{"pageNumber":"246","pageRowStart":"6125","pageSize":"25","recordCount":68807,"records":[{"id":70209785,"text":"70209785 - 2020 - Longitudinal, lateral, vertical, and temporal thermal heterogeneity in a large impounded river: Implications for cold-water refuges","interactions":[],"lastModifiedDate":"2020-04-29T13:06:52.904537","indexId":"70209785","displayToPublicDate":"2020-04-28T08:04:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Longitudinal, lateral, vertical, and temporal thermal heterogeneity in a large impounded river: Implications for cold-water refuges","docAbstract":"Dam operations can affect mixing of the water column, thereby influencing thermal heterogeneity spatially and temporally. This occurs by restricting or eliminating connectivity in longitudinal, lateral, vertical, and temporal dimensions. We examined thermal heterogeneity across space and time and identified potential cold-water refuges for salmonids in a large impounded river in inland northwestern USA. To describe these patterns, we used thermal infrared (TIR) imagery, in situ thermographs, and high-resolution, 3-D hydraulic mapping. We explained the median water temperature and probability of occurrence of cool-water areas using generalized additive models (GAMs) at reach and subcatchment scales, and we evaluated potential cold-water refuge occurrence in relation to these patterns. We demonstrated that (1) lateral contributions from tributaries dominated thermal heterogeneity, (2) thermal variability at confluences was approximately an order of magnitude greater than of the main stem, (3) potential cold-water refuges were mostly found at confluences, and (4) the probability of occurrence of cool areas and median water temperature were associated with channel geomorphology and distance from dam. These findings highlight the importance of using multiple approaches to describe thermal heterogeneity in large, impounded rivers and the need to incorporate these types of rivers in the understanding of thermal riverscapes because of their limited representation in the literature.","language":"English","publisher":"MDPI","doi":"10.3390/rs12091386","collaboration":"","usgsCitation":"Mejia, F.H., Torgersen, C.E., Berntsen, E.K., Maroney, J.R., Connor, J., Fullerton, A.H., Ebersole, J.L., and Lorang, M.L., 2020, Longitudinal, lateral, vertical, and temporal thermal heterogeneity in a large impounded river: Implications for cold-water refuges: Remote Sensing, v. 12, no. 9, https://doi.org/10.3390/rs12091386.","productDescription":"1386, 29 p.","startPage":"","ipdsId":"IP-116596","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":456932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12091386","text":"Publisher Index Page"},{"id":374347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Mejia, Francine H. 0000-0003-4447-231X","orcid":"https://orcid.org/0000-0003-4447-231X","contributorId":214345,"corporation":false,"usgs":true,"family":"Mejia","given":"Francine","email":"","middleInitial":"H.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":788002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":788003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berntsen, Eric K","contributorId":214885,"corporation":false,"usgs":false,"family":"Berntsen","given":"Eric","email":"","middleInitial":"K","affiliations":[{"id":39131,"text":"Kalispel Tribe of Indians","active":true,"usgs":false}],"preferred":false,"id":788004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maroney, Joseph R","contributorId":224367,"corporation":false,"usgs":false,"family":"Maroney","given":"Joseph","email":"","middleInitial":"R","affiliations":[{"id":40867,"text":"Kalispel Tribe Natural Resources Department","active":true,"usgs":false}],"preferred":false,"id":788005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connor, J M","contributorId":224368,"corporation":false,"usgs":false,"family":"Connor","given":"J M","affiliations":[{"id":40867,"text":"Kalispel Tribe Natural Resources Department","active":true,"usgs":false}],"preferred":false,"id":788006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fullerton, Aimee H.","contributorId":146936,"corporation":false,"usgs":false,"family":"Fullerton","given":"Aimee","email":"","middleInitial":"H.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":788007,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":788008,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lorang, Mark L","contributorId":224369,"corporation":false,"usgs":false,"family":"Lorang","given":"Mark","email":"","middleInitial":"L","affiliations":[{"id":40868,"text":"FreshwaterMap","active":true,"usgs":false}],"preferred":false,"id":788009,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70211590,"text":"70211590 - 2020 - Time-dependent accumulation of Cd, Co, Cu, Ni, and Zn in mayfly and caddisfly larvae in experimental streams: Metal sensitivity, uptake pathways, and mixture toxicity","interactions":[],"lastModifiedDate":"2020-08-04T13:01:40.624742","indexId":"70211590","displayToPublicDate":"2020-04-28T07:56:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Time-dependent accumulation of Cd, Co, Cu, Ni, and Zn in mayfly and caddisfly larvae in experimental streams: Metal sensitivity, uptake pathways, and mixture toxicity","docAbstract":"Conceptual and quantitative models were developed to assess time-dependent processes in four sequential experimental stream studies that determined abundances of natural communities of mayfly and caddisfly larvae dosed with single metals (Cd, Co, Cu, Ni, Zn) or multiple metals (Cd+Zn, Co+Cu, Cu+Ni, Cu+Zn, Ni+Zn, Cd+Cu+Zn, Co+Cu+Ni, Cu+Ni+Zn).  Metal mixtures contained environmentally relevant metal ratios found in mine drainage.  Free metal ion concentrations, accumulation of metals by periphyton, and metal uptake by four families of aquatic insect larvae were either measured (Brachycentridae) or predicted (Ephemerellidae, Heptageniidae, Hydropsychidae) using equilibrium and biodynamic models.  Toxicity functions, which included metal accumulations by larvae and metal potencies, were linked to abundances of the insect families.  Model results indicated that mayflies accumulated more metal than caddisflies and the relative importance of metal uptake by larvae via dissolved or dietary pathways highly depended on metal uptake rate constants for each insect family and concentrations of metals in food and water.  For solution compositions in the experimental streams, accumulations of Cd, Cu, and Zn in larvae occurred primarily through dietary uptake, whereas uptake of dissolved metal was more important for Co and Ni accumulations.  Cd, Cu, and Ni were major contributors to toxicity in metal mixtures and for metal ratios examined.  Our conceptual approach and quantitative results should aid in designing laboratory experiments and field studies that evaluate metal uptake pathways and metal mixture toxicity to aquatic biota.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.139011","usgsCitation":"Balistrieri, L.S., Mebane, C.A., and Schmidt, T., 2020, Time-dependent accumulation of Cd, Co, Cu, Ni, and Zn in mayfly and caddisfly larvae in experimental streams: Metal sensitivity, uptake pathways, and mixture toxicity: Science of the Total Environment, v. 732, 139011, 16 p., https://doi.org/10.1016/j.scitotenv.2020.139011.","productDescription":"139011, 16 p.","ipdsId":"IP-112332","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":456935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.139011","text":"Publisher Index Page"},{"id":377004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"732","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794742,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228436,"text":"70228436 - 2020 - Trophodynamics of per- and polyfluoroalkyl substances in the food web of a large Atlantic slope river","interactions":[],"lastModifiedDate":"2022-02-10T13:21:14.411448","indexId":"70228436","displayToPublicDate":"2020-04-28T07:17:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Trophodynamics of per- and polyfluoroalkyl substances in the food web of a large Atlantic slope river","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Per- and polyfluoroalkyl substances (PFASs) have attracted scientific and regulatory attention due to their persistence, bioaccumulative potential, toxicity, and global distribution. We determined the accumulation and trophic transfer of 14 PFASs (5 short-chain and 9 long-chain) within the food web of the Yadkin-Pee Dee River of North Carolina and South Carolina, US. Food web components and pathways were determined by stable isotope analyses of producers, consumers, and organic matter. Analyses of water, sediment, organic matter, and aquatic biota revealed that PFASs were prevalent in all food web compartments. Biofilm, an aggregation of bacteria, fungi, algae, and protozoans and a basal resource for the aquatic food web, showed high PFAS accumulation (in 10 of 14 compounds), particularly for perfluorooctanoic acid, with the greatest mean concentration of 463.73 ng/g. The food web compartment with the most detections and greatest concentrations of PFASs was aquatic insects; all 14 PFASs were detected in individual aquatic insect samples (range of &lt;limit of detection [&lt;LOD] to 1670.10 ng/g of wet weight [WW]). These findings may suggest a trophic link between biofilm PFASs and aquatic insect PFASs. Individual fish tissue samples ranged from &lt;LOD to 797.00 ng/g of WW, where perfluorooctanesulfonate (PFOS) was the dominant PFAS among all samples (64%). The ova of an imperiled fish, the robust redhorse (<i>Moxostoma robustum</i>), had concentrations of 10 PFASs (range of &lt;LOD to 482.88 ng/g of WW) and the highest PFOS concentration (482.88 ng/g of WW), indicating a likely maternal transfer. The trophic magnification factors (TMFs) calculated in this study showed that various taxa accumulated PFAS compounds differently. PFBS, a short-chain PFAS compound that would presumably exhibit lesser TMFs, had nine values among our compartments and organisms &gt;1.0 (range of 0.57 to 2.33); it is possible that an unmeasured PFBS precursor may be accumulating in biota and metabolizing to PFBS, leading to a higher than expected TMFs for this compound. Our findings demonstrate the prevalence of PFASs in a freshwater food web with potential implications for ecological and human health.</p></div></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b05007","usgsCitation":"Penland, T.N., Cope, W., Kwak, T.J., Strynar, M., Grieshaber, C.A., Heise, R., and Sessions, F., 2020, Trophodynamics of per- and polyfluoroalkyl substances in the food web of a large Atlantic slope river: Environmental Science and Technology, v. 54, no. 11, p. 6800-6811, https://doi.org/10.1021/acs.est.9b05007.","productDescription":"12 p.","startPage":"6800","endPage":"6811","ipdsId":"IP-111358","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":456938,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8190818","text":"External Repository"},{"id":395762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.52978515625,\n              36.527294814546245\n            ],\n            [\n              -80.771484375,\n              36.63316209558658\n            ],\n            [\n              -81.40869140625,\n              36.77409249464195\n            ],\n            [\n              -81.73828125,\n              36.474306755095235\n            ],\n            [\n              -81.5625,\n              36.10237644873644\n            ],\n            [\n              -81.2548828125,\n              35.33529320309328\n            ],\n            [\n              -80.4638671875,\n              34.30714385628804\n            ],\n            [\n              -79.65087890624999,\n              33.22949814144951\n            ],\n            [\n              -79.07958984375,\n              32.879587173066305\n            ],\n            [\n              -78.50830078125,\n              33.8339199536547\n            ],\n            [\n              -79.07958984375,\n              34.903952965590065\n            ],\n            [\n              -80.52978515625,\n              36.527294814546245\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Penland, T. N.","contributorId":275792,"corporation":false,"usgs":false,"family":"Penland","given":"T.","email":"","middleInitial":"N.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":834290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cope, W. G.","contributorId":275793,"corporation":false,"usgs":false,"family":"Cope","given":"W. G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":834291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strynar, M.J.","contributorId":275795,"corporation":false,"usgs":false,"family":"Strynar","given":"M.J.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":834293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grieshaber, C. A.","contributorId":275797,"corporation":false,"usgs":false,"family":"Grieshaber","given":"C.","email":"","middleInitial":"A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":834294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heise, R. J.","contributorId":275798,"corporation":false,"usgs":false,"family":"Heise","given":"R. J.","affiliations":[{"id":48960,"text":"Duke Energy","active":true,"usgs":false}],"preferred":false,"id":834295,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sessions, F.W.","contributorId":275801,"corporation":false,"usgs":false,"family":"Sessions","given":"F.W.","email":"","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":834296,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70210186,"text":"70210186 - 2020 - Discovery of a reproducing wild population of the swamp eel Amphipnous cuchia (Hamilton, 1822) in North America","interactions":[],"lastModifiedDate":"2020-05-19T23:13:14.268525","indexId":"70210186","displayToPublicDate":"2020-04-27T18:07:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":994,"text":"BioInvasions Records","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Discovery of a reproducing wild population of the swamp eel <i>Amphipnous cuchia</i> (Hamilton, 1822) in North America","title":"Discovery of a reproducing wild population of the swamp eel Amphipnous cuchia (Hamilton, 1822) in North America","docAbstract":"<p><span>We report discovery of an established population of the Asian swamp eel&nbsp;</span><i>Amphipnous cuchia</i><span>&nbsp;(Hamilton, 1822) in Bayou St. John, an urban waterway in New Orleans, Louisiana, USA. This fish, commonly referred to as cuchia (kuchia), is a member of the family Synbranchidae and is native to southern and southeastern Asia. Recently-used synonyms include&nbsp;</span><i>Monopterus cuchia</i><span>&nbsp;and&nbsp;</span><i>Ophichthys cuchia</i><span>. We collected both adult and young-of-year cuchia from dense mats of littoral vegetation at several locations in Bayou St. John. Presence of multiple age and size classes is the first documented evidence of reproduction of this species outside of its native range. Establishment of this air-breathing, burrowing, salt-tolerant, opportunistic predator is of concern given that Bayou St. John is a tributary of Lake Pontchartrain, which provides a direct pathway for dispersal into the Mississippi River basin and coastal wetlands of the Gulf of Mexico.</span></p>","language":"English","publisher":"REABIC","usgsCitation":"Jordan, F., Nico, L., Huggins, K., Martinat, P.J., Martinez, D.A., and Rodrigues, V.L., 2020, Discovery of a reproducing wild population of the swamp eel Amphipnous cuchia (Hamilton, 1822) in North America: BioInvasions Records, v. 9, no. 2, p. 367-374.","productDescription":"8 p.","startPage":"367","endPage":"374","ipdsId":"IP-111259","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":374939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":374938,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.reabic.net/journals/bir/2020/Issue2.aspx"}],"country":"United States","state":"Louisiana","city":"New Orleans","otherGeospatial":"Bayou St John","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.09407043457031,\n              29.972111446986677\n            ],\n            [\n              -90.07870674133301,\n              29.972111446986677\n            ],\n            [\n              -90.07870674133301,\n              30.02080035280506\n            ],\n            [\n              -90.09407043457031,\n              30.02080035280506\n            ],\n            [\n              -90.09407043457031,\n              29.972111446986677\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jordan, Frank","contributorId":181811,"corporation":false,"usgs":false,"family":"Jordan","given":"Frank","email":"","affiliations":[],"preferred":false,"id":789470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nico, Leo 0000-0002-4488-7737","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":219326,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huggins, Krystal","contributorId":224778,"corporation":false,"usgs":false,"family":"Huggins","given":"Krystal","email":"","affiliations":[{"id":40937,"text":"3Department of Biology, Xavier University, New Orleans, LA 70125, USA","active":true,"usgs":false}],"preferred":false,"id":789472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martinat, Peter J.","contributorId":224779,"corporation":false,"usgs":false,"family":"Martinat","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":40937,"text":"3Department of Biology, Xavier University, New Orleans, LA 70125, USA","active":true,"usgs":false}],"preferred":false,"id":789473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinez, Dahlia A.","contributorId":224780,"corporation":false,"usgs":false,"family":"Martinez","given":"Dahlia","email":"","middleInitial":"A.","affiliations":[{"id":40938,"text":"Department of Biological Sciences, Loyola University New Orleans, New Orleans, LA 70118, USA","active":true,"usgs":false}],"preferred":false,"id":789474,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rodrigues, Victoria L.","contributorId":224781,"corporation":false,"usgs":false,"family":"Rodrigues","given":"Victoria","email":"","middleInitial":"L.","affiliations":[{"id":40939,"text":"Environment Program, Loyola University New Orleans, New Orleans, LA 70118, USA","active":true,"usgs":false}],"preferred":false,"id":789475,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209233,"text":"sir20205032 - 2020 - Magnitude and frequency of floods in Alabama, 2015","interactions":[],"lastModifiedDate":"2020-04-28T12:17:24.386512","indexId":"sir20205032","displayToPublicDate":"2020-04-27T14:21:30","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5032","displayTitle":"Magnitude and Frequency of Floods in Alabama, 2015","title":"Magnitude and frequency of floods in Alabama, 2015","docAbstract":"<p>To improve flood-frequency estimates at rural streams in Alabama, annual exceedance probability flows at gaged locations and regional regression equations used to estimate annual exceedance probability flows at ungaged locations were developed by using current geospatial data, new analytical methods, and annual peak-flow data through September 2015 at 242 streamgages in Alabama and surrounding States. The regional regression equations were derived from statistical analyses of annual peak-flow data and basin characteristics for a subset of 217 streamgages. Four flood regions were identified based on residuals from the regional regression analyses and contain sites with similar basin characteristics. A separate set of equations was derived for estimating flood frequency and magnitude for small rural streams using a subset of 40 small basin streamgages. A large river analysis was also completed for 14 selected large-river streamgages in Alabama. Annual exceedance probability flows presented in this report reflect additional streamflow data collected since the previous study of flood magnitude and frequency in Alabama, which included streamflow through September 2003.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205032","collaboration":"Alabama Department of Transportation","usgsCitation":"Anderson, B.T., 2020, Magnitude and frequency of floods in Alabama, 2015: U.S. Geological Survey Scientific Investigations Report 2020–5032, 148 p., https://doi.org/10.3133/sir20205032.","productDescription":"Report: vii, 148 p.; 1 Plate: 20.00 x 30.00 inches; Data Release","numberOfPages":"160","onlineOnly":"N","ipdsId":"IP-104043","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":374279,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2020/5032/sir20205032_plate01.pdf","text":"Plate 1","size":"1.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5032 plate 1","linkHelpText":"—Locations of Flood Regions and Streamgages in Alabama"},{"id":374278,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5032/sir20205032.pdf","text":"Report","size":"6.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5032"},{"id":374277,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5032/coverthb.jpg"},{"id":374280,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TYSZLL","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Flood regions and annual exceedance probability flows for Alabama streams, data through 2015"}],"country":"United States","state":"Alabama","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.39599609375,\n              30.41078179084589\n            ],\n            [\n              -87.36328125,\n              30.391830328088137\n            ],\n            [\n              -87.5390625,\n              30.789036751261136\n            ],\n            [\n              -87.47314453125,\n              31.034108344903512\n            ],\n            [\n              -85.078125,\n              31.071755902820133\n            ],\n            [\n              -84.96826171874999,\n              32.26855544621476\n            ],\n            [\n              -85.62744140625,\n              34.95799531086792\n            ],\n            [\n              -88.04443359375,\n              34.994003757575776\n            ],\n            [\n              -88.48388671874999,\n              32.02670629333614\n            ],\n            [\n              -88.39599609375,\n              30.41078179084589\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a> <br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100 <br>Nashville, TN 37211 </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Data Compilation</li><li>Flood-Frequency Analysis</li><li>Flood-Frequency Estimates at Streamgages in Alabama</li><li>Flood-Frequency Estimates at Ungaged Locations on Gaged Streams</li><li>Flood-Frequency Estimates at Locations on Ungaged Streams</li><li>Accuracy and Limitations of Regional Regression Equations</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1</li><li>Appendix 2</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-04-27","noUsgsAuthors":false,"publicationDate":"2020-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Brandon T. 0000-0001-6698-0791","orcid":"https://orcid.org/0000-0001-6698-0791","contributorId":209976,"corporation":false,"usgs":true,"family":"Anderson","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785489,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70209740,"text":"fs20203019 - 2020 - The importance of U.S. Geological Survey water-quality super gages","interactions":[],"lastModifiedDate":"2020-04-28T12:08:55.323949","indexId":"fs20203019","displayToPublicDate":"2020-04-27T13:22:04","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3019","displayTitle":"The Importance of U.S. Geological Survey Water-Quality Super Gages","title":"The importance of U.S. Geological Survey water-quality super gages","docAbstract":"<p><span>Super gages are an important tool providing real-time, continuous water-quality data at streamgages or groundwater wells. They are designed to address specific water-resource threats such as water-related human health issues including harmful algal blooms, floods, droughts, and hazardous substance spills. In addition, super gages improve our understanding of the effects land-use practices have on critical water resources. Super gage data allow the development of surrogates, a continuous in-stream sensor measurement used to estimate something of greater interest to environmental managers, to be modeled and reported in near real-time concentrations and loads. This fact sheet presents some of the ways water-quality data from a USGS super gage network benefits all of us.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203019","collaboration":"Prepared in cooperation with the Kentucky Governor's Office of Agricultural Policy","usgsCitation":"Crain, A.S., 2020, The importance of U.S. Geological Survey water-quality super gages: U.S. Geological Survey Fact Sheet 2020–3019, 2 p., https://doi.org/10.3133/fs20203019.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-113930","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":374216,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3019/coverthb.jpg"},{"id":374217,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3019/fs20203019.pdf","text":"Report","size":"2.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020–3019"}],"contact":"<p>Director,&nbsp;<a data-mce-href=\"https://www.usgs.gov/centers/oki-water\" href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey <br>9818 Bluegrass Parkway <br>Louisville, KY 40299<br></p>","tableOfContents":"<ul><li>What is a U.S. Geological Survey (USGS) Super Gage?</li><li>What can be Measured at a Super Gage?</li><li>What are the Benefits of USGS Super Gage Data?</li><li>Why Does My State Need a Super Gage Network?</li><li>How do you Access the Data?</li><li>References</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2020-04-27","noUsgsAuthors":false,"publicationDate":"2020-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Crain, Angela S. 0000-0003-0969-6238 ascrain@usgs.gov","orcid":"https://orcid.org/0000-0003-0969-6238","contributorId":3090,"corporation":false,"usgs":true,"family":"Crain","given":"Angela","email":"ascrain@usgs.gov","middleInitial":"S.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787758,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208768,"text":"ofr20201020 - 2020 - Report of the River Master of the Delaware River for the period December 1, 2010–November 30, 2011","interactions":[],"lastModifiedDate":"2020-04-28T12:03:32.83942","indexId":"ofr20201020","displayToPublicDate":"2020-04-27T10:10:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1020","displayTitle":"Report of the River Master of the Delaware River for the Period December 1, 2010–November 30, 2011","title":"Report of the River Master of the Delaware River for the period December 1, 2010–November 30, 2011","docAbstract":"<p>A Decree of the Supreme Court of the United States, entered June 7, 1954, established the position of Delaware River Master within the U.S. Geological Survey. In addition, the Decree authorizes diversion of water from the Delaware River Basin and requires compensating releases from certain reservoirs, owned by New York City, to be made under the supervision and direction of the River Master. The Decree stipulates that the River Master will furnish reports to the Court, not less frequently than annually. This report is the 58th Annual Report of the River Master of the Delaware River. It covers the 2011 River Master report year, the period from December 1, 2010, to November 30, 2011.</p><p>During the report year, precipitation in the upper Delaware River Basin was 71.43 inches or 162 percent of the long-term average. On December 1, 2010, combined usable storage in the New York City reservoirs in the upper Delaware River Basin was 230.430 billion gallons or 85.1 percent of combined storage capacity. The reservoirs were at about 100 percent of usable capacity on May 31, 2011. Combined storage remained high (above 80 percent combined capacity) through November 2011. River Master operations during the year were conducted as stipulated by the Decree and the Flexible Flow Management Program.</p><p>Diversions from the Delaware River Basin by New York City and New Jersey were in full compliance with the Decree. Reservoir releases were made as directed by the River Master at rates designed to meet the flow objective for the Delaware River at Montague, New Jersey, on 5 days during the report year (July 24–28, 2011). Conservation releases, designed to relieve thermal stress and protect the fishery and aquatic habitat in the tailwaters of the reservoirs, were also made during the report year.</p><p>The quality of water in the Delaware Estuary between Trenton, New Jersey, and Reedy Island Jetty, Delaware, was monitored at various locations. Data on water temperature, specific conductance, dissolved oxygen, and pH were collected continuously by electronic instruments at four sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201020","usgsCitation":"DiFrenna, V.J., Andrews, W.J., Russell, K.L., Norris, J.M., and Mason, R.R., Jr., 2020, Report of the River Master of the Delaware River for the period December 1, 2010–November 30, 2011: U.S. Geological Survey Open-File Report 2020–1020, 127 p., https://doi.org/10.3133/ofr20201020.","productDescription":"x, 127 p.","numberOfPages":"141","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-112762","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":374239,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1020/coverthb.jpg"},{"id":374254,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1020/ofr20201020.pdf","text":"Report","size":"4.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1020"}],"country":"United States","state":"New York, New Jersey, Pennsylvania ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.673583984375,\n              39.7240885773337\n            ],\n            [\n              -73.828125,\n              39.7240885773337\n            ],\n            [\n              -73.828125,\n              42.67435857693381\n            ],\n            [\n              -76.673583984375,\n              42.67435857693381\n            ],\n            [\n              -76.673583984375,\n              39.7240885773337\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:gs-w_odrm_webmaster@usgs.gov\" data-mce-href=\"mailto:gs-w_odrm_webmaster@usgs.gov\">Deputy Delaware River Master</a><br><a href=\"https://webapps.usgs.gov/odrm/\" data-mce-href=\"https://webapps.usgs.gov/odrm/\">Office of the Delaware River Master</a><br>U.S. Geological Survey<br>120 Route 209 South<br>Milford, PA 18337</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Definition of Terms and Procedures</li><li>Introduction</li><li>Method to Determine Directed Releases from New York City Reservoirs</li><li>Hydrologic Conditions</li><li>Operations</li><li>Comparison of River Master Operations Data with Other Records</li><li>Conformance of Operations Under the Amended Decree of the U.S. Supreme Court Entered June 7, 1954</li><li>Quality of Water in the Delaware Estuary</li><li>References Cited</li><li>Appendix 1. Agreement of the Parties to the 1954 U.S. Supreme Court Decree, Effective February 14, 2011</li><li>Appendix 2. Agreement for Revised FFMP Language to Address Water Equivalent of Snow Pack, Effective February 15, 2011</li><li>Appendix 3. Agreement of the Parties of the 1954 U.S. Supreme Court Decree for a Flexible Flow Management Program, Effective June 1, 2011</li><li>Appendix 4. Agreement for Temporary Thermal Releases Program for Fisheries Protection, Effective July 22, 2011</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-04-27","noUsgsAuthors":false,"publicationDate":"2020-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"DiFrenna, Vincent J. 0000-0002-1336-7288","orcid":"https://orcid.org/0000-0002-1336-7288","contributorId":222850,"corporation":false,"usgs":true,"family":"DiFrenna","given":"Vincent J.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":783336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, William J. 0000-0003-4780-8835","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":216006,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Kendra L. 0000-0002-3046-7440","orcid":"https://orcid.org/0000-0002-3046-7440","contributorId":218135,"corporation":false,"usgs":true,"family":"Russell","given":"Kendra","email":"","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":783333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norris, J. Michael 0000-0002-7480-0161","orcid":"https://orcid.org/0000-0002-7480-0161","contributorId":222849,"corporation":false,"usgs":true,"family":"Norris","given":"J. Michael","affiliations":[{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true}],"preferred":true,"id":783335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mason,, Robert R. Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":176493,"corporation":false,"usgs":true,"family":"Mason,","given":"Robert R.","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":783337,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210833,"text":"70210833 - 2020 - Robust ecological drought projections for drylands in the 21st century","interactions":[],"lastModifiedDate":"2020-06-29T14:35:05.518325","indexId":"70210833","displayToPublicDate":"2020-04-27T09:24:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Robust ecological drought projections for drylands in the 21st century","docAbstract":"(Bradford) Dryland ecosystems may be especially vulnerable to expected 21st century increases in temperatures and aridity because they are tightly controlled by patterns of moisture availability. However, climate impact assessments in drylands are difficult because ecological dynamics are dictated by drought conditions that are difficult to define and complex to estimate from climate conditions alone. In addition, precipitation projections vary substantially among climate models, enhancing variation in overall trajectories for aridity.  Here, we constrain this uncertainty by utilizing an ecosystem water balance model to quantify drought conditions with recognized ecological importance, and by identifying changes in ecological drought conditions that are robust among climate models.  Despite limited evidence for robust changes in precipitation, changes in ecological drought are robust over large portions of N. American drylands.  Our results suggest strong regional differences in long-term drought trajectories, epitomized by chronic drought increases in southern areas and decreases in the north.  However, we also found that exposure to hot-dry stress is both increasing faster than mean annual temperature and, surprisingly, most pronounced in northern areas.  Robust shifts in seasonal patterns of soil moisture availability are identified in most regions, although the directions of change and implications for ecosystems vary geographically.  These results provide useful insights about the likely impact of climate change on dryland ecosystems in N. America. More broadly, this approach of identifying robust changes in ecological drought may be useful for other assessment of climate change impacts in drylands and may provide a more rigorous foundation for making long-term strategic resource management decisions.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15075","usgsCitation":"Bradford, J., Schlaepfer, D.R., Lauenroth, W.K., and Palmquist, K.A., 2020, Robust ecological drought projections for drylands in the 21st century: Global Change Biology, v. 26, no. 7, p. 3906-3919, https://doi.org/10.1111/gcb.15075.","productDescription":"14 p.","startPage":"3906","endPage":"3919","ipdsId":"IP-116091","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437011,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YU6PQB","text":"USGS data release","linkHelpText":"Robust ecological drought projection data for drylands in the 21st century"},{"id":375970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -128.84765625,\n              24.926294766395593\n            ],\n            [\n              -94.39453125,\n              24.926294766395593\n            ],\n            [\n              -94.39453125,\n              53.904338156274704\n            ],\n            [\n              -128.84765625,\n              53.904338156274704\n            ],\n            [\n              -128.84765625,\n              24.926294766395593\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":791641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":791642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":791686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palmquist, Kyle A.","contributorId":169517,"corporation":false,"usgs":false,"family":"Palmquist","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":791687,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209820,"text":"70209820 - 2020 - Book review: Proceedings of the First International Snakehead Symposium","interactions":[],"lastModifiedDate":"2020-06-04T17:13:01.199917","indexId":"70209820","displayToPublicDate":"2020-04-27T06:18:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Proceedings of the First International Snakehead Symposium","docAbstract":"Snakehead fishes (family Channidae) are among the most maligned aquatic invasive species in the USA and some other countries where they have been introduced outside of their native range in Asia and Africa. Nevertheless, snakeheads continue to be widely exploited in the live‐food trade in aquaculture and wild‐capture fisheries, are highly sought by anglers, and are also popular in the aquarium trade (Courtenay and Williams 2004). The Northern Snakehead Channa argus is the most widespread of the three channid species that are currently naturalized in the USA. This species has generated much concern and controversy, a situation that is partly fueled by sensational media coverage and B‐grade science fiction horror films, such as “Frankenfish,” “Snakehead Terror,” and “Snakehead Swamp.” Media reports of snakehead introductions are often replete with provocative terms, such as “vicious,” “villain,” “voracious,” “monster,” “diabolical,” and even “ecological Armageddon.” When snakeheads first appeared in natural waters of the USA, fisheries professionals became increasingly interested in their status. Established populations rapidly expanded in the mid‐Atlantic region and Arkansas, with scattered reports of introduced snakeheads from isolated locations in Hawaii, California, North Carolina, Florida, the Upper Midwest, and New England. In 2002, snakeheads were added to the list of injurious fishes under the Lacey Act, thereby prohibiting their importation or transport across state lines without a permit. This symposium was conceived by the editors and other concerned fisheries professionals of the Mississippi River Basin Panel on Aquatic Invasive Species. The mission of the symposium, held in Alexandria, Virginia, in July 2018, was to bring together experts on snakehead biology and ecology and to synthesize existing information into summary papers.\n\nIn this book, 35 authors contributed to 15 peer‐reviewed articles that detail the current state of knowledge about snakehead introductions in the USA. Additionally, 16 abstracts are included from meeting presentations that were not accompanied by full‐length manuscripts. Also included is a summary of a facilitated symposium panel discussion featuring eight experts representing state and federal natural resource agencies and private fishing organizations. The book is organized into six sections. In the first section (Distribution), three papers provide an overview of the Channa species introduced into the USA and historical accounts of occurrence and dispersal of the Northern Snakehead in the mid‐Atlantic region and Arkansas. The second section (Biology/Ecology) consists of two articles that examine growth and energetics of Northern Snakehead populations and two papers that investigate diet, diel feeding activity, and movement of this species in the Potomac River drainage. The third section (Monitoring/Response) includes a paper that models range expansion of the Northern Snakehead in the southeastern USA based on occurrence data and environmental conditions. Also included in this section is a paper summarizing an environmental DNA study to assess the status and range of the Bullseye Snakehead C. marulius in southern Florida. The fourth section (Management/Control) is comprised of four papers that address harvest, age and growth, and development of a stock–recruitment model to inform management decisions regarding control and mitigation for Northern Snakehead populations in the greater Chesapeake Bay area. The fifth section (Perspectives) includes a paper on the history of snakehead introductions in Japan and a thought‐provoking social commentary on the human dimensions of Northern Snakehead management. Abstracts in the final section provide brief summaries of a diversity of snakehead studies, including aspects of distribution, ecology, behavior, control and monitoring efforts, public outreach, and pathology. The summary of the panel discussion is an engaging dialogue about the challenges of snakehead management in the context of conflicts regarding snakeheads as injurious versus their value as game and food species.\n\nMost of this book is focused on the Northern Snakehead. Much has been done to document snakehead distributions and certain aspects of snakehead biology, such as diets, age, and growth. Less research has been devoted to understanding the ecological impacts of snakeheads to native aquatic communities and ecosystems. This book would have benefited from a chapter summarizing the current systematics and diversity of the Channidae to inform fisheries biologists about the morphological characteristics of the family, approximate numbers of genera and species, and taxonomic instability. Exemplifying the latter, recent molecular and morphological evidence indicates uncertainty regarding identification of the feral snakehead population in Florida (Adamson and Britz 2019). Those authors suggest that this population may have originated from western Thailand, a possibility that could have implications for understanding historical pathways of snakehead introductions into the USA.\n\nIn comparison with many published AFS symposia, this volume is relatively narrow in scope and lacks cohesive integration. It will primarily be of interest to those fisheries professionals engaged in the study of snakeheads as well as other nonnative species for which there are contrasting social values regarding their management: whether to monitor and attempt control or eradication efforts or to maintain populations for harvest as game or food species. The book should serve to identify information gaps and guide future research.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10229","usgsCitation":"Walsh, S., 2020, Book review: Proceedings of the First International Snakehead Symposium: Transactions of the American Fisheries Society, v. 149, no. 3, p. 364-365, https://doi.org/10.1002/tafs.10229.","productDescription":"2 p.","startPage":"364","endPage":"365","ipdsId":"IP-116543","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":374390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"149","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Stephen 0000-0002-1009-8537","orcid":"https://orcid.org/0000-0002-1009-8537","contributorId":214723,"corporation":false,"usgs":true,"family":"Walsh","given":"Stephen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":788158,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70211280,"text":"70211280 - 2020 - Modelling grass carp egg transport using a 3-D hydrodynamic river model: The role of egg retention in dead zones on spawning success","interactions":[],"lastModifiedDate":"2020-08-04T14:30:08.001153","indexId":"70211280","displayToPublicDate":"2020-04-24T10:36:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Modelling grass carp egg transport using a 3-D hydrodynamic river model: The role of egg retention in dead zones on spawning success","docAbstract":"Invasive grass carp (Ctenopharyngodon idella) are known to spawn in the Sandusky River, Ohio, USA, within the Great Lakes Basin, and are threatening to expand throughout the Great Lakes. Successful spawning is thought to require that eggs remain in suspension until hatching, which depends on river hydrodynamics and temperature-dependent egg development. Previous modelling efforts used one-dimensional hydrodynamic models that simplify egg movement by not simulating low-velocity zones within the river. To examine the effect of low-velocity zones on egg transit times and hatching rates, we developed a novel coupling of a biophysical Lagrangian particle tracker and three-dimensional hydrodynamic model on the Sandusky River during a high-flow event. The model successfully predicted egg-capture data for a range of developmental stages and revealed a mechanism that resuspends eggs trapped in low-velocity zones. The resuspension mechanism increases the residence time of grass carp eggs in spawning tributaries and can lead to successful hatching occurring in shorter distances than previously estimated. Grass carp potentially spawning in shorter tributary lengths has widespread implications for efforts preventing establishment in the Great Lakes Basin.","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2019-0344","usgsCitation":"Heer, T., Wells, M.G., Jackson, P.R., and Mandrak, N.E., 2020, Modelling grass carp egg transport using a 3-D hydrodynamic river model: The role of egg retention in dead zones on spawning success: Canadian Journal of Fisheries and Aquatic Sciences, v. 77, no. 8, p. 1379-1392, https://doi.org/10.1139/cjfas-2019-0344.","productDescription":"14 p.","startPage":"1379","endPage":"1392","ipdsId":"IP-109963","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501026,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/101564","text":"External Repository"},{"id":437014,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M9080M","text":"USGS data release","linkHelpText":"Velocity, Discharge, and Dye Concentrations During a Dye Tracer Study on the Lower Sandusky River, Ohio, July 11-13, 2017"},{"id":376640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Sandusky River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.199462890625,\n              40.6723059714534\n            ],\n            [\n              -82.408447265625,\n              40.6723059714534\n            ],\n            [\n              -82.408447265625,\n              41.549700145132725\n            ],\n            [\n              -83.199462890625,\n              41.549700145132725\n            ],\n            [\n              -83.199462890625,\n              40.6723059714534\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"77","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Heer, Tej","contributorId":229535,"corporation":false,"usgs":false,"family":"Heer","given":"Tej","email":"","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":793486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wells, Mathew G.","contributorId":229536,"corporation":false,"usgs":false,"family":"Wells","given":"Mathew","email":"","middleInitial":"G.","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":793487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mandrak, Nicholas E.","contributorId":177869,"corporation":false,"usgs":false,"family":"Mandrak","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":793489,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211828,"text":"70211828 - 2020 - Salt flushing, salt storage, and controls on selenium: A 31-year mass-balance analysis of an irrigated, semiarid valley","interactions":[],"lastModifiedDate":"2020-08-26T19:33:17.012994","indexId":"70211828","displayToPublicDate":"2020-04-23T16:45:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Salt flushing, salt storage, and controls on selenium: A 31-year mass-balance analysis of an irrigated, semiarid valley","docAbstract":"<p><span>Salinity, selenium, and uranium pose water‐quality challenges for the Arkansas River in southeastern Colorado and other rivers that support irrigation in semiarid regions. This study used 31&nbsp;years of continuous discharge and specific conductance (SC) monitoring data to assess interannual patterns in water quality using mass balance on a 120‐km reach of river. Discrete sampling data were used to link the SC records to salinity, selenium, and uranium. Several important patterns emerged. Consumptive use reduced discharge by a median value of 33% and drove corresponding increases in salinity and uranium concentrations. Increased water availability for irrigation from rainfall and upstream snowpack in 1995–1999 flushed additional salinity and uranium into the river in 1996–2000; average annual total dissolved solids (salinity) concentrations increased 25%, and loads increased 131%. Smaller flushing events have occurred, sometimes lagging an increase in water availability by about one year. The pattern indicates flushing of salts temporarily stored, evaporatively concentrated, or of geologic origin. Mobilization of selenium from the reach was minor compared to salinity and uranium, and net selenium removal from the river was suggested in some years. Several processes related to irrigation could be removing selenium. The results provide context for efforts to improve water quality in the Arkansas River and rivers in other semiarid regions.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12841","usgsCitation":"Bern, C.R., Holmberg, M.J., and Kisfalusi, Z.D., 2020, Salt flushing, salt storage, and controls on selenium: A 31-year mass-balance analysis of an irrigated, semiarid valley: Journal of the American Water Resources Association, v. 56, no. 4, p. 647-668, https://doi.org/10.1111/1752-1688.12841.","productDescription":"22 p.","startPage":"647","endPage":"668","ipdsId":"IP-102689","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":456966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12841","text":"Publisher Index Page"},{"id":377212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Arkansas River Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.06298828125,\n              38.62545397209084\n            ],\n            [\n              -103.45275878906249,\n              39.104488809440475\n            ],\n            [\n              -104.5074462890625,\n              39.35978526869001\n            ],\n            [\n              -105.9906005859375,\n              39.29604824402406\n            ],\n            [\n              -106.622314453125,\n              39.78321267821705\n            ],\n            [\n              -107.13317871093749,\n              39.65222681530652\n            ],\n            [\n              -105.58959960937499,\n              38.12159327165922\n            ],\n            [\n              -105.3369140625,\n              37.85316995894978\n            ],\n            [\n              -105.4852294921875,\n              37.592471511019085\n            ],\n            [\n              -105.2105712890625,\n              37.61858263247881\n            ],\n            [\n              -105.018310546875,\n              37.405073750176925\n            ],\n            [\n              -105.16113281249999,\n              37.03325468997236\n            ],\n            [\n              -102.041015625,\n              36.99816565700228\n            ],\n            [\n              -102.06298828125,\n              38.62545397209084\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":201152,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":795266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmberg, Michael J. 0000-0002-1316-0412 mholmber@usgs.gov","orcid":"https://orcid.org/0000-0002-1316-0412","contributorId":190084,"corporation":false,"usgs":true,"family":"Holmberg","given":"Michael","email":"mholmber@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":795267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kisfalusi, Zachary D. 0000-0001-6016-3213","orcid":"https://orcid.org/0000-0001-6016-3213","contributorId":222422,"corporation":false,"usgs":true,"family":"Kisfalusi","given":"Zachary","email":"","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":795268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228354,"text":"70228354 - 2020 - Comparing environmental flow implementation options with structured decision making: Case study from the Willamette River, Oregon","interactions":[],"lastModifiedDate":"2022-02-09T20:59:03.745231","indexId":"70228354","displayToPublicDate":"2020-04-23T14:46:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Comparing environmental flow implementation options with structured decision making: Case study from the Willamette River, Oregon","docAbstract":"Many frameworks have been used to identify environmental flows for sustaining river ecosystems or specific taxa in the face of widespread flow alteration for human use. However, these methods mostly focus on identifying suitable flows and largely ignore the important links between management actions, resulting flows, flow variability, and ecosystem or social responses. Structured decision making (SDM) could assist the comparison and implementation of environmental flows by providing a framework to compare effects of flow management actions on objectives via environmental flow science. We describe the SDM process and illustrate its application using a case study focused on comparing environmental flow scenarios for the mainstem Willamette River, Oregon, USA. In a short timeframe, SDM was successfully applied to identify management objectives, develop empirical and expert opinion based models predicting ecological responses, and compare scenarios while accounting for uncertainty and partial controllability. We found that no flow scenario was clearly preferred based on available knowledge, largely because river flows could only be partially controlled through available dam operations. Participants agreed that the SDM process was useful and that an additional iteration focused on refining predictive models and incorporating additional objectives could help better inform dam release decisions for the entire basin. In our view, SDM can provide managers with more realistic comparisons of environmental flows by accounting for partial controllability and uncertainty, which may result in greater implementation of available flow management actions.","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12845","usgsCitation":"DeWeber, J., and Peterson, J., 2020, Comparing environmental flow implementation options with structured decision making: Case study from the Willamette River, Oregon: Journal of the American Water Resources Association, v. 56, no. 4, p. 599-614, https://doi.org/10.1111/1752-1688.12845.","productDescription":"16 p.","startPage":"599","endPage":"614","ipdsId":"IP-098527","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.255615234375,\n              43.23719944365308\n            ],\n            [\n              -123.255615234375,\n              45.62940492064501\n            ],\n            [\n              -121.7449951171875,\n              45.62940492064501\n            ],\n            [\n              -121.7449951171875,\n              43.23719944365308\n            ],\n            [\n              -123.255615234375,\n              43.23719944365308\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"DeWeber, J. Tyrell","contributorId":275279,"corporation":false,"usgs":false,"family":"DeWeber","given":"J. Tyrell","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":833919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833918,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215561,"text":"70215561 - 2020 - Climate change causes river network contraction and disconnection in the H.J. Andrews Experimental Forest, Oregon, USA","interactions":[],"lastModifiedDate":"2020-10-23T13:58:50.631328","indexId":"70215561","displayToPublicDate":"2020-04-23T08:55:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"Climate change causes river network contraction and disconnection in the H.J. Andrews Experimental Forest, Oregon, USA","docAbstract":"<div class=\"JournalAbstract\"><p>Headwater streams account for more than 89% of global river networks and provide numerous ecosystem services that benefit downstream ecosystems and human water uses. It has been established that changes in climate have shifted the timing and magnitude of observed precipitation, which, at specific gages, have been directly linked to long-term reductions in large river discharge. However, climate impacts on ungaged headwater streams, where ecosystem function is tightly coupled to flow permanence along the river corridor, remain unknown due to the lack of data sets and ability to model and predict flow permanence. We analyzed a network of 10 gages with 38–69 years of records across a 5th-order river basin in the U.S. Pacific Northwest, finding increasing frequency of lower low-flow conditions across the basin. Next, we simulated river network expansion and contraction for a 65-year period of record, revealing 24% and 9% declines in flowing and contiguous network length, respectively, during the driest months of the year. This study is the first to mechanistically simulate network expansion and contraction at the scale of a large river basin, informing if and how climate change is altering connectivity along river networks. While the heuristic model presented here yields basin-specific conclusions, this approach is generalizable and transferable to the study of other large river basins. Finally, we interpret our model results in the context of regulations based on flow permanence, demonstrating the complications of static regulatory definitions in the face of non-stationary climate.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/frwa.2020.00007","usgsCitation":"Ward, A.S., Wondzell, S.M., Schmadel, N., and Herzog, S.P., 2020, Climate change causes river network contraction and disconnection in the H.J. Andrews Experimental Forest, Oregon, USA: Frontiers in Water, v. 2, 7, 10 p., https://doi.org/10.3389/frwa.2020.00007.","productDescription":"7, 10 p.","ipdsId":"IP-117129","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":456972,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2020.00007","text":"Publisher Index Page"},{"id":379688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"H.J. Andrews Experimental Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.45635986328124,\n              44.07377376789347\n            ],\n            [\n              -121.8218994140625,\n              44.07377376789347\n            ],\n            [\n              -121.8218994140625,\n              44.439663223436106\n            ],\n            [\n              -122.45635986328124,\n              44.439663223436106\n            ],\n            [\n              -122.45635986328124,\n              44.07377376789347\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2020-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ward, Adam S","contributorId":191363,"corporation":false,"usgs":false,"family":"Ward","given":"Adam","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":802736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wondzell, Steven M","contributorId":243617,"corporation":false,"usgs":false,"family":"Wondzell","given":"Steven","email":"","middleInitial":"M","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":802737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmadel, Noah 0000-0002-2046-1694","orcid":"https://orcid.org/0000-0002-2046-1694","contributorId":219105,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":802738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herzog, Skuyler P","contributorId":243618,"corporation":false,"usgs":false,"family":"Herzog","given":"Skuyler","email":"","middleInitial":"P","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":802739,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209726,"text":"fs20203025 - 2020 - Groundwater quality in the Redding–Red Bluff shallow aquifer study unit of the northern Sacramento Valley, California","interactions":[],"lastModifiedDate":"2020-10-16T16:35:55.018658","indexId":"fs20203025","displayToPublicDate":"2020-04-23T07:35:40","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3025","displayTitle":"Groundwater Quality in the Redding–Red Bluff Shallow Aquifer Study Unit of the Northern Sacramento Valley, California","title":"Groundwater quality in the Redding–Red Bluff shallow aquifer study unit of the northern Sacramento Valley, California","docAbstract":"<p><span>Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and increases public access to groundwater-quality information. Private domestic and small system drinking water wells in the Redding–Red Bluff study unit primarily draw from shallow aquifers which are the target for this assessment.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203025","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Harkness, J.S., and Shelton, J.L., 2020, Groundwater quality in the Redding–Red Bluff shallow aquifer study unit of the northern Sacramento Valley, California: U.S. Geological Survey Fact Sheet 2020–3025, 4 p., https://doi.org/10.3133/fs20203025.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-114766","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":437016,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZKAH3O","text":"USGS data release","linkHelpText":"Groundwater-quality Data in the Redding-Red Bluff Shallow Aquifer Study Unit, 2018-2019: Results from the California GAMA Priority Basin Project"},{"id":374207,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3025/fs20203025.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":374206,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3025/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern Sacramento Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.882080078125,\n              39.70296052957233\n            ],\n            [\n              -121.58569335937501,\n              39.70296052957233\n            ],\n            [\n              -121.58569335937501,\n              40.97575093157534\n            ],\n            [\n              -122.882080078125,\n              40.97575093157534\n            ],\n            [\n              -122.882080078125,\n              39.70296052957233\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://ca.water.usgs.gov/gama\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov/gama\">GAMA Project Chief</a><br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov/\">California Water Science Center</a><br><a data-mce-href=\"https://usgs.gov\" href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, CA 95819<br>Telephone number: (916) 278-3000</p><p><a href=\"https://www.waterboards.ca.gov/gama\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.waterboards.ca.gov/gama\">GAMA Program Unit Chief</a><br>State Water Resources Control Board<br>Division of Water Quality<br>PO Box 2231, Sacramento, CA 95812<br>Telephone number: (916) 341-5855</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-04-23","noUsgsAuthors":false,"publicationDate":"2020-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Harkness, Jennifer S. 0000-0001-9050-2570 jharkness@usgs.gov","orcid":"https://orcid.org/0000-0001-9050-2570","contributorId":224299,"corporation":false,"usgs":true,"family":"Harkness","given":"Jennifer","email":"jharkness@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787687,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209731,"text":"70209731 - 2020 - Mitigating land subsidence in the Coachella Valley, California, USA: An emerging success story","interactions":[],"lastModifiedDate":"2020-04-23T15:30:09.031759","indexId":"70209731","displayToPublicDate":"2020-04-22T10:23:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5272,"text":"Proceedings of the International Association of Hydrological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Mitigating land subsidence in the Coachella Valley, California, USA: An emerging success story","docAbstract":"<p><span>Groundwater has been a major source of agricultural, municipal, and domestic water supply since the early 1920s in the Coachella Valley, California, USA. Land subsidence, resulting from aquifer-system compaction and groundwater-level declines, has been a concern of the Coachella Valley Water District (CVWD) since the mid-1990s. As a result, the CVWD has implemented several projects to address groundwater overdraft that fall under three categories – groundwater substitution, conservation, and managed aquifer-recharge (MAR). The implementation of three projects in particular – replacing groundwater extraction with surface water from the Colorado River and recycled water (Mid-Valley Pipeline project), reducing water usage by tiered-rate costs, and increasing groundwater recharge at the Thomas E. Levy Groundwater Replenishment Facility – are potentially linked to markedly improved groundwater levels and subsidence conditions, including in some of the historically most overdrafted areas in the southern Coachella Valley. Groundwater-level and subsidence monitoring have tracked the effect these projects have had on the aquifer system. Prior to about 2010, water levels persistently declined, and some had reached historically low levels by 2010. Since about 2010, however, groundwater levels have stabilized or partially recovered, and subsidence has stopped or slowed substantially almost everywhere it previously had been observed; uplift was observed in some areas. Furthermore, results of Interferometric Synthetic Aperture Radar analyses for 1995–2017 indicate that as much as about 0.6 m of subsidence occurred; nearly all of which occurred prior to 2010. Continued monitoring of water levels and subsidence is necessary to inform the CVWD about future mitigation measures. The water management strategies implemented by the CVWD can inform managers of other overdrafted and subsidence-prone basins as they seek solutions to reduce overdraft and subsidence.</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/piahs-382-809-2020","collaboration":"","usgsCitation":"Sneed, M., and Brandt, J.T., 2020, Mitigating land subsidence in the Coachella Valley, California, USA: An emerging success story: Proceedings of the International Association of Hydrological Sciences, v. 382, p. 809-813, https://doi.org/10.5194/piahs-382-809-2020.","productDescription":"5 p.","startPage":"809","endPage":"813","ipdsId":"IP-111082","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":456979,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-382-809-2020","text":"Publisher Index Page"},{"id":374224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coachella Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.37954711914062,\n              33.53223722395908\n            ],\n            [\n              -116.02523803710938,\n              33.53223722395908\n            ],\n            [\n              -116.02523803710938,\n              33.82023008524739\n            ],\n            [\n              -116.37954711914062,\n              33.82023008524739\n            ],\n            [\n              -116.37954711914062,\n              33.53223722395908\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"382","noUsgsAuthors":false,"publicationDate":"2020-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Justin T. 0000-0002-9397-6824 jbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":157,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"jbrandt@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787697,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211500,"text":"70211500 - 2020 - Carbon sources in the sediments of a restoring vs. historically unaltered salt marsh","interactions":[],"lastModifiedDate":"2020-07-29T14:54:52.589832","indexId":"70211500","displayToPublicDate":"2020-04-22T09:48:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Carbon sources in the sediments of a restoring vs. historically unaltered salt marsh","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Salt marshes provide the important ecosystem service of carbon storage in their sediments; however, little is known about the sources of such carbon and whether they differ between historically unaltered and restoring systems. In this study, stable isotope analysis was used to quantify carbon sources in a restoring, sparsely vegetated marsh (Restoring) and an adjacent, historically unaltered marsh (Reference) in the Nisqually River Delta (NRD) of Washington, USA. Three sediment cores were collected at “Inland” and “Seaward” locations at both marshes ~ 6&nbsp;years after restoration. Benthic diatoms, C3 plants, C4 plants, and particulate organic matter (POM) were collected throughout the NRD. δ<sup>13</sup>C and δ<sup>15</sup>N values of sources and sediments were used in a Bayesian stable isotope mixing model to determine the contribution of each carbon source to the sediments of both marshes. Autochthonous marsh C3 plants contributed 73 ± 10% (98&nbsp;g C m<sup>−2</sup>&nbsp;year<sup>−1</sup>) and 89 ± 11% (119&nbsp;g C m<sup>−2</sup>&nbsp;year<sup>−1</sup>) to Reference-Inland and Reference-Seaward sediment carbon sinks, respectively. In contrast, the sediment carbon sink at the Restoring Marsh received a broad assortment of predominantly allochthonous materials, which varied in relative contribution based on source distance and abundance. Marsh POM contributed the most to Restoring-Seaward (42 ± 34%) (69&nbsp;g C m<sup>−2</sup>&nbsp;year<sup>−1</sup>) followed by Riverine POM at Restoring-Inland (32 ± 41%) (52&nbsp;g C m<sup>−2</sup>&nbsp;year<sup>−1</sup>). Overall, this study demonstrates that largely unvegetated, restoring marshes can accumulate carbon by relying predominantly on allochthonous material, which comes mainly from the most abundant and closest estuarine sources.</p></div></div><div id=\"Sec1-section\" class=\"c-article-section\"><br></div><p>ces.</p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-020-00748-7","usgsCitation":"Drexler, J.Z., Davis, M.J., Woo, I., and De La Cruz, S.E., 2020, Carbon sources in the sediments of a restoring vs. historically unaltered salt marsh: Estuaries and Coasts, v. 43, p. 1345-1360, https://doi.org/10.1007/s12237-020-00748-7.","productDescription":"16 p.","startPage":"1345","endPage":"1360","ipdsId":"IP-109595","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":456984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-020-00748-7","text":"Publisher Index Page"},{"id":376842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.3819580078125,\n              46.68713141244413\n            ],\n            [\n              -122.0855712890625,\n              46.68713141244413\n            ],\n            [\n              -122.0855712890625,\n              47.51349065484327\n            ],\n            [\n              -123.3819580078125,\n              47.51349065484327\n            ],\n            [\n              -123.3819580078125,\n              46.68713141244413\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","noUsgsAuthors":false,"publicationDate":"2020-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Melanie J. 0000-0003-1734-7177","orcid":"https://orcid.org/0000-0003-1734-7177","contributorId":202773,"corporation":false,"usgs":true,"family":"Davis","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":794370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":794371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864 sdelacruz@usgs.gov","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":3248,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":794372,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209787,"text":"70209787 - 2020 - Detection and measurement of land subsidence and uplift using interferometric synthetic aperture radar, San Diego, California, USA, 2016–2018","interactions":[],"lastModifiedDate":"2020-04-29T13:17:26.480601","indexId":"70209787","displayToPublicDate":"2020-04-22T08:16:45","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Detection and measurement of land subsidence and uplift using interferometric synthetic aperture radar, San Diego, California, USA, 2016–2018","docAbstract":"Land subsidence associated with groundwater-level declines is stipulated as an “undesirable effect” in California’s Sustainable Groundwater Management Act (SGMA), and has been identified as a potential issue in San Diego, California, USA. The United States Geological Survey (USGS), the Sweetwater Authority, and the City of San Diego, undertook a cooperative study to better understand the hydromechanical response of the coastal aquifer system using Interferometric Synthetic Aperture Radar (InSAR) techniques. Three periods of interest were analyzed for this study that correspond to the periods before and after two substantial changes were made to the location and volume of pumpage: (1) April–August 2016 when groundwater levels and land surface elevation were relatively stable during normal pumping, (2) September 2016–May 2017 when groundwater levels recovered and the land surface uplifted during a period of substantially reduced pumping, (3) June 2017–October 2018 when groundwater levels declined and land subsidence occurred when pumpage resumed and expanded to new wells. Spatial and temporal characterization of the hydromechanical response to changes in pumpage is important for managing land subsidence. Further study using InSAR techniques, especially when combined with ground-based geodetic and monitoring-well networks, will provide water managers information to help effectively manage groundwater resources as stipulated in the SGMA.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the International Association of Hydrological Sciences","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Copernicus Publications","doi":"10.5194/piahs-382-45-2020","collaboration":"City of San Diego, Sweetwater Authority","usgsCitation":"Brandt, J.T., Sneed, M., and Danskin, W.R., 2020, Detection and measurement of land subsidence and uplift using interferometric synthetic aperture radar, San Diego, California, USA, 2016–2018, <i>in</i> Proceedings of the International Association of Hydrological Sciences, v. 382, p. 45-49, https://doi.org/10.5194/piahs-382-45-2020.","productDescription":"5 p.","startPage":"45","endPage":"49","ipdsId":"IP-111228","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":456989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-382-45-2020","text":"Publisher Index Page"},{"id":374348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Diego","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.28179931640626,\n              32.565333160841035\n            ],\n            [\n              -117.04284667968749,\n              32.565333160841035\n            ],\n            [\n              -117.04284667968749,\n              32.75840715084112\n            ],\n            [\n              -117.28179931640626,\n              32.75840715084112\n            ],\n            [\n              -117.28179931640626,\n              32.565333160841035\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"382","noUsgsAuthors":false,"publicationDate":"2020-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Brandt, Justin T. 0000-0002-9397-6824 jbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":157,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"jbrandt@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danskin, Wesley R. 0000-0001-8672-5501 wdanskin@usgs.gov","orcid":"https://orcid.org/0000-0001-8672-5501","contributorId":1034,"corporation":false,"usgs":true,"family":"Danskin","given":"Wesley","email":"wdanskin@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788016,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217223,"text":"70217223 - 2020 - The Missoula and Bonneville floods—A review of ice-age megafloods in the Columbia River basin","interactions":[],"lastModifiedDate":"2021-01-13T13:59:28.598323","indexId":"70217223","displayToPublicDate":"2020-04-22T07:51:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The Missoula and Bonneville floods—A review of ice-age megafloods in the Columbia River basin","docAbstract":"<p>The Channeled Scabland of eastern Washington State, USA, brought megafloods to the scientific forefront. A 30,000-km2 landscape of coulees and cataracts carved into the region’s loess-covered basalt attests to overwhelming volumes of energetic water. The scarred landscape, garnished by huge boulder bars and far-travelled ice-rafted erratics, spurred J Harlen Bretz’s vigorously disputed flood hypothesis in the 1920s. First known as the Spokane flood, it was rebranded the Missoula flood once understood that the water came from glacial Lake Missoula, formed when the Purcell Trench lobe of the last-glacial Cordilleran ice sheet dammed the Clark Fork valley in northwestern Idaho with ice a kilometer thick. Bretz’s flood evidence in the once-remote Channeled Scabland, widely seen and elaborated by the 1950s, eventually swayed consensus for cataclysmic flooding. Missoula flood questions then turned to some that continue today: how many? when? how big? what routes? what processes? </p><p>The Missoula floods passed through eastern Washington by a multitude of valleys, coulees and scabland tracts, some contemporaneously, some sequentially. Which routings and their timing depended on the positions of various lobes of the multi-pronged Cordilleran ice sheet and the erosional development of the channels themselves. The first floods mostly followed the big bend of Columbia valley looping through north-central Washington. But the south-advancing Okanogan ice lobe soon blocked that path, forming long-lasting glacial Lake Columbia in the impounded Columbia valley. Missoula floods into this lake were diverted south out of the Columbia valley and into eastern Washington coulees and scabland tracts. At least four floods entered Moses Coulee, but then as the Okanogan lobe advanced over and blocked the head of that coulee, more eastern paths took the water, including Grand Coulee and the Telford-Crab-Creek and Cheney-Palouse scabland tracts. Flood routing also depended on the erosion of the coulees. At some point, headward erosion of upper Grand Coulee lowered the divide saddle between the west-running Columbia valley and the deep and wide Grand Coulee heading southwest. Still uncertain is when this happened and the consequences with respect to the stage and extent of glacial Lake Columbia and to flood access to the other, higher, flood routes. Downstream, all flood routes converged onto Pasco Basin, flowed through Wallula Gap and the Columbia River Gorge into the Pacific Ocean, following submarine canyons and depositing sediment layers on abyssal plains. </p><p>Stratigraphic studies indicate dozens—likely more than a hundred—separate Missoula floods during the last glacial period. Over the length of the flood route, backwater areas and depositional basins preserve multiple flood beds, many of which are separated by signs of time, including volcanic ash layers and soil development in subaerial environments; and varve-like beds and pelagic mud layers in lacustrine and marine settings. Evidence also comes from the glacial Lake Missoula basin, where stratigraphy indicates dozens of filling and emptying cycles. Varve counts in conjunction of radiocarbon dating and paleomagnetic secular variation show the repeated filling-and-release cycles of glacial Lake Missoula had intervals possibly as long as 100 years early in the lake’s history but diminished to just one or two years for the last few floods. This behavior accords with jökulhlaup-style floods released by subglacial drainage from a self-dumping ice-dammed lake. But not yet clear is whether such a mechanism applies to all the floods or if some emptied more cataclysmically as hypothesized by some. </p><p>Radiocarbon dating of sparse organic materials remains key to defining flood chronology but has been lately bolstered by analyses of terrestrial cosmogenic nuclides and optically stimulated luminescence. Varve counts and paleomagnetic secular variation studies help to define durations and intervals represented by sequences of flood beds. The ~16 ka Mount St. Helens Set S tephra is commonly interbedded within flood deposits, enabling correlation of deposits among sites. Tephra from the 13.7–13.4 ka eruption of Glacier Peak overlies all glacial Lake Missoula and Missoula flood deposits, defining an end time. Overall conclusions are that glacial Lake Missoula was extant and producing floods for at least 3–4 ky during 20–14 ka. At least ~75 floods preceded Mount St Helens Set S, followed by 30 or more after the tephra fall. Most floods entered glacial Lake Columbia, impounded by the Okanogan lobe, for 2–5 ky between about 18.5 and 15 ka. Glacial Lake Columbia outlived Lake Missoula by &gt;200–400 yr but may have been born later since at least one flood came down the Columbia valley before the Okanogan ice lobe blocked the Columbia valley at 18.5–18 ka. The maximum extent of the Okanogan and Purcell Trench lobes, many Missoula floods, substantial erosion of upper Grand Coulee, and the widespread tephra falls from Mount St. Helens eruptions all happened about 17–15 ka. People, in the area since 16.6–15.3 ka, almost certainly witnessed the last of the Missoula floods and later large floods from other ice-dammed lakes in the Columbia River basin. </p><p>Quantitative flow analyses give peak discharge estimates and support understanding of erosional and depositional processes. The first flow assessments were simple cross-section calculations but recent assessments employ two-dimensional hydrodynamic models. The general finding is that emplacement of the maximum stage evidence requires about 20 million m3/s near the Lake Missoula outlet and about 5–15 million m3/s through Wallula Gap and downstream in the Columbia River Gorge. These hydraulic analyses raise still-unresolved questions regarding canyon erosion and possible additional water sources. </p><p>The large Pleistocene Bonneville flood entered the Columbia River system from the southeast from pluvial Lake Bonneville, the Pleistocene predecessor to Great Salt Lake in the eastern Great Basin. During the last glacial, the lake basin filled, covering &gt;50,000 km2 with 10,400 km3 of water before reaching its maximum possible stage governed by Red Rock Pass, the lowest divide separating the basin from the Snake River basin to the north. The overtopping lake rapidly incised 108–125 m into the Red Rock Pass outlet, spilling half of its total lake volume. G.K. Gilbert described the essential sequence in the 1870s, but the flood was mostly forgotten until the late 1950s when Harold Malde linked the spectacular scabland topography and bouldery “melon gravel” on the Snake River Plain to the Lake Bonneville overflow. The Bonneville flood appears to have been a singular event at about 18 ka. No evidence of multiple or pre-last-glacial spillovers has yet been found. Its total volume was about twice that of a maximum Lake Missoula flood yet its peak discharge was ~1 million m3/s, less than a tenth of the largest Missoula floods. Its comparatively simple flow path and much steadier flow make the Bonneville flood ideal for new studies of erosional and depositional processes. </p><p>At least two floods seem to have passed down the Columbia valley after the last of the Missoula floods, including a large flood about ~14 ka likely from cataclysmic demise of the thinning Okanogan ice lobe dam impounding glacial Lake Columbia. Floods from earlier glacial ages left scant yet clear evidence in the Channeled Scabland and Columbia valley. But their source, timing, and magnitudes are little understood. Some deposits are paleomagnetically reversed, thus older than ~800 ka. Last-glacial floods and perhaps older ones affected the Snake River Plain, some likely sourced in lakes dammed by alpine glaciers in central Idaho.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2020.103181","usgsCitation":"O'Connor, J., Baker, V.R., Waitt, R.B., Smith, L.N., Cannon, C.M., George, D.L., and Denlinger, R.P., 2020, The Missoula and Bonneville floods—A review of ice-age megafloods in the Columbia River basin: Earth-Science Reviews, v. 208, 103181, 51 p., https://doi.org/10.1016/j.earscirev.2020.103181.","productDescription":"103181, 51 p.","ipdsId":"IP-117652","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456992,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://archimer.ifremer.fr/doc/00624/73634/","text":"External Repository"},{"id":382128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.76171875,\n              45.73685954736049\n            ],\n            [\n              -116.4111328125,\n              45.73685954736049\n            ],\n            [\n              -116.4111328125,\n              48.31242790407178\n            ],\n            [\n              -120.76171875,\n              48.31242790407178\n            ],\n            [\n              -120.76171875,\n              45.73685954736049\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"208","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":808089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Victor R.","contributorId":201141,"corporation":false,"usgs":false,"family":"Baker","given":"Victor","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":808090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":808091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Larry N","contributorId":247679,"corporation":false,"usgs":false,"family":"Smith","given":"Larry","email":"","middleInitial":"N","affiliations":[{"id":49605,"text":"Montana Technological University","active":true,"usgs":false}],"preferred":false,"id":808092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cannon, Charles M. 0000-0003-4136-2350 ccannon@usgs.gov","orcid":"https://orcid.org/0000-0003-4136-2350","contributorId":247680,"corporation":false,"usgs":true,"family":"Cannon","given":"Charles","email":"ccannon@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":808093,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":808094,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":808095,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209671,"text":"ofr20201023 - 2020 - Design and methods of the California stream quality assessment (CSQA), 2017","interactions":[],"lastModifiedDate":"2020-04-27T12:01:20.795249","indexId":"ofr20201023","displayToPublicDate":"2020-04-21T14:01:19","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1023","displayTitle":"Design and Methods of the California Stream Quality Assessment (CSQA), 2017","title":"Design and methods of the California stream quality assessment (CSQA), 2017","docAbstract":"<p>During 2017, as part of the National Water-Quality Assessment Project, the U.S. Geological Survey conducted the California Stream Quality Assessment to investigate the quality of streams in the Central California Foothills and Coastal Mountains ecoregion, United States. The goal of the California Stream Quality Assessment study was to assess the health of wadeable streams in the region by characterizing multiple water-quality factors that are stressors to aquatic biota and by evaluating the relation between these stressors and biological indicators of stream health. Urbanization, agriculture, and modifications to streamflow are anthropogenic changes that affect water quality in the region; consequently, the study design primarily targeted sites and specific stressors associated with these activities. For the study, 85 stream sites were selected to represent the types and intensity of land use in the watershed; categories of site types were undeveloped, urban (low, medium, high), agriculture (low, high), and mixed (urban and agriculture). Most sites (about 70 percent) represent a gradient of urbanization from undeveloped to 99-percent urbanized. At most of the sites, streamgages or pressure transducers were used to monitor stream discharge and stage, as well as temperature. Water-quality samples were collected routinely at all sites and were analyzed for major ions, organic contaminants, nutrients, and suspended sediment. Sampling frequency varied on the basis of site type and location. Discrete water samples were collected weekly and generally 6 times per site, except for 11 undeveloped sites that were sampled only 4 times (during the last 4 weeks). Water sampling began at sites in the southern part of the study on March 13, 2017, and at sites in the northern part of the study on April 3, 2017. Passive samplers were deployed at most sites for measurement of polar organic contaminants (pesticides and pharmaceuticals). In May 2017, coincident with completion of water-quality sampling, an ecological survey was conducted at each site to assess benthic algal and macroinvertebrate communities and instream habitat. During the ecological surveys, a single composite streambed-sediment sample was collected for chemical analysis and toxicity testing. In addition, a few focused studies were done at subsets of sites, namely, measuring pesticides using small-volume automated samplers, measuring pesticides in biofilms, and sampling suspended sediments using passive samplers. This report describes the various study components and methods of the California Stream Quality Assessment, including measurements of water quality, sediment chemistry, habitat assessments, and ecological surveys, as well as procedures for sample analysis, quality assurance and quality control, and data management.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201023","collaboration":"National Water Quality Program","usgsCitation":"May, J.T., Nowell, L.H., Coles, J.F., Button, D.T., Bell, A.H., Qi, S.L., and Van Metre, P.C., 2020, Design and methods of the California stream quality assessment, 2017: U.S. Geological Survey Open-File Report 2020–1023, 88 p.,","productDescription":"Report: x, 88 p.; 1 Table","numberOfPages":"88","onlineOnly":"Y","ipdsId":"IP-105445","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":374128,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1023/ofr20201023.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":374127,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1023/coverthb.jpg"},{"id":374197,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2020/1023/ofr20201023_app_table_1.1.xlsx","text":"Table 1.1","size":"30 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":" - Sampling matrix for the 85 sites used in the U.S. Geological Survey California Stream Quality Assessment in 2017."}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.34423828125,\n              34.50655662164561\n            ],\n            [\n              -119.267578125,\n              34.95799531086792\n            ],\n            [\n              -121.4208984375,\n              37.78808138412046\n            ],\n            [\n              -122.10205078125,\n              39.14710270770074\n            ],\n            [\n              -122.25585937500001,\n              39.41922073655956\n            ],\n            [\n              -123.48632812499999,\n              38.85682013474361\n            ],\n            [\n              -122.67333984374999,\n              37.87485339352928\n            ],\n            [\n              -122.05810546875,\n              37.055177106660814\n            ],\n            [\n              -121.79443359375,\n              36.65079252503471\n            ],\n            [\n              -121.9482421875,\n              36.61552763134925\n            ],\n            [\n              -121.83837890625,\n              36.155617833818525\n            ],\n            [\n              -121.26708984374999,\n              35.585851593232356\n            ],\n            [\n              -120.58593749999999,\n              35.04798673426734\n            ],\n            [\n              -120.5419921875,\n              34.488447837809304\n            ],\n            [\n              -120.34423828125,\n              34.50655662164561\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-04-21","noUsgsAuthors":false,"publicationDate":"2020-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":184174,"corporation":false,"usgs":true,"family":"May","given":"Jason T.","email":"jasonmay@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - 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Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":787467,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209777,"text":"70209777 - 2020 - Mapping perceived social values to support a respondent-defined restoration economy: Case study in southeastern Arizona, USA","interactions":[],"lastModifiedDate":"2020-04-30T13:31:57.437681","indexId":"70209777","displayToPublicDate":"2020-04-21T07:47:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":686,"text":"Air, Soil and Water Research","active":true,"publicationSubtype":{"id":10}},"title":"Mapping perceived social values to support a respondent-defined restoration economy: Case study in southeastern Arizona, USA","docAbstract":"Investment in conservation and ecological restoration depends on various socioeconomic factors and the social license for these activities. Our study demonstrates a method for targeting management of ecosystem services based on social values, identified by respondents through a collection of social survey data. We applied the Social Values for Ecosystem Services (SolVES) geographic information systems (GIS)-based tool in the Sonoita Creek watershed, Arizona, to map social values across the watershed. The survey focused on how respondents engage with the landscape, including through their ranking of 12 social values (eg, recreational, economic, or aesthetic value) and their placement of points on a map to identify their associations with the landscape. Additional information was elicited regarding how respondents engaged with water and various land uses, as well as their familiarity with restoration terminology. Results show how respondents perceive benefits from the natural environment. Specifically, maps of social values on the landscape show high social value along streamlines. Life-sustaining services, biological diversity, and aesthetics were the respondents’ highest rated social values. Land surrounding National Forest and private lands had lower values than conservation-based and state-owned areas, which we associate with landscape features. Results can inform watershed management by allowing managers to consider social values when prioritizing restoration or conservation investments.","language":"English","publisher":"SAGE Journals","doi":"10.1177/1178622120913318","collaboration":"","usgsCitation":"Petrakis, R., Norman, L., Lysaght, O., Sherrouse, B.C., Semmens, D.J., Bagstad, K.J., and Pritzlaff, R., 2020, Mapping perceived social values to support a respondent-defined restoration economy: Case study in southeastern Arizona, USA: Air, Soil and Water Research, v. 13, https://doi.org/10.1177/1178622120913318.","productDescription":"16 p.","startPage":"","ipdsId":"IP-112256","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":457002,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/1178622120913318","text":"Publisher Index Page"},{"id":437018,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98B4B1X","text":"USGS data release","linkHelpText":"Perceived Social Value of the Sonoita Creek Watershed using the Social Values for Ecosystem Services (SolVES) Tool, Arizona, U.S.A."},{"id":374311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.42333984375,\n              31.287939892641734\n            ],\n            [\n              -110.63232421875,\n              31.287939892641734\n            ],\n            [\n              -110.63232421875,\n              31.765537409484374\n            ],\n            [\n              -111.42333984375,\n              31.765537409484374\n    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,{"id":70209199,"text":"sim3455 - 2020 - Potentiometric surface and hydrologic conditions of the South Coast aquifer, Santa Isabel area, Puerto Rico, March–April, 2014","interactions":[],"lastModifiedDate":"2020-05-07T10:45:27.668534","indexId":"sim3455","displayToPublicDate":"2020-04-21T06:42:53","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3455","displayTitle":"Potentiometric Surface and Hydrologic Conditions of the South Coast Aquifer, Santa Isabel Area, Puerto Rico, March–April, 2014","title":"Potentiometric surface and hydrologic conditions of the South Coast aquifer, Santa Isabel area, Puerto Rico, March–April, 2014","docAbstract":"<p>A potentiometric surface map of the South Coast aquifer near Santa Isabel, Puerto Rico, was created from data collected during a synoptic survey of groundwater levels at 55 wells from March 31 to April 17, 2014. Measured groundwater level values ranged from −22.8 to 185.4 feet above mean sea level. During the study period, cumulative rainfall of 0.65 inch was recorded in the study area. Measurements of instantaneous streamflow at 15 locations in streams and irrigation canals, and locations of irrigation ponds, provide additional information about the hydrologic setting. Results of the study indicate a cone of depression was present near the center and eastern parts of the Santa Isabel area of southern Puerto Rico, and a small, deeper cone of depression existed west of Santa Isabel and Rio Coamo. These cones of depression represent areas where the potentiometric surface was below mean sea level. The long-term persistence of such conditions could result in seawater intrusion and an increase in concentrations of total dissolved solids within the South Coast aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3455","collaboration":"Prepared in cooperation with the Puerto Rico Department of Natural and Environmental Resources","usgsCitation":"Ramos, F.A., and Santiago, A.A., 2020, Potentiometric surface and hydrologic conditions of the South Coast aquifer, Santa Isabel area, Puerto Rico, March–April, 2014: U.S. Geological Survey Scientific Investigations Map 3455, 4 p., 1 sheet, https://doi.org/10.3133/sim3455.","productDescription":"Pamphlet: vi, 4 p.; Sheet: 35.68 inches x 28.17 inches; Data Release","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064406","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":374025,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NS0STQ","text":"USGS data release","linkHelpText":"Data and shapefiles for the potentiometric surface of the South Coast aquifer and hydrologic conditions in the Santa Isabel area, Puerto Rico, March–April 2014"},{"id":374019,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3455/coverthb.jpg"},{"id":374021,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3455/sim3455.pdf","text":"Pamphlet","size":"350 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3455 Pamphlet"},{"id":374022,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3455/sim3455_sheet.pdf","text":"Sheet 1—","size":"4.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3455 Sheet","linkHelpText":"Potentiometric Surface and Hydrologic Conditions of the South Coast Aquifer, Santa Isabel Area, Puerto Rico, March–April, 2014"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Santa Isabel Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.4779281616211,\n              17.932682319509986\n            ],\n            [\n              -66.29854202270508,\n              17.932682319509986\n            ],\n            [\n              -66.29854202270508,\n              18.029995361346103\n            ],\n            [\n              -66.4779281616211,\n              18.029995361346103\n            ],\n            [\n              -66.4779281616211,\n              17.932682319509986\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\" href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\">Caribbean-Florida Water Science Center</a> <br>U.S. Geological Survey <br>4446 Pet Lane, Suite 108 <br>Lutz, FL 33559</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Investigation</li><li>Hydrologic Conditions and the Estimated Potentiometric Surface</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-04-21","noUsgsAuthors":false,"publicationDate":"2020-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramos, Felix A. 0000-0002-0924-3231","orcid":"https://orcid.org/0000-0002-0924-3231","contributorId":223530,"corporation":false,"usgs":true,"family":"Ramos","given":"Felix","email":"","middleInitial":"A.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santiago, Alex A. 0000-0002-4067-8022","orcid":"https://orcid.org/0000-0002-4067-8022","contributorId":223531,"corporation":false,"usgs":false,"family":"Santiago","given":"Alex","email":"","middleInitial":"A.","affiliations":[{"id":38734,"text":"former employee","active":true,"usgs":false}],"preferred":false,"id":785358,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70210892,"text":"70210892 - 2020 - Near-field remote sensing of surface velocity and river discharge using radars and the probability concept at 10 USGS streamgages","interactions":[],"lastModifiedDate":"2020-07-01T16:49:47.431313","indexId":"70210892","displayToPublicDate":"2020-04-20T11:18:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Near-field remote sensing of surface velocity and river discharge using radars and the probability concept at 10 USGS streamgages","docAbstract":"<p><span>Near-field remote sensing of surface velocity and river discharge (discharge) were measured using coherent, continuous wave Doppler and pulsed radars. Traditional streamgaging requires sensors be deployed in the water column; however, near-field remote sensing has the potential to transform streamgaging operations through non-contact methods in the U.S. Geological Survey (USGS) and other agencies around the world. To differentiate from satellite or high-altitude platforms, near-field remote sensing is conducted from fixed platforms such as bridges and cable stays. Radar gages were collocated with 10 USGS streamgages in river reaches of varying hydrologic and hydraulic characteristics, where basin size ranged from 381 to 66,200 square kilometers. Radar-derived mean-channel (mean) velocity and discharge were computed using the probability concept and were compared to conventional instantaneous measurements and time series. To test the efficacy of near-field methods, radars were deployed for extended periods of time to capture a range of hydraulic conditions and environmental factors. During the operational phase, continuous time series of surface velocity, radar-derived discharge, and stage-discharge were recorded, computed, and transmitted contemporaneously and continuously in real time every 5 to 15 min. Minimum and maximum surface velocities ranged from 0.30 to 3.84 m per second (m/s); minimum and maximum radar-derived discharges ranged from 0.17 to 4890 cubic meters per second (m</span><sup>3</sup><span>/s); and minimum and maximum stage-discharge ranged from 0.12 to 4950 m</span><sup>3</sup><span>/s. Comparisons between radar and stage-discharge time series were evaluated using goodness-of-fit statistics, which provided a measure of the utility of the probability concept to compute discharge from a singular surface velocity and cross-sectional area relative to conventional methods. Mean velocity and discharge data indicate that velocity radars are highly correlated with conventional methods and are a viable near-field remote sensing technology that can be operationalized to deliver real-time surface velocity, mean velocity, and discharge.&nbsp;</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs12081296","usgsCitation":"Fulton, J.W., Mason, C.A., Eggleston, J., Nicotra, M.J., Chiu, C., Henneberg, M.F., Best, H., Cederberg, J., Holnbeck, S.R., Lotspeich, R.R., Laveau, C., Moramarco, T., Jones, M.E., Gourley, J.J., and Wasielewski, D., 2020, Near-field remote sensing of surface velocity and river discharge using radars and the probability concept at 10 USGS streamgages: Remote Sensing, v. 12, no. 8, 1296, 28 p., https://doi.org/10.3390/rs12081296.","productDescription":"1296, 28 p.","ipdsId":"IP-116229","costCenters":[{"id":191,"text":"Colorado Water Science 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0000-0002-6991-1211 mfhenneb@usgs.gov","orcid":"https://orcid.org/0000-0002-6991-1211","contributorId":187481,"corporation":false,"usgs":true,"family":"Henneberg","given":"Mark","email":"mfhenneb@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791970,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Best, Heather 0000-0003-0764-3060","orcid":"https://orcid.org/0000-0003-0764-3060","contributorId":225684,"corporation":false,"usgs":true,"family":"Best","given":"Heather","email":"","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":791971,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cederberg, Jay 0000-0001-6649-7353","orcid":"https://orcid.org/0000-0001-6649-7353","contributorId":219724,"corporation":false,"usgs":true,"family":"Cederberg","given":"Jay","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791972,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holnbeck, Stephen R. 0000-0001-7313-9298","orcid":"https://orcid.org/0000-0001-7313-9298","contributorId":225685,"corporation":false,"usgs":true,"family":"Holnbeck","given":"Stephen","email":"","middleInitial":"R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791973,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lotspeich, R. Russell 0000-0002-5572-9064 rlotspei@usgs.gov","orcid":"https://orcid.org/0000-0002-5572-9064","contributorId":3388,"corporation":false,"usgs":true,"family":"Lotspeich","given":"R.","email":"rlotspei@usgs.gov","middleInitial":"Russell","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":791974,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Laveau, Christopher 0000-0002-4009-1889","orcid":"https://orcid.org/0000-0002-4009-1889","contributorId":206046,"corporation":false,"usgs":true,"family":"Laveau","given":"Christopher","email":"","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791975,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moramarco, Tommaso 0000-0002-9870-1694","orcid":"https://orcid.org/0000-0002-9870-1694","contributorId":225686,"corporation":false,"usgs":false,"family":"Moramarco","given":"Tommaso","email":"","affiliations":[{"id":41180,"text":"IRPI-Consiglio Nazionale delle Ricerche","active":true,"usgs":false}],"preferred":false,"id":791976,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jones, Mark E. 0000-0002-9242-1528","orcid":"https://orcid.org/0000-0002-9242-1528","contributorId":225687,"corporation":false,"usgs":true,"family":"Jones","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791977,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gourley, Jonathan J 0000-0001-7363-3755","orcid":"https://orcid.org/0000-0001-7363-3755","contributorId":225540,"corporation":false,"usgs":false,"family":"Gourley","given":"Jonathan","email":"","middleInitial":"J","affiliations":[{"id":41158,"text":"NOAA/OAR/National Severe Storms Laboratory, Norman, OK, USA 73072","active":true,"usgs":false}],"preferred":false,"id":791978,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wasielewski, Danny","contributorId":225688,"corporation":false,"usgs":false,"family":"Wasielewski","given":"Danny","affiliations":[{"id":41181,"text":"NOAA National Severe Storms Laboratory","active":true,"usgs":false}],"preferred":false,"id":791979,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70210710,"text":"70210710 - 2020 - Acoustic Sediment Estimation Toolbox (ASET): A software package for calibrating and processing TRDI ADCP data to compute suspended-sediment transport in sandy rivers","interactions":[],"lastModifiedDate":"2020-06-18T14:36:43.859337","indexId":"70210710","displayToPublicDate":"2020-04-20T09:30:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic Sediment Estimation Toolbox (ASET): A software package for calibrating and processing TRDI ADCP data to compute suspended-sediment transport in sandy rivers","docAbstract":"Quantifying suspended-sediment transport is critical for a variety of disciplines related to the management of water resources. However, the number of gauging stations and monitoring networks in most rivers around the world is insufficient to improve understanding of river dynamics and support water resource management decisions. This is mainly due to the high operational costs and intensive labor involved in traditional sediment measurement techniques, especially in sand bed rivers where coarse material varies spatially in the river cross section. Recently, the acoustic surrogate method has received attention as a potentially accurate surrogate technology for estimating suspended-sediment concentrations. In addition, the acoustic surrogate method, through use of acoustic Doppler current profilers (ADCPs), has the advantage of being able to simultaneously measure the flow velocity field and cross-sectional area when moving-boat measurements are performed. In spite of the important advances made in the implementation of this technique, there are no widely-available, free tools for processing the ADCP acoustic signal cross section measurements which include options to extrapolate velocity and sediment in unmeasured ADCP zones and develop calibrations with physical samples. This paper presents a new software called Acoustic Sediment Estimation Toolbox (ASET), which enables the user to develop a calibration between the acoustic signal collected with a down-looking Teledyne RD Instruments ADCP and sediment concentrations determined using traditional sediment sampling techniques. Moreover, ASET software uses dynamic ADCP measurements to estimate the total suspended-sediment transport through a river cross section. The theoretical framework and data processing routines applied by each module in ASET are presented. Finally, a comparison is made between the results obtained by ASET and by traditional methodologies for computing suspended-sediment transport in a large river system (Paraná River, Argentina).","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2020.104499","usgsCitation":"Dominguez Ruben, L.G., Szupiany, R., Latosinski, F., Lopez Weibel, C., Wood, M.S., and Boldt, J.A., 2020, Acoustic Sediment Estimation Toolbox (ASET): A software package for calibrating and processing TRDI ADCP data to compute suspended-sediment transport in sandy rivers: Computers & Geosciences, v. 140, https://doi.org/10.1016/j.cageo.2020.104499.","productDescription":"104499, 13 p.","startPage":"Article 104499","ipdsId":"IP-102073","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":375680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-65.5,-55.2],[-66.45,-55.25],[-66.95992,-54.89681],[-67.56244,-54.87001],[-68.63335,-54.8695],[-68.63401,-52.63637],[-68.25,-53.1],[-67.75,-53.85],[-66.45,-54.45],[-65.05,-54.7],[-65.5,-55.2]]],[[[-64.96489,-22.07586],[-64.37702,-22.79809],[-63.98684,-21.99364],[-62.84647,-22.03499],[-62.68506,-22.24903],[-60.84656,-23.88071],[-60.02897,-24.0328],[-58.80713,-24.77146],[-57.77722,-25.16234],[-57.63366,-25.60366],[-58.61817,-27.12372],[-57.60976,-27.3959],[-56.4867,-27.5485],[-55.69585,-27.38784],[-54.78879,-26.62179],[-54.62529,-25.73926],[-54.13005,-25.54764],[-53.62835,-26.12487],[-53.64874,-26.92347],[-54.49073,-27.47476],[-55.16229,-27.88192],[-56.2909,-28.85276],[-57.62513,-30.21629],[-57.87494,-31.01656],[-58.14244,-32.0445],[-58.13265,-33.04057],[-58.34961,-33.26319],[-58.42707,-33.90945],[-58.49544,-34.43149],[-57.22583,-35.28803],[-57.36236,-35.97739],[-56.73749,-36.41313],[-56.78829,-36.90157],[-57.74916,-38.18387],[-59.23186,-38.72022],[-61.23745,-38.92842],[-62.33596,-38.82771],[-62.12576,-39.4241],[-62.33053,-40.17259],[-62.14599,-40.6769],[-62.7458,-41.02876],[-63.77049,-41.16679],[-64.73209,-40.80268],[-65.11804,-41.06431],[-64.97856,-42.058],[-64.30341,-42.35902],[-63.75595,-42.04369],[-63.45806,-42.56314],[-64.3788,-42.87356],[-65.1818,-43.49538],[-65.32882,-44.50137],[-65.56527,-45.03679],[-66.50997,-45.03963],[-67.29379,-45.5519],[-67.58055,-46.30177],[-66.59707,-47.03392],[-65.64103,-47.23613],[-65.98509,-48.13329],[-67.16618,-48.69734],[-67.81609,-49.86967],[-68.72875,-50.26422],[-69.13854,-50.73251],[-68.81556,-51.7711],[-68.14999,-52.34998],[-68.57155,-52.29944],[-69.49836,-52.14276],[-71.9148,-52.00902],[-72.3294,-51.42596],[-72.30997,-50.67701],[-72.97575,-50.74145],[-73.32805,-50.37879],[-73.41544,-49.31844],[-72.64825,-48.87862],[-72.33116,-48.24424],[-72.44736,-47.73853],[-71.91726,-46.88484],[-71.55201,-45.56073],[-71.65932,-44.97369],[-71.22278,-44.78424],[-71.3298,-44.40752],[-71.79362,-44.20717],[-71.46406,-43.78761],[-71.91542,-43.40856],[-72.1489,-42.25489],[-71.7468,-42.05139],[-71.91573,-40.83234],[-71.68076,-39.80816],[-71.41352,-38.91602],[-70.81466,-38.553],[-71.11863,-37.57683],[-71.12188,-36.65812],[-70.36477,-36.00509],[-70.38805,-35.16969],[-69.81731,-34.19357],[-69.81478,-33.27389],[-70.0744,-33.09121],[-70.53507,-31.36501],[-69.91901,-30.33634],[-70.01355,-29.36792],[-69.65613,-28.45914],[-69.00123,-27.52121],[-68.29554,-26.89934],[-68.5948,-26.50691],[-68.386,-26.18502],[-68.41765,-24.51855],[-67.32844,-24.0253],[-66.98523,-22.98635],[-67.10667,-22.73592],[-66.27334,-21.83231],[-64.96489,-22.07586]]]]},\"properties\":{\"name\":\"Argentina\"}}]}","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dominguez Ruben, Lucas Gerardo","contributorId":225404,"corporation":false,"usgs":false,"family":"Dominguez Ruben","given":"Lucas","email":"","middleInitial":"Gerardo","affiliations":[{"id":41098,"text":"Littoral National University, Argentina","active":true,"usgs":false}],"preferred":false,"id":791058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szupiany, Ricardo","contributorId":225405,"corporation":false,"usgs":false,"family":"Szupiany","given":"Ricardo","affiliations":[{"id":41098,"text":"Littoral National University, Argentina","active":true,"usgs":false}],"preferred":false,"id":791059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Latosinski, Francisco","contributorId":225406,"corporation":false,"usgs":false,"family":"Latosinski","given":"Francisco","affiliations":[{"id":41099,"text":"National Scientific and Technical Research Council, Argentina","active":true,"usgs":false}],"preferred":false,"id":791060,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez Weibel, Cecilia","contributorId":225407,"corporation":false,"usgs":false,"family":"Lopez Weibel","given":"Cecilia","affiliations":[{"id":32938,"text":"Littoral National University","active":true,"usgs":false}],"preferred":false,"id":791061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface 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,{"id":70228074,"text":"70228074 - 2020 - Identifying candidate reference reaches to assess the physical and biological integrity of wadeable streams in different ecoregions and among stream sizes","interactions":[],"lastModifiedDate":"2022-02-16T14:39:39.755202","indexId":"70228074","displayToPublicDate":"2020-04-20T08:32:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Identifying candidate reference reaches to assess the physical and biological integrity of wadeable streams in different ecoregions and among stream sizes","docAbstract":"Efforts to quantify disturbances to aquatic systems often use landscape-level metrics, presumably linked to ecological integrity, but fewer studies have directly linked ecological integrity to instream habitat, and applied these results to unsampled stream reaches throughout a landscape. We developed a flexible, quantitative approach that characterizes stream impairment across a landscape and identifies least-disturbed stream reaches to serve as benchmarks for high quality physical habitat and ecological integrity. Fish and macroinvertebrate community characteristics, reach-level physical habitat and water quality metrics were summarized in 891 wadeable stream reaches across two ecoregions in Missouri, USA. The influence of reach and water-quality characteristics as well as landscape-level variables on 7 fish and 3 macroinvertebrate community biological indicator metrics was then modeled using boosted regression trees (BRTs).  On average, reach-level models explained more variance (25 and 27% in the two ecoregions examined) in biotic metrics than landscape-level models (18% and 20%). Abiotic and biotic associations differed among ecoregions and stream sizes, however, reach-level habitat (e.g., bankfull width/depth ratio, channel incision height) and water quality (e.g., dissolved oxygen, total chlorophyll) were consistently top predictors. At the landscape scale, fish richness in the agriculturally dominated ecoregion increased with decreased fragmentation/flow modification, while invertebrate metrics responded to agricultural disturbances. Invertebrate metrics in the forested ecoregion showed community degradation apparent with crop coverage as low as 8-10% of the riparian zone, while urban impairment was best detected using invertebrate indicators of biotic integrity and measures of fish trophic ecology. Relationships among landscape-scale variables and reach characteristics identified as top predictors in BRTs also highlighted potential mechanistic relationships among landscape, habitat, and measures of ecological integrity. Using the results of the landscape-level models, estimates for overall ecological integrity were predicted for over 28,000 stream reaches throughout Missouri, and a total of 1,423 candidate reference reaches were identified. The objective approach to characterizing stream impairment developed in this study offers specific advantages, including a reach and landscape-level evaluation of human disturbance as well as an inductive, multi-metric determination of ecological integrity.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.105966","usgsCitation":"Paukert, C.P., Kleeklamp, E.R., and Tingley, R.W., 2020, Identifying candidate reference reaches to assess the physical and biological integrity of wadeable streams in different ecoregions and among stream sizes: Ecological Indicators, v. 111, 105966, 15 p., https://doi.org/10.1016/j.ecolind.2019.105966.","productDescription":"105966, 15 p.","ipdsId":"IP-097233","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70222531,"text":"70222531 - 2020 - Hydrologically induced deformation in Long Valley Caldera and adjacent Sierra Nevada","interactions":[],"lastModifiedDate":"2021-08-03T12:45:57.564571","indexId":"70222531","displayToPublicDate":"2020-04-20T07:43:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologically induced deformation in Long Valley Caldera and adjacent Sierra Nevada","docAbstract":"<div class=\"article-section__content en main\"><p>Vertical and horizontal components of GNSS displacements in the Long Valley Caldera and adjacent Sierra Nevada range show a clear correlation with hydrological trends at both multiyear and seasonal time scales. We observe a clear vertical and horizontal seasonal deformation pattern primarily attributable to the solid earth response to hydrological surface loading at large-to-regional (Sierra Nevada range) scales. Several GNSS sites, located at the eastern edge of the Sierra Nevada along the southwestern rim of Long Valley Caldera, also show significant horizontal deformation that cannot be explained by elastic deformation from surface loading. Due to the location of these sites and the strong correlation between their horizontal displacements and spring discharge, we hypothesize that this deformation reflects poroelastic processes related to snowmelt runoff water infiltrating into the Sierra Nevada slopes around Long Valley Caldera. Interestingly, this is also an area where water infiltrates to feed the local hydrothermal system, and where snowmelt-induced earthquake swarms have been recently detected.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB019495","usgsCitation":"Silverii, F., Montgomery-Brown, E.K., Borsa, A., and Barbour, A.J., 2020, Hydrologically induced deformation in Long Valley Caldera and adjacent Sierra Nevada: Journal of Geophysical Research, v. 125, no. 5, e2020JB019495, 17 p., https://doi.org/10.1029/2020JB019495.","productDescription":"e2020JB019495, 17 p.","ipdsId":"IP-115383","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":457026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020jb019495","text":"Publisher Index Page"},{"id":387650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Long Valley Caldera, Sierra Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.61914062500001,\n              35.460669951495305\n            ],\n            [\n              -115.75195312500001,\n              35.460669951495305\n            ],\n            [\n              -115.75195312500001,\n              38.75408327579144\n            ],\n            [\n              -119.61914062500001,\n              38.75408327579144\n            ],\n            [\n              -119.61914062500001,\n              35.460669951495305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Silverii, Francesca","contributorId":261713,"corporation":false,"usgs":false,"family":"Silverii","given":"Francesca","email":"","affiliations":[{"id":39558,"text":"Scripps Inst. 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