{"pageNumber":"513","pageRowStart":"12800","pageSize":"25","recordCount":165415,"records":[{"id":70228968,"text":"70228968 - 2021 - Opinion: A preferred approach for dealing with reproducibility and replicability in science","interactions":[],"lastModifiedDate":"2022-02-25T16:31:51.423224","indexId":"70228968","displayToPublicDate":"2021-02-16T10:17:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Opinion: A preferred approach for dealing with reproducibility and replicability in science","docAbstract":"<p id=\"p-2\" class=\"flushleft\">Science impacts our daily lives and guides national and international policies (1). Thus, results of scientific studies are of paramount importance; yet, there are concerns that many studies are not reproducible or replicable (2). To address these concerns, the National Research Council conducted a Consensus Study [NASEM 2019 (3)] that provides definitions of key concepts, discussions of problems, and recommendations for dealing with these problems. These recommendations are useful and well considered, but they do not go far enough in our opinion. The NASEM recommendations treat reproducibility and replicability as single-study issues, despite clear acknowledgement of the limitations of isolated studies and the need for research synthesis (3). We advocate a strategic approach to research, focusing on the accumulation of evidence via designed sequences of studies, as a means of dealing more effectively with reproducibility, replicability, and related problems. These sequences are designed to provide iterative tests based on comparison of data from empirical studies with predictions from competing hypotheses. Evidence is then formally accumulated based on the relative predictive abilities of the different hypotheses as the sequential studies proceed.</p><div id=\"F1\" class=\"fig pos-float type-figure  odd\"><br></div>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2100769118","usgsCitation":"Nichols, J.D., Oli, M.K., Kendall, W.L., and Boomer, G., 2021, Opinion: A preferred approach for dealing with reproducibility and replicability in science: Proceedings of the National Academy of Sciences of the United States of America, v. 118, no. 7, p. 1-5, https://doi.org/10.1073/pnas.2100769118.","productDescription":"e2100769118, 5 p.","startPage":"1","endPage":"5","ipdsId":"IP-119470","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":453425,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7896342","text":"Publisher Index Page"},{"id":396495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oli, Madan K. 0000-0001-6944-0061","orcid":"https://orcid.org/0000-0001-6944-0061","contributorId":201302,"corporation":false,"usgs":false,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":836046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":836044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boomer, G. Scott","contributorId":84603,"corporation":false,"usgs":true,"family":"Boomer","given":"G. Scott","affiliations":[],"preferred":false,"id":836047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219485,"text":"70219485 - 2021 - Shade, light, and stream temperature responses to riparian thinning in second-growth redwood forests of northern California","interactions":[],"lastModifiedDate":"2021-04-12T11:51:35.478377","indexId":"70219485","displayToPublicDate":"2021-02-16T06:57:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Shade, light, and stream temperature responses to riparian thinning in second-growth redwood forests of northern California","docAbstract":"<p><span>Resource managers in the Pacific Northwest (USA) actively thin second-growth forests to accelerate the development of late-successional conditions and seek to expand these restoration thinning treatments into riparian zones. Riparian forest thinning, however, may impact stream temperatures–a key water quality parameter often regulated to protect stream habitat and aquatic organisms. To better understand the effects of riparian thinning on shade, light, and stream temperature, we employed a manipulative field experiment following a replicated Before-After-Control-Impact (BACI) design in three watersheds in the redwood forests of northern California, USA. Thinning treatments were intended to reduce canopy closure or basal area within the riparian zone by up to 50% on both sides of the stream channel along a 100–200 m stream reach. We found that responses to thinning ranged widely depending on the intensity of thinning treatments. In the watersheds with more intensive treatments, thinning reduced shade, increased light, and altered stream thermal regimes in thinned and downstream reaches. Thinning shifted thermal regimes by increasing maximum temperatures, thermal variability, and the frequency and duration of elevated temperatures. These thermal responses occurred primarily during summer but also extended into spring and fall. Longitudinal profiles indicated that increases in temperature associated with thinning frequently persisted downstream, but downstream effects depended on the magnitude of upstream temperature increases. Model selection analyses indicated that local changes in shade as well as upstream thermal conditions and proximity to upstream treatments explained variation in stream temperature responses to thinning. In contrast, in the study watershed with less intensive thinning, smaller changes in shade and light resulted in minimal stream temperature responses. Collectively, our data shed new light on the stream thermal responses to riparian thinning. These results provide relevant information for managers considering thinning as a viable restoration strategy for second-growth riparian forests.</span></p>","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0246822","usgsCitation":"Roon, D., Dunham, J.B., and Groom, J.D., 2021, Shade, light, and stream temperature responses to riparian thinning in second-growth redwood forests of northern California: PLoS ONE, v. 16, no. 2, e0246822, 25 p., https://doi.org/10.1371/journal.pone.0246822.","productDescription":"e0246822, 25 p.","ipdsId":"IP-124305","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":453427,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0246822","text":"Publisher Index Page"},{"id":384959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"Redwood National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.21142578125,\n              41.50034959128928\n            ],\n            [\n              -123.651123046875,\n              41.50034959128928\n            ],\n            [\n              -123.651123046875,\n              42.00032514831621\n            ],\n            [\n              -124.21142578125,\n              42.00032514831621\n            ],\n            [\n              -124.21142578125,\n              41.50034959128928\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Roon, David","contributorId":257063,"corporation":false,"usgs":false,"family":"Roon","given":"David","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":813772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":813773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groom, Jeremiah D","contributorId":257065,"corporation":false,"usgs":false,"family":"Groom","given":"Jeremiah","email":"","middleInitial":"D","affiliations":[{"id":51978,"text":"Groom Analytics, LLC","active":true,"usgs":false}],"preferred":false,"id":813774,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228581,"text":"70228581 - 2021 - Modeling how to achieve localized areas of reduced white-tailed deer density","interactions":[],"lastModifiedDate":"2022-02-14T21:08:01.739762","indexId":"70228581","displayToPublicDate":"2021-02-15T15:00:04","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling how to achieve localized areas of reduced white-tailed deer density","docAbstract":"<p>Localized management of white-tailed deer (<i>Odocoileus virginianus</i>) involves the removal of matriarchal family units with the intent to create areas of reduced deer density. However, application of this approach has not always been successful, possibly because of female dispersal and high deer densities. We developed a spatially explicit, agent-based model to investigate the intensity of deer removal required to locally reduce deer density depending on the surrounding deer density, dispersal behavior, and size and shape of the area of localized reduction. Application of this model is illustrated using the example of abundant deer populations in Pennsylvania, USA. Most scenarios required at least 5 years before substantial deer density reductions occurred. Our model indicated that a localized reduction was successful for scenarios in which the surrounding deer density was lowest (30 deer/mi²), localized antlerless harvest rates were 30%, and the removal area was 5 mi² or larger. When the size of the removal area was &lt; 5 mi2, end population density was highly variable and, in some scenarios, exceeded the initial density. The shape of the area of localized reduction had less influence on the ability to reduce deer density than the size. There were no differences in mean deer density in the same size circle or square removal areas. Similarly, increasing the ratio of sides (length : width) in rectangular removal areas had little influence on the ability to locally reduce deer densities. Situations in which deer density was higher (40 or 50 deer/mi2) required antlerless removal rates to exceed 30% and took more than 5 years to considerably reduce density in the localized area regardless of its size. These results indicate that the size of the area of reduction, surrounding deer density, and antlerless harvest rate are the most influential factors in locally reducing deer density. Therefore, localized management likely can be an effective strategy for lower density herds, especially in larger removal areas. For high density herds, the success of this strategy would depend most on the ability of resource managers to achieve consistently high antlerless harvest rates.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2020.109393","usgsCitation":"Van Buskirk, A.N., Rosenberry, C., Wallingford, B., Domoto, E.J., McDill, M., Drohan, P., and Diefenbach, D.R., 2021, Modeling how to achieve localized areas of reduced white-tailed deer density: Ecological Modelling, v. 442, 109393, 13 p., https://doi.org/10.1016/j.ecolmodel.2020.109393.","productDescription":"109393, 13 p.","ipdsId":"IP-118247","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"442","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Van Buskirk, Amanda N.","contributorId":276219,"corporation":false,"usgs":false,"family":"Van Buskirk","given":"Amanda","email":"","middleInitial":"N.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":834674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberry, Christopher S.","contributorId":276220,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":834675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallingford, Bret D.","contributorId":276221,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret D.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":834676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Domoto, Emily Just","contributorId":276222,"corporation":false,"usgs":false,"family":"Domoto","given":"Emily","email":"","middleInitial":"Just","affiliations":[{"id":37212,"text":"Pennsylvania Department of Conservation and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":834677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDill, Marc E.","contributorId":276223,"corporation":false,"usgs":false,"family":"McDill","given":"Marc E.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":834678,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drohan, Patrick","contributorId":276224,"corporation":false,"usgs":false,"family":"Drohan","given":"Patrick","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":834679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834673,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70218464,"text":"70218464 - 2021 - The Mars 2020 Perseverance rover mast camera zoom (Mastcam-Z) multispectral, stereoscopic imaging investigation","interactions":[],"lastModifiedDate":"2021-03-01T17:29:10.522513","indexId":"70218464","displayToPublicDate":"2021-02-15T11:15:33","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The Mars 2020 Perseverance rover mast camera zoom (Mastcam-Z) multispectral, stereoscopic imaging investigation","docAbstract":"<p><span>Mastcam-Z is a multispectral, stereoscopic imaging investigation on the Mars 2020 mission’s&nbsp;</span><i>Perseverance</i><span>&nbsp;rover. Mastcam-Z consists of a pair of focusable, 4:1 zoomable cameras that provide broadband red/green/blue and narrowband 400-1000&nbsp;nm color imaging with fields of view from 25.6° × 19.2° (26&nbsp;mm focal length at 283&nbsp;μrad/pixel) to 6.2° × 4.6° (110&nbsp;mm focal length at 67.4&nbsp;μrad/pixel). The cameras can resolve (≥ 5 pixels) ∼0.7&nbsp;mm features at 2&nbsp;m and ∼3.3&nbsp;cm features at 100&nbsp;m distance. Mastcam-Z shares significant heritage with the Mastcam instruments on the Mars Science Laboratory&nbsp;</span><i>Curiosity</i><span>&nbsp;rover. Each Mastcam-Z camera consists of zoom, focus, and filter wheel mechanisms and a 1648 × 1214 pixel charge-coupled device detector and electronics. The two Mastcam-Z cameras are mounted with a 24.4&nbsp;cm stereo baseline and 2.3° total toe-in on a camera plate ∼2&nbsp;m above the surface on the rover’s Remote Sensing Mast, which provides azimuth and elevation actuation. A separate digital electronics assembly inside the rover provides power, data processing and storage, and the interface to the rover computer. Primary and secondary Mastcam-Z calibration targets mounted on the rover top deck enable tactical reflectance calibration. Mastcam-Z multispectral, stereo, and panoramic images will be used to provide detailed morphology, topography, and geologic context along the rover’s traverse; constrain mineralogic, photometric, and physical properties of surface materials; monitor and characterize atmospheric and astronomical phenomena; and document the rover’s sample extraction and caching locations. Mastcam-Z images will also provide key engineering information to support sample selection and other rover driving and tool/instrument operations decisions.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11214-020-00755-x","usgsCitation":"Bell, J., Maki, J.N., Mehall, G.L., Ravine, M.A., Caplinger, M.A., Bailey, Z.J., Brylow, S., Schaffner, J.A., Kinch, K.M., Madsen, M.B., Winhold, A., Hayes, A.G., Corlies, P., Tate, C., Barrington, M., Cisneros, E., Jensen, E., Parise, K.L., Crawford, K., Rojas, C., Mehall, L., Joseph, J., Proton, J.B., Cluff, N., Deen, R.G., Betts, B., Cloutis, E., Coates, A.J., Colaprete, A., Edgett, K.S., Ehlmann, B.L., Fagents, S.A., Grotzinger, J., Hardgrove, C., Herkenhoff, K., Horgan, B.H., Jaumann, R., Johnson, J., Lemmon, M.T., Paar, G., Caballo-Perucha, M., Gupta, S., Traxler, C., Preusker, F., Rice, M.S., Robinson, M., Schmitz, N., Sullivan, R., and Wolff, M.J., 2021, The Mars 2020 Perseverance rover mast camera zoom (Mastcam-Z) multispectral, stereoscopic imaging investigation: Space Science Reviews, v. 217, 24, 40 p., https://doi.org/10.1007/s11214-020-00755-x.","productDescription":"24, 40 p.","ipdsId":"IP-119257","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":453429,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11214-020-00755-x","text":"Publisher Index Page"},{"id":383699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"217","noUsgsAuthors":false,"publicationDate":"2021-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Bell, J. F. III","contributorId":252853,"corporation":false,"usgs":false,"family":"Bell","given":"J. F.","suffix":"III","affiliations":[{"id":36436,"text":"Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":811018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maki, J. N.","contributorId":252854,"corporation":false,"usgs":false,"family":"Maki","given":"J.","email":"","middleInitial":"N.","affiliations":[{"id":50450,"text":"JPL/Caltech, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":811019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mehall, G. L.","contributorId":252855,"corporation":false,"usgs":false,"family":"Mehall","given":"G.","email":"","middleInitial":"L.","affiliations":[{"id":36436,"text":"Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":811020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ravine, M. A.","contributorId":252856,"corporation":false,"usgs":false,"family":"Ravine","given":"M.","email":"","middleInitial":"A.","affiliations":[{"id":50451,"text":"Malin Space Science Systems, Inc; San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":811021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caplinger, M. A.","contributorId":252857,"corporation":false,"usgs":false,"family":"Caplinger","given":"M.","email":"","middleInitial":"A.","affiliations":[{"id":50451,"text":"Malin Space Science Systems, Inc; San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":811022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, Z. J.","contributorId":252858,"corporation":false,"usgs":false,"family":"Bailey","given":"Z.","email":"","middleInitial":"J.","affiliations":[{"id":50450,"text":"JPL/Caltech, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":811023,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brylow, S.","contributorId":252859,"corporation":false,"usgs":false,"family":"Brylow","given":"S.","affiliations":[{"id":50451,"text":"Malin Space Science Systems, Inc; San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":811024,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schaffner, J. A.","contributorId":252860,"corporation":false,"usgs":false,"family":"Schaffner","given":"J.","email":"","middleInitial":"A.","affiliations":[{"id":50451,"text":"Malin Space Science Systems, Inc; San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":811025,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kinch, K. M.","contributorId":252861,"corporation":false,"usgs":false,"family":"Kinch","given":"K.","email":"","middleInitial":"M.","affiliations":[{"id":40283,"text":"University of Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":811026,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Madsen, M. B.","contributorId":252862,"corporation":false,"usgs":false,"family":"Madsen","given":"M.","email":"","middleInitial":"B.","affiliations":[{"id":40283,"text":"University of Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":811027,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Winhold, A.","contributorId":252863,"corporation":false,"usgs":false,"family":"Winhold","given":"A.","email":"","affiliations":[{"id":36436,"text":"Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":811028,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hayes, A. 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,{"id":70217896,"text":"sir20205110 - 2021 - Geologic assessment of undiscovered oil and gas resources in the Cherokee Platform area of Kansas, Oklahoma, and Missouri","interactions":[],"lastModifiedDate":"2021-04-01T15:49:52.891672","indexId":"sir20205110","displayToPublicDate":"2021-02-15T11:15:00","publicationYear":"2021","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":"2020-5110","displayTitle":"Geologic Assessment of Undiscovered Oil and Gas Resources in the Cherokee Platform Province Area of Kansas, Oklahoma, and Missouri","title":"Geologic assessment of undiscovered oil and gas resources in the Cherokee Platform area of Kansas, Oklahoma, and Missouri","docAbstract":"<p>In 2015, the U.S. Geological Survey completed a geology-based assessment to estimate the volumes of undiscovered, technically recoverable petroleum resources in the Cherokee Platform Province area of southeastern Kansas, northeastern Oklahoma, and southwestern Missouri. The U.S. Geological Survey identified four stratigraphic intervals that contain petroleum source rocks: (1) thin shales in the Middle to Upper Ordovician Simpson Group, (2) shales within the Upper Devonian to Lower Mississippian Woodford Shale and stratigraphically equivalent Chattanooga Shale, (3) coals and coal-associated shales and mudstones in the Middle Pennsylvanian (Desmoinesian) Cherokee and Marmaton Groups, and (4) thin marine shales within the Marmaton Group and the Upper Pennsylvanian (Missourian) Kansas City and Lansing Groups. Based on the nature of the petroleum accumulations, the characterization of the compositions and thermal maturity of the organic matter in the rocks, and the compositions of the produced petroleum, the U.S. Geological Survey identified three total petroleum systems (TPS) containing four assessment units (AU): the Paleozoic Composite TPS with the Paleozoic Conventional Assessment Unit (AU), the Woodford/Chattanooga TPS with the Woodford Shale Oil AU and the Woodford Biogenic Gas AU, and the Desmoinesian Coal TPS with the Desmoinesian Coalbed Gas AU. Assessment unit summaries follow</p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">1. Three source rock intervals have contributed geochemically distinct oils to reservoirs within the Paleozoic Conventional AU. These intervals are the Simpson Group; the Woodford and Chattanooga Shales; and the Marmaton, Kansas City, and Lansing Groups. The major petroleum source rocks are the Woodford and Chattanooga Shales. The Paleozoic Conventional AU includes reservoirs that range in age from the Upper Cambrian Arbuckle Group to the lower Permian Chase Group. Most oil production in the province has been from Pennsylvanian sandstone reservoirs. Estimated undiscovered petroleum resources for this AU are a mean of 3 million barrels of oil (MMBO), 140 billion cubic feet of gas (BCFG), and 4 million barrels of natural gas liquids (MMBNGL).</p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">2. The Woodford Shale Oil AU contains undiscovered continuous petroleum resources within the Woodford Shale and Chattanooga Shale. The geologic model for the AU assumes that petroleum resources remain trapped within the shale following petroleum migration. For most of the AU, organic matter within the Woodford Shale and Chattanooga Shale is thermally mature with respect to petroleum generation as shown by vitrinite reflectance values between 0.6 and 1 percent. Petroleum has been produced from the Woodford Shale and Chattanooga Shale. Estimated undiscovered petroleum resources for this AU are means of 460 MMBO, 640 BCFG, and 7 MMBNGL.<br></p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">3. The Woodford Shale Biogenic Gas AU contains undiscovered continuous petroleum resources in the east-central portion of the Cherokee Platform Province near the Ozark uplift where the Woodford Shale and Chattanooga Shale are at depths of 1,250 ft or shallower. At those depths, methanogenesis and(or) biodegradation of thermogenic natural gases can be found where the shale may be more fractured and more susceptible to groundwater penetrations. The mean assessed volume of undiscovered gas for this assessment unit is 416 BCFG and 1 MMBNGL.<br></p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">4. The Desmoinesian Coalbed Gas AU contains undiscovered continuous petroleum resources within the Middle Pennsylvanian coals and coal-associated shales and mudstones. The boundaries for the Desmoinesian Coalbed Gas AU are, in part, defined by the extent, depth, and thickness of the coals. Within the Desmoinesian Coalbed Gas AU, a sweet spot area was delineated based on a 10 foot or greater net coal thickness. Gas analytical data show that natural gas produced from the coals has a mixed biogenic and thermogenic origin and that there is significant migration of natural gas into the coals from adjacent conventional sandstone reservoirs. The estimated mean volume of undiscovered gas is 10.0 trillion cubic ft of gas (TCFG), and 23 MMBNGL.</p><p>For the three continuous (unconventional) assessment units and one conventional assessment unit in the Cherokee Platform Province, total mean volumes of undiscovered petroleum resources are estimated to be 463 MMBO, 11.2 TCFG and 35 MMBNGL.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205110","issn":"978-1-4113-4399-3","usgsCitation":"Drake, R.M., II, and Hatch, J.R., 2021, Geologic assessment of undiscovered oil and gas resources in the Cherokee Platform area of Kansas, Oklahoma, and Missouri: U.S. Geological Survey Scientific Investigations Report 2020–5110, 39 p., https://doi.org/10.3133/sir20205110.","productDescription":"viii, 39 p.","onlineOnly":"N","ipdsId":"IP-069652","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":383204,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5110/sir20205110.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5110"},{"id":383203,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5110/coverthb2.jpg"}],"country":"United States","state":"Kansas, Missouri, Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.2392578125,\n              33.43144133557529\n            ],\n            [\n              -93.251953125,\n              33.578014746143985\n            ],\n            [\n              -93.2958984375,\n              40.04443758460856\n            ],\n            [\n              -100.0634765625,\n              40.04443758460856\n            ],\n            [\n              -100.2392578125,\n              33.43144133557529\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://www.usgs.gov/centers/cersc/\" data-mce-href=\"http://www.usgs.gov/centers/cersc/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geologic Setting</li><li>Petroleum Exploration and Production History</li><li>Petroleum Assessment Terminology and Methodology</li><li>Petroleum Source Rock Characterization</li><li>Petroleum Systems of the Cherokee Platform Province</li><li>Paleozoic Composite Total Petroleum System</li><li>Woodford/Chattanooga Total Petroleum System</li><li>Desmoinesian Coal Total Petroleum System</li><li>Assessment Summary</li><li>Acknowledgments</li><li>References Cited</li><li>References Cited</li></ul>","publishedDate":"2021-02-16","noUsgsAuthors":false,"publicationDate":"2021-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Drake, Ronald M. 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,{"id":70228704,"text":"70228704 - 2021 - Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?","interactions":[],"lastModifiedDate":"2022-02-17T16:13:10.096719","indexId":"70228704","displayToPublicDate":"2021-02-15T09:59:18","publicationYear":"2021","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":"Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?","docAbstract":"<p><span>The efficiency of biodiversity assessments and biomonitoring studies is commonly challenged by limitations in taxonomic identification and quantification approaches. In this study, we assessed the effects of different taxonomic and numerical resolutions on a range of community structure metrics in invertebrate compositional data sets from six regions distributed across North and South America. We specifically assessed the degree of similarity in the metrics (richness, equitability, beta diversity, heterogeneity in community composition and congruence) for data sets identified to a coarse resolution (usually family level) and the finest taxonomic resolution practical (usually genus level, sometimes species or morphospecies) and by presence-absence and relative abundance numerical resolutions. Spearman correlations showed highly significant and positive associations between univariate metrics (richness and equitability) calculated for coarse- and finest-resolution datasets. Procrustes analysis detected significant congruence between composition datasets. Higher correlation coefficients were found for datasets with the same numerical resolutions regardless of the taxonomic level (about 90%), while the correlations for comparisons across numerical resolutions were consistently lower. Our findings indicate that family-level resolution can be used as a surrogate of finer taxonomic resolutions to calculate a range of biodiversity metrics commonly used to describe invertebrate community structure patterns in New World freshwater wetlands without significant loss of information. However, conclusions on biodiversity patterns derived from datasets with different numerical resolutions should be critically considered in studies on wetland invertebrates.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2021.107437","usgsCitation":"Pires, M.M., Grech, M.G., Stenert, C., Maltchik, L., Epele, L.B., McLean, K., Kneitel, J., Bell, D., Greig, H.S., Gagne, C.R., and Batzer, D., 2021, Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?: Ecological Indicators, v. 125, 107437, 7 p., https://doi.org/10.1016/j.ecolind.2021.107437.","productDescription":"107437, 7 p.","ipdsId":"IP-122245","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":453432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2021.107437","text":"Publisher Index 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0000-0002-5728-8733","orcid":"https://orcid.org/0000-0002-5728-8733","contributorId":279557,"corporation":false,"usgs":false,"family":"Pires","given":"Mateus","email":"","middleInitial":"M.","affiliations":[{"id":57278,"text":"Laboratory of Ecology and Conservation of Aquatic Ecosystems, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil","active":true,"usgs":false}],"preferred":false,"id":835154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grech, Marta G.","contributorId":279583,"corporation":false,"usgs":false,"family":"Grech","given":"Marta","email":"","middleInitial":"G.","affiliations":[{"id":57276,"text":"Centro de Investigación Esquel de Montaña y Estepa Patagónica (CONICET-UNPSJB), Roca 12 780, Esquel, Chubut, Argentina","active":true,"usgs":false}],"preferred":false,"id":835155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stenert, Cristina","contributorId":279584,"corporation":false,"usgs":false,"family":"Stenert","given":"Cristina","affiliations":[{"id":57300,"text":"Universidade do Vale do Rio dos Sinos (UNISINOS), 950 Unisinos av, São Leopoldo, RS, 9 Brazil","active":true,"usgs":false}],"preferred":false,"id":835156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maltchik, Leonardo","contributorId":279585,"corporation":false,"usgs":false,"family":"Maltchik","given":"Leonardo","affiliations":[{"id":57300,"text":"Universidade do Vale do Rio dos Sinos (UNISINOS), 950 Unisinos av, São Leopoldo, RS, 9 Brazil","active":true,"usgs":false}],"preferred":false,"id":835157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Epele, Luis B.","contributorId":279586,"corporation":false,"usgs":false,"family":"Epele","given":"Luis","email":"","middleInitial":"B.","affiliations":[{"id":57276,"text":"Centro de Investigación Esquel de Montaña y Estepa Patagónica (CONICET-UNPSJB), Roca 12 780, Esquel, Chubut, Argentina","active":true,"usgs":false}],"preferred":false,"id":835158,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McLean, Kyle 0000-0003-3803-0136 kmclean@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-0136","contributorId":168533,"corporation":false,"usgs":true,"family":"McLean","given":"Kyle","email":"kmclean@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":835159,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kneitel, Jamie M.","contributorId":279587,"corporation":false,"usgs":false,"family":"Kneitel","given":"Jamie M.","affiliations":[{"id":57301,"text":"California State University, 6000 J St, Sacramento, CA 95819, USA","active":true,"usgs":false}],"preferred":false,"id":835160,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bell, Douglas A.","contributorId":279590,"corporation":false,"usgs":false,"family":"Bell","given":"Douglas A.","affiliations":[{"id":57302,"text":"East Bay Regional Park District, 2950 Peralta Oaks Court, Oakland, CA","active":true,"usgs":false}],"preferred":false,"id":835161,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Greig, Hamish S.","contributorId":279591,"corporation":false,"usgs":false,"family":"Greig","given":"Hamish","email":"","middleInitial":"S.","affiliations":[{"id":57280,"text":"University of Maine, 212 Deering Hall, Orono, ME","active":true,"usgs":false}],"preferred":false,"id":835162,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gagne, Chase R.","contributorId":279592,"corporation":false,"usgs":false,"family":"Gagne","given":"Chase","email":"","middleInitial":"R.","affiliations":[{"id":57280,"text":"University of Maine, 212 Deering Hall, Orono, ME","active":true,"usgs":false}],"preferred":false,"id":835163,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Batzer, Darold P.","contributorId":279593,"corporation":false,"usgs":false,"family":"Batzer","given":"Darold P.","affiliations":[{"id":57305,"text":"University of Georgia, 120 Cedar St, Athens, GA 30602, USA","active":true,"usgs":false}],"preferred":false,"id":835164,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70229051,"text":"70229051 - 2021 - Uncovering process domains in large rivers: Patterns and potential drivers of benthic substrate heterogeneity in two North American riverscapes","interactions":[],"lastModifiedDate":"2022-02-28T14:29:43.181527","indexId":"70229051","displayToPublicDate":"2021-02-15T08:18:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Uncovering process domains in large rivers: Patterns and potential drivers of benthic substrate heterogeneity in two North American riverscapes","docAbstract":"<p id=\"sp0065\">Identifying and understanding functional process domains (sensu<span>&nbsp;</span>Montgomery, 1999) in rivers is paramount for linking the physical habitat template to ecosystem structure and function. To date, efforts to do this have been rare, especially in large rivers, as they require appropriate tools for quantifying habitat heterogeneity with fine-scale resolution across broad spatial extents. In this study, we used side-scan sonar technology to map riverbed substrate at six sites in the Yellowstone and Missouri rivers. Substrate maps were then analyzed and visualized using geospatial analysis to relate fine-grained spatial substrate patterns to process domain structure. Our findings revealed two distinct nested domains of substrate patchiness, suggesting that different factors are responsible for shaping patterns of substrate at different scales. Although small-scale patchiness in substrate was likely driven by internal, or autogenic, physical processes, patterns at larger segment extents (&gt;3 km) were often driven by abrupt transitions in habitat related to exogenous factors such as lateral erosion of talus, tributary inputs, and bank armoring. Additionally, we found that heterogeneity in benthic substrate increased with spatial extent at all of our study sites; however, this relationship was lower in the Missouri River, which is altered by impoundment. Our study represents one of the first efforts to relate benthic habitat heterogeneity to nested process domain structure in large riverscapes, and offers a unique perspective for linking landscape processes, geomorphological habitat heterogeneity, and biological structure and function in large rivers.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2020.107524","usgsCitation":"Scholl, E., Cross, W.F., Baxter, C.V., and Guy, C.S., 2021, Uncovering process domains in large rivers: Patterns and potential drivers of benthic substrate heterogeneity in two North American riverscapes: Geomorphology, v. 375, p. 1-15, https://doi.org/10.1016/j.geomorph.2020.107524.","productDescription":"107524, 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-120694","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487762,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/5832738","text":"External Repository"},{"id":396542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","otherGeospatial":"Missouri River, Yellowstone River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.820068359375,\n              47.25686404408872\n            ],\n            [\n              -103.60107421874999,\n              47.25686404408872\n            ],\n            [\n              -103.60107421874999,\n              48.22467264956519\n            ],\n            [\n              -106.820068359375,\n              48.22467264956519\n            ],\n            [\n              -106.820068359375,\n              47.25686404408872\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"375","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Scholl, E.A","contributorId":286923,"corporation":false,"usgs":false,"family":"Scholl","given":"E.A","email":"","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":836362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, W. F.","contributorId":15412,"corporation":false,"usgs":true,"family":"Cross","given":"W.","email":"","middleInitial":"F.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":836363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baxter, C. V.","contributorId":62853,"corporation":false,"usgs":true,"family":"Baxter","given":"C.","email":"","middleInitial":"V.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":836364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":836361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219912,"text":"70219912 - 2021 - Evaluating lethal toxicant doses for the largest individuals of an invasive vertebrate predator with indeterminate growth","interactions":[],"lastModifiedDate":"2021-04-16T13:04:00.523779","indexId":"70219912","displayToPublicDate":"2021-02-15T07:58:35","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating lethal toxicant doses for the largest individuals of an invasive vertebrate predator with indeterminate growth","docAbstract":"<p>The brown treesnake (Boiga irregularis) was accidentally introduced to Guam and caused severe ecological and economic damages. Acetaminophen is an effective, low-risk oral toxicant for invasive brown treesnakes, and an automated aerial delivery system (ADS) has been developed for landscape-scale toxic bait distribution. A fixed dose of 80 mg of acetaminophen within a tablet inserted into a dead neonatal mouse (DNM) was lethal for all brown treesnakes in previous trials; however, these trials did not include very large individuals which are difficult to acquire for testing. Because most reptiles continue to grow throughout their lifespan, a small number reach much greater than average body sizes. Here, we tested effectiveness of 80 mg acetaminophen DNM baits for unusually large brown treesnakes as they became available. Our results confirmed that an 80 mg dose is lethal for the vast majority of snakes on Guam, but efficacy starts to diminish around 200 g of body mass. We also tested an alternative mouse bait configuration with 160 mg of acetaminophen <br>that could be incorporated into the ADS to improve control of unusually large snakes. The 160 mg dose is expected to be effective for nearly all female snakes; males grow much larger and additional methods will be needed for extraordinarily large individuals. We describe a full dose-response curve for brown treesnakes to acetaminophen tablets and estimate the LD90 at 299 mg/kg and the LD99 at 578 mg/kg. To our knowledge, this is the first published dose-response curve for an invasive vertebrate with indeterminate growth.</p>","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2021.12.2.17","usgsCitation":"Siers, S.R., Goetz, S.M., Volsteadt, R.M., and Nafus, M.G., 2021, Evaluating lethal toxicant doses for the largest individuals of an invasive vertebrate predator with indeterminate growth: Management of Biological Invasions, v. 12, no. 2, p. 476-494, https://doi.org/10.3391/mbi.2021.12.2.17.","productDescription":"19 p.","startPage":"476","endPage":"494","ipdsId":"IP-122414","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467258,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2021.12.2.17","text":"Publisher Index Page"},{"id":436510,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HJIBE8","text":"USGS data release","linkHelpText":"Monitoring mortality of brown treesnakes fed an oral toxicant (acetaminophen) in an external bait placement dosing technique in the laboratory, 2017"},{"id":436509,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WCZW5V","text":"USGS data release","linkHelpText":"Brown Treesnake Mortality Habitat Management Unit Guam 2019"},{"id":436508,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BBRG2F","text":"USGS data release","linkHelpText":"Arena trial breach attempts and morphometric data of brown treesnakes and rats, Guam, 2019-2020"},{"id":385153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Siers, Shane R.","contributorId":152305,"corporation":false,"usgs":false,"family":"Siers","given":"Shane","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":814385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goetz, Scott Michael 0000-0002-8705-5316","orcid":"https://orcid.org/0000-0002-8705-5316","contributorId":228868,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":814386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Volsteadt, Rachel M.","contributorId":257490,"corporation":false,"usgs":false,"family":"Volsteadt","given":"Rachel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":814387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":814388,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219170,"text":"70219170 - 2021 - Improving the ability of a BACI design to detect impacts within a kelp‐forest community","interactions":[],"lastModifiedDate":"2021-06-01T17:27:50.058416","indexId":"70219170","displayToPublicDate":"2021-02-15T07:46:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Improving the ability of a BACI design to detect impacts within a kelp‐forest community","docAbstract":"<p><span>Distinguishing between human impacts and natural variation in abundance remains difficult because most species exhibit complex patterns of variation in space and time. When ecological monitoring data are available, a before‐after‐control‐impact (BACI) analysis can control natural spatial and temporal variation to better identify an impact and estimate its magnitude. However, populations with limited distributions and confounding spatial‐temporal dynamics can violate core assumptions of BACI‐type designs. In this study, we assessed how such properties affect the potential to identify impacts. Specifically, we quantified the conditions under which BACI analyses correctly (or incorrectly) identified simulated anthropogenic impacts in a spatially and temporally replicated data set of fish, macroalgal, and invertebrate species found on nearshore subtidal reefs in southern California, USA. We found BACI&nbsp;failed to assess very localized impacts, and had low power but high precision when assessing region‐wide impacts. Power was highest for severe impacts of moderate spatial scale, and impacts were most easily detected in species with stable, widely distributed populations. Serial autocorrelation in the data greatly inflated false impact detection rates, and could be partly controlled for statistically, while spatial synchrony in dynamics had no consistent effect on power or false detection rates. Unfortunately, species that offer high power to detect real impacts were also more likely to detect impacts where none had occurred. However, considering power and false detection rates together can identify promising indicator species, and collectively analyzing data for similar species improved the net ability to assess impacts. These insights set expectations for the sizes and severities of impacts that BACI analyses can detect in real systems, point to the importance of serial autocorrelation (but not of spatial synchrony), and indicate how to choose the species, and groups of species, that can best identify impacts.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eap.2304","usgsCitation":"Rassweiler, A., Okamoto, D.K., Reed, D.C., Kushner, D.J., Schroeder, D., and Lafferty, K.D., 2021, Improving the ability of a BACI design to detect impacts within a kelp‐forest community: Ecological Applications, v. 31, no. 4, e02304, 15 p., https://doi.org/10.1002/eap.2304.","productDescription":"e02304, 15 p.","ipdsId":"IP-118865","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":384711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Rassweiler, Andrew 0000-0002-8760-3888","orcid":"https://orcid.org/0000-0002-8760-3888","contributorId":203606,"corporation":false,"usgs":false,"family":"Rassweiler","given":"Andrew","email":"","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":813105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Okamoto, Daniel K","contributorId":256705,"corporation":false,"usgs":false,"family":"Okamoto","given":"Daniel","email":"","middleInitial":"K","affiliations":[{"id":51835,"text":"Department of Biological Science, Florida State University, Tallahassee, Florida, 32306 USA","active":true,"usgs":false}],"preferred":false,"id":813106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Daniel C.","contributorId":203607,"corporation":false,"usgs":false,"family":"Reed","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":813107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kushner, David J","contributorId":256706,"corporation":false,"usgs":false,"family":"Kushner","given":"David","email":"","middleInitial":"J","affiliations":[{"id":51836,"text":"Channel Islands National Park, Ventura, California, 93001 USA","active":true,"usgs":false}],"preferred":false,"id":813108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schroeder, Donna M","contributorId":256707,"corporation":false,"usgs":false,"family":"Schroeder","given":"Donna M","affiliations":[{"id":51837,"text":"Bureau of Ocean Energy Management, Pacific OCS Region, 760 Paseo Camarillo, Camarillo, California, 93010 USA","active":true,"usgs":false}],"preferred":false,"id":813109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813110,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70218783,"text":"70218783 - 2021 - The role of hydrates, competing chemical constituents, and surface composition on CLNO2 formation","interactions":[],"lastModifiedDate":"2021-03-12T13:46:18.062877","indexId":"70218783","displayToPublicDate":"2021-02-15T07:45:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7760,"text":"Environmental Science Technology","active":true,"publicationSubtype":{"id":10}},"title":"The role of hydrates, competing chemical constituents, and surface composition on CLNO2 formation","docAbstract":"<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\">Atomic chlorine (Cl<sup>•</sup>) affects air quality and atmospheric oxidizing capacity. Nitryl chloride (ClNO<sub>2</sub>) – a common Cl<sup>•</sup><span>&nbsp;</span>source–forms when chloride-containing aerosols react with dinitrogen pentoxide (N<sub>2</sub>O<sub>5</sub>). A recent study showed that saline lakebed (playa) dust is an inland source of particulate chloride (Cl<sup>–</sup>) that generates high ClNO<sub>2</sub>. However, the underlying physiochemical factors responsible for observed yields are poorly understood. To elucidate these controlling factors, we utilized single particle and bulk techniques to determine the chemical composition and mineralogy of playa sediment and dust samples from the southwest United States. Single particle analysis shows trace highly hygroscopic magnesium and calcium Cl-containing minerals are present and likely facilitate ClNO<sub>2</sub><span>&nbsp;</span>formation at low humidity. Single particle and mineralogical analysis detected playa sediment organic matter that hinders N<sub>2</sub>O<sub>5</sub><span>&nbsp;</span>uptake as well as 10 Å-clay minerals (e.g., Illite) that compete with water and chloride for N<sub>2</sub>O<sub>5</sub>. Finally, we show that the composition of the aerosol surface, rather than the bulk, is critical in ClNO<sub>2</sub><span>&nbsp;</span>formation. These findings underscore the importance of mixing state, competing reactions, and surface chemistry on N<sub>2</sub>O<sub>5</sub><span>&nbsp;</span>uptake and ClNO<sub>2</sub><span>&nbsp;</span>yield for playa dusts and, likely, other aerosol systems. Therefore, consideration of particle surface composition is necessary to improve ClNO<sub>2</sub><span>&nbsp;</span>and air quality modeling.</p></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c06067","usgsCitation":"Royer, H.M., Mitroo, D., Hayes, S.M., Haas, S., Pratt, K.A., Blackwelder, P., Gill, T.E., and Gaston, C.J., 2021, The role of hydrates, competing chemical constituents, and surface composition on CLNO2 formation: Environmental Science Technology, v. 55, no. 5, p. 2869-2877, https://doi.org/10.1021/acs.est.0c06067.","productDescription":"9 p.","startPage":"2869","endPage":"2877","ipdsId":"IP-120375","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":384345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Royer, Haley M.","contributorId":255118,"corporation":false,"usgs":false,"family":"Royer","given":"Haley","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":811839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitroo, Dhruv","contributorId":255119,"corporation":false,"usgs":false,"family":"Mitroo","given":"Dhruv","email":"","affiliations":[],"preferred":false,"id":811840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Sarah M. 0000-0001-5887-6492","orcid":"https://orcid.org/0000-0001-5887-6492","contributorId":208569,"corporation":false,"usgs":true,"family":"Hayes","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":811841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haas, Savannah","contributorId":255122,"corporation":false,"usgs":false,"family":"Haas","given":"Savannah","email":"","affiliations":[],"preferred":false,"id":811842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pratt, Kerri A","contributorId":255123,"corporation":false,"usgs":false,"family":"Pratt","given":"Kerri","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":811843,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blackwelder, Patricia","contributorId":255125,"corporation":false,"usgs":false,"family":"Blackwelder","given":"Patricia","email":"","affiliations":[],"preferred":false,"id":811844,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gill, Thomas E.","contributorId":255127,"corporation":false,"usgs":false,"family":"Gill","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":811845,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gaston, Cassandra J.","contributorId":255129,"corporation":false,"usgs":false,"family":"Gaston","given":"Cassandra","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":811846,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70218306,"text":"70218306 - 2021 - SARS-CoV-2 exposure in escaped mink, Utah, USA","interactions":[],"lastModifiedDate":"2021-02-25T13:41:32.785785","indexId":"70218306","displayToPublicDate":"2021-02-15T07:37:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"SARS-CoV-2 exposure in escaped mink, Utah, USA","docAbstract":"<div id=\"abstract\" class=\"card\"><div class=\"card-body bg-tertiary\"><p>In August 2020, outbreaks of coronavirus disease were confirmed on mink farms in Utah, USA. We surveyed mammals captured on and around farms for evidence of infection or exposure. Free-ranging mink, presumed domestic escapees, exhibited high antibody titers, suggesting a potential severe acute respiratory syndrome coronavirus 2 transmission pathway to native wildlife.</p></div></div><div id=\"mainbody\"><br></div>","language":"English","publisher":"Center for Disease Control and Prevention","doi":"10.3201/eid2703.204444","usgsCitation":"Shriner, S.A., Ellis, J.E., Root, J.J., Roug, A., Stopak, S.R., Wiscomb, G.W., Zierenberg, J.R., Ip, H., Torchetti, M.K., and DeLiberto, T., 2021, SARS-CoV-2 exposure in escaped mink, Utah, USA: Emerging Infectious Diseases, v. 27, no. 3, p. 988-990, https://doi.org/10.3201/eid2703.204444.","productDescription":"3 p.","startPage":"988","endPage":"990","ipdsId":"IP-123050","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":453438,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid2703.204444","text":"Publisher Index Page"},{"id":383618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-111.046551,41.251716],[-111.046723,40.997959],[-110.750727,40.996847],[-110.715026,40.996347],[-110.539819,40.996346],[-110.500718,40.994746],[-110.375714,40.994947],[-110.250709,40.996089],[-110.237848,40.995427],[-110.125709,40.99655],[-110.121639,40.997101],[-110.048476,40.997555],[-110.006495,40.997815],[-110.000708,40.997352],[-109.999838,40.99733],[-109.97553,40.997912],[-109.855299,40.997614],[-109.854302,40.997661],[-109.715409,40.998191],[-109.713877,40.998266],[-109.676421,40.998395],[-109.534926,40.998143],[-109.500694,40.999127],[-109.250735,41.001009],[-109.231985,41.002059],[-109.173682,41.000859],[-109.050076,41.000659],[-109.048455,40.826081],[-109.049088,40.714562],[-109.048373,40.662602],[-109.048249,40.653601],[-109.048044,40.619231],[-109.050074,40.540358],[-109.049955,40.539901],[-109.050698,40.499963],[-109.050314,40.495092],[-109.050946,40.444368],[-109.050969,40.222662],[-109.050973,40.180849],[-109.050944,40.180712],[-109.050813,40.059579],[-109.050873,40.058915],[-109.050615,39.87497],[-109.05104,39.660472],[-109.051363,39.497674],[-109.050765,39.366677],[-109.051512,39.126095],[-109.052436,38.999985],[-109.053292,38.942878],[-109.053233,38.942467],[-109.053797,38.905284],[-109.053943,38.904414],[-109.054189,38.874984],[-109.057388,38.795456],[-109.059541,38.719888],[-109.060253,38.599328],[-109.059962,38.499987],[-109.060062,38.275489],[-109.054648,38.244921],[-109.041762,38.16469],[-109.041837,38.153022],[-109.04282,37.999301],[-109.042819,37.997068],[-109.043121,37.97426],[-109.041058,37.907236],[-109.041653,37.88117],[-109.041844,37.872788],[-109.041723,37.842051],[-109.041754,37.835826],[-109.041461,37.800105],[-109.042098,37.74999],[-109.041636,37.74021],[-109.04176,37.713182],[-109.041732,37.711214],[-109.042269,37.666067],[-109.042089,37.623795],[-109.042131,37.617662],[-109.041806,37.604171],[-109.041865,37.530726],[-109.041915,37.530653],[-109.043137,37.499992],[-109.043464,37.484711],[-109.04581,37.374993],[-109.046039,37.249993],[-109.045584,37.249351],[-109.045487,37.210844],[-109.045978,37.201831],[-109.045995,37.177279],[-109.045156,37.112064],[-109.045203,37.111958],[-109.045173,37.109464],[-109.045189,37.096271],[-109.044995,37.086429],[-109.045058,37.074661],[-109.045166,37.072742],[-109.045223,36.999084],[-109.181196,36.999271],[-109.233848,36.999266],[-109.246917,36.999346],[-109.26339,36.999263],[-109.268213,36.999242],[-109.270097,36.999266],[-109.378039,36.999135],[-109.381226,36.999148],[-109.495338,36.999105],[-109.625668,36.998308],[-109.875673,36.998504],[-110.000677,36.997968],[-110.000876,36.998502],[-110.021778,36.998602],[-110.47019,36.997997],[-110.490908,37.003566],[-110.50069,37.00426],[-110.599512,37.003448],[-110.625605,37.003416],[-110.62569,37.003721],[-110.75069,37.003197],[-111.066496,37.002389],[-111.133718,37.000779],[-111.254853,37.001077],[-111.278286,37.000465],[-111.405517,37.001497],[-111.405869,37.001481],[-111.412784,37.001478],[-112.35769,37.001025],[-112.368946,37.001125],[-112.534545,37.000684],[-112.538593,37.000674],[-112.540368,37.000669],[-112.545094,37.000734],[-112.558974,37.000692],[-112.609787,37.000753],[-112.899366,37.000319],[-112.966471,37.000219],[-113.965907,36.999976],[-113.965907,37.000025],[-114.0506,37.000396],[-114.051749,37.088434],[-114.051822,37.090976],[-114.052827,37.103961],[-114.051867,37.134292],[-114.052179,37.14711],[-114.051673,37.172368],[-114.051405,37.233854],[-114.051974,37.283848],[-114.051974,37.284511],[-114.0518,37.293044],[-114.0518,37.293548],[-114.051927,37.370459],[-114.051927,37.370734],[-114.051765,37.418083],[-114.052448,37.43144],[-114.052701,37.492014],[-114.052685,37.502513],[-114.052718,37.517264],[-114.052689,37.517859],[-114.052962,37.592783],[-114.052472,37.604776],[-114.051728,37.745997],[-114.051785,37.746249],[-114.05167,37.746958],[-114.051109,37.756276],[-114.049919,37.765586],[-114.048473,37.809861],[-114.049677,37.823645],[-114.049928,37.852508],[-114.049658,37.881368],[-114.050423,37.999961],[-114.049903,38.148601],[-114.050138,38.24996],[-114.049417,38.2647],[-114.05012,38.404536],[-114.050091,38.404673],[-114.050485,38.499955],[-114.049834,38.543784],[-114.049862,38.547764],[-114.050154,38.57292],[-114.049883,38.677365],[-114.049749,38.72921],[-114.049168,38.749951],[-114.049465,38.874949],[-114.048521,38.876197],[-114.048054,38.878693],[-114.049104,39.005509],[-114.047079,39.499943],[-114.047728,39.542742],[-114.047273,39.759413],[-114.047783,39.79416],[-114.047214,39.821024],[-114.047134,39.906037],[-114.046555,39.996899],[-114.046835,40.030131],[-114.046386,40.097896],[-114.046741,40.104231],[-114.046683,40.116931],[-114.046153,40.231971],[-114.046178,40.398313],[-114.045826,40.424823],[-114.045218,40.430282],[-114.045518,40.494474],[-114.045577,40.495801],[-114.045281,40.506586],[-114.043505,40.726292]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 \"}}]}","volume":"27","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shriner, Susan A.","contributorId":168690,"corporation":false,"usgs":false,"family":"Shriner","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":13407,"text":"Colorado State Univ.","active":true,"usgs":false}],"preferred":false,"id":810920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Jeremeny E.","contributorId":252826,"corporation":false,"usgs":false,"family":"Ellis","given":"Jeremeny","email":"","middleInitial":"E.","affiliations":[{"id":50432,"text":"US Department of Agriculture – National Wildlife Research Center, Fort Collins, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":810921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Root, J. Jeffrey","contributorId":212847,"corporation":false,"usgs":false,"family":"Root","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":810922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roug, Annette","contributorId":181940,"corporation":false,"usgs":false,"family":"Roug","given":"Annette","email":"","affiliations":[],"preferred":false,"id":810923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stopak, Scott R.","contributorId":252827,"corporation":false,"usgs":false,"family":"Stopak","given":"Scott","email":"","middleInitial":"R.","affiliations":[{"id":50433,"text":"US Department of Agriculture – Wildlife Services, Boise, Idaho, USA","active":true,"usgs":false}],"preferred":false,"id":810924,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiscomb, Gerald W.","contributorId":252828,"corporation":false,"usgs":false,"family":"Wiscomb","given":"Gerald","email":"","middleInitial":"W.","affiliations":[{"id":50434,"text":"Wildlife Services, Billings, MT, USA","active":true,"usgs":false}],"preferred":false,"id":810925,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zierenberg, Jared R.","contributorId":252829,"corporation":false,"usgs":false,"family":"Zierenberg","given":"Jared","email":"","middleInitial":"R.","affiliations":[{"id":50436,"text":"Wildlife Services, Salt Lake City, UT, USA","active":true,"usgs":false}],"preferred":false,"id":810926,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ip, Hon S. 0000-0003-4844-7533","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":126815,"corporation":false,"usgs":true,"family":"Ip","given":"Hon S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":810927,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Torchetti, Mia K.","contributorId":252830,"corporation":false,"usgs":false,"family":"Torchetti","given":"Mia","email":"","middleInitial":"K.","affiliations":[{"id":50437,"text":"US Department of Agriculture – Veterinary Services, Ames, Iowa, USA","active":true,"usgs":false}],"preferred":false,"id":810928,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DeLiberto, Thomas J.","contributorId":139362,"corporation":false,"usgs":false,"family":"DeLiberto","given":"Thomas J.","affiliations":[{"id":12749,"text":"USDA APHIS National Wildlife Research Center, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":810929,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70220313,"text":"70220313 - 2021 - Cloud-native repositories for big scientific data","interactions":[],"lastModifiedDate":"2021-05-04T12:13:11.359426","indexId":"70220313","displayToPublicDate":"2021-02-15T07:08:04","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8579,"text":"Computing in Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Cloud-native repositories for big scientific data","docAbstract":"<div class=\"abstract-text row\"><div class=\"col-12\"><div class=\"u-mb-1\"><div>Scientific data have traditionally been distributed via downloads from data server to local computer. This way of working suffers from limitations as scientific datasets grow toward the petabyte scale. A “cloud-native data repository,” as defined in this article, offers several advantages over traditional data repositories—performance, reliability, cost-effectiveness, collaboration, reproducibility, creativity, downstream impacts, and access and inclusion. These objectives motivate a set of best practices for cloud-native data repositories: analysis-ready data, cloud-optimized (ARCO) formats, and loose coupling with data-proximate computing. The Pangeo Project has developed a prototype implementation of these principles by using open-source scientific Python tools. By providing an ARCO data catalog together with on-demand, scalable distributed computing, Pangeo enables users to process big data at rates exceeding 10 GB/s. Several challenges must be resolved in order to realize cloud computing’s full potential for scientific research, such as organizing funding, training users, and enforcing data privacy requirements.</div></div></div></div>","language":"English","publisher":"IEEE","doi":"10.1109/MCSE.2021.3059437","usgsCitation":"Abernathey, R., Augspurger, T., Banihirwe, A., Blackmon-Luca, C.C., Crone, T., Gentemann, C., Hamman, J., Henderson, N., Lepore, C., McCaie, T., Robinson, N., and Signell, R.P., 2021, Cloud-native repositories for big scientific data: Computing in Science and Engineering, v. 23, no. 2, p. 26-35, https://doi.org/10.1109/MCSE.2021.3059437.","productDescription":"10 p.","startPage":"26","endPage":"35","ipdsId":"IP-124175","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":453440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/mcse.2021.3059437","text":"Publisher Index Page"},{"id":385445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Abernathey, Ryan","contributorId":257830,"corporation":false,"usgs":false,"family":"Abernathey","given":"Ryan","email":"","affiliations":[{"id":52132,"text":"Lamont–Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":815121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augspurger, Tom","contributorId":189894,"corporation":false,"usgs":false,"family":"Augspurger","given":"Tom","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":815122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banihirwe, Anderson","contributorId":257831,"corporation":false,"usgs":false,"family":"Banihirwe","given":"Anderson","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":815123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackmon-Luca, Charles C.","contributorId":257832,"corporation":false,"usgs":false,"family":"Blackmon-Luca","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":52132,"text":"Lamont–Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":815124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crone, Timothy","contributorId":257833,"corporation":false,"usgs":false,"family":"Crone","given":"Timothy","affiliations":[{"id":52132,"text":"Lamont–Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":815125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gentemann, Chelle","contributorId":257834,"corporation":false,"usgs":false,"family":"Gentemann","given":"Chelle","email":"","affiliations":[{"id":35859,"text":"Farallon Institute","active":true,"usgs":false}],"preferred":false,"id":815126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hamman, Joseph","contributorId":257835,"corporation":false,"usgs":false,"family":"Hamman","given":"Joseph","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":815127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Henderson, Naomi","contributorId":257836,"corporation":false,"usgs":false,"family":"Henderson","given":"Naomi","email":"","affiliations":[{"id":52132,"text":"Lamont–Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":815128,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lepore, Chiara","contributorId":257837,"corporation":false,"usgs":false,"family":"Lepore","given":"Chiara","email":"","affiliations":[{"id":52132,"text":"Lamont–Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":815129,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCaie, Theo","contributorId":257838,"corporation":false,"usgs":false,"family":"McCaie","given":"Theo","email":"","affiliations":[{"id":52134,"text":"Met Office, UK. University of Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":815130,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robinson, Niall","contributorId":257839,"corporation":false,"usgs":false,"family":"Robinson","given":"Niall","email":"","affiliations":[{"id":52134,"text":"Met Office, UK. University of Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":815131,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Signell, Richard P. 0000-0003-0682-9613 rsignell@usgs.gov","orcid":"https://orcid.org/0000-0003-0682-9613","contributorId":140906,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":815132,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70219252,"text":"70219252 - 2021 - Estimating the survival of unobservable life stages for a declining frog with a complex life-history","interactions":[],"lastModifiedDate":"2021-04-01T11:58:56.345351","indexId":"70219252","displayToPublicDate":"2021-02-15T06:55:35","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the survival of unobservable life stages for a declining frog with a complex life-history","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Demographic models enhance understanding of drivers of population growth and inform conservation efforts to prevent population declines and extinction. For species with complex life histories, however, parameterizing demographic models is challenging because some life stages can be difficult to study directly. Integrated population models (IPMs) empower researchers to estimate vital rates for organisms that have cryptic or widely dispersing early life stages by integrating multiple demographic data sources. For a stream‐inhabiting frog (<i>Rana boylii</i>) that is declining through much of its range in Oregon and California, USA, we collected egg‐mass counts and capture–mark–recapture data on adults from two populations in California to fit IPMs that estimate adult abundance and the survival rate of both marked and unobserved life stages. Estimates of adult abundance based on long‐term monitoring of egg‐mass counts showed that study populations fluctuated greatly inter‐annually but were stable at longer timescales (i.e., decades). Adult female survival during 5–6&nbsp;yr of capture–mark–recapture study periods was nearly equal in each population. Survival rate of<span>&nbsp;</span><i>R.&nbsp;boylii</i><span>&nbsp;</span>eggs to the subadult stage is low on average (0.002) but highly variable among years depending on post‐oviposition stream flow. Population viability analysis showed that survival of adult and subadult life stages has the greatest proportional effect on population growth; the survival of egg and tadpole life stages, however, is more malleable by management interventions. For example, simulations showed head‐starting of tadpoles, salvaging stranded egg masses, and limiting aseasonal pulsed flows could dramatically reduce the threat of extirpation. This study demonstrates the value of integrating multiple demographic data sources to construct models of population dynamics in species with complex life histories.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3381","usgsCitation":"Rose, J.P., Kupferberg, S., Wheeler, C., Kleeman, P.M., and Halstead, B., 2021, Estimating the survival of unobservable life stages for a declining frog with a complex life-history: Ecosphere, v. 12, no. 12, e03381, 18 p., https://doi.org/10.1002/ecs2.3381.","productDescription":"e03381, 18 p.","ipdsId":"IP-114927","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":453443,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3381","text":"Publisher Index Page"},{"id":436511,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N019EK","text":"USGS data release","linkHelpText":"Code and Data to Fit an Integrated Population Model for the Foothill Yellow-legged Frog, Rana boylii, in Northern California"},{"id":384796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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              -124.8046875,\n              37.64903402157866\n            ],\n            [\n              -120.89355468749999,\n              37.64903402157866\n            ],\n            [\n              -120.89355468749999,\n              41.47566020027821\n            ],\n            [\n              -124.8046875,\n              41.47566020027821\n            ],\n            [\n              -124.8046875,\n              37.64903402157866\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kupferberg, Sarah","contributorId":256924,"corporation":false,"usgs":false,"family":"Kupferberg","given":"Sarah","affiliations":[{"id":51899,"text":"Department of Integrative Biology, University of California, Berkeley, 3040 Valley Life Sciences Building #3140, Berkeley, California, 94720 USA","active":true,"usgs":false}],"preferred":false,"id":813417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheeler, Clara A","contributorId":256925,"corporation":false,"usgs":false,"family":"Wheeler","given":"Clara A","affiliations":[{"id":51902,"text":"Pacific Southwest Research Station, Redwood Science Lab, USDA Forest Service, Arcata, California, 95521 USA","active":true,"usgs":false}],"preferred":false,"id":813418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":813420,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70229407,"text":"70229407 - 2021 - Effects of experimental flea removal and plague vaccine treatments on survival of northern Idaho ground squirrels and two coexisting sciurids","interactions":[],"lastModifiedDate":"2022-03-07T12:32:59.756836","indexId":"70229407","displayToPublicDate":"2021-02-15T06:30:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Effects of experimental flea removal and plague vaccine treatments on survival of northern Idaho ground squirrels and two coexisting sciurids","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Plague is a non-native disease in North America that reduces survival of many mammals. Previous studies have focused on&nbsp;<a class=\"topic-link\" title=\"Learn more about epizootic from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/epizootics\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/epizootics\">epizootic</a>&nbsp;plague which causes acute mortality events and dramatic declines in local abundance. We know much less about&nbsp;<a class=\"topic-link\" title=\"Learn more about enzootic from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/enzootic\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/enzootic\">enzootic</a>&nbsp;plague which causes less punctuated reductions in survival and abundance of infected populations. As a result, enzootic plague is much more difficult to detect because changes in population attributes are more subtle and&nbsp;</span><span><i><a class=\"topic-link\" title=\"Learn more about Yersinia pestis from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/yersinia-pestis\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/yersinia-pestis\">Yersinia pestis</a></i></span><span>&nbsp;</span>prevalence is likely lower relative to epizootic plague outbreaks. The northern Idaho ground squirrel (<i>Urocitellus brunneus</i>) is a threatened species which coexists with Columbian ground squirrels (<i>Urocitellus columbianus</i>) and yellow-pine chipmunks (<i>Neotamias amoenus</i>) throughout their restricted distribution in central Idaho. Columbian ground squirrels and yellow-pine chipmunks are more abundant and widespread than northern Idaho ground squirrels and both are known hosts for plague. Hence, enzootic plague may be one cause of rarity for northern Idaho ground squirrels but its effect on this threatened species has not been evaluated. We conducted three controlled and randomized field experiments to examine the effects of plague in northern Idaho ground squirrels and the two coexisting species: 1) a plague vaccine experiment, 2) a paired flea-reduction experiment, and 3) a non-paired flea-reduction experiment. For Experiment 1, we hypothesized that if enzootic plague is present, vaccinated animals would have higher survival. Furthermore, Experiments 2 and 3 tested the prediction that untreated, control animals should have lower survival than those in areas where fleas are experimentally removed or reduced because fleas are the main vector for plague. In the plague vaccine experiment, vaccinated chipmunks had 4.65% higher apparent survival compared to chipmunks that received a placebo for intervals when the vaccine is believed to be effective. Apparent annual survival increased for all three species on experimental flea-reduction plots compared to non-treated plots for the paired experiment but results were mixed for the non-paired experiment. Taken together, our results suggest that enzootic plague is present and negatively impacting survival of northern Idaho ground squirrels and two coexisting species.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2021.e01489","usgsCitation":"Goldberg, A., Conway, C.J., and Biggins, D.E., 2021, Effects of experimental flea removal and plague vaccine treatments on survival of northern Idaho ground squirrels and two coexisting sciurids: Global Ecology and Conservation, v. 26, e01489, 16 p., https://doi.org/10.1016/j.gecco.2021.e01489.","productDescription":"e01489, 16 p.","ipdsId":"IP-124911","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":453446,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2021.e01489","text":"Publisher Index 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,{"id":70229140,"text":"70229140 - 2021 - The interactive effects of stream temperature, stream size, and non-native species on Yellowstone cutthroat trout","interactions":[],"lastModifiedDate":"2022-03-01T16:18:28.394894","indexId":"70229140","displayToPublicDate":"2021-02-14T10:09:40","publicationYear":"2021","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":"The interactive effects of stream temperature, stream size, and non-native species on Yellowstone cutthroat trout","docAbstract":"<p>Climate change and non-native species are considered two of the biggest threats to native salmonids in North America. We evaluated how non-native salmonids and stream temperature and discharge were associated with Yellowstone cutthroat trout (<i>Oncorhynchus clarkii bouvieri</i>) distribution, abundance, and body size to gain a more complete understanding of the existing threats to native populations. Allopatric Yellowstone cutthroat trout were distributed across a wide range of average August temperatures (3.2 to 17.7&nbsp;°C), but occurrence significantly declined at colder temperatures (&lt;10&nbsp;°C) with increasing numbers of non-natives. At warmer temperatures, occurrence remained high, despite sympatry with non-natives. Yellowstone cutthroat trout relative abundance was significantly reduced with increasing abundance of non-natives, with the greatest impacts at colder temperatures. Body sizes of large Yellowstone cutthroat trout (90th percentile) significantly increased with warming temperatures and larger stream size, highlighting the importance of access to these more productive stream segments. Considering multiple population-level attributes demonstrates the complexities of how native salmonids (such as Yellowstone cutthroat trout) are likely to be affected by shifting climates.</p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0408","usgsCitation":"Al-Chokhachy, R., Lien, M., Shepard, B.B., and High, B., 2021, The interactive effects of stream temperature, stream size, and non-native species on Yellowstone cutthroat trout: Canadian Journal of Fisheries and Aquatic Sciences, v. 78, no. 8, p. 1073-1083, https://doi.org/10.1139/cjfas-2020-0408.","productDescription":"11 p.","startPage":"1073","endPage":"1083","ipdsId":"IP-108988","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":501010,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/106639","text":"External 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Brett","contributorId":274499,"corporation":false,"usgs":false,"family":"High","given":"Brett","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":836758,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217009,"text":"70217009 - 2021 - Letter to the editor: Using classification systems to integrate ecosystem services with decision making tools","interactions":[],"lastModifiedDate":"2021-04-14T14:12:31.138583","indexId":"70217009","displayToPublicDate":"2021-02-14T09:05:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"Letter to the editor: Using classification systems to integrate ecosystem services with decision making tools","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2021.101257","usgsCitation":"Finisdore, J., Lamothe, K.A., Rhodes, C., Obst, C., Booth, P., Haines-Young, R., Russell, M., Houdet, J.R., Maynard, S., Wielgus, J., and Rowcroft, P., 2021, Letter to the editor: Using classification systems to integrate ecosystem services with decision making tools: Ecosystem Services, v. 48, 101257, 2 p., https://doi.org/10.1016/j.ecoser.2021.101257.","productDescription":"101257, 2 p.","ipdsId":"IP-123739","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":453448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8048124","text":"Publisher Index Page"},{"id":385091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Finisdore, John","contributorId":245879,"corporation":false,"usgs":false,"family":"Finisdore","given":"John","email":"","affiliations":[{"id":49358,"text":"IDEEA, in Melbourne AUSL","active":true,"usgs":false}],"preferred":false,"id":807253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamothe, Karl A.","contributorId":245880,"corporation":false,"usgs":false,"family":"Lamothe","given":"Karl","email":"","middleInitial":"A.","affiliations":[{"id":49360,"text":"graduate student in Canada","active":true,"usgs":false}],"preferred":false,"id":807254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhodes, Charles 0000-0002-9040-3684","orcid":"https://orcid.org/0000-0002-9040-3684","contributorId":245881,"corporation":false,"usgs":true,"family":"Rhodes","given":"Charles","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":807255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Obst, Carl","contributorId":176851,"corporation":false,"usgs":false,"family":"Obst","given":"Carl","email":"","affiliations":[],"preferred":false,"id":814240,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Booth, Pieter","contributorId":257431,"corporation":false,"usgs":false,"family":"Booth","given":"Pieter","email":"","affiliations":[],"preferred":false,"id":814241,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haines-Young, Roy","contributorId":257432,"corporation":false,"usgs":false,"family":"Haines-Young","given":"Roy","email":"","affiliations":[],"preferred":false,"id":814242,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Russell, Marc","contributorId":257433,"corporation":false,"usgs":false,"family":"Russell","given":"Marc","affiliations":[],"preferred":false,"id":814243,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Houdet, Joel Robert","contributorId":257434,"corporation":false,"usgs":false,"family":"Houdet","given":"Joel","email":"","middleInitial":"Robert","affiliations":[],"preferred":false,"id":814244,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Maynard, Simone","contributorId":191652,"corporation":false,"usgs":false,"family":"Maynard","given":"Simone","email":"","affiliations":[],"preferred":false,"id":814245,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wielgus, Jeffrey","contributorId":257435,"corporation":false,"usgs":false,"family":"Wielgus","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":814246,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rowcroft, Petrina","contributorId":257436,"corporation":false,"usgs":false,"family":"Rowcroft","given":"Petrina","email":"","affiliations":[],"preferred":false,"id":814247,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70237906,"text":"70237906 - 2021 - Evidence of preferential flow activation in the vadose zone via geophysical monitoring","interactions":[],"lastModifiedDate":"2022-10-31T11:57:50.049069","indexId":"70237906","displayToPublicDate":"2021-02-14T06:52:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of preferential flow activation in the vadose zone via geophysical monitoring","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Preferential pathways allow rapid and non-uniform water movement in the subsurface due to strong heterogeneity of texture, composition, and hydraulic properties. Understanding the importance of preferential pathways is crucial, because they have strong impact on flow and transport hydrodynamics in the unsaturated zone. Particularly, improving knowledge of the water dynamics is essential for estimating travel time through soil to quantify hazards for groundwater, assess aquifer recharge rates, improve agricultural water management, and prevent surface stormflow and flooding hazards. Small scale field heterogeneities cannot be always captured by the limited number of point scale measurements collected. In order to overcome these limitations, noninvasive geophysical techniques have been widely used in the last decade to predict hydrodynamic processes, due to their capability to spatialize hydrogeophysical properties with high resolution. In the test site located in Bari, Southern Italy, the geophysical approach, based on electrical resistivity tomography (ERT) monitoring, has been implemented to detect preferential pathways triggered by an artificial rainfall event. ERT-derived soil moisture estimations were obtained in order to quantitatively predict the water storage (m<sup>3</sup>m<sup>−3</sup>), water velocity (ms<sup>−1</sup>), and spread (m<sup>2</sup>) through preferential pathways by using spatial moments analysis.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/s21041358","usgsCitation":"De Carlo, L., Perkins, K., and Caputo, M.C., 2021, Evidence of preferential flow activation in the vadose zone via geophysical monitoring: Sensors, v. 21, no. 4, 1358, 15 p., https://doi.org/10.3390/s21041358.","productDescription":"1358, 15 p.","ipdsId":"IP-126097","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":453452,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s21041358","text":"Publisher Index Page"},{"id":408876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","city":"Bari","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              16.55523218656839,\n              41.2596799930632\n            ],\n            [\n              16.55523218656839,\n              40.812101811601536\n            ],\n            [\n              17.258357186568674,\n              40.812101811601536\n            ],\n            [\n              17.258357186568674,\n              41.2596799930632\n            ],\n            [\n              16.55523218656839,\n              41.2596799930632\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"De Carlo, Lorenzo","contributorId":298644,"corporation":false,"usgs":false,"family":"De Carlo","given":"Lorenzo","email":"","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":856150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perkins, Kimberlie 0000-0001-8349-447X kperkins@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-447X","contributorId":138544,"corporation":false,"usgs":true,"family":"Perkins","given":"Kimberlie","email":"kperkins@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":856151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caputo, Maria Clementina","contributorId":298645,"corporation":false,"usgs":false,"family":"Caputo","given":"Maria","email":"","middleInitial":"Clementina","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":856152,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70220167,"text":"70220167 - 2021 - The contribution of currents, sea-swell waves, and infragravity waves to suspended-sediment transport across a coral reef-lagoon system.","interactions":[],"lastModifiedDate":"2021-04-22T15:31:31.678046","indexId":"70220167","displayToPublicDate":"2021-02-13T10:24:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7159,"text":"JGR Oceans","active":true,"publicationSubtype":{"id":10}},"title":"The contribution of currents, sea-swell waves, and infragravity waves to suspended-sediment transport across a coral reef-lagoon system.","docAbstract":"<p><span>Coral reefs generate substantial volumes of carbonate sediment, which is redistributed throughout the reef‐lagoon system. However, there is little understanding of the specific processes that transport this sediment produced on the outer portions of coral reefs throughout a reef‐lagoon system. Furthermore, the separate contributions of currents, sea‐swell waves, and infragravity waves to transport, which are all strongly influenced by the presence of a reef, is not fully understood. Here, we show that in reef‐lagoon systems most suspended sediment is transported close to the seabed and can, at times, be suspended higher in the water column during oscillatory flow transitions (i.e., near slack flow) at sea‐swell wave frequencies, and during the peak onshore oscillatory velocity phase at infragravity wave frequencies. While these wave frequencies contribute to the transport of suspended sediment offshore and onshore, respectively, the net flux is small. Mean currents are the primary transport mechanism and responsible for almost 2 orders of magnitude more suspended‐sediment flux than sea‐swell and infragravity waves. Whilst waves may not be the primary mechanism for the transport of sediment, our results suggest they are an important driver of sediment suspension from the seabed, as well as contributing to the partitioning of sediment grain sizes from the reef to the shoreline. As the ocean wave climate changes, sea level rises, and the composition of reef benthic communities change, the relative importance of mean currents, sea‐swell waves, and infragravity waves is likely to change, and this will affect how sediment is redistributed throughout reef‐lagoon systems.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JC017010","usgsCitation":"Pomeroy, A., Storlazzi, C.D., Rosenberger, K.J., Lowe, R., Hansen, J., and Buckley, M.L., 2021, The contribution of currents, sea-swell waves, and infragravity waves to suspended-sediment transport across a coral reef-lagoon system.: JGR Oceans, v. 126, no. 3, e2020JC017010, 26 p., https://doi.org/10.1029/2020JC017010.","productDescription":"e2020JC017010, 26 p.","ipdsId":"IP-124202","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":453454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020jc017010","text":"Publisher Index Page"},{"id":385282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Ningaloo Reef","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              113.6370849609375,\n              -22.550610920226646\n            ],\n            [\n              113.69888305664062,\n              -22.532853707527117\n            ],\n            [\n              113.76068115234374,\n              -22.38690459799015\n            ],\n            [\n              113.8623046875,\n              -22.146707780012616\n            ],\n            [\n              113.98452758789062,\n              -21.86532228248991\n            ],\n            [\n              113.27041625976562,\n              -21.90737455082829\n            ],\n            [\n              113.13858032226562,\n              -22.673580199535557\n            ],\n            [\n              113.27316284179688,\n              -22.823023136184315\n            ],\n            [\n              113.66729736328125,\n              -22.72172372713301\n            ],\n            [\n              113.6810302734375,\n              -22.658373466642733\n            ],\n            [\n              113.653564453125,\n              -22.58104653946133\n            ],\n            [\n              113.6370849609375,\n              -22.550610920226646\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Pomeroy, Andrew","contributorId":182033,"corporation":false,"usgs":false,"family":"Pomeroy","given":"Andrew","affiliations":[],"preferred":false,"id":814613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":814614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":814615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowe, Ryan","contributorId":177845,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","affiliations":[],"preferred":false,"id":814616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Jeff","contributorId":149139,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff","affiliations":[],"preferred":false,"id":814617,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":814618,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227143,"text":"70227143 - 2021 - Historical data provide important context for understanding declines in Cutthroat Trout","interactions":[],"lastModifiedDate":"2022-01-03T15:37:47.456251","indexId":"70227143","displayToPublicDate":"2021-02-13T08:38:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Historical data provide important context for understanding declines in Cutthroat Trout","docAbstract":"<p><span>We used historical stocking and population survey records of Yellowstone Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii bouvieri</i><span>&nbsp;and other salmonids in the North Fork Shoshone River drainage, Wyoming to summarize fish stocking history and population trends. Based on 98&nbsp;years of historical records, we found that despite extensive stocking of Yellowstone Cutthroat Trout and minimal stocking of nonnative salmonids after about 1950, populations of wild Yellowstone Cutthroat Trout declined relative to those of nonnative salmonid species. The timing of increases in nonnative salmonids (1970s) did not coincide with their period of most intensive stocking (1935–1950). It is plausible that Yellowstone Cutthroat Trout populations persisted because of high levels of supplemental stocking from 1935 to 1965 and declined with reduced stocking efforts in the 1970s, thereby allowing the increase of introduced nonnative salmonids. The establishment of nonnative salmonids likely further reduced stocking success of Yellowstone Cutthroat Trout due to competition and hybridization. This study demonstrates that an understanding of long-term stocking records and population survey data can be useful for developing and implementing successful management frameworks for the conservation of imperiled fish populations across the United States.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10593","usgsCitation":"Nordberg, B.J., Mandeville, E., Walters, A.W., Burckhardt, J.C., and Wagner, C.E., 2021, Historical data provide important context for understanding declines in Cutthroat Trout: North American Journal of Fisheries Management, v. 41, no. 3, p. 809-819, https://doi.org/10.1002/nafm.10593.","productDescription":"11 p.","startPage":"809","endPage":"819","ipdsId":"IP-107228","costCenters":[{"id":683,"text":"Wyoming Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":393734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"North Fork Shoshone River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110,\n              44.40\n            ],\n            [\n              -109,\n              44.40\n            ],\n            [\n              -109,\n              44.55\n            ],\n            [\n              -110,\n              44.55\n            ],\n            [\n              -110,\n              44.40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Nordberg, Brittany J.","contributorId":270690,"corporation":false,"usgs":false,"family":"Nordberg","given":"Brittany","email":"","middleInitial":"J.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":829772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mandeville, Elizabeth G.","contributorId":270691,"corporation":false,"usgs":false,"family":"Mandeville","given":"Elizabeth G.","affiliations":[{"id":56198,"text":"uwyo","active":true,"usgs":false}],"preferred":false,"id":829773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":829771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burckhardt, Jason C.","contributorId":270692,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason","email":"","middleInitial":"C.","affiliations":[{"id":56161,"text":"wygf","active":true,"usgs":false}],"preferred":false,"id":829774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Catherine E.","contributorId":270693,"corporation":false,"usgs":false,"family":"Wagner","given":"Catherine","email":"","middleInitial":"E.","affiliations":[{"id":56198,"text":"uwyo","active":true,"usgs":false}],"preferred":false,"id":829775,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70219530,"text":"70219530 - 2021 - Would you like to know more? The effect of personalized wildfire risk information and social comparisons on information-seeking behavior in the wildland–urban interface","interactions":[],"lastModifiedDate":"2021-04-13T13:24:44.123688","indexId":"70219530","displayToPublicDate":"2021-02-13T08:23:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Would you like to know more? The effect of personalized wildfire risk information and social comparisons on information-seeking behavior in the wildland–urban interface","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Private landowners are important actors in landscape-level wildfire risk management. Accordingly, wildfire programs and policy encourage wildland–urban interface homeowners to engage with local organizations to properly mitigate wildfire risk on their parcels. We investigate whether parcel-level wildfire risk assessment data, commonly used to inform community-level planning and resource allocation, can be used to “nudge” homeowners to engage further with a regional wildfire organization. We sent 4564 households in western Colorado a letter that included varying combinations of risk information about their community, their parcels, and their neighbors’ parcels, and we measured follow-up visits to a personalized “Web site”. We find that the effect of providing parcel-specific information depends on baseline conditions: Informing homeowners about their property’s wildfire risk increases information-seeking among homeowners of the highest-risk parcels by about 5 percentage points and reduces information-seeking among homeowners of lower-risk parcels by about 6 percentage points. Parcel-specific information also increases the overall response in the lowest risk communities by more than 10 percentage points. Further, we find evidence of a 6-percentage point increase in response rate associated with receiving a social comparison treatment that signals neighboring properties as being either low or moderate risk on average. These results, especially considered against the 13 percent overall average response rate, offer causal evidence that providing parcel-specific wildfire risk information can influence behavior. As such, we demonstrate the effectiveness of simple outreach in engaging wildland–urban interface homeowners with wildfire risk professionals in ways that leverage existing data.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s11069-021-04534-x","usgsCitation":"Meldrum, J., Brenkert-Smith, H., Champ, P.A., Gomez, J., Byerly, H., Falk, L.C., and Barth, C.M., 2021, Would you like to know more? The effect of personalized wildfire risk information and social comparisons on information-seeking behavior in the wildland–urban interface: Natural Hazards, v. 106, p. 2139-2161, https://doi.org/10.1007/s11069-021-04534-x.","productDescription":"22 p.","startPage":"2139","endPage":"2161","ipdsId":"IP-106393","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":385060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","noUsgsAuthors":false,"publicationDate":"2021-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":814068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":814069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champ, Patricia A.","contributorId":195486,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":814070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomez, Jamie","contributorId":218078,"corporation":false,"usgs":false,"family":"Gomez","given":"Jamie","email":"","affiliations":[{"id":38125,"text":"West Region Wildfire Council","active":true,"usgs":false}],"preferred":false,"id":814071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Byerly, Hilary","contributorId":244852,"corporation":false,"usgs":false,"family":"Byerly","given":"Hilary","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":814072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falk, Lilia C.","contributorId":210655,"corporation":false,"usgs":false,"family":"Falk","given":"Lilia","email":"","middleInitial":"C.","affiliations":[{"id":38125,"text":"West Region Wildfire Council","active":true,"usgs":false}],"preferred":false,"id":814073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barth, Christopher M.","contributorId":195487,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":814074,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70223797,"text":"70223797 - 2021 - Stormwater systems as a source of marine debris: A case study from the Mediterranean coast of Israel","interactions":[],"lastModifiedDate":"2021-09-08T12:43:29.178079","indexId":"70223797","displayToPublicDate":"2021-02-13T07:40:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2219,"text":"Journal of Coastal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Stormwater systems as a source of marine debris: A case study from the Mediterranean coast of Israel","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Drainage (or stormwater) systems are a potential source of marine debris. Approximately 67&nbsp;km (33%) of the land along the Mediterranean coast of Israel is considered urban, covered by concrete and asphalt. The purpose of the present pilot study was to determine the composition of the solid waste in a drainage system and evaluate to what extent municipal sources contribute to marine debris. We sampled the waste in Netanya, a medium-size city (245,000 residents) on the central Mediterranean coast of Israel. Samples were taken from seven street stormwater receptacles prior to the first significant rain and then on the beach near a drainage outlet, a few hours after this substantial rain. In terms of composition of the debris, paper, cigarette butts, and sanitary items made up a higher proportion of the drainage system debris than those items did on the beach. In contrast, single-use items, polystyrene pieces, bottle caps, and plastic drinking bottles composed more of the debris on the beaches compared to the debris in the drainage system. Overall, we found that municipal stormwater systems contribute significant amounts of solid waste to marine debris on Israeli beaches. Preventing the waste from reaching the streets might help reduce marine debris on the beaches, especially at the beginning of the rainy season. There are multiple solutions, but all will require creativity and resources and constant maintenance. Educating the public to prevent disposal of solid waste items in the street is also important as a way to reduce terrestrial as well as marine debris.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s11852-021-00818-3","usgsCitation":"Pasternak, G., Ribic, C., Spanier, E., and Zviely, D., 2021, Stormwater systems as a source of marine debris: A case study from the Mediterranean coast of Israel: Journal of Coastal Conservation, v. 25, 27, https://doi.org/10.1007/s11852-021-00818-3.","productDescription":"27","ipdsId":"IP-105476","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":388939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Israel","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[35.71992,32.70919],[35.54567,32.39399],[35.54525,31.7825],[35.39756,31.48909],[35.42092,31.10007],[34.9226,29.50133],[34.26543,31.21936],[34.55637,31.54882],[34.48811,31.60554],[34.75259,32.07293],[34.95542,32.82738],[35.09846,33.08054],[35.12605,33.0909],[35.46071,33.08904],[35.5528,33.26427],[35.8211,33.27743],[35.8364,32.86812],[35.7008,32.71601],[35.71992,32.70919]]]},\"properties\":{\"name\":\"Israel\"}}]}","volume":"25","noUsgsAuthors":false,"publicationDate":"2021-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Pasternak, Galia","contributorId":265413,"corporation":false,"usgs":false,"family":"Pasternak","given":"Galia","affiliations":[{"id":38278,"text":"University of Haifa","active":true,"usgs":false}],"preferred":false,"id":822719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":822718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spanier, Ehud","contributorId":265416,"corporation":false,"usgs":false,"family":"Spanier","given":"Ehud","affiliations":[{"id":38278,"text":"University of Haifa","active":true,"usgs":false}],"preferred":false,"id":822720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zviely, Dov","contributorId":265417,"corporation":false,"usgs":false,"family":"Zviely","given":"Dov","affiliations":[{"id":38278,"text":"University of Haifa","active":true,"usgs":false}],"preferred":false,"id":822721,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219003,"text":"70219003 - 2021 - Months-long spike in aqueous Arsenic following domestic well installation and disinfection: Short- and long-term drinking water quality implications","interactions":[],"lastModifiedDate":"2021-03-19T11:47:19.096213","indexId":"70219003","displayToPublicDate":"2021-02-13T07:28:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Months-long spike in aqueous Arsenic following domestic well installation and disinfection: Short- and long-term drinking water quality implications","docAbstract":"<div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><p id=\"sp0060\"><span>Exposure to high concentration geogenic arsenic via groundwater is a worldwide health concern. Well installation introduces oxic drilling fluids and hypochlorite (a strong oxidant) for disinfection, thus inducing geochemical&nbsp;disequilibrium. Well installation causes changes in&nbsp;geochemistry&nbsp;lasting 12&nbsp;+ months, as illustrated in a recent study of 250 new domestic wells in Minnesota, north-central United States. One study well had extremely high initial arsenic (1550&nbsp;µg/L) that substantially decreased after 15 months (5.2&nbsp;µg/L). The drilling and development of the study well were typical and ordinary; nothing observable indicated the very high initial arsenic concentration. We hypothesized that oxidation of arsenic-containing sulfides (which lowers pH) combined with low pH dissolution of arsenic-bearing Fe (oxyhydr)oxides caused the very high arsenic concentration. Geochemical equilibrium considerations and modeling supported our hypothesis. Groundwater equilibrium&nbsp;redox conditions&nbsp;are poised at the Fe(III)</span><sub>(s)</sub>/Fe(II)<sub>(aq)</sub><span>&nbsp;stability boundary, indicating arsenic-bearing Fe (oxyhydr)oxide mineral sensitivity to pH and redox changes. Changing groundwater geochemistry can have negative implications for home&nbsp;water treatment&nbsp;(e.g., reduced arsenic removal efficiency, iron fouling), which can lead to ongoing but unrecognized hazard of arsenic exposure from domestic well water. Our results may inform arsenic mobilization processes and geochemical sensitivity in similarly complex aquifers in Southeast Asia and elsewhere.</span></p></div></div><div id=\"ab0015\" class=\"abstract graphical\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2021.125409","usgsCitation":"Erickson, M., Swanner, E.D., Ziegler, B.A., and Havig, J.R., 2021, Months-long spike in aqueous Arsenic following domestic well installation and disinfection: Short- and long-term drinking water quality implications: Journal of Hazardous Materials, v. 414, 125409, 12 p., https://doi.org/10.1016/j.jhazmat.2021.125409.","productDescription":"125409, 12 p.","ipdsId":"IP-117647","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":453460,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.trinity.edu/geo_faculty/50","text":"External 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University","active":true,"usgs":false}],"preferred":false,"id":812435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Brady A.","contributorId":255481,"corporation":false,"usgs":false,"family":"Ziegler","given":"Brady","email":"","middleInitial":"A.","affiliations":[{"id":51555,"text":"Department of Geosciences, Trinity University","active":true,"usgs":false}],"preferred":false,"id":812436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Havig, Jeffrey R. 0000-0002-1326-3382","orcid":"https://orcid.org/0000-0002-1326-3382","contributorId":255482,"corporation":false,"usgs":false,"family":"Havig","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":51556,"text":"Department of Earth and Environmental Sciences, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":812437,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70239351,"text":"70239351 - 2021 - Estimates of energy partitioning, evapotranspiration, and net ecosystem exchange of CO2 for an urban lawn and a tallgrass prairie in the Denver metropolitan area under contrasting conditions","interactions":[],"lastModifiedDate":"2023-01-10T13:22:07.42483","indexId":"70239351","displayToPublicDate":"2021-02-13T07:20:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Estimates of energy partitioning, evapotranspiration, and net ecosystem exchange of CO2 for an urban lawn and a tallgrass prairie in the Denver metropolitan area under contrasting conditions","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Lawns as a landcover change substantially alter evapotranspiration, CO<sub>2</sub>, and energy exchanges and are of rising importance considering their spatial extent. We contrast eddy covariance (EC) flux measurements collected in the Denver, Colorado, USA metropolitan area in 2011 and 2012 over a lawn and a xeric tallgrass prairie. Close linkages between seasonal vegetation development, energy fluxes, and net ecosystem exchange (<i>NEE</i>) of CO<sub>2</sub><span>&nbsp;</span>were found. Irrigation of the lawn modified energy and CO<sub>2</sub><span>&nbsp;</span>fluxes and greatly contributed to differences observed between sites. Due to greater water inputs (precipitation + irrigation) at the lawn in this semi-arid climate, energy partitioning at the lawn was dominated by latent heat (<i>LE</i>) flux. As a result, evapotranspiration (<i>ET</i>) of the lawn was more than double that of tallgrass prairie (2011: 639(±17) mm vs. 302(±9) mm; 2012: 584(±15) mm vs. 265(±7) mm).<span>&nbsp;</span><i>NEE</i><span>&nbsp;</span>for the lawn was characterized by a longer growing season, higher daily net uptake of CO<sub>2</sub>, and growing season<span>&nbsp;</span><i>NEE</i><span>&nbsp;</span>that was also more than twice that of the prairie (2011: −173(±23) g C m<sup>−2</sup><span>&nbsp;</span>vs. -81(±10) g C m<sup>−2</sup>; 2012: −73(±22) g C m<sup>−2</sup><span>&nbsp;</span>vs. -21(±8) g C m<sup>−2</sup>). During the drought year (2012), temperature and water stress greatly influenced the direction and magnitude of CO<sub>2</sub><span>&nbsp;</span>flux at both sites. The results suggest that lawns in Denver can function as carbon sinks and conditionally contribute to the mitigation of carbon emissions - directly by CO<sub>2</sub><span>&nbsp;</span>uptake and indirectly through effects of evaporative cooling on microclimate and energy use.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s11252-021-01108-4","usgsCitation":"Thienelt, T., and Anderson, D.E., 2021, Estimates of energy partitioning, evapotranspiration, and net ecosystem exchange of CO2 for an urban lawn and a tallgrass prairie in the Denver metropolitan area under contrasting conditions: Urban Ecosystems, v. 24, p. 1201-1220, https://doi.org/10.1007/s11252-021-01108-4.","productDescription":"20 p.","startPage":"1201","endPage":"1220","ipdsId":"IP-119762","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":453462,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11252-021-01108-4","text":"Publisher Index Page"},{"id":411622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Denver","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.22707928477045,\n              39.91282200539774\n            ],\n            [\n              -105.22707928477045,\n              39.50731739076954\n            ],\n            [\n              -104.7768310431968,\n              39.50731739076954\n            ],\n            [\n              -104.7768310431968,\n              39.91282200539774\n            ],\n            [\n              -105.22707928477045,\n              39.91282200539774\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"24","noUsgsAuthors":false,"publicationDate":"2021-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Thienelt, Thomas","contributorId":300709,"corporation":false,"usgs":false,"family":"Thienelt","given":"Thomas","email":"","affiliations":[{"id":65241,"text":"Martin Luther University, Halle-Wittenberg","active":true,"usgs":false}],"preferred":false,"id":861229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Dean E. 0000-0002-1238-3569 deander@usgs.gov","orcid":"https://orcid.org/0000-0002-1238-3569","contributorId":300710,"corporation":false,"usgs":true,"family":"Anderson","given":"Dean","email":"deander@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":861230,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70218503,"text":"70218503 - 2021 - Electrical conductivity of the lithosphere-asthenosphere system","interactions":[],"lastModifiedDate":"2021-03-02T12:46:53.461159","indexId":"70218503","displayToPublicDate":"2021-02-13T06:43:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3071,"text":"Physics of the Earth and Planetary Interiors","active":true,"publicationSubtype":{"id":10}},"title":"Electrical conductivity of the lithosphere-asthenosphere system","docAbstract":"<p id=\"p0030\">Electromagnetic<span>&nbsp;</span>geophysical methods<span>&nbsp;</span>image the electrical conductivity of the subsurface. Electrical conductivity is an intrinsic material property that is sensitive to temperature, composition, porosity, volatile and/or melt content, and other physical properties relevant to the solid Earth. Therefore, imaging the electrical structure of the crust and mantle yields valuable information on the physical and chemical state of the lithosphere-asthenosphere system.</p><p id=\"p0035\">Here we explore the viability of the passive magnetotelluric (MT) method for constraining<span>&nbsp;</span>upper mantle<span>&nbsp;</span>properties. We approach this problem in four successive steps: 1) review the electrical conductivity behavior of relevant materials; 2) predict the bulk electrical conductivity structure of oceanic and continental lithosphere for a suite of representative physical states; 3) generate synthetic MT data from the conductivity predictions; 4) compare and discuss the conductivity predictions and the synthetic data with select case studies from oceanic and continental settings. Our aim is to clarify the uncertainties associated with drawing inferences from electrical conductivity observations and ultimately to provide a basis for assigning confidence levels to interpretations.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.pepi.2021.106661","usgsCitation":"Naif, S., Selway, K., Murphy, B.S., Egbert, G.D., and Pommier, A., 2021, Electrical conductivity of the lithosphere-asthenosphere system: Physics of the Earth and Planetary Interiors, v. 313, 106661, 24 p., https://doi.org/10.1016/j.pepi.2021.106661.","productDescription":"106661, 24 p.","ipdsId":"IP-122999","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":383704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"313","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Naif, Samer","contributorId":252975,"corporation":false,"usgs":false,"family":"Naif","given":"Samer","email":"","affiliations":[{"id":50479,"text":"Earth and Atmospheric Sciences, Georgia Tech; Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":811217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selway, Kate","contributorId":224245,"corporation":false,"usgs":false,"family":"Selway","given":"Kate","affiliations":[],"preferred":false,"id":811218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Benjamin Scott 0000-0001-7636-3711","orcid":"https://orcid.org/0000-0001-7636-3711","contributorId":242928,"corporation":false,"usgs":true,"family":"Murphy","given":"Benjamin","email":"","middleInitial":"Scott","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":811219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Egbert, Gary D.","contributorId":187462,"corporation":false,"usgs":false,"family":"Egbert","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":811220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pommier, Anne","contributorId":252976,"corporation":false,"usgs":false,"family":"Pommier","given":"Anne","email":"","affiliations":[{"id":50480,"text":"Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":811221,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70218236,"text":"70218236 - 2021 - Heatwave-induced synchrony within forage fish portfolio disrupts energy flow to top pelagic predators","interactions":[],"lastModifiedDate":"2021-04-22T18:29:27.802713","indexId":"70218236","displayToPublicDate":"2021-02-12T11:01:40","publicationYear":"2021","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":"Heatwave-induced synchrony within forage fish portfolio disrupts energy flow to top pelagic predators","docAbstract":"<p><span>During the Pacific marine heatwave of 2014–2016, abundance and quality of several key forage fish species in the Gulf of Alaska were simultaneously reduced throughout the system. Capelin (</span><i>Mallotus catervarius</i><span>), sand lance (</span><i>Ammodytes personatus</i><span>), and herring (</span><i>Clupea pallasii</i><span>) populations were at historically low levels, and within this community abrupt declines in portfolio effects identify trophic instability at the onset of the heatwave. Although compensatory changes in age‐structure, size, growth or energy content of forage fish were observed to varying degrees among all these forage fish, none were able to fully mitigate adverse impacts of the heatwave, which likely included both top‐down and bottom‐up forcing. Notably, changes to the demographic structure of forage fish suggested size‐selective removals typical of top‐down regulation. At the same time, zooplankton community structure may have driven bottom‐up regulation as copepod community structure shifted towards smaller, warm‐water species, and euphausiid biomass was reduced owing to the loss of cold‐water species. Mediated by these impacts on the forage fish community, an unprecedented disruption of the normal pelagic food web was signaled by higher trophic level disruptions during 2015–2016, when seabirds, marine mammals, and groundfish experienced shifts in distribution, mass mortalities, and reproductive failures. Unlike decadal‐scale variability underlying ecosystem regime shifts, the heatwave appeared to temporarily overwhelm the ability of the forage fish community to buffer against changes imposed by warm water anomalies, thereby eliminating any ecological advantages that may have accrued from having a suite of coexisting forage species with differing life history compensations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15556","usgsCitation":"Arimitsu, M.L., Piatt, J.F., Hatch, S., Suryan, R., Batten, S., Bishop, M.A., Campbell, R.W., Coletti, H., Cushing, D., Gorman, K., Hopcroft, R.R., Kuletz, K.J., Marsteller, C.E., McKinstry, C., McGowan, D., Moran, J., Pegau, W., Schaefer, A., Schoen, S.K., Straley, J., and von Biela, V.R., 2021, Heatwave-induced synchrony within forage fish portfolio disrupts energy flow to top pelagic predators: Global Change Biology, v. 27, no. 9, p. 1859-1878, https://doi.org/10.1111/gcb.15556.","productDescription":"20 p.","startPage":"1859","endPage":"1878","ipdsId":"IP-123071","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":453466,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.15556","text":"Publisher Index Page"},{"id":383375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -135,\n              56.32872090717995\n            ],\n            [\n              -138.1640625,\n              59.00662762374203\n            ],\n            [\n              -143.37158203125,\n              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MFEB","active":true,"usgs":true}],"preferred":true,"id":810669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":810670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatch, Scott","contributorId":16268,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","affiliations":[],"preferred":false,"id":810671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suryan, Robert 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