{"pageNumber":"256","pageRowStart":"6375","pageSize":"25","recordCount":68827,"records":[{"id":70228164,"text":"70228164 - 2020 - Water quality and ecological risk assessment of intermittent streamflow through mining and urban areas of San Marcos River sub-basin, Mexico","interactions":[],"lastModifiedDate":"2022-02-07T19:32:21.43433","indexId":"70228164","displayToPublicDate":"2020-02-07T13:10:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10088,"text":"Environmental Nanotechnology, Monitoring & Management","onlineIssn":"2215-1532","active":true,"publicationSubtype":{"id":10}},"title":"Water quality and ecological risk assessment of intermittent streamflow through mining and urban areas of San Marcos River sub-basin, Mexico","docAbstract":"<p><span>Intermittent rivers are becoming more ecologically stressed worldwide. Flow cessation occurs naturally and spatiotemporally in these systems and anthropogenic activities such as wastewater discharges can have considerable impacts. Public entities mostly monitor water quality in permanent streams, leading to insufficient monitoring of intermittent streams and consequently to their potentially inadequate management.. This study analyzed spatiotemporal patterns of water quality and associated ecological risk through the quantification of physicochemical and microbiological pollutants in the intermittent river system of El Novillo and San Marcos in Northeast Mexico. Results showed that water quality varied geographically and seasonally. Based on national and international criteria, annual averages of water quality parameters analyzed suggested that streamflow in these river systems is of poor quality and poses high ecological risk to aquatic life. In the urban area, annual mean concentrations of Cd and Pb (0.14 and 0.4 mg/L) were 77- and 10-fold higher than their respective water quality criteria (&lt;0.0018 and 0.04 mg/L). Statistically significant (q &lt; 0.05) correlations were identified in concentrations of cyanide, Cd, Cu and Pb between wastewater seeping into the river and streamflow within the urban area. These observations highlight the unique sensitivity of intermittent urban streams to anthropogenic activities and may provide useful information to enhance current water management plans for the El Novillo-San Marcos River system for the protection of ecosystem integrity and human health.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.enmm.2020.100369","usgsCitation":"Lopez, E., Patino, R., Vazquez-Sauceda, M.L., Perez-Castaneda, R., Arellano-Mendez, L.U., Ventura-Houle, R., and Heyer, L., 2020, Water quality and ecological risk assessment of intermittent streamflow through mining and urban areas of San Marcos River sub-basin, Mexico: Environmental Nanotechnology, Monitoring & Management, v. 14, 100369, 9 p., https://doi.org/10.1016/j.enmm.2020.100369.","productDescription":"100369, 9 p.","ipdsId":"IP-109161","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"El Novillo Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.37109375,\n              23.644524198573688\n            ],\n            [\n              -97.998046875,\n              23.644524198573688\n            ],\n            [\n              -97.998046875,\n              25.16517336866393\n            ],\n            [\n              -100.37109375,\n              25.16517336866393\n            ],\n            [\n              -100.37109375,\n              23.644524198573688\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Elisenda","contributorId":274748,"corporation":false,"usgs":false,"family":"Lopez","given":"Elisenda","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vazquez-Sauceda, Maria L.","contributorId":274749,"corporation":false,"usgs":false,"family":"Vazquez-Sauceda","given":"Maria","email":"","middleInitial":"L.","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perez-Castaneda, Roberto","contributorId":274750,"corporation":false,"usgs":false,"family":"Perez-Castaneda","given":"Roberto","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arellano-Mendez, Leonardo U.","contributorId":274751,"corporation":false,"usgs":false,"family":"Arellano-Mendez","given":"Leonardo","email":"","middleInitial":"U.","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ventura-Houle, Rene","contributorId":274752,"corporation":false,"usgs":false,"family":"Ventura-Houle","given":"Rene","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833284,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heyer, Lorenzo","contributorId":274753,"corporation":false,"usgs":false,"family":"Heyer","given":"Lorenzo","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833285,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208463,"text":"70208463 - 2020 - Sensitivity of warm water fishes and rainbow trout to selected contaminants","interactions":[],"lastModifiedDate":"2020-03-11T15:27:24","indexId":"70208463","displayToPublicDate":"2020-02-07T09:08:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of warm water fishes and rainbow trout to selected contaminants","docAbstract":"<p><span>Guidelines for developing water quality standards allow U.S. states to exclude toxicity data for the family Salmonidae (trout and salmon) when deriving guidelines for warm-water habitats. This practice reflects the belief that standards based on salmonid data may be overprotective of toxic effects on other fish taxa. In acute tests with six chemicals and eight fish species, the salmonid, Rainbow Trout (</span><i>Oncorhynchus mykiss</i><span>), was the most sensitive species tested with copper, zinc, and sulfate, but warm-water species were most sensitive to nickel, chloride, and ammonia. Overall, warm-water fishes, including sculpins (Cottidae) and sturgeons (Acipenseridae), were about as sensitive as salmonids in acute tests and in limited chronic testing with Lake Sturgeon (</span><i>Acipenser fulvescens</i><span>) and Mottled Sculpin (</span><i>Cottus bairdi</i><span>). In rankings of published acute values, invertebrate taxa were most sensitive for all six chemicals tested and there was no trend for greater sensitivity of salmonids compared to warm-water fish.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00128-020-02788-y","usgsCitation":"Besser, J.M., Dorman, R.A., Ivey, C.D., Cleveland, D.M., and Steevens, J.A., 2020, Sensitivity of warm water fishes and rainbow trout to selected contaminants: Bulletin of Environmental Contamination and Toxicology, v. 104, p. 321-326, https://doi.org/10.1007/s00128-020-02788-y.","productDescription":"6 p.","startPage":"321","endPage":"326","ipdsId":"IP-112054","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":372219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781996,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70212514,"text":"70212514 - 2020 - Plastic faulting in ice","interactions":[],"lastModifiedDate":"2020-08-19T13:51:58.437896","indexId":"70212514","displayToPublicDate":"2020-02-07T08:41:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5999,"text":"Journal of Geophysical Research- Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Plastic faulting in ice","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Plastic faulting is a brittle‐like failure phenomenon exhibited by water ice and several other rock types under confinement. It is suspected to be the mechanism of deep earthquakes and extreme cases of shear localization in shallow rocks. Unlike ordinary Coulombic failure, plastic faulting is characterized by a pressure‐independent failure strength and fault plane oriented 45° to maximum principal stress. To research the question of how the instability initiates, we conducted over 50 constant‐displacement‐rate experiments on polycrystalline ice (phases Ih and II) near the brittle‐to‐ductile (B‐D) transition, at confining pressures<span>&nbsp;</span><i>P</i><span>&nbsp;</span>= 0–300 MPa, applied strain rates<span>&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/12ed9fe1-8c21-4459-84ac-581223d11929/jgrb54034-math-0001.png\" alt=\"urn:x-wiley:21699313:media:jgrb54034:jgrb54034-math-0001\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/12ed9fe1-8c21-4459-84ac-581223d11929/jgrb54034-math-0001.png\"><span>&nbsp;</span>= 5 × 10<sup>−5</sup><span>&nbsp;</span>– 7 × 10<sup>−3</sup><span>&nbsp;</span>s<sup>−1</sup>, temperatures<span>&nbsp;</span><i>T</i><span>&nbsp;</span>= 105–233 K, and mean grain sizes<span>&nbsp;</span><i>d</i><span>&nbsp;</span>= 0.25–1.18 mm. We find that (1) the width of the B‐D transition in variable space is vanishingly narrow, to the point of appearing as a crossover, (2) a plastic fault plane, once formed, is not a zone of subsequent weakness, (3) distributed ice I→II phase transformation in small amounts (&lt;1 vol%) shows no causal relationship to subsequent failure, and (4) plastic faulting also occurs in ice II. We hypothesize that the elusive nucleating “trigger” parallels that of metals and ceramics undergoing severe plastic deformation, wherein transient local structural rearrangement occurs, in turn causing material strength to drop to a level sufficiently low, in a volume sufficiently large, that adiabatic instability is nucleated. Our results do not require and often are inconsistent with phase transformation. Plastic faulting may therefore be available to all solids undergoing severe deformation, and its appearance in so few is simply the result of insufficiently extreme conditions.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB018749","usgsCitation":"Golding, N., Durham, W.B., Prior, D.J., and Stern, L.A., 2020, Plastic faulting in ice: Journal of Geophysical Research- Solid Earth, v. 125, no. 5, e2019JB018749, 22 p., https://doi.org/10.1029/2019JB018749.","productDescription":"e2019JB018749, 22 p.","ipdsId":"IP-107189","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":457803,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jb018749","text":"External Repository"},{"id":377644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Golding, Narayama","contributorId":238827,"corporation":false,"usgs":false,"family":"Golding","given":"Narayama","email":"","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":796642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Durham, William B","contributorId":238828,"corporation":false,"usgs":false,"family":"Durham","given":"William","email":"","middleInitial":"B","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":796643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prior, David J","contributorId":238829,"corporation":false,"usgs":false,"family":"Prior","given":"David","email":"","middleInitial":"J","affiliations":[{"id":13378,"text":"University of Otago, New Zealand","active":true,"usgs":false}],"preferred":false,"id":796644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stern, Laura A. 0000-0003-3440-5674","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":212238,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":796645,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208976,"text":"70208976 - 2020 - Hydrologic connectivity determines dissolved organic matter biogeochemistry in northern high-latitude lakes","interactions":[],"lastModifiedDate":"2020-08-27T15:06:56.802426","indexId":"70208976","displayToPublicDate":"2020-02-06T18:31:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic connectivity determines dissolved organic matter biogeochemistry in northern high-latitude lakes","docAbstract":"<p><span>Northern high‐latitude lakes are undergoing climate‐induced changes including shifts in their hydrologic connectivity with terrestrial ecosystems. How this will impact dissolved organic matter (DOM) biogeochemistry remains uncertain. We examined the drivers of DOM composition for lakes in the Yukon Flats Basin in Alaska, an arid region of low relief that is characteristic of over one‐quarter of circumpolar lake area. Utilizing the vascular plant biomarker lignin, chromophoric dissolved organic matter (CDOM), and ultrahigh‐resolution mass spectrometry, we interpreted DOM compositional changes using lake‐water stable isotope (δ</span><sup>18</sup><span>O‐H</span><sub>2</sub><span>O) composition as a proxy for lake hydrologic connectivity with the landscape. We observed a relative decrease in CDOM in more hydrologically isolated lakes (enriched δ</span><sup>18</sup><span>O‐H</span><sub>2</sub><span>O) without a corresponding decrease in dissolved organic carbon (DOC) concentration. Although DOC and CDOM were weakly correlated, a significant positive relationship between lignin and CDOM (</span><i>r</i><sup>2</sup><span>&nbsp;= 0.67) demonstrates that optical parameters are useful for estimating lignin concentration and thus vascular plant contribution to lake DOM. Indicators of allochthonous DOM, including lignin carbon normalized yields, CDOM aromaticity proxies, and relative abundances of polyphenolic and condensed aromatic compound classes, were negatively correlated with δ</span><sup>18</sup><span>O‐H</span><sub>2</sub><span>O (</span><i>r</i><sup>2</sup><span> &gt; 0.45), suggesting there is little allochthonous DOM supplied to many of these hydrologically isolated lakes. We conclude that decreased lake hydrologic connectivity, driven by ongoing climate change (i.e., decreased precipitation, warming temperatures), will reduce allochthonous DOM contributions and shift lakes toward lower CDOM systems with ecosystem‐scale ramifications for heat transfer, photochemical reactions, productivity, and ultimately their biogeochemical function.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/lno.11417","usgsCitation":"Johnston, S.E., Striegl, R.G., Bogard, M.J., Dornblaser, M.M., Butman, D.E., Kellerman, A.M., Wickland, K.P., Podgorski, D.C., and Spencer, R., 2020, Hydrologic connectivity determines dissolved organic matter biogeochemistry in northern high-latitude lakes: Limnology and Oceanography, v. 65, no. 8, p. 1764-1780, https://doi.org/10.1002/lno.11417.","productDescription":"17 p.","startPage":"1764","endPage":"1780","ipdsId":"IP-114991","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":373035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.40136718749997,\n              66.53076810915225\n            ],\n            [\n              -142.49267578125,\n              66.53076810915225\n            ],\n            [\n              -142.49267578125,\n              69.4960701797534\n            ],\n            [\n              -156.40136718749997,\n              69.4960701797534\n            ],\n            [\n              -156.40136718749997,\n              66.53076810915225\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"65","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnston, Sarah Ellen","contributorId":213256,"corporation":false,"usgs":false,"family":"Johnston","given":"Sarah","email":"","middleInitial":"Ellen","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":784249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":784250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bogard, Matthew J. 0000-0001-9491-0328","orcid":"https://orcid.org/0000-0001-9491-0328","contributorId":213254,"corporation":false,"usgs":false,"family":"Bogard","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":784251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":784252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butman, David E.","contributorId":145535,"corporation":false,"usgs":false,"family":"Butman","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":16142,"text":"School of Environmental and Forest Sciences & Environmental Engineering, University of Washington, Seattle","active":true,"usgs":false}],"preferred":false,"id":784253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kellerman, Anne M.","contributorId":204172,"corporation":false,"usgs":false,"family":"Kellerman","given":"Anne","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":784254,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":784248,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":784255,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spencer, Robert G. M.","contributorId":139731,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G. M.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":784256,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208326,"text":"fs20203005 - 2020 - \"Modified Unified Method\" of carp capture","interactions":[],"lastModifiedDate":"2020-02-07T06:14:37","indexId":"fs20203005","displayToPublicDate":"2020-02-06T15:49:37","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3005","displayTitle":"\"Modified Unified Method\" of Carp Capture","title":"\"Modified Unified Method\" of carp capture","docAbstract":"<p>Populations of <i>Hypophthalmichthys molitrix </i>(silver carp) and <i>Hypophthalmichthys nobilis </i>(bighead carp), (together referred to herein as “bigheaded carp”) have increased exponentially in the greater Mississippi River Basin. Detrimental effects on native fish and economically important fisheries have occurred where these invasive, filter-feeding fish are abundant. The Unified Method, a harvest technique developed in China for bigheaded carp in flood plain lakes, uses herding techniques and a variety of nets to drive bigheaded carp and concentrate them into an area where they can be easily harvested. The U.S. Geological Survey is adapting the Chinese Unified Method concepts to be consistent with North American financial, societal, and environmental conditions. We have modified these techniques and incorporated modern technology to reduce the time and expense of Unified Methods and to allow them to be used in public waters. Thus, the operations in North America are often described as the “Modified Unified Method.” The U.S.&nbsp;Geological Survey is studying and refining the Modified Unified Method to provide stakeholders with efficient, validated, and environmentally friendly methods for carp removal; however, this method is still new to the United States and additional research is needed to further increase the efficiency of Modified Unified Method operations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203005","usgsCitation":"Chapman, D.C., 2020, \"Modified Unified Method\" of carp capture: U.S. Geological Survey Fact Sheet 2020–3005, 2 p., https://doi.org/10.3133/fs20203005.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-115946","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":372124,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3005/coverthb.jpg"},{"id":372125,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3005/fs20203005.pdf","text":"Report","size":"416 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020–5003"}],"contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/cerc\" href=\"https://www.usgs.gov/centers/cerc\">Columbia Environmental Research Center</a> <br>U.S. Geological Survey<br>4200 New Haven Road <br>Columbia, MO 65201</p>","tableOfContents":"<ul><li>Background</li><li>Adaptation for North America</li><li>Location and Timing</li><li>Herding Techniques</li><li>Adaptations</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-02-06","noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781425,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208283,"text":"ofr20191137 - 2020 - Groundwater withdrawals and regional flow paths at and near Willow Grove and Warminster, Pennsylvania—Data compilation and preliminary simulations for conditions in 1999, 2010, 2013, 2016, and 2017","interactions":[],"lastModifiedDate":"2023-10-25T16:35:57.196393","indexId":"ofr20191137","displayToPublicDate":"2020-02-06T14:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1137","displayTitle":"Groundwater Withdrawals and Regional Flow Paths at and near Willow Grove and Warminster, Pennsylvania—Data Compilation and Preliminary Simulations for Conditions in 1999, 2010, 2013, 2016, and 2017","title":"Groundwater withdrawals and regional flow paths at and near Willow Grove and Warminster, Pennsylvania—Data compilation and preliminary simulations for conditions in 1999, 2010, 2013, 2016, and 2017","docAbstract":"<p>In 2014, groundwater samples from residential and public supply wells in the vicinity of two former U.S. Navy bases at Willow Grove and Warminster, and an active Air National Guard Station at Horsham, Bucks and Montgomery Counties, Pennsylvania, were found to have concentrations of perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), which are per- and polyfluoroalkyl substances (PFAS), above U.S. Environmental Protection Agency (EPA) provisional health advisory (HA) levels for drinking water. Five supply wells near the bases were shut down because of PFAS contamination. In 2016, after EPA established a Lifetime HA for PFAS in drinking water that is lower than the provisional HA in place in 2014, at least 13 additional supply wells near the bases were shut down because of PFAS contamination. At the request of the U.S. Navy, and in consultation with other Federal and State agencies and local stakeholders, the U.S. Geological Survey used historical and recent data on well withdrawals, recharge rates, aquifer properties, groundwater levels, and stream base flow to evaluate regional groundwater-flow paths from identified areas of PFAS groundwater contamination or potential PFAS sources at the bases. Groundwater withdrawals near the bases from public supply and other large wells decreased substantially from the 1990s to 2017, increasing the proportion of groundwater recharge that discharged to local streams. A preliminary groundwater-flow model, calibrated using 1,009 groundwater levels and 17 stream base flow estimates, simulated regional flow paths from the bases and showed that recharge at the bases discharged to withdrawal wells and local streams, generally within a mile or two of the bases. Supply and remediation wells at the bases captured some of the recharge on base areas of possible PFAS contamination, whereas other base recharge was simulated to flow to nearby public supply wells and streams, depending on water use and aquifer recharge conditions between 1999 and 2017. The locations of many residential wells near the bases that were identified by the Navy and Air National Guard as having elevated PFAS concentrations were generally consistent with the simulated flow paths from possible sources at the bases. However, there are some areas of observed PFAS contamination where no flow paths from base sources were simulated. Additionally, no data were available on PFAS concentrations in groundwater in some areas of simulated flow paths from base sources. Data and models used for this study are provided in this report and in digital data releases to support further investigations and model revisions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191137","collaboration":"Prepared in cooperation with the U.S. Navy","usgsCitation":"Goode, D.J., and Senior, L.A., 2020, Groundwater withdrawals and regional flow paths at and near Willow Grove and Warminster, Pennsylvania—Data compilation and preliminary simulations for conditions in 1999, 2010, 2013, 2016, and 2017: U.S. Geological Survey Open-File Report 2019–1137, 127 p., https://doi.org/10.3133/ofr20191137.","productDescription":"Report: x, 127 p.; 2 Data Releases","numberOfPages":"138","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-113639","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":399427,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109664.htm"},{"id":371906,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZGEI67","text":"USGS data release","linkHelpText":"Groundwater levels, groundwater withdrawals, and point-source discharges to streams in the vicinity of Willow Grove and Warminster, Bucks and Montgomery Counties, Pennsylvania, for selected years during 1999–2017"},{"id":371905,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K36P5S","text":"USGS data release","linkHelpText":"MODFLOW 6 and MODPATH 7 model data sets used to evaluate groundwater flow in the vicinity of Horsham and Warminster, Bucks and Montgomery Counties, Pennsylvania—Preliminary simulations for conditions in 1999, 2010, 2013, 2016, and 2017"},{"id":372113,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1137/ofr20191137.pdf","text":"Report","size":"21.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1137"},{"id":371903,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1137/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Bucks County, Montgomery County","city":"Warminster, Willow Grove","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.3536,\n              40.0678\n            ],\n            [\n              -74.9167,\n              40.0678\n            ],\n            [\n              -74.9167,\n              40.2967\n            ],\n            [\n              -75.3536,\n              40.2967\n            ],\n            [\n              -75.3536,\n              40.0678\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: dc_pa@usgs.gov\" data-mce-href=\"mailto: dc_pa@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/pa-water\" data-mce-href=\"https://www.usgs.gov/centers/pa-water\">Pennsylvania Water Science Center</a><br>U.S. Geological Survey<br>215 Limekiln Road<br>New Cumberland, PA 17070</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Description of Study Area</li><li>Hydrologic Conditions and Water Use, 1999-2017</li><li>Simulation of Regional Groundwater Flow</li><li>Limitations and Suggestions for Improvements</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Annual Base Flow as Determined from Measured Streamflow at Selected Gages and Estimated for Missing Streamflow Records During 2010–2015</li><li>Appendix 2. Model Calibration Results</li><li>Appendix 3. Simulated Water Levels and Groundwater-Flow Paths</li></ul>","publishedDate":"2020-02-06","noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Goode, Daniel J. 0000-0002-8527-2456","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":216750,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781248,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211184,"text":"70211184 - 2020 - Northward migration of the Oregon forearc on the Gales Creek fault","interactions":[],"lastModifiedDate":"2020-07-16T15:42:10.873436","indexId":"70211184","displayToPublicDate":"2020-02-06T10:36:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Northward migration of the Oregon forearc on the Gales Creek fault","docAbstract":"<div class=\"article-section-wrapper js-article-section \"><p>The Gales Creek fault (GCF) is a 60-km-long, northwest-striking dextral fault system (west of Portland, Oregon) that accommodates northward motion and uplift of the Oregon Coast Range. New geologic mapping and geophysical models confirm inferred offsets from earlier geophysical surveys and document ∼12 km of right-lateral offset of a basement high in Eocene Siletz River Volcanics since ca. 35 Ma and ∼8.8 km of right-lateral separation of Miocene Columbia River Basalt at Newberg, Oregon, since 15 Ma (∼0.62 ± 0.12 mm/yr, average long-term rate). Relative uplift of Eocene Coast Range basalt basement west of the fault zone is at least 5 km based on depth to basement under the Tualatin Basin from a recent inversion of gravity data. West of the city of Forest Grove, the fault consists of two subparallel strands ∼7 km apart. The westernmost, Parsons Creek strand, forms a linear valley southward to Henry Hagg Lake, where it continues southward to Newberg as a series of en echelon strands forming both extensional and compressive step-overs. Compressive step-overs in the GCF occur at intersections with ESE-striking sinistral faults crossing the Coast Range, suggesting the GCF is the eastern boundary of an R′ Riedel shear domain that could accommodate up to half of the ∼45° of post–40 Ma clockwise rotation of the Coast Range documented by paleomagnetic studies. Gravity and magnetic anomalies suggest the western strands of the GCF extend southward beneath Newberg into the Northern Willamette Valley, where colinear magnetic anomalies have been correlated with the Mount Angel fault, the proposed source of the 1993 M 5.7 Scotts Mills earthquake. The potential-field data and water-well data also indicate the eastern, Gales Creek strand of the fault may link to the NNW-striking Canby fault through the E-W Beaverton fault to form a 30-km-wide compressive step-over along the south side of the Tualatin Basin. LiDAR data reveal right-lateral stream offsets of as much as 1.5 km, shutter ridges, and other youthful geomorphic features for 60 km along the geophysical and geologic trace of the GCF north of Newberg, Oregon. Paleoseismic trenches document Eocene bedrock thrust over 250 ka surficial deposits along a reverse splay of the fault system near Yamhill, Oregon, and Holocene motion has been recently documented on the GCF along Scoggins Creek and Parsons Creek. The GCF could produce earthquakes in excess of Mw 7, if the entire 60 km segment ruptured in one earthquake. The apparent subsurface links of the GCF to other faults in the Northern Willamette Valley suggest that other faults in the system may also be active.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02177.1","usgsCitation":"Wells, R., Blakely, R.J., and Bemis, S., 2020, Northward migration of the Oregon forearc on the Gales Creek fault: Geosphere, v. 16, no. 2, p. 660-684, https://doi.org/10.1130/GES02177.1.","productDescription":"25 p.","startPage":"660","endPage":"684","ipdsId":"IP-106554","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":457818,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02177.1","text":"Publisher Index Page"},{"id":376429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Oregon forearc","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.167724609375,\n              45.16267407976458\n            ],\n            [\n              -122.06359863281249,\n              45.16267407976458\n            ],\n            [\n              -122.06359863281249,\n              45.94351068030587\n            ],\n            [\n              -123.167724609375,\n              45.94351068030587\n            ],\n            [\n              -123.167724609375,\n              45.16267407976458\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wells, Ray 0000-0002-7796-0160","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":204016,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":793003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":793004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bemis, Sean","contributorId":175460,"corporation":false,"usgs":false,"family":"Bemis","given":"Sean","affiliations":[{"id":27572,"text":"UK","active":true,"usgs":false}],"preferred":false,"id":793005,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70219459,"text":"70219459 - 2020 - Did ice-charging generate volcanic lightning during the 2016–2017 eruption of Bogoslof volcano, Alaska?","interactions":[],"lastModifiedDate":"2021-04-08T12:43:36.88489","indexId":"70219459","displayToPublicDate":"2020-02-06T07:41:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Did ice-charging generate volcanic lightning during the 2016–2017 eruption of Bogoslof volcano, Alaska?","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The 2016–2017 shallow submarine eruption of Bogoslof volcano in Alaska injected plumes of ash and seawater to maximum heights of ~ 12&nbsp;km. More than 4550 volcanic lightning strokes were detected by the World Wide Lightning Location Network (WWLLN) and Vaisala’s Global Lightning Dataset (GLD360) over 9&nbsp;months. Lightning assisted monitoring efforts by confirming ash-producing explosions in near-real time, but only 32 out of the 70 explosive events produced detectable lightning. What led to electrical activity within some of the volcanic plumes, but not others? And why did the lightning intensity wax and wane over the lifetime of individual explosions? We address these questions using multiparametric observations from ground-based lightning sensors, satellite imagery, photographs, acoustic signals, and 1D plume modeling. Detailed time-series of monitoring data show that the plumes did not produce detectable lightning until they rose higher than the atmospheric freezing level (approximated by − 20&nbsp;°C temperatures). For example, on 28 May 2017 (event 40), the delayed onset of lightning coincides with modeled ice formation in upper levels of the plume. Model results suggest that microphysical conditions inside the plume rivaled those of severe thunderstorms, with liquid water contents &gt; 5&nbsp;g&nbsp;m<sup>−3</sup><span>&nbsp;</span>and vigorous updrafts &gt; 40&nbsp;m&nbsp;s<sup>−1</sup><span>&nbsp;</span>in the mixed-phase region where liquid water and ice coexist. Based on these findings, we infer that ‘thunderstorm-style’ collisional ice-charging catalyzed the volcanic lightning. However, charge mechanisms likely operated on a continuum, with silicate collisions dominating&nbsp;electrification&nbsp;in the near-vent region, and ice charging taking over in the upper-level plumes. A key implication of this study is that lightning during the Bogoslof eruption provided a reliable indicator of sustained, ash-rich plumes (and associated hazards) above the atmospheric freezing level.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00445-019-1350-5","usgsCitation":"Van Eaton, A.R., Schneider, D.J., Smith, C.M., Haney, M.M., Lyons, J.J., Said, R., Fee, D., Holzworth, R.H., and Mastin, L.G., 2020, Did ice-charging generate volcanic lightning during the 2016–2017 eruption of Bogoslof volcano, Alaska?: Bulletin of Volcanology, v. 82, 24, 23 p., https://doi.org/10.1007/s00445-019-1350-5.","productDescription":"24, 23 p.","ipdsId":"IP-113713","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":384923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.7939453125,\n              52.61639023304539\n            ],\n            [\n              -157.939453125,\n              52.61639023304539\n            ],\n            [\n              -157.939453125,\n              55.825973254619015\n            ],\n            [\n              -168.7939453125,\n              55.825973254619015\n            ],\n            [\n              -168.7939453125,\n              52.61639023304539\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":813662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Cassandra Marie 0000-0003-2653-4249 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-2653-4249","contributorId":257000,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","middleInitial":"Marie","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":813664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":813665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Said, Ryan 0000-0002-8095-4204","orcid":"https://orcid.org/0000-0002-8095-4204","contributorId":257003,"corporation":false,"usgs":false,"family":"Said","given":"Ryan","email":"","affiliations":[{"id":51953,"text":"Vaisala, Inc.","active":true,"usgs":false}],"preferred":false,"id":813666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fee, David","contributorId":251816,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":813667,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holzworth, Robert H.","contributorId":210180,"corporation":false,"usgs":false,"family":"Holzworth","given":"Robert","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":813668,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813669,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227765,"text":"70227765 - 2020 - Mule deer habitat selection following vegetation thinning treatments in New Mexico","interactions":[],"lastModifiedDate":"2022-01-28T12:55:22.232514","indexId":"70227765","displayToPublicDate":"2020-02-06T06:52:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Mule deer habitat selection following vegetation thinning treatments in New Mexico","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Mule deer (<i>Odocoileus hemionus</i>) survival and population growth in north-central New Mexico, USA, was previously reported to be limited by nutritional constraints due to poor forage conditions in degraded habitats. Management recommendations suggested thinning of pinyon–juniper to improve habitat quality for mule deer. To evaluate the influence of these vegetation treatments, we monitored habitat selection by 48 adult female mule deer from 2011 to 2013 in a population previously reported to be nutritionally limited. Monitoring occurred 1–4 years after completion of treatments that were intended to improve forage conditions, including mechanical reduction of pinyon pine (<i>Pinus edulis</i>) and juniper (<i>Juniperus</i><span>&nbsp;</span>spp.) density and senescent brush (<i>Quercus gambelii–Cercocarpus montanus</i>) cover. During the summer season, deer selected recently treated areas, but odds ratios decreased with treatment age. However, during winter, deer avoided more recently treated areas and selected thinned areas &gt;4 years old. Deer selected mixed oak (<i>Quercus</i><span>&nbsp;</span>spp.) and pinyon–juniper savanna vegetation cover types with a moderately open canopy and ponderosa pine (<i>Pinus ponderosa</i>) forests while avoiding grasslands and montane shrublands across all seasons. Deer selected areas closer to water and developed areas, northeast aspects, on gentle slopes, and at lower elevations. Creating a savanna-like cover type may elicit a positive deer response as a result of their strong avoidance of dense, closed canopy pinyon–juniper woodlands. © 2020 The Wildlife Society.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1062","usgsCitation":"Sorensen, G.E., Kramer, D.W., Cain, J.W., Taylor, C.A., Gipson, P.S., Wallace, M.C., Cox, R., and Ballard, W.B., 2020, Mule deer habitat selection following vegetation thinning treatments in New Mexico: Wildlife Society Bulletin, v. 44, no. 1, p. 122-129, https://doi.org/10.1002/wsb.1062.","productDescription":"8 p.","startPage":"122","endPage":"129","ipdsId":"IP-092003","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":499849,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/eb0ec65f55144fa991e73fd2b0b42b3f","text":"External Repository"},{"id":395036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-105.998003,32.002328],[-106.099756,32.002492],[-106.125534,32.002533],[-106.18184,32.00205],[-106.200699,32.001785],[-106.205915,32.001762],[-106.313307,32.001512],[-106.376861,32.001172],[-106.377165,32.001177],[-106.394298,32.001484],[-106.411075,32.001334],[-106.565142,32.000736],[-106.566056,32.000759],[-106.587972,32.000749],[-106.595333,32.000778],[-106.598639,32.000754],[-106.599096,32.000731],[-106.618486,32.000495],[-106.619448,31.994733],[-106.623568,31.990999],[-106.631182,31.989809],[-106.636492,31.985719],[-106.639529,31.980348],[-106.638186,31.97682],[-106.630114,31.971258],[-106.626466,31.97069],[-106.623216,31.97291],[-106.621873,31.972933],[-106.619569,31.971578],[-106.618745,31.966955],[-106.619371,31.964777],[-106.620454,31.963403],[-106.624299,31.961054],[-106.625535,31.957476],[-106.625123,31.954531],[-106.622819,31.952891],[-106.617708,31.956008],[-106.614702,31.956],[-106.616136,31.948439],[-106.623659,31.94551],[-106.622377,31.940863],[-106.622117,31.936621],[-106.622529,31.934863],[-106.625322,31.930053],[-106.629747,31.92657],[-106.628663,31.923614],[-106.623933,31.925335],[-106.611846,31.920003],[-106.614346,31.918003],[-106.623445,31.914034],[-106.625947,31.912227],[-106.633668,31.90979],[-106.64084,31.904598],[-106.645479,31.89867],[-106.645646,31.895649],[-106.645296,31.894859],[-106.6429,31.892933],[-106.638154,31.891663],[-106.633927,31.889184],[-106.630692,31.886411],[-106.629197,31.883717],[-106.630799,31.879697],[-106.634873,31.874478],[-106.63588,31.871514],[-106.635926,31.866235],[-106.627808,31.860593],[-106.625763,31.856276],[-106.621857,31.852854],[-106.614637,31.84649],[-106.605845,31.846305],[-106.605245,31.845905],[-106.602045,31.844405],[-106.601945,31.839605],[-106.605267,31.827912],[-106.602727,31.825024],[-106.593826,31.824901],[-106.589045,31.822706],[-106.588045,31.822106],[-106.582144,31.815506],[-106.581344,31.813906],[-106.577244,31.810406],[-106.570944,31.810206],[-106.566844,31.813306],[-106.563444,31.812606],[-106.562945,31.811104],[-106.558444,31.810406],[-106.547144,31.807305],[-106.545344,31.805007],[-106.544714,31.804287],[-106.542144,31.802107],[-106.542097,31.802146],[-106.535843,31.798607],[-106.535343,31.797507],[-106.535154,31.797089],[-106.534743,31.796107],[-106.533043,31.791907],[-106.533,31.791829],[-106.53248,31.791914],[-106.530515,31.792103],[-106.527943,31.790507],[-106.527738,31.789761],[-106.527623,31.789119],[-106.527997,31.786945],[-106.528543,31.784407],[-106.528543,31.783907],[-106.750547,31.783706],[-106.750547,31.783898],[-106.993544,31.783689],[-106.998235,31.783671],[-107.00056,31.783679],[-107.00056,31.783513],[-107.296824,31.783762],[-107.422246,31.783599],[-107.422495,31.783599],[-108.208394,31.783599],[-108.208087,31.613489],[-108.208521,31.499798],[-108.208572,31.499742],[-108.208573,31.333395],[-108.707657,31.333191],[-108.788711,31.332365],[-108.851105,31.332301],[-108.861028,31.332315],[-109.050044,31.332502],[-109.050173,31.480004],[-109.049843,31.499515],[-109.049813,31.499528],[-109.049112,31.636598],[-109.049195,31.796551],[-109.048763,31.810776],[-109.049106,31.843715],[-109.048769,31.861383],[-109.04859,31.870791],[-109.048599,32.013651],[-109.048731,32.028174],[-109.048296,32.084093],[-109.048286,32.089114],[-109.047612,32.426377],[-109.047653,32.681379],[-109.047653,32.686327],[-109.047645,32.689988],[-109.047638,32.693439],[-109.047117,32.777569],[-109.047117,32.77757],[-109.04748,33.06842],[-109.047453,33.069427],[-109.046905,33.091931],[-109.047013,33.092917],[-109.047117,33.137559],[-109.047116,33.137995],[-109.047237,33.208965],[-109.04747,33.250063],[-109.046827,33.365272],[-109.046909,33.36557],[-109.047045,33.36928],[-109.04687,33.372654],[-109.046564,33.37506],[-109.047298,33.409783],[-109.046662,33.625055],[-109.047145,33.74001],[-109.046941,33.778233],[-109.046426,33.875052],[-109.047006,34.00005],[-109.046182,34.522393],[-109.046182,34.522553],[-109.046156,34.579291],[-109.046086,34.771016],[-109.045363,34.785406],[-109.046104,34.799981],[-109.045624,34.814226],[-109.046072,34.828566],[-109.045851,34.959718],[-109.046024,35.175499],[-109.046084,35.250025],[-109.046796,35.363606],[-109.046481,35.546326],[-109.046509,35.54644],[-109.046296,35.614251],[-109.046295,35.616517],[-109.046024,35.8798],[-109.046055,35.888721],[-109.046054,35.92586],[-109.046011,35.925896],[-109.045973,36.002338],[-109.045729,36.117028],[-109.046183,36.181751],[-109.045431,36.500001],[-109.045433,36.874589],[-109.045407,36.874998],[-109.045272,36.968871],[-109.045244,36.969489],[-109.045223,36.999084],[-108.958868,36.998913],[-108.954404,36.998906],[-108.620309,36.999287],[-108.619689,36.999249],[-108.379203,36.999459],[-108.320721,36.99951],[-108.320464,36.999499],[-108.2884,36.99952],[-108.288086,36.999555],[-108.250635,36.999561],[-108.249358,36.999015],[-108.000623,37.0000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Mexico\",\"nation\":\"USA  \"}}]}","volume":"44","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Sorensen, Grant E.","contributorId":41762,"corporation":false,"usgs":true,"family":"Sorensen","given":"Grant","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":832077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kramer, David W.","contributorId":255394,"corporation":false,"usgs":false,"family":"Kramer","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":47744,"text":"New York Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":832078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Chase A.","contributorId":107215,"corporation":false,"usgs":true,"family":"Taylor","given":"Chase","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":832080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gipson, Philip S.","contributorId":71495,"corporation":false,"usgs":true,"family":"Gipson","given":"Philip","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":832081,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wallace, Mark C.","contributorId":272545,"corporation":false,"usgs":false,"family":"Wallace","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":832082,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cox, Robert D.","contributorId":272546,"corporation":false,"usgs":false,"family":"Cox","given":"Robert D.","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":832083,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ballard, Warren B.","contributorId":172887,"corporation":false,"usgs":false,"family":"Ballard","given":"Warren","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":832084,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70211220,"text":"70211220 - 2020 - What's in the hump of the humpback chub?","interactions":[],"lastModifiedDate":"2020-07-17T21:00:52.088537","indexId":"70211220","displayToPublicDate":"2020-02-05T15:58:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"What's in the hump of the humpback chub?","docAbstract":"<p><span>The function of the nuchal hump on adult humpback chub (</span><i>Gila cypha</i><span>) has been the subject of longtime conjecture. Hypotheses about the purpose of the hump range from it being a feature that confers hydrodynamic advantages in swift water to speculation about how the hump may have reduced predation vulnerability to Colorado pikeminnows (</span><i>Ptychocheilus lucius</i><span>). We used comparative histology of the head region of captive-reared and wild specimens of humpback chub to evaluate whether histological examination could give insight into the function of the hump. Tissues were sectioned, stained, and photographed under a microscope at 2×, 4×, and 40× magnification. The hump is composed almost entirely of skeletal muscle, with little nervous system innervation or fatty tissue. Hump muscle and dorsal muscle appear very similar in terms of muscle cell size, fat content, and connective tissue content. No apparent differences exist between the hump tissues of wild-caught and captive-reared individuals. Histological analysis and study of the anatomical structure of the head through dissection, along with evidence from other species, suggest that the hump evolved to reduce predation vulnerability. Although the reason for the evolution of the hump in humpback chub remains uncertain, additional information about the composition of the hump can help to support or refute hypotheses related to its function.</span></p>","language":"English","publisher":"BioOne","doi":"10.3398/064.080.0112","usgsCitation":"Ward, D., and Ward, M.B., 2020, What's in the hump of the humpback chub?: Western North American Naturalist, v. 80, no. 1, p. 98-104, https://doi.org/10.3398/064.080.0112.","productDescription":"7 p.","startPage":"98","endPage":"104","ipdsId":"IP-102056","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":376500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ward, David 0000-0002-3355-0637","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":216231,"corporation":false,"usgs":true,"family":"Ward","given":"David","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":793250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, Michael B.","contributorId":182337,"corporation":false,"usgs":false,"family":"Ward","given":"Michael","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":793251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217719,"text":"70217719 - 2020 - Assessment of multi-stressors on compositional turnover of diatom, invertebrate and fish assemblages along an urban gradient in Pacific Northwest streams (USA)","interactions":[],"lastModifiedDate":"2021-02-03T21:25:51.384544","indexId":"70217719","displayToPublicDate":"2020-02-05T07:20:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of multi-stressors on compositional turnover of diatom, invertebrate and fish assemblages along an urban gradient in Pacific Northwest streams (USA)","docAbstract":"<p><span>This study is part of the regional stream-quality assessment (RSQA) conducted by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA) project. The purpose of this study is to examine small streams along land-use and stressor gradients at the regional scale and to evaluate the relative importance of instream stressors on diatom, macroinvertebrate, and fish assemblages. In 2015, the RSQA project assessed stream quality in 82 wadeable streams that were selected along an urban land-use gradient in the Pacific Northwest Region (PNW) of the United States. This study evaluates the effects of four major categories of measured instream stressors – flow (i.e. alteration), water quality, habitat, and contaminants (in water and sediment) – on stream biota. We used gradient forest (GF) models to evaluate taxon specific responses to the various stressors for the three biotic assemblages. Results for diatom, invertebrate and fish assemblages showed that several environmental variables including substrate size, dissolved oxygen, and two or more different contaminants were selected in each of the GF models. In general, all three assemblages were negatively associated with any contaminant measures above zero, except the more tolerant taxa in each assemblage, which responded positively to contaminants. Total nitrogen (TN) and total phosphorus (TP) were important in both the diatom and invertebrate GF models but not in the fish models, which were related to temperature and stream flow. TP and TN were the top two variables for diatom GF models and various taxa responded at a range of nutrient concentrations; however, some taxa responded at low concentrations, for example around 0.02 for TP and 0.5&nbsp;mg/L for TN. In general, the three biotic assemblages responded to multiple stressors following general patterns of known sensitive versus tolerant taxa for each of the biotic groups studied, yet the GF models allow us to explore taxon specific responses. For example, most of the sensitive Ephemeroptera, Plecoptera, Trichoptera invertebrate taxa (EPT) responded negatively when any contaminant increased above zero; yet some taxa such as the tolerant Trichoptera&nbsp;</span><i>Cheumatopsyche</i><span>&nbsp;responded positively to contaminants and many of the other stressors. The findings of this study demonstrate the value of using multiple assemblages to monitoring stressor gradients associated with urban stream systems and the importance of evaluating the responses of individual taxa to stressors.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.106047","usgsCitation":"Waite, I.R., Pan, Y., and Edwards, P., 2020, Assessment of multi-stressors on compositional turnover of diatom, invertebrate and fish assemblages along an urban gradient in Pacific Northwest streams (USA): Ecological Indicators, v. 112, 106047, 16 p., https://doi.org/10.1016/j.ecolind.2019.106047.","productDescription":"106047, 16 p.","ipdsId":"IP-110362","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":457842,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://pdxscholar.library.pdx.edu/esm_fac/296","text":"Publisher Index Page"},{"id":382783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Washington, Oregon","otherGeospatial":"Stream sites in Midwest Washington and Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.11279296875001,\n              48.86471476180277\n            ],\n            [\n              -123.26660156249999,\n              47.502358951968574\n            ],\n            [\n              -123.28857421875,\n              44.88701247981298\n            ],\n            [\n              -123.37646484374999,\n              43.197167282501276\n            ],\n            [\n              -121.83837890625,\n              43.35713822211053\n            ],\n            [\n              -121.59667968749999,\n              45.19752230305682\n            ],\n            [\n              -121.57470703125,\n              48.03401915864286\n            ],\n            [\n              -121.53076171875,\n              48.980216985374994\n            ],\n            [\n              -123.11279296875001,\n              48.86471476180277\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"112","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pan, Yangdong","contributorId":248559,"corporation":false,"usgs":false,"family":"Pan","given":"Yangdong","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":809364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Patrick","contributorId":248560,"corporation":false,"usgs":false,"family":"Edwards","given":"Patrick","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":809365,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208533,"text":"70208533 - 2020 - Holocene paleofloods and their climatological context, Upper Colorado River Basin, USA","interactions":[],"lastModifiedDate":"2020-10-12T16:45:28.837011","indexId":"70208533","displayToPublicDate":"2020-02-05T06:46:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5866,"text":"Progress in Physical Geography: Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Holocene paleofloods and their climatological context, Upper Colorado River Basin, USA","docAbstract":"Given its singular importance for water resources in the southwestern U.S., the Upper Colorado River Basin (UCRB) is remarkable for the paucity of its conventional hydrological record of extreme flooding.  This study uses paleoflood hydrology to examine a small portion the underutilized, but very extensive natural record of Holocene extreme floods in the UCRB.  We perform a meta-analysis of 77 extreme paleofloods from seven slackwater deposit sites in the UCRB to show linkages between Holocene climate patterns and extreme floods.  The analysis demonstrates several clusters of extreme flood activity: 8040-7790, 3600-3460, 2880-2740, 2330-700, and 620-0 years BP. The extreme paleofloods were found to occur during both dry and wet periods in the paleoclimate record.  When compared with independent paleoclimatic records across the Rocky Mountains and the southwestern U.S., the observed temporal clustering pattern of UCRB extreme paleofloods shows associations with periods of abruptly intensified North Pacific-derived storms connected with enhanced El Niño variability.","language":"English","publisher":"SAGE Journals","doi":"10.1177/0309133320904038","usgsCitation":"Liu, T., Ji, L., Baker, V.R., Harden, T.M., and Cline, M.L., 2020, Holocene paleofloods and their climatological context, Upper Colorado River Basin, USA: Progress in Physical Geography: Earth and Environment, v. 44, no. 5, p. 727-745, https://doi.org/10.1177/0309133320904038.","productDescription":"19 p.","startPage":"727","endPage":"745","ipdsId":"IP-114520","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":372335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.0703125,\n              36.56260003738545\n            ],\n            [\n              -114.521484375,\n              34.77771580360469\n            ],\n            [\n              -107.05078125,\n              34.59704151614417\n            ],\n            [\n              -105.2490234375,\n              36.24427318493909\n            ],\n            [\n              -104.4140625,\n              39.095962936305476\n            ],\n            [\n              -105.380859375,\n              41.64007838467894\n            ],\n            [\n              -106.962890625,\n              42.16340342422401\n            ],\n            [\n              -112.8955078125,\n              42.74701217318067\n            ],\n            [\n              -116.27929687499999,\n              42.61779143282346\n            ],\n            [\n              -118.5205078125,\n              40.81380923056958\n            ],\n            [\n              -118.3447265625,\n              38.37611542403604\n            ],\n            [\n              -117.0703125,\n              36.56260003738545\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Taojun","contributorId":201798,"corporation":false,"usgs":false,"family":"Liu","given":"Taojun","email":"","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":782311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ji, Lin","contributorId":222495,"corporation":false,"usgs":false,"family":"Ji","given":"Lin","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":782314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Victor R.","contributorId":201141,"corporation":false,"usgs":false,"family":"Baker","given":"Victor","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":782312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harden, Tessa M. 0000-0001-9854-1347 tharden@usgs.gov","orcid":"https://orcid.org/0000-0001-9854-1347","contributorId":192153,"corporation":false,"usgs":true,"family":"Harden","given":"Tessa","email":"tharden@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cline, Michael L.","contributorId":222494,"corporation":false,"usgs":false,"family":"Cline","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":40551,"text":"Rizzo and Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":782313,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208592,"text":"70208592 - 2020 - Preferential elution of ionic solutes in melting snowpacks: Improving process understanding through field observations and modeling in the Rocky Mountains","interactions":[],"lastModifiedDate":"2020-02-20T06:17:15","indexId":"70208592","displayToPublicDate":"2020-02-04T13:48:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Preferential elution of ionic solutes in melting snowpacks: Improving process understanding through field observations and modeling in the Rocky Mountains","docAbstract":"<p id=\"sp0065\">The preferential elution of ions from melting snowpacks is a complex problem that has been linked to temporary acidification of water bodies. However, the understanding of these processes in snowpacks around the world, including the polar regions that are experiencing unprecedented warming and melting, remains limited despite being instrumental in supporting climate change adaptation.</p><p id=\"sp0070\">In this study, data collected from a snowmelt lysimeter and snowpits at meadow and forest-gap sites in a high elevation watershed in Colorado were combined with the PULSE multi-phase snowpack chemistry model to investigate the controls of meltwater chemistry and preferential elution. The snowdepth at the meadow site was 64% of that at the forest-gap site, and the snowmelt rate was greater there (meadow snowpit) due to higher solar irradiance. Cations such as Ca<sup>2+</sup><span>&nbsp;</span>and NH<span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>+</mo></mrow></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">4+</span></span></span><span>&nbsp;</span>were deposited mostly within the upper layers of both the meadow and forest-gap snowpacks, and acid anions such as NO<span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>3</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>&amp;#x2212;</mo></mrow></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">3−</span></span></span><span>&nbsp;</span>and SO<span class=\"math\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn><mo is=&quot;true&quot;>&amp;#x2212;</mo></mrow></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">42−</span></span></span><span>&nbsp;</span>were more evenly distributed. The snow ion concentrations were generally greater at the forest-gap snowpit, except for NH<span class=\"math\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>+</mo></mrow></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">4+</span></span></span>, which indicates that wind erosion of wet and dry deposited ions from the meadow may have reduced concentrations of residual snow. Furthermore, at the forest-gap site, snow interception and scavenging processes such as sublimation, ventilation, and throughfall led to particular ion enrichment of Ca<sup>2+</sup>, Mg<sup>2+</sup>, K<sup>+</sup>, Cl<sup>−</sup>, SO<span class=\"math\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn><mo is=&quot;true&quot;>&amp;#x2212;</mo></mrow></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">42−</span></span></span><span>&nbsp;</span>and NO<span class=\"math\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>3</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>&amp;#x2212;</mo></mrow></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">3−</span></span></span>. Model simulations and observations highlight that preferential elution is enhanced by low snowmelt rates, with the model indicating that this is due to lower dilution rates and increased contact time and area between the percolating meltwater and the snow. Results suggest that low snowmelt rates can cause multiple early meltwater ionic pulses for ions subject to lower ion exclusion. Ion exclusion rates at the grain-size level have been estimated for the first time.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.136273","usgsCitation":"Costa, D., Sexstone, G.A., Pomeroy, J., Campbell, D.H., Clow, D.W., and Mast, M.A., 2020, Preferential elution of ionic solutes in melting snowpacks: Improving process understanding through field observations and modeling in the Rocky Mountains: Science of the Total Environment, v. 710, p. 1-15, https://doi.org/10.1016/j.scitotenv.2019.136273.","productDescription":"e136273, 15p.","startPage":"1","endPage":"15","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":457851,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.136273","text":"Publisher Index Page"},{"id":372422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Loch Vale, Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.6888198852539,\n              40.268786066239855\n            ],\n            [\n              -105.64633369445801,\n              40.268786066239855\n            ],\n            [\n              -105.64633369445801,\n              40.296221053139725\n            ],\n            [\n              -105.6888198852539,\n              40.296221053139725\n            ],\n            [\n              -105.6888198852539,\n              40.268786066239855\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"710","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Costa, Diogo","contributorId":222583,"corporation":false,"usgs":false,"family":"Costa","given":"Diogo","email":"","affiliations":[{"id":36491,"text":"Environment and Climate Change Canada, Saskatoon, SK","active":true,"usgs":false}],"preferred":false,"id":782639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sexstone, Graham A. 0000-0001-8913-0546 sexstone@usgs.gov","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":5159,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham","email":"sexstone@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pomeroy, J.W.","contributorId":49223,"corporation":false,"usgs":true,"family":"Pomeroy","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":782641,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Donald H. dhcampbe@usgs.gov","contributorId":1670,"corporation":false,"usgs":true,"family":"Campbell","given":"Donald","email":"dhcampbe@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":782642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782643,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782644,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70207558,"text":"pp1864 - 2020 - Groundwater availability of the Northern High Plains aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming","interactions":[],"lastModifiedDate":"2022-04-22T19:15:11.066381","indexId":"pp1864","displayToPublicDate":"2020-02-04T11:37:46","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1864","displayTitle":"Groundwater Availability of the Northern High Plains Aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming","title":"Groundwater availability of the Northern High Plains aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming","docAbstract":"<h1>Executive Summary</h1><p>The Northern High Plains aquifer underlies about 93,000 square miles of Colorado, Kansas, Nebraska, South Dakota, and Wyoming and is the largest subregion of the nationally important High Plains aquifer. Irrigation, primarily using groundwater, has supported agricultural production since before 1940, resulting in nearly $50 billion in sales in 2012. In 2010, the High Plains aquifer had the largest groundwater withdrawals of any major aquifer system in the United States. Nearly one-half of those withdrawals were from the Northern High Plains aquifer, which has little hydrologic interaction with parts of the aquifer farther south. Land-surface elevation ranges from more than 7,400 feet (ft) near the western edge to less than 1,100 ft near the eastern edge. Major stream primarily flow west to east and include the Big Blue River, Elkhorn River, Loup River, Niobrara River, Republican River and Platte River with its two forks—the North Platte River and South Platte River. Population in the Northern High Plain aquifer area is sparse with only 2 cities having a population greater than 30,000.</p><p>Droughts across much of the area from 2001 to 2007, combined with recent (2004–18) legislation, have heightened concerns regarding future groundwater availability and highlighted the need for science-based water-resource management. Groundwater models with the capability to provide forecasts of groundwater availability and related stream base flows from the Northern High Plains aquifer were published recently (2016) and were used to analyze groundwater availability. Stream base flows are generally the dominant component of total streamflow in the Northern High Plains aquifer, and total streamflows or shortages thereof define conjunctive management triggers, at least in Nebraska. Groundwater availability was evaluated through comparison of aquifer-scale water budgets compared for periods before and after major groundwater development and across selected future forecasts. Groundwater-level declines and the forecast amount of groundwater in storage in the aquifer also were examined.</p><h4>Major Findings</h4><ul><li>Aquifer losses to irrigation withdrawals increased greatly from 1940 to 2009 and were the largest average 2000–9 outflow (49 percent of total).</li><li>Basin to basin groundwater flows were not a large part of basin water budgets.</li><li>Development of irrigated land and associated withdrawals were not uniform across the Northern High Plains aquifer, and different parts of the Northern High Plains aquifer responded differently to agricultural development.</li><li>For the Northern High Plains aquifer, areas with high recharge and low evapotranspiration had the most streamflow, and most streams only remove water from the aquifer.</li><li>Results of a baseline future forecast indicated that groundwater levels declined overall, indicating an overdraft of the aquifer when climate was about average and agricultural development was held at the same state as 2009.</li><li>Results of two human stresses future forecasts indicated that increases of 13 percent or 23 percent in agricultural development, mostly near areas of previous development, caused increases in groundwater pumping of 8 percent or 11 percent, and resulted in continued groundwater-level declines, at rates 0.3 or 0.5 million acre-feet per year larger than the baseline forecast.</li><li>Results of environmental stresses forecasts (generated from two downscalings of global climate model outputs) compared with the baseline forecast indicated that even though annual precipitation was nearly the same, differences in temperature and a redistribution of precipitation from the spring to the growing season (from about May 1 through September 30), created a large (12–15 percent) decrease in recharge to the aquifer.</li><li>For the two environmental stresses forecasts, temperature and precipitation were distributed about the same among basins of the Northern High Plains aquifer, but the amounts were different.</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1864","collaboration":"Water Availability and Use Science Program","usgsCitation":"Peterson, S.M., Traylor, J.P., and Guira, M., 2020, Groundwater availability of the Northern High Plains aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming: U.S. Geological Survey Professional Paper 1864, 57 p., https://doi.org/10.3133/pp1864.","productDescription":"Report: x, 57 p.; Data Release","numberOfPages":"72","onlineOnly":"N","ipdsId":"IP-095605","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":399510,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109675.htm"},{"id":371832,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92UNY4F","text":"USGS data release","description":"USGS Data Release","linkHelpText":"MODFLOW–NWT groundwater flow model used to evaluate groundwater availability with five forecast scenarios in the Northern High Plains aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming"},{"id":371831,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1864/pp1864.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1864"},{"id":371830,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1864/coverthb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska, South Dakota, Wyoming","otherGeospatial":"Northern High Plains aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.1167,\n              38.5\n            ],\n            [\n              -96.00,\n              38.5\n            ],\n            [\n              -96.00,\n              43.5833\n            ],\n            [\n              -105.1167,\n              43.5833\n            ],\n            [\n              -105.1167,\n              38.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/ne-water\" href=\"https://www.usgs.gov/centers/ne-water\">Nebraska Water Science Center</a> <br>U.S. Geological Survey<br>5231 South 19th Street <br>Lincoln, NE 68512</p>","tableOfContents":"<ul><li>Foreword</li><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Methods of Analysis</li><li>Groundwater Availability of the Northern High Plains Aquifer</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-02-04","noUsgsAuthors":false,"publicationDate":"2020-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Steven M. 0000-0002-9130-1284 speterson@usgs.gov","orcid":"https://orcid.org/0000-0002-9130-1284","contributorId":847,"corporation":false,"usgs":true,"family":"Peterson","given":"Steven","email":"speterson@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Traylor, Jonathan P. 0000-0002-2008-1923 jtraylor@usgs.gov","orcid":"https://orcid.org/0000-0002-2008-1923","contributorId":5322,"corporation":false,"usgs":true,"family":"Traylor","given":"Jonathan","email":"jtraylor@usgs.gov","middleInitial":"P.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guira, Moussa 0000-0001-6020-533X","orcid":"https://orcid.org/0000-0001-6020-533X","contributorId":208456,"corporation":false,"usgs":true,"family":"Guira","given":"Moussa","email":"","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70220174,"text":"70220174 - 2020 - Mapping hotspots of potential ecosystem fragility using commonly available spatial data","interactions":[],"lastModifiedDate":"2021-04-23T12:13:51.166918","indexId":"70220174","displayToPublicDate":"2020-02-04T09:50:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Mapping hotspots of potential ecosystem fragility using commonly available spatial data","docAbstract":"<p id=\"sp0055\">Effective conservation requires prioritizing areas that are vulnerable to large, irreversible changes. Unfortunately, rigorously documenting these changes with experiments and long-term monitoring is not only costly, but may provide evidence that is too late to facilitate proactive decisions.</p><p id=\"sp0060\">We use a simple model to illustrate that commonly available short-term spatial, “snapshot”, data from a given ecosystem along an environmental gradient can be used to identify environmental conditions under which different ecosystem states (e.g. different species compositions) co-occur in space. These environmental conditions are those under which future perturbations have the potential for discontinuous large, sometimes irreversible, effects; and can be mapped in space to<span>&nbsp;</span><i>predict</i><span>&nbsp;</span>potential spatial hotspots of ecosystem fragility.</p><p id=\"sp0065\">We apply these insights to ecologically important high-elevation subalpine meadows of the Sierra Nevada (California). Our analysis reveals specific areas within meadows that may be more vulnerable than others because their plant communities have the potential to shift to a different state. These shifts can be mechanistically explained by interactions between the vegetation and the local water regimes and/or the upper soil conditions.</p><p id=\"sp0070\">Our study provides a simple workflow using commonly available data to help prioritize conservation areas based on their potential sensitivity to upcoming perturbations. Such an approach could be very valuable to make most efficient use of conservation and management resources in the context of ongoing global changes.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.108388","usgsCitation":"Genin, A., Lee, S.R., Berlow, E.L., Ostoja, S., and Kefi, S., 2020, Mapping hotspots of potential ecosystem fragility using commonly available spatial data: Biological Conservation, v. 241, 108388, 11 p., https://doi.org/10.1016/j.biocon.2019.108388.","productDescription":"108388, 11 p.","ipdsId":"IP-084595","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":457858,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2019.108388","text":"Publisher Index Page"},{"id":385279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia National Park, Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.90527343750001,\n              36.05798104702501\n            ],\n            [\n              -118.3447265625,\n              37.29153547292737\n            ],\n            [\n              -119.36645507812499,\n              38.30718056188316\n            ],\n            [\n              -119.81689453125,\n              38.324420427006544\n            ],\n            [\n              -120.047607421875,\n              37.83148014503288\n            ],\n            [\n              -119.937744140625,\n              37.32648861334206\n            ],\n            [\n              -119.278564453125,\n              36.77409249464195\n            ],\n            [\n              -118.94897460937499,\n              36.20882309283712\n            ],\n            [\n              -118.24584960937499,\n              35.47856499535729\n            ],\n            [\n              -117.87231445312499,\n              35.43381992014202\n            ],\n            [\n              -117.90527343750001,\n              36.05798104702501\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"241","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Genin, Alexandre","contributorId":192956,"corporation":false,"usgs":false,"family":"Genin","given":"Alexandre","email":"","affiliations":[],"preferred":false,"id":814635,"contributorType":{"id":1,"text":"Authors"},"rank":0},{"text":"Lee, Steven R. 0000-0002-4581-3684 srlee@usgs.gov","orcid":"https://orcid.org/0000-0002-4581-3684","contributorId":5630,"corporation":false,"usgs":true,"family":"Lee","given":"Steven","email":"srlee@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":814636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berlow, Eric L.","contributorId":91416,"corporation":false,"usgs":false,"family":"Berlow","given":"Eric","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":814637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostoja, Steven M.","contributorId":225183,"corporation":false,"usgs":false,"family":"Ostoja","given":"Steven M.","affiliations":[{"id":32922,"text":"USDA California Climate Hub","active":true,"usgs":false}],"preferred":false,"id":814638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kefi, Sonia","contributorId":257566,"corporation":false,"usgs":false,"family":"Kefi","given":"Sonia","affiliations":[{"id":37581,"text":"Université de Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":814639,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205930,"text":"fs20193064 - 2020 - Continuous nitrate monitoring in groundwater and potential contribution to surface-water nitrogen loads in Mason County, Illinois","interactions":[],"lastModifiedDate":"2022-04-19T21:47:50.406624","indexId":"fs20193064","displayToPublicDate":"2020-02-04T09:34:19","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3064","displayTitle":"Continuous Nitrate Monitoring in Groundwater and Potential Contribution to Surface-Water Nitrogen Loads in Mason County, Illinois","title":"Continuous nitrate monitoring in groundwater and potential contribution to surface-water nitrogen loads in Mason County, Illinois","docAbstract":"Illinois has some of the most productive farmland in the country. The use of fertilizers to improve crop production has increased, which has resulted in an increase in the concentration of nitrogen in many streams and aquifers. The U.S. Geological Survey, in cooperation with the Illinois Environmental Protection Agency, is continuously monitoring (one reading every 15 minutes) the concentration of nitrate plus nitrite, as nitrogen, in a groundwater well and assessing the potential contribution to surface-water nitrogen loads. Continuous monitoring of the nitrate concentration allows for the collection of a larger dataset in comparison to periodic or event-based sampling. This fact sheet describes the data collection methods, describes the overall experimental design, and displays data collected for the study. The analysis of continuous data improves understanding of the fate and transport of nitrate.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193064","collaboration":"Prepared in cooperation with Illinois Environmental Protection Agency","usgsCitation":"Gruhn, L.R., and Nalley, G.M., 2020, Continuous nitrate monitoring in groundwater and potential contribution to surface-water nitrogen loads in Mason County, Illinois: U.S. Geological Survey Fact Sheet 2019–3064, 4 p., https://doi.org/10.3133/fs20193064.","productDescription":"Report: 4 p.; Dataset","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-105761","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":371778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3064/coverthb2.jpg"},{"id":399142,"rank":4,"type":{"id":36,"text":"NGMDB Index 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<a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a> <br>U.S. Geological Survey <br>405 N. Goodwin Ave. <br>Urbana, Illinois 61801</p>","tableOfContents":"<ul><li>Background</li><li>Continuous Monitoring of Well (U.S. Geological Survey Station 401913089534501)</li><li>Ancillary Data</li><li>Nitrate Concentrations in Groundwater and Surface Water</li><li>References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-02-04","noUsgsAuthors":false,"publicationDate":"2020-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Gruhn, Lance R. 0000-0002-7120-3003 lgruhn@usgs.gov","orcid":"https://orcid.org/0000-0002-7120-3003","contributorId":219710,"corporation":false,"usgs":true,"family":"Gruhn","given":"Lance","email":"lgruhn@usgs.gov","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nalley, Greg M. 0000-0002-0151-0219","orcid":"https://orcid.org/0000-0002-0151-0219","contributorId":69650,"corporation":false,"usgs":true,"family":"Nalley","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":781000,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208599,"text":"70208599 - 2020 - The response of stream ecosystems in the Adirondack region of New York to historical and future changes in atmospheric deposition of sulfur and nitrogen","interactions":[],"lastModifiedDate":"2020-02-20T09:19:21","indexId":"70208599","displayToPublicDate":"2020-02-04T09:13:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The response of stream ecosystems in the Adirondack region of New York to historical and future changes in atmospheric deposition of sulfur and nitrogen","docAbstract":"<p><span>The present-day acid-base chemistry of surface waters can be directly linked to contemporary observations of acid deposition; however, pre-industrial conditions are key to predicting the potential future recovery of stream ecosystems under decreasing loads of atmospheric sulfur (S) and nitrogen (N) deposition. The integrated biogeochemical model PnET-BGC was applied to 25 forest watersheds that represent a range of acid sensitivity in the Adirondack region of New York, USA to simulate the response of streams to past and future changes in atmospheric S and N deposition, and calculate the target loads of acidity for protecting and restoring stream water quality and ecosystem health. Using measured data, the model was calibrated and applied to simulate soil and stream chemistry at all study sites. Model hindcasts indicate that historically stream water chemistry in the Adirondacks was variable, but inherently sensitive to acid deposition. The median model-simulated acid neutralizing capacity (ANC) of the streams was projected to be 55 μeq L</span><sup>−1</sup><span>&nbsp;before the advent of anthropogenic acid deposition (~1850), decreasing to minimum values of 10 μeq L</span><sup>−1</sup><span>&nbsp;around the year 2000. The median simulated ANC increased to 13 μeq L</span><sup>−1</sup><span>&nbsp;by 2015 in response to decreases in acid deposition that have occurred over recent decades. Model projections suggest that simultaneous decreases in sulfate, nitrate and ammonium deposition are more effective in restoring stream ANC than individual decreases in sulfur or nitrogen deposition. However, the increases in stream ANC per unit equivalent decrease in S deposition is greater compared to decreases in N deposition. Using empirical algorithms, fish community density and biomass are projected to increase under several deposition-control scenarios that coincide with increases in stream ANC. Model projections suggest that even under the most aggressive deposition-reduction scenarios, stream chemistry and fisheries will not fully recover from historical acidification by 2200.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.137113","usgsCitation":"Shao, S., Driscoll, C.T., Sullivan, T.J., Burns, D., Baldigo, B.P., Lawrence, G.B., and McDonnell, T.C., 2020, The response of stream ecosystems in the Adirondack region of New York to historical and future changes in atmospheric deposition of sulfur and nitrogen: Science of the Total Environment, v. 716, 137113, 12 p., https://doi.org/10.1016/j.scitotenv.2020.137113.","productDescription":"137113, 12 p.","ipdsId":"IP-109009","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":457861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.137113","text":"Publisher Index Page"},{"id":372447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.476318359375,\n              43.69965122967144\n            ],\n            [\n              -73.927001953125,\n              43.69965122967144\n            ],\n            [\n              -73.927001953125,\n              44.07969327425713\n            ],\n            [\n              -74.476318359375,\n              44.07969327425713\n            ],\n            [\n              -74.476318359375,\n              43.69965122967144\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"716","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shao, Shuai","contributorId":222597,"corporation":false,"usgs":false,"family":"Shao","given":"Shuai","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":782668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driscoll, Charles T.","contributorId":167460,"corporation":false,"usgs":false,"family":"Driscoll","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":782669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Timothy J.","contributorId":196720,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":782670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":782667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782671,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782672,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDonnell, Todd C. 0000-0002-5231-105X","orcid":"https://orcid.org/0000-0002-5231-105X","contributorId":196721,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":782673,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209595,"text":"70209595 - 2020 - Are migratory waterfowl vectors of seagrass pathogens?","interactions":[],"lastModifiedDate":"2023-11-08T16:03:55.424361","indexId":"70209595","displayToPublicDate":"2020-02-04T07:48:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Are migratory waterfowl vectors of seagrass pathogens?","docAbstract":"Migratory waterfowl vector plant seeds and other tissues, but little attention has focused on the potential of avian vectoring of plant pathogens.  Extensive meadows of eelgrass (Zostera marina) in southwest Alaska support hundreds of thousands of waterfowl during fall migration and may be susceptible to plant pathogens.  We recovered DNA of organisms pathogenic to eelgrass from environmental samples and in the cloacal contents of eight of nine waterfowl species that annually migrate along the Pacific coast of North America and Asia.  Coupled with a signal of asymmetrical gene flow of eelgrass running counter to that expected from oceanic and coastal currents between Large Marine Ecosystems, this evidence suggests waterfowl are vectors of eelgrass pathogens.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6039","usgsCitation":"Menning, D.M., Ward, D.H., Wyllie-Echeverria, S., Sage, K., Gravley, M.C., Gravley, H., and Talbot, S.L., 2020, Are migratory waterfowl vectors of seagrass pathogens?: Ecology and Evolution, v. 10, no. 4, p. 2062-2073, https://doi.org/10.1002/ece3.6039.","productDescription":"12 p.","startPage":"2062","endPage":"2073","ipdsId":"IP-108993","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":457864,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6039","text":"Publisher Index Page"},{"id":374006,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -166.46484375,\n              53.4357192066942\n            ],\n            [\n              -151.171875,\n              53.4357192066942\n            ],\n            [\n              -151.171875,\n              60.6301017662667\n            ],\n            [\n              -166.46484375,\n              60.6301017662667\n            ],\n            [\n              -166.46484375,\n              53.4357192066942\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Menning, Damian M. 0000-0003-3547-3062 dmenning@usgs.gov","orcid":"https://orcid.org/0000-0003-3547-3062","contributorId":205131,"corporation":false,"usgs":true,"family":"Menning","given":"Damian","email":"dmenning@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":787049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":787050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wyllie-Echeverria, Sandy","contributorId":224099,"corporation":false,"usgs":false,"family":"Wyllie-Echeverria","given":"Sandy","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":787051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sage, Kevin 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":139795,"corporation":false,"usgs":true,"family":"Sage","given":"Kevin","email":"ksage@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":787052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gravley, Megan C. 0000-0002-4947-0236 mgravley@usgs.gov","orcid":"https://orcid.org/0000-0002-4947-0236","contributorId":202812,"corporation":false,"usgs":true,"family":"Gravley","given":"Megan","email":"mgravley@usgs.gov","middleInitial":"C.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":787053,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gravley, Hunter","contributorId":224100,"corporation":false,"usgs":false,"family":"Gravley","given":"Hunter","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":787054,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":787055,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70219490,"text":"70219490 - 2020 - Understanding the effect of fire on vegetation composition and gross primary production in a semi-arid shrubland ecosystem using the Ecosystem Demography (EDv2.2) model","interactions":[],"lastModifiedDate":"2021-04-12T11:55:22.924404","indexId":"70219490","displayToPublicDate":"2020-02-04T06:39:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1012,"text":"Biogeosciences Discussions","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the effect of fire on vegetation composition and gross primary production in a semi-arid shrubland ecosystem using the Ecosystem Demography (EDv2.2) model","docAbstract":"Wildfires in sagebrush (Artemisia spp.) dominated semi-arid ecosystems in the western United States have increased dramatically in frequency and severity in the last few decades. Severe wildfires often lead to the loss of native sagebrush communities and change the biogeochemical conditions which make it difficult for sagebrush to regenerate. Invasion of cheat- grass (Bromus tectorum) accentuates the problem by making the ecosystem more susceptible to frequent burns. Managers have implemented several techniques to cope with the cheatgrass-fire cycle, ranging from controlling undesirable fire effects by removing fuel loads either mechanically or via prescribed burns, to seeding the fire-affected areas with shrubs and native perennial forbs. There have been a number of studies at local scales to understand the direct impacts of wildfire on vegetation, however, there is a larger gap in understanding these impacts at broad spatial and temporal scales. This need highlights the importance of dynamic global vegetation models (DGVMs) and remote sensing. In this study, we explored the influence of fir on vegetation composition and gross primary production (GPP) in the sagebrush ecosystem using the Ecosystem Demography (EDv2.2) model, a dynamic global vegetation model. We selected Reynolds Creek Experimental Watershed (RCEW) to run our simulation study, an intensively monitored sagebrush-dominated ecosystem in the northern Great Basin. We ran point-based simulations at four existing flux-tower sites in the study area for a total 150 years after turning on the fire module in the 25th year. Results suggest dominance of shrubs in a non-fire scenario, however under the fire scenario we observed contrasting phases of high and low shrub density and C3 grass growth. Regional model simulations showed a gradual decline in GPP for fire-introduced areas through the initial couple of years instead of killing all the vegetation in the affected area in the first year itself. We also compared the results from EDv2.2 with satellite-derived GPP estimates for the areas in RCEW burned by a wildfire in 2015 (Soda Fire). We observed moderate pixel-level correlations between maps of post-fire recovery EDv2.2 GPP and MODIS derived GPP. This study contributes to understanding the application of ecosystem models to investigate temporal dynamics of vegetation under alternative fire regimes and post-fire ecosystem restoration.","language":"English","publisher":"Copernicus","doi":"10.5194/bg-2019-510","usgsCitation":"Pandit, K., Dashti, H., Hudak, A., Glenn, N.F., Flores, A.N., and Shinneman, D.J., 2020, Understanding the effect of fire on vegetation composition and gross primary production in a semi-arid shrubland ecosystem using the Ecosystem Demography (EDv2.2) model: Biogeosciences Discussions, v. 18, no. 6, p. 2027-2045, https://doi.org/10.5194/bg-2019-510.","productDescription":"19 p.","startPage":"2027","endPage":"2045","ipdsId":"IP-115400","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-2019-510","text":"Publisher Index Page"},{"id":384956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.98242187499999,\n              42.13082130188811\n            ],\n            [\n              -114.08203125,\n              42.13082130188811\n            ],\n            [\n              -114.08203125,\n              44.68427737181225\n            ],\n            [\n              -116.98242187499999,\n              44.68427737181225\n            ],\n            [\n              -116.98242187499999,\n              42.13082130188811\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pandit, Karun","contributorId":221464,"corporation":false,"usgs":false,"family":"Pandit","given":"Karun","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dashti, Hamid","contributorId":257078,"corporation":false,"usgs":false,"family":"Dashti","given":"Hamid","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudak, Andrew A.","contributorId":257079,"corporation":false,"usgs":false,"family":"Hudak","given":"Andrew A.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":813798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glenn, Nancy F.","contributorId":195241,"corporation":false,"usgs":false,"family":"Glenn","given":"Nancy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":813799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flores, Alejandro N","contributorId":256965,"corporation":false,"usgs":false,"family":"Flores","given":"Alejandro","email":"","middleInitial":"N","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813800,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"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":813801,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208657,"text":"70208657 - 2020 - Meteotsunamis triggered by tropical cyclones","interactions":[],"lastModifiedDate":"2020-02-24T19:45:27","indexId":"70208657","displayToPublicDate":"2020-02-03T19:43:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Meteotsunamis triggered by tropical cyclones","docAbstract":"Tropical cyclones are one of the most destructive natural hazards and much of the damage and casualties they cause are flood-related. Accurate characterization and prediction of total water levels during extreme storms is necessary to minimize coastal impacts. While meteotsunamis are known to influence water levels and to produce severe consequences, they have been disregarded during tropical cyclones. This study demonstrates that meteotsunami waves commonly occur during tropical cyclones, and that they can significantly contribute to total water levels. We have discovered that the most extreme meteotsunami events were triggered by inherent features of the structure of tropical cyclones: inner and outer spiral rainbands. While outer distant spiral rainbands produced single-peak meteotsunami waves, inner spiral rainbands triggered longer lasting (~12 hours) wave trains on the front side of the tropical cyclones. We use an idealized coupled ocean-atmosphere-wave numerical model to analyze TC meteotsunami generation and propagation mechanisms.","language":"English","publisher":"Nature","doi":"10.1038/s41467-020-14423-9","usgsCitation":"Olabarrieta, M., Shi, L., Nolan, D., and Warner, J., 2020, Meteotsunamis triggered by tropical cyclones: Nature Communications, v. 11, 678, 14 p., https://doi.org/10.1038/s41467-020-14423-9.","productDescription":"678, 14 p.","ipdsId":"IP-107152","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457868,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-020-14423-9","text":"Publisher Index Page"},{"id":372595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.822265625,\n              28.613459424004414\n            ],\n            [\n              -96.328125,\n              27.137368359795584\n            ],\n            [\n              -94.5703125,\n              28.459033019728043\n            ],\n            [\n              -91.0546875,\n              28.536274512989916\n            ],\n            [\n              -88.154296875,\n              28.76765910569123\n            ],\n            [\n              -88.154296875,\n              29.6880527498568\n            ],\n            [\n              -86.044921875,\n              29.6880527498568\n            ],\n            [\n              -84.462890625,\n              29.152161283318915\n            ],\n            [\n              -83.75976562499999,\n              27.293689224852407\n            ],\n            [\n              -82.001953125,\n              24.5271348225978\n            ],\n            [\n              -79.716796875,\n              24.766784522874453\n            ],\n            [\n              -80.068359375,\n              28.459033019728043\n            ],\n            [\n              -79.541015625,\n              32.10118973232094\n            ],\n            [\n              -75.234375,\n              35.24561909420681\n            ],\n            [\n              -76.552734375,\n              36.24427318493909\n            ],\n            [\n              -78.134765625,\n              34.66935854524543\n            ],\n            [\n              -80.771484375,\n              32.76880048488168\n            ],\n            [\n              -85.95703125,\n              31.203404950917395\n            ],\n            [\n              -92.548828125,\n              30.90222470517144\n            ],\n            [\n              -97.822265625,\n              28.613459424004414\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":211373,"corporation":false,"usgs":false,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":782920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Luming","contributorId":222697,"corporation":false,"usgs":false,"family":"Shi","given":"Luming","email":"","affiliations":[{"id":40590,"text":"Civil and Coastal Engineering Department, ESSIE, University of Florida Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":782921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolan, David","contributorId":222698,"corporation":false,"usgs":false,"family":"Nolan","given":"David","email":"","affiliations":[{"id":40591,"text":"Rosenstiel School of Marine and Atmospheric Science, University of Miami Miami, FL 33149","active":true,"usgs":false}],"preferred":false,"id":782922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":782919,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211679,"text":"70211679 - 2020 - An aeolian grainflow model for Martian Recurring Slope Lineae","interactions":[],"lastModifiedDate":"2020-08-06T23:07:07.093979","indexId":"70211679","displayToPublicDate":"2020-02-03T18:05:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"An aeolian grainflow model for Martian Recurring Slope Lineae","docAbstract":"<p><span>Recurring Slope Lineae (RSL) on Mars have been enigmatic since their discovery; their behavior resembles a seeping liquid but sources of water remain puzzling. This work demonstrates that the properties of RSL are consistent with observed behaviors of Martian and terrestrial aeolian processes. Specifically, RSL are well-explained as flows of sand that remove a thin coating of dust. Observed RSL properties are supportive of or consistent with this model, which requires no liquid water or other exotic processes, but rather indicates seasonal aeolian behavior. These settings and behaviors resemble features observed by rovers and also explain the occurrence of many slope lineae on Mars that do not meet the strict definition of RSL. This indicates that RSL can be explained simply as aeolian features. Other processes may add complexities just as they could modify the behavior of any sand dune.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2020.113681","usgsCitation":"Dundas, C.M., 2020, An aeolian grainflow model for Martian Recurring Slope Lineae: Icarus, v. 343, 113681, 16 p., https://doi.org/10.1016/j.icarus.2020.113681.","productDescription":"113681, 16 p.","ipdsId":"IP-107848","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":457871,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2020.113681","text":"Publisher Index Page"},{"id":377143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"343","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":795041,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70210505,"text":"70210505 - 2020 - Shale gas development has limited effects on stream biology and geochemistry in a gradient-based, multiparameter study in Pennsylvania","interactions":[],"lastModifiedDate":"2020-06-05T15:53:47.823311","indexId":"70210505","displayToPublicDate":"2020-02-03T10:50:13","publicationYear":"2020","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":"Shale gas development has limited effects on stream biology and geochemistry in a gradient-based, multiparameter study in Pennsylvania","docAbstract":"The number of horizontally drilled shale oil and gas wells in the United States has increased from nearly 28,000 in 2007 to nearly 127,000 in 2017, and research has suggested the potential for the development of shale resources to affect nearby stream ecosystems. However, the ability to generalize current studies is limited by the small geographic scope as well as limited breadth and integration of measured chemical and biological indicators parameters. This study tested the hypothesis that a quantifiable, significant relationship exists between the density of oil and gas (OG) development, increasing streamwater concentrations of known geochemical tracers of OG extraction, and the composition of benthic macroinvertebrate and microbial communities. 25 headwater streams that drain lands across a gradient of shale gas development intensity were sampled. Our strategy included comprehensive measurements across multiple seasons of sampling to account for temporal variability of geochemical parameters, including known shale OG geochemical tracers, and microbial and benthic macroinvertebrate communities. No significant relationships were found between the intensity of OG development, shale OG geochemical tracers, or benthic macroinvertebrate or microbial community composition, whereas significant seasonal differences in stream chemistry were observed. These results highlight the importance of considering spatial and temporal variability in stream chemistry and biota and not only the presence of anthropogenic activities in a watershed. This comprehensive, integrated study of geochemical and biological variability of headwater streams in watersheds undergoing OG development provides a robust framework for examining the effects of energy development at a regional scale.","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1911458117","usgsCitation":"Mumford, A.C., Maloney, K.O., Akob, D., Nettemann, S., Proctor, A., Ditty, J., Ulsamer, L., Lookenbill, J., and Cozzarelli, I.M., 2020, Shale gas development has limited effects on stream biology and geochemistry in a gradient-based, multiparameter study in Pennsylvania: Proceedings of the National Academy of Sciences of the United States of America, v. 117, no. 7, p. 3670-3677, https://doi.org/10.1073/pnas.1911458117.","productDescription":"8 p.","startPage":"3670","endPage":"3677","ipdsId":"IP-108449","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":457886,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1911458117","text":"Publisher Index Page"},{"id":437126,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GJTRYR","text":"USGS data release","linkHelpText":"Sediment composition data from northern Pennsylvania"},{"id":375395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.189453125,\n              40.78054143186033\n            ],\n            [\n              -75.772705078125,\n              40.78054143186033\n            ],\n            [\n              -75.772705078125,\n              42.00848901572399\n            ],\n            [\n              -79.189453125,\n              42.00848901572399\n            ],\n            [\n              -79.189453125,\n              40.78054143186033\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"117","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":790443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":790444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":790445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nettemann, Sarah","contributorId":225122,"corporation":false,"usgs":false,"family":"Nettemann","given":"Sarah","email":"","affiliations":[{"id":41042,"text":"Friedrich Schiller University Jena, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":790446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Proctor, Arianne","contributorId":225123,"corporation":false,"usgs":false,"family":"Proctor","given":"Arianne","affiliations":[{"id":41043,"text":"Pennsylvania Department of Conservation and Natural Resources-Bureau of Forestry, Harrisburg, PA","active":true,"usgs":false}],"preferred":false,"id":790447,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ditty, Jason","contributorId":225124,"corporation":false,"usgs":false,"family":"Ditty","given":"Jason","email":"","affiliations":[{"id":41043,"text":"Pennsylvania Department of Conservation and Natural Resources-Bureau of Forestry, Harrisburg, PA","active":true,"usgs":false}],"preferred":false,"id":790448,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ulsamer, Luke","contributorId":225127,"corporation":false,"usgs":false,"family":"Ulsamer","given":"Luke","email":"","affiliations":[],"preferred":false,"id":790456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lookenbill, Josh","contributorId":203244,"corporation":false,"usgs":false,"family":"Lookenbill","given":"Josh","email":"","affiliations":[{"id":17703,"text":"Pennsylvania Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":790449,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":790450,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70206113,"text":"sir20195116 - 2020 - Simulation of water-management scenarios for the Mississippi Delta","interactions":[],"lastModifiedDate":"2022-04-25T18:41:20.950804","indexId":"sir20195116","displayToPublicDate":"2020-02-03T10:20:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5116","displayTitle":"Simulation of Water-Management Scenarios for the Mississippi Delta","title":"Simulation of water-management scenarios for the Mississippi Delta","docAbstract":"<p>To compare the effectiveness of proposed alternative water-supply scenarios on future water availability in the Mississippi Delta, the U.S. Geological Survey and the Mississippi Department of Environmental Quality are collaborating on the update and enhancement of an existing regional groundwater-flow model of the area. Through this collaboration, the model has been updated to include boundary conditions through March 2014 with the most recent water-use data, precipitation and recharge data, and streamflow and water-level observation data. The updated model has been used to evaluate selected alternative water-supply scenarios to determine relative effects on the Mississippi River Valley alluvial aquifer. Alternative water-supply options evaluated in this report include: (1) irrigation efficiency, (2) on-farm storage and tailwater recovery, (3) instream weirs to increase surface-water availability, (4) intrabasin transfer of surface water, and (5) groundwater transfer and injection. A relative comparison approach was used to calculate the simulated water-level response caused by each scenario. Water-level response is the difference between water levels simulated by the alternative water-supply scenario and those simulated by a base or “no action” scenario. Water-level response in the alluvial aquifer varied for each scenario based on the location, magnitude, and (or) adoption rates of the simulated alternative water-supply option. The groundwater transfer and injection scenario showed the largest water-level response.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20195116","collaboration":"Prepared in cooperation with the Mississippi Department of Environmental Quality","usgsCitation":"Haugh, C.J., Killian, C.D., and Barlow, J.R.B., 2020, Simulation of water-management scenarios for the Mississippi Delta: U.S. Geological Survey Scientific Investigations Report 2019–5116, 15 p., https://doi.org/10.3133/sir20195116.","productDescription":"Report: iv, 15 p.; Data Release","onlineOnly":"N","ipdsId":"IP-088687","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":399601,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109661.htm"},{"id":371205,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9906VM5","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW-2005 model used to evaluate water-management scenarios for the Mississippi Delta"},{"id":371202,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5116/coverthb.jpg"},{"id":371203,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5116/sir20195116.pdf","text":"Report","size":"5.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5116"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri","otherGeospatial":"Mississippi River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.69238281249999,\n              36.659606226479696\n            ],\n            [\n              -90.318603515625,\n              35.7019167328534\n            ],\n            [\n              -91.746826171875,\n              33.60546961227188\n            ],\n            [\n              -91.109619140625,\n              32.20350534542368\n            ],\n            [\n              -90.318603515625,\n              32.37996146435729\n            ],\n            [\n              -89.659423828125,\n              33.37641235124676\n            ],\n            [\n              -89.05517578125,\n              34.6241677899049\n            ],\n            [\n              -88.857421875,\n              35.85343961959182\n            ],\n            [\n              -89.69238281249999,\n              36.659606226479696\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/lmg-water/\" data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, Tennessee 37211</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Updates to the Regional Groundwater-Flow Model</li><li>Water-Management Scenarios</li><li>Model Limitations</li><li>Summary</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-02-03","noUsgsAuthors":false,"publicationDate":"2020-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Haugh, Connor J. 0000-0002-5204-8271","orcid":"https://orcid.org/0000-0002-5204-8271","contributorId":219945,"corporation":false,"usgs":true,"family":"Haugh","given":"Connor J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Killian, Courtney D. 0000-0002-2137-2722","orcid":"https://orcid.org/0000-0002-2137-2722","contributorId":213990,"corporation":false,"usgs":true,"family":"Killian","given":"Courtney","email":"","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":773630,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211049,"text":"70211049 - 2020 - Osmoregulatory role of the intestine in the sea lamprey (Petromyzon marinus)","interactions":[],"lastModifiedDate":"2020-07-13T13:43:01.891684","indexId":"70211049","displayToPublicDate":"2020-02-03T08:40:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":730,"text":"American Journal of Physiology - Regulatory, Integrative and Comparative Physiology","onlineIssn":"1522-1490","printIssn":"0363-6119","active":true,"publicationSubtype":{"id":10}},"title":"Osmoregulatory role of the intestine in the sea lamprey (Petromyzon marinus)","docAbstract":"Lampreys are the most basal vertebrates with an osmoregulatory strategy.   Previous research has established that salinity tolerance of sea lamprey increases dramatically during metamorphosis, but underlying changes in the gut have not been examined.  In the present work, we examined changes in intestinal function during metamorphosis and seawater exposure of sea lamprey (Petromyzon marinus).  Fully metamorphosed sea lamprey had 100 % survival after direct exposure to 35 ppt SW and only slight elevations in plasma chloride (Cl-) levels.  Drinking rates of sea lamprey juveniles in seawater were 26-fold higher than juveniles in FW.  Na+/K+-ATPase (NKA) activity in the anterior and posterior intestine increased 12- and 3-fold respectively during metamorphosis, whereas esophageal NKA activity was lower than in the intestine and did not change with development.  Acclimation to SW significantly enhanced NKA activity in the posterior intestine but did not significantly change NKA activity in the anterior intestine which remained higher than that in the posterior intestine.  Intestinal Cl- and water uptake, which was observed in ex vivo preparations of anterior and posterior intestine under both symmetric and asymmetric conditions, were higher in juveniles than in larvae and were similar in magnitude of those of teleost fish.  Inhibition of NKA by ouabain in ex vivo preparations inhibited intestinal water absorption by 64 %.  Our results suggest drinking and intestinal ion and water absorption are important to osmoregulation in SW, and that preparatory increases in intestinal NKA activity are important to the development of salinity tolerance that occurs during sea lamprey metamorphosis.","language":"English","publisher":"American Physiological Society","doi":"10.1152/ajpregu.00033.2019","usgsCitation":"Barany, A., Shaughnessy, C.A., Fuentes, J., Mancera, J.M., and McCormick, S.D., 2020, Osmoregulatory role of the intestine in the sea lamprey (Petromyzon marinus): American Journal of Physiology - Regulatory, Integrative and Comparative Physiology, v. 318, no. 2, p. R410-R417, https://doi.org/10.1152/ajpregu.00033.2019.","productDescription":"8 p.","startPage":"R410","endPage":"R417","ipdsId":"IP-098674","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":457892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1152/ajpregu.00033.2019","text":"Publisher Index Page"},{"id":376292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"318","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barany, Andre","contributorId":228958,"corporation":false,"usgs":false,"family":"Barany","given":"Andre","email":"","affiliations":[{"id":41532,"text":"Univ of Cadiz","active":true,"usgs":false}],"preferred":false,"id":792596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaughnessy, Ciaran A 0000-0003-2146-9126","orcid":"https://orcid.org/0000-0003-2146-9126","contributorId":228911,"corporation":false,"usgs":false,"family":"Shaughnessy","given":"Ciaran","email":"","middleInitial":"A","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":792597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuentes, Juan","contributorId":228959,"corporation":false,"usgs":false,"family":"Fuentes","given":"Juan","email":"","affiliations":[{"id":41533,"text":"Univ Algarve","active":true,"usgs":false}],"preferred":false,"id":792598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mancera, Juan M","contributorId":228960,"corporation":false,"usgs":false,"family":"Mancera","given":"Juan","email":"","middleInitial":"M","affiliations":[{"id":41534,"text":"Univ Cadiz","active":true,"usgs":false}],"preferred":false,"id":792599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":792600,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211512,"text":"70211512 - 2020 - Characterization of pallid sturgeon (Scaphirhynchus albus) spawning habitat in the Lower Missouri River","interactions":[],"lastModifiedDate":"2020-07-30T14:23:47.074825","indexId":"70211512","displayToPublicDate":"2020-02-03T08:21:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Characterization of pallid sturgeon (<i>Scaphirhynchus albus</i>) spawning habitat in the Lower Missouri River","title":"Characterization of pallid sturgeon (Scaphirhynchus albus) spawning habitat in the Lower Missouri River","docAbstract":"Acipenseriformes (sturgeons and paddlefish) globally have declined throughout their range due to river fragmentation, habitat loss, overfishing, and degradation of water quality. In North America, pallid sturgeon (Scaphirhynchus albus) populations have experienced poor to no recruitment, or substantial levels of hybridization with the closely related shovelnose sturgeon (S. platorynchus). The Lower Missouri River is the only portion of the species’ range where successful reproduction and recruitment of genetically pure pallid sturgeon have been documented. This paper documents spawning habitat and behavior on the Lower Missouri River, which comprises over 1,300 km of unfragmented river habitat. The objective of this study was to determine spawning locations and describe habitat characteristics and environmental conditions (depth, water velocity, substrate, discharge, temperature, and turbidity) on the Lower Missouri River. We measured habitat characteristics for spawning events of ten telemetry‐tagged female pallid sturgeon from 2008–2013 that occurred in discrete reaches distributed over hundreds of kilometers. These results show pallid sturgeon select deep and fast areas in or near the navigation channel along outside revetted banks for spawning. These habitats are deeper and faster than nearby river habitats within the surrounding river reach. Spawning patches have a mean depth of 6.6 m and a mean depth‐averaged water‐column velocity of 1.4 m per second. Substrates in spawning patches consist of coarse bank revetment, gravel, sand, and bedrock. Results indicate habitat used by pallid sturgeon for spawning is more common and widespread in the present‐day channelized Lower Missouri River relative to the sparse and disperse coarse substrates available prior to channelization. Understanding the spawning habitats currently utilized on the Lower Missouri River and if they are functioning properly is important for improving habitat remediation measures aimed at increasing reproductive success. Recovery efforts for pallid sturgeon on the Missouri River, if successful, can provide guidance to sturgeon recovery on other river systems; particularly large, regulated, and channelized rivers.","language":"English","publisher":"Wiley","doi":"10.1111/jai.13994","usgsCitation":"Elliott, C.M., Delonay, A.J., Chojnacki, K., and Jacobson, R.B., 2020, Characterization of pallid sturgeon (Scaphirhynchus albus) spawning habitat in the Lower Missouri River: Journal of Applied Ichthyology, v. 36, no. 1, p. 25-38, https://doi.org/10.1111/jai.13994.","productDescription":"14 p.","startPage":"25","endPage":"38","ipdsId":"IP-108789","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":457894,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13994","text":"Publisher Index Page"},{"id":437128,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7639P23","text":"USGS data release","linkHelpText":"Pallid Sturgeon Spawning Habitat in the Lower Missouri River"},{"id":376836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri, Nebraska, Wyoming, Montana, North Dakota, South Dakota","otherGeospatial":"Missouri River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.97753906249999,\n              38.75408327579141\n            ],\n            [\n              -96.6796875,\n              43.67581809328341\n            ],\n            [\n              -99.5361328125,\n              48.019324184801185\n            ],\n            [\n              -101.5576171875,\n              48.922499263758255\n            ],\n            [\n              -114.82910156249999,\n              49.095452162534826\n            ],\n            [\n              -108.5009765625,\n              42.8115217450979\n            ],\n            [\n              -97.2509765625,\n              40.44694705960048\n            ],\n            [\n              -91.97753906249999,\n              38.75408327579141\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":794428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLonay, Aaron J. 0000-0002-3752-2799 adelonay@usgs.gov","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":2725,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"adelonay@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":794429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chojnacki, Kimberly 0000-0001-6091-3977 kchojnacki@usgs.gov","orcid":"https://orcid.org/0000-0001-6091-3977","contributorId":221080,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":794430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":794431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}