{"pageNumber":"644","pageRowStart":"16075","pageSize":"25","recordCount":184634,"records":[{"id":70222500,"text":"70222500 - 2020 - A machine learning approach to developing ground motion models from simulated ground motions","interactions":[],"lastModifiedDate":"2021-07-30T12:47:26.178465","indexId":"70222500","displayToPublicDate":"2020-02-24T07:44:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"A machine learning approach to developing ground motion models from simulated ground motions","docAbstract":"<div class=\"article-section__content en main\"><p>We use a machine learning approach to build a ground motion model (GMM) from a synthetic database of ground motions extracted from the Southern California CyberShake study. An artificial neural network is used to find the optimal weights that best fit the target data (without overfitting), with input parameters chosen to match that of state-of-the-art GMMs. We validate our synthetic-based GMM with empirically based GMMs derived from the globally based Next Generation Attenuation West2 data set, finding near-zero median residuals and similar amplitude and trends (with period) of total variability. Additionally, we find that the artificial neural network GMM has similar bias and variability to empirical GMMs from records of the recent<span>&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/3b5d00e5-0a30-4f89-b352-4e759f0e46f2/grl60306-math-0001.png\" alt=\"urn:x-wiley:grl:media:grl60306:grl60306-math-0001\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/3b5d00e5-0a30-4f89-b352-4e759f0e46f2/grl60306-math-0001.png\"><span>&nbsp;</span>Ridgecrest event, which neither GMM has included in its formulation. As simulations continue to better model broadband ground motions, machine learning provides a way to utilize the vast amount of synthetically generated data and guide future parameterization of GMMs.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL086690","usgsCitation":"Withers, K., Moschetti, M.P., and Thompson, E.M., 2020, A machine learning approach to developing ground motion models from simulated ground motions: Geophysical Research Letters, v. 47, no. 6, e2019GL086690, 9 p., https://doi.org/10.1029/2019GL086690.","productDescription":"e2019GL086690, 9 p.","ipdsId":"IP-116117","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":387574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.091796875,\n              33.815666308702774\n            ],\n            [\n              -117.31201171875001,\n              32.34284135639302\n            ],\n            [\n              -114.345703125,\n              32.69486597787505\n            ],\n            [\n              -113.7744140625,\n              34.45221847282654\n            ],\n            [\n              -119.091796875,\n              34.45221847282654\n            ],\n            [\n              -119.091796875,\n              33.815666308702774\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Withers, Kyle 0000-0001-7863-3930","orcid":"https://orcid.org/0000-0001-7863-3930","contributorId":203492,"corporation":false,"usgs":true,"family":"Withers","given":"Kyle","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820322,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260216,"text":"70260216 - 2020 - Spatial and temporal variations in SO2 and PM2.5 levels around Kīlauea volcano, Hawai'i during 2007–2018","interactions":[],"lastModifiedDate":"2024-10-30T11:39:49.568353","indexId":"70260216","displayToPublicDate":"2020-02-24T06:37:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variations in SO2 and PM2.5 levels around Kīlauea volcano, Hawai'i during 2007–2018","docAbstract":"<div class=\"JournalAbstract\"><p>Among the hazards posed by volcanoes are the emissions of gases and particles that can affect air quality and damage agriculture and infrastructure. A recent intense episode of volcanic degassing associated with severe impacts on air quality accompanied the 2018 lower East Rift Zone (LERZ) eruption of Kīlauea volcano, Hawai'i. This resulted in a major increase in gas emission rates with respect to usual emission values for this volcano, along with a shift in the source of the dominant plume to a populated area on the lower flank of the volcano. This led to reduced air quality in downwind communities. We analyse open-access data from the permanent air quality monitoring networks operated by the Hawai'i Department of Health (HDOH) and National Park Service (NPS), and report on measurements of atmospheric sulfur dioxide (SO<sub>2</sub>) between 2007 and 2018 and PM<sub>2.5</sub><span>&nbsp;</span>(aerosol particulate matter with diameter &lt;2.5 μm) between 2010 and 2018. Additional air quality data were collected through a community-operated network of low-cost PM<sub>2.5</sub><span>&nbsp;</span>sensors during the 2018 LERZ eruption. From 2007 to 2018 the two most significant escalations in Kīlauea's volcanic emissions were: the summit eruption that began in 2008 (Kīlauea emissions averaged 5–6 kt/day SO<sub>2</sub><span>&nbsp;</span>from 2008 until summit activity decreased in May 2018) and the LERZ eruption in 2018 when SO<sub>2</sub><span>&nbsp;</span>emission rates reached a monthly average of 200 kt/day during June. In this paper we focus on characterizing the airborne pollutants arising from the 2018 LERZ eruption and the spatial distribution and severity of volcanic air pollution events across the Island of Hawai'i. The LERZ eruption caused the most frequent and severe exceedances of the Environmental Protection Agency (EPA) PM<sub>2.5</sub><span>&nbsp;</span>air quality threshold (35 μg/m<sup>3</sup><span>&nbsp;</span>as a daily average) in Hawai'i in the period 2010–2018. In Kona, for example, the maximum 24-h-mean mass concentration of PM<sub>2.5</sub><span>&nbsp;</span>was recorded as 59 μg/m<sup>3</sup><span>&nbsp;</span>on the twenty-ninth of May 2018, which was one of eight recorded exceedances of the EPA air quality threshold during the 2018 LERZ eruption, where there had been no exceedances in the previous 8 years as measured by the HDOH and NPS networks. SO<sub>2</sub><span>&nbsp;</span>air pollution during the LERZ eruption was most severe in communities in the south and west of the island, as measured by selected HDOH and NPS stations in this study, with a maximum 24-h-mean mass concentration of 728 μg/m<sup>3</sup><span>&nbsp;</span>recorded in Ocean View (100 km west of the LERZ emission source) in May 2018. Data from the low-cost sensor network correlated well with data from the HDOH PM<sub>2.5</sub><span>&nbsp;</span>instruments, confirming that these low-cost sensors provide a robust means to augment reference-grade instrument networks.</p></div>","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2020.00036","usgsCitation":"Whitty, R., Ilyinskaya, E., Mason, E., Wieser, P., Liu, E.J., Schmidt, A., Roberts, T., Pfeffer, M., Brooks, B., Mather, T., Edmonds, M., Elias, T., Schneider, D.J., Oppenheimer, C., Dybwad, A., Nadeau, P.A., and Kern, C., 2020, Spatial and temporal variations in SO2 and PM2.5 levels around Kīlauea volcano, Hawai'i during 2007–2018: Frontiers in Earth Science, v. 8, 36, 17 p., https://doi.org/10.3389/feart.2020.00036.","productDescription":"36, 17 p.","ipdsId":"IP-113251","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467296,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.00036","text":"Publisher Index Page"},{"id":463411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.5280575771671,\n              19.636187244535606\n            ],\n            [\n              -155.5280575771671,\n              19.167002726002252\n            ],\n            [\n              -154.9496591158342,\n              19.167002726002252\n            ],\n            [\n              -154.9496591158342,\n              19.636187244535606\n            ],\n            [\n              -155.5280575771671,\n              19.636187244535606\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Whitty, R.C.W.","contributorId":345714,"corporation":false,"usgs":false,"family":"Whitty","given":"R.C.W.","email":"","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":917429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ilyinskaya, E.","contributorId":149561,"corporation":false,"usgs":false,"family":"Ilyinskaya","given":"E.","affiliations":[],"preferred":false,"id":917430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, E.","contributorId":203830,"corporation":false,"usgs":false,"family":"Mason","given":"E.","email":"","affiliations":[{"id":36727,"text":"Engility Corp.","active":true,"usgs":false}],"preferred":false,"id":917431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wieser, P.E.","contributorId":345707,"corporation":false,"usgs":false,"family":"Wieser","given":"P.E.","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":917432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, E. J.","contributorId":345710,"corporation":false,"usgs":false,"family":"Liu","given":"E.","email":"","middleInitial":"J.","affiliations":[{"id":6957,"text":"University College London","active":true,"usgs":false}],"preferred":false,"id":917433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmidt, A.","contributorId":345760,"corporation":false,"usgs":false,"family":"Schmidt","given":"A.","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":917434,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roberts, T.J.","contributorId":198344,"corporation":false,"usgs":false,"family":"Roberts","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":917435,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pfeffer, M.A.","contributorId":345761,"corporation":false,"usgs":false,"family":"Pfeffer","given":"M.A.","email":"","affiliations":[{"id":35138,"text":"Icelandic Meteorological Office, Reykjavik, Iceland","active":true,"usgs":false}],"preferred":false,"id":917436,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brooks, Barbara","contributorId":147676,"corporation":false,"usgs":false,"family":"Brooks","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":917437,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mather, T.A.","contributorId":345716,"corporation":false,"usgs":false,"family":"Mather","given":"T.A.","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":917438,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Edmonds, M.","contributorId":345712,"corporation":false,"usgs":false,"family":"Edmonds","given":"M.","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":917439,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917440,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"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":917441,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Oppenheimer, C.","contributorId":345727,"corporation":false,"usgs":false,"family":"Oppenheimer","given":"C.","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":917442,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Dybwad, A.","contributorId":345762,"corporation":false,"usgs":false,"family":"Dybwad","given":"A.","email":"","affiliations":[{"id":82704,"text":"PurpleAir LLC, Salt Lake City, Utah, United States","active":true,"usgs":false}],"preferred":false,"id":917443,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nadeau, Patricia A. 0000-0002-6732-3686","orcid":"https://orcid.org/0000-0002-6732-3686","contributorId":215616,"corporation":false,"usgs":true,"family":"Nadeau","given":"Patricia","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917444,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":917445,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70208959,"text":"70208959 - 2020 - An experimental study of longitudinal incisional grooves in a mixed bedrock-alluvial channel","interactions":[],"lastModifiedDate":"2020-03-09T12:02:08","indexId":"70208959","displayToPublicDate":"2020-02-23T11:58:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"An experimental study of longitudinal incisional grooves in a mixed bedrock-alluvial channel","docAbstract":"<p><span>Natural bedrock rivers have various bedforms created by erosion. Flow‐parallel incisional grooves formed longitudinally in bedrock are one common example of such bedforms. Although several studies have been conducted regarding these grooves, their formation processes are not well understood. In this study, we conducted a flume experiment to investigate the relationship between the flow structure and longitudinal grooves. The experimental results strongly suggest that longitudinal grooves are formed by moving sediment concentrated in multiple longitudinal pathways by turbulence‐driven secondary flows. The sediment preferentially abrades the bedrock along these flow‐parallel pathways resulting in longitudinal grooves in the bedrock. Measurements of the flow velocity distribution show that the positions of secondary flow cells producing the initial formation of the grooves are altered by the formation of those grooves. Because displaced secondary flows tend to make the sediment collide with the sidewalls of the longitudinal grooves, the grooves grow wider over time and some grooves partially combine with other adjacent grooves. The initial maximum number of longitudinal grooves&nbsp;</span><span><i>N</i><sub><i>max</i></sub></span><span>&nbsp;strongly depends on the river width‐depth ratio&nbsp;</span><span><i>B</i>/<i>D</i></span><span>, which defines the number of secondary flow cells, and can be expressed as&nbsp;</span><span><i>N</i><sub><i>max</i></sub>&nbsp;=&nbsp;0.5<i>B</i>/<i>D</i></span><span>. However, because some grooves coalesce with other grooves due to the effects of the displacement of secondary flows, the average number of grooves showed a relationship that can be expressed as&nbsp;</span><span><i>N</i>&nbsp;=&nbsp;0.41<i>B</i>/<i>D</i></span><span>. Based on this relationship, we inversely estimated the flow discharge of the Abashiri River using the number of longitudinal grooves observed in the river. The result was consistent with the observed annual maximum flow discharge of the river. This suggests that the number of longitudinal grooves can be used as an indicator for estimation of the formative flow discharge in bedrock rivers.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019WR025410","usgsCitation":"Inoue, T., and Nelson, J.M., 2020, An experimental study of longitudinal incisional grooves in a mixed bedrock-alluvial channel: Water Resources Research, v. 56, no. 3, e2019WR025410, 16 p., https://doi.org/10.1029/2019WR025410.","productDescription":"e2019WR025410, 16 p.","ipdsId":"IP-107443","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":487492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019wr025410","text":"Publisher Index Page"},{"id":373013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Inoue, Takuya","contributorId":173794,"corporation":false,"usgs":false,"family":"Inoue","given":"Takuya","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":784200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":784199,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70218290,"text":"70218290 - 2020 - Preparing for geophysical science on the surface of the moon enabled by Artemis","interactions":[],"lastModifiedDate":"2021-02-23T14:16:55.681356","indexId":"70218290","displayToPublicDate":"2020-02-23T07:45:44","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Preparing for geophysical science on the surface of the moon enabled by Artemis","docAbstract":"Geophysical methods have been extremely successful in identifying resources on Earth as they provide a means of characterizing and mapping the sub-surface using data gathered on and above the target structures. Geophysics on the Moon will be an important tool for identifying key targets for geological prospecting, scientific sampling, assessing hazards and risks to crew and infrastructure, and determining the near subsurface and deeper workings of the lunar interior. Artemis will require 21st century geophysics instruments to advance lunar science and exploration, similar to how Apollo gathered geophysical data that is still leading to scientific discoveries 50 years later.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Artemis III Science Definition Team White Papers","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"conferenceTitle":"Lunar Surface Science Workshop 2020","language":"English","publisher":"NASA","collaboration":"NASA","usgsCitation":"Schmerr, N., Richardson, J.A., Ghent, R., Seigler, M., Wasser, M., Wheeley, P., Buczkowski, D., Carter, L., Connor, C., Connor, L., Bleacher, J.E., Fouch, M., Baker, D., Hurford, T., Jozwiak, L., Kruse, S., Lekic, V., Naids, A., Porter, R., Montesi, L., Richardson, D., Rumpf, M.E., Sunshine, J., Schorghofer, N., Goossens, S., Whelley, N., Wyrick, D., Zhu, W., Bell, E., DeMartini, J., Coan, D., Akin, D., Cohen, B., Mazarico, E., Neal, C., Panning, M., Petro, N., Strauss, B., Weber, R., Glotch, T., Hendrix, A., Parker, A., and Wright, S., 2020, Preparing for geophysical science on the surface of the moon enabled by Artemis, 2 p.","productDescription":"2 p.","ipdsId":"IP-122493","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":383599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383582,"type":{"id":15,"text":"Index Page"},"url":"https://www.hou.usra.edu/meetings/lunarsurface2020/pdf/5048.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmerr, Nicholas","contributorId":210373,"corporation":false,"usgs":false,"family":"Schmerr","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":810832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, Jacob A.","contributorId":194357,"corporation":false,"usgs":false,"family":"Richardson","given":"Jacob","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":810833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ghent, R.","contributorId":32388,"corporation":false,"usgs":true,"family":"Ghent","given":"R.","email":"","affiliations":[],"preferred":false,"id":810834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seigler, Matt","contributorId":251931,"corporation":false,"usgs":false,"family":"Seigler","given":"Matt","email":"","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":810835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wasser, Molly","contributorId":251932,"corporation":false,"usgs":false,"family":"Wasser","given":"Molly","email":"","affiliations":[{"id":50426,"text":"Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":810836,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wheeley, Patrick","contributorId":251933,"corporation":false,"usgs":false,"family":"Wheeley","given":"Patrick","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":810837,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buczkowski, D.","contributorId":251934,"corporation":false,"usgs":false,"family":"Buczkowski","given":"D.","affiliations":[{"id":47710,"text":"Johns Hopkins Applied Physics Lab","active":true,"usgs":false}],"preferred":false,"id":810838,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carter, Lynne","contributorId":212191,"corporation":false,"usgs":false,"family":"Carter","given":"Lynne","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":810839,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Connor, Chuck","contributorId":139921,"corporation":false,"usgs":false,"family":"Connor","given":"Chuck","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":810840,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Connor, Laura","contributorId":139922,"corporation":false,"usgs":false,"family":"Connor","given":"Laura","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":810841,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bleacher, Jacob E.","contributorId":145705,"corporation":false,"usgs":false,"family":"Bleacher","given":"Jacob","email":"","middleInitial":"E.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":810842,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fouch, M.","contributorId":251939,"corporation":false,"usgs":false,"family":"Fouch","given":"M.","email":"","affiliations":[{"id":50427,"text":"Samara/Data","active":true,"usgs":false}],"preferred":false,"id":810843,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Baker, D.","contributorId":251940,"corporation":false,"usgs":false,"family":"Baker","given":"D.","affiliations":[{"id":50426,"text":"Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":810844,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hurford, T.","contributorId":251941,"corporation":false,"usgs":false,"family":"Hurford","given":"T.","affiliations":[{"id":50426,"text":"Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":810845,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Jozwiak, 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Maryland","active":true,"usgs":false}],"preferred":false,"id":810852,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Rumpf, M. Elise 0000-0001-7906-2623","orcid":"https://orcid.org/0000-0001-7906-2623","contributorId":217992,"corporation":false,"usgs":true,"family":"Rumpf","given":"M.","email":"","middleInitial":"Elise","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810853,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sunshine, J.","contributorId":251950,"corporation":false,"usgs":false,"family":"Sunshine","given":"J.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":810855,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Schorghofer, Norbert","contributorId":196619,"corporation":false,"usgs":false,"family":"Schorghofer","given":"Norbert","email":"","affiliations":[{"id":24732,"text":"Planetary Science Institute, Tucson","active":true,"usgs":false}],"preferred":false,"id":810854,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Goossens, S.","contributorId":251951,"corporation":false,"usgs":false,"family":"Goossens","given":"S.","email":"","affiliations":[{"id":50426,"text":"Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":810856,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Whelley, Nicole","contributorId":251952,"corporation":false,"usgs":false,"family":"Whelley","given":"Nicole","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":810857,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Wyrick, D.","contributorId":251953,"corporation":false,"usgs":false,"family":"Wyrick","given":"D.","email":"","affiliations":[{"id":36712,"text":"Southwest Research Institute","active":true,"usgs":false}],"preferred":false,"id":810858,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Zhu, 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E.","contributorId":251960,"corporation":false,"usgs":false,"family":"Mazarico","given":"E.","affiliations":[{"id":50426,"text":"Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":810865,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Neal, Clive","contributorId":251961,"corporation":false,"usgs":false,"family":"Neal","given":"Clive","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":810866,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Panning, M.","contributorId":251962,"corporation":false,"usgs":false,"family":"Panning","given":"M.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":810867,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Petro, Noah","contributorId":251963,"corporation":false,"usgs":false,"family":"Petro","given":"Noah","affiliations":[{"id":50426,"text":"Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":810868,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Strauss, B.","contributorId":251964,"corporation":false,"usgs":false,"family":"Strauss","given":"B.","email":"","affiliations":[{"id":50426,"text":"Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":810869,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Weber, Renee","contributorId":251965,"corporation":false,"usgs":false,"family":"Weber","given":"Renee","affiliations":[{"id":50429,"text":"Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":810870,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Glotch, T.","contributorId":251966,"corporation":false,"usgs":false,"family":"Glotch","given":"T.","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":810871,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Hendrix, A.","contributorId":251967,"corporation":false,"usgs":false,"family":"Hendrix","given":"A.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":810872,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Parker, A.","contributorId":251968,"corporation":false,"usgs":false,"family":"Parker","given":"A.","affiliations":[{"id":36712,"text":"Southwest Research Institute","active":true,"usgs":false}],"preferred":false,"id":810873,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Wright, Sarah","contributorId":251969,"corporation":false,"usgs":false,"family":"Wright","given":"Sarah","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":810874,"contributorType":{"id":1,"text":"Authors"},"rank":44}]}}
,{"id":70209088,"text":"70209088 - 2020 - Long term persistence of aspen in snowdrift-dependent ecosystems","interactions":[],"lastModifiedDate":"2020-03-15T13:48:16","indexId":"70209088","displayToPublicDate":"2020-02-22T13:47:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Long term persistence of aspen in snowdrift-dependent ecosystems","docAbstract":"Quaking aspen (Populus tremuloides) forests throughout the western United States have\nexperienced significant mortality in recent decades, much of which has been influenced by\nclimate variability, especially drought. In the western portion of its range, where most\tprecipitation arrives during winter as snowfall and summers are dry, snowdrifts that persist into\tthe growing season provide soil moisture recharge that sustain many aspen groves that are\timportant locations of biodiversity within the landscape. There is growing concern that reduced\nsnowpack due to climate change may reduce the long-term persistence and productivity of aspen communities in these regions. In this study, we evaluated the potential for climate change and\tdrought to reduce or eliminate isolated aspen communities in southwestern Idaho. We used a landscape simulation model integrated with inputs from an empirically derived biogeochemical\nmodel of growth, and a species distribution model of regeneration to forecast how changes in\nclimate, declining snowpack, and competition with a conifer species is likely to affect aspen\noccupancy over the next 85-years. We found that simulated reductions in snowpack depth (and\nassociated increases in climatic water deficit) caused a reduction in aspen persistence; aspen\noccupancy was reduced under all high emissions climate scenarios. Douglas-fir (Pseudotsuga\nmenziesii) occupancy also declined under all future climates. Aspen regeneration declined over\nthe course of all simulations, with an ensemble ratio of mortality/establishment increasing over\nthe course of both low and high emissions climate scenarios. Climate-induced mortality of aspen\nclones increased in frequency under all climate scenarios and, under the most severe emissions\nscenarios, contributed to a substantial decline of aspen cover. Our research suggests that\nsnowbanks will be an important determinant of long-term persistence of aspen under changing climate in the region.","language":"English","publisher":"Elseiver","doi":"10.1016/j.foreco.2020.118005","usgsCitation":"Kretchun, A.M., Scheller, R., Shinneman, D.J., Soderquist, B., Maguire, K.C., Link, T., and Strand, E.K., 2020, Long term persistence of aspen in snowdrift-dependent ecosystems: Forest Ecology and Management, v. 462, 118005, https://doi.org/10.1016/j.foreco.2020.118005.","productDescription":"118005","ipdsId":"IP-112095","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2020.118005","text":"Publisher Index Page"},{"id":373273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"462","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kretchun, Alec M","contributorId":223372,"corporation":false,"usgs":false,"family":"Kretchun","given":"Alec","email":"","middleInitial":"M","affiliations":[{"id":40703,"text":"Quantum Spatial","active":true,"usgs":false}],"preferred":false,"id":784879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheller, Robert M","contributorId":147807,"corporation":false,"usgs":false,"family":"Scheller","given":"Robert M","affiliations":[{"id":16941,"text":"Environmental Science and Management Department, Portland State University","active":true,"usgs":false}],"preferred":false,"id":784880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":784878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soderquist, B","contributorId":223373,"corporation":false,"usgs":false,"family":"Soderquist","given":"B","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":784882,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maguire, Kaitlin C. 0000-0001-8193-2384","orcid":"https://orcid.org/0000-0001-8193-2384","contributorId":203419,"corporation":false,"usgs":true,"family":"Maguire","given":"Kaitlin","email":"","middleInitial":"C.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":784881,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Link, Timothy E","contributorId":223374,"corporation":false,"usgs":false,"family":"Link","given":"Timothy E","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":784883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strand, Eva K.","contributorId":149810,"corporation":false,"usgs":false,"family":"Strand","given":"Eva","email":"","middleInitial":"K.","affiliations":[{"id":17832,"text":"University of Idaho Department of Forest, Rangeland, and Fire Sciences","active":true,"usgs":false}],"preferred":false,"id":784884,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70229750,"text":"70229750 - 2020 - Evolving infrasound detections from Bogoslof volcano, Alaska: Insights from atmospheric propagation modeling","interactions":[],"lastModifiedDate":"2022-03-16T14:33:25.456937","indexId":"70229750","displayToPublicDate":"2020-02-22T09:29:22","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":"Evolving infrasound detections from Bogoslof volcano, Alaska: Insights from atmospheric propagation modeling","docAbstract":"<p><span>Bogoslof volcano, a back-arc volcano in Alaska’s Aleutian arc, began an eruptive sequence in mid-December 2016 that ended in late August 2017, with 70 individual eruptive episodes. Because there were no local seismic or infrasound stations on the island, the Alaska Volcano Observatory (AVO) relied on distant geophysical networks and remote sensing techniques to assess activity during the eruption. AVO maintains six infrasound arrays to monitor activity along the Aleutian arc: Adak, the Island of Four Mountains, Okmok, Akutan, Sand Point, and Dillingham. Eruption detection at infrasound arrays is subject to local as well as mesoscale meteorological conditions that vary greatly over both short and long timescales. Infrasound detections from the array nearest to Bogoslof (Okmok), with a latency of about 3&nbsp;min, played a crucial role in monitoring activity during the eruption. Despite the relative proximity of the Okmok array to Bogoslof (60&nbsp;km), infrasound detections were not uniformly observed with only about two-thirds of the events successfully detected. The farthest array at Dillingham (816&nbsp;km) detected approximately half of the explosive events, with all other arrays detecting less than half of the events. We compare observations with infrasound propagation model predictions, using both normal mode and parabolic equation forward models, to interpret the variation in detections of the 70 explosive events across the AVO infrasound network. The forward models utilize the newly created, publicly available AVO-G2S atmospheric reconstruction using numerical weather predictions data for the lower atmosphere, coupled with upper atmosphere empirical models of wind speeds and temperature. We find that long-range detections (&gt; 100&nbsp;km) of Bogoslof events are largely aligned with seasonal variability in favorable propagation conditions, while regional detections (&lt; 100&nbsp;km) are less consistent with propagation modeling. Understanding the output of numerical models in comparison to past observations will facilitate their use in future operational settings for AVO and other observatories.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-020-1360-3","usgsCitation":"Schwaiger, H., Lyons, J.J., Iezzi, A., Fee, D., and Haney, M.M., 2020, Evolving infrasound detections from Bogoslof volcano, Alaska: Insights from atmospheric propagation modeling: Bulletin of Volcanology, v. 82, 27, 14 p., https://doi.org/10.1007/s00445-020-1360-3.","productDescription":"27, 14 p.","ipdsId":"IP-108990","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":397149,"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              -179.5166015625,\n              48.40003249610685\n            ],\n            [\n              -157.5,\n              48.40003249610685\n            ],\n            [\n              -157.5,\n              58.768200159239576\n            ],\n            [\n              -179.5166015625,\n              58.768200159239576\n            ],\n            [\n              -179.5166015625,\n              48.40003249610685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2020-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Schwaiger, Hans 0000-0001-7397-8833","orcid":"https://orcid.org/0000-0001-7397-8833","contributorId":214983,"corporation":false,"usgs":true,"family":"Schwaiger","given":"Hans","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":838173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":838174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iezzi, Alexandra M. 0000-0002-6782-7681","orcid":"https://orcid.org/0000-0002-6782-7681","contributorId":196436,"corporation":false,"usgs":false,"family":"Iezzi","given":"Alexandra M.","affiliations":[],"preferred":false,"id":838175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fee, David 0000-0002-0936-9977","orcid":"https://orcid.org/0000-0002-0936-9977","contributorId":267231,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[{"id":13097,"text":"Geophysical Institute, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":838176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":838177,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228770,"text":"70228770 - 2020 - The effects of fire on the thermal environment of sagebrush communities","interactions":[],"lastModifiedDate":"2022-02-18T13:13:50.362045","indexId":"70228770","displayToPublicDate":"2020-02-22T07:09:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2476,"text":"Journal of Thermal Biology","active":true,"publicationSubtype":{"id":10}},"title":"The effects of fire on the thermal environment of sagebrush communities","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Thermal heterogeneity provides options for organisms during extreme temperatures that can contribute to their fitness. Sagebrush (<i>Artemisia</i><span>&nbsp;</span>spp.) communities exhibit vegetation heterogeneity that creates thermal variation at fine spatial scales. However, fire can change vegetation and thereby variation within the thermal environment of sagebrush communities. To describe spatial and temporal thermal variation of sagebrush communities following wildfire, we measured black bulb temperature (<i>T</i><sub><i>bb</i></sub>) at 144 random points dispersed within unburned and burned communities, for 24-h at each random point. We observed a wide thermal gradient in unburned (−7.3° to 63.3&nbsp;°C) and burned (−4.6° to 64.8&nbsp;°C) sagebrush communities. Moreover, unburned and burned sagebrush communities displayed high thermal heterogeneity relative to ambient temperature (<i>T</i><sub><i>air</i></sub>). Notably,<span>&nbsp;</span><i>T</i><sub><i>bb</i></sub><span>&nbsp;</span>varied by 47&nbsp;°C in both unburned and burned communities when<span>&nbsp;</span><i>T</i><sub><i>air</i></sub><span>&nbsp;</span>was 20&nbsp;°C. However, fire greatly reduced the buffering capacity and thermal refuge of Wyoming big sagebrush (<i>A. tridentata wyomingensis</i>) communities during low and high<span>&nbsp;</span><i>T</i><sub><i>air</i></sub>. Furthermore, fire increased<span>&nbsp;</span><i>T</i><sub><i>bb</i></sub><span>&nbsp;</span>in Wyoming big sagebrush and mountain big sagebrush (<i>A. t. vaseyana</i>) during the mid-day hours. These results demonstrate how fire changes the thermal environment of big sagebrush communities and the importance of shrub structure which can provide thermal refuge for organisms in burned communities during extreme low and high<span>&nbsp;</span><i>T</i><sub><i>air</i></sub>.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtherbio.2019.102488","usgsCitation":"Anthony, C., Hagen, C., Dugger, K., and Elmore, R.D., 2020, The effects of fire on the thermal environment of sagebrush communities: Journal of Thermal Biology, v. 89, 102488, 9 p., https://doi.org/10.1016/j.jtherbio.2019.102488.","productDescription":"102488, 9 p.","ipdsId":"IP-113899","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":396163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Christopher R.","contributorId":279695,"corporation":false,"usgs":false,"family":"Anthony","given":"Christopher R.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":835376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagen, Christian A.","contributorId":279696,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian A.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":835377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":835375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elmore, R. Dwayne","contributorId":279697,"corporation":false,"usgs":false,"family":"Elmore","given":"R.","email":"","middleInitial":"Dwayne","affiliations":[{"id":57346,"text":"oksu","active":true,"usgs":false}],"preferred":false,"id":835378,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208644,"text":"70208644 - 2020 - Characterizing land surface phenology and exotic annual grasses in dryland ecosystems using Landsat and Sentinel-2 data in harmony","interactions":[],"lastModifiedDate":"2022-03-31T18:52:42.924432","indexId":"70208644","displayToPublicDate":"2020-02-22T06:42:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing land surface phenology and exotic annual grasses in dryland ecosystems using Landsat and Sentinel-2 data in harmony","docAbstract":"Invasive annual grasses, such as cheatgrass (Bromus tectorum L.), have proliferated in dryland ecosystems of the western United States, promoting increased fire activity and reduced biodiversity that can be detrimental to socio-environmental systems. Monitoring exotic annual grass cover and dynamics over large areas requires the use of remote sensing that can support early detection and rapid response initiatives. However, few studies have leveraged remote sensing technologies and computing frameworks capable of providing rangeland managers with maps of exotic annual grass cover at relatively high spatiotemporal resolutions and near real-time latencies. Here, we developed a system for automated mapping of invasive annual grass (%) cover using in situ observations, harmonized Landsat and Sentinel-2 (HLS) data, maps of biophysical variables, and machine learning techniques. A robust and automated cloud, cloud shadow, water, and snow/ice masking procedure (mean overall accuracy >81%) was implemented using time-series outlier detection and data mining techniques prior to spatiotemporal interpolation of HLS data via regression tree models (r = 0.94; mean absolute error (MAE) = 0.02). Weekly, cloud-free normalized difference vegetation index (NDVI) image composites (2016–2018) were used to construct a suite of spectral and phenological metrics (e.g., start and end of season dates), consistent with information derived from Moderate Resolution Image Spectroradiometer (MODIS) data. These metrics were incorporated into a data mining framework that accurately (r = 0.83; MAE = 11) modeled and mapped exotic annual grass (%) cover throughout dryland ecosystems in the western United States at a native, 30-m spatial resolution. Our results show that inclusion of weekly HLS time-series data and derived indicators improves our ability to map exotic annual grass cover, as compared to distribution models that use MODIS products or monthly, seasonal, or annual HLS composites as primary inputs. This research fills a critical gap in our ability to effectively assess, manage, and monitor drylands by providing a framework that allows for an accurate and timely depiction of land surface phenology and exotic annual grass cover at spatial and temporal resolutions that are meaningful to local resource managers.","language":"English","publisher":"MDPI","doi":"10.3390/rs12040725","usgsCitation":"Pastick, N., Dahal, D., Wylie, B.K., Parajuli, S., Boyte, S.P., and Wu, Z., 2020, Characterizing land surface phenology and exotic annual grasses in dryland ecosystems using Landsat and Sentinel-2 data in harmony: Remote Sensing, v. 12, no. 4, 725, 17 p.; Data release, https://doi.org/10.3390/rs12040725.","productDescription":"725, 17 p.; Data release","ipdsId":"IP-114798","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":457631,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12040725","text":"Publisher Index Page"},{"id":437093,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91NJ2PD","text":"USGS data release","linkHelpText":"Near real time estimation of annual exotic herbaceous fractional cover in the sagebrush ecosystem 30m, USA, July 2020"},{"id":437092,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KKPT07","text":"USGS data release","linkHelpText":"Weekly cloud free Harmonized Landsat Sentinel-2 (HLS) Normalized Difference Vegetation Index (NDVI) data for western United States (2016 &amp;amp;amp;ndash; 2019)."},{"id":437091,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XT1BV2","text":"USGS data release","linkHelpText":"Fractional estimates of exotic annual grass cover in dryland ecosystems of western United States (2016 - 2019)"},{"id":372534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397944,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZZSX5Q","text":"USGS data release","description":"USGS data release","linkHelpText":"Early estimates of Annual Exotic Herbaceous Fractional Cover in the Sagebrush Ecosystem, USA, May 2020"}],"country":"United States","state":"California, Idaho, Nevada, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.728515625,\n              40.97989806962013\n            ],\n            [\n              -114.7412109375,\n              40.97989806962013\n            ],\n            [\n              -114.7412109375,\n              44.18220395771566\n            ],\n            [\n              -121.728515625,\n              44.18220395771566\n            ],\n            [\n              -121.728515625,\n              40.97989806962013\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Pastick, Neal 0000-0002-4321-6739","orcid":"https://orcid.org/0000-0002-4321-6739","contributorId":222683,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":782880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":782883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parajuli, Sujan 0000-0002-1652-3063","orcid":"https://orcid.org/0000-0002-1652-3063","contributorId":222684,"corporation":false,"usgs":true,"family":"Parajuli","given":"Sujan","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":782882,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyte, Stephen P. 0000-0002-5462-3225 sboyte@usgs.gov","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":139238,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen","email":"sboyte@usgs.gov","middleInitial":"P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":782885,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209323,"text":"70209323 - 2020 - The NASA hydrological forecast system for food and water security applications","interactions":[],"lastModifiedDate":"2020-08-05T13:51:35.378688","indexId":"70209323","displayToPublicDate":"2020-02-21T16:42:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"The NASA hydrological forecast system for food and water security applications","docAbstract":"Many regions in Africa and the Middle East are vulnerable to drought and to water and food insecurity, motivating agency efforts such as the U.S. Agency for International Development’s (USAID) Famine Early Warning System Network (FEWS NET) to provide early warning of drought events in the region. Each year these warnings guide life-saving assistance that reaches millions of people. A new NASA multi-model, remote sensing-based hydrological forecasting and analysis system, NHyFAS, has been developed to support such efforts by improving the FEWS NET’s current early warning capabilities. NHyFAS derives its skill from two sources: (i) accurate initial conditions, as produced by an offline land modeling system through the application and/or assimilation of various satellite data (precipitation, soil moisture, and terrestrial water storage); and (ii) meteorological forcing data during the forecast period as produced by a state-of-the-art ocean-land-atmosphere forecast system. The land modeling framework used is the Land Information System (LIS), which employs a suite of land surface models, allowing multi-model ensembles and multiple data assimilation strategies to better estimate land surface conditions. An evaluation of NHyFAS shows that its one-to-five month forecasts successfully capture known historic drought events. The system also benefits from strong collaboration with end-user partners in Africa and the Middle East, who provide insights on strategies to formulate and communicate early warning indicators to water and food security communities. The additional lead time provided by this system will increase the speed, accuracy and efficacy of humanitarian disaster relief, helping to save lives and livelihoods.","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-18-0264.1","usgsCitation":"Arsenault, K., Shukla, S., Hazra, A., Getirana, A., McNally, A., Kumar, S., Koster, R., Peters-Lidard, C., Zaitchik, B., Badr, H., Jung, H.C., Narapusetty, B., , N., Wang, S., Mocko, D.M., Funk, C., Harrison, L., Husak, G.J., Adoum, A., Galu, G., Magadzire, T., Roningen, J., Shaw, M.J., Eylander, J., Bergaoui, K., McDonnell, R.A., and Verdin, J., 2020, The NASA hydrological forecast system for food and water security applications: Bulletin of the American Meteorological Society, v. 101, no. 7, p. E1007-E1025, https://doi.org/10.1175/BAMS-D-18-0264.1.","productDescription":"19 p.","startPage":"E1007","endPage":"E1025","ipdsId":"IP-117242","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":457635,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-18-0264.1","text":"Publisher Index Page"},{"id":373697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa, Middle East","volume":"101","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Arsenault, Kristi","contributorId":198836,"corporation":false,"usgs":false,"family":"Arsenault","given":"Kristi","affiliations":[],"preferred":false,"id":786063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shukla, Shraddhanand","contributorId":145841,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":16255,"text":"Climate Hazards Group University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":786064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazra, Abheera","contributorId":223718,"corporation":false,"usgs":false,"family":"Hazra","given":"Abheera","email":"","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":786065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Getirana, Agusto","contributorId":223719,"corporation":false,"usgs":false,"family":"Getirana","given":"Agusto","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":786066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNally, Amy","contributorId":145810,"corporation":false,"usgs":false,"family":"McNally","given":"Amy","email":"","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":786067,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kumar, Sujay","contributorId":198837,"corporation":false,"usgs":false,"family":"Kumar","given":"Sujay","email":"","affiliations":[],"preferred":false,"id":786068,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koster, Randal","contributorId":223720,"corporation":false,"usgs":false,"family":"Koster","given":"Randal","email":"","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":786069,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peters-Lidard, Christa","contributorId":198839,"corporation":false,"usgs":false,"family":"Peters-Lidard","given":"Christa","email":"","affiliations":[],"preferred":false,"id":786070,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zaitchik, Ben","contributorId":223721,"corporation":false,"usgs":false,"family":"Zaitchik","given":"Ben","email":"","affiliations":[{"id":37540,"text":"John Hopkins University","active":true,"usgs":false}],"preferred":false,"id":786071,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Badr, Hamada","contributorId":223722,"corporation":false,"usgs":false,"family":"Badr","given":"Hamada","email":"","affiliations":[{"id":37540,"text":"John Hopkins University","active":true,"usgs":false}],"preferred":false,"id":786072,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jung, Hahn Chul","contributorId":223742,"corporation":false,"usgs":false,"family":"Jung","given":"Hahn","email":"","middleInitial":"Chul","affiliations":[],"preferred":false,"id":786155,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Narapusetty, Bala","contributorId":223743,"corporation":false,"usgs":false,"family":"Narapusetty","given":"Bala","email":"","affiliations":[],"preferred":false,"id":786156,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":" Navari","contributorId":223744,"corporation":false,"usgs":false,"given":"Navari","email":"","affiliations":[],"preferred":false,"id":786157,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wang, Shugong","contributorId":198838,"corporation":false,"usgs":false,"family":"Wang","given":"Shugong","email":"","affiliations":[],"preferred":false,"id":786158,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mocko, David M.","contributorId":223745,"corporation":false,"usgs":false,"family":"Mocko","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":786159,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":786160,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Harrison, 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In this analysis, we utilize a conventional risk-modeling framework to develop and apply a new methodology for assessing the supply risk to the U.S. manufacturing sector. Specifically, supply risk is defined as the confluence of three factors: the likelihood of a foreign supply disruption, the dependency of U.S. manufacturers on foreign supplies, and the ability of U.S. manufacturers to withstand a supply disruption. The methodology is applied to 52 commodities for the decade spanning 2007-2016. The results indicate that a subset of 23 commodities, including cobalt, niobium, rare earth elements, and tungsten, pose the greatest supply risk. 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,{"id":70208723,"text":"70208723 - 2020 - Seasonal subsurface thaw dynamics of an aufeis feature inferred from geophysical methods","interactions":[],"lastModifiedDate":"2020-04-06T22:02:32.940202","indexId":"70208723","displayToPublicDate":"2020-02-21T15:11:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal subsurface thaw dynamics of an aufeis feature inferred from geophysical methods","docAbstract":"Aufeis are sheets of ice unique to cold regions that originate from repeated flooding and freezing events during the winter. They have hydrological importance associated with summer flows and possibly winter insulation, but little is known about the seasonal dynamics of the unfrozen sediment layer beneath them.  This layer may support perennial groundwater flow in regions with otherwise continuous permafrost.  For this study, ground penetrating radar (GPR) were collected in September 2016 (maximum thaw) and April 2017 (maximum frozen) at the Kuparuk aufeis field on the North Slope of Alaska. Supporting surface nuclear magnetic resonance (NMR) data were collected during the maximum frozen campaign.  These point-in-time geophysical data sets were augmented by continuous subsurface temperature data and periodic Structure-from-Motion digital elevation models (DEM) collected seasonally.  GPR and difference DEM data showed maximum ice thicknesses of up to 6 m over the sediment surface.   Below the ice, GPR and NMR identified regions of permafrost and regions of seasonally frozen sediment (i.e., the active layer) underlain by a substantial perennially unfrozen zone or “lateral talik” that ranged from 0 m to over 13 m thick.  The seasonally frozen cobble layer above the talik was typically 3 to 5 m thick, with freezing apparently enabled by relatively high thermal diffusivity of the overlying ice and rock cobbles.  The large talik beneath the aufeis and active layer suggests that year-round groundwater flow and coupled heat transport occurs beneath much of the feature. Highly permeable alluvial material and discrete zones of apparent groundwater upwelling indicated by geophysical and ground temperature data allows direct connection between the aufeis and the talik below.","language":"English","publisher":"Wiley","doi":"10.1029/2019JF005345","usgsCitation":"Terry, N., Grunewald, E., Briggs, M.A., Gooseff, M., Huryn, A.D., Kass, M.A., Tape, K., Hendrickson, P., and Lane, J., 2020, Seasonal subsurface thaw dynamics of an aufeis feature inferred from geophysical methods: Journal of Geophysical Research: Earth Surface, v. 125, no. 3, e2019JF005345, 18 p., https://doi.org/10.1029/2019JF005345.","productDescription":"e2019JF005345, 18 p.","ipdsId":"IP-106506","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":372655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","county":"Kuparuk River drainage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -149.37011718749997,\n              69.79413569863112\n            ],\n            [\n              -148.55712890625,\n              70.44415495538642\n            ],\n            [\n              -149.30419921875,\n              70.49557354093136\n            ],\n            [\n              -149.85351562499997,\n              69.80172356231073\n            ],\n            [\n              -149.37011718749997,\n              69.79413569863112\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":783169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grunewald, Elliot","contributorId":193963,"corporation":false,"usgs":false,"family":"Grunewald","given":"Elliot","email":"","affiliations":[],"preferred":false,"id":783170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":783171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gooseff, Michael","contributorId":181942,"corporation":false,"usgs":false,"family":"Gooseff","given":"Michael","affiliations":[],"preferred":false,"id":783172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huryn, Alexander D. 0000-0002-1365-2361","orcid":"https://orcid.org/0000-0002-1365-2361","contributorId":20164,"corporation":false,"usgs":false,"family":"Huryn","given":"Alexander","email":"","middleInitial":"D.","affiliations":[{"id":28219,"text":"The University of Alabama, Department of Biological Sciences, Tuscaloosa, AL 35487","active":true,"usgs":false}],"preferred":false,"id":783173,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kass, M. Andy","contributorId":103593,"corporation":false,"usgs":true,"family":"Kass","given":"M.","email":"","middleInitial":"Andy","affiliations":[],"preferred":false,"id":783174,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tape, Ken 0000-0002-1039-6868","orcid":"https://orcid.org/0000-0002-1039-6868","contributorId":214222,"corporation":false,"usgs":false,"family":"Tape","given":"Ken","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":783175,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hendrickson, Patrick","contributorId":214223,"corporation":false,"usgs":false,"family":"Hendrickson","given":"Patrick","email":"","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":783176,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, John W. 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,{"id":70208476,"text":"fs20203008 - 2020 - U.S. Geological Survey science in support of the North American Bat Monitoring Program (NABat)","interactions":[],"lastModifiedDate":"2020-02-21T14:33:18","indexId":"fs20203008","displayToPublicDate":"2020-02-21T15:00:00","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":"2020-3008","displayTitle":"U.S. Geological Survey Science in Support of the North American Bat Monitoring Program (NABat)","title":"U.S. Geological Survey science in support of the North American Bat Monitoring Program (NABat)","docAbstract":"<p>Bats make up one-fifth of all mammalian species worldwide and are found on every continent except Antarctica. They contribute to overall ecosystem health by suppressing pest insects and pollinating plants and spreading seeds. Eight North American bat species are listed as federally endangered or threatened, and more than one-half are of current conservation concern in the United States, Canada, or Mexico.</p><p>The U.S. Geological Survey (USGS) leads, manages, and coordinates the multinational North American Bat Monitoring Program (NABat) as well as conducts scientific research on bats. USGS and NABat partners help resource managers and policymakers make informed decisions regarding the conservation of bats across North America. USGS science also helps inform decision making with respect to WNS surveillance and bat vulnerability; mitigation of potential impacts of energy development on bats; prelisting conservation efforts for regulatory agencies; and land management practices.</p><p>Partners are essential to the success of NABat. The data contributed by NABat partners provide baseline knowledge on the distribution and abundance of bats, which is used to evaluate the impacts of the threats to bats across North America. These data are also the foundation for the scientific information used to set conservation priorities and evaluate the effectiveness of management actions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203008","usgsCitation":"Reichert, B.E., and Soileau, S.C., 2020, U.S. Geological Survey science in support of the North American Bat Monitoring Program (NABat): U.S. Geological Survey Fact Sheet 2020–3008, 2 p., https://doi.org/10.3133/fs20203008.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-113139","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":372513,"rank":3,"type":{"id":18,"text":"Project Site"},"url":"https://www.nabatmonitoring.org/","text":"North American Bat Monitoring Program 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C<br>Fort Collins, CO 80526–8118</p>","tableOfContents":"<ul><li>Featured NABat Projects and Tools</li><li>Reliance on NABat Partnerships</li><li>Reference Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-02-20","noUsgsAuthors":false,"publicationDate":"2020-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":782056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soileau, Suzanna C. 0000-0002-4331-0098","orcid":"https://orcid.org/0000-0002-4331-0098","contributorId":222392,"corporation":false,"usgs":true,"family":"Soileau","given":"Suzanna","email":"","middleInitial":"C.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":782057,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208590,"text":"sir20195142 - 2020 - Assessment of soil and water resources in the Organ Mountains-Desert Peaks National Monument, New Mexico","interactions":[],"lastModifiedDate":"2022-04-25T20:20:35.352401","indexId":"sir20195142","displayToPublicDate":"2020-02-21T13:52:10","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":"2019-5142","displayTitle":"Assessment of Soil and Water Resources in the Organ Mountains-Desert Peaks National Monument, New Mexico","title":"Assessment of soil and water resources in the Organ Mountains-Desert Peaks National Monument, New Mexico","docAbstract":"<p>The Organ Mountains-Desert Peaks National Monument (Monument) in southern New Mexico was established in 2014. Given anticipated future demands in the Monument for recreation, livestock grazing, and maintenance of rights-of-way (for example, pipelines and powerlines), the Bureau of Land Management (BLM) needs a better understanding of the current soil and water resources and how infrastructure improvements could affect these resources and the watershed. Specifically, the BLM is concerned with infiltration and erosion and their relations to existing or planned infrastructure, such as roads, campgrounds, location of livestock grazing, and rights-of-way. Alternatives to the current land-use conditions, land-management practices, and infrastructure will be assessed by BLM to best protect Monument resources. The U.S. Geological Survey, in cooperation with the BLM, conducted a study to assess the soil and water resources within the Monument to provide an inventory and compilation of natural-resource information needed by resource managers for the BLM’s land-use planning process for this new national monument. The overall objectives of this study were to (1) compile and interpret existing soil- and water-resource data for the Monument and (2) provide a basic assessment of the surface hydrological effects of selected alternatives to current land use and infrastructure. Data were compiled by using geographic information system software and evaluated for hydrologic and landscape properties that influence infiltration, runoff, and erosion. The effects of changing vegetation were simulated by using different scenarios in the Rangeland Hydrology and Erosion Model. Results of this model indicate areas where soil loss or runoff may occur.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195142","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Blake, J.M., Mitchell, A.C., Shephard, Z., Ball, G., Chavarria, S., and Douglas-Mankin, K.R., 2020, Assessment of soil and water resources in the Organ Mountains-Desert Peaks National Monument, New Mexico: U.S. Geological Survey Scientific Investigations Report 2019–5142, 64 p., https://doi.org/10.3133/sir20195142.","productDescription":"Report: x, 64 p.; Data Release","numberOfPages":"78","onlineOnly":"Y","ipdsId":"IP-098054","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":372464,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5142/sir20195142.pdf","text":"Report","size":"87.8 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,{"id":70210507,"text":"70210507 - 2020 - Final project memorandum: Southeast Climate Adaptation Science Center Project","interactions":[],"lastModifiedDate":"2020-07-22T18:45:45.080259","indexId":"70210507","displayToPublicDate":"2020-02-21T11:25:03","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Final project memorandum: Southeast Climate Adaptation Science Center Project","docAbstract":"<p><span>Low-lying public lands along the northern Gulf of Mexico coast are vulnerable to sea-level rise. Coastal planners and resource managers in the region have requested customized information that can be used to concisely communicate local sea-level rise scenarios and identify potential impacts to the missions of management agencies.</span><br><br><span>In this project, researchers worked with the Northern Gulf of Mexico Sentinel Site Cooperative to develop information sheets outlining potential sea-level rise scenarios for the region through 2100 including their potential impact on the missions of federally-managed lands. Researchers drew from existing information on regional and global sea-level rise scenarios to develop customized information sheets for 54 federally-managed lands in the region (e.g., National Wildlife Refuges, National Park Service lands, National Estuarine Research Reserves) (Chivoiu et al. 2020).</span><br><br><span>This project was developed in response to a request for customized sea-level rise scenario products from partners at the Northern Gulf of Mexico Sentinel Site Cooperative and the U.S. Fish and Wildlife Service’s Gulf Restoration Program. The results of this project support the </span><span>conservation stewardship missions of the U.S. Fish and Wildlife Service and National Park Service by providing science to inform management of their lands along the Gulf of Mexico.</span></p>","language":"English","publisher":"Southeast Climate Adaptation Science Center","usgsCitation":"Osland, M., and Collini, R.C., 2020, Final project memorandum: Southeast Climate Adaptation Science Center Project: Cooperator Report, 5 p.","productDescription":"5 p.","ipdsId":"IP-115952","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":375415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375396,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f8c6557e4b0546c0c397b4c/5ba005b1e4b08583a5c277eb"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.85937499999999,\n              25.64152637306577\n            ],\n            [\n              -82.880859375,\n              30.29701788337205\n            ],\n            [\n              -86.30859375,\n              30.751277776257812\n            ],\n            [\n              -90.17578124999999,\n              30.675715404167743\n            ],\n            [\n              -94.921875,\n              30.06909396443887\n            ],\n            [\n              -98.173828125,\n              28.459033019728043\n            ],\n            [\n              -97.470703125,\n              25.403584973186703\n            ],\n            [\n              -96.767578125,\n              27.371767300523047\n            ],\n            [\n              -93.8671875,\n              28.844673680771795\n            ],\n            [\n              -91.845703125,\n              28.998531814051795\n            ],\n            [\n              -89.56054687499999,\n              28.38173504322308\n            ],\n            [\n              -88.505859375,\n              29.38217507514529\n            ],\n            [\n              -86.044921875,\n              29.611670115197377\n            ],\n            [\n              -85.25390625,\n              28.998531814051795\n            ],\n            [\n              -84.0234375,\n              29.305561325527698\n            ],\n            [\n              -83.3203125,\n              28.22697003891834\n            ],\n            [\n              -82.96875,\n              27.137368359795584\n            ],\n            [\n              -81.82617187499999,\n              25.16517336866393\n            ],\n            [\n              -80.85937499999999,\n              25.64152637306577\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":205379,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":790457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collini, Renee C.","contributorId":195567,"corporation":false,"usgs":false,"family":"Collini","given":"Renee","email":"","middleInitial":"C.","affiliations":[{"id":34311,"text":"Northern Gulf of Mexico Sentinel Site Cooperative, Dauphin Island, AL, USA","active":true,"usgs":false}],"preferred":false,"id":790458,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208920,"text":"70208920 - 2020 - Editorial: Contributions of behavior and physiology to conservation biology","interactions":[],"lastModifiedDate":"2020-03-05T10:21:26","indexId":"70208920","displayToPublicDate":"2020-02-21T10:17:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Editorial: Contributions of behavior and physiology to conservation biology","docAbstract":"Conservation biology is a rapidly evolving discipline, with its synthetic, multidisciplinary framework expanding extensively in recent years. Seemingly disparate disciplines, such as behavior and physiology, are being integrated into this discipline's growing portfolio, resulting in diverse tools that can help develop conservation solutions. Behavior and physiology have traditionally been considered separate fields, yet their integration can provide a more comprehensive approach to developing solutions to conservation and management problems. However, demonstrations are needed of how behavior and physiology—either separately or combined—have contributed to conservation success. Examining species' vulnerabilities to extinction through the lenses of behavior and physiology can provide insight into the mechanisms that drive population declines and extirpations. Our goal is to increase awareness of the benefit of combining behavioral and physiological tools to improve conservation management decisions. Such studies can also help strengthen the basis for evidence-based conservation which, in some cases, has been previously lacking. The diverse studies in our Research Topic illustrate key examples of ways that behavior and physiology can be incorporated into conservation biology. Three main themes emerged from the invited papers with respect to their relevance to conservation: (1) Stress physiology, (2) indicators of health and disease dynamics, (3) and movement ecology. But these themes were also intertwined, thus showing the importance of integrating multiple fields of research to successfully address questions about conservation biology.\n\nTwo mini reviews discuss the importance of examining how stress physiology may affect individual fitness and capacity to cope with change which, ultimately, affects the resiliency of populations. Walls and Gabor, in their mini review, promoted combining studies of behavior and physiology to aid in developing conservation strategies for amphibians, which could provide conservation managers with workable solutions to global environmental change. Walls and Gabor also pointed out that studies of behavior are useful to understand how native amphibian species respond to invasive predators. This is supported by Roznik et al. who combined physiology and behavior for a more holistic understanding of the impacts of competition between native and invasive frogs. These authors found that invasive Cuban tree frogs outperformed two native species in jump length and speed, offsetting the costs of dehydration. This work also ties in well to a review by Joly, who indicated the importance of exploring movement ecology (on multiple spatial scales) of invasive species to provide insights for invasive species management. Walls and Gabor also emphasized that more studies on phenological shifts of species in response to recent climate change are needed, as explored by Bókony et al. with birds. These authors found that bird species varied their migratory behaviors in response to contemporary climate change which, in turn, influenced subsequent trends in population size.","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2020.00033","usgsCitation":"Gabor, C., and Walls, S.C., 2020, Editorial: Contributions of behavior and physiology to conservation biology: Frontiers in Ecology and Evolution, v. 8, 33, 3 p., https://doi.org/10.3389/fevo.2020.00033.","productDescription":"33, 3 p.","ipdsId":"IP-114136","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457641,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2020.00033","text":"Publisher Index Page"},{"id":372945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Gabor, Caitlin R","contributorId":216236,"corporation":false,"usgs":false,"family":"Gabor","given":"Caitlin R","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":784023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":784024,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70210221,"text":"70210221 - 2020 - A call for global action to conserve native trout in the 21st century and beyond","interactions":[],"lastModifiedDate":"2020-07-09T15:01:41.623945","indexId":"70210221","displayToPublicDate":"2020-02-21T08:15:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"A call for global action to conserve native trout in the 21st century and beyond","docAbstract":"<p>Trout and char (hereafter,<span>&nbsp;</span><i>trout<span>&nbsp;</span></i>) represent some of the more culturally, economically and ecologically important taxa of freshwater fishes worldwide (Kershner, Williams, Gresswell, &amp; Lobón‐Cerviá,<span>&nbsp;</span><span>2019a</span>). Native to all continents in the Northern Hemisphere (as well as western Mediterranean Africa), trout belong to seven genera (<i>Oncorhynchus<span>&nbsp;</span></i>,<span>&nbsp;</span><i>Salvelinus, Salmo<span>&nbsp;</span></i>,<span>&nbsp;</span><i>Hucho, Parahucho, Brachymystax<span>&nbsp;</span></i>and<span>&nbsp;</span><i>Salvethymus<span>&nbsp;</span></i>), which are distributed across more than 60 countries (Muhlfeld et al.,<span>&nbsp;</span><span>2019</span>). Despite their broad importance as indicators of biodiversity in cold‐water ecosystems (Haak &amp; Williams,<span>&nbsp;</span><span>2013</span>), as well as cultural icons for food and recreation, nearly half of the world's recognised trout species (IUCN,<span>&nbsp;</span><span>2018</span>) are imperilled or at risk of global extinction (Muhlfeld et al.,<span>&nbsp;</span><span>2018</span>,<span>&nbsp;</span><span>2019</span>). The root causes of their vulnerability include broad‐scale alteration of landscapes and watersheds, dams, overharvest, pollution, interactions with hatchery‐bred conspecifics and non‐native species. However, emerging threats such as climate change and related problems such as the spread of diseases and parasites pose significant challenges and uncertainties to native trout and their habitats (Kovach et al.,<span>&nbsp;</span><span>2016</span>; Muhlfeld et al.,<span>&nbsp;</span><span>2018</span>). Ultimately, conservation of native trout depends on understanding their diversity, a willingness to address threats at their root causes and implementing progressive conservation solutions that promote persistence of these iconic species in the face of growing human pressures.</p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12538","usgsCitation":"Dauwalter, D.C., Duchi, A., Epifanio, J., Gandolfi, A., Gresswell, R.E., Juanes, F., Kershner, J.L., Lobon-Cervia, J., McGinnity, P., Meraner, A., Mikheev, P., Morita, K., Muhlfeld, C.C., Pinter, K., Post, J., Unfer, G., Vøllestad, L., and Williams, J.E., 2020, A call for global action to conserve native trout in the 21st century and beyond: Ecology of Freshwater Fish, v. 29, no. 3, p. 429-432, https://doi.org/10.1111/eff.12538.","productDescription":"4 p.","startPage":"429","endPage":"432","ipdsId":"IP-111833","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":374994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Dauwalter, Daniel C.","contributorId":69879,"corporation":false,"usgs":true,"family":"Dauwalter","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":789602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duchi, Antonino","contributorId":224805,"corporation":false,"usgs":false,"family":"Duchi","given":"Antonino","email":"","affiliations":[],"preferred":false,"id":789603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Epifanio, John","contributorId":139202,"corporation":false,"usgs":false,"family":"Epifanio","given":"John","email":"","affiliations":[],"preferred":false,"id":789604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gandolfi, A.J.","contributorId":58843,"corporation":false,"usgs":true,"family":"Gandolfi","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":789605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789606,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Juanes, Francis","contributorId":224807,"corporation":false,"usgs":false,"family":"Juanes","given":"Francis","email":"","affiliations":[],"preferred":false,"id":789607,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789608,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lobon-Cervia, Javier","contributorId":69052,"corporation":false,"usgs":true,"family":"Lobon-Cervia","given":"Javier","email":"","affiliations":[],"preferred":false,"id":789609,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGinnity, Philip","contributorId":224809,"corporation":false,"usgs":false,"family":"McGinnity","given":"Philip","email":"","affiliations":[],"preferred":false,"id":789610,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meraner, Andreas","contributorId":224810,"corporation":false,"usgs":false,"family":"Meraner","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":789611,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mikheev, Pavel","contributorId":224811,"corporation":false,"usgs":false,"family":"Mikheev","given":"Pavel","email":"","affiliations":[],"preferred":false,"id":789612,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morita, Kentaro","contributorId":224812,"corporation":false,"usgs":false,"family":"Morita","given":"Kentaro","email":"","affiliations":[],"preferred":false,"id":789613,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789614,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pinter, Kurt","contributorId":224813,"corporation":false,"usgs":false,"family":"Pinter","given":"Kurt","email":"","affiliations":[],"preferred":false,"id":789615,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Post, John","contributorId":224814,"corporation":false,"usgs":false,"family":"Post","given":"John","email":"","affiliations":[],"preferred":false,"id":789616,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Unfer, Gunther","contributorId":224815,"corporation":false,"usgs":false,"family":"Unfer","given":"Gunther","email":"","affiliations":[],"preferred":false,"id":789617,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Vøllestad, Leif Asbjørn","contributorId":224828,"corporation":false,"usgs":false,"family":"Vøllestad","given":"Leif Asbjørn","affiliations":[],"preferred":false,"id":789664,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Williams, Jack E.","contributorId":93774,"corporation":false,"usgs":true,"family":"Williams","given":"Jack","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":789665,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70208833,"text":"70208833 - 2020 - Broad-scale impacts of an invasive native predator on a sensitive native prey species within the shifting avian community of the North American Great Basin","interactions":[],"lastModifiedDate":"2020-03-03T08:16:45","indexId":"70208833","displayToPublicDate":"2020-02-21T08:12:51","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":"Broad-scale impacts of an invasive native predator on a sensitive native prey species within the shifting avian community of the North American Great Basin","docAbstract":"Human enterprise has modified ecosystem processes through direct and indirect alteration of native predators’ distribution and abundance. For example, human activities subsidize food, water, and shelter availability to generalist predators whose subsequent increased abundance impacts lower trophic-level prey species. The common raven (Corvus corax; hereafter, raven) is an avian predator, native to the northern hemisphere, that can become invasive when subsidized. Raven populations are increasing at unprecedented rates in many regions globally. Information regarding scale of impact and potential ecological thresholds is needed to guide conservation actions aimed at reducing adverse effects on sensitive prey. We conducted a multi-part analysis to investigate broad-scale variation in raven densities and impacts on nesting greater sage-grouse (Centrocercus urophasianus), an indicator species for sagebrush ecosystems in western North America. We estimated raven densities using 16,000 point surveys over 10 years within the Great Basin, USA, and examined associations with anthropogenic and environmental covariates. Average density was 0.54 ravens km-2 (95% CI: 0.42–0.70), with higher densities at lower relative elevations comprising increased agriculture and development. We then used a reduced dataset to estimate the effect of raven density on sage-grouse nest survival (nests = 737). We identified negative impacts to nesting sage-grouse, especially where raven density exceeded ~ 0.40 km-2, a potential ecological threshold. We mapped regions where elevated raven densities were predicted to depress sage-grouse population growth in the absence of compensatory demographic responses from other sage-grouse life-history stages, and found ~ 64% of sage-grouse breeding areas were adversely impacted by high raven density.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2020.108409","usgsCitation":"Coates, P.S., O'Neil, S., Brussee, B.E., Ricca, M.A., Jackson, P.J., Dinkins, J.B., Howe, K., Moser, A.M., Foster, L.J., and Delahunty, D.J., 2020, Broad-scale impacts of an invasive native predator on a sensitive native prey species within the shifting avian community of the North American Great Basin: Biological Conservation, v. 243, 108409, 10 p., https://doi.org/10.1016/j.biocon.2020.108409.","productDescription":"108409, 10 p.","ipdsId":"IP-112833","costCenters":[{"id":651,"text":"Western Ecological Research 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pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Neil, Shawn","contributorId":222928,"corporation":false,"usgs":true,"family":"O'Neil","given":"Shawn","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Pat J.","contributorId":206602,"corporation":false,"usgs":false,"family":"Jackson","given":"Pat","email":"","middleInitial":"J.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":783552,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dinkins, Jonathan B.","contributorId":177565,"corporation":false,"usgs":false,"family":"Dinkins","given":"Jonathan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":783553,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Howe, Kristy B.","contributorId":192078,"corporation":false,"usgs":false,"family":"Howe","given":"Kristy B.","affiliations":[],"preferred":false,"id":783554,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moser, Ann M.","contributorId":206592,"corporation":false,"usgs":false,"family":"Moser","given":"Ann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":783555,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Foster, Lee J.","contributorId":201654,"corporation":false,"usgs":false,"family":"Foster","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":783556,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Delahunty, David J","contributorId":221820,"corporation":false,"usgs":false,"family":"Delahunty","given":"David","email":"","middleInitial":"J","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":783557,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70210545,"text":"70210545 - 2020 - Assessment of population genetics and climatic variability can refine climate‐informed seed transfer guidelines","interactions":[],"lastModifiedDate":"2020-06-09T12:13:40.087852","indexId":"70210545","displayToPublicDate":"2020-02-21T07:11:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of population genetics and climatic variability can refine climate‐informed seed transfer guidelines","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Restoration guidelines increasingly recognize the importance of genetic attributes in translocating native plant materials (NPMs). However, when species‐specific genetic information is unavailable, seed transfer guidelines use climate‐informed seed transfer zones (CSTZs) as an approximation. While CSTZs may improve how NPMs are developed and/or matched to restoration sites, they overlook genetic factors that can diminish restoration success and/or deteriorate natural patterns of genetic diversity and environmental factors that may introduce unexpected variation. Here, we analyze molecular data and geographic patterns of environmental variability across the western United States and demonstrate how they can refine CSTZs. Using genetic data available for 13 relevant plant species, we found that the probability of mixing genetically differentiated individuals (i.e. from different evolutionary lineages, or populations) was approximately 8% when considering locations separated by 50 km and reached nearly 80% by 500 km, which are distances relevant to ecoregionally constrained CSTZs. Furthermore, climate analyses revealed that geographically proximate locations are likely to maintain environmental similarity, regardless of CSTZ or ecoregion assignment. These results suggest constraining CSTZ‐informed seed transfer decisions by distance may mitigate the opportunity for negative genetic outcomes. Furthermore, environmental variability and/or specificity of NPMs (depending upon the restoration strategy) should be achieved by sourcing NPMs from geographically proximate locations to avoid introducing excessive genetic differentiation. Our results highlight the utility of combining molecular genetic data with other genetic inferences (i.e. of adaptation) to determine how best to transfer seed across restoration species' ranges and develop new restoration materials.</p></div></div><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13142","usgsCitation":"Massatti, R., Shriver, R.K., Winkler, D.E., Richardson, B.A., and Bradford, J., 2020, Assessment of population genetics and climatic variability can refine climate‐informed seed transfer guidelines: Restoration Ecology, v. 28, no. 3, p. 485-493, https://doi.org/10.1111/rec.13142.","productDescription":"9 p.","startPage":"485","endPage":"493","ipdsId":"IP-111586","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437098,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZY6MWI","text":"USGS data release","linkHelpText":"Population genetic and climatic variability data across western North America, 1915-2015"},{"id":375451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":790607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shriver, Robert K. 0000-0002-4590-4834","orcid":"https://orcid.org/0000-0002-4590-4834","contributorId":210332,"corporation":false,"usgs":true,"family":"Shriver","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":790608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":790609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, Bryce A.","contributorId":207820,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","email":"","middleInitial":"A.","affiliations":[{"id":37640,"text":"U.S.D.A. Forest Service Rocky Mountain Research Station, Provo, UT, 84606 USA","active":true,"usgs":false}],"preferred":false,"id":790610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":790611,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209068,"text":"70209068 - 2020 - Ichthyophonus sp. Infection in Opaleye (Girella nigricans)","interactions":[],"lastModifiedDate":"2020-03-13T06:56:46","indexId":"70209068","displayToPublicDate":"2020-02-21T06:55:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3687,"text":"Veterinary Pathology","active":true,"publicationSubtype":{"id":10}},"title":"Ichthyophonus sp. Infection in Opaleye (Girella nigricans)","docAbstract":"Over a 3-year-period, 17 wild-caught opaleye (Girella nigricans) housed in a public display aquarium were found dead without premonitory signs. Grossly, 4 animals had pinpoint brown or black foci on coelomic adipose tissue. Histologically, liver, spleen, heart, and posterior kidney had mesomycetozoan granulomas in all cases; other organs were less commonly infected. Four opaleye had goiter; additional substantial lesions were not identified. Granulomas surrounded melanized debris, leukocytes, and mesomycetozoa represented by folded membranes (collapsed schizont walls), intact schizonts (50- to >200 µm in diameter with a multilaminate membrane), plasmodia (budding from schizonts or free in tissue), or rarely germinal tubes (budding from schizonts). Ichthyophonus was grown from fresh tissues in tissue explant broth cultures of the heart, liver, and/or spleen. Polymerase chain reaction using 18S ribosomal DNA primers amplified a 1730-bp region, and the DNA sequence was most similar to Ichthyophonus hoferi, which is often associated with freshwater aquaculture fish.","language":"English","publisher":"SAGE Journals","doi":"10.1177/0300985819900015","usgsCitation":"LaDouceur, E., St. Leger, J., Mena, A., MacKenzie, A., Gregg, J., Purcell, M.K., Batts, W.N., and Hershberger, P., 2020, Ichthyophonus sp. Infection in Opaleye (Girella nigricans): Veterinary Pathology, v. 57, no. 2, p. 316-320, https://doi.org/10.1177/0300985819900015.","productDescription":"5 p.","startPage":"316","endPage":"320","ipdsId":"IP-111483","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":457648,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/0300985819900015","text":"Publisher Index Page"},{"id":373228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"LaDouceur, Elise E. B","contributorId":223265,"corporation":false,"usgs":false,"family":"LaDouceur","given":"Elise E. B","affiliations":[{"id":40698,"text":"Joint Pathology Center, Silver Spring, MD","active":true,"usgs":false}],"preferred":false,"id":784703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"St. Leger, Judy","contributorId":223266,"corporation":false,"usgs":false,"family":"St. Leger","given":"Judy","email":"","affiliations":[{"id":25346,"text":"Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":784704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mena, Alexandria","contributorId":223267,"corporation":false,"usgs":false,"family":"Mena","given":"Alexandria","email":"","affiliations":[{"id":40699,"text":"SeaWorld, San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":784705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacKenzie, Ashley 0000-0002-7402-7877 amackenzie@usgs.gov","orcid":"https://orcid.org/0000-0002-7402-7877","contributorId":150817,"corporation":false,"usgs":true,"family":"MacKenzie","given":"Ashley","email":"amackenzie@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gregg, Jacob jgregg@usgs.gov","contributorId":140132,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784707,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784708,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784709,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hershberger, Paul 0000-0002-2261-7760 phershberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":150816,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784710,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70208630,"text":"70208630 - 2020 - Local sea level rise information sheets for Texas, Louisiana, Mississippi, Alabama and Florida","interactions":[],"lastModifiedDate":"2020-02-24T06:54:18","indexId":"70208630","displayToPublicDate":"2020-02-21T06:51:23","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Local sea level rise information sheets for Texas, Louisiana, Mississippi, Alabama and Florida","docAbstract":"Two Pagers for Federally Managed Lands\nThe Northern Gulf of Mexico Sentinel Site Cooperative partnered with individuals at the U.S. Geological Survey’s Wetland and Aquatic Research Center and the U.S. Fish and Wildlife Service to produce customized two-pager information sheets for federal coastal refuges, parks, and reserves across the northern Gulf of Mexico (i.e., sea-level rise sensitive federally-managed lands within Texas, Louisiana, Alabama, Mississippi, and Florida). The project was funded by the Department of the Interior Southeast Climate Adaptation Science Center, and the project team included Bogdan Chivoiu (Cherokee Nation Technologies at USGS), Michael Osland (USGS), Renee Collini (Northern Gulf of Mexico Sentinel Site Cooperative), Sara Martin (Northern Gulf of Mexico Sentinel Site Cooperative), Benjamin Wilson (NAS Science Policy Fellow at USFWS) and John Tirpak (USFWS). The project team is grateful to the many individuals that provided helpful comments on earlier drafts of these two pagers.","language":"English","publisher":"Mississippi-Alabama Sea Grant Consortium","collaboration":"DOI Southeast Climate Adaptation Science Center, Northern Gulf of Mexico Sentinel Site Cooperative, U.S. Fish and Wildlife Service","usgsCitation":"Chivoiu, B., Osland, M.J., Collini, R.C., Martin, S., Tirpak, J.M., and Wilson, B., 2020, Local sea level rise information sheets for Texas, Louisiana, Mississippi, Alabama and Florida, HTML.","productDescription":"HTML","ipdsId":"IP-106832","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":372503,"type":{"id":15,"text":"Index Page"},"url":"https://masgc.org/northern-gulf-of-mexico-sentinel-site-co/two-pager"},{"id":372536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas, Louisiana, Mississippi, Alabama, Florida","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-87.984916,35.005881],[-85.605165,34.984678],[-85.188741,32.889727],[-84.93868,32.300708],[-85.141831,31.839261],[-85.041881,31.544684],[-85.096763,31.225651],[-84.864693,30.711542],[-82.287343,30.573458],[-82.101416,30.366556],[-81.962739,30.813636],[-81.472597,30.713312],[-81.256711,29.784693],[-80.567361,28.562353],[-80.566432,28.09563],[-80.031362,26.796339],[-80.127394,25.791224],[-80.409103,25.25346],[-81.079859,25.118797],[-81.362272,25.824401],[-81.727086,25.907207],[-81.868983,26.378648],[-82.094748,26.48393],[-82.076349,26.958263],[-82.147068,26.789803],[-82.301736,26.841588],[-82.714521,27.500415],[-82.393383,27.837519],[-82.716522,27.958398],[-82.566819,27.858002],[-82.721622,27.663908],[-82.851126,27.8863],[-82.674787,28.441956],[-82.702618,28.932955],[-82.827073,29.158425],[-83.018212,29.151417],[-83.679219,29.918513],[-84.000716,30.096209],[-85.343619,29.672004],[-85.405052,29.938487],[-86.2987,30.363049],[-88.014572,30.222366],[-87.766626,30.262353],[-88.008396,30.684956],[-88.191542,30.317002],[-89.315067,30.375408],[-89.461275,30.174745],[-89.854533,30.007821],[-89.711158,29.879287],[-89.418465,30.049747],[-89.231178,29.925484],[-89.42421,29.697638],[-89.598068,29.74757],[-89.487915,29.630405],[-89.681092,29.534487],[-89.02185,29.218162],[-89.09126,29.066931],[-89.383814,28.947434],[-89.447472,29.178576],[-89.782149,29.311132],[-89.832898,29.463536],[-90.01251,29.462775],[-90.097678,29.26199],[-90.019772,29.231903],[-90.174273,29.105301],[-90.343293,29.057062],[-90.311523,29.256374],[-90.495299,29.287277],[-90.811473,29.03658],[-91.278792,29.247776],[-91.258226,29.446954],[-91.854677,29.807436],[-92.134347,29.669516],[-91.719102,29.565568],[-91.848665,29.484144],[-93.267456,29.778113],[-94.056506,29.671163],[-94.731047,29.369141],[-94.532348,29.5178],[-94.767246,29.525523],[-94.692434,29.70361],[-94.816085,29.75671],[-95.015636,29.639457],[-94.894234,29.338],[-95.16525,29.113566],[-94.73132,29.338066],[-94.803695,29.279237],[-96.341617,28.417334],[-95.983106,28.641942],[-96.221784,28.580364],[-96.287942,28.683164],[-96.473694,28.57324],[-96.664534,28.696904],[-96.481836,28.407844],[-96.790235,28.383926],[-96.898123,28.152881],[-97.21535,28.076575],[-97.040618,28.028708],[-97.183455,27.833231],[-97.354614,27.849572],[-97.296598,27.613947],[-97.399398,27.344735],[-97.640111,27.270943],[-97.485149,27.250841],[-97.552325,26.867633],[-97.145567,25.971132],[-97.445113,25.850026],[-97.711145,26.033043],[-98.20496,26.066419],[-99.110855,26.426278],[-99.452316,27.062669],[-99.556812,27.614336],[-99.841708,27.766464],[-100.280518,28.267969],[-100.785521,29.228137],[-101.441059,29.753451],[-102.341033,29.869305],[-102.698347,29.695591],[-103.107811,29.013812],[-103.427754,29.042334],[-104.46652,29.609296],[-104.924796,30.604832],[-106.158218,31.438885],[-106.623933,31.925335],[-103.088698,32.000453],[-103.041924,36.500439],[-100.003762,36.499699],[-100.000381,34.560509],[-99.630905,34.376007],[-99.381011,34.456936],[-99.192104,34.216694],[-98.504182,34.072371],[-98.138979,34.141805],[-97.905467,33.863531],[-97.688023,33.986607],[-97.372941,33.819454],[-97.226522,33.914642],[-97.126102,33.716941],[-96.922114,33.959579],[-96.36959,33.716809],[-95.230491,33.960764],[-94.413155,33.569368],[-94.100107,33.572568],[-94.043036,33.079485],[-93.814553,33.019372],[-91.166073,33.004106],[-91.057621,33.445341],[-91.210275,33.433796],[-91.086758,33.95827],[-90.874541,34.072041],[-90.93268,34.214824],[-90.580677,34.410554],[-90.483969,34.877176],[-90.34038,34.860357],[-90.293083,34.974574],[-87.984916,35.005881]]],[[[-81.582923,24.658732],[-81.451267,24.747464],[-81.298028,24.656774],[-81.765993,24.552103],[-81.582923,24.658732]]],[[[-84.777208,29.707398],[-84.696726,29.76993],[-85.036219,29.588919],[-84.777208,29.707398]]],[[[-82.255777,26.703437],[-82.038403,26.456907],[-82.186441,26.489221],[-82.255777,26.703437]]],[[[-80.250581,25.34193],[-80.611693,24.93842],[-80.192336,25.473331],[-80.250581,25.34193]]],[[[-88.865067,29.752714],[-88.940346,29.657234],[-88.86972,30.043798],[-88.865067,29.752714]]],[[[-97.240849,26.411504],[-97.383531,26.875521],[-97.366771,27.333276],[-96.946988,28.026522],[-96.403206,28.371475],[-96.929053,27.99044],[-97.276091,27.472145],[-97.370731,26.909706],[-97.161471,26.088705],[-97.240849,26.411504]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA  \"}}]}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chivoiu, Bogdan 0000-0002-4568-3496","orcid":"https://orcid.org/0000-0002-4568-3496","contributorId":206950,"corporation":false,"usgs":true,"family":"Chivoiu","given":"Bogdan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":782820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":782821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collini, Renee C.","contributorId":195567,"corporation":false,"usgs":false,"family":"Collini","given":"Renee","email":"","middleInitial":"C.","affiliations":[{"id":34311,"text":"Northern Gulf of Mexico Sentinel Site Cooperative, Dauphin Island, AL, USA","active":true,"usgs":false}],"preferred":false,"id":782822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Sara","contributorId":222663,"corporation":false,"usgs":false,"family":"Martin","given":"Sara","email":"","affiliations":[{"id":40583,"text":"Northern Gulf of Mexico Sentinel Site Cooperative","active":true,"usgs":false}],"preferred":false,"id":782825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tirpak, John M.","contributorId":191024,"corporation":false,"usgs":false,"family":"Tirpak","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":34307,"text":"U.S. Fish and Wildlife Service, Lafayette, LA, USA","active":true,"usgs":false}],"preferred":false,"id":782823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Benjamin","contributorId":222662,"corporation":false,"usgs":false,"family":"Wilson","given":"Benjamin","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":782824,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70205932,"text":"ofr20191114 - 2020 - Multiple-well monitoring site adjacent to the Lost Hills oil field, Kern County, California","interactions":[],"lastModifiedDate":"2022-04-21T19:06:53.614311","indexId":"ofr20191114","displayToPublicDate":"2020-02-21T06:25:13","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":"2019-1114","displayTitle":"Multiple-Well Monitoring Site Adjacent to the Lost Hills Oil Field, Kern County, California","title":"Multiple-well monitoring site adjacent to the Lost Hills oil field, Kern County, California","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the California State Water Resources Control Board, is evaluating several questions about oil and gas development and groundwater resources in California, including (1) the location of groundwater resources; (2) the proximity of oil and gas operations and groundwater and the geologic materials between them; (3) the location of evidence (or no evidence) of fluids from oil and gas sources in groundwater; and (4) the pathways or processes responsible when fluids from oil and gas sources are present in groundwater (U.S. Geological Survey, 2019). As part of this evaluation, the USGS installed a multiple-well monitoring site in the southern San Joaquin Valley near Lost Hills, California, adjacent to the Lost Hills oil field. Data collected at the Lost Hills multiple-well monitoring site (LHSP) provide information about the geology, hydrology, geophysics, and geochemistry of the aquifer system, thus enhancing understanding of relations between adjacent groundwater and the Lost Hills oil field in an area where there is little groundwater data. This report presents construction information for the LHSP and initial geohydrologic data collected from the site.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191114","collaboration":"Prepared in cooperation with California State Water Resources Control Board","usgsCitation":"Everett, R.R., Kjos, A., Brown, A.A., Gillespie, J.M., and McMahon, P.B., 2020, Multiple-well monitoring site adjacent to the Lost Hills oil field, Kern County, California: U.S. Geological Survey Open-File Report 2019–1114, 8 p., https://doi.org/10.3133/ofr20191114.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","ipdsId":"IP-104714","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":437100,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LGXIN8","text":"USGS data release","linkHelpText":"Aquifer test data for multiple-well monitoring site LHSP, Kern County, California"},{"id":399418,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109721.htm"},{"id":372427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1114/coverthb.jpg"},{"id":372428,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1114/ofr20191114.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"Kern County","otherGeospatial":"Lost Hills Oil Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.0167,\n              35.5294\n            ],\n            [\n              -119.4833,\n              35.5294\n            ],\n            [\n              -119.4833,\n              35.7667\n            ],\n            [\n              -120.0167,\n              35.7667\n            ],\n            [\n              -120.0167,\n              35.5294\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-02-21","noUsgsAuthors":false,"publicationDate":"2020-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Everett, Rhett R. 0000-0001-7983-6270","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":208212,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett","email":"","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kjos, Adam 0000-0002-2722-3306 adamkjos@usgs.gov","orcid":"https://orcid.org/0000-0002-2722-3306","contributorId":4130,"corporation":false,"usgs":true,"family":"Kjos","given":"Adam","email":"adamkjos@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Anthony A. 0000-0001-9925-0197","orcid":"https://orcid.org/0000-0001-9925-0197","contributorId":219711,"corporation":false,"usgs":true,"family":"Brown","given":"Anthony","email":"","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":203915,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":772939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208866,"text":"70208866 - 2020 - Movements and habitat use of loons for assessment of conservation buffer zones in the Arctic Coastal Plain of northern Alaska","interactions":[],"lastModifiedDate":"2020-03-03T14:01:46","indexId":"70208866","displayToPublicDate":"2020-02-20T14:00:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Movements and habitat use of loons for assessment of conservation buffer zones in the Arctic Coastal Plain of northern Alaska","docAbstract":"Oil and gas development in the Arctic Coastal Plain, Alaska, may pose threats to wildlife.  Management guidelines within the National Petroleum Reserve-Alaska dictate buffer zones for coastal wildlife habitat and for breeding and foraging sites of yellow-billed loons (YBLOs; Gavia adamsii), a species of conservation concern.  However, few data exist to assess the value of these buffer zones for YBLOs or for sympatrically breeding red-throated loons (RTLOs; G. stellata) and Pacific loons (PALOs; G. pacifica).  We evaluated movements of these loons on the Arctic Coastal Plain to understand: 1) seasonal timing; 2) marine habitat use; and 3) spatial characteristics of breeding home ranges.  We then used those findings to evaluate current management strategies in the context of loon biology.  Compared to RTLOs and PALOs, YBLOs nested on larger lakes, stayed on them longer, had larger home ranges, but less frequently used the marine environment in summer.  During autumn, YBLOs and PALOs were located farther from shore than during spring or summer, whereas RTLOs used the marine environment similarly during all three seasons.  Management buffers established for YBLO nesting areas corresponded well with nest site space use of all three species, suggesting cross-taxa applicability of current management guidelines for nesting habitat.  However, the majority of loon locations on the Arctic Coastal Plain were outside of coastal buffer zones established to protect fish and wildlife habitat within the National Petroleum Reserve-Alaska.  These findings can inform assessment of conservation buffer zones to mitigate anthropogenic disturbance to loons in Alaska.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2020.e00980","usgsCitation":"Poessel, S.A., Uher-Koch, B.D., Pearce, J.M., Schmutz, J.A., Katzner, T., Douglas, D., von Biela, V.R., and Harrison, A., 2020, Movements and habitat use of loons for assessment of conservation buffer zones in the Arctic Coastal Plain of northern Alaska: Global Ecology and Conservation, v. 22, e00980, https://doi.org/10.1016/j.gecco.2020.e00980.","productDescription":"e00980","ipdsId":"IP-112268","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457650,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2020.e00980","text":"Publisher Index Page"},{"id":437102,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UKHJ22","text":"USGS data release","linkHelpText":"Tracking data for Yellow-billed Loons (Gavia adamsii)"},{"id":437101,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NNN2XY","text":"USGS data release","linkHelpText":"Tracking Data for Pacific Loons (Gavia pacifica)"},{"id":372873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.240234375,\n              68.43151284537514\n            ],\n            [\n              -140.80078125,\n              69.56522590149099\n            ],\n            [\n              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jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","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":783738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","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":783737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 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,{"id":70208018,"text":"sir20205004 - 2020 - Stormwater quality of infrastructure elements in Rapid City, South Dakota, 2016–18","interactions":[],"lastModifiedDate":"2022-04-25T20:51:46.467441","indexId":"sir20205004","displayToPublicDate":"2020-02-20T12:18:20","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5004","displayTitle":"Stormwater Quality of Infrastructure Elements in Rapid City, South Dakota, 2016–18","title":"Stormwater quality of infrastructure elements in Rapid City, South Dakota, 2016–18","docAbstract":"<p>As runoff flows over the land or impervious surfaces (paved streets, parking lots, and building roofs), it accumulates debris, chemicals, sediment, and other contaminants that can adversely affect water quality if the runoff discharge remains untreated. Pathogens, commonly measured using fecal indicator bacteria such as <i>Escherichia coli</i>, enterococci, or fecal coliform, are the most-frequent cause of water-quality impairment in rivers and streams in the United States. Rapid Creek originates in the western Black Hills area and flows east through Rapid City, South Dakota, to its mouth at the Cheyenne River. The water quality of Rapid Creek is important because the reach that flows through Rapid City is a valuable spawning area for a self-sustaining trout fishery, is actively used for recreation, and is a seasonal municipal water supply for the City of Rapid City. These uses (fishery, recreation, and water supply) are considered beneficial uses by the South Dakota Department of Environment and Natural Resources. Numerical criteria have been established for total suspended solids and <i>Escherichia coli</i> concentrations, among other water-quality constituents, for these beneficial uses. The objectives of this study were to improve the method by which fecal indicator bacteria and total suspended solids are quantified in the urban drainages within Rapid City and to provide information that helps identify origins of fecal indicator bacteria and total suspended solids. This information can be used in hydrologic models to estimate fecal indicator bacteria and total suspended solid loading from certain infrastructure elements in urban environments.</p><p>Stormwater samples analyzed for <i>Escherichia coli</i>, total suspended solids, specific conductance, and pH were collected in three drainage basin flowpaths within Rapid City: Jackson, Wildwood, and the Eco Prayer Park. Data-collection activities for this study focused on upgradient urban flowpath elements during rainfall events. This approach builds upon previous stormwater assessments that characterized the water quality in urban basin outlets near the downstream end of the stormwater flowpaths. Within each flowpath group, 4–6 sites were selected to represent the various infrastructure elements of the runoff process. These elements included roof downspouts, parking lots, street curbs and gutters, open channels, underground storm sewers, and stormwater ponds or best-management practice facilities.</p><p>In general, the concentrations of <i>Escherichia coli</i> and total suspended solids increased in the downstream direction for all flowpath sites. The wash-off process after the first flush is evident for total suspended solids and specific conductance; however, <i>Escherichia coli</i> concentrations did not necessarily follow the same pattern. <i>Escherichia coli</i> concentrations in the latter part of the runoff period were similar to or greater than the initial concentrations of the first set of samples. Stormwater-quality data were summarized by infrastructure type (roof downspout, parking lot, street curb, and channel/storm sewer) to provide information about approximate water-quality concentrations originating at the upper end of urban flowpaths. <i>Escherichia coli</i> and total suspended solid concentrations were lowest in samples collected from locations most isolated from human influence (roof downspouts); the median concentrations at these sites were 4 most probable number per 100 milliliters and 15 milligrams per liter, respectively. The delivery potential of fecal indicator bacteria and sediment from parking lots and street curbs was similar; median concentrations of <i>Escherichia coli</i> and total suspended solids were around 150–220 most probable number per 100 milliliters and 56–86 milligrams per liter, respectively. The downstream receiving channels and storm sewers where stormwater was aggregated typically contained the highest <i>Escherichia coli</i> concentrations (median was 1,800 most probable number per 100 milliliters), but the total suspended solid concentrations were similar to upstream elements in the flowpath (median was 69 milligrams per liter). The data collected from this study demonstrate that stormwater is contaminated with fecal indicator bacteria upon initial contact with impervious surfaces and highlight the importance of controlling the volume of stormwater discharges into receiving waterbodies via storage structures and pervious elements. Diluting stormwater with high concentrations of <i>Escherichia coli</i> with the receiving water’s (Rapid Creek) lower concentration of <i>Escherichia coli</i> is likely the primary mechanism for meeting the beneficial-use criterion threshold of 235 most probable number per 100 milliliters. Although total suspended solid concentrations in the upper parts of the basin (parking lots and street curbs) also begin at concentrations (56 to 86 milligrams per liter) above the beneficial-use criterion for Rapid Creek (53 milligrams per liter), current stormwater-control practices (storage ponds, swales, and wetlands) may be able to reduce suspended-sediment concentrations to meet this threshold.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205004","collaboration":"Prepared in cooperation with the City of Rapid City","usgsCitation":"Hoogestraat, G.K., 2020, Stormwater quality of infrastructure elements in Rapid City, South Dakota, 2016–18: U.S. Geological Survey Scientific Investigations Report 2020–5004, 24 p., https://doi.org/10.3133/sir20205004.","productDescription":"Report: vii, 24 p.; Appendix; Dataset","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-108184","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":399627,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109723.htm"},{"id":372437,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"National Water Information System database","linkHelpText":"– USGS water data for the Nation"},{"id":372436,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5004/sir20205004_appendix1.csv","text":"Appendix 1","size":"12.8 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2020–5004 Appendix 1"},{"id":372434,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5004/coverthb.jpg"},{"id":372435,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5004/sir20205004.pdf","text":"Report","size":"3.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5004"}],"country":"United States","state":"South Dakota","city":"Rapid City","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.32,\n              44.0111\n            ],\n            [\n              -103.1364,\n              44.0111\n            ],\n            [\n              -103.1364,\n              44.125\n            ],\n            [\n              -103.32,\n              44.125\n            ],\n            [\n              -103.32,\n              44.0111\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/dakota-water\" href=\"https://www.usgs.gov/centers/dakota-water\">Dakota Water Science Center</a> <br>U.S. Geological Survey<br>821 East Interstate Avenue<br>Bismarck, ND 58503 <br>1608 Mountain View Road<br>Rapid City, SD 57702</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Stormwater Quality of Infrastructure Elements</li><li>Summary</li><li>References Cited</li><li>Appendix 1 Stormwater-Quality Data</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-02-20","noUsgsAuthors":false,"publicationDate":"2020-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hoogestraat, Galen K. 0000-0001-5360-3903 ghoogest@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-3903","contributorId":167614,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen","email":"ghoogest@usgs.gov","middleInitial":"K.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780163,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208495,"text":"sir20195145 - 2020 - Hydrogeology and interactions of groundwater and surface water near Mill Creek and the Herring River, Wellfleet, Massachusetts, 2017–18","interactions":[],"lastModifiedDate":"2022-04-25T20:25:23.43755","indexId":"sir20195145","displayToPublicDate":"2020-02-20T12:00:00","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":"2019-5145","displayTitle":"Hydrogeology and Interactions of Groundwater and Surface Water Near Mill Creek and the Herring River, Wellfleet, Massachusetts, 2017–18","title":"Hydrogeology and interactions of groundwater and surface water near Mill Creek and the Herring River, Wellfleet, Massachusetts, 2017–18","docAbstract":"<p>Groundwater levels and stream stage were monitored by the U.S. Geological Survey, in cooperation with the Friends of Herring River, at 19 sites in the Mill Creek Basin, a tributary of the Herring River in Wellfleet, Massachusetts, on outer Cape Cod, to provide baseline data prior to a proposed restoration of tidal flow to the Herring River estuary at the Cape Cod National Seashore. Tidal flow in the Herring River has been restricted by a tide-control structure since 1909. Baseline data are necessary to understand current conditions and provide information on water levels for comparison to future water levels under the proposed Herring River restoration, which includes restoration of salt marshes by enhancing tidal flow to the Herring River and construction of a tide-control structure on Mill Creek to prevent the flooding of upstream private properties, including a golf course.</p><p>Analysis of data collected during monitoring-well installation at eight locations on or near the golf course and Mill Creek, along with analysis of existing information, determined that parts of the study area are underlain by salt marsh deposits up to 18 feet (ft) thick. These marsh deposits are directly underlain by estuarine sediments, and adjacent upland areas are underlain by medium to very coarse sand. The freshwater lens on the golf course is 70 ft thick or more.</p><p>Groundwater levels at individual wells in the study area fluctuated by 1.3 to 2.6 ft during the study period (June 1, 2017, to June 14, 2018). Total precipitation during this period was 60.8 inches, about 10 inches greater than the long-term (2000–17) annual average (50.3 inches). Groundwater levels on Cape Cod generally were normal to above normal during the study owing to the higher than normal precipitation. Tidal amplitudes of groundwater levels caused by daily fluctuations at nearby tidal waterbodies (M2 tidal harmonic) were as large as 0.12 ft at a well 105 ft from the tidally restricted Herring River and as large as 0.06 ft at a well 575 ft from Wellfleet Harbor. Tidal fluctuations in groundwater levels were generally limited to areas about 1,500 ft from the nearest tidal waterbody. Under the initial proposed restoration, where mean tides would be maintained similar to current conditions, tidal fluctuations would be restored to parts of Mill Creek, and subsequent tidal fluctuations in groundwater levels could increase at some of the areas closest to the proposed tide-control structure, but the fluctuations would be less than about 0.06 ft in magnitude.</p><p>Regression models were used to describe the variability of daily mean tidally filtered groundwater levels and daily maximum stream stage in Mill Creek. Significant independent variables for the groundwater-level model included daily tidally filtered Wellfleet Harbor stage with a lag time of zero to 2 days, 7-day precipitation, the growing degree days (50 degrees Fahrenheit), and the quartile of groundwater levels relative to a long period of record at a nearby observation well.</p><p>Significant independent variables to predict the Mill Creek stage included daily mean groundwater levels in nearby wells, 7-day precipitation, growing degree days (50 degrees Fahrenheit), and a binary indicator of either a flooded or nonflooded condition on the golf course near Mill Creek. Flooding in Mill Creek occurred primarily when groundwater levels at nearby wells reached certain thresholds, when the precipitation in the preceding 7 days was at least 0.92–1.04 inches, and during the nongrowing season.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195145","collaboration":"Prepared in cooperation with the Friends of Herring River","usgsCitation":"Mullaney, J.R., Barclay, J.R., Laabs, K.L., and Lavallee, K.D., 2020, Hydrogeology and interactions of groundwater and surface water near Mill Creek and the Herring River, Wellfleet, Massachusetts, 2017–18: U.S. Geological Survey Scientific Investigations Report 2019–5145, 60 p., https://doi.org/10.3133/sir20195145.","productDescription":"Report: viii, 60 p.; Data Release; Project Site","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-103306","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":437103,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P903HI9K","text":"USGS data release","linkHelpText":"Data on Models to Describe Groundwater Levels and Stream Stage near the Herring River, Wellfleet, Cape Cod, Massachusetts, 2017-2022"},{"id":399619,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109683.htm"},{"id":372270,"rank":4,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/centers/new-england-water/science/groundwater-and-surface-water-monitoring-mill-creek-watershed","text":"Project site","linkHelpText":"- Groundwater and Surface-Water Monitoring in the Mill Creek Watershed, Wellfleet and Truro, Massachusetts"},{"id":372269,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T167II","text":"USGS data release","linkHelpText":"Data on Tidally Filtered Groundwater and Estuary Water Levels, and Climatological Data Near Mill Creek and the Herring River, Cape Cod, Wellfleet, Massachusetts, 2017–2018"},{"id":372451,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5145/sir20195145.pdf","text":"Report","size":"6.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5145"},{"id":372267,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5145/coverthb2.jpg"}],"country":"United States","state":"Massachusetts","county":"Barnstable County","city":"Wellfleet","otherGeospatial":"Mill Creek, Herring River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.06719589233398,\n              41.92412111618309\n            ],\n            [\n              -70.04968643188475,\n              41.92412111618309\n            ],\n            [\n              -70.04968643188475,\n              41.9377858285046\n            ],\n            [\n              -70.06719589233398,\n              41.9377858285046\n            ],\n            [\n              -70.06719589233398,\n              41.92412111618309\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"http://www.usgs.gov/centers/new-england-water\" data-mce-href=\"http://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>331 Commerce Way, Suite 2<br>Pembroke, New Hampshire 03275</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Data Collection and Analysis</li><li>Lithologic and Water-Level Data at the Mill Creek Study Area</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Graphs of Water Levels in Wells Monitored for the Study of the Mill Creek Study Area, June 2017–June 2018</li><li>Appendix 2. Regression Coefficients and Metrics for Linear Regression Models Describing the Variability in Groundwater Levels and Surface-Water Levels Near the Herring River, Wellfleet, Massachusetts, From June 2017 To June 2018</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-02-12","noUsgsAuthors":false,"publicationDate":"2020-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Mullaney, John R. 0000-0003-4936-5046 jmullane@usgs.gov","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":1957,"corporation":false,"usgs":true,"family":"Mullaney","given":"John","email":"jmullane@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laabs, Kaitlin L. 0000-0002-7798-3485 klaabs@usgs.gov","orcid":"https://orcid.org/0000-0002-7798-3485","contributorId":222438,"corporation":false,"usgs":true,"family":"Laabs","given":"Kaitlin","email":"klaabs@usgs.gov","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lavallee, Katherine D. 0000-0003-0747-9344","orcid":"https://orcid.org/0000-0003-0747-9344","contributorId":222439,"corporation":false,"usgs":false,"family":"Lavallee","given":"Katherine","email":"","middleInitial":"D.","affiliations":[],"preferred":true,"id":782153,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250326,"text":"70250326 - 2020 - Paleo-metagenomics of North American fossil packrat middens: Past biodiversity revealed by ancient DNA","interactions":[],"lastModifiedDate":"2023-12-04T15:40:31.66227","indexId":"70250326","displayToPublicDate":"2020-02-20T09:38:36","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":"Paleo-metagenomics of North American fossil packrat middens: Past biodiversity revealed by ancient DNA","docAbstract":"<p><span>Fossil rodent middens are powerful tools in paleoecology. In arid parts of western North America, packrat (</span><i>Neotoma</i><span>&nbsp;spp.) middens preserve plant and animal remains for tens of thousands of years. Midden contents are so well preserved that fragments of endogenous ancient DNA (aDNA) can be extracted and analyzed across millennia. Here, we explore the use of shotgun metagenomics to study the aDNA obtained from packrat middens up to 32,000 C</span><sup>14</sup><span>&nbsp;years old. Eleven Illumina HiSeq 2500 libraries were successfully sequenced, and between 0.11% and 6.7% of reads were classified using Centrifuge against the NCBI “nt” database. Eukaryotic taxa identified belonged primarily to vascular plants with smaller proportions mapping to ascomycete fungi, arthropods, chordates, and nematodes. Plant taxonomic diversity in the middens is shown to change through time and tracks changes in assemblages determined by morphological examination of the plant remains. Amplicon sequencing of ITS2 and&nbsp;</span><i>rbcL</i><span>&nbsp;provided minimal data for some middens, but failed at amplifying the highly fragmented DNA present in others. With repeated sampling and deep sequencing, analysis of packrat midden aDNA from well-preserved midden material can provide highly detailed characterizations of past communities of plants, animals, bacteria, and fungi present as trace DNA fossils. The prospects for gaining more paleoecological insights from aDNA for rodent middens will continue to improve with optimization of laboratory methods, decreasing sequencing costs, and increasing computational power.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6082","usgsCitation":"Moore, G., Tessler, M., Cunningham, S., Betancourt, J.L., and Harbert, R., 2020, Paleo-metagenomics of North American fossil packrat middens: Past biodiversity revealed by ancient DNA: Ecology and Evolution, v. 10, p. 2530-2544, https://doi.org/10.1002/ece3.6082.","productDescription":"15 p.","startPage":"2530","endPage":"2544","ipdsId":"IP-116757","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":457653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6082","text":"Publisher Index Page"},{"id":423176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2020-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Grace","contributorId":332110,"corporation":false,"usgs":false,"family":"Moore","given":"Grace","email":"","affiliations":[{"id":79384,"text":"Smith College (Northampton, MA)","active":true,"usgs":false}],"preferred":false,"id":889462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tessler, Michael","contributorId":247608,"corporation":false,"usgs":false,"family":"Tessler","given":"Michael","email":"","affiliations":[{"id":49589,"text":"Division of Invertebrate Zoology, American Museum of Natural History, Central Park West at 79th Street, New York, NY 10024, USA","active":true,"usgs":false}],"preferred":false,"id":889463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cunningham, Seth","contributorId":332111,"corporation":false,"usgs":false,"family":"Cunningham","given":"Seth","email":"","affiliations":[{"id":79386,"text":"Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY","active":true,"usgs":false}],"preferred":false,"id":889464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":889465,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harbert, Robert","contributorId":332112,"corporation":false,"usgs":false,"family":"Harbert","given":"Robert","email":"","affiliations":[{"id":79387,"text":"Stonehill College (MA)","active":true,"usgs":false}],"preferred":false,"id":889466,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}