{"pageNumber":"279","pageRowStart":"6950","pageSize":"25","recordCount":40783,"records":[{"id":70227153,"text":"70227153 - 2020 - Distribution and abundance of Westslope Cutthroat Trout in relation to habitat characteristics at multiple spatial scales","interactions":[],"lastModifiedDate":"2022-01-03T15:42:50.022639","indexId":"70227153","displayToPublicDate":"2020-04-18T09:36:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and abundance of Westslope Cutthroat Trout in relation to habitat characteristics at multiple spatial scales","docAbstract":"

The distribution and relative abundance of Westslope Cutthroat Trout (WCT) Oncorhynchus clarkii lewisi in relation to habitat characteristics remain unknown across large portions of the species’ range. The goals of this research were to provide a foundational understanding of WCT distribution and relative abundance related to habitat characteristics in tributaries of the St. Maries River, Idaho—a highly altered watershed. The basin drains an area of approximately 1,863 km2 and has a longitudinal elevation difference of about 207 m. Backpack electrofishing and habitat assessments were conducted at 68 reaches in 35 different tributaries of the St. Maries River in 2017 and 2018. Habitat was measured at small (reach-level) and large (watershed-level) scales. A total of 652 WCT was sampled from 52 of 68 total reaches. Habitat characteristics varied by age-class, but most WCT were estimated to be age 0 and age 1. Logistic regression models indicated that the presence of age-0 WCT was positively related to stream gradient and elevation, but negatively related to water temperature, road density, fine substrate, stream depth, and the presence of Brook Trout (BKT) Salvelinus fontinalis. The relative abundance of age-0 WCT was positively associated with road density and inversely related to wetted width, canopy cover, and elevation. The presence of age-1 and older (age-1+) WCT was positively related to gradient, canopy cover, and elevation, but negatively associated with road density, temperature, stream depth, and the presence of BKT. Relative abundance of age-1+WCT was positively associated with gradient, large substrate, canopy cover, and road density. Conversely, the relative abundance of age-1+WCT was inversely related to wetted width and elevation. This research indicates that WCT populations can persist in response to altered landscapes when suitable habitat exists. However, unmitigated threats, such as nonnative species competition (e.g., BKT), hybridization with Rainbow Trout O. mykiss, habitat loss, and habitat fragmentation, pose persistent complications to WCT abundance in locations where populations appear robust but their actual abundance is unknown.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10450","usgsCitation":"Heckel, J.W., Quist, M.C., Watkins, C.J., and Dux, A.M., 2020, Distribution and abundance of Westslope Cutthroat Trout in relation to habitat characteristics at multiple spatial scales: North American Journal of Fisheries Management, v. 40, no. 4, p. 893-909, https://doi.org/10.1002/nafm.10450.","productDescription":"17 p,","startPage":"893","endPage":"909","ipdsId":"IP-107683","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":393744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"St. Maries River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.707763671875,\n 46.878968335076856\n ],\n [\n -115.631103515625,\n 46.878968335076856\n ],\n [\n -115.631103515625,\n 47.372314620566925\n ],\n [\n -116.707763671875,\n 47.372314620566925\n ],\n [\n -116.707763671875,\n 46.878968335076856\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Heckel, John W","contributorId":270716,"corporation":false,"usgs":false,"family":"Heckel","given":"John","email":"","middleInitial":"W","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":829822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":829821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, Carson J.","contributorId":171708,"corporation":false,"usgs":false,"family":"Watkins","given":"Carson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":829823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dux, Andrew M.","contributorId":212798,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":829824,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70220209,"text":"70220209 - 2020 - Seasonal manganese transport in the hyporheic zone of a snowmelt-dominated river (East River, Colorado)","interactions":[],"lastModifiedDate":"2021-04-27T17:16:33.696458","indexId":"70220209","displayToPublicDate":"2020-04-17T12:10:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal manganese transport in the hyporheic zone of a snowmelt-dominated river (East River, Colorado)","docAbstract":"

Manganese (Mn) plays a critical role in river-water quality because Mn-oxides serve as sorption sites for contaminant metals. The aim of this study is to understand the seasonal cycling of Mn in an alpine streambed that experiences large spring snowmelt events and the potential responses to changes in snowmelt timing and magnitude. To address this goal, annual variations in river-water/groundwater interaction and Mn(aq) transport were measured and modeled in the bed of East River, Colorado, USA. In observations and numerical models, oxygenated river water containing dissolved organic carbon (DOC) mixes with groundwater rich in Mn(aq) in the streambed. The mixing depth increases during spring snowmelt when river discharge increases, leading to a greater DOC supply to the hyporheic zone and net respiration of Mn-oxides, despite an enhanced supply of oxygen. As groundwater upwelling resumes during the subsequent baseflow period, Mn(aq)-rich groundwater mixes with oxygenated river water, resulting in net accumulation of Mn-oxides until the bed freezes in winter. To explore potential responses of Mn transport to different climate-induced hydrological regimes, three hydrograph scenarios were numerically modeled (historic, low-snow, and storm) for the Rocky Mountain region. In a warming climate, Mn(aq) export to the river decreases, and Mn(aq) oxidation is favored in the upper streambed sediments over more of the year. One important implication is that the streambed may have an increased sorption capacity for metals over more of the year, leading to potential changes in river-water quality.

","language":"English","publisher":"Springer","doi":"10.1007/s10040-020-02146-6","usgsCitation":"Bryant, S., Sawyer, A., Briggs, M., Saup, C., Nelson, A.R., Wilkins, M.J., Christensen, J.R., and Williams, K.H., 2020, Seasonal manganese transport in the hyporheic zone of a snowmelt-dominated river (East River, Colorado): Hydrogeology Journal, v. 28, p. 1323-1341, https://doi.org/10.1007/s10040-020-02146-6.","productDescription":"19 p.","startPage":"1323","endPage":"1341","ipdsId":"IP-115069","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":385333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"East River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.95238709449768,\n 38.92190699243362\n ],\n [\n -106.94936156272888,\n 38.92190699243362\n ],\n [\n -106.94936156272888,\n 38.923893566458055\n ],\n [\n -106.95238709449768,\n 38.923893566458055\n ],\n [\n -106.95238709449768,\n 38.92190699243362\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","noUsgsAuthors":false,"publicationDate":"2020-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Bryant, S.","contributorId":222764,"corporation":false,"usgs":false,"family":"Bryant","given":"S.","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":814777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, A.","contributorId":222761,"corporation":false,"usgs":false,"family":"Sawyer","given":"A.","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":814778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":257637,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":814779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saup, C.","contributorId":222763,"corporation":false,"usgs":false,"family":"Saup","given":"C.","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":814780,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, A. R","contributorId":193402,"corporation":false,"usgs":false,"family":"Nelson","given":"A.","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":814781,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilkins, M. J.","contributorId":176779,"corporation":false,"usgs":false,"family":"Wilkins","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":814782,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christensen, J. R.","contributorId":204686,"corporation":false,"usgs":false,"family":"Christensen","given":"J.","email":"","middleInitial":"R.","affiliations":[{"id":36974,"text":"U.S. Environmental Protection Agency, National Exposure Research Laboratory, Las Vegas, NV","active":true,"usgs":false}],"preferred":false,"id":814783,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, K. H.","contributorId":176777,"corporation":false,"usgs":false,"family":"Williams","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":814784,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70208957,"text":"sim3451 - 2020 - Geologic map of the Homestake Reservoir 7.5′ quadrangle, Lake, Pitkin, and Eagle Counties, Colorado","interactions":[],"lastModifiedDate":"2020-04-30T13:51:00.671496","indexId":"sim3451","displayToPublicDate":"2020-04-17T11:50:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3451","title":"Geologic map of the Homestake Reservoir 7.5′ quadrangle, Lake, Pitkin, and Eagle Counties, Colorado","docAbstract":"

The Homestake Reservoir 7.5' quadrangle lies at the northwestern end of the Upper Arkansas Valley, and headwaters of the Arkansas River, and the Roaring Fork, Fryingpan, and Eagle Rivers of the Colorado River system.  The quadrangle lies within tectonic provinces of the 1.4 giga-annum (Ga) Picuris orogeny and includes the late Paleozoic Ancestral Rockies, Late Cretaceous-Paleocene Laramide orogeny, Oligocene-to-Miocene and Pliocene? volcanism, and Miocene to the present Rio Grande rift extensional tectonics. In the eastern half of the quadrangle, high-angle, east-dipping, Neogene normal faults displace Proterozoic rocks, and locally Miocene-to-Pliocene? volcanic rocks.  Many quartz veins and hydrothermally altered zones are exposed along the eastern flank of the quadrangle, indicative of the multiple tectonic episodes the region has experienced.  The main intent of the map is to unravel the structural complexity by partitioning the structures and volcanism within the appropriate geologic interval.  This ultimately permits accurate identification of geomorphic features suitable for chronologies related to landscape evolution studies, seismic and other natural hazard identification, ground and surface water modeling, and paleoclimatic studies.  Within the western half of the quadrangle, Mesoproterozoic and Paleoproterozoic igneous and metamorphic rocks of 1.4 Ga St. Kevin Granite and 1.8–1.7 Ga Biotite gneiss and schist, respectively, are uplifted along the generally east-dipping, high-angle Sawatch fault system. In the northwest portion of the quadrangle, strands of the Homestake shear zone have been mapped, dated and assigned to the 1.4 Ga Picuris orogeny of northern New Mexico. 10Be and 26Al cosmogenic nuclide ages of the youngest glacial deposits indicate a last glacial maximum age of about 22–21 kilo-annum (ka) and complete deglaciation by about 14 kilo-annum, supported by chronologic studies in adjacent drainages. The Turquoise Lake impounding lateral and terminal moraine complex was deposited during late Pleistocene glacial maximum ~22–21 ka. No late Pleistocene tectonic activity is apparent within the quadrangle.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sim3451","collaboration":"","usgsCitation":"Ruleman, C.A., Frothingham, M.G., Brandt, T.R., Shaw, C.A., Caffee, M.W., Brugger, K.A., and Goehring, B.M., 2020, Geologic map of the Homestake Reservoir 7.5' quadrangle, Lake, Pitkin, and Eagle Counties, Colorado: U.S. Geological Survey Scientific Investigations Map 3451, scale 1:24,000, https://doi.org/10.3133/sim3451.","productDescription":"3 Sheets: 54.00 x 48.50 inches; Read Me; Data Release","onlineOnly":"Y","ipdsId":"IP-088811","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":373759,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3451/coverthb.jpg"},{"id":373763,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3451/sim3451_ReadMe.txt","text":" Read Me","size":"8.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3451 read me"},{"id":373762,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3451/sim3451_georeferenced.pdf","text":"Geologic Map of the Homestake Reservoir 7.5' Quadrangle, Eagle, Lake, and Pitkin Counties, Colorado","size":"165 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3451 georeferenced","linkHelpText":"(interactive georeferenced map with the shaded relief and topographic base layers)"},{"id":373764,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ON6QBE","text":"USGS data release","linkHelpText":"Data release for Geologic Map of the Homestake Reservoir 7.5' quadrangle, Lake, Pitkin, and Eagle Counties, Colorado"},{"id":373760,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3451/sim3451.pdf","text":"Geologic Map of the Homestake Reservoir 7.5' Quadrangle, Eagle, Lake, and Pitkin Counties, Colorado","size":"72.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3451 print quality","linkHelpText":"(print quality)"},{"id":373761,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3451/sim3451_hillshade_base.pdf","text":"Geologic Map of the Homestake Reservoir 7.5' Quadrangle, Eagle, Lake, and Pitkin Counties, Colorado","size":"54.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3451 hillshade base","linkHelpText":"(map with the shaded relief base)"}],"country":"United States","state":"Colorado","county":"Eagle County, Lake County, Pitkin County","otherGeospatial":"Homestake Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.5,\n 39.375\n ],\n [\n -106.375,\n 39.375\n ],\n [\n -106.375,\n 39.25\n ],\n [\n -106.5,\n 39.25\n ],\n [\n -106.5,\n 39.375\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225-0046

","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-04-17","noUsgsAuthors":false,"publicationDate":"2020-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frothingham, Michael G. 0000-0002-3502-1931","orcid":"https://orcid.org/0000-0002-3502-1931","contributorId":223119,"corporation":false,"usgs":false,"family":"Frothingham","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":40675,"text":"Montana State University, Bozeman","active":true,"usgs":false}],"preferred":false,"id":784194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Theodore R. 0000-0002-7862-9082 tbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-7862-9082","contributorId":1267,"corporation":false,"usgs":true,"family":"Brandt","given":"Theodore","email":"tbrandt@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":786415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaw, Colin A. 0000-0002-5820-3973","orcid":"https://orcid.org/0000-0002-5820-3973","contributorId":223118,"corporation":false,"usgs":false,"family":"Shaw","given":"Colin","email":"","middleInitial":"A.","affiliations":[{"id":40675,"text":"Montana State University, Bozeman","active":true,"usgs":false}],"preferred":false,"id":784192,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caffee, Marc W. 0000-0002-6846-8967","orcid":"https://orcid.org/0000-0002-6846-8967","contributorId":193417,"corporation":false,"usgs":false,"family":"Caffee","given":"Marc","email":"","middleInitial":"W.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":786416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goehring, Brent M. 0000-0001-6405-5156","orcid":"https://orcid.org/0000-0001-6405-5156","contributorId":203321,"corporation":false,"usgs":false,"family":"Goehring","given":"Brent","email":"","middleInitial":"M.","affiliations":[{"id":36600,"text":"Department of Earth and Environmental Sciences, Tulane University, New Orleans, LA","active":true,"usgs":false}],"preferred":false,"id":784195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brugger, Keith A. 0000-0003-0869-920X","orcid":"https://orcid.org/0000-0003-0869-920X","contributorId":191621,"corporation":false,"usgs":false,"family":"Brugger","given":"Keith","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":784193,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70214078,"text":"70214078 - 2020 - HESS opinions: Beyond the long-term water balance: Evolving Budyko's supply–demand framework for the Anthropocene towards a global synthesis of land-surface fluxes under natural and human-altered watersheds","interactions":[],"lastModifiedDate":"2020-09-22T16:00:25.192871","indexId":"70214078","displayToPublicDate":"2020-04-17T10:02:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"HESS opinions: Beyond the long-term water balance: Evolving Budyko's supply–demand framework for the Anthropocene towards a global synthesis of land-surface fluxes under natural and human-altered watersheds","docAbstract":"

Global hydroclimatic conditions have been substantially altered over the past century by anthropogenic influences that arise from the warming global climate and from local/regional anthropogenic disturbances. Traditionally, studies have used coupling of multiple models to understand how land-surface water fluxes vary due to changes in global climatic patterns and local land-use changes. We argue that because the basis of the Budyko framework relies on the supply and demand concept, the framework could be effectively adapted and extended to quantify the role of drivers – both changing climate and local human disturbances – in altering the land-surface response across the globe. We review the Budyko framework, along with these potential extensions, with the intent of furthering the applicability of the framework to emerging hydrologic questions. Challenges in extending the Budyko framework over various spatio-temporal scales and the use of global datasets to evaluate the water balance at these various scales are also discussed.

","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-24-1975-2020","usgsCitation":"Sankarasubramanian, A., Wang, D., Archfield, S.A., Reitz, M., Vogel, R., Mazrooei, A., and Mukhopadhyaya, S., 2020, HESS opinions: Beyond the long-term water balance: Evolving Budyko's supply–demand framework for the Anthropocene towards a global synthesis of land-surface fluxes under natural and human-altered watersheds: Hydrology and Earth System Sciences, v. 24, p. 1975-1984, https://doi.org/10.5194/hess-24-1975-2020.","productDescription":"10 p.","startPage":"1975","endPage":"1984","ipdsId":"IP-116284","costCenters":[{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":457044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-24-1975-2020","text":"Publisher Index Page"},{"id":378673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","noUsgsAuthors":false,"publicationDate":"2020-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Sankarasubramanian, A. 0000-0002-7668-1311","orcid":"https://orcid.org/0000-0002-7668-1311","contributorId":241034,"corporation":false,"usgs":false,"family":"Sankarasubramanian","given":"A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":799382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Dingbao","contributorId":166993,"corporation":false,"usgs":false,"family":"Wang","given":"Dingbao","email":"","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":799383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":799384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reitz, Meredith 0000-0001-9519-6103 mreitz@usgs.gov","orcid":"https://orcid.org/0000-0001-9519-6103","contributorId":196694,"corporation":false,"usgs":true,"family":"Reitz","given":"Meredith","email":"mreitz@usgs.gov","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":799385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vogel, Richard M","contributorId":241035,"corporation":false,"usgs":false,"family":"Vogel","given":"Richard M","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":799386,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazrooei, Amirhossein","contributorId":241036,"corporation":false,"usgs":false,"family":"Mazrooei","given":"Amirhossein","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":799387,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mukhopadhyaya, Sudarshana","contributorId":241037,"corporation":false,"usgs":false,"family":"Mukhopadhyaya","given":"Sudarshana","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":799388,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70209734,"text":"70209734 - 2020 - A graphical causal model for resolving species identity effects and biodiversity–ecosystem function correlations","interactions":[],"lastModifiedDate":"2020-08-04T14:03:10.552315","indexId":"70209734","displayToPublicDate":"2020-04-17T09:21:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A graphical causal model for resolving species identity effects and biodiversity–ecosystem function correlations","docAbstract":"Identifying and clearly communicating the drivers of ecosystem function is a crucially important goal for both basic and applied ecology. This has proven difficult because the putative causes (e.g., environment, species identity, biodiversity, and functional traits) are numerous and correlated. The problem is exacerbated by a lack of a formal framework for unambiguously relating theoretical language to precise, quantitative expressions of that language. Using a formal framework for the graphical expression of complex causal hypotheses, we developed a causal diagram of the concepts required to comprehensively test whether hypothesized sets of functional traits mediate the relationship between community structure and ecosystem function. We then used causal analysis, simulations, and field data to develop and test analytical strategies for understanding how community structure influences ecosystem functions via functional traits. Formal causal analysis showed that biodiversity–ecosystem function correlations are non‐causal associations. Using simulations, we showed how biodiversity correlations and species identity effects can arise from misspecification or incomplete mediation by functional trait composites. We also found that different types of model misspecification result in different patterns of residuals, which may be used to diagnose gaps in functional trait hypotheses. Treating the model misspecifications eliminated associations between species identity or biodiversity and ecosystem function. Finally, we provide an example of the analysis of field data to demonstrate how to use these insights to conduct a research program that has the goal of understanding the mechanistic trait relationships that link community structure to ecosystem function.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3070","usgsCitation":"Schoolmaster, D.R., Zirbel, C.R., and Cronin, J.P., 2020, A graphical causal model for resolving species identity effects and biodiversity–ecosystem function correlations: Ecology, v. 101, no. 8, e03070, 14 p., https://doi.org/10.1002/ecy.3070.","productDescription":"e03070, 14 p.","ipdsId":"IP-113577","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":374218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Schoolmaster, Donald R. Jr. 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":4746,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","suffix":"Jr.","email":"schoolmasterd@usgs.gov","middleInitial":"R.","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":787702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zirbel, Chad R 0000-0002-9289-1722","orcid":"https://orcid.org/0000-0002-9289-1722","contributorId":224302,"corporation":false,"usgs":false,"family":"Zirbel","given":"Chad","email":"","middleInitial":"R","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":787703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, James P. 0000-0001-6791-5828 jcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-6791-5828","contributorId":5834,"corporation":false,"usgs":true,"family":"Cronin","given":"James","email":"jcronin@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":787704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70209899,"text":"70209899 - 2020 - Modeling the supporting ecosystem services of depressional wetlands","interactions":[],"lastModifiedDate":"2020-10-28T15:24:41.697512","indexId":"70209899","displayToPublicDate":"2020-04-17T07:09:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the supporting ecosystem services of depressional wetlands","docAbstract":"We explored how a geographic information system modeling approach could be used to quantify supporting ecosystem services related to the type, abundance, and distribution of landscape components. Specifically, we use the Integrated Valuation of Ecosystem Services and Tradeoffs model to quantify habitats that support amphibians and birds, floral resources that support pollinators, native-plant communities that support regional biodiversity, and above- and below-ground carbon stores in the Des Moines Lobe ecoregion of the U.S. We quantified services under two scenarios, one that represented the 2012 Des Moines Lobe landscape, and one that simulated the conversion to crop production of wetlands and surrounding uplands conserved under the USDA Agricultural Conservation Easement Program (ACEP). While ACEP easements only covered 0.35% of the ecoregion, preserved wetlands and grasslands provided for 19,020 ha of amphibian habitat, 21,462 ha of grassland-bird habitat, 18,798 ha of high-quality native wetland plants, and 27,882 ha of floral resources for pollinators. Additionally, ACEP protected lands stored 257,722 tonnes of carbon that, if released, would result in costs in excess of 45-million USD. An integrated approach using results from a GIS-based model in combination with process-based model quantifications will facilitate more informed decisions related to ecosystem service tradeoffs.","language":"English","publisher":"Springer","doi":"10.1007/s13157-020-01297-2","usgsCitation":"Mushet, D.M., and Roth, C.L., 2020, Modeling the supporting ecosystem services of depressional wetlands: Wetlands, v. 40, p. 1061-1069, https://doi.org/10.1007/s13157-020-01297-2.","productDescription":"9 p.","startPage":"1061","endPage":"1069","ipdsId":"IP-108440","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-020-01297-2","text":"Publisher Index Page"},{"id":374483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.9326171875,\n 43.34116005412307\n ],\n [\n -95.20751953125,\n 41.31082388091818\n ],\n [\n -93.84521484375,\n 41.09591205639546\n ],\n [\n -93.22998046875,\n 41.52502957323801\n ],\n [\n -94.02099609375,\n 43.50075243569041\n ],\n [\n -93.44970703125,\n 44.05601169578525\n ],\n [\n -93.7353515625,\n 44.55916341529182\n ],\n [\n -94.72412109375,\n 45.01141864227728\n ],\n [\n -95.82275390625,\n 44.793530904744074\n ],\n [\n -95.9326171875,\n 43.34116005412307\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","noUsgsAuthors":false,"publicationDate":"2020-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":788546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roth, Cali L. 0000-0001-9077-2765 croth@usgs.gov","orcid":"https://orcid.org/0000-0001-9077-2765","contributorId":174422,"corporation":false,"usgs":true,"family":"Roth","given":"Cali","email":"croth@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":788547,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208867,"text":"ofr20201019 - 2020 - Science plan for improving three-dimensional seismic velocity models in the San Francisco Bay region, 2019–24","interactions":[],"lastModifiedDate":"2020-04-17T11:17:05.742879","indexId":"ofr20201019","displayToPublicDate":"2020-04-16T13:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1019","displayTitle":"Science Plan for Improving Three-Dimensional Seismic Velocity Models in the San Francisco Bay Region, 2019–24","title":"Science plan for improving three-dimensional seismic velocity models in the San Francisco Bay region, 2019–24","docAbstract":"

This five-year science plan outlines short-term and long-term goals for improving three-dimensional seismic velocity models in the greater San Francisco Bay region as well as how to foster a community effort in reaching those goals. The short-term goals focus on improving the current U.S. Geological Survey San Francisco Bay region geologic and seismic velocity model using existing data. The long-term goals focus on acquiring new data and leveraging better analytic tools to improve the model and characterize the uncertainty. The plan describes opportunities for contributions by members of the community to develop these seismic velocity models, provides current and potential users with general information on where efforts will likely be focused to improve these models and how new versions of the models will be released, and outlines funding needs and obstacles for improving and maintaining such models. Several aspects of this plan, including how to foster a community effort, are independent of the geographic region and apply to other similar efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201019","collaboration":"","usgsCitation":"Aagaard, B.T., Graymer, R.W., Thurber, C.H., Rodgers, A.J., Taira, T., Catchings, R.D., Goulet, C.A., and Plesch, A., 2020, Science plan for improving three-dimensional seismic velocity models in the San Francisco Bay region, 2019–24: U.S. Geological Survey Open-File Report 2020–1019, 37 p., https://doi.org/10.3133/ofr20201019.","productDescription":"vi, 37 p.","onlineOnly":"Y","ipdsId":"IP-112680","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":374023,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1019/coverthb.jpg"},{"id":374024,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1019/ofr20201019.pdf","text":"Report","size":"4.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1019"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.74999999999999,\n 36.527294814546245\n ],\n [\n -120.498046875,\n 36.527294814546245\n ],\n [\n -120.498046875,\n 39.11301365149975\n ],\n [\n -123.74999999999999,\n 39.11301365149975\n ],\n [\n -123.74999999999999,\n 36.527294814546245\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Geologic Hazards Science Center
U.S. Geological Survey
MS 966, Box 25046
Denver, CO 80225

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-04-16","noUsgsAuthors":false,"publicationDate":"2020-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":783743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graymer, Russell W. 0000-0003-4910-5682 rgraymer@usgs.gov","orcid":"https://orcid.org/0000-0003-4910-5682","contributorId":1052,"corporation":false,"usgs":true,"family":"Graymer","given":"Russell","email":"rgraymer@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":787118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":787155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodgers, Arthur J. 0000-0002-6784-5695","orcid":"https://orcid.org/0000-0002-6784-5695","contributorId":222984,"corporation":false,"usgs":false,"family":"Rodgers","given":"Arthur","email":"","middleInitial":"J.","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":783746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taira, Taka’aki 0000-0002-6170-797X","orcid":"https://orcid.org/0000-0002-6170-797X","contributorId":222985,"corporation":false,"usgs":false,"family":"Taira","given":"Taka’aki","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":783747,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":783748,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goulet, Christine A. 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":194805,"corporation":false,"usgs":false,"family":"Goulet","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":787152,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Plesch, Andreas 0000-0002-3355-9199","orcid":"https://orcid.org/0000-0002-3355-9199","contributorId":187765,"corporation":false,"usgs":false,"family":"Plesch","given":"Andreas","email":"","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":783750,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70228369,"text":"70228369 - 2020 - AMMonitor: Remote monitoring of biodiversity in an adaptive framework with R","interactions":[],"lastModifiedDate":"2022-02-09T16:15:07.277377","indexId":"70228369","displayToPublicDate":"2020-04-16T10:11:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"AMMonitor: Remote monitoring of biodiversity in an adaptive framework with R","docAbstract":"

Ecological research and management programs are increasingly using autonomous monitoring units (AMUs) to collect large volumes of acoustic and/or photo data to address pressing management objectives or research goals. The data management requirements of an AMU-based monitoring effort are often overwhelming, with a considerable amount of processing to translate raw data into models and analyses that have research and management utility. We created the r package AMMonitor to simplify the process of moving from remotely collected data to analysis and results, using a comprehensive SQLite database for data management that tracks all components of a remote monitoring program. This framework enables the tracking of analyses and research/management objectives through time. We illustrate the AMMonitor approach with the example of evaluating an occurrence-based management objective for a target species. First, we provide an overview of the database and data management approach. Next, we illustrate a few available workflows: temporally adaptive sampling, automated detection of species sounds from acoustic recordings and aggregation of automated detections into an encounter history for use in an occupancy analysis, the outcome of which can be analysed with respect to the motivating management objective. Without a comprehensive framework for efficiently moving from raw remote monitoring data collection to results and analysis, monitoring programs are limited in their capacity to systematically characterize ecological processes and inform management decisions through time. AMMonitor provides an option for such a framework. Code, comprehensive documentation, and step-by-step examples are available online at https://code.usgs.gov/vtcfwru/AMMonitor

","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13397","usgsCitation":"Balantic, C., and Donovan, T.M., 2020, AMMonitor: Remote monitoring of biodiversity in an adaptive framework with R: Methods in Ecology and Evolution, v. 11, no. 7, p. 869-877, https://doi.org/10.1111/2041-210X.13397.","productDescription":"9 p.","startPage":"869","endPage":"877","ipdsId":"IP-111168","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":457059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13397","text":"Publisher Index Page"},{"id":395673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Balantic, Cathleen","contributorId":275317,"corporation":false,"usgs":false,"family":"Balantic","given":"Cathleen","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":833986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833985,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70262015,"text":"70262015 - 2020 - AMMonitor 2: Remote monitoring of biodiversity in an adaptive framework in R","interactions":[],"lastModifiedDate":"2025-01-10T15:03:51.257364","indexId":"70262015","displayToPublicDate":"2020-04-16T08:53:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"AMMonitor 2: Remote monitoring of biodiversity in an adaptive framework in R","docAbstract":"
  1. Ecological research and management programs are increasingly using autonomous monitoring units (AMUs) to collect large volumes of acoustic and/or photo data to address pressing management objectives or research goals. The data management requirements of an AMU-based monitoring effort are often overwhelming, with a considerable amount of processing to translate raw data into models and analyses that have research and management utility.
  2. We created the r package AMMonitor to simplify the process of moving from remotely collected data to analysis and results, using a comprehensive SQLite database for data management that tracks all components of a remote monitoring program. This framework enables the tracking of analyses and research/management objectives through time.
  3. We illustrate the AMMonitor approach with the example of evaluating an occurrence-based management objective for a target species. First, we provide an overview of the database and data management approach. Next, we illustrate a few available workflows: temporally adaptive sampling, automated detection of species sounds from acoustic recordings and aggregation of automated detections into an encounter history for use in an occupancy analysis, the outcome of which can be analysed with respect to the motivating management objective.
  4. Without a comprehensive framework for efficiently moving from raw remote monitoring data collection to results and analysis, monitoring programs are limited in their capacity to systematically characterize ecological processes and inform management decisions through time. AMMonitor provides an option for such a framework. Code, comprehensive documentation and step-by-step examples are available online at https://code.usgs.gov/vtcfwru/AMMonitor
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13397","usgsCitation":"Balantic, C., and Donovan, T.M., 2020, AMMonitor 2: Remote monitoring of biodiversity in an adaptive framework in R: Methods in Ecology and Evolution, v. 11, no. 7, p. 869-877, https://doi.org/10.1111/2041-210X.13397.","productDescription":"9 p.","startPage":"869","endPage":"877","ipdsId":"IP-169539","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467293,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13397","text":"Publisher Index Page"},{"id":465981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Balantic, Cathleen","contributorId":275317,"corporation":false,"usgs":false,"family":"Balantic","given":"Cathleen","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":922979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922711,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210267,"text":"70210267 - 2020 - Disk-integrated thermal properties of Ceres measured at the millimeter wavelengths","interactions":[],"lastModifiedDate":"2020-05-27T13:37:34.575335","indexId":"70210267","displayToPublicDate":"2020-04-16T08:34:28","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":914,"text":"Astronomical Journal","active":true,"publicationSubtype":{"id":10}},"title":"Disk-integrated thermal properties of Ceres measured at the millimeter wavelengths","docAbstract":"

We observed Ceres at three epochs in 2015 November and 2017 September and October with Atacama Large Millimeter/submillimeter Array (ALMA) 12 m array and in 2017 October with the ALMA Compact Array (ACA), all at ~265 GHz continuum (wavelengths of ~1.1 mm) to map the temperatures of Ceres over a full rotation at each epoch. We also used 2017 October ACA observations to search for HCN. The disk-averaged brightness temperature of Ceres is measured to be between 170 and 180 K during our 2017 observations. The rotational light curve of Ceres shows a double-peaked shape with an amplitude of about 4%. Our HCN search returns a negative result with an upper limit production rate of ~2 × 1024 molecules s−1, assuming globally uniform production and a Haser model. A thermophysical model suggests that Ceres's top layer has higher dielectric absorption than lunar-like materials at a wavelength of 1 mm. However, previous observations showed that the dielectric absorption of Ceres decreases toward longer wavelengths. Such distinct dielectric properties might be related to the hydrated phyllosilicate composition of Ceres and possibly abundant micrometer-sized grains on its surface. The thermal inertia of Ceres is constrained by our modeling as likely being between 40 and 160 thermal inertia units, much higher than previous measurements at infrared wavelengths. Modeling also suggests that Ceres's light curve is likely dominated by spatial variations in its physical or compositional properties that cause changes in Ceres's observed thermal properties and dielectric absorption as it rotates.

","language":"English","publisher":"American Astronomical Society","doi":"10.3847/1538-3881/ab8305","usgsCitation":"Li, J., Moullet, A., Titus, T.N., Hsieh, H.H., and Sykes, M.V., 2020, Disk-integrated thermal properties of Ceres measured at the millimeter wavelengths: Astronomical Journal, v. 159, no. 5, https://doi.org/10.3847/1538-3881/ab8305.","ipdsId":"IP-113850","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":457061,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/1538-3881/ab8305","text":"Publisher Index Page"},{"id":375069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"159","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Jian-Yang","contributorId":152191,"corporation":false,"usgs":false,"family":"Li","given":"Jian-Yang","email":"","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":789855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moullet, Arielle","contributorId":224979,"corporation":false,"usgs":false,"family":"Moullet","given":"Arielle","email":"","affiliations":[{"id":41014,"text":"SOFIA/USRA, Moffett Field, CA","active":true,"usgs":false}],"preferred":false,"id":789856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":789857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsieh, Henry H.","contributorId":224980,"corporation":false,"usgs":false,"family":"Hsieh","given":"Henry","email":"","middleInitial":"H.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":789858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sykes, Mark V.","contributorId":192200,"corporation":false,"usgs":false,"family":"Sykes","given":"Mark","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":789859,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70211574,"text":"70211574 - 2020 - Tree-ring evidence of forest management moderating drought responses: Implications for dry, coniferous forests in the southwestern United States","interactions":[],"lastModifiedDate":"2020-07-31T14:41:18.995751","indexId":"70211574","displayToPublicDate":"2020-04-15T09:31:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5860,"text":"Frontiers in Forests and Global Change","active":true,"publicationSubtype":{"id":10}},"title":"Tree-ring evidence of forest management moderating drought responses: Implications for dry, coniferous forests in the southwestern United States","docAbstract":"

Drought, coupled with rising temperatures, is an emerging threat to many forest types across the globe. At least to a degree, we expect management actions that reduce competition (e.g., thinning, prescribed fire, or both) to improve growth of residual trees during drought. The influences of management actions and drought on individual tree growth may be measured with high precision using tree-rings. Here, we summarize tree-ring-based assessments of the effectiveness of thinning and prescribed fire as drought adaptation tools, with special consideration for how these findings might apply to dry coniferous forests in the southwestern United States. The existing literature suggests that thinning treatments generally improve individual tree growth responses to drought, though the literature specific to southwestern coniferous forests is sparse. Assessments from studies beyond the southwestern United States indicate treatment effectiveness varies by thinning intensity, timing of the drought relative to treatments, and individualistic species responses. Several large-scale studies appear to conflict on specifics of how site aridity influences sensitivity to drought following thinning. Prescribed fire effects in the absence of thinning has received much less attention in terms of subsequent drought response. There are limitations for using tree-ring data to estimate drought responses (e.g., difficulties scaling up observations to stand- and landscape-levels). However, tree-rings describe an important dimension of drought effects for individual trees, and when coupled with additional information, such as stable isotopes, aid our understanding of key physiological mechanisms that underlie forest drought response.

","language":"English","publisher":"Frontiers","doi":"10.3389/ffgc.2020.00041","usgsCitation":"van Mantgem, P., Kerhoulas, L., Sherriff, R.L., and Wenderott, Z.J., 2020, Tree-ring evidence of forest management moderating drought responses: Implications for dry, coniferous forests in the southwestern United States: Frontiers in Forests and Global Change, v. 3, 41, 7 p., https://doi.org/10.3389/ffgc.2020.00041.","productDescription":"41, 7 p.","ipdsId":"IP-114937","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":457070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffgc.2020.00041","text":"Publisher Index Page"},{"id":376947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, New Mexico, Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.9638671875,\n 32.13840869677249\n ],\n [\n -102.9638671875,\n 37.020098201368114\n ],\n [\n -109.2041015625,\n 37.09023980307208\n ],\n [\n -109.16015624999999,\n 41.21172151054787\n ],\n [\n -111.0498046875,\n 41.04621681452063\n ],\n [\n -111.1376953125,\n 42.00032514831621\n ],\n [\n -124.1455078125,\n 42.13082130188811\n ],\n [\n -124.76074218749999,\n 40.58058466412761\n ],\n [\n -123.662109375,\n 37.71859032558816\n ],\n [\n -120.89355468749999,\n 34.379712580462204\n ],\n [\n -117.20214843749999,\n 32.58384932565662\n ],\n [\n -114.78515624999999,\n 32.731840896865684\n ],\n [\n -111.0498046875,\n 31.316101383495624\n ],\n [\n -108.10546875,\n 31.240985378021307\n ],\n [\n -108.10546875,\n 31.840232667909365\n ],\n [\n -105.8203125,\n 31.840232667909365\n ],\n [\n -105.732421875,\n 32.21280106801518\n ],\n [\n -102.9638671875,\n 32.13840869677249\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2020-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":794668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kerhoulas, Lucy P","contributorId":236908,"corporation":false,"usgs":false,"family":"Kerhoulas","given":"Lucy P","affiliations":[{"id":47564,"text":"Humboldt State University, Department of Forestry and Wildland Resources, Arcata, CA, USA","active":true,"usgs":false}],"preferred":false,"id":794669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherriff, Rosemary L.","contributorId":204199,"corporation":false,"usgs":false,"family":"Sherriff","given":"Rosemary","email":"","middleInitial":"L.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":794670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenderott, Zachary James 0000-0002-4669-770X","orcid":"https://orcid.org/0000-0002-4669-770X","contributorId":236909,"corporation":false,"usgs":true,"family":"Wenderott","given":"Zachary","email":"","middleInitial":"James","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":794671,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209619,"text":"70209619 - 2020 - Brightness of the night sky affects loggerhead (Caretta caretta) sea turtle hatchling misorientation but not nest site selection","interactions":[],"lastModifiedDate":"2020-04-16T12:46:40.236732","indexId":"70209619","displayToPublicDate":"2020-04-15T07:43:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Brightness of the night sky affects loggerhead (Caretta caretta) sea turtle hatchling misorientation but not nest site selection","docAbstract":"Sea turtles in the Gulf of Mexico, which are listed as either threatened or endangered under the US Endangered Species Act, face numerous threats from many sources but are particularly susceptible to the effects of light pollution on nesting beaches. Light pollution affects the distribution, density, and placement of nests on beaches, and disrupts seafinding in hatchlings emerging from nests – often leading to their death. Rapid urban growth near Gulf Islands National Seashore (GUIS) over the last century has contributed to increased light pollution on its beaches, and there is concern that light pollution is causing females to lay nests in at-risk locations subject to erosion and flooding and is causing the observed high rates of hatchling misorientation. In this study our objectives were to measure brightness of the nighttime sky (and other variables) at GUIS at loggerhead (Caretta caretta) nests at the time of laying and hatching, and to assess the effects of brightness on the laying of at-risk nests and hatchling misorientation. In addition, we quantified the effects of relocating at-risk nests on nesting success. We found that the contrast in brightness between the landward and seaward directions at GUIS is at least partially responsible for high rates of hatchling misorientation, and we found a strong moderating influence of lunar fraction and lunar altitude on hatchling misorientation (larger lunar fractions and lower lunar altitudes reduced misorientation). We were unable to document any effects of artificial light, lunar fraction, or horizon altitude on the propensity of loggerheads to lay nests in at risk locations; and we found no evidence that relocating nests at GUIS reduced loggerhead nesting success. Rather, we found nesting success and hatchling misorientation rates were improved for relocated loggerhead nests.","language":"English","publisher":"Frontiers ","doi":"10.3389/fmars.2020.00221","collaboration":"","usgsCitation":"Stanley, T., White, J., Teel, S., and Nicholas, M., 2020, Brightness of the night sky affects loggerhead (Caretta caretta) sea turtle hatchling misorientation but not nest site selection: Frontiers in Marine Science, v. 7, no. 221, https://doi.org/10.3389/fmars.2020.00221.","productDescription":"12 p.","startPage":"","ipdsId":"IP-111456","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":457079,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.00221","text":"Publisher Index Page"},{"id":374049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Islands National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.15471267700195,\n 30.357175180306402\n ],\n [\n -87.1351432800293,\n 30.360433879760766\n ],\n [\n -87.11797714233398,\n 30.366506620871316\n ],\n [\n -87.12106704711914,\n 30.38176086774858\n ],\n [\n -87.13651657104492,\n 30.379243340530238\n ],\n [\n -87.14235305786133,\n 30.371097955265583\n ],\n [\n -87.15866088867188,\n 30.369172583218823\n ],\n [\n -87.15471267700195,\n 30.357175180306402\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"221","noUsgsAuthors":false,"publicationDate":"2020-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanley, Thomas 0000-0002-8393-0005","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":210435,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":787193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Jeremy","contributorId":202363,"corporation":false,"usgs":false,"family":"White","given":"Jeremy","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":787194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teel, Susan","contributorId":202361,"corporation":false,"usgs":false,"family":"Teel","given":"Susan","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":787195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicholas, Mark","contributorId":202362,"corporation":false,"usgs":false,"family":"Nicholas","given":"Mark","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":787196,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216816,"text":"70216816 - 2020 - InFish: A professional network to promote global conservation and responsible use of inland fish","interactions":[],"lastModifiedDate":"2021-06-03T17:59:37.312677","indexId":"70216816","displayToPublicDate":"2020-04-14T14:13:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"InFish: A professional network to promote global conservation and responsible use of inland fish","docAbstract":"

Inland fishes and fisheries make substantial contributions to individuals, society, and the environment in a changing global landscape that includes climate, water allocations, and societal changes. However, current limitations to valuing the services provided by inland fish and their fisheries often leaves them out of key decision‐making discussions. InFish is a voluntary professional network with over 120 members from over 50 organizations in over 20 countries that seeks to address challenges facing inland fish through novel approaches and international collaborations. InFish fosters opportunities to share knowledge, pursue proposals, publications, and conference‐related events focused on inland fisheries. InFish has become a source of inland fisheries expertise, working collectively towards global conservation and sustainable use of inland fish through informing scientifically sound management practices. As such, InFish may serve as a model network for other natural resource challenges now and into the future.

","language":"English","publisher":"Wiley","doi":"10.1002/fsh.10419","usgsCitation":"Lynch, A.J., Bartley, D.M., Beard, Bunnell, D., Cooke, S.J., Cowx, I.G., Funge-Smith, S., Paukert, C.P., Rogers, M.W., and Taylor, W., 2020, InFish: A professional network to promote global conservation and responsible use of inland fish: Fisheries Magazine, v. 45, no. 6, p. 319-326, https://doi.org/10.1002/fsh.10419.","productDescription":"8 p.","startPage":"319","endPage":"326","ipdsId":"IP-110120","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail J 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":245521,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"","middleInitial":"J","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":806362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartley, Devin M.","contributorId":15913,"corporation":false,"usgs":false,"family":"Bartley","given":"Devin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":806363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beard, Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":169459,"corporation":false,"usgs":true,"family":"Beard","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":806364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunnell, David 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":245523,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":806365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Steve J.","contributorId":220492,"corporation":false,"usgs":false,"family":"Cooke","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":806366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cowx, Ian. G.","contributorId":220479,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian.","email":"","middleInitial":"G.","affiliations":[{"id":40174,"text":"University of Hull","active":true,"usgs":false}],"preferred":false,"id":806367,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Funge-Smith, Simon","contributorId":197466,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","affiliations":[],"preferred":false,"id":806368,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":806369,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":806370,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":806371,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70208713,"text":"sir20205018 - 2020 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017","interactions":[],"lastModifiedDate":"2020-04-15T11:29:32.465392","indexId":"sir20205018","displayToPublicDate":"2020-04-14T12:41:15","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":"2020-5018","displayTitle":"Bathymetric and Velocimetric Surveys at Highway Bridges Crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017","docAbstract":"

Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, near 10 bridges at 9 highway crossings of the Missouri River between Kansas City and St. Louis, Missouri, from May 22 to 31, 2017. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches ranging from 1,550 to 1,840 feet longitudinally and generally extending laterally across the active channel from bank to bank during moderate flood flow conditions. These surveys indicate the channel conditions at the time of the surveys and provide characteristics of scour holes that may be useful in the development of predictive guidelines or equations for scour holes. These data also may be useful to the Missouri Department of Transportation as a low to moderate flood flow comparison to help assess the bridges for stability and integrity issues with respect to bridge scour during floods.

Bathymetric data were collected around every pier that was in water, except those at the edge of water, and scour holes were observed at most surveyed piers. Occasionally, the scour hole near a pier was difficult to discern from nearby bed features. The observed scour holes at the surveyed bridges were generally examined with respect to shape and depth.

Although exposure of parts of substructural support elements was observed at several piers, at most sites the exposure likely can be considered minimal compared to the overall substructure that remains buried in bed material at these piers. The notable exceptions are piers 4 and 5 at structure K0999 on Missouri State Highway 41 at Miami, Mo.; piers 2 and 3 at structure G0069 on Missouri State Highway 240 at Glasgow, Mo.; and pier 5 at structure A4574 on Missouri State Highway 5 at Boonville, Mo. At these structures, the bed-material thickness between the bottom of the scour hole and bedrock was less than 6 feet.

Pier size, nose shape, and alignment to flow had a profound effect on the size of the scour hole observed for a given pier. Narrow piers having round or sharp noses that were aligned with flow often had scour holes that were difficult to discern from nearby bed features, whereas piers having wide or blunt noses resulted in larger, deeper scour holes. Several structures had piers that were skewed to primary approach flow, and scour holes near these piers generally indicated deposition on the leeward side of the pier and greater depth on the side of the pier with impinging flow. A riprap blanket constructed in 2015 around pier 4 of structures L0550 and A4497 on U.S. Highway 54 at Jefferson City, Mo., effectively mitigates the scour observed near those piers in previous surveys.

Previous bathymetric surveys exist for all the sites examined in this study. Bathymetric surfaces from a nonflood survey in 2013 and a flood survey in July 2011 at most of the sites are compared to the 2017 survey surfaces. The average channel-bed elevation at structure A4574 was remarkably similar in all three surveys and higher than what might be implied by a trendline along the reach between Kansas City and St. Louis, which may indicate this site is at or near a local feature that controls sediment deposition and scour.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205018","collaboration":"Prepared in cooperation with the Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., 2020, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017: U.S. Geological Survey Scientific Investigations Report 2020–5018, 104 p., https://doi.org/10.3133/sir20205018.\n","productDescription":"Report: x, 104 p.; Data Releases","numberOfPages":"118","onlineOnly":"Y","ipdsId":"IP-110170","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":373939,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L6GW57","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River in Kansas City, Missouri, March 2010 through May 2017"},{"id":372633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5018/coverthb.jpg"},{"id":373938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5018/sir20205018.pdf","text":"Report","size":"23.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5018"},{"id":373940,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94M4US7","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, January 2010 through May 2017"}],"country":"United States","state":"Missouri","city":"Kansas City, St. Louis","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.142822265625,\n 38.805470223177466\n ],\n [\n -91.12060546875,\n 38.92522904714054\n ],\n [\n -92.16430664062499,\n 39.08743603215884\n ],\n [\n -93.2958984375,\n 39.04478604850143\n ],\n [\n -94.119873046875,\n 39.12153746241925\n ],\n [\n -94.68017578125,\n 39.198205348894795\n ],\n [\n -94.63623046875,\n 38.91668153637508\n ],\n [\n -94.04296874999999,\n 38.865374851611634\n ],\n [\n -93.109130859375,\n 38.79690830348427\n ],\n [\n -92.274169921875,\n 38.85682013474361\n ],\n [\n -91.91162109375,\n 38.81403111409755\n ],\n [\n -91.29638671875,\n 38.69408504756833\n ],\n [\n -90.648193359375,\n 38.659777730712534\n ],\n [\n -90.186767578125,\n 38.57393751557591\n ],\n [\n -90.142822265625,\n 38.805470223177466\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-04-14","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783135,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70210514,"text":"70210514 - 2020 - Atmospheric dust deposition varies by season and elevation in the Colorado Front Range, USA","interactions":[],"lastModifiedDate":"2020-06-08T15:47:17.13092","indexId":"70210514","displayToPublicDate":"2020-04-14T10:42:17","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":"Atmospheric dust deposition varies by season and elevation in the Colorado Front Range, USA","docAbstract":"

As atmospheric dust deposition continues to increase across the southwestern United States, it has the potential to alter ecosystem productivity and structure by delivering nutrients, base cations, and pollutants to remote mountain sites. Due to the sparse distribution of dust monitoring sites, open questions remain about the spatial and temporal variability of dust fluxes and composition across mountainous terrain. We present a 1 year (November 2017 to November 2018) record of seasonal dust fluxes and composition from an elevation transect across the Colorado Front Range extending from the urban plains to the remote alpine. At all nine sites, dust was enriched in the essential nutrient phosphorus and the metals copper, zinc, lead, and cadmium, elements that are enriched in dust deposited at sites across the Rocky Mountain West. We observed a seasonal pattern in dust composition, with the highest concentrations of zinc and cadmium during the summer, when back trajectory modeling suggested a greater contribution of dust from local urban and agricultural regions to the east of the collection sites. During the summer, there was also a trend of higher dust fluxes at lower elevations; dust fluxes ranged from 18.9 ± 0.1 g m−2 yr−1 on the plains to 5.9 ± 0.2 g m−2 yr−1 in the alpine. Our results suggest that urban and agricultural land east of the Colorado Front Range is an important source of nutrients and pollutants to all elevations of the mountain range.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JF005436","usgsCitation":"Heindel, R.C., Putman, A.L., Murphy, S.F., Repert, D.A., and Hinckley, E.S., 2020, Atmospheric dust deposition varies by season and elevation in the Colorado Front Range, USA: Journal of Geophysical Research: Earth Surface, v. 125, no. 5, e2019JF005436, 18 p., https://doi.org/10.1029/2019JF005436.","productDescription":"e2019JF005436, 18 p.","ipdsId":"IP-117827","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":375411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Front Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.578369140625,\n 39.65645604812829\n ],\n [\n -104.5458984375,\n 39.65645604812829\n ],\n [\n -104.5458984375,\n 40.463666324587685\n ],\n [\n -106.578369140625,\n 40.463666324587685\n ],\n [\n -106.578369140625,\n 39.65645604812829\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Heindel, Ruth C. 0000-0001-6292-2076","orcid":"https://orcid.org/0000-0001-6292-2076","contributorId":225133,"corporation":false,"usgs":false,"family":"Heindel","given":"Ruth","email":"","middleInitial":"C.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":790482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putman, Annie L. 0000-0002-9424-1707","orcid":"https://orcid.org/0000-0002-9424-1707","contributorId":225134,"corporation":false,"usgs":true,"family":"Putman","given":"Annie","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":790484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":790485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinckley, Eve-Lyn S.","contributorId":181894,"corporation":false,"usgs":false,"family":"Hinckley","given":"Eve-Lyn","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":790486,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221156,"text":"70221156 - 2020 - Genesis and evolution of ferromanganese crusts from the summit of Rio Grande Rise, southwest Atlantic Ocean","interactions":[],"lastModifiedDate":"2021-06-03T12:54:29.476362","indexId":"70221156","displayToPublicDate":"2020-04-14T07:45:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Genesis and evolution of ferromanganese crusts from the summit of Rio Grande Rise, southwest Atlantic Ocean","docAbstract":"
The Rio Grande Rise (RGR) is a large elevation in the Atlantic Ocean and known to host potential mineral resources of ferromanganese crusts (Fe–Mn), but no investigation into their general characteristics have been made in detail. Here, we investigate the chemical and mineralogical composition, growth rates and ages of initiation, and phosphatization of relatively shallow-water (650–825 m) Fe–Mn crusts dredged from the summit of RGR by using computed tomography, X-ray diffraction, 87Sr/86Sr ratios, U–Th isotopes, and various analytical techniques to determine their chemical composition. Fe–Mn crusts from RGR have two distinct generations. The older one has an estimated age of initiation around 48–55 Ma and was extensively affected by post-depositional processes under suboxic conditions resulting in phosphatization during the Miocene (from 20 to 6.8 Ma). As a result, the older generation shows characteristics of diagenetic Fe–Mn deposits, such as low Fe/Mn ratios (mean 0.52), high Mn, Ni, and Li contents and the presence of a 10 Å phyllomanganate, combined with the highest P content among crusts (up to 7.7 wt %). The younger generation is typical of hydrogenetic crusts formed under oxic conditions, with a mean Fe/Mn ratio of 0.75 and mean Co content of 0.66 wt %, and has the highest mean contents of Bi, Nb, Ni, Te, Rh, Ru, and Pt among crusts formed elsewhere. The regeneration of nutrients from local biological productivity in the water column is the main source of metals to crusts, providing mainly metals that regenerate rapidly in the water column and are made available at relatively shallow water depths (Ni, As, V, and Cd), at the expense of metals of slower regeneration (Si and Cu). Additionally, important contributions of nutrients may derive from various water masses, especially the South Atlantic Mode Water and Antarctic Intermediate Water (AAIW). Bulk Fe–Mn crusts from the summit of RGR plateau are generally depleted in metals considered of greatest economic interest in crusts like Co, REE, Mo, Te, and Zr, but are the most enriched in the critical metals Ni and Li compared to other crusts. Further investigations are warranted on Fe–Mn crusts from deeper-water depths along the RGR plateau and surrounding areas, which would less likely be affected by phosphatization.
","language":"English","publisher":"MDPI","doi":"10.3390/min10040349","usgsCitation":"Benites, M., Hein, J.R., Mizell, K., Blackburn, T., and Jovane, L., 2020, Genesis and evolution of ferromanganese crusts from the summit of Rio Grande Rise, southwest Atlantic Ocean: Minerals, v. 10, no. 4, 349, 36 p., https://doi.org/10.3390/min10040349.","productDescription":"349, 36 p.","ipdsId":"IP-117416","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min10040349","text":"Publisher Index Page"},{"id":386172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Rio Grande Rise","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -42.5390625,\n -26.588527147308614\n ],\n [\n -31.552734374999996,\n -26.588527147308614\n ],\n [\n -31.552734374999996,\n -16.467694748288956\n ],\n [\n -42.5390625,\n -16.467694748288956\n ],\n [\n -42.5390625,\n -26.588527147308614\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Benites, Mariana","contributorId":259240,"corporation":false,"usgs":false,"family":"Benites","given":"Mariana","email":"","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":816881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackburn, Terrence 0000-0003-0029-0709","orcid":"https://orcid.org/0000-0003-0029-0709","contributorId":259241,"corporation":false,"usgs":false,"family":"Blackburn","given":"Terrence","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":816884,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jovane, Luigi 0000-0003-4348-4714","orcid":"https://orcid.org/0000-0003-4348-4714","contributorId":259243,"corporation":false,"usgs":false,"family":"Jovane","given":"Luigi","email":"","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":816885,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70209510,"text":"ofr20201027 - 2020 - Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model","interactions":[],"lastModifiedDate":"2020-04-17T15:57:41.04636","indexId":"ofr20201027","displayToPublicDate":"2020-04-13T10:04:52","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1027","displayTitle":"Some Approaches to Accounting for Incidental Carcass Discoveries in Non-Monitored Years using the Evidence of Absence Model","title":"Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model","docAbstract":"

Executive Summary

We evaluate three approaches to accounting for incidental carcasses when estimating an upper bound on total mortality (\uD835\uDC40) as \uD835\uDC40∗ using the Evidence of Absence model (EoA; Dalthorp and others, 2017) to assess compliance with an Incidental Take Permit (ITP) (Dalthorp & Huso, 2015) under a monitoring protocol that includes formal, dedicated carcass surveys that achieve an overall detection probability of \uD835\uDC54\uD835\uDC60=0.15 in the first year, followed by 4 years with no formal monitoring but with carcasses potentially discovered incidentally by operations and maintenance crews in their normal course of activity or otherwise discovered outside the formal searches. We refer to carcasses discovered incidentally as “incidentals” and define \uD835\uDC65\uD835\uDC56 as the count of incidentals. Similarly, we define \uD835\uDC65\uD835\uDC60 as the number of carcasses found during the formal searches conducted the first year.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201027","usgsCitation":"Dalthorp, Daniel, Rabie, Paul, Huso, Manuela, and Tredennick, Andrew, 2020, Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model: U.S. Geological Survey Open-File Report 2020-1027, 24 p., https://doi.org/10.3133/ofr20201027.","productDescription":"iv, 22 p.","onlineOnly":"Y","ipdsId":"IP-114583","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":373890,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1027/ofr20201027.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1027"},{"id":373889,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1027/coverthb.jpg"}],"contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2020-04-13","noUsgsAuthors":false,"publicationDate":"2020-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Dalthorp, Daniel 0000-0002-4815-6309 ddalthorp@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-6309","contributorId":4902,"corporation":false,"usgs":true,"family":"Dalthorp","given":"Daniel","email":"ddalthorp@usgs.gov","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":786721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rabie, Paul","contributorId":117423,"corporation":false,"usgs":false,"family":"Rabie","given":"Paul","affiliations":[],"preferred":false,"id":786722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huso, Manuela 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":223969,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":786723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tredennick, Andrew","contributorId":223964,"corporation":false,"usgs":false,"family":"Tredennick","given":"Andrew","affiliations":[{"id":18962,"text":"Dept. of Wildland Resources and the Ecology Center, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":786724,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210544,"text":"70210544 - 2020 - Zero or not? Causes and consequences of zero-flow stream gage readings","interactions":[],"lastModifiedDate":"2020-06-09T12:18:02.959693","indexId":"70210544","displayToPublicDate":"2020-04-13T07:14:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Zero or not? Causes and consequences of zero-flow stream gage readings","docAbstract":"

Streamflow observations can be used to understand, predict, and contextualize hydrologic, ecological, and biogeochemical processes and conditions in streams. Stream gages are point measurements along rivers where streamflow is measured, and are often used to infer upstream watershed‐scale processes. When stream gages read zero, this may indicate that the stream has dried at this location; however, zero‐flow readings can also be caused by a wide range of other factors. Our ability to identify whether or not a zero‐flow gage reading indicates a dry fluvial system has far reaching environmental implications. Incorrect identification and interpretation by the data user can lead to inaccurate hydrologic, ecological, and/or biogeochemical predictions from models and analyses. Here, we describe several causes of zero‐flow gage readings: frozen surface water, flow reversals, instrument error, and natural or human‐driven upstream source losses or bypass flow. For these examples, we discuss the implications of zero‐flow interpretations. We also highlight additional methods for determining flow presence, including direct observations, statistical methods, and hydrologic models, which can be applied to interpret causes of zero‐flow gage readings and implications for reach‐ and watershed‐scale dynamics. Such efforts are necessary to improve our ability to understand and predict surface flow activation, cessation, and connectivity across river networks. Developing this integrated understanding of the wide range of possible meanings of zero‐flows will only attain greater importance in a more variable and changing hydrologic climate.

","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1436","usgsCitation":"Zimmer, M., Kaiser, K.E., Blaszczak, J., Zipper, S., Hammond, J., Fritz, K.M., Costigan, K., Hosen, J.D., Godsey, S., Allen, G.H., Kampf, S.K., Burrow, R., Krabbenhoft, C., Dodds, W., Hale, R., Olden, J., Shanafield, M., DelVecchia, A., Ward, A.S., Mims, M.C., Datry, T., Bogan, M.A., Boersma, K., Busch, M., Jones, N.M., Burgin, A., and Allen, D., 2020, Zero or not? Causes and consequences of zero-flow stream gage readings: WIREs Water, v. 7, no. 3, e1436, 25 p., https://doi.org/10.1002/wat2.1436.","productDescription":"e1436, 25 p.","ipdsId":"IP-112480","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":457103,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/wat2.1436","text":"External Repository"},{"id":437027,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R84W5K","text":"USGS data release","linkHelpText":"Contiguous US and Global streamflow gages measuring zero flow"},{"id":437026,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AB3KL9","text":"USGS data release","linkHelpText":"Sub-annual streamflow responses to rainfall and snowmelt inputs in snow-dominated watersheds of the western U.S."},{"id":375452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmer, Margaret 0000-0001-8287-1923","orcid":"https://orcid.org/0000-0001-8287-1923","contributorId":225158,"corporation":false,"usgs":false,"family":"Zimmer","given":"Margaret","affiliations":[{"id":41054,"text":"Earth and Planetary Sciences, University of California, Santa Cruz, CA, 95064, USA","active":true,"usgs":false}],"preferred":false,"id":790580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaiser, Kendra E. 0000-0003-1773-6236","orcid":"https://orcid.org/0000-0003-1773-6236","contributorId":211475,"corporation":false,"usgs":false,"family":"Kaiser","given":"Kendra","email":"","middleInitial":"E.","affiliations":[{"id":38255,"text":"Boise State Unviersity","active":true,"usgs":false}],"preferred":false,"id":790581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blaszczak, Joanna 0000-0001-5122-0829","orcid":"https://orcid.org/0000-0001-5122-0829","contributorId":225159,"corporation":false,"usgs":false,"family":"Blaszczak","given":"Joanna","email":"","affiliations":[{"id":41055,"text":"Natural Resources and Environmental Science, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":790582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zipper, Samuel 0000-0002-8735-5757","orcid":"https://orcid.org/0000-0002-8735-5757","contributorId":225160,"corporation":false,"usgs":false,"family":"Zipper","given":"Samuel","email":"","affiliations":[{"id":41056,"text":"Kansas Geological Survey, University of Kansas, Lawrence KS 66047, USA","active":true,"usgs":false}],"preferred":false,"id":790583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fritz, Ken M. 0000-0002-3831-2531","orcid":"https://orcid.org/0000-0002-3831-2531","contributorId":203959,"corporation":false,"usgs":false,"family":"Fritz","given":"Ken","email":"","middleInitial":"M.","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":790585,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Costigan, Katie H.","contributorId":166700,"corporation":false,"usgs":false,"family":"Costigan","given":"Katie H.","affiliations":[],"preferred":false,"id":790586,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hosen, Jacob D.","contributorId":149188,"corporation":false,"usgs":false,"family":"Hosen","given":"Jacob","email":"","middleInitial":"D.","affiliations":[{"id":17663,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, United States","active":true,"usgs":false}],"preferred":false,"id":790587,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Godsey, Sarah E","contributorId":223120,"corporation":false,"usgs":false,"family":"Godsey","given":"Sarah E","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":790588,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allen, George H. 0000-0001-8301-5301","orcid":"https://orcid.org/0000-0001-8301-5301","contributorId":225161,"corporation":false,"usgs":false,"family":"Allen","given":"George","middleInitial":"H.","affiliations":[{"id":41057,"text":"Department of Geography, Texas A&M University, College Station, TX, 77843","active":true,"usgs":false}],"preferred":false,"id":790589,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kampf, Stephanie K. 0000-0001-8991-2679","orcid":"https://orcid.org/0000-0001-8991-2679","contributorId":225146,"corporation":false,"usgs":false,"family":"Kampf","given":"Stephanie","email":"","middleInitial":"K.","affiliations":[{"id":41048,"text":"Associate Professor, Department of Ecosystem Science and Sustainability, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":790590,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Burrow, Ryan 0000-0002-3296-1864","orcid":"https://orcid.org/0000-0002-3296-1864","contributorId":225162,"corporation":false,"usgs":false,"family":"Burrow","given":"Ryan","email":"","affiliations":[{"id":41058,"text":"Australian Rivers Institute, Griffith University, Brisbane, Queensland, Australia 4111","active":true,"usgs":false}],"preferred":false,"id":790591,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Krabbenhoft, Corey 0000-0002-2630-8287","orcid":"https://orcid.org/0000-0002-2630-8287","contributorId":225163,"corporation":false,"usgs":false,"family":"Krabbenhoft","given":"Corey","email":"","affiliations":[{"id":41059,"text":"College of Arts and Sciences and Research and Education in Energy, Environment and Water (RENEW) Institute, University at Buffalo, Buffalo, NY 14228","active":true,"usgs":false}],"preferred":false,"id":790592,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dodds, Walter 0000-0002-6666-8930","orcid":"https://orcid.org/0000-0002-6666-8930","contributorId":225164,"corporation":false,"usgs":false,"family":"Dodds","given":"Walter","email":"","affiliations":[{"id":41060,"text":"Division of Biology, Kansas State University, Manhattan, KS 66502","active":true,"usgs":false}],"preferred":false,"id":790593,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hale, Rebecca 0000-0002-3552-3691","orcid":"https://orcid.org/0000-0002-3552-3691","contributorId":195753,"corporation":false,"usgs":false,"family":"Hale","given":"Rebecca","email":"","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":790594,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Olden, Julian D.","contributorId":202893,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":790595,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Shanafield, Margaret","contributorId":196916,"corporation":false,"usgs":false,"family":"Shanafield","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":790596,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"DelVecchia, Amanda 0000-0003-4252-5991","orcid":"https://orcid.org/0000-0003-4252-5991","contributorId":225165,"corporation":false,"usgs":false,"family":"DelVecchia","given":"Amanda","email":"","affiliations":[{"id":41061,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":790597,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ward, Adam S","contributorId":191363,"corporation":false,"usgs":false,"family":"Ward","given":"Adam","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":790598,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Mims, Meryl C. 0000-0003-0570-988X","orcid":"https://orcid.org/0000-0003-0570-988X","contributorId":209951,"corporation":false,"usgs":false,"family":"Mims","given":"Meryl","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":790599,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Datry, Thibault 0000-0003-1390-6736","orcid":"https://orcid.org/0000-0003-1390-6736","contributorId":225166,"corporation":false,"usgs":false,"family":"Datry","given":"Thibault","email":"","affiliations":[{"id":41062,"text":"Centre de Lyon-Villeurbanne, 69626 Villeurbanne CEDEX, France","active":true,"usgs":false}],"preferred":false,"id":790600,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Bogan, Michael A.","contributorId":196745,"corporation":false,"usgs":false,"family":"Bogan","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":790601,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Boersma, Kate 0000-0002-0707-3283","orcid":"https://orcid.org/0000-0002-0707-3283","contributorId":225167,"corporation":false,"usgs":false,"family":"Boersma","given":"Kate","email":"","affiliations":[{"id":41063,"text":"Department of Biology, University of San Diego, San Diego, CA 92105, USA","active":true,"usgs":false}],"preferred":false,"id":790602,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Busch, Michelle 0000-0003-4536-3000","orcid":"https://orcid.org/0000-0003-4536-3000","contributorId":225168,"corporation":false,"usgs":false,"family":"Busch","given":"Michelle","email":"","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":790603,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Jones, Nathan M.","contributorId":177996,"corporation":false,"usgs":false,"family":"Jones","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":790604,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Burgin, Amy","contributorId":140223,"corporation":false,"usgs":false,"family":"Burgin","given":"Amy","email":"","affiliations":[{"id":13420,"text":"Wright State Univ.","active":true,"usgs":false}],"preferred":false,"id":790605,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Allen, Daniel C. 0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":790606,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}} ,{"id":70211971,"text":"70211971 - 2020 - Preliminary analysis to estimate the spatial distribution of benefits of P load reduction: Identifying the spatial influence of phosphorus loading from the Maumee River (USA) in western Lake Erie","interactions":[],"lastModifiedDate":"2020-08-12T20:37:07.753765","indexId":"70211971","displayToPublicDate":"2020-04-12T15:31:46","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":"Preliminary analysis to estimate the spatial distribution of benefits of P load reduction: Identifying the spatial influence of phosphorus loading from the Maumee River (USA) in western Lake Erie","docAbstract":"

Since the early 2000s, Lake Erie has been experiencing annual cyanobacterial blooms that often cover large portions of the western basin and even reach into the central basin. These blooms have affected several ecosystem services provided by Lake Erie to surrounding communities (notably drinking water quality). Several modeling efforts have identified the springtime total bioavailable phosphorus (TBP) load as a major driver of maximum cyanobacterial biomass in western Lake Erie, and on this basis, international water management bodies have set a phosphorus (P) reduction goal. This P reduction goal is intended to reduce maximum cyanobacterial biomass, but there has been very limited effort to identify the specific locations within the western basin of Lake Erie that will likely experience the most benefits. Here, we used pixel‐specific linear regression to identify where annual variation in spring TBP loads is most strongly associated with cyanobacterial abundance, as inferred from satellite imagery. Using this approach, we find that annual TBP loads are most strongly associated with cyanobacterial abundance in the central and southern areas of the western basin. At the location of the Toledo water intake, the association between TBP load and cyanobacterial abundance is moderate, and in Maumee Bay (near Toledo, Ohio), the association between TBP and cyanobacterial abundance is no better than a null model. Both of these locations are important for the delivery of specific ecosystem services, but this analysis indicates that P load reductions would not be expected to substantially improve maximum annual cyanobacterial abundance in these locations. These results are preliminary in the sense that only a limited set of models were tested in this analysis, but these results illustrate the importance of identifying whether the spatial distribution of management benefits (in this case P load reduction) matches the spatial distribution of management goals (reducing the effects of cyanobacteria on important ecosystem services).

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6160","usgsCitation":"Larson, J.H., Hlavacek, E., De Jager, N.R., Evans, M.A., and Wynne, T., 2020, Preliminary analysis to estimate the spatial distribution of benefits of P load reduction: Identifying the spatial influence of phosphorus loading from the Maumee River (USA) in western Lake Erie: Ecology and Evolution, v. 10, no. 9, p. 3968-3976, https://doi.org/10.1002/ece3.6160.","productDescription":"9 p.","startPage":"3968","endPage":"3976","ipdsId":"IP-111658","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":457106,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6160","text":"Publisher Index Page"},{"id":377436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Lake Erie, Maumee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.177490234375,\n 42.00848901572399\n ],\n [\n -83.33404541015625,\n 41.920672548686824\n ],\n [\n -83.47412109375,\n 41.76721469421018\n ],\n [\n -83.47686767578125,\n 41.69547509615208\n ],\n [\n -83.3587646484375,\n 41.67086022030498\n ],\n [\n -83.1610107421875,\n 41.62160222224564\n ],\n [\n -83.056640625,\n 41.582579601430346\n ],\n [\n -82.96875,\n 41.52502957323801\n ],\n [\n -82.957763671875,\n 41.96153247330561\n ],\n [\n -83.177490234375,\n 42.00848901572399\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":796027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wynne, Timothy","contributorId":147819,"corporation":false,"usgs":false,"family":"Wynne","given":"Timothy","affiliations":[{"id":16942,"text":"National Oceanic and Atmospheric Administration, Silver Spring, Maryland","active":true,"usgs":false}],"preferred":false,"id":796028,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206370,"text":"ofr20191115 - 2020 - A decision framework to analyze tide-gate options for restoration of the Herring River Estuary, Massachusetts","interactions":[],"lastModifiedDate":"2024-03-04T19:21:20.997009","indexId":"ofr20191115","displayToPublicDate":"2020-04-10T09:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1115","displayTitle":"A Decision Framework to Analyze Tide-Gate Options for Restoration of the Herring River Estuary, Massachusetts","title":"A decision framework to analyze tide-gate options for restoration of the Herring River Estuary, Massachusetts","docAbstract":"

The collective set of decisions involved with the restoration of degraded wetlands is often more complex than considering only ecological responses and outcomes. Restoration is commonly driven by a complex interaction of social, economic, and ecological factors representing the mandate of resource stewards and the values of stakeholders. The authors worked with the Herring River Restoration Committee (HRRC) to develop a decision framework to understand the implications of complex tradeoffs and to guide decision making for the restoration of the 1,100-acre Herring River estuary within Cape Cod National Seashore, which has been restricted from tidal influence for more than 100 years. The HRRC represents decision maker and stakeholder interests in the restoration process. For a 25-year planning horizon, decisions involve the rate at which newly constructed water-control structures allow tidal exchange, and the timing and location of implementing numerous secondary management options. Decisions affect multiple stakeholders, including residents of two adjacent towns who value the watershed for numerous benefits and whose economy relies on seasonal activities and aquaculture. System response to management decisions is characterized by a high degree of uncertainty and risk with positive and negative outcomes possible. Decision policies will affect biophysical (for example, sediment transport, discharge of fecal coliform bacteria) and ecological (for example, vegetation response, fish passage, effects on shellfish) processes, as well as socioeconomic interests (for example, effects on property, viewscapes, recreation). The framework provides a structured approach for evaluating tradeoffs among multiple objectives (ecological and social) while appropriately characterizing relevant uncertainties and accounting for levels of risk tolerances and the values of decision makers and stakeholders. Consequences of tide-gate management options are predicted using a range of methods from quantitative physical process models to elicited expert judgement. The decision framework is presented, and the software developed to implement the tradeoff analysis is introduced. The results from an initial prototype analysis using a software application developed for analyses of tradeoffs and of sensitivity of the decision to risk and uncertainty are presented. The next step is to use the decision-support application to analyze options using improved predictions.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191115","collaboration":"Prepared in cooperation with National Park Service and U.S. Fish and Wildlife Service","usgsCitation":"Smith, D.R., Eaton, M.J., Gannon, J.J., Smith, T.P., Derleth, E.L., Katz, J., Bosma, K.F., and Leduc, E., 2020, A decision framework to analyze tide-gate options for restoration of the Herring River Estuary, Massachusetts: U.S. Geological Survey Open-File Report 2019–1115, 42 p., https://doi.org/10.3133/ofr20191115.","productDescription":"viii, 42 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101813","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":373779,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1115/ofr20191115.pdf","text":"Report","size":"3.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1115"},{"id":373778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1115/coverthb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Herring River Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.07286071777344,\n 41.92961289444422\n ],\n [\n -70.02462387084961,\n 41.92961289444422\n ],\n [\n -70.02462387084961,\n 41.96357478222518\n ],\n [\n -70.07286071777344,\n 41.96357478222518\n ],\n [\n -70.07286071777344,\n 41.92961289444422\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Road
Kearneysville, WV 25430

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-04-10","noUsgsAuthors":false,"publicationDate":"2020-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":774307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":216712,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":774308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gannon, Jill J.","contributorId":220143,"corporation":false,"usgs":false,"family":"Gannon","given":"Jill","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":774309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Timothy P.","contributorId":220144,"corporation":false,"usgs":false,"family":"Smith","given":"Timothy","email":"","middleInitial":"P.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":774310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Derleth, Eric L.","contributorId":220145,"corporation":false,"usgs":false,"family":"Derleth","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":774311,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katz, Jonathan","contributorId":220146,"corporation":false,"usgs":false,"family":"Katz","given":"Jonathan","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":774312,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bosma, Kirk F.","contributorId":220147,"corporation":false,"usgs":false,"family":"Bosma","given":"Kirk","email":"","middleInitial":"F.","affiliations":[{"id":40133,"text":"Woods Hole Group","active":true,"usgs":false}],"preferred":false,"id":774313,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leduc, Elise","contributorId":220148,"corporation":false,"usgs":false,"family":"Leduc","given":"Elise","email":"","affiliations":[{"id":40133,"text":"Woods Hole Group","active":true,"usgs":false}],"preferred":false,"id":774314,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70211249,"text":"70211249 - 2020 - Black bear movement and food conditioning in an exurban landscape","interactions":[],"lastModifiedDate":"2020-07-22T14:11:35.232544","indexId":"70211249","displayToPublicDate":"2020-04-09T13:46:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Black bear movement and food conditioning in an exurban landscape","docAbstract":"Conflicts between humans and wildlife have become increasingly important challenges for resource managers along the urban‐wildland interface. Food conditioning (i.e., reliance by an animal on anthropogenic foods) of American black bears (Ursus americanus ) is related to conflict behavior (i.e., being bold or aggressive toward humans, consuming human food or garbage, causing property damage) and often occurs in communities adjacent to Great Smoky Mountains National Park (GRSM or Park), USA. The goal of our study was to evaluate black bear space use in GRSM and in exurban areas on surrounding private lands and to identify factors associated with food conditioning and conflict behavior. We radio‐collared 53 bears (29 males, 24 females) from 2015 to 2017 to compare space use characteristics and used carbon isotopic signatures (δ13C) from bear hair to assess food conditioning. We then performed an integrated step selection function (iSSF) analysis to characterize and compare movement and resource use as related to food conditioning. Based on the stable isotope analyses, 24 bears were classified as food conditioned (FC; 16 males and 8 females) and 37 were not food conditioned (NFC; 14 males and 23 females). Annual 95% kernel density estimate (KDE) home ranges and 50% KDE core area estimates of female and male bears did not differ by level of food conditioning (i.e., mean δ13C), but 95% and 50% home ranges of FC females were smaller than NFC females when data from 2015, a year of food scarcity and abnormally large home ranges, were excluded. The mean proportion of exurban development (e.g., roads, buildings, openings) within 95% KDE and 50% KDE home ranges of females increased with mean δ13C (i.e., greater food conditioning). The iSSF models indicated that FC bears were more likely to use forest openings associated with higher levels of development than NFC bears. We used those models to demonstrate how landscape modifications can reduce bear use of exurban areas, particularly for NFC bears. Our stable isotope, movement, and resource use data indicate that conflict behaviors displayed by many bears within GRSM were learned in areas outside Park boundaries. © 2020 The Wildlife Society.","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21870","usgsCitation":"Braunstein, J., Clark, J.D., Williamson, R.H., and Stiver, W., 2020, Black bear movement and food conditioning in an exurban landscape: Journal of Wildlife Management, v. 84, no. 6, p. 1038-1050, https://doi.org/10.1002/jwmg.21870.","productDescription":"13 p.","startPage":"1038","endPage":"1050","ipdsId":"IP-116428","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":376574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, North Carolina","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.9959716796875,\n 35.570214567965984\n ],\n [\n -83.98635864257812,\n 35.505400093441295\n ],\n [\n -83.81057739257814,\n 35.420391545750775\n ],\n [\n -83.61831665039062,\n 35.40696093270201\n ],\n [\n -83.36563110351564,\n 35.420391545750775\n ],\n [\n -83.21731567382814,\n 35.50092819950356\n ],\n [\n -83.02505493164064,\n 35.483038134069574\n ],\n [\n -82.9632568359375,\n 35.58361791939279\n ],\n [\n -82.95089721679689,\n 35.663990911348094\n ],\n [\n -83.02093505859376,\n 35.75765724051559\n ],\n [\n -83.1390380859375,\n 35.78662688467007\n ],\n [\n -83.26538085937501,\n 35.7843988251953\n ],\n [\n -83.32717895507814,\n 35.787740890986576\n ],\n [\n -83.38348388671876,\n 35.756542812691876\n ],\n [\n -83.45764160156251,\n 35.72979186282792\n ],\n [\n -83.50982666015625,\n 35.71641301732958\n ],\n [\n -83.54827880859375,\n 35.70972275209277\n ],\n [\n -83.59359741210939,\n 35.71083783530009\n ],\n [\n -83.68423461914062,\n 35.679609609368555\n ],\n [\n -83.80783081054689,\n 35.68072511370387\n ],\n [\n -83.90945434570314,\n 35.65841206428204\n ],\n [\n -83.95477294921874,\n 35.631628173298445\n ],\n [\n -83.9959716796875,\n 35.570214567965984\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Braunstein, Jessica","contributorId":229510,"corporation":false,"usgs":false,"family":"Braunstein","given":"Jessica","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":793407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":793408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Ryan H","contributorId":229511,"corporation":false,"usgs":false,"family":"Williamson","given":"Ryan","email":"","middleInitial":"H","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":793409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stiver, William H","contributorId":228824,"corporation":false,"usgs":false,"family":"Stiver","given":"William H","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":793410,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210589,"text":"70210589 - 2020 - Combined effects of biological control of an invasive shrub and fluvial processes on riparian vegetation dynamics","interactions":[],"lastModifiedDate":"2020-08-06T19:32:51.734887","indexId":"70210589","displayToPublicDate":"2020-04-09T10:52:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Combined effects of biological control of an invasive shrub and fluvial processes on riparian vegetation dynamics","docAbstract":"

Plant community responses to biocontrol of invasive plants are understudied, despite the strong influence of the composition of replacement vegetation on ecosystem functions and services. We studied the vegetation response to a folivore beetle (Diorhabda genus, Coleoptera) that has been introduced along southwestern US river valleys to control the invasion of non-native shrubs in the genus Tamarix (Tamaricaceae). We collected detailed plant compositional and environmental data during four different surveys over 7 years (2010–2017), including two surveys prior to when substantial beetle-induced dieback occurred in summer 2012, along the lower Virgin River, Nevada. The study river was of special interest because it is one of only a few largely unregulated rivers in the region, and a large flood of 40-year return period occurred between the first and second surveys, allowing us to study the combined effects of fluvial processes, which typically drive riparian plant community assembly, and biocontrol. Vegetation trajectories differed as a function of the dominant geomorphological process. Tamarix cover declined an average of 75% and was replaced by the native shrub Pluchea sericea as the new dominant species in the floodplain, especially where sediment deposition predominated. Following deposition, and especially erosion, opportunistic native herbs, Tamarix seedlings, and noxious weeds colonized the understory layer but did not increase in cover over time. Stands of the native shrub Salix exigua, a desirable replacement species following Tamarix control, only increased slightly and remained subordinate in the floodplain. Overall, our results showed that, by successfully controlling the target non-native plant, a biocontrol agent can substantially modify the replacement plant communities in a riparian system, but that fluvial processes also strongly influence the resulting communities.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-020-02259-9","usgsCitation":"Gonzalez, E., Shafroth, P., Lee, S.R., Ostoja, S., and Brooks, M.L., 2020, Combined effects of biological control of an invasive shrub and fluvial processes on riparian vegetation dynamics: Biological Invasions, v. 22, p. 2339-2356, https://doi.org/10.1007/s10530-020-02259-9.","productDescription":"18 p.","startPage":"2339","endPage":"2356","ipdsId":"IP-117377","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437028,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97KZJGP","text":"USGS data release","linkHelpText":"Riparian vegetation, topography, sediment quality and river corridor geomorphology in the Lower Virgin River 2010-2017"},{"id":375517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, Utah","otherGeospatial":"Virgin River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.55419921875,\n 36.328402729422656\n ],\n [\n -113.02734374999999,\n 36.328402729422656\n ],\n [\n -113.02734374999999,\n 37.496652341233364\n ],\n [\n -115.55419921875,\n 37.496652341233364\n ],\n [\n -115.55419921875,\n 36.328402729422656\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gonzalez, Eduardo","contributorId":225181,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Eduardo","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":790705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":790706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Steven R. 0000-0002-4581-3684 srlee@usgs.gov","orcid":"https://orcid.org/0000-0002-4581-3684","contributorId":5630,"corporation":false,"usgs":true,"family":"Lee","given":"Steven","email":"srlee@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ostoja, Steven M.","contributorId":225183,"corporation":false,"usgs":false,"family":"Ostoja","given":"Steven M.","affiliations":[{"id":32922,"text":"USDA California Climate Hub","active":true,"usgs":false}],"preferred":false,"id":790708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790709,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210107,"text":"70210107 - 2020 - Migration corridors and threats in the Gulf of Mexico and Florida Straits for loggerhead sea turtles","interactions":[],"lastModifiedDate":"2020-05-14T15:14:47.624852","indexId":"70210107","displayToPublicDate":"2020-04-09T10:10:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Migration corridors and threats in the Gulf of Mexico and Florida Straits for loggerhead sea turtles","docAbstract":"

Along migration corridors, animals can face natural and anthropogenic threats that differ from those in breeding and non-breeding residence areas. Satellite telemetry can aid in describing the timing and location of these migrations. We use this tool with switching state-space modeling and line kernel density estimates to identify migration corridors of post-nesting adult female loggerhead sea turtles (Caretta caretta, n = 89 tracks) that nested at five beaches in the Gulf of Mexico. Turtles migrated in both neritic and oceanic areas of the Gulf of Mexico with some exiting the Gulf. High-use migration corridors were found in neritic areas to the west of Florida and also in the Florida Straits. Repeat tracking of post-nesting migrations for eight turtles showed variability in track overlap, ranging from ∼13 to 82% of tracks within 10 km of each other. Migration primarily occurred in July and August. We document the longest known post-nesting migration to-date of a wild adult female loggerhead of >4,300 km, along with an apparent stopover of about 1 month. Migration corridors overlaid on three spatially explicit anthropogenic threats (shipping density, commercial line fishing, and shrimp trawling) showed hotspots in the Florida Straits, off the northwest Florida coast and off the coast of Tampa Bay. Identifying where and at what intensity multiple human activities and natural processes most likely occur is a key goal of Cumulative Effects Assessments. Our results provide the scientific information needed for designing management strategies for this threatened species. Information about this loggerhead migration corridor can also be used to inform adaptive management as threats shift over time.

","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.00208","collaboration":"","usgsCitation":"Iverson, A., Benscoter, A., Fujisaki, I., Lamont, M., and Hart, K., 2020, Migration corridors and threats in the Gulf of Mexico and Florida Straits for loggerhead sea turtles: Frontiers in Marine Science, v. 7, 208, 12 p., https://doi.org/10.3389/fmars.2020.00208.","productDescription":"208, 12 p.","ipdsId":"IP-113942","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457117,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.00208","text":"Publisher Index Page"},{"id":374824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.0576171875,\n 23.28171917560002\n ],\n [\n -80.5517578125,\n 26.07652055985697\n ],\n [\n -82.2216796875,\n 27.68352808378776\n ],\n [\n -83.84765625,\n 30.14512718337613\n ],\n [\n -86.923828125,\n 30.44867367928756\n ],\n [\n -89.3408203125,\n 30.183121842195515\n ],\n [\n -90.8349609375,\n 29.458731185355344\n ],\n [\n -89.3408203125,\n 22.268764039073968\n ],\n [\n -79.0576171875,\n 23.28171917560002\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Iverson, Autumn 0000-0002-8353-6745","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":218320,"corporation":false,"usgs":true,"family":"Iverson","given":"Autumn","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benscoter, Allison 0000-0003-4205-3808","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":220759,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":789142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206815,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":207590,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789144,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70209600,"text":"70209600 - 2020 - Gap fill of Land surface temperature and reflectance products in Analysis Ready Data","interactions":[],"lastModifiedDate":"2020-04-15T11:45:58.03143","indexId":"70209600","displayToPublicDate":"2020-04-09T06:43:38","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":"Gap fill of Land surface temperature and reflectance products in Analysis Ready Data","docAbstract":"The recently released Landsat Analysis Ready Data (ARD) over the United States provides the opportunity to investigate landscape dynamics using dense time series observations at 30-m resolution. However, the dataset often contains data gaps (or missing data) because of cloud contamination or data acquisition strategy. We present a new algorithm that focuses on data gap filling using clear observations from orbit overlap regions. Multiple linear regression models were established for each pixel time series to estimate stable predictions and uncertainties. The model's training data came from stratified random samples based on the time series similarity between the pixel and data from the overlap regions. The algorithm was evaluated using four tiles (5,000 × 5,000 30-m pixels for each tile) from 2018 land surface temperature data (LST) in Atlanta, Georgia. The accuracy was assessed using 1,000 randomly masked pixels and daily air temperature from eight ground stations. Both assessments showed the r2 value above 0.75, except two stations with mixed Landsat pixels. We also compared our results with the eMODIS LST product in terms of annual mean temperature. The two maps showed a similar spatial pattern at the region level, but our results showed more spatial detail in the urban area that matched the pattern of impervious surface. We also applied the method on ARD surface reflectance bands at Fairbanks, Alaska, to illustrate its improvements in surface reflectance products and in land change modeling. This approach can also be applied to other datasets, vegetation indexes, or spectral reflectance bands of other sensors.","language":"English","publisher":"MDPI","doi":"10.3390/rs12071192","collaboration":"","usgsCitation":"Zhou, Q., Xian, G.Z., and Shi, H., 2020, Gap fill of Land surface temperature and reflectance products in Analysis Ready Data: Remote Sensing, v. 12, no. 7, 1192, 16 p., https://doi.org/10.3390/rs12071192.","productDescription":"1192, 16 p.","ipdsId":"IP-113228","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":457126,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12071192","text":"Publisher Index Page"},{"id":374000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Qiang 0000-0002-1282-8177","orcid":"https://orcid.org/0000-0002-1282-8177","contributorId":223103,"corporation":false,"usgs":true,"family":"Zhou","given":"Qiang","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":787086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":787087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@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":787088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70213050,"text":"70213050 - 2020 - Landslide disparities, flume discoveries, and Oso despair","interactions":[],"lastModifiedDate":"2020-09-09T13:34:21.549288","indexId":"70213050","displayToPublicDate":"2020-04-08T11:12:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6484,"text":"Perspectives of Earth and Space Scientists","active":true,"publicationSubtype":{"id":10}},"title":"Landslide disparities, flume discoveries, and Oso despair","docAbstract":"

Landslide dynamics is the branch of science that seeks to understand the motion of landslides by applying Newton's laws. This memoir focusses on a 40‐year effort to understand motion of highly mobile—and highly lethal—landslides such as debris avalanches and debris flows. A major component of this work entailed development and operation of the U.S. Geological Survey debris flow flume, a unique, large‐scale experimental facility in Oregon. Experiments there yielded new insights that informed development of mathematical models that were aimed not only at explaining landslide dynamics but also at evaluating landslide and debris flow hazards. The most sophisticated of these models, called D‐Claw, found its first practical application during investigations of the 2014 Oso, Washington, landslide disaster. That event provided indelible lessons about the utility and sociology of science in the real world.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019CN000117","usgsCitation":"Iverson, R.M., 2020, Landslide disparities, flume discoveries, and Oso despair: Perspectives of Earth and Space Scientists, v. 1, no. 1, e2019CN000117, 12 p., https://doi.org/10.1029/2019CN000117.","productDescription":"e2019CN000117, 12 p.","ipdsId":"IP-111886","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":457131,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019cn000117","text":"Publisher Index Page"},{"id":378201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Oso","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.95304870605469,\n 48.25576986959547\n ],\n [\n -121.89262390136717,\n 48.25576986959547\n ],\n [\n -121.89262390136717,\n 48.28593438872724\n ],\n [\n -121.95304870605469,\n 48.28593438872724\n ],\n [\n -121.95304870605469,\n 48.25576986959547\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@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":798078,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}