{"pageNumber":"474","pageRowStart":"11825","pageSize":"25","recordCount":165415,"records":[{"id":70221485,"text":"70221485 - 2021 - Effects of tidally varying river flow on entrainment of juvenile salmon into Sutter and Steamboat Sloughs","interactions":[],"lastModifiedDate":"2021-06-17T11:39:33.433744","indexId":"70221485","displayToPublicDate":"2021-06-15T06:37:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Effects of tidally varying river flow on entrainment of juvenile salmon into Sutter and Steamboat Sloughs","docAbstract":"

Survival of juvenile salmonids in the Sacramento–San Joaquin Delta (Delta) varies by migration route, and thus the proportion of fish that use each route affects overall survival through the Delta. Understanding factors that drive routing at channel junctions along the Sacramento River is therefore critical to devising management strategies that maximize survival. Here, we examine entrainment of acoustically tagged juvenile Chinook Salmon into Sutter and Steamboat sloughs from the Sacramento River. Because these sloughs divert fish away from the downstream entrances of the Delta Cross Channel and Georgiana Slough (where fish access the low-survival region of the interior Delta), management actions to increase fish entrainment into Sutter and Steamboat sloughs are being investigated to increase through-Delta survival. Previous studies suggest that fish generally “go with the flow”—as net flow into a divergence increases, the proportion of fish that enter that divergence correspondingly increases. However, complex tidal hydrodynamics at sub-daily time-scales may be decoupled from net flow. Therefore, we modeled routing of acoustic tagged juvenile salmon as a function of tidally varying hydrodynamic data, which was collected using temporary gaging stations deployed between March and May of 2014. Our results indicate that discharge, the proportion of flow that entered the slough, and the rate of change of flow were good predictors of an individual’s probability of being entrained. In addition, interactions between discharge and the proportion of flow revealed a non-linear relationship between flow and entrainment probability. We found that the highest proportions of fish are likely to be entrained into Steamboat Slough and Sutter Slough on the ascending and descending limbs of the tidal cycle, when flow changes from positive to negative. Our findings characterize how patterns of entrainment vary with tidal flow fluctuations, providing information critical for understanding the potential effect of management actions (e.g., fish guidance structures) to modify routing probabilities at this location.

Main Content
1Sponsored by the Delta Science Program and the UC Davis Muir InstituteABSTRACTSurvival of juvenile salmonids in the Sacramento–San Joaquin Delta (Delta) varies by migration route, and thus the proportion of fish that use each route affects overall survival through the Delta. Understanding factors that drive routing at channel junctions along the Sacramento River is therefore critical to devising management strategies that maximize survival. Here, we examine entrainment of acoustically tagged juvenile Chinook Salmon into Sutter and Steamboat sloughs from the Sacramento River. Because these sloughs divert fish away from the downstream entrances of the Delta Cross Channel and Georgiana Slough (where fish access SFEWS Volume 19 | Issue 2 | Article 4https://doi.org/10.15447/sfews.2021v19iss2art4* Corresponding author: rperry@usgs.gov1 Western Fisheries Research Center US Geological Survey Cook, WA 98605 USA2 California Water Science Center US Geological Survey Sacramento, CA 95819 USA3 Current address: Mid-Columbia Fish and Wildlife Conservation Office Yakima Basin Program US Fish and Wildlife Service Yakima, WA 98903 USAthe low-survival region of the interior Delta), management actions to increase fish entrainment into Sutter and Steamboat sloughs are being investigated to increase through-Delta survival. Previous studies suggest that fish generally “go with the flow”—as net flow into a divergence increases, the proportion of fish that enter that divergence correspondingly increases. However, complex tidal hydrodynamics at sub-daily time-scales may be decoupled from net flow. Therefore, we modeled routing of acoustic tagged juvenile salmon as a function of tidally varying hydrodynamic data, which was collected using temporary gaging stations deployed between March and May of 2014. Our results indicate that discharge, the proportion of flow that entered the slough, and the rate of change of flow were good predictors of an individual’s probability of being entrained. In addition, interactions between discharge and the proportion of flow revealed a non-linear relationship between flow and entrainment probability. We found that the highest proportions of fish are likely to be entrained into Steamboat Slough and Sutter Slough on the ascending and descending limbs of the tidal cycle, when flow changes from positive to negative. Our findings characterize how patterns of entrainment vary with tidal flow fluctuations, providing information critical for understanding the potential effect of management RESEARCHEffects of Tidally Varying River Flow on Entrainment of Juvenile Salmon into Sutter and Steamboat Sloughs Jason G. Romine1,3, Russell W. Perry*1, Paul R. Stumpner2, Aaron R. Blake2, Jon R. Burau2
2VOLUME 19, ISSUE 2, ARTICLE 4actions (e.g., fish guidance structures) to modify routing probabilities at this location. KEY WORDSTelemetry, juvenile salmon, migration routing, survivalINTRODUCTIONThe Sacramento–San Joaquin River Delta (hereafter referred to as “the Delta”) is a complex series of channels and embayments in west central California of the United States. The Delta has undergone drastic transformation through construction of dikes, levees, reclaimed land, dredged canals and cuts, and water export projects (Nichols et al. 1986). The loss of habitat coupled with introduction of non-native piscivorous fishes has led to the decline of several salmonid stocks that utilize the Delta (Lindley 2009; National Marine Fisheries Service 2014). The physical complexity of the Delta poses significant challenges for understanding how juvenile salmon negotiate the complex channel network and survive in different migration routes. Yet such information is critical for understanding how water-management actions, such as operation of water diversions, influence survival of juvenile salmon.Through-Delta survival of juvenile Chinook Salmon that emigrate from the Sacramento River ranges from 10% to 80%, depending on river flow and migration route (Perry et al. 2018). The Delta can be broken down into four primary routes: (1) Sacramento River, (2) Steamboat and Sutter sloughs, (3) Georgiana Slough, and (4) Delta Cross Channel (DCC). Fish that remain in the Sacramento River consistently have the highest survival (Perry et al. 2010, 2013, 2018). However, fish that enter the interior Delta—the region to the south of the Sacramento River (Figure 1)—have the lowest survival among all routes and survive at less than half the rate of fish in the Sacramento River, likely as a result of longer migration times and exposure to non-native predators (Newman and Brandes 2010; Perry et al. 2018). On average, fish that migrate through Steamboat and Sutter sloughs exhibit survival similar to fish that remain in the Sacramento River at high flows but have lower survival at low flows (Perry et al. 2018). Because of differences in survival among migration routes, the proportion of fish that use each route affects the total survival of the population. Therefore, understanding the drivers behind fish routing in the Delta is imperative to inform management actions that help in the recovery of imperiled salmonid populations in the Central Valley. For example, Perry et al. (2013) found that total survival through the Delta could be increased by up to 7 percentage points by eliminating entrainment into Georgiana Slough and the DCC. These findings led to investigation of management actions to reduce entrainment into the DCC (Plumb et al. 2016) and Georgiana Slough (Perry et al. 2014). Both physical and non-physical barriers have been tested at the entrance to Georgiana Slough divergence (Perry et al. 2014; Romine et al. 2016). A non-physical barrier was able to reduce entrainment to the interior Delta through Georgiana Slough (Perry et al. 2014), but a floating fish-guidance structure reduced entrainment to a lesser extent (Romine et al. 2016). Research and engineering solutions to minimize entrainment have focused on the Georgiana Slough divergence, the DCC divergence, and the Old River divergence in the San Joaquin River (Buchanan et al. 2013; SJRG 2013). However, there has been little focus on understanding fish routing dynamics at other primary river junctions in the Delta, such as Sutter and Steamboat sloughs. Sutter and Steamboat sloughs diverge from the Sacramento about 10 km upstream from the DCC and Georgiana slough, and represent the first major junction that juvenile salmon encounter as they enter the Delta from the Sacramento River (Figure 1). Because Sutter and Steamboat sloughs are upstream of the entrance to the interior Delta via the DCC and Georgiana Slough (Figure 1), juvenile salmon that enter Sutter and Steamboat sloughs avoid entrainment into the interior Delta where survival is low. Thus, management actions to increase entrainment could increase overall.
","language":"English","publisher":"University of California-Davis","doi":"10.15447/sfews.2021v19iss2art4","usgsCitation":"Romine, J., Perry, R., Stumpner, P., Blake, A.R., and Burau, J.R., 2021, Effects of tidally varying river flow on entrainment of juvenile salmon into Sutter and Steamboat Sloughs: San Francisco Estuary and Watershed Science, v. 19, no. 2, p. 1-17, https://doi.org/10.15447/sfews.2021v19iss2art4.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-076148","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":451885,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2021v19iss2art4","text":"Publisher Index Page"},{"id":436309,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HSLFRE","text":"USGS data release","linkHelpText":"Tidal flow dynamics at Sutter and Steamboat Sloughs in the Sacramento-San Joaquin Delta, CA in 2014"},{"id":386562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.14736938476562,\n 38.070798163726785\n ],\n [\n -121.92489624023436,\n 38.070798163726785\n ],\n [\n -121.92489624023436,\n 38.25867146839721\n ],\n [\n -122.14736938476562,\n 38.25867146839721\n ],\n [\n -122.14736938476562,\n 38.070798163726785\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Romine, Jason G.","contributorId":207092,"corporation":false,"usgs":false,"family":"Romine","given":"Jason G.","affiliations":[{"id":37451,"text":"U.S. Fish & Wildlife Service, Mid-Columbia River National Wildlife Refuge Complex, 64 Maple St., Burbank, WA 99323","active":true,"usgs":false}],"preferred":false,"id":817812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220189,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":817813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stumpner, Paul 0000-0002-0933-7895 pstump@usgs.gov","orcid":"https://orcid.org/0000-0002-0933-7895","contributorId":5667,"corporation":false,"usgs":true,"family":"Stumpner","given":"Paul","email":"pstump@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blake, Aaron R. 0000-0001-7348-2336 ablake@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-2336","contributorId":5059,"corporation":false,"usgs":true,"family":"Blake","given":"Aaron","email":"ablake@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burau, Jon R. 0000-0002-5196-5035 jrburau@usgs.gov","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":1500,"corporation":false,"usgs":true,"family":"Burau","given":"Jon","email":"jrburau@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817816,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221383,"text":"ofr20211039 - 2021 - Processing coastal imagery with Agisoft Metashape Professional Edition, version 1.6—Structure from motion workflow documentation","interactions":[],"lastModifiedDate":"2021-06-15T10:24:25.070224","indexId":"ofr20211039","displayToPublicDate":"2021-06-14T17:10:42","publicationYear":"2021","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":"2021-1039","displayTitle":"Processing Coastal Imagery With Agisoft Metashape Professional Edition, Version 1.6—Structure From Motion Workflow Documentation","title":"Processing coastal imagery with Agisoft Metashape Professional Edition, version 1.6—Structure from motion workflow documentation","docAbstract":"

Introduction

Structure from motion (SFM) has become an integral technique in coastal change assessment; the U.S. Geological Survey (USGS) used Agisoft Metashape Professional Edition photogrammetry software to develop a workflow that processes coastline aerial imagery collected in response to storms since Hurricane Florence in 2018. This report details step-by-step instructions to create three-dimensional (3D) spatial products from both singular and repeated collections of shoreline aerial imagery. The products can be used for real-time hazard guidance and future forecasting and recovery endeavors.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211039","usgsCitation":"Over, J.R., Ritchie, A.C., Kranenburg, C.J., Brown, J.A., Buscombe, D., Noble, T., Sherwood, C.R., Warrick, J.A., and Wernette, P.A., 2021, Processing coastal imagery with Agisoft Metashape Professional Edition, version 1.6—Structure from motion workflow documentation: U.S. Geological Survey Open-File Report 2021–1039, 46 p., https://doi.org/10.3133/ofr20211039.","productDescription":"viii, 46","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-121963","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":436312,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DGS5B9","text":"USGS data release","linkHelpText":"Agisoft Metashape/Photoscan Automated Image Alignment and Error Reduction version 2.0"},{"id":436311,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ISFCVN","text":"USGS data release","linkHelpText":"Aerial Imagery of the North Carolina Coast: 2020-02-08 to 2020-02-09"},{"id":436310,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99TL46N","text":"USGS data release","linkHelpText":"Aerial Imagery of the North Carolina Coast: 2019-11-26"},{"id":386455,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1039/coverthb.jpg"},{"id":386456,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1039/ofr20211039.pdf","text":"Report","size":"31.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1039"}],"contact":"

Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543–1598
508–548–8700 or 508–457–2200

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-06-14","noUsgsAuthors":false,"publicationDate":"2021-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Over, Jin-Si R. 0000-0001-6753-7185 jover@usgs.gov","orcid":"https://orcid.org/0000-0001-6753-7185","contributorId":260178,"corporation":false,"usgs":true,"family":"Over","given":"Jin-Si","email":"jover@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kranenburg, Christine J. 0000-0002-2955-0167 ckranenburg@usgs.gov","orcid":"https://orcid.org/0000-0002-2955-0167","contributorId":169234,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine","email":"ckranenburg@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Jenna A. 0000-0003-3137-7073","orcid":"https://orcid.org/0000-0003-3137-7073","contributorId":208564,"corporation":false,"usgs":true,"family":"Brown","given":"Jenna A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":817466,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noble, Tom","contributorId":260201,"corporation":false,"usgs":false,"family":"Noble","given":"Tom","email":"","affiliations":[],"preferred":false,"id":817556,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817467,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":146720,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":817615,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wernette, Phillipe A. 0000-0002-8902-5575 pwernette@usgs.gov","orcid":"https://orcid.org/0000-0002-8902-5575","contributorId":260241,"corporation":false,"usgs":true,"family":"Wernette","given":"Phillipe","email":"pwernette@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817616,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70221406,"text":"sir20215025 - 2021 - Streambank erosion and related geomorphic change in Tuolumne Meadows, Yosemite National Park, California","interactions":[],"lastModifiedDate":"2021-06-15T14:03:46.782093","indexId":"sir20215025","displayToPublicDate":"2021-06-14T12:57:54","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5025","displayTitle":"Streambank Erosion and Related Geomorphic Change in Tuolumne Meadows, Yosemite National Park, California","title":"Streambank erosion and related geomorphic change in Tuolumne Meadows, Yosemite National Park, California","docAbstract":"

Landscape change in Tuolumne Meadows, Yosemite National Park, California, was characterized using data derived from four lidar surveys: one airborne survey in 2006 and three terrestrial surveys in 2016, 2017, and 2018. These surveys were used to generate a better quantitative understanding of changes associated with fluvial processes along the reach of the Tuolumne River within Tuolumne Meadows. This research was performed to provide a scientific basis for restoration and management decisions made by the National Park Service in accordance with the Tuolumne Wild and Scenic River Final Comprehensive Management Plan. A total of 15 reaches of the streambanks along the Tuolumne River in Tuolumne Meadows were subject to measurable streambank erosion between 2006 and 2018. In these areas, streambank retreat rates ranged between 0 and 2.7 meters per year (m/yr), recorded as an average retreat distance along the length of changing streambank position, with most retreat rates being less than 0.50 m/yr. The highest streambank retreat rates are associated with a year of high spring streamflow in 2017. Based on the data available, it was concluded that deposition on channel and point bars balances streambank erosion over a period of 12 years along the Tuolumne River in Tuolumne Meadows. As such, the river could be considered to be in a state of dynamic equilibrium during this period; erosion and sedimentation occur in distinct pulses in response to hydrological forcing but it is not clear that there is a trend towards sediment accumulation or removal in Tuolumne Meadows nor is there an obvious trend toward channel widening or narrowing. The existence of visible paleochannels in the meadow are an indication that more dramatic channel planform geometry changes have occurred in Tuolumne Meadows over an undetermined period and may occur again in the future. Geomorphic change rates relate to hydrology; during the study period, the high water in 2017 led to the highest rates of geomorphic change. Land managers should anticipate that floods with discharge rates greater than the peak flow in 2017 may cause more substantial landscape change than what was observed in this study, but erosion resulting from these events may be balanced by channel and point-bar deposition over a period of years.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215025","collaboration":"Prepared in cooperation with National Park Service","usgsCitation":"DeLong, S.B., Pickering, A.J., and Kuhn, T., 2021, Streambank erosion and related geomorphic change in Tuolumne Meadows, Yosemite National Park, California: U.S. Geological Survey Scientific Investigations Report 2021–5025, 87 p., https://doi.org/10.3133/sir20215025.","productDescription":"viii, 87 p.","numberOfPages":"87","onlineOnly":"Y","ipdsId":"IP-118934","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":386473,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5025/sir20215025.pdf","text":"Report","size":"45 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":386472,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5025/covrthb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.03936767578124,\n 37.461778479617465\n ],\n [\n -118.85284423828124,\n 37.461778479617465\n ],\n [\n -118.85284423828124,\n 38.0091482264894\n ],\n [\n -120.03936767578124,\n 38.0091482264894\n ],\n [\n -120.03936767578124,\n 37.461778479617465\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Earthquake Science Center—Menlo Park, Calif. Office
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-06-14","noUsgsAuthors":false,"publicationDate":"2021-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":817611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pickering, Alexandra J. 0000-0002-1281-6117 apickering@usgs.gov","orcid":"https://orcid.org/0000-0002-1281-6117","contributorId":5990,"corporation":false,"usgs":true,"family":"Pickering","given":"Alexandra","email":"apickering@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":817612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuhn, Timothy","contributorId":260240,"corporation":false,"usgs":false,"family":"Kuhn","given":"Timothy","email":"","affiliations":[{"id":13367,"text":"National Parks Service","active":true,"usgs":false}],"preferred":true,"id":817613,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221096,"text":"fs20213031 - 2021 - Monitoring and assessing urban heat island variations and effects in the United States","interactions":[],"lastModifiedDate":"2021-06-15T10:08:30.944665","indexId":"fs20213031","displayToPublicDate":"2021-06-14T11:20:59","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3031","displayTitle":"Monitoring and Assessing Urban Heat Island Variations and Effects in the United States","title":"Monitoring and assessing urban heat island variations and effects in the United States","docAbstract":"

Landsat surface temperature and land cover products have been used to estimate surface temperatures in urban and surrounding nonurban areas and to quantify urban heat island intensity. Understanding the intensity and long-term temporal trends of urban heat islands enables the heat-related health challenges associated with heat waves to be monitored and the effects for human health and ecosystems to be better understood.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213031","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Xian, G.Z., 2021, Monitoring and assessing urban heat island variations and effects in the United States: U.S. Geological Survey Fact Sheet 2021–3031, 2 p., https://doi.org/10.3133/fs20213031.","productDescription":"Report: 2 p.; Data Release","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-129124","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":386098,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H6E1FZ","text":"USGS data release","linkHelpText":"Land surface thermal feature change monitoring in urban and urban wild land interface (ver. 3.0, June 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Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-14","noUsgsAuthors":false,"publicationDate":"2021-06-14","publicationStatus":"PW","contributors":{"authors":[{"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":816755,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70229093,"text":"70229093 - 2021 - Hippopotamus movements structure the spatiotemporal dynamics of an active anthrax outbreak","interactions":[],"lastModifiedDate":"2022-02-28T14:26:25.256675","indexId":"70229093","displayToPublicDate":"2021-06-14T08:13:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Hippopotamus movements structure the spatiotemporal dynamics of an active anthrax outbreak","docAbstract":"

Globally, anthrax outbreaks pose a serious threat to people, livestock, and wildlife. Furthermore, environmental change can exacerbate these outbreak dynamics by altering the host–pathogen relationship. However, little is known about how the quantitative spatial dynamics of host movement and environmental change may affect the spread of Bacillus anthracis, the causative agent of anthrax. Here, we use real-time observations and high-resolution tracking data from a population of common hippopotamus (Hippopotamus amphibius) in Tanzania to explore the relationship between river hydrology, H. amphibius movement, and the spatiotemporal dynamics of an active anthrax outbreak. We found that extreme river drying, a consequence of anthropogenic disturbances to our study river, indirectly facilitated the spread of B. anthracis by modulating H. amphibius movements. Our findings reveal that anthrax spread upstream in the Great Ruaha River (~3.5 km over a 9-day period), which followed the movement patterns of infected H. amphibius, who moved upstream as the river dried in search of remaining aquatic refugia. These upstream movements can result in large aggregations of H. amphibius. However, despite these aggregations, the density of H. amphibius in river pools did not influence the number of B. anthracis-induced mortalities. Moreover, infection by B. anthracis did not appear to influence H. amphibius movement behaviors, which suggests that infected individuals can vector B. anthracis over large distances right up until their death. Finally, we show that contact rates between H. amphibius- and B. anthracis-infected river pools are highly variable and the frequency and duration of contacts could potentially increase the probability of mortality. While difficult to obtain, the quantitative insights that we gathered during a real-time anthrax outbreak are critical to better understand, predict, and manage future outbreaks.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3540","usgsCitation":"Stears, K., Schmitt, M.H., Turner, W.C., McCauley, D., Muse, E.A., Kiwango, H., Matheyo, D., and Mutayoba, B.M., 2021, Hippopotamus movements structure the spatiotemporal dynamics of an active anthrax outbreak: Ecosphere, v. 12, no. 6, e03540, 14 p., https://doi.org/10.1002/ecs2.3540.","productDescription":"e03540, 14 p.","ipdsId":"IP-121950","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":451887,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3540","text":"Publisher Index Page"},{"id":396541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Tanzania","otherGeospatial":"Ruaha National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 33.95874023437499,\n -8.697784143504906\n ],\n [\n 34.87884521484374,\n -8.697784143504906\n ],\n [\n 34.87884521484374,\n -7.917793352627911\n ],\n [\n 33.95874023437499,\n -7.917793352627911\n ],\n [\n 33.95874023437499,\n -8.697784143504906\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Stears, Keenan","contributorId":287054,"corporation":false,"usgs":false,"family":"Stears","given":"Keenan","email":"","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":836456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmitt, Melissa H.","contributorId":287055,"corporation":false,"usgs":false,"family":"Schmitt","given":"Melissa","email":"","middleInitial":"H.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":836457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCauley, Douglas J.","contributorId":287056,"corporation":false,"usgs":false,"family":"McCauley","given":"Douglas J.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":836458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muse, Epaphras A.","contributorId":287060,"corporation":false,"usgs":false,"family":"Muse","given":"Epaphras","email":"","middleInitial":"A.","affiliations":[{"id":61455,"text":"Tanzania National Parks","active":true,"usgs":false}],"preferred":false,"id":836459,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kiwango, Halima","contributorId":287062,"corporation":false,"usgs":false,"family":"Kiwango","given":"Halima","email":"","affiliations":[{"id":61455,"text":"Tanzania National Parks","active":true,"usgs":false}],"preferred":false,"id":836460,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matheyo, Daniel","contributorId":287063,"corporation":false,"usgs":false,"family":"Matheyo","given":"Daniel","email":"","affiliations":[{"id":61455,"text":"Tanzania National Parks","active":true,"usgs":false}],"preferred":false,"id":836461,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mutayoba, Benezeth M.","contributorId":287064,"corporation":false,"usgs":false,"family":"Mutayoba","given":"Benezeth","email":"","middleInitial":"M.","affiliations":[{"id":61457,"text":"Sokoine University of Agriculture","active":true,"usgs":false}],"preferred":false,"id":836462,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70222470,"text":"70222470 - 2021 - Seasonal controls on sediment delivery and hydrodynamics in a vegetated tidally influenced interdistributary island","interactions":[],"lastModifiedDate":"2021-07-30T13:15:24.206845","indexId":"70222470","displayToPublicDate":"2021-06-14T08:12:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal controls on sediment delivery and hydrodynamics in a vegetated tidally influenced interdistributary island","docAbstract":"

River deltas are maintained by a continuous supply of terrestrial sediments that provide critical land building material to help sustain and protect vulnerable ecological communities and serve as natural storm protection barriers. Local hydrodynamics are important in determining the degree to which fluvial sediments are removed from the water column and retained on the delta complex. During 2014, we measured hydrodynamics and sediment transport characteristics at one of the world's most rapidly prograding deltas, the Wax Lake delta in Louisiana, USA. We observed waves to be the dominant source of bottom stress for 70% of our observations. Sediment concentration tended to increase with shear stress, but only after stresses exceeded 0.01–0.02 Pa. Significant wave height and bottom stress were substantially reduced after June, when the emergence of American lotus (Nelumbo lutea) formed a dense canopy over the intertidal regions of the island splay. Hydrodynamics during these summer vegetated conditions were much more favorable to floc formation, and by extension particle settling, as shown by trends in the Kolmogorov microscale parameter over the course of the measurement campaign. Together, these findings suggest that the timing between peak river discharge and the emergence of vegetation may have a strong influence on rates of progradation in seasonally vegetated delta splays, whereby sediments delivered by flood events that extend late into summer may be governed by hydrodynamics that favor particle deposition, whereas those delivered prior to the summer may be more prone to remain in suspension and bypass the delta complex.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JC016146","usgsCitation":"Styles, R., Snedden, G., Smith, S.J., Bryant, D.B., Boyd, B.M., Gailani, J.Z., Couvillion, B., and Race, E., 2021, Seasonal controls on sediment delivery and hydrodynamics in a vegetated tidally influenced interdistributary island: Journal of Geophysical Research: Oceans, v. 126, no. 7, e2020JC016146, 16 p., https://doi.org/10.1029/2020JC016146.","productDescription":"e2020JC016146, 16 p.","ipdsId":"IP-117726","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":451890,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020jc016146","text":"Publisher Index Page"},{"id":387581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Wax Lake Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.50581359863281,\n 29.461720487378052\n ],\n [\n -91.35749816894531,\n 29.461720487378052\n ],\n [\n -91.35749816894531,\n 29.569276643569875\n ],\n [\n -91.50581359863281,\n 29.569276643569875\n ],\n [\n -91.50581359863281,\n 29.461720487378052\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Styles, Richard","contributorId":261535,"corporation":false,"usgs":false,"family":"Styles","given":"Richard","email":"","affiliations":[{"id":52868,"text":"U.S. Army Corps of Engineers, Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":820134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snedden, Gregg 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":216669,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, S. Jarrell","contributorId":261536,"corporation":false,"usgs":false,"family":"Smith","given":"S.","email":"","middleInitial":"Jarrell","affiliations":[{"id":52868,"text":"U.S. Army Corps of Engineers, Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":820136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bryant, Duncan B.","contributorId":261537,"corporation":false,"usgs":false,"family":"Bryant","given":"Duncan","email":"","middleInitial":"B.","affiliations":[{"id":52868,"text":"U.S. Army Corps of Engineers, Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":820137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyd, Brandon M.","contributorId":261538,"corporation":false,"usgs":false,"family":"Boyd","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":52868,"text":"U.S. Army Corps of Engineers, Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":820138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gailani, Joseph Z.","contributorId":261539,"corporation":false,"usgs":false,"family":"Gailani","given":"Joseph","email":"","middleInitial":"Z.","affiliations":[{"id":52868,"text":"U.S. Army Corps of Engineers, Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":820139,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":222810,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820140,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Race, Edward","contributorId":261540,"corporation":false,"usgs":false,"family":"Race","given":"Edward","email":"","affiliations":[{"id":52868,"text":"U.S. Army Corps of Engineers, Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":820141,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70221512,"text":"70221512 - 2021 - Teleseismic waves reveal anisotropic poroelastic response of wastewater disposal reservoir","interactions":[],"lastModifiedDate":"2021-06-21T12:42:23.253562","indexId":"70221512","displayToPublicDate":"2021-06-14T07:39:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8939,"text":"Earth and Planetary Physics","active":true,"publicationSubtype":{"id":10}},"title":"Teleseismic waves reveal anisotropic poroelastic response of wastewater disposal reservoir","docAbstract":"

Connecting earthquake nucleation in basement rock to fluid injection in basal, sedimentary reservoirs, depends heavily on choices related to the poroelastic properties of the fluid-rock system, thermo-chemical effects notwithstanding. Direct constraints on these parameters outside of laboratory settings are rare, and it is commonly assumed that the rock layers are isotropic. With the Arbuckle wastewater disposal reservoir in Osage County, Oklahoma, high-frequency formation pressure changes and collocated broadband ground velocities measured during the passing of large teleseismic waves show a poroelastic response of the reservoir that is both azimuthally variable and anisotropic; this includes evidence of static shifts in pressure that presumably relate to changes in local permeability. The azimuthal dependence in both the static response and shear coupling appears related to tectonic stress and strain indicators such as the orientations of the maximum horizontal stress and faults and fractures. Using dynamic strains from a nearby borehole strainmeter, we show that the ratio of shear to volumetric strain coupling is ∼0.41\">∼0.41∼0.41 which implies a mean Skempton's coefficient of A=0.24\">A=0.24A=0.24 over the plausible range of the undrained Poisson's ratio. Since these observations are made at relatively low confining pressure and differential stress, we suggest that the hydraulically conductive fracture network is a primary control on the coupling between pore pressure diffusion and elastic stresses in response to natural or anthropogenic sources.

","language":"English","publisher":"Earth and Planetary Physics","doi":"10.26464/epp2021034","usgsCitation":"Barbour, A.J., and Beeler, N.M., 2021, Teleseismic waves reveal anisotropic poroelastic response of wastewater disposal reservoir: Earth and Planetary Physics, v. 5, no. 4, p. 1-12, https://doi.org/10.26464/epp2021034.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-125482","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":451893,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26464/epp2021034","text":"Publisher Index Page"},{"id":386609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":817908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":817909,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70224310,"text":"70224310 - 2021 - Spatial Gaussian processes improve multi-species occupancy models when range boundaries are uncertain and nonoverlapping","interactions":[],"lastModifiedDate":"2021-09-21T12:39:44.167853","indexId":"70224310","displayToPublicDate":"2021-06-14T07:37:44","publicationYear":"2021","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":"Spatial Gaussian processes improve multi-species occupancy models when range boundaries are uncertain and nonoverlapping","docAbstract":"
  1. Species distribution models enable practitioners to analyze large datasets of encounter records and make predictions about species occurrence at unsurveyed locations. In omnibus surveys that record data on multiple species simultaneously, species ranges are often nonoverlapping and misaligned with the administrative unit defining the spatial domain of interest (e.g., a state or province). Consequently, some species display differentially restricted extents within a study area. Assuming hard boundaries based on expert opinion or published range maps to restrict species occurrence predictions implies a false sense of certainty in model-based inferences.
  2. We propose a multi-species occupancy model with a spatial Gaussian process on site-specific effects for each species as a model-based solution. Specifying informative Bayesian hyperpriors on the spatial hyperparameters encapsulates broad-scale correlation among site occupancy probabilities for each species. We fit this model to acoustic detection/nondetection data collected with autonomous recording units during summer of 2016–2019 throughout Oregon and Washington, USA, on 15 bat species.
  3. We found vast improvements in spatial predictions of spotted bat (Euderma maculatum), canyon bat (Parastrellus hesperus), and Brazilian free-tailed bat (Tadarida brasiliensis) when the available environmental predictors were insufficient for characterizing their restricted ranges within the region.
  4. In contrast, widespread species (Lasionycteris noctivagans, Myotis californicus, Myotis evotis, Myotis volans) were appropriately modeled using only environmental predictors, such as percentage forest cover and cliff and canyon cover.
  5. Utilizing spatial Gaussian processes within a community or multi-species model incorporates uncertainty in range boundaries and allows for simultaneous predictions for the entire faunal assemblage even if species have nonoverlapping or restricted ranges within a spatial domain of interest. Such modeling improvements are essential if species distribution models are to accurately inform monitoring, species recovery plans, and other conservation efforts.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7629","usgsCitation":"Wright, W., Irvine, K.M., Rodhouse, T., and Litt, A., 2021, Spatial Gaussian processes improve multi-species occupancy models when range boundaries are uncertain and nonoverlapping: Ecology and Evolution, v. 11, no. 13, p. 8516-8527, https://doi.org/10.1002/ece3.7629.","productDescription":"12 p.","startPage":"8516","endPage":"8527","ipdsId":"IP-120600","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":451896,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7629","text":"Publisher Index Page"},{"id":389534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"13","noUsgsAuthors":false,"publicationDate":"2021-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Wilson","contributorId":265899,"corporation":false,"usgs":false,"family":"Wright","given":"Wilson","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":823684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":823685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodhouse, Tom","contributorId":265903,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Tom","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":823686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Litt, Andrea R.","contributorId":22226,"corporation":false,"usgs":true,"family":"Litt","given":"Andrea R.","affiliations":[],"preferred":false,"id":823687,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221514,"text":"70221514 - 2021 - Use of the MODFLOW 6 water mover package to represent natural and managed hydrologic connections","interactions":[],"lastModifiedDate":"2024-09-16T15:57:58.719957","indexId":"70221514","displayToPublicDate":"2021-06-14T07:32:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Use of the MODFLOW 6 water mover package to represent natural and managed hydrologic connections","docAbstract":"

The latest release of MODFLOW 6, the current core version of the MODFLOW groundwater modeling software, debuted a new package dubbed the “mover” (MVR). Using a generalized approach, MVR facilitates the transfer of water among any arbitrary combination of simulated features (i.e., pumping wells, stream, drains, lakes, etc.) within a MODFLOW 6 simulation. Four “rules” controlling the amount of water transferred from a providing feature to a receiving feature are currently available. In this way, MVR can represent natural connections between features, for example streams entering or exiting lakes, and perhaps more interestingly, it also can transfer water among simulated features to more accurately simulate water management. An example model representative of an agricultural setting demonstrates some of the available MVR connections. For example, an irrigation event that transfers surface water from an irrigation delivery ditch to multiple cropped areas demonstrates a “one-to-many” connection that is possible within MVR. Conversely, irrigation or precipitation runoff from multiple fields may be routed to a particular stream segment using “many-to-one” MVR connections. MVR supports many additional connection types, several of which are demonstrated by the included example problem.

","language":"English","publisher":"Wiley","doi":"10.1111/gwat.13117","usgsCitation":"Morway, E.D., Langevin, C.D., and Hughes, J.D., 2021, Use of the MODFLOW 6 water mover package to represent natural and managed hydrologic connections: Groundwater, v. 59, no. 6, p. 913-924, https://doi.org/10.1111/gwat.13117.","productDescription":"12 p.","startPage":"913","endPage":"924","ipdsId":"IP-125159","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":436313,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GQETP9","text":"USGS data release","linkHelpText":"MODFLOW 6 model of two hypothetical stream-aquifer systems to demonstrate the utility of the new Mover Package available only with MODFLOW 6"},{"id":386608,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":817914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":817915,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70226150,"text":"70226150 - 2021 - Advancing estuarine ecological forecasts: Seasonal hypoxia in Chesapeake Bay","interactions":[],"lastModifiedDate":"2021-11-15T12:25:59.286872","indexId":"70226150","displayToPublicDate":"2021-06-14T06:23:04","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Advancing estuarine ecological forecasts: Seasonal hypoxia in Chesapeake Bay","docAbstract":"

Ecological forecasts are quantitative tools that can guide ecosystem management. The coemergence of extensive environmental monitoring and quantitative frameworks allows for widespread development and continued improvement of ecological forecasting systems. We use a relatively simple estuarine hypoxia model to demonstrate advances in addressing some of the most critical challenges and opportunities of contemporary ecological forecasting, including predictive accuracy, uncertainty characterization, and management relevance. We explore the impacts of different combinations of forecast metrics, drivers, and driver time windows on predictive performance. We also incorporate multiple sets of state-variable observations from different sources and separately quantify model prediction error and measurement uncertainty through a flexible Bayesian hierarchical framework. Results illustrate the benefits of (1) adopting forecast metrics and drivers that strike an optimal balance between predictability and relevance to management, (2) incorporating multiple data sources in the calibration data set to separate and propagate different sources of uncertainty, and (3) using the model in scenario mode to probabilistically evaluate the effects of alternative management decisions on future ecosystem state. In the Chesapeake Bay, the subject of this case study, we find that average summer or total annual hypoxia metrics are more predictable than monthly metrics and that measurement error represents an important source of uncertainty. Application of the model in scenario mode suggests that absent watershed management actions over the past decades, long-term average hypoxia would have increased by 7% compared to 1985. Conversely, the model projects that if management goals currently in place to restore the Bay are met, long-term average hypoxia would eventually decrease by 32% with respect to the mid-1980s.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2384","usgsCitation":"Scavia, D., Bertani, I., Testa, J.M., Bever, A.J., Blomquist, J.D., Friedrichs, M.A., Linker, L.C., Michael, B., Murphy, R., and Shenk, G.W., 2021, Advancing estuarine ecological forecasts: Seasonal hypoxia in Chesapeake Bay: Ecological Applications, v. 31, no. 6, e02384, 19 p., https://doi.org/10.1002/eap.2384.","productDescription":"e02384, 19 p.","ipdsId":"IP-126252","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":451901,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/eap.2384","text":"External Repository"},{"id":391676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.2998046875,\n 36.58024660149866\n ],\n [\n -75.322265625,\n 36.58024660149866\n ],\n [\n -75.322265625,\n 39.774769485295465\n ],\n [\n -77.2998046875,\n 39.774769485295465\n ],\n [\n -77.2998046875,\n 36.58024660149866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Scavia, Donald","contributorId":200340,"corporation":false,"usgs":false,"family":"Scavia","given":"Donald","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":826653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertani, Isabella","contributorId":194574,"corporation":false,"usgs":false,"family":"Bertani","given":"Isabella","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":826654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Testa, Jeremy M.","contributorId":244524,"corporation":false,"usgs":false,"family":"Testa","given":"Jeremy","email":"","middleInitial":"M.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":826662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bever, Aaron J.","contributorId":173009,"corporation":false,"usgs":false,"family":"Bever","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":27140,"text":"Delta Modeling Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":826655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blomquist, Joel D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":215461,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826656,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friedrichs, Marjorie A. M. 0000-0003-2828-7595","orcid":"https://orcid.org/0000-0003-2828-7595","contributorId":222588,"corporation":false,"usgs":false,"family":"Friedrichs","given":"Marjorie","email":"","middleInitial":"A. M.","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":826657,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Linker, Lewis C. 0000-0002-3456-3659","orcid":"https://orcid.org/0000-0002-3456-3659","contributorId":252964,"corporation":false,"usgs":false,"family":"Linker","given":"Lewis","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":826658,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michael, Bruce","contributorId":268786,"corporation":false,"usgs":false,"family":"Michael","given":"Bruce","email":"","affiliations":[{"id":55661,"text":"Maryland Dept of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":826659,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Rebecca 0000-0003-3391-1823","orcid":"https://orcid.org/0000-0003-3391-1823","contributorId":199777,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":true,"id":826660,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826661,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70221341,"text":"sir20215045 - 2021 - Effects of climate and land-use change on thermal springs recharge—A system-based coupled surface-water and groundwater-flow model for Hot Springs National Park, Arkansas","interactions":[],"lastModifiedDate":"2021-06-14T12:24:43.182902","indexId":"sir20215045","displayToPublicDate":"2021-06-14T05:49:20","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5045","displayTitle":"Effects of Climate and Land-Use Change on Thermal Springs Recharge—A System-Based Coupled Surface-Water and Groundwater-Flow Model for Hot Springs National Park, Arkansas","title":"Effects of climate and land-use change on thermal springs recharge—A system-based coupled surface-water and groundwater-flow model for Hot Springs National Park, Arkansas","docAbstract":"

A three-dimensional hydrogeologic framework of the Hot Springs anticlinorium beneath Hot Springs National Park, Arkansas, was constructed to represent the complex hydrogeology of the park and surrounding areas to depths exceeding 9,000 feet below ground surface. The framework, composed of 6 rock formations and 1 vertical fault emplaced beneath the thermal springs, was discretized into 19 layers, 429 rows, and 576 columns and incorporated into a 3-dimensional steady-state groundwater-flow model constructed in MODFLOW-2005. Historical daily mean thermal spring flows were simulated for one stress period of approximately 34 years (1980–2014), chosen to represent the period of record for historical climate data used in the quantification of the boundary conditions. The groundwater-flow model was manually calibrated to historical daily mean thermal spring flows of 88,000 cubic feet per day observed over a 12-year period of record (1990–1995 and 1998–2005) at the thermal springs collection system. Calibration was achieved by calculating starting heads and general head boundary conditions from the Bernoulli equation and then adjusting the horizontal and vertical hydraulic conductivities of the rock formations and vertical fault and the hydraulic conductance of head-dependent flux boundaries. The groundwater-flow model was coupled to a surface-water model developed in the Precipitation-Runoff Modeling System (PRMS) by using PRMS-simulated gravity drainage as a specified flux recharge boundary condition in the groundwater-flow model. Together, the coupled models were used to (1) locate the areas of groundwater recharge to the thermal springs in the discretized hydrogeologic framework by using forward and reverse particle-tracking capabilities of MODPATH, (2) simulate the effects of variable recharge rates on the spring flows at the thermal springs, and (3) assess possible effects of climate and land-use change on the long-term variability of spring flows at the thermal springs.

Forward and backward particle-tracking maps indicated that the most prevalent areas of recharge in the discretized hydrogeologic framework used in this study were within about 0.6–0.9 mile of the thermal springs. Forward particle tracking indicated a recharge area southwest of the thermal springs that corresponded to a location where the predominant lithologies are the Arkansas Novaculite, Hot Springs Sandstone, and Bigfork Chert. Backward particle tracking indicated a second localized area of recharge to the northeast of the thermal springs that corresponded to a location where the dominant lithology is the Bigfork Chert. The groundwater-flow model indicated that the most probable recharge formations are the Arkansas Novaculite, Bigfork Chert, and Hot Springs Sandstone.

The simulated effects of climate and land-use changes on the variability of the spring-flow rates at the thermal springs generally resulted in reductions of thermal spring flow attributed to urban development and more extreme climates characterized by elevated mean surface air temperatures. The groundwater-flow model predicted a linear relation between the thermal spring discharge and the cumulative recharge volume applied to the hydrogeologic framework, and the positive slope of the predicted relation between recharge and simulated thermal spring flow indicates that more extreme precipitation events that supply more recharge may in fact increase the thermal spring-flow rates.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215045","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Hart, R.M., Ikard, S.J., Hays, P.D., and Clark, B.R., 2021, Effects of climate and land-use change on thermal springs recharge—A system-based coupled surface-water and groundwater-flow model for Hot Springs National Park, Arkansas: U.S. Geological Survey Scientific Investigations Report 2021–5045, 38 p., https://doi.org/10.3133/sir20215045.","productDescription":"Report: viii, 38 p.; Data Release","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-091576","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"links":[{"id":386401,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5045/coverthb.jpg"},{"id":386402,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5045/sir20215045.pdf","text":"Report","size":"43.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5045"},{"id":386403,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SBJVVL","text":"USGS data release","linkHelpText":"Model inputs and outputs for simulating and predicting the effects of climate and land-use changes on thermal springs recharge—A system-based coupled surface-water and groundwater-flow model for Hot Springs National Park, Arkansas"},{"id":386404,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5045/images"}],"country":"United States","state":"Arkansas","otherGeospatial":"Hot Springs National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.1475830078125,\n 34.487881874939866\n ],\n [\n -92.96012878417969,\n 34.487881874939866\n ],\n [\n -92.96012878417969,\n 34.57273337081573\n ],\n [\n -93.1475830078125,\n 34.57273337081573\n ],\n [\n -93.1475830078125,\n 34.487881874939866\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-14","noUsgsAuthors":false,"publicationDate":"2021-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ikard, Scott J. 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":207285,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":817374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":817376,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221793,"text":"70221793 - 2021 - Identifying metabolic alterations associated with coral growth anomalies using 1H NMR metabolomics","interactions":[],"lastModifiedDate":"2021-08-03T16:32:38.248531","indexId":"70221793","displayToPublicDate":"2021-06-12T19:37:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Identifying metabolic alterations associated with coral growth anomalies using 1H NMR metabolomics","title":"Identifying metabolic alterations associated with coral growth anomalies using 1H NMR metabolomics","docAbstract":"

Coral growth anomalies (GAs) are tumor-like protrusions that are detrimental to coral health, affecting both the coral skeleton and soft tissues. These lesions are increasingly found throughout the tropics and are commonly associated with high human population density, yet little is known about the molecular pathology of the disease. Here, we investigate the metabolic impacts of GAs through 1H nuclear magnetic resonance (NMR) metabolomics in Porites compressa tissues from a site of high disease prevalence (Coconut Island, Hawaii). We putatively identified 18 metabolites (8.1% of total annotated features) through complementary 1H and 1H–13C heteronuclear single quantum correlation NMR data that increase confidence in pathway analyses and may bolster future coral metabolite annotation efforts. Extract yield was elevated in both GA and unaffected (normal tissue from a diseased colony) compared to reference (normal tissue from GA-free colony) samples, potentially indicating elevated metabolic activity in GA-impacted colonies. Relatively high variation in metabolomic profiles among coral samples of the same treatment (i.e., inter-colony variation) confounded data interpretation, however, analyses of paired GA and unaffected samples identified 73 features that differed between these respective metabolome types. These features were largely annotated as unknowns, but 1-methylnicotinamide and trigonelline were found to be elevated in GA samples, while betaine, glycine, and histamine were lower in GA samples. Pathway analyses indicate decreased choline oxidation in GA samples, making this a pathway of interest for future targeted studies. Collectively, our results provide unique insights into GA pathophysiology by showing these lesions alter both the absolute and relative metabolism of affected colonies and by identifying features (metabolites and unknowns) and metabolic pathways of interest in GA pathophysiology going forward.

","language":"English","publisher":"Springer","doi":"10.1007/s00338-021-02125-7","usgsCitation":"Andersson, E.R., Day, R.D., Work, T.M., Anderson, P.E., Woodley, C.M., and Schock, T.B., 2021, Identifying metabolic alterations associated with coral growth anomalies using 1H NMR metabolomics: Coral Reefs, v. 40, p. 1195-1209, https://doi.org/10.1007/s00338-021-02125-7.","productDescription":"15 p.","startPage":"1195","endPage":"1209","ipdsId":"IP-126580","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":467239,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s00338-021-02125-7","text":"External Repository"},{"id":386978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","noUsgsAuthors":false,"publicationDate":"2021-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersson, Erik R.","contributorId":260786,"corporation":false,"usgs":false,"family":"Andersson","given":"Erik","email":"","middleInitial":"R.","affiliations":[{"id":35839,"text":"College of Charleston","active":true,"usgs":false}],"preferred":false,"id":818739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Rusty D.","contributorId":260787,"corporation":false,"usgs":false,"family":"Day","given":"Rusty","email":"","middleInitial":"D.","affiliations":[{"id":35839,"text":"College of Charleston","active":true,"usgs":false}],"preferred":false,"id":818740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":818741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Paul E.","contributorId":260788,"corporation":false,"usgs":false,"family":"Anderson","given":"Paul","email":"","middleInitial":"E.","affiliations":[{"id":35839,"text":"College of Charleston","active":true,"usgs":false}],"preferred":false,"id":818742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woodley, Cheryl M.","contributorId":260789,"corporation":false,"usgs":false,"family":"Woodley","given":"Cheryl","email":"","middleInitial":"M.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":818743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schock, Tracey B.","contributorId":260790,"corporation":false,"usgs":false,"family":"Schock","given":"Tracey","email":"","middleInitial":"B.","affiliations":[{"id":47720,"text":"NIST","active":true,"usgs":false}],"preferred":false,"id":818744,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223769,"text":"70223769 - 2021 - Response of fish assemblages to restoration of rapids habitat in a Great Lakes connecting channel","interactions":[],"lastModifiedDate":"2021-09-07T16:05:33.360728","indexId":"70223769","displayToPublicDate":"2021-06-12T11:00:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Response of fish assemblages to restoration of rapids habitat in a Great Lakes connecting channel","docAbstract":"

Rapids habitats are critical spawning and nursery grounds for multiple Laurentian Great Lakes fishes of ecological importance such as lake sturgeon, walleye, and salmonids. However, river modifications have destroyed important rapids habitat in connecting channels by modifying flow profiles and removing large quantities of cobble and gravel that are preferred spawning substrates of several fish species. The conversion of rapids habitat to slow moving waters has altered fish assemblages and decreased the spawning success of lithophilic species. The St. Marys River is a Great Lakes connecting channel in which the majority of rapids habitat has been lost. However, rapids habitat was restored at the Little Rapids in 2016 to recover important spawning habitat in this river. During the restoration, flow and substrate were recovered to rapids habitat. We sampled the fish community (pre- and post-restoration), focusing on age-0 fishes in order to characterize the response of the fish assemblage to the restoration, particularly for species of importance (e.g. lake whitefish, walleye, Atlantic salmon). Following restoration, we observed a 40% increase in age-0 fish catch per unit effort, increased presence of rare species, and a shift in assemblage structure of age-0 fishes (higher relative abundance of Salmonidae, Cottidae, and Gasterosteidae). We also observed a “transition” period in 2017, in which the assemblage was markedly different from the pre- and post-restoration assemblages and was dominated by Catostomidae. Responses from target species were mixed, with increased Atlantic salmon abundance, first documented presence of walleye and no presence of lake sturgeon or Coregoninae.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.05.009","usgsCitation":"Molina-Moctezuma, A., Godby, N., Kapuscinski, K., Roseman, E., Skubik, K., and Moerke, A., 2021, Response of fish assemblages to restoration of rapids habitat in a Great Lakes connecting channel: Journal of Great Lakes Research, v. 47, no. 4, p. 1182-1191, https://doi.org/10.1016/j.jglr.2021.05.009.","productDescription":"10 p.","startPage":"1182","endPage":"1191","ipdsId":"IP-126170","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":451907,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.05.009","text":"Publisher Index Page"},{"id":388884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.37362670898438,\n 46.150345757336574\n ],\n [\n -83.9190673828125,\n 46.150345757336574\n ],\n [\n -83.9190673828125,\n 46.538082005463075\n ],\n [\n -84.37362670898438,\n 46.538082005463075\n ],\n [\n -84.37362670898438,\n 46.150345757336574\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Molina-Moctezuma, A.","contributorId":247565,"corporation":false,"usgs":false,"family":"Molina-Moctezuma","given":"A.","affiliations":[{"id":49581,"text":"Lake Superior State Univ.","active":true,"usgs":false}],"preferred":false,"id":822595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godby, N.","contributorId":265347,"corporation":false,"usgs":false,"family":"Godby","given":"N.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":822596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kapuscinski, K.","contributorId":247567,"corporation":false,"usgs":false,"family":"Kapuscinski","given":"K.","email":"","affiliations":[{"id":49581,"text":"Lake Superior State Univ.","active":true,"usgs":false}],"preferred":false,"id":822597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":822598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skubik, K.","contributorId":265348,"corporation":false,"usgs":false,"family":"Skubik","given":"K.","email":"","affiliations":[{"id":49581,"text":"Lake Superior State Univ.","active":true,"usgs":false}],"preferred":false,"id":822599,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moerke, A.","contributorId":247569,"corporation":false,"usgs":false,"family":"Moerke","given":"A.","affiliations":[{"id":49581,"text":"Lake Superior State Univ.","active":true,"usgs":false}],"preferred":false,"id":822600,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70222099,"text":"70222099 - 2021 - Integrating thermal infrared stream temperature imagery and spatial stream network models to understand natural spatial thermal variability in streams","interactions":[],"lastModifiedDate":"2021-07-20T12:18:00.475837","indexId":"70222099","displayToPublicDate":"2021-06-12T07:15:25","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2476,"text":"Journal of Thermal Biology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating thermal infrared stream temperature imagery and spatial stream network models to understand natural spatial thermal variability in streams","docAbstract":"

Under a warmer future climate, thermal refuges could facilitate the persistence of species relying on cold-water habitat. Often these refuges are small and easily missed or smoothed out by averaging in models. Thermal infrared (TIR) imagery can provide empirical water surface temperatures that capture these features at a high spatial resolution (<1 m) and over tens of kilometers. Our study examined how TIR data could be used along with spatial stream network (SSN) models to characterize thermal regimes spatially in the Middle Fork John Day (MFJD) River mainstem (Oregon, USA). We characterized thermal variation in seven TIR longitudinal temperature profiles along the MFJD mainstem and compared them with SSN model predictions of stream temperature (for the same time periods as the TIR profiles). TIR profiles identified reaches of the MFJD mainstem with consistently cooler temperatures across years that were not consistently captured by the SSN prediction models. SSN predictions along the mainstem identified ~80% of the 1-km reach scale temperature warming or cooling trends observed in the TIR profiles. We assessed whether landscape features (e.g., tributary junctions, valley confinement, geomorphic reach classifications) could explain the fine-scale thermal heterogeneity in the TIR profiles (after accounting for the reach-scale temperature variability predicted by the SSN model) by fitting SSN models using the TIR profile observation points. Only the distance to the nearest upstream tributary was identified as a statistically significant landscape feature for explaining some of the thermal variability in the TIR profile data. When combined, TIR data and SSN models provide a data-rich evaluation of stream temperature captured in TIR imagery and a spatially extensive prediction of the network thermal diversity from the outlet to the headwaters.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtherbio.2021.103028","usgsCitation":"Fuller, M.R., Ebersole, J.L., Detenbeck, N., Labisoa, R., Leinenbach, P., and Torgersen, C.E., 2021, Integrating thermal infrared stream temperature imagery and spatial stream network models to understand natural spatial thermal variability in streams: Journal of Thermal Biology, v. 100, 103028, 19 p., https://doi.org/10.1016/j.jtherbio.2021.103028.","productDescription":"103028, 19 p.","ipdsId":"IP-128957","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":436314,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UQBZ2X","text":"USGS data release","linkHelpText":"Airborne thermal infrared remote sensing of summer water temperature in the Middle Fork John Day River (Oregon) in 1994-2003"},{"id":387293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Middle Fork John Day River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.311279296875,\n 43.739352079154706\n ],\n [\n -117.71850585937501,\n 43.739352079154706\n ],\n [\n -117.71850585937501,\n 44.98034238084973\n ],\n [\n -120.311279296875,\n 44.98034238084973\n ],\n [\n -120.311279296875,\n 43.739352079154706\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"100","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fuller, Matthew R.","contributorId":213261,"corporation":false,"usgs":false,"family":"Fuller","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":819513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":819514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Detenbeck, Naomi","contributorId":261219,"corporation":false,"usgs":false,"family":"Detenbeck","given":"Naomi","email":"","affiliations":[{"id":39312,"text":"U.S. EPA","active":true,"usgs":false}],"preferred":false,"id":819515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labisoa, Rochelle","contributorId":261221,"corporation":false,"usgs":false,"family":"Labisoa","given":"Rochelle","email":"","affiliations":[{"id":39312,"text":"U.S. EPA","active":true,"usgs":false}],"preferred":false,"id":819516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leinenbach, P.T.","contributorId":217976,"corporation":false,"usgs":false,"family":"Leinenbach","given":"P.T.","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":819517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":819518,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70222090,"text":"70222090 - 2021 - Recency of faulting and subsurface architecture of the San Diego Bay pull-apart basin, California, USA","interactions":[],"lastModifiedDate":"2021-07-19T23:18:37.411565","indexId":"70222090","displayToPublicDate":"2021-06-11T18:12:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Recency of faulting and subsurface architecture of the San Diego Bay pull-apart basin, California, USA","docAbstract":"In southern California, plate boundary motion between the North American and Pacific plates is distributed across several sub-parallel fault systems. The offshore faults of the California Continental Borderland (CCB) are thought to accommodate ~10-15% of the total plate boundary motion, but the exact distribution of slip and the mechanics of slip partitioning remain uncertain. The Newport-Inglewood-Rose Canyon fault is the easternmost fault within the CCB whose southern segment splays out into a complex network of faults beneath San Diego Bay. A pull-apart basin model between the Rose Canyon and the offshore Descanso fault has been used to explain prominent fault orientations and subsidence beneath San Diego Bay; however this model does not account for faults in the southern portion of the bay or faulting east of the bay. To investigate the characteristics of faulting and stratigraphic architecture beneath San Diego Bay, we combined a suite of reprocessed legacy airgun multi-channel seismic profiles and high-resolution Chirp data, with age and lithology controls from geotechnical boreholes and shallow sub-surface vibracores. This combined dataset is used to create gridded horizon surfaces, fault maps, and perform a kinematic fault analysis. The structure beneath San Diego Bay is dominated by down-to-the-east motion on normal faults that can be separated into two distinct groups. The strikes of these two fault groups can be explained with a double pull-apart basin model for San Diego Bay. In our conceptual model, the western portion of San Diego Bay is controlled by a right-step between the Rose Canyon and Descanso faults, which matches both observations and predictions from laboratory models. The eastern portion of San Diego Bay appears to be controlled by an inferred step-over between the Rose Canyon and San Miguel-Vallecitos faults and displays distinct fault strike orientations, which kinematic analysis indicates should have a significant component of strike-slip partitioning that is not detectable in the seismic data. The potential of a Rose Canyon-San Miguel-Vallecitos fault connection would effectively cut the stepover distance in half and have important implications for the seismic hazard of the San Diego-Tijuana metropolitan area (population ~3 million people).","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2021.641346","usgsCitation":"Singleton, D.M., Maloney, J.M., Brothers, D.S., Klotsko, S., Driscoll, N., and Rockwell, T.K., 2021, Recency of faulting and subsurface architecture of the San Diego Bay pull-apart basin, California, USA: Frontiers in Earth Science, v. 9, 641346, 25 p., https://doi.org/10.3389/feart.2021.641346.","productDescription":"641346, 25 p.","ipdsId":"IP-125700","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451910,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2021.641346","text":"Publisher Index Page"},{"id":436315,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93Z2LYJ","text":"USGS data release","linkHelpText":"Reprocessed multichannel seismic-reflection (MCS) data from USGS field activity T-1-96-SC collected in San Diego Bay, California in 1996"},{"id":387256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Diego Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.34771728515625,\n 32.602361666817515\n ],\n [\n -117.037353515625,\n 32.602361666817515\n ],\n [\n -117.037353515625,\n 32.858825196463854\n ],\n [\n -117.34771728515625,\n 32.858825196463854\n ],\n [\n -117.34771728515625,\n 32.602361666817515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Singleton, Drake Moore 0000-0001-5346-0623","orcid":"https://orcid.org/0000-0001-5346-0623","contributorId":261207,"corporation":false,"usgs":true,"family":"Singleton","given":"Drake","email":"","middleInitial":"Moore","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":819471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Jillian M. 0000-0001-8223-4676","orcid":"https://orcid.org/0000-0001-8223-4676","contributorId":261208,"corporation":false,"usgs":false,"family":"Maloney","given":"Jillian","email":"","middleInitial":"M.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":819472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":819473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klotsko, Shannon","contributorId":261209,"corporation":false,"usgs":false,"family":"Klotsko","given":"Shannon","affiliations":[{"id":52774,"text":"University of North Carolina - Wilmington","active":true,"usgs":false}],"preferred":false,"id":819474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Driscoll, Neal W.","contributorId":261210,"corporation":false,"usgs":false,"family":"Driscoll","given":"Neal W.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":819475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rockwell, Thomas K.","contributorId":53290,"corporation":false,"usgs":true,"family":"Rockwell","given":"Thomas","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":819476,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221913,"text":"70221913 - 2021 - Magnetotelluric sampling and geoelectric hazard estimation: Are national-scale surveys sufficient?","interactions":[],"lastModifiedDate":"2021-07-14T17:04:37.733359","indexId":"70221913","displayToPublicDate":"2021-06-11T11:59:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8968,"text":"AGU Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Magnetotelluric sampling and geoelectric hazard estimation: Are national-scale surveys sufficient?","docAbstract":"

At present, the most reliable information for inferring storm-time ground electric fields along electrical transmission lines comes from coarsely sampled, national-scale magnetotelluric (MT) data sets, such as that provided by the EarthScope USArray program. An underlying assumption in the use of such data is that they adequately sample the spatial heterogeneity of the surface relationship between geomagnetic and geoelectric fields. Here, we assess the degree to which the density of MT data sampling affects geoelectric hazard assessments. For electrical transmission networks in each of four focus regions across the contiguous United States, we perform two parallel band-limited (101–103 s) hazard analyses: one using only USArray-style (∼70-km station spacing) MT data, and one incorporating denser (≪70-km station spacing) MT data. We find that the use of USArray-style MT sampling alone provides a useful first-order estimate of integrated geoelectric fields along electrical transmission lines. However, we also find that the use of higher density MT data can in some areas lead to order-of-magnitude differences in line-averaged electric field estimates at the level of individual transmission lines and can also yield significant differences in subregional hazard patterns. As we demonstrate using variogram plots, these differences reflect short-spatial-scale variability in Earth conductivity, which in turn reflects regional lithotectonic structure and history. We also provide a cautionary example in the use of electrical conductivity models to predict dense MT data; although valuable for hazard applications, models may only be able to reproduce surface geoelectric fields as captured by the MT data from which they were derived.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020SW002693","usgsCitation":"Murphy, B.S., Lucas, G., Love, J.J., Kelbert, A., Bedrosian, P.A., and Rigler, E.J., 2021, Magnetotelluric sampling and geoelectric hazard estimation: Are national-scale surveys sufficient?: AGU Space Weather, v. 19, no. 7, e2020SW002693, 24 p., https://doi.org/10.1029/2020SW002693.","productDescription":"e2020SW002693, 24 p.","ipdsId":"IP-128631","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":488915,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020sw002693","text":"Publisher Index Page"},{"id":387180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.33203124999997,\n 39.70718665682654\n ],\n [\n -120.93749999999997,\n 39.70718665682654\n ],\n [\n -120.93749999999997,\n 46.37725420510028\n ],\n [\n -125.33203124999997,\n 46.37725420510028\n ],\n [\n -125.33203124999997,\n 39.70718665682654\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.140625,\n 37.23032838760387\n ],\n [\n -94.921875,\n 37.23032838760387\n ],\n [\n -94.921875,\n 41.64007838467894\n ],\n [\n -99.140625,\n 41.64007838467894\n ],\n [\n -99.140625,\n 37.23032838760387\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.833984375,\n 33.211116472416855\n ],\n [\n -86.748046875,\n 33.211116472416855\n ],\n [\n -86.748046875,\n 38.75408327579141\n ],\n [\n -94.833984375,\n 38.75408327579141\n ],\n [\n -94.833984375,\n 33.211116472416855\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.240234375,\n 44.276671273775186\n ],\n [\n -83.671875,\n 44.276671273775186\n ],\n [\n -83.671875,\n 49.03786794532644\n ],\n [\n -96.240234375,\n 49.03786794532644\n ],\n [\n -96.240234375,\n 44.276671273775186\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Benjamin Scott 0000-0001-7636-3711","orcid":"https://orcid.org/0000-0001-7636-3711","contributorId":242928,"corporation":false,"usgs":true,"family":"Murphy","given":"Benjamin","email":"","middleInitial":"Scott","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":819286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Greg M. 0000-0003-1331-1863","orcid":"https://orcid.org/0000-0003-1331-1863","contributorId":223556,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg M.","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":819287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":819288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":819289,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":819290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":819291,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226924,"text":"70226924 - 2021 - Nuclear magnetic resonanance logs of fractured bedrock at the Hidden Lane Landfill site, Culpeper Basin, Virginia","interactions":[],"lastModifiedDate":"2022-01-20T17:29:54.637486","indexId":"70226924","displayToPublicDate":"2021-06-11T11:19:46","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Nuclear magnetic resonanance logs of fractured bedrock at the Hidden Lane Landfill site, Culpeper Basin, Virginia","docAbstract":"

In May 2018, the U.S. Geological Survey (USGS) in cooperation with the U.S. Environmental Protection Agency (EPA) collected borehole nuclear magnetic resonance (bNMR) logs in three boreholes completed in sandstone and siltstone of the Balls Bluff Member of the Bull Run Formation at a Superfund Site in Culpeper Basin, Virginia. The bNMR logs were used to aid in the evaluation of the aquifer by measuring the porosity, determining the mobile and immobile fractions of water, and estimating the hydraulic conductivity, to evaluate the potential storage and transport properties at the site. The bNMR method measures the transverse (T2) decay in nuclear magnetism in response to radio-frequency pulses. The relaxation decay is related to water content and the size of the pores where the water resides. In addition, the relaxation decay parameters are used to estimate hydraulic conductivity. The results were compared to other borehole logs collected at the site and to regional groundwater investigations in similar rock formations.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/sageep.33-029","usgsCitation":"Johnson, C., Phillips, S.N., Day-Lewis, F.D., Tiedeman, C.R., Rundell, B., and Gilbert, E., 2021, Nuclear magnetic resonanance logs of fractured bedrock at the Hidden Lane Landfill site, Culpeper Basin, Virginia, in Symposium on the application of geophysics to engineering and environmental problems proceedings, p. 63-68, https://doi.org/10.4133/sageep.33-029.","productDescription":"6 p.","startPage":"63","endPage":"68","ipdsId":"IP-125623","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":394594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","city":"Culpeper","otherGeospatial":"Hidden Lane Landfill site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.5169563293457,\n 38.783126804001704\n ],\n [\n -77.44245529174805,\n 38.783126804001704\n ],\n [\n -77.44245529174805,\n 38.81630492781235\n ],\n [\n -77.5169563293457,\n 38.81630492781235\n ],\n [\n -77.5169563293457,\n 38.783126804001704\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2021-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Carole D. 0000-0001-6941-1578","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":245365,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":828802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Stephanie N. 0000-0002-2022-7726","orcid":"https://orcid.org/0000-0002-2022-7726","contributorId":214857,"corporation":false,"usgs":true,"family":"Phillips","given":"Stephanie","email":"","middleInitial":"N.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":828803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":828804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":828805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rundell, Bruce","contributorId":270239,"corporation":false,"usgs":false,"family":"Rundell","given":"Bruce","email":"","affiliations":[{"id":56119,"text":"U.S. Environmental Protection Agency, Philadelphia, PA","active":true,"usgs":false}],"preferred":false,"id":828806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gilbert, Edward","contributorId":270240,"corporation":false,"usgs":false,"family":"Gilbert","given":"Edward","email":"","affiliations":[{"id":56120,"text":"U.S. Environmental Protection Agency, Washington, D.C.","active":true,"usgs":false}],"preferred":false,"id":828807,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221874,"text":"70221874 - 2021 - Experimental warming differentially affects vegetative and reproductive phenology of tundra plants","interactions":[],"lastModifiedDate":"2021-07-13T10:13:24.993767","indexId":"70221874","displayToPublicDate":"2021-06-11T09:55:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Experimental warming differentially affects vegetative and reproductive phenology of tundra plants","docAbstract":"

Rapid climate warming is altering Arctic and alpine tundra ecosystem structure and function, including shifts in plant phenology. While the advancement of green up and flowering are well-documented, it remains unclear whether all phenophases, particularly those later in the season, will shift in unison or respond divergently to warming. Here, we present the largest synthesis to our knowledge of experimental warming effects on tundra plant phenology from the International Tundra Experiment. We examine the effect of warming on a suite of season-wide plant phenophases. Results challenge the expectation that all phenophases will advance in unison to warming. Instead, we find that experimental warming caused: (1) larger phenological shifts in reproductive versus vegetative phenophases and (2) advanced reproductive phenophases and green up but delayed leaf senescence which translated to a lengthening of the growing season by approximately 3%. Patterns were consistent across sites, plant species and over time. The advancement of reproductive seasons and lengthening of growing seasons may have significant consequences for trophic interactions and ecosystem function across the tundra.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-021-23841-2","usgsCitation":"Collins, C.G., Elmendorf, S.C., Hollister, R.D., Henry, G., Clark, K., Bjorkman, A., Myers-Smith, I.H., Prevey, J.S., Ashton, I., Assmann, J.J., Alatalo, J., Carbognani, M., Chisholm, C., Cooper, E.J., , C., Jonsdottir, I.S., Klanderud, K., Kopp, C., Livensperger, C., Mauritz, M., May, J., Molau, U., Oberbaeur, S.F., Ogburn, E., Panchen, Z., Petraglia, A., Post, E., Rixen, C., Rodenhizer, H., Schuur, T., Semenchuk, P., Smith, J.G., Steltzer, H., Totland, Ø., Walker, M., Welker, J., and Suding, K.N., 2021, Experimental warming differentially affects vegetative and reproductive phenology of tundra plants: Nature Communications, v. 12, 3442, 12 p., https://doi.org/10.1038/s41467-021-23841-2.","productDescription":"3442, 12 p.","ipdsId":"IP-124079","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451918,"rank":0,"type":{"id":40,"text":"Open 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The PLUM (Propagation of Local Undamped Motion) earthquake early warning (EEW) algorithm differs from typical source-based EEW algorithms as it predicts shaking directly from observed shaking without first deriving earthquake source information (e.g., magnitude and epicenter). Here, we determine optimal PLUM event detection thresholds for U.S. West Coast earthquakes using two data sets: 558 M3.5+ earthquakes (California, Oregon, Washington; 2012–2017) and the ShakeAlert test suite of historic and problematic signals (1999–2015). PLUM computes Modified Mercalli Intensity (IMMI) using velocity and acceleration data, leveraging co-located sensors to avoid problematic signals. An event detection is issued when the observed IMMI exceeds a given threshold(s). We find a two-station detection method using IMMI trigger thresholds of 4.0 and 3.0 for the first and second stations, respectively, is optimal for detecting M4.5+ earthquakes. PLUM detected 79 events in the 2012–2017 data set, reporting (not including telemetry or alert dissemination) detection times on par, and sometimes faster than current EEW methods (mean 8 s; median 6 s). As expected, detection times were slower for the older 1999–2015 earthquakes (N = 21; mean 11 s; median 6 s) when station coverage was sparser. Of the 31 PLUM detected M5+ events (10 2012–2017; 21 1999–2015), theoretically 20 (∼65%) could provide timely warnings. PLUM issued no false detections and avoided issuing detections for all calibration/anomalous signals, regional and teleseismic events. We conclude PLUM can successfully identify IMMI 4+ shaking from local earthquakes and could complement and enhance EEW in the U.S.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB021053","usgsCitation":"Kilb, D., Bunn, J.J., Saunders, J.K., Cochran, E.S., Minson, S.E., Baltay Sundstrom, A.S., O’Rourke, C.T., Hoshiba, M., and Kodera, Y., 2021, The PLUM earthquake early warning algorithm: A retrospective case study of West Coast, USA, data: JGR Solid Earth, v. 126, no. 7, e2020JB021053, 25 p., https://doi.org/10.1029/2020JB021053.","productDescription":"e2020JB021053, 25 p.","ipdsId":"IP-127285","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487640,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020jb021053","text":"Publisher Index Page"},{"id":481971,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","geographicExtents":"{\n 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sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Rourke, Colin T 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Waterdogs (Necturus beyeri) along Bayou Lacombe, Saint Tammany Parish, Louisiana","interactions":[],"lastModifiedDate":"2023-06-09T14:10:31.349995","indexId":"70223335","displayToPublicDate":"2021-06-11T08:18:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Abundance of Gulf Coast Waterdogs (Necturus beyeri) along Bayou Lacombe, Saint Tammany Parish, Louisiana","docAbstract":"

Few ecological studies have been conducted on Gulf Coast Waterdogs (Necturus beyeri), and published studies have focused on relatively small stream sections of 125 m to 1.75 km. In 2015, we sampled 25 sites along a 13.4-km stretch of Bayou Lacombe (Saint Tammany Parish, Louisiana, USA) to better understand factors that may influence the distribution of Gulf Coast Waterdogs within streams. We checked 250 unbaited traps once per week for 3 weeks, capturing 170 Gulf Coast Waterdogs at 18 of 25 sites. We used hierarchical models of abundance to estimate abundance at each site, as a function of site covariates including pH, turbidity, and distance from headwaters. The abundance of Gulf Coast Waterdogs within Bayou Lacombe was highest toward the center of the sampled stream segment, but we found no evidence that pH or turbidity affected abundance within our study area. Site-level abundance estimates of Gulf Coast Waterdogs ranged from 0 to 82, and we estimated there were 767 (95% Bayesian credible interval [CRI]: 266–983) Gulf Coast Waterdogs summed across all 25 sampling sites. We derived an estimate of 6,321 (95% CRI: 2,139–15,922) Gulf Coast Waterdogs for the entire 13.4-km stream section, which includes our 25 sites and the adjoining stream reaches between sites. Our results suggest that Gulf Coast Waterdogs may be uncommon or absent in the headwaters, possibly because of shallow water and swift currents with limited preferred habitats. Gulf Coast Waterdogs favor the middle stream reaches with adequate depth and abundant preferred microhabitats.

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J.","contributorId":172438,"corporation":false,"usgs":false,"family":"Muse","given":"Lindy","email":"","middleInitial":"J.","affiliations":[{"id":27041,"text":"Cherokee at USGS-WARC Lafayette","active":true,"usgs":false}],"preferred":false,"id":821798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godfrey, Sidney T","contributorId":222188,"corporation":false,"usgs":false,"family":"Godfrey","given":"Sidney T","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":821799,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223351,"text":"70223351 - 2021 - Population estimates and trends of three Maui Island-endemic Hawaiian Honeycreepers","interactions":[],"lastModifiedDate":"2021-08-24T12:51:04.010857","indexId":"70223351","displayToPublicDate":"2021-06-11T07:48:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Population estimates and trends of three Maui Island-endemic Hawaiian Honeycreepers","docAbstract":"

Population monitoring is critical for informing the management and conservation of rare Hawaiian forest birds. In 2017, we used point-transect distance sampling methods to estimate population densities of birds on Haleakalā Volcano on east Maui island. We estimated the populations and ranges of three island-endemic Hawaiian honeycreepers, including the endangered ‘Ākohekohe (Palmeria dolei), the endangered Kiwikiu (Maui Parrotbill; Pseudonestor xanthophrys), and the Maui ʻAlauahio (Paroreomyza montana newtoni). We examined population trends back to 1980, and our 2017 density estimates were the lowest ever recorded for each species. Most concerning was the status of Kiwikiu, with a 71% decline in population since 2001 to a current population of 157 (95% CI 44–312) birds. The population of ‘Ākohekohe similarly decreased by 78% to a current population of 1768 (1193–2411) birds. For both species, population declines were due to declines in density and contraction of ranges from lower elevations. Both species are now restricted to ranges of less than 3000 ha. We surveyed ~ 91% of the range of Maui ‘Alauahio and estimated a population of 99,060 (88,502–106,954) birds, a 41% decrease since the highest estimate in 1992. Contraction of ranges to higher elevations is consistent with evidence that the impacts of avian malaria are being exacerbated by global warming trends. Our results indicate that the landscape control of either avian malaria transmission or its vector (Culex mosquitoes) will be a pre-requisite to preventing the extinction of endemic forest birds in Hawaii.

","language":"English","publisher":"Wiley","doi":"10.1111/jofo.12364","usgsCitation":"Judge, S., Warren, C.C., Camp, R.J., Berthold, L.K., Mounce, H., Hart, P.J., and Monello, R.J., 2021, Population estimates and trends of three Maui Island-endemic Hawaiian Honeycreepers: Journal of Field Ornithology, v. 92, no. 2, p. 115-126, https://doi.org/10.1111/jofo.12364.","productDescription":"12 p.","startPage":"115","endPage":"126","ipdsId":"IP-124720","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":451922,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jofo.12364","text":"Publisher Index Page"},{"id":388410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.42333984375,\n 18.823116948090494\n ],\n [\n -154.51171875,\n 18.823116948090494\n ],\n [\n -154.51171875,\n 20.447602397594167\n ],\n [\n -156.42333984375,\n 20.447602397594167\n ],\n [\n -156.42333984375,\n 18.823116948090494\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"92","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":821823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Christopher C","contributorId":264665,"corporation":false,"usgs":false,"family":"Warren","given":"Christopher","email":"","middleInitial":"C","affiliations":[{"id":54533,"text":"Maui Forest Bird Recovery Project, Pacific Cooperative Studies Unit, University of Hawai‘i at Manoa","active":true,"usgs":false}],"preferred":false,"id":821824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":821825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berthold, Laura K","contributorId":264666,"corporation":false,"usgs":false,"family":"Berthold","given":"Laura","email":"","middleInitial":"K","affiliations":[{"id":54533,"text":"Maui Forest Bird Recovery Project, Pacific Cooperative Studies Unit, University of Hawai‘i at Manoa","active":true,"usgs":false}],"preferred":false,"id":821826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mounce, Hanna L.","contributorId":253154,"corporation":false,"usgs":false,"family":"Mounce","given":"Hanna L.","affiliations":[{"id":13352,"text":"Maui Forest Bird Recovery Project","active":true,"usgs":false}],"preferred":false,"id":821827,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":821828,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monello, Ryan J.","contributorId":184143,"corporation":false,"usgs":false,"family":"Monello","given":"Ryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":821829,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223726,"text":"70223726 - 2021 - A review of sand detachment in modern deep marine environments: Analogues for upslope stratigraphic traps","interactions":[],"lastModifiedDate":"2021-09-07T13:18:34.511432","indexId":"70223726","displayToPublicDate":"2021-06-11T07:47:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"A review of sand detachment in modern deep marine environments: Analogues for upslope stratigraphic traps","docAbstract":"

Isolated, detached sands provide opportunities for large-volume stratigraphic traps in many deepwater petroleum systems. Here we provide a review of the different types of sandbody detachments based on published data from the modern-day seafloor and recent (generally Quaternary-present), shallow-buried strata. Detachment mechanisms can be classified based on their timing of formation relative to deposition of the detached sandbody as well as their process of formation. Syndepositional detachment mechanisms include flow transformation associated with slope failure (Class 1), turbidity current erosion (Class 2), and contourite deposition (Class 3). Post-depositional detachment is related to subsequent erosive processes and truncation of the pre-existing sandbody, either by submarine channels (Class 4), mass-transport events (Class 5), post-depositional sliding or faulting (Class 6) or bottom currents (Class 7). Examples of each of these mechanisms are identified on the modern seafloor, and show that detached sandbodies can form at different locations along the continental slope and rise (from upper slope to basin floor), and between or within different architectural elements (i.e., canyon, channels and lobes). This variation in formation style results in detached sands of highly variable sizes (tens to hundreds of kilometres) and geometries across and along the depositional profile, which are dependent upon the erosive and/or depositional processes involved, as well as the seafloor topography of the area in question. Whilst modern seafloor systems may not always represent the final stratigraphic architecture in the subsurface, they provide important insights into the development of detached sandbodies and therefore serve as potential analogues for subsurface stratigraphic traps.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2021.105184","usgsCitation":"Counts, J.W., Amy, L., Georgiopoulou, A., and Haughton, P., 2021, A review of sand detachment in modern deep marine environments: Analogues for upslope stratigraphic traps: Marine and Petroleum Geology, v. 132, 105184, 15 p., https://doi.org/10.1016/j.marpetgeo.2021.105184.","productDescription":"105184, 15 p.","ipdsId":"IP-126445","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":451923,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://cris.brighton.ac.uk/ws/files/30716190/Counts_et_al_2021_MPG_compressed.pdf","text":"External Repository"},{"id":388834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"132","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Counts, John W. 0000-0001-7374-6928","orcid":"https://orcid.org/0000-0001-7374-6928","contributorId":248711,"corporation":false,"usgs":true,"family":"Counts","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":822499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amy, Lawrence","contributorId":265269,"corporation":false,"usgs":false,"family":"Amy","given":"Lawrence","email":"","affiliations":[],"preferred":false,"id":822500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Georgiopoulou, Aggeliki","contributorId":265270,"corporation":false,"usgs":false,"family":"Georgiopoulou","given":"Aggeliki","affiliations":[],"preferred":false,"id":822501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haughton, Peter","contributorId":265271,"corporation":false,"usgs":false,"family":"Haughton","given":"Peter","email":"","affiliations":[],"preferred":false,"id":822502,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221540,"text":"70221540 - 2021 - Identification of Aphanomyces invadans, the cause of epizootic ulcerative syndrome, in smallmouth bass (Micropterus dolomieu) from the Cheat River, West Virginia, USA","interactions":[],"lastModifiedDate":"2021-09-14T16:14:46.156546","indexId":"70221540","displayToPublicDate":"2021-06-11T07:24:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Identification of Aphanomyces invadans, the cause of epizootic ulcerative syndrome, in smallmouth bass (Micropterus dolomieu) from the Cheat River, West Virginia, USA","title":"Identification of Aphanomyces invadans, the cause of epizootic ulcerative syndrome, in smallmouth bass (Micropterus dolomieu) from the Cheat River, West Virginia, USA","docAbstract":"

The oomycete Aphanomyces invadans (Saprolegniales, Oomycetes), the cause of epizootic ulcerative syndrome (EUS), is an OIE (World Organization for Animal Health) reportable pathogen, capable of infecting many fish species worldwide in both freshwater and estuarine environments (Iberahim et al. 2018). Since the discovery of EUS in Japan in 1971 (Egusa and Masuda 1971), it has spread globally and caused substantial fish mortalities and economic losses (Lilley et al. 1998). Cases in the United States have included lesions initially named ulcerative mycosis of Atlantic menhaden Brevoortia tyrannus (Noga et al. 1988) along the Atlantic coast and later confirmed as A. invadans in menhaden from the Chesapeake Bay (Blazer et al. 1999). It has also been reported in several freshwater and estuarine fishes from Florida, including largemouth bass Micropterus salmoides (Sosa et al. 2007) and channel catfish, black bullhead, and bluegill from recreational ponds in Louisiana (Hawke et al. 2003).This communication reports the finding of A. invadans in smallmouth bass Micropterus dolomieu from the Cheat River, West Virginia. During fish health assessments in October 2020, smallmouth bass with grossly observable skin lesions were determined to be infected with A. invadans. We believe this is the first report of A. invadans infection in smallmouth bass and it was not observed during previous health assessments in this region.

","language":"English","publisher":"Wiley","doi":"10.1111/jfd.13468","usgsCitation":"Walsh, H.L., Blazer, V., and Mazik, P.M., 2021, Identification of Aphanomyces invadans, the cause of epizootic ulcerative syndrome, in smallmouth bass (Micropterus dolomieu) from the Cheat River, West Virginia, USA: Journal of Fish Diseases, v. 44, no. 10, p. 1639-1641, https://doi.org/10.1111/jfd.13468.","productDescription":"3 p.","startPage":"1639","endPage":"1641","ipdsId":"IP-129024","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":386645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Cheat River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.16448974609375,\n 39.39587712612034\n ],\n [\n -79.84039306640625,\n 39.39587712612034\n ],\n [\n -79.84039306640625,\n 39.71775084250472\n ],\n [\n -80.16448974609375,\n 39.71775084250472\n ],\n [\n -80.16448974609375,\n 39.39587712612034\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":817997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":818038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":818039,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229492,"text":"70229492 - 2021 - Caution is warranted when using animal space-use and movement to infer behavioral states","interactions":[],"lastModifiedDate":"2022-03-09T12:58:06.746424","indexId":"70229492","displayToPublicDate":"2021-06-11T06:53:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Caution is warranted when using animal space-use and movement to infer behavioral states","docAbstract":"

Background

Identifying the behavioral state for wild animals that can’t be directly observed is of growing interest to the ecological community. Advances in telemetry technology and statistical methodologies allow researchers to use space-use and movement metrics to infer the underlying, latent, behavioral state of an animal without direct observations. For example, researchers studying ungulate ecology have started using these methods to quantify behaviors related to mating strategies. However, little work has been done to determine if assumed behaviors inferred from movement and space-use patterns correspond to actual behaviors of individuals.

Methods

Using a dataset with male and female white-tailed deer location data, we evaluated the ability of these two methods to correctly identify male-female interaction events (MFIEs). We identified MFIEs using the proximity of their locations in space as indicators of when mating could have occurred. We then tested the ability of utilization distributions (UDs) and hidden Markov models (HMMs) rendered with single sex location data to identify these events.

Results

For white-tailed deer, male and female space-use and movement behavior did not vary consistently when with a potential mate. There was no evidence that a probability contour threshold based on UD volume applied to an individual’s UD could be used to identify MFIEs. Additionally, HMMs were unable to identify MFIEs, as single MFIEs were often split across multiple states and the primary state of each MFIE was not consistent across events.

Conclusions

Caution is warranted when interpreting behavioral insights rendered from statistical models applied to location data, particularly when there is no form of validation data. For these models to detect latent behaviors, the individual needs to exhibit a consistently different type of space-use and movement when engaged in the behavior. Unvalidated assumptions about that relationship may lead to incorrect inference about mating strategies or other behaviors.

","language":"English","publisher":"Springer","doi":"10.1186/s40462-021-00264-8","usgsCitation":"Buderman, F.E., Gingery, T.M., Diefenbach, D.R., Gigliotti, L., Begley-Miller, D., McDill, M.E., Wallingford, B., Rosenberry, C., and Drohan, P.J., 2021, Caution is warranted when using animal space-use and movement to infer behavioral states: Movement Ecology, v. 9, 30, 12 p., https://doi.org/10.1186/s40462-021-00264-8.","productDescription":"30, 12 p.","ipdsId":"IP-126195","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":451927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-021-00264-8","text":"Publisher Index Page"},{"id":396898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2021-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Buderman, Frances E.","contributorId":171634,"corporation":false,"usgs":false,"family":"Buderman","given":"Frances","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":837600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gingery, Tess M.","contributorId":204865,"corporation":false,"usgs":false,"family":"Gingery","given":"Tess","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":837601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":837599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gigliotti, Laura C.","contributorId":204828,"corporation":false,"usgs":false,"family":"Gigliotti","given":"Laura C.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":837602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Begley-Miller, Danielle","contributorId":288270,"corporation":false,"usgs":false,"family":"Begley-Miller","given":"Danielle","affiliations":[{"id":54482,"text":"Teatown Lake Reservation","active":true,"usgs":false}],"preferred":false,"id":837603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDill, Marc E.","contributorId":264499,"corporation":false,"usgs":false,"family":"McDill","given":"Marc","email":"","middleInitial":"E.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":837654,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wallingford, Bret D.","contributorId":276207,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret D.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":837604,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosenberry, Christopher S.","contributorId":276209,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":837605,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drohan, Patrick J.","contributorId":190141,"corporation":false,"usgs":false,"family":"Drohan","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":837655,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70221411,"text":"70221411 - 2021 - Diet composition and body condition of polar bears (Ursus maritimus) in relation to sea ice habitat in the Canadian High Arctic","interactions":[],"lastModifiedDate":"2021-06-30T19:05:36.806175","indexId":"70221411","displayToPublicDate":"2021-06-11T06:52:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Diet composition and body condition of polar bears (Ursus maritimus) in relation to sea ice habitat in the Canadian High Arctic","docAbstract":"

Polar bears (Ursus maritimus) rely on sea ice for hunting marine mammal prey. Declining sea ice conditions associated with climate warming have negatively affected polar bears, especially in the southern portion of their range. At higher latitudes, the transition from multi-year ice to thinner annual ice has been hypothesized to increase biological productivity and potentially improve polar bear foraging conditions. To investigate this possibility, we used quantitative fatty acid signature analysis to characterize the diet composition of 148 polar bears in two high-latitude subpopulations from 2012 to 2014: (1) Viscount Melville Sound, where little is known about marine mammal ecology, and (2) Northern Beaufort Sea, a subpopulation considered stable with comparatively more ecological data. We used adipose tissue lipid content as an index of body condition. To characterize long-term habitat conditions, we examined trends in sea ice metrics from 1979 to 2014 in both regions. Although the diets of bears in both subpopulations were dominated by ringed seal (Pusa hispida, mean biomass consumption = 45%), bears in Viscount Melville Sound showed higher proportional consumption of beluga whale (Delphinapterus leucas; mean biomass consumption = 37%) than any other polar bear subpopulation studied to date. Although the three-year duration of our study precludes long-term insights, relatively lighter sea ice conditions in Viscount Melville Sound were associated with reduced consumption of preferred prey (i.e., ringed seal), especially among female polar bears. Further, polar bears in Viscount Melville sound were in poorer body condition than those in the Northern Beaufort Sea. Our results do not indicate that declining sea ice has had any positive effect on polar bear foraging at high-latitudes.

","language":"English","publisher":"Springer","doi":"10.1007/s00300-021-02891-8","usgsCitation":"Florko, K.R., Thiemann, G.W., Bromaghin, J.F., and Richardson, E.S., 2021, Diet composition and body condition of polar bears (Ursus maritimus) in relation to sea ice habitat in the Canadian High Arctic: Polar Biology, v. 44, p. 1445-1456, https://doi.org/10.1007/s00300-021-02891-8.","productDescription":"12 p.","startPage":"1445","endPage":"1456","ipdsId":"IP-105864","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":386489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Canadian High Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -126.03515625,\n 64.39693778132846\n ],\n [\n -105.29296874999999,\n 64.39693778132846\n ],\n [\n -105.29296874999999,\n 72.28906720017675\n ],\n [\n -126.03515625,\n 72.28906720017675\n ],\n [\n -126.03515625,\n 64.39693778132846\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2021-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Florko, Katie R. N.","contributorId":239941,"corporation":false,"usgs":false,"family":"Florko","given":"Katie","email":"","middleInitial":"R. N.","affiliations":[{"id":48064,"text":"Department of Biology, York University","active":true,"usgs":false}],"preferred":false,"id":817622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thiemann, Gregory W.","contributorId":83023,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":27291,"text":"York University, Toronto, ON","active":true,"usgs":false}],"preferred":false,"id":817623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":817624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, Evan S.","contributorId":139901,"corporation":false,"usgs":false,"family":"Richardson","given":"Evan","email":"","middleInitial":"S.","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":817625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}