Rapid ʻŌhiʻa Death (ROD) is a deadly disease that is threatening the native Hawaiian keystone tree species, ʻōhiʻa lehua (Metrosideros polymorpha Gaudich). Ambrosia beetles (Curculionidae: Scolytinae) and their frass are hypothesized to play a major role in the spread of ROD, although their ecological niches and frass production within trees and across the landscape are not well understood. We characterized the beetle communities and associated frass production from bolts (tree stem sections) representative of entire individual ʻōhiʻa trees from multiple locations across Hawaiʻi Island by rearing beetles and testing their frass for viable ROD-causing fungi. Additionally, we estimated frass production for three beetle species by weighing their frass over time. We found that Xyleborinus saxesenii (Ratzburg), Xyleborus affinis Eichhoff, Xyleborus ferrugineus (Fabricius), Xyleborus perforans (Wollaston), and Xyleborus simillimus Perkins were commonly found on ROD-infected ʻōhiʻa and each produced frass containing viable Ceratocystis propagules. The Hawaiʻi Island endemic beetle and the only native ambrosia beetle associated with ʻōhiʻa, X. simillimus, was limited to high elevations and appeared to utilize similar tree heights or niche dimensions as the invasive X. ferrugineus. Viable Ceratocystis propagules expelled in frass were found throughout entire tree bole sections as high as 13 m. Additionally, we found that X. ferrugineus produced over 4× more frass than X. simillimus. Our results indicate the ambrosia beetle community and their frass play an important role in the ROD pathosystem. This information may help with the development and implementation of management strategies to control the spread of the disease.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ee/nvaa108","usgsCitation":"Roy, K., Jaenecke, K., and Peck, R., 2020, Ambrosia beetle (Coleoptera: Curculionidae) communities and frass production in ʻŌhiʻa (Myrtales: Myrtaceae) infected with Ceratocystis (Microascales: Ceratocystidaceae) fungi responsible for Rapid ʻŌhiʻa Death: Environmental Entomology, v. 49, no. 6, p. 1345-1354, https://doi.org/10.1093/ee/nvaa108.","productDescription":"10 p.","startPage":"1345","endPage":"1354","ipdsId":"IP-119817","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":455315,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ee/nvaa108","text":"Publisher Index Page"},{"id":436789,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RJKOO6","text":"USGS data release","linkHelpText":"Hawai'i Island Rapid 'Ohi'a Death Ambrosia Beetle Communities and Frass 2018-2019"},{"id":381607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hawai'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.07177734375,\n 18.8335153964335\n ],\n [\n -154.75341796875,\n 18.8335153964335\n ],\n [\n -154.75341796875,\n 20.46818922264095\n ],\n [\n -156.07177734375,\n 20.46818922264095\n ],\n [\n -156.07177734375,\n 18.8335153964335\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Roy, Kylle 0000-0002-7993-9031","orcid":"https://orcid.org/0000-0002-7993-9031","contributorId":213271,"corporation":false,"usgs":true,"family":"Roy","given":"Kylle","email":"","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":807196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaenecke, Kelly 0000-0002-7124-4788","orcid":"https://orcid.org/0000-0002-7124-4788","contributorId":211063,"corporation":false,"usgs":false,"family":"Jaenecke","given":"Kelly","email":"","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":807197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":807198,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70213246,"text":"ofr20201107 - 2020 - Distribution and abundance of Aquila chrysaetos (golden eagles) in East Contra Costa County Habitat Conservation Plan/Natural Community Conservation Plan area, California","interactions":[],"lastModifiedDate":"2020-09-17T14:06:01.343734","indexId":"ofr20201107","displayToPublicDate":"2020-09-16T06:43:43","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1107","displayTitle":"Distribution and Abundance of Aquila chrysaetos (Golden Eagles) in the East Contra Costa County Habitat Conservation Plan/Natural Community Conservation Plan Area, California","title":"Distribution and abundance of Aquila chrysaetos (golden eagles) in East Contra Costa County Habitat Conservation Plan/Natural Community Conservation Plan area, California","docAbstract":"The East Contra Costa County Habitat Conservation Plan/Natural Community Conservation Plan (HCP/NCCP) Preserve System was designed to protect and enhance ecological diversity and function in eastern Contra Costa County, California. Aquila chrysaetos (golden eagle) is a special-status species expected to benefit from biological goals of the HCP/NCCP. As part of a broader study, we estimated site-occupancy, abundance, and reproduction of golden eagles in the HCP/NCCP inventory area in 2019. We completed 99 surveys and recorded a total of 50 detections of territorial pairs of eagles at 20 (67 percent) of 30 sites (13.9-square-kilometer [km2] plots). Detection probability of territorial pairs was highest in January and February (≥0.75) and lowest in mid-June to late July (<0.50). After correcting for imperfect detection, the expected probability of site-occupancy was 0.69 (standard error [SE] = 0.09), and mean expected abundance was 0.76 pairs per site (SE = 0.16), or 27.4 pairs per 500 km2. We found evidence of successful nesting (≥1 young fledged) for 3 (14 percent) of 22 pairs of eagles monitored in 2019. Our study design and baseline results should be useful for future monitoring and conservation of golden eagles in the HCP/NCCP area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201107","collaboration":"Prepared in cooperation with East Contra Costa County Habitat Conservancy Science and Research Grant Program, East Bay Regional Parks District, Save Mount Diablo’s Mary Bowerman Science and Research Grant Program, and NextEra Energy","usgsCitation":"Wiens, J.D., Kolar, P.S., and Bell, D.A., 2020, Distribution and abundance of Aquila chrysaetos (golden eagles) in East Contra Costa County Habitat Conservation Plan/Natural Community Conservation Plan area, California: U.S. Geological Survey Open-File Report 2020-1107, 11 p., https://doi.org/10.3133/ofr20201107.","productDescription":"iv, 11 p.","onlineOnly":"Y","ipdsId":"IP-119617","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":378434,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1107/coverthb.jpg"},{"id":378435,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1107/ofr20201107.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1107"}],"country":"United States","state":"California","county":"Contra Costa County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.75048828124999,\n 37.37015718405753\n ],\n [\n -120.83312988281249,\n 37.37015718405753\n ],\n [\n -120.83312988281249,\n 38.08701320402273\n ],\n [\n -121.75048828124999,\n 38.08701320402273\n ],\n [\n -121.75048828124999,\n 37.37015718405753\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
Tsunami risk management requires strategies that can address multiple sources with different recurrence intervals, wave-arrival times, and inundation extents. Probabilistic tsunami hazard analysis (PTHA) provides a structured way to integrate multiple sources, including the uncertainties due to the natural variability and limited knowledge of sources. PTHA-based products relate to specific average return periods (ARP) and while there has been considerable attention paid to ARP choice for building codes, guidance on ARP choice to support evacuation planning and related land use is lacking. We use the State of California (USA) coastal communities as a case study to explore the use of geospatial analysis and pedestrian-evacuation modeling for comparing the societal implications of tsunamis based on evacuation areas that reflect inundation from 475-year, 975-year, and 2475-year ARPs. Results demonstrate that changes in PTHA ARP had a substantial effect on the number of tax-lot parcels in PTHA evacuation areas, but not on the primary land use of these parcels or which communities had the largest number of exposed parcels. Composite PTHA maps provided high-level insights on hazard exposure and identified dominant sources; however, disaggregated PTHA outputs that reflect single source parameters (e.g., wave-arrival time) were necessary to quantify evacuation potential from local and distant tsunamis. Framing changes in ARP assumption based on changes in the number, land-use type, and potential evacuation challenges of parcels in evacuation areas can provide valuable insight on the real-world implications of which ARP to use in land use or evacuation planning.
Spatially distributed populations often rely on large-scale processes for long-term population stability. These processes are driven by individuals moving across the landscape through long-distance dispersal movements. However, as landscapes are continually altered by anthropogenic development, increased fragmentation and avoidance behavior can affect landscape permeability and limit dispersal. Lesser prairie-chickens (Tympanuchus pallidicinctus) are a species of concern that have lost significant portions (>90%) of their historic distribution in the Southern Great Plains of the United States and are currently being impacted by continued anthropogenic development. Using GPS telemetry locations of 346 lesser prairie-chickens across their entire geographic distribution, we identified 184 different long-distance movements that drive population connectivity. We used empirical cumulative distribution functions to create a selection–avoidance–neutral curve and estimated the spatial scale of response to anthropogenic features (i.e., towers and windmills, large transmission and smaller distribution powerlines, oil wells, roads, and fences) during these movements. In addition, we tested for behavioral differences between movement types (e.g., exploratory loops vs. long-distance movements between home ranges) and for regional differences in response among study areas. We found that during long-distance movements, lesser prairie-chickens generally avoided all anthropogenic feature types we tested despite some variation in the reported response distance among study areas. However, they avoided the tallest features (i.e., towers and windmills and transmission powerlines) at much greater distances in comparison with the shorter features in our analysis. Our results show that long-distance movements are likely affected by responses to functional landscape fragmentation through increased development of anthropogenic features in important connectivity zones. As our estimated response distances during long-distance movements varied in comparison with previously reported response distances during other behavioral states (e.g., breeding or nesting), using long-distance or dispersal specific movement data may be more appropriate when asking questions related to connectivity across the landscape.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3202","usgsCitation":"Peterson, J.M., Earl, J.E., Fuhlendorf, S.D., Elmore, D., Haukos, D.A., Tanner, A.M., and Carleton, S., 2020, Estimating response distances of lesser prairie-chickens to anthropogenic features during long-distance movements: Ecosphere, v. 11, no. 9, e03202, 15 p., https://doi.org/10.1002/ecs2.3202.","productDescription":"e03202, 15 p.","ipdsId":"IP-101823","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":455320,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3202","text":"Publisher Index Page"},{"id":388350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, New Mexico, Oklahoma, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.94140625,\n 32.32427558887655\n ],\n [\n -98.349609375,\n 32.32427558887655\n ],\n [\n -98.349609375,\n 40.245991504199026\n ],\n [\n -104.94140625,\n 40.245991504199026\n ],\n [\n -104.94140625,\n 32.32427558887655\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Jacob M.","contributorId":264585,"corporation":false,"usgs":false,"family":"Peterson","given":"Jacob","email":"","middleInitial":"M.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":821703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Earl, Julia E.","contributorId":264586,"corporation":false,"usgs":false,"family":"Earl","given":"Julia","email":"","middleInitial":"E.","affiliations":[{"id":54510,"text":"ltu","active":true,"usgs":false}],"preferred":false,"id":821704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuhlendorf, Samuel D.","contributorId":264587,"corporation":false,"usgs":false,"family":"Fuhlendorf","given":"Samuel","email":"","middleInitial":"D.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":821705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elmore, Dwayne","contributorId":264588,"corporation":false,"usgs":false,"family":"Elmore","given":"Dwayne","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":821706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":821702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tanner, Ashley M.","contributorId":264589,"corporation":false,"usgs":false,"family":"Tanner","given":"Ashley","email":"","middleInitial":"M.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":821707,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carleton, Scott A.","contributorId":264590,"corporation":false,"usgs":false,"family":"Carleton","given":"Scott A.","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":821708,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70215144,"text":"70215144 - 2020 - Modeling the spatial dynamics of marsh ponds in New England salt marshes","interactions":[],"lastModifiedDate":"2020-10-08T12:34:21.986773","indexId":"70215144","displayToPublicDate":"2020-09-15T07:24:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the spatial dynamics of marsh ponds in New England salt marshes","docAbstract":"Ponds are common features on salt marshes, yet it is unclear how they affect large-scale marsh evolution. We developed a spatially explicit model that combines cellular automata for pond formation, expansion, and drainage, and partial differential equations for elevation dynamics. We use the mesotidal Barnstable marsh (MA, USA) as a case study, for which we measured pond expansion rate by remote sensing analysis over a 41-year time span. We estimated pond formation rate by comparing observed and modeled pond size distribution, and predicted pond deepening by comparing modeled and measured pond depth. The Barnstable marsh is currently in the pond recovery regime, i.e.,every pond revegetates and recovers the necessary elevation to support plant growth after re-connecting to the channel network. This pond dynamic creates an equivalent (i.e.,spatially and temporally averaged over the whole marsh) 0.5–2 mm/yr elevation loss that needs to be supplemented by excess vertical accretion. We explore how the pond regime would change with decreased sediment supply and increased relative sea-level rise (RSLR) rate, focusing on the case in which the vegetated marsh keeps pace with RSLR. When the RSLR rate remains below the minimum unvegetated deposition rate, the pond dynamics is nearly unaltered and ponds always occupy ~10% of the marsh area. However, when RSLR rate exceeds this threshold, the ponds in the marsh interior – which receive the least amount of suspended sediment – do not recover after drainage. These ponds transition to mudflats and permanently occupy up to 30% of the marsh area depending on RSLR rate. For marshes with a small tidal range, such as the microtidal Sage Lot Pond marsh on the opposite side of the peninsula from Barnstable marsh, high RSLR rates could bring every portion of the marsh into the pond runaway regime, with the whole marsh eventually converting into mudflats. In this regime, the existing marsh would disappear within centuries to millennia depending on the RSLR rate. Because of the spatial and temporal components of marsh evolution, a single RSLR threshold value applied across the entire marsh landscape provides a limited description of the marsh vulnerability to RSLR.
We present a high-resolution daily temperature data set, CHIRTS-daily, which is derived by merging the monthly Climate Hazards center InfraRed Temperature with Stations climate record with daily temperatures from version 5 of the European Centre for Medium-Range Weather Forecasts Re-Analysis. We demonstrate that remotely sensed temperature estimates may more closely represent true conditions than those that rely on interpolation, especially in regions with sparse in situ data. By leveraging remotely sensed infrared temperature observations, CHIRTS-daily provides estimates of 2-meter air temperature for 1983–2016 with a footprint covering 60°S-70°N. We describe this data set and perform a series of validations using station observations from two prominent climate data sources. The validations indicate high levels of accuracy, with CHIRTS-daily correlations with observations ranging from 0.7 to 0.9, and very good representation of heat wave trends.
","language":"English","publisher":"Nature Publications","doi":"10.1038/s41597-020-00643-7","usgsCitation":"Verdin, A., Funk, C., Peterson, P., Landsfeld, M., Tuholske, C., and Grace, K., 2020, Development and validation of the CHIRTS-daily quasi-global high-resolution daily temperature data set: Scientific Data, v. 7, 303, 14 p., https://doi.org/10.1038/s41597-020-00643-7.","productDescription":"303, 14 p.","ipdsId":"IP-118171","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":455325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-020-00643-7","text":"Publisher Index Page"},{"id":421817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2020-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Verdin, Andrew","contributorId":145812,"corporation":false,"usgs":false,"family":"Verdin","given":"Andrew","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":885585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":885586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Pete","contributorId":192379,"corporation":false,"usgs":false,"family":"Peterson","given":"Pete","affiliations":[],"preferred":false,"id":885587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landsfeld, Martin","contributorId":192380,"corporation":false,"usgs":false,"family":"Landsfeld","given":"Martin","affiliations":[],"preferred":false,"id":885588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tuholske, Cascade","contributorId":330685,"corporation":false,"usgs":false,"family":"Tuholske","given":"Cascade","email":"","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":885589,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grace, Kathryn","contributorId":145815,"corporation":false,"usgs":false,"family":"Grace","given":"Kathryn","email":"","affiliations":[{"id":7215,"text":"University of Utah Dept. of Geography","active":true,"usgs":false}],"preferred":false,"id":885590,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215576,"text":"70215576 - 2020 - A manipulative thermal challenge protocol for adult salmonids in remote field settings","interactions":[],"lastModifiedDate":"2020-10-23T13:00:33.632469","indexId":"70215576","displayToPublicDate":"2020-09-14T07:54:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"A manipulative thermal challenge protocol for adult salmonids in remote field settings","docAbstract":"Manipulative experiments provide stronger evidence for identifying cause-and-effect relationships than correlative studies, but protocols for implementing temperature manipulations are lacking for large species in remote settings. We developed an experimental protocol for holding adult Chinook salmon (Oncorhynchus tshawytscha) and exposing them to elevated temperature treatments. The goal of the experimental protocol was to validate heat stress biomarkers by increasing river water temperature from ambient (~14°C) to a treatment temperature of 18°C or 21°C and then maintain the treatment temperature over 4 hours within a range of ±1.0°C. Our protocol resulted in a mean rate of temperature rise of 3.71°C h-1 (SD = 1.31) to treatment temperatures and mean holding temperatures of 18.0°C (SD = 0.2) and 21.0°C (SD = 0.2) in the low- and high-heat treatments, respectively. Our work demonstrated that manipulative experiments with large, mobile study species can be successfully developed in remote locations to examine thermal stress.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coaa074","usgsCitation":"Donnelly, D., von Biela, V.R., McCormick, S.D., Laske, S.M., Carey, M.P., Waters-Dynes, S.C., Bowen, L., Brown, R., Larson, S., and Zimmerman, C.E., 2020, A manipulative thermal challenge protocol for adult salmonids in remote field settings: Conservation Physiology, v. 1, no. 8, coaa074, 11 p., https://doi.org/10.1093/conphys/coaa074.","productDescription":"coaa074, 11 p.","ipdsId":"IP-111875","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":455326,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coaa074","text":"Publisher Index Page"},{"id":379683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Donnelly, Daniel S. 0000-0001-9456-885X","orcid":"https://orcid.org/0000-0001-9456-885X","contributorId":243180,"corporation":false,"usgs":false,"family":"Donnelly","given":"Daniel S.","affiliations":[{"id":48651,"text":"Formally USGS Alaska Science Center","active":true,"usgs":false}],"preferred":false,"id":802824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"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":802825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":802826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laske, Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":802827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":802828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":802829,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":802830,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, Randy J","contributorId":243248,"corporation":false,"usgs":false,"family":"Brown","given":"Randy J","affiliations":[{"id":48666,"text":"USFWS, Fairbanks, Alaska","active":true,"usgs":false}],"preferred":false,"id":802831,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Larson, Sean","contributorId":243250,"corporation":false,"usgs":false,"family":"Larson","given":"Sean","email":"","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":802832,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":802833,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70213199,"text":"70213199 - 2020 - Land-use change and future water demand in California’s central coast","interactions":[],"lastModifiedDate":"2020-09-15T12:17:33.92982","indexId":"70213199","displayToPublicDate":"2020-09-14T07:07:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Land-use change and future water demand in California’s central coast","docAbstract":"Understanding future land-use related water demand is important for planners and resource managers in identifying potential shortages and crafting mitigation strategies. This is especially the case for regions dependent on limited local groundwater supplies. For the groundwater dependent Central Coast of California, we developed two scenarios of future land use and water demand based on sampling from a historical land change record: a business-as-usual scenario (BAU; 1992–2016) and a recent-modern scenario (RM; 2002–2016). We modeled the scenarios in the stochastic, empirically based, spatially explicit LUCAS state-and-transition simulation model at a high resolution (270-m) for the years 2001–2100 across 10 Monte Carlo simulations, applying current land zoning restrictions. Under the BAU scenario, regional water demand increased by an estimated ~222.7 Mm3 by 2100, driven by the continuation of perennial cropland expansion as well as higher than modern urbanization rates. Since 2000, mandates have been in place restricting new development unless adequate water resources could be identified. Despite these restrictions, water demand dramatically increased in the RM scenario by 310.6 Mm3 by century’s end, driven by the projected continuation of dramatic orchard and vineyard expansion trends. Overall, increased perennial cropland leads to a near doubling to tripling perennial water demand by 2100. Our scenario projections can provide water managers and policy makers with information on diverging land use and water use futures based on observed land change and water use trends, helping to better inform land and resource management decisions.
","language":"English","publisher":"MDPI","doi":"10.3390/land9090322","usgsCitation":"Wilson, T., Van Schmidt, N.D., and Langridge, R., 2020, Land-use change and future water demand in California’s central coast: Land, v. 9, no. 322, p. 322-343, https://doi.org/10.3390/land9090322.","productDescription":"21 p.","startPage":"322","endPage":"343","ipdsId":"IP-112033","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":455329,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land9090322","text":"Publisher Index Page"},{"id":378385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Santa Cruz, San Benito, Monterey, San Luis Obispo, & Santa Barbara","otherGeospatial":"central California coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.838623046875,\n 35.585851593232356\n ],\n [\n -121.06109619140625,\n 35.505400093441324\n ],\n [\n -120.89904785156251,\n 35.22094130403182\n ],\n [\n -120.66558837890626,\n 34.89043681762452\n ],\n [\n -120.63812255859375,\n 34.76417891445512\n ],\n [\n -120.58319091796874,\n 34.646766246519114\n ],\n [\n -120.22613525390624,\n 34.80252766591687\n ],\n [\n -120.0640869140625,\n 34.872411827691025\n ],\n [\n -120.838623046875,\n 35.585851593232356\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"322","noUsgsAuthors":false,"publicationDate":"2020-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":798599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Schmidt, Nathan D. 0000-0002-5973-7934","orcid":"https://orcid.org/0000-0002-5973-7934","contributorId":240648,"corporation":false,"usgs":false,"family":"Van Schmidt","given":"Nathan","middleInitial":"D.","affiliations":[{"id":32898,"text":"U.C. Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":798600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langridge, Ruth 0000-0001-5320-8882","orcid":"https://orcid.org/0000-0001-5320-8882","contributorId":240649,"corporation":false,"usgs":false,"family":"Langridge","given":"Ruth","email":"","affiliations":[{"id":32898,"text":"U.C. Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":798601,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70212635,"text":"70212635 - 2020 - Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States","interactions":[],"lastModifiedDate":"2023-11-08T16:13:16.263836","indexId":"70212635","displayToPublicDate":"2020-09-13T13:38:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6465,"text":"Journal of American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States","docAbstract":"High salinity limits groundwater use in parts of the Mississippi embayment. Machine learning was used to create spatially continuous and three‐dimensional predictions of salinity across drinking‐water aquifers in the embayment. Boosted regression tree (BRT) models, a type of machine learning, were used to predict specific conductance (SC) and chloride (Cl), and total dissolved solids (TDS) was calculated from a correlation with SC. Explanatory variables for BRT models included well location and construction, surficial variables (e.g., soils and land use), and variables extracted from a groundwater‐flow model, including simulated groundwater ages. BRT model fits (r2) were 0.74 (SC and Cl) and 0.62 (TDS). BRT models provided spatially continuous salinity predictions across surficial and deeper aquifers where discrete water‐quality samples were missing. Uncertainty was smaller where salinity was lower, and models tended to underpredict in areas of highest salinity. Despite this, BRT models were able to capture areas of documented high salinity that exceed the TDS secondary maximum contaminant level for drinking water of 500 mg/L. Variables that served as surrogates for position along groundwater flowpaths were the most important predictors, indicating that much of the control on dissolved solids is related to rock‐water interaction as residence time increases. BRT models additionally support hypotheses of both surficial and deep sources of salinity.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12879","usgsCitation":"Knierim, K.J., Kingsbury, J.A., Haugh, C., and Ransom, K.M., 2020, Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States: Journal of American Water Resources Association, v. 56, no. 6, https://doi.org/10.1111/1752-1688.12879.","productDescription":"20 p.","startPage":"1029","ipdsId":"IP-111775","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":455333,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12879","text":"Publisher Index Page"},{"id":436791,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WBFR1T","text":"USGS data release","linkHelpText":"Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment"},{"id":382516,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi Embayment","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.3408203125,\n 36.98500309285596\n ],\n [\n -90.52734374999999,\n 36.73888412439431\n ],\n [\n -92.3291015625,\n 34.66935854524543\n ],\n [\n -93.779296875,\n 32.32427558887655\n ],\n [\n -92.548828125,\n 31.240985378021307\n ],\n [\n -90.52734374999999,\n 32.509761735919426\n ],\n [\n -88.857421875,\n 32.10118973232094\n ],\n [\n -87.2314453125,\n 30.789036751261136\n ],\n [\n -86.923828125,\n 31.690781806136822\n ],\n [\n -87.275390625,\n 32.879587173066305\n ],\n [\n -88.9453125,\n 33.87041555094183\n ],\n [\n -89.2529296875,\n 35.17380831799959\n ],\n [\n -88.6376953125,\n 36.59788913307022\n ],\n [\n -88.76953125,\n 36.914764288955936\n ],\n [\n -89.3408203125,\n 36.98500309285596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"6","edition":"1010","noUsgsAuthors":false,"publicationDate":"2020-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kingsbury, James A. 0000-0003-4985-275X jakingsb@usgs.gov","orcid":"https://orcid.org/0000-0003-4985-275X","contributorId":883,"corporation":false,"usgs":true,"family":"Kingsbury","given":"James","email":"jakingsb@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797183,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haugh, Connor J. 0000-0002-5204-8271","orcid":"https://orcid.org/0000-0002-5204-8271","contributorId":219945,"corporation":false,"usgs":true,"family":"Haugh","given":"Connor J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797184,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ransom, Katherine Marie 0000-0001-6195-7699","orcid":"https://orcid.org/0000-0001-6195-7699","contributorId":239552,"corporation":false,"usgs":true,"family":"Ransom","given":"Katherine","email":"","middleInitial":"Marie","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797185,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70214081,"text":"70214081 - 2020 - The roles of storminess and sea level rise in decadal barrier island evolution","interactions":[],"lastModifiedDate":"2020-09-22T15:15:12.947787","indexId":"70214081","displayToPublicDate":"2020-09-13T10:09:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The roles of storminess and sea level rise in decadal barrier island evolution","docAbstract":"Models of alongshore sediment transport during quiescent conditions, storm‐driven barrier island morphology, and poststorm dune recovery are integrated to assess decadal barrier island evolution under scenarios of increased sea levels and variability in storminess (intensity and frequency). Model results indicate barrier island response regimes of keeping pace, narrowing, flattening, deflation (narrowing and flattening), and aggradation. Under lower storminess scenarios, more areas of the island experienced narrowing due to collision. Under higher storminess scenarios, more areas experienced flattening due to overwash and inundation. Both increased sea levels and increased storminess resulted in breaching when the majority of the island was not keeping pace and deflation was the dominant regime due to increased overtopping. Under the highest storminess scenario, the island was unable to recover elevation after storms and drowned in just 10 years.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GL089370","usgsCitation":"Passeri, D., Dalyander, P., Long, J.W., Mickey, R.C., Jenkins, R., Thompson, D.M., Plant, N.G., Godsey, E., and Gonzalez, V., 2020, The roles of storminess and sea level rise in decadal barrier island evolution: Geophysical Research Letters, v. 47, no. 18, e2020GL089370, 8 p., https://doi.org/10.1029/2020GL089370.","productDescription":"e2020GL089370, 8 p.","ipdsId":"IP-121601","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":378665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.35273742675781,\n 30.207454473209072\n ],\n [\n -88.06571960449219,\n 30.207454473209072\n ],\n [\n -88.06571960449219,\n 30.29523927312319\n ],\n [\n -88.35273742675781,\n 30.29523927312319\n ],\n [\n -88.35273742675781,\n 30.207454473209072\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"18","noUsgsAuthors":false,"publicationDate":"2020-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":799389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":221891,"corporation":false,"usgs":false,"family":"Dalyander","given":"P. Soupy","affiliations":[{"id":40456,"text":"St. Petersburg Coastal and Marine Science Center (Former Employee)","active":true,"usgs":false}],"preferred":false,"id":799390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Joseph W. 0000-0003-2912-1992","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":219235,"corporation":false,"usgs":false,"family":"Long","given":"Joseph","email":"","middleInitial":"W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":799391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mickey, Rangley C. 0000-0001-5989-1432 rmickey@usgs.gov","orcid":"https://orcid.org/0000-0001-5989-1432","contributorId":141016,"corporation":false,"usgs":true,"family":"Mickey","given":"Rangley","email":"rmickey@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":799392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenkins, Robert L. III 0000-0003-2078-4618","orcid":"https://orcid.org/0000-0003-2078-4618","contributorId":202181,"corporation":false,"usgs":true,"family":"Jenkins","given":"Robert L.","suffix":"III","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":799393,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":799394,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":799395,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Godsey, Elizabeth","contributorId":177095,"corporation":false,"usgs":false,"family":"Godsey","given":"Elizabeth","affiliations":[],"preferred":false,"id":799396,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gonzalez, Victor","contributorId":173702,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Victor","affiliations":[],"preferred":false,"id":799397,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70218454,"text":"70218454 - 2020 - Hydro-climatic drought in the Delaware River Basin","interactions":[],"lastModifiedDate":"2021-02-26T13:54:09.110536","indexId":"70218454","displayToPublicDate":"2020-09-13T07:50:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Hydro-climatic drought in the Delaware River Basin","docAbstract":"The Delaware River Basin (DRB) supplies water to approximately 15 million people and is essential to agriculture and industry. In this study, a monthly water balance model is used to compute monthly water balance components (i.e., potential evapotranspiration, actual evapotranspiration, and runoff [R]) for the DRB for the 1901 through 2015 period. Water‐year R is used to identify drought periods in the basin and seven drought periods were identified. All but one of the drought periods occurred before about 1970; after this date, precipitation increased in the DRB and droughts were infrequent. The seven droughts were largely driven by precipitation deficits, rather than by unusually warm temperatures. For six of the seven droughts, the precipitation deficits were associated with atmospheric pressure patterns that resulted in northerly wind anomalies (i.e., conditions that deviate from the long‐term mean) over the basin that indicate an anomalous flow of dry air from the North American continent into the DRB. An examination of drought events estimated from a tree ring–based reconstruction of the Palmer Drought Severity Index for the 490 through 2005 time period indicates that although there were some DRB droughts that were longer and more severe during previous centuries, the DRB droughts during 1901 through 2015 were comparable in duration and severity to most drought events during previous centuries.
The Geomagnetism Program of the U.S. Geological Survey (USGS) monitors geomagnetic field variation through operation of a network of observatories across the United States and its territories, and it pursues scientific research needed to estimate and assess geomagnetic and geoelectric hazards. Over the next five years (2020–2024 inclusive) and in support of national and agency priorities, Geomagnetism Program research scientists plan to pursue an integrated set of research projects broadly encompassing empirical estimation and mapping of geomagnetic disturbance, modeling of solid-Earth conductivity structure and surface impedance, and mapping of magnetic-storm-induced geoelectric fields. Analyses are empirically based, relying on measured time series as well as statistical and numerical modeling of geomagnetic-monitoring data from ground-based observatories and surface-impedance tensors acquired during magnetotelluric surveys. The plan describes augmentation and development of the Geomagnetism Program's existing research portfolio, assuming present funding levels and staffing numbers. Because the projects are interdependent, they cannot be straightforwardly prioritized. They will all be pursued as resources and time permit; additional funding and staffing would enable the projects to be broadened and more rapidly completed. Where appropriate and subject to budgetary constraints and staffing numbers, research on specific projects might be accelerated or even judiciously expanded—some opportunities for expansion are discussed in this plan. Results will provide realistic illumination of the nature of the ground-level expression of space-weather disturbance, a subject of particular importance for projects focused on evaluating the vulnerability of electric-power-grid systems. This plan does not cover Geomagnetism Program operations, which are primarily concerned with the operation of magnetic observatories and, now, magnetotelluric surveys, although the context of such observatories and surveys is discussed. The research element of the program provides guidance for the expansion of program operations and research projects. In addition to the research projects summarized here, program scientists continue to provide leadership to the national and international geomagnetic, magnetotelluric, and space-weather communities.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1469","issn":"2330-5703","usgsCitation":"Love, J.J., Kelbert, A., Murphy, B.S., Rigler, E.J., and Lewis, K.A., 2020, Geomagnetism Program research plan, 2020–2024: U.S. Geological Survey Circular 1469, 19 p., https://doi.org/10.3133/cir1469.","productDescription":"viii, 19 p.","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":378321,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1469/coverthb.jpg"},{"id":378322,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1469/circ1469.pdf","text":"Report","size":"14.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1469"}],"contact":"Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, MS 966
Denver, CO 80225
The ability to effectively manage game species for specific conservation objectives is often limited by the scientific understanding of their distribution and abundance. This is especially true in Hawai‘i where introduced game mammals are poorly studied and have low value relative to native species in other states. We modeled the habitat suitability and ecological associations of European mouflon sheep (“mouflon”; Ovis musimon) and axis deer (Axis axis) on the island of Lāna‘i using intensive aerial survey and environmental data that included climate, vegetation, and topographic variables. We conducted diagnostic tests on a suite of primarily categorical predictors and determined most were highly correlated. We therefore developed a suite of other spatial predictor layers with continuous variables. We tested several modeling approaches but settled on generalized linear models (GLM) and random GLMs because they could account for group size of animals and were based on curvilinear responses of each species to environmental variability. Both mammal species were habitat generalists showing little affinity to particular plant species or communities. Continuous predictors associated with plant productivity such as mean annual precipitation, normalized difference vegetation index (NDVI), and cloud cover were important explanatory factors in a GLM of axis deer and a random GLM of mouflon habitat suitability. The presence of axis deer was also an important explanatory predictor for mouflon distribution, but deer were not influenced by mouflon distribution, indicating asymmetrical competition. Consequently, mouflon were restricted to lower elevation arid and very dry slopes, whereas axis deer were more broadly distributed throughout other upland environments of the island, but avoided steep terrain. Findings indicate that removal of a substantial portion of the more abundant axis deer population may lead to an increase in abundance and distribution of mouflon without containment. Resulting spatial models of game mammal habitat suitability will be employed to inform land use prioritization analyses and to help resolve long-standing conflicts between native species conservation and sustained-yield hunting.
","language":"English","publisher":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i","usgsCitation":"Hess, S.C., Fortini, L., Leopold, C., Muise, J., and Sprague, J., 2020, Habitat suitability and ecological associations of two non-native ungulate species on the Hawaiian island of Lanai: Hawaii Cooperative Studies Unit Technical Report Series 91, iv, 30 p.","productDescription":"iv, 30 p.","ipdsId":"IP-113538","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":378620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378602,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5383"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Lāna‘i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.79962158203125,\n 20.824159066298787\n ],\n [\n -156.8909454345703,\n 20.917189979347988\n ],\n [\n -156.9891357421875,\n 20.931941310423674\n ],\n [\n -157.060546875,\n 20.913982976117605\n ],\n [\n -157.06329345703125,\n 20.88383379386135\n ],\n [\n -157.0323944091797,\n 20.85624519604873\n ],\n [\n -157.0001220703125,\n 20.834427371957577\n ],\n [\n -156.9891357421875,\n 20.812606385754087\n ],\n [\n -156.99462890624997,\n 20.78564668820214\n ],\n [\n -156.9843292236328,\n 20.756113874762082\n ],\n [\n -156.9609832763672,\n 20.72400644605942\n ],\n [\n -156.88201904296875,\n 20.73877670943921\n ],\n [\n -156.8305206298828,\n 20.75868217465891\n ],\n [\n -156.80374145507812,\n 20.804904106750566\n ],\n [\n -156.79962158203125,\n 20.821591880501483\n ],\n [\n -156.79962158203125,\n 20.824159066298787\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hess, Steve C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":799277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":799278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leopold, Christina 0000-0003-0499-3196","orcid":"https://orcid.org/0000-0003-0499-3196","contributorId":178961,"corporation":false,"usgs":false,"family":"Leopold","given":"Christina","affiliations":[],"preferred":false,"id":799279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muise, Jacob","contributorId":240997,"corporation":false,"usgs":false,"family":"Muise","given":"Jacob","email":"","affiliations":[{"id":48185,"text":"KIA Hawaii","active":true,"usgs":false}],"preferred":false,"id":799280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sprague, Jonathan","contributorId":240998,"corporation":false,"usgs":false,"family":"Sprague","given":"Jonathan","email":"","affiliations":[{"id":48186,"text":"Pulama Lana‘i","active":true,"usgs":false}],"preferred":false,"id":799281,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70214963,"text":"70214963 - 2020 - Testing a new passive acoustic recording unit to monitor wolves","interactions":[],"lastModifiedDate":"2020-10-05T11:53:58.708804","indexId":"70214963","displayToPublicDate":"2020-09-11T09:48:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Testing a new passive acoustic recording unit to monitor wolves","docAbstract":"As part of a broader trial of noninvasive methods to research wild wolves (Canis lupus) in Minnesota, USA, we explored whether wolves could be remotely monitored using a new, inexpensive, remotely deployable, noninvasive, passive acoustic recording device, the AudioMoth. We tested the efficacy of AudioMoths in detecting wolf howls and factors influencing detection by placing them at set distances from a captive wolf pack and compared those recordings with real‐time, on‐site howling data between 22 May and 17 June 2019. We identified 1,531 vocalizations grouped into 428 vocal events (236 solo howl series and 192 chorus howls). The on‐site AudioMoth correctly recorded 100% of chorus and solo howls that were also documented in real‐time. The remote array detected 49.5% of chorus and 11.9% of solo howls (≥1 unit detected the event). The closest remote AudioMoth (0.54 km, 0.33 mi) detected 37% of choruses and 8.9% of solo howls. Chorus howls (9.4%) were detected at the farthest unit (3.2 km, 2.0 mi). Favorable wind (carrying source howls to the remote units) and calm (no wind) conditions increased detectability and detection distance of chorus howls. Temperature was inversely related to detection. Given the detection distances we observed, AudioMoths are probably useful in studying specific sites during periods when wolves move less frequently (e.g., during late spring and summer at homesites or potentially during winter at kill sites of very large prey). AudioMoths would also be useful in a passive sampling array (e.g., occupancy studies), especially when used in concert with other methods such as camera‐trapping. Additional research should be conducted in areas with different environmental variables (e.g., wind, temperature, habitat, topography) to determine performance under varying conditions and also when fitted with a parabolic dish.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1117","usgsCitation":"Barber-Meyer, S., Palacios, V., Marti‐Domken, B., and Schmidt, L., 2020, Testing a new passive acoustic recording unit to monitor wolves: Wildlife Society Bulletin, v. 44, no. 3, p. 590-598, https://doi.org/10.1002/wsb.1117.","productDescription":"9 p.","startPage":"590","endPage":"598","ipdsId":"IP-115563","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":379016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.10937499999999,\n 46.74362499884437\n ],\n [\n -91.42822265625,\n 47.12995075666307\n ],\n [\n -90.76904296874999,\n 47.60616304386874\n ],\n [\n -89.7802734375,\n 47.85740289465826\n ],\n [\n -89.593505859375,\n 48.019324184801185\n ],\n [\n -89.8077392578125,\n 48.019324184801185\n ],\n [\n -90.02197265625,\n 48.111099041065366\n ],\n [\n -90.24169921875,\n 48.10743118848039\n ],\n [\n -90.4779052734375,\n 48.14043243818811\n ],\n [\n -90.71411132812499,\n 48.103763074117765\n ],\n [\n -90.867919921875,\n 48.25028349849022\n ],\n [\n -91.14257812499999,\n 48.17341248658084\n ],\n [\n -91.4227294921875,\n 48.04503763958813\n ],\n [\n -91.82373046875,\n 48.25394114463431\n ],\n [\n -92.10937499999999,\n 48.381793961204984\n ],\n [\n -92.28515625,\n 48.3416461723746\n ],\n [\n -92.28515625,\n 48.272225451004324\n ],\n [\n -92.373046875,\n 48.25028349849022\n ],\n [\n -92.5048828125,\n 48.45835188280866\n ],\n [\n -92.68615722656249,\n 48.44377831058802\n ],\n [\n -92.6092529296875,\n 48.53843177405044\n ],\n [\n -92.955322265625,\n 48.61475368407372\n ],\n [\n -93.4002685546875,\n 48.636538782610465\n ],\n [\n -93.71337890625,\n 48.48748647988415\n ],\n [\n -93.36181640625,\n 48.38544219115483\n ],\n [\n -93.18603515624999,\n 48.09275716032736\n ],\n [\n -92.79052734375,\n 47.66538735632654\n ],\n [\n -92.2412109375,\n 47.15984001304432\n ],\n [\n -92.10937499999999,\n 46.74362499884437\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":217941,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":800443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palacios, Vicente","contributorId":73043,"corporation":false,"usgs":true,"family":"Palacios","given":"Vicente","email":"","affiliations":[],"preferred":false,"id":800444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marti‐Domken, Barbara","contributorId":242598,"corporation":false,"usgs":false,"family":"Marti‐Domken","given":"Barbara","affiliations":[],"preferred":false,"id":800445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Lori","contributorId":192924,"corporation":false,"usgs":false,"family":"Schmidt","given":"Lori","affiliations":[],"preferred":false,"id":800446,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70213214,"text":"70213214 - 2020 - What are the effects of climate variability and change on ungulate life-histories, population dynamics, and migration in western North America? A systematic map protocol","interactions":[],"lastModifiedDate":"2020-09-15T15:39:29.520745","indexId":"70213214","displayToPublicDate":"2020-09-11T08:21:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5897,"text":"Environmental Evidence","active":true,"publicationSubtype":{"id":10}},"title":"What are the effects of climate variability and change on ungulate life-histories, population dynamics, and migration in western North America? A systematic map protocol","docAbstract":"Climate is an important driver of ungulate life-histories, population dynamics, and migratory behaviors, and can affect the growth, development, fecundity, dispersal, and demographic trends of populations. Changes in temperature and precipitation, and resulting shifts in plant phenology, winter severity, drought and wildfire conditions, invasive species distribution and abundance, predation, and disease have the potential to directly or indirectly affect ungulates. However, ungulate responses to climate variability and change are not uniform and vary by species and geography. Here, we present a systematic map protocol aiming to describe the abundance and distribution of evidence on the effects of climate variability and change on ungulate life-histories, population dynamics, and migration in North America. This map will help to identify knowledge gaps and clusters of evidence, and can be used to inform future research directions and adaptive management strategies.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13750-020-00204-w","usgsCitation":"Malpeli, K., Weiskopf, S.R., Thompson, L., and Amanda R. Hardy, 2020, What are the effects of climate variability and change on ungulate life-histories, population dynamics, and migration in western North America? A systematic map protocol: Environmental Evidence, v. 9, 21, 9 p., https://doi.org/10.1186/s13750-020-00204-w.","productDescription":"21, 9 p.","ipdsId":"IP-121485","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":455340,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13750-020-00204-w","text":"Publisher Index Page"},{"id":378393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2020-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Malpeli, Kate 0000-0003-0780-918X","orcid":"https://orcid.org/0000-0003-0780-918X","contributorId":217755,"corporation":false,"usgs":true,"family":"Malpeli","given":"Kate","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":798612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":798613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":207364,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":798614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amanda R. Hardy","contributorId":240655,"corporation":false,"usgs":false,"family":"Amanda R. Hardy","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":798615,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215368,"text":"70215368 - 2020 - Transcriptomic response to elevated water temperatures in adult migrating Yukon River Chinook salmon (Oncorhynchus tshawytscha)","interactions":[],"lastModifiedDate":"2020-10-16T13:25:19.924193","indexId":"70215368","displayToPublicDate":"2020-09-11T08:17:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Transcriptomic response to elevated water temperatures in adult migrating Yukon River Chinook salmon (Oncorhynchus tshawytscha)","docAbstract":"Chinook salmon (Oncorhynchus tshawytscha) declines are widespread and may be attributed, at least in part, to warming river temperatures. Water temperatures in the Yukon River and tributaries often exceed 18°C, a threshold commonly associated with heat stress and elevated mortality in Pacific salmon. Untangling the complex web of direct and indirect physiological effects of heat stress on salmon is difficult in a natural setting with innumerable system challenges but is necessary to increase our understanding of both lethal and sublethal impacts of heat stress on populations. The goal of this study was to characterize the cellular stress response in multiple Chinook salmon tissues after acute elevated temperature challenges. We conducted a controlled 4-hour temperature exposure (control, 18°C and 21°C) experiment on the bank of the Yukon River followed by gene expression (GE) profiling using a 3′-Tag-RNA-Seq protocol. The full transcriptome was analysed for 22 Chinook salmon in muscle, gill and liver tissue. Both the 21°C and 18°C treatments induced greater activity in genes associated with protein folding (e.g. HSP70, HSP90 mRNA) processes in all tissues. Global GE patterns indicate that transcriptomic responses to heat stress were highly tissue-specific, underscoring the importance of analyzing multiple tissues for determination of physiological effect. Primary superclusters (i.e. groupings of loosely related terms) of altered biological processes were identified in each tissue type, including regulation of DNA damage response (gill), regulation by host of viral transcription (liver) and regulation of the force of heart contraction (muscle) in the 21°C treatment. This study provides insight into mechanisms potentially affecting adult Chinook salmon as they encounter warm water during their spawning migration in the Yukon River and suggests that both basic and more specialized cellular functions may be disrupted.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coaa084","usgsCitation":"Bowen, L., von Biela, V.R., McCormick, S.D., Regish, A.M., Waters-Dynes, S.C., Durbin-Johnson, B., Britton, M., Settles, M., Donnelly, D., Laske, S.M., Carey, M.P., Brown, R., and Zimmerman, C.E., 2020, Transcriptomic response to elevated water temperatures in adult migrating Yukon River Chinook salmon (Oncorhynchus tshawytscha): Conservation Physiology, v. 8, no. 1, coaa084, 7 p., https://doi.org/10.1093/conphys/coaa084.","productDescription":"coaa084, 7 p.","ipdsId":"IP-112827","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":455343,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coaa084","text":"Publisher Index Page"},{"id":436792,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ECW77M","text":"USGS data release","linkHelpText":"Water Temperature and Dissolved Oxygen Measured During a Manipulative Thermal Challenge Experiment for Adult Salmonids, Yukon River, Alaska, 2018"},{"id":379459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163.564453125,\n 60.19615576604439\n ],\n [\n -158.466796875,\n 61.52269494598361\n ],\n [\n -153.544921875,\n 63.89873081524394\n ],\n [\n -142.294921875,\n 61.56457388515458\n ],\n [\n -139.658203125,\n 59.88893689676585\n ],\n [\n -137.900390625,\n 60.1524422143808\n ],\n [\n -136.7578125,\n 61.52269494598361\n ],\n [\n -136.0986328125,\n 64.47279382008166\n ],\n [\n -145.3271484375,\n 67.90861918215302\n ],\n [\n -147.744140625,\n 67.97463396204759\n ],\n [\n -153.72070312499997,\n 67.45808150845772\n ],\n [\n -156.88476562499997,\n 66.7745857647255\n ],\n [\n -160.400390625,\n 64.92354174306496\n ],\n [\n -160.83984375,\n 63.64625919492172\n ],\n [\n -163.16894531249997,\n 62.85514553774182\n ],\n [\n -163.916015625,\n 63.37183226679281\n ],\n [\n -165.6298828125,\n 62.28836509824845\n ],\n [\n -163.564453125,\n 60.19615576604439\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":801868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":801869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":801870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regish, Amy M. 0000-0003-4747-4265 aregish@usgs.gov","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":5415,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"aregish@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":801914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":801871,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durbin-Johnson, Blythe","contributorId":243240,"corporation":false,"usgs":false,"family":"Durbin-Johnson","given":"Blythe","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":801872,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Britton, Monica","contributorId":243241,"corporation":false,"usgs":false,"family":"Britton","given":"Monica","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":801873,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Settles, Matt","contributorId":243243,"corporation":false,"usgs":false,"family":"Settles","given":"Matt","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":801874,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Donnelly, Daniel S. 0000-0001-9456-885X","orcid":"https://orcid.org/0000-0001-9456-885X","contributorId":243180,"corporation":false,"usgs":false,"family":"Donnelly","given":"Daniel S.","affiliations":[{"id":48651,"text":"Formally USGS Alaska Science Center","active":true,"usgs":false}],"preferred":false,"id":801875,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Laske, Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":801876,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":801877,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brown, Randy J","contributorId":243248,"corporation":false,"usgs":false,"family":"Brown","given":"Randy J","affiliations":[{"id":48666,"text":"USFWS, Fairbanks, Alaska","active":true,"usgs":false}],"preferred":false,"id":801878,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":801880,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70213107,"text":"ofr20201086 - 2020 - Impacts of periodic dredging on macroinvertebrate prey availability for benthic foraging fishes in central San Francisco Bay, California","interactions":[],"lastModifiedDate":"2020-09-14T12:29:00.575115","indexId":"ofr20201086","displayToPublicDate":"2020-09-11T07:59:47","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1086","displayTitle":"Impacts of Periodic Dredging on Macroinvertebrate Prey Availability for Benthic Foraging Fishes in Central San Francisco Bay, California","title":"Impacts of periodic dredging on macroinvertebrate prey availability for benthic foraging fishes in central San Francisco Bay, California","docAbstract":"Because of its importance for species covered under Federal Fishery Management Plans (FMPs), the San Francisco Bay (SFB) estuary has been designated as Essential Fish Habitat (EFH) under the Magnuson-Stevens Fishery Conservation and Management Act (MSA; 16 United States Code §18559b). Within this estuary, benthic macroinvertebrate communities provide important prey resources for many economically significant fish species that rely on EFH. Periodic maintenance dredging can impact benthic communities; however, there is a lack of scientific information specific to SFB regarding dredging effects on macroinvertebrates in fish foraging areas. In addition, rates of benthic community recolonization and recovery following dredging and subsequent effects on foraging fish are unknown. For this reason, it is difficult for regulatory and resource agencies to determine the impacts of maintenance dredging. Thus, the National Marine Fisheries Service (NMFS) and the consortium of agencies (U.S. Environmental Protection Agency [EPA], U.S. Army Corp of Engineers [USACE], San Francisco Regional Water Quality Control Board [SFRWQCB], and San Francisco Bay Conservation and Development Commission [BCDC]) that make up the San Francisco Bay Long Term Management Strategy for Dredging (LTMS) identified a study of dredging impacts on SFB fish foraging habitat as one of their highest priorities in their 2011 Programmatic EFH Agreement (U.S. Army Corp of Engineers and U.S. Environmental Protection Agency, 2011).
The LTMS agencies identified the region of interest as shallow (<13 feet [<4 meters (m)] mean lower low water [MLLW]), soft-bottom (silt/clay soil texture) areas in the Central Bay of SFB that were periodically dredged (every 1–3 years). Fish species of interest were compiled by NMFS and included those managed by the Pacific Groundfish, Pacific Salmon, and Coastal Pelagic FMPs (pursuant to the MSA) as well as those listed under the California State or Federal Endangered Species Act (ESA; 16 U.S.C. §1531–1544) as threatened or endangered. Target species included leopard shark (Triakis semifasciata), big skate (Raja binoculata), English sole (Parophrys vetulus), starry flounder (Platichthys stellatus), brown rockfish (Sebastes auriculatus), green sturgeon (Acipenser medirostris; threatened species under Federal ESA), northern anchovy (Engraulis mordax), longfin smelt (Spirinchus thaleichthys, threatened under California ESA), and Pacific sardine (Sardinops sagax). In addition, Dungeness crab (Cancer magister), California halibut (Paralichthys californicus), and white sturgeon (Acipenser transmontanus) also were included because they are substantial contributors to the California State fishery.
To address LTMS priorities, U.S. Geological Survey, Western Ecological Research Center, San Francisco Bay Estuary Field Station (hereafter USGS) conducted a multi-phased project including an initial literature review, study design, pilot study, and implementation of a full study. The overarching goal was to assess the effects of periodic dredge operations (every 1–3 years) on benthic habitat for foraging fish in the Central Bay, with emphasis on the foraging requirements of target fish species and analyses of benthic macroinvertebrates in dredged areas compared to adjacent undredged reference areas. The USGS partnered with University of California, Davis, fisheries expert James Hobbs to synthesize existing knowledge of fish foraging ecology and review benthic infauna community composition in SFB with a focus on the Central Bay. The literature review (Phase I; De La Cruz and others, 2016) addressed key questions identified by the LTMS on benthic foraging fish in the study area, including the following: (1) What are target fish eating? (2) What are the seasonal differences in prey items and macroinvertebrate assemblages? (3) What are the annual differences in prey items and macroinvertebrate assemblages? (4) What are the predominant macroinvertebrate functional groups from the perspective of fish foraging? Phase II consisted of creating a framework for a functional assessment of maintenance dredging effects on foraging fish and drafting a full study design (De La Cruz and others, 2017), which was then tested in the Phase III pilot study. The Phase IV full study incorporated lessons learned from the pilot study. Here we focus on the results of the full study and implications for benthic foraging fishes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201086","usgsCitation":"De La Cruz, S.E.W., Woo, I., Hall, L., Flanagan, A., and Mittelstaedt, H., 2020, Impacts of periodic dredging on macroinvertebrate prey availability for benthic foraging fishes in central San Francisco Bay, California: U.S. Geological Survey Open-File Report 2020–1086, 96 p., https://doi.org/10.3133/ofr20201086.","productDescription":"x, 96 p.","onlineOnly":"Y","ipdsId":"IP-112237","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":378273,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1086/coverthb.jpg"},{"id":378274,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1086/ofr20201086.pdf","text":"Report","size":"13.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1086"}],"country":"United States","state":"California","otherGeospatial":"Central San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.65411376953125,\n 37.75334401310656\n ],\n [\n -122.17346191406249,\n 37.75334401310656\n ],\n [\n -122.17346191406249,\n 37.98317483351337\n ],\n [\n -122.65411376953125,\n 37.98317483351337\n ],\n [\n -122.65411376953125,\n 37.75334401310656\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Predator loss and climate change are hallmarks of the Anthropocene yet their interactive effects are largely unknown. Here, we show that massive calcareous reefs, built slowly by the alga Clathromorphum nereostratum over centuries to millennia, are now declining because of the emerging interplay between these two processes. Such reefs, the structural base of Aleutian kelp forests, are rapidly eroding because of overgrazing by herbivores. Historical reconstructions and experiments reveal that overgrazing was initiated by the loss of sea otters, Enhydra lutris (which gave rise to herbivores capable of causing bioerosion), and then accelerated with ocean warming and acidification (which increased per capita lethal grazing by 34 to 60% compared with preindustrial times). Thus, keystone predators can mediate the ways in which climate effects emerge in nature and the pace with which they alter ecosystems.
","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.aav7515","usgsCitation":"Rasher, D.B., Stenek, R.S., Halfar, J., Kroeker, K.J., Ries, J.B., Tinker, M., Chan, P.T., Fietzke, J., Kamenos, N., Konar, B.H., Lefcheck, J., Norley, C.J., Weitzman, B., Westfield, I.T., and Estes, J.A., 2020, Keystone predators govern the pathway and pace of climate impacts in a subarctic marine ecosystem: Science, v. 369, no. 6509, p. 1351-1354, https://doi.org/10.1126/science.aav7515.","productDescription":"4 p.","startPage":"1351","endPage":"1354","ipdsId":"IP-100982","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":455346,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.gla.ac.uk/224194/","text":"External Repository"},{"id":378562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"369","issue":"6509","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rasher, Douglas B 0000-0002-0212-8070","orcid":"https://orcid.org/0000-0002-0212-8070","contributorId":240938,"corporation":false,"usgs":false,"family":"Rasher","given":"Douglas","email":"","middleInitial":"B","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":799153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stenek, Robert S 0000-0001-6001-3653","orcid":"https://orcid.org/0000-0001-6001-3653","contributorId":240940,"corporation":false,"usgs":false,"family":"Stenek","given":"Robert","email":"","middleInitial":"S","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":799229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halfar, Jochen 0000-0003-4166-9395","orcid":"https://orcid.org/0000-0003-4166-9395","contributorId":240943,"corporation":false,"usgs":false,"family":"Halfar","given":"Jochen","email":"","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":799155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kroeker, Kristy J 0000-0002-5766-1999","orcid":"https://orcid.org/0000-0002-5766-1999","contributorId":240945,"corporation":false,"usgs":false,"family":"Kroeker","given":"Kristy","email":"","middleInitial":"J","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":799156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ries, Justin B. 0000-0001-8427-206X","orcid":"https://orcid.org/0000-0001-8427-206X","contributorId":190128,"corporation":false,"usgs":false,"family":"Ries","given":"Justin","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":799157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tinker, M. Tim 0000-0002-3314-839X","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":214291,"corporation":false,"usgs":true,"family":"Tinker","given":"M. Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":799158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chan, Phoebe T W 0000-0003-2453-0818","orcid":"https://orcid.org/0000-0003-2453-0818","contributorId":240950,"corporation":false,"usgs":false,"family":"Chan","given":"Phoebe","email":"","middleInitial":"T W","affiliations":[{"id":48168,"text":"Univerisity of California","active":true,"usgs":false}],"preferred":false,"id":799159,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fietzke, J 0000-0002-5530-7208","orcid":"https://orcid.org/0000-0002-5530-7208","contributorId":240951,"corporation":false,"usgs":false,"family":"Fietzke","given":"J","email":"","affiliations":[{"id":13697,"text":"GEOMAR Helmholtz Centre for Ocean Research","active":true,"usgs":false}],"preferred":false,"id":799160,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kamenos, Nicolas 0000-0003-3434-0807","orcid":"https://orcid.org/0000-0003-3434-0807","contributorId":240952,"corporation":false,"usgs":false,"family":"Kamenos","given":"Nicolas","affiliations":[{"id":12473,"text":"University of Glasgow","active":true,"usgs":false}],"preferred":false,"id":799161,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Konar, Brenda H. 0000-0002-8998-1612","orcid":"https://orcid.org/0000-0002-8998-1612","contributorId":200787,"corporation":false,"usgs":false,"family":"Konar","given":"Brenda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":799162,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lefcheck, Jonathan S. 0000-0002-8787-1786","orcid":"https://orcid.org/0000-0002-8787-1786","contributorId":205448,"corporation":false,"usgs":false,"family":"Lefcheck","given":"Jonathan S.","affiliations":[{"id":37107,"text":"Bigelow Laboratory for Ocean Science, East Boothbay, ME","active":true,"usgs":false}],"preferred":false,"id":799163,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Norley, Christopher J D 0000-0001-8891-3434","orcid":"https://orcid.org/0000-0001-8891-3434","contributorId":240953,"corporation":false,"usgs":false,"family":"Norley","given":"Christopher","email":"","middleInitial":"J D","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":799164,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weitzman, Ben 0000-0001-7559-3654","orcid":"https://orcid.org/0000-0001-7559-3654","contributorId":214292,"corporation":false,"usgs":true,"family":"Weitzman","given":"Ben","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":799165,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Westfield, Isaac T","contributorId":240954,"corporation":false,"usgs":false,"family":"Westfield","given":"Isaac","email":"","middleInitial":"T","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":799166,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Estes, James A. 0000-0002-3632-4555 jim_estes@usgs.gov","orcid":"https://orcid.org/0000-0002-3632-4555","contributorId":240955,"corporation":false,"usgs":false,"family":"Estes","given":"James","email":"jim_estes@usgs.gov","middleInitial":"A.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":799167,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70220321,"text":"70220321 - 2020 - Lead speciation, bioaccessibility and source attribution in Missouri's Big River watershed","interactions":[],"lastModifiedDate":"2021-05-06T11:47:35.150072","indexId":"70220321","displayToPublicDate":"2020-09-11T06:43:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Lead speciation, bioaccessibility and source attribution in Missouri's Big River watershed","docAbstract":"The Southeast Missouri Lead District is among the most productive lead deposits exploited in modern times. Intensive mining conducted prior to regulations resulted in a legacy of lead contaminated soil, large piles of mine tailings and elevated childhood blood lead levels. This study seeks to identify the source of the lead contamination in the Big River and inform risk to the public. Isotopic analysis indicated the mine tailing piles at the head of the Big River are the primary source of the lead contamination. The isotopic signature of the lead in these mine tailings matched the lead over 100 km downstream. All of the other potential lead sources investigated had different isotopic signatures. Lead concentrations in soils and sediments decrease with distance downstream of the mine tailings piles. Additionally, the speciation of the lead changes from predominantly mineralized forms, such as galena, to adsorbed lead. This is reflected in the in-vitro bioaccessibility assay (IVBA) analysis which shows higher bioaccessibility further downstream, demonstrating the importance of speciation in risk evaluation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104757","usgsCitation":"Noerpel, M., Pribil, M., Rutherford, D., Law, P., Bradham, K., Nelson, C., Weber, R., Gunn, G., and Scheckel, K.G., 2020, Lead speciation, bioaccessibility and source attribution in Missouri's Big River watershed: Applied Geochemistry, v. 123, 104757, 11 p., https://doi.org/10.1016/j.apgeochem.2020.104757.","productDescription":"104757, 11 p.","ipdsId":"IP-115151","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":455349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7787989","text":"Publisher Index Page"},{"id":385438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Big River watershed","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.545006,36.336809],[-89.605668,36.342234],[-89.615841,36.336085],[-89.620255,36.323006],[-89.611819,36.309088],[-89.578492,36.288317],[-89.554289,36.277751],[-89.539487,36.277368],[-89.534507,36.261802],[-89.539229,36.248821],[-89.562206,36.250909],[-89.577544,36.242262],[-89.602374,36.238106],[-89.642182,36.249486],[-89.678046,36.248284],[-89.695235,36.252766],[-89.705328,36.239898],[-89.69263,36.224959],[-89.607004,36.171179],[-89.591605,36.144096],[-89.59307,36.129699],[-89.601936,36.11947],[-89.666598,36.095802],[-89.678821,36.084636],[-89.688577,36.029238],[-89.706932,36.000981],[-90.37789,35.995683],[-90.351732,36.025347],[-90.34909,36.040131],[-90.339343,36.047112],[-90.333261,36.067504],[-90.320746,36.071326],[-90.320662,36.087138],[-90.29991,36.098236],[-90.294492,36.112949],[-90.266256,36.120559],[-90.235585,36.139474],[-90.231386,36.147348],[-90.23537,36.159153],[-90.220425,36.184764],[-90.21128,36.183392],[-90.188189,36.20536],[-90.152497,36.215582],[-90.14224,36.227522],[-90.126366,36.229367],[-90.130114,36.240307],[-90.118219,36.253491],[-90.114922,36.265595],[-90.086471,36.271531],[-90.06398,36.303038],[-90.081961,36.322097],[-90.074074,36.342895],[-90.077695,36.348478],[-90.066297,36.3593],[-90.064514,36.382085],[-90.078671,36.399116],[-90.138512,36.413952],[-90.134231,36.422827],[-90.143743,36.424433],[-90.143798,36.428483],[-90.134136,36.436602],[-90.137323,36.455411],[-90.141101,36.461791],[-90.155804,36.463555],[-90.152888,36.47093],[-90.142222,36.470554],[-90.143683,36.476029],[-90.158838,36.479558],[-90.159305,36.492446],[-90.152481,36.497952],[-94.617919,36.499414],[-94.617975,37.722176],[-94.607354,39.113444],[-94.589933,39.140403],[-94.591933,39.155003],[-94.608834,39.160503],[-94.640035,39.153103],[-94.662435,39.157603],[-94.663835,39.179103],[-94.680336,39.184303],[-94.714137,39.170403],[-94.741938,39.170203],[-94.763138,39.179903],[-94.781518,39.206146],[-94.811663,39.206594],[-94.831679,39.215938],[-94.835056,39.220658],[-94.825663,39.241729],[-94.831471,39.256273],[-94.84632,39.268481],[-94.887056,39.28648],[-94.905329,39.311952],[-94.910017,39.352543],[-94.88136,39.370383],[-94.879281,39.37978],[-94.885026,39.389801],[-94.901823,39.392798],[-94.92311,39.384492],[-94.942039,39.389499],[-94.946293,39.405646],[-94.972952,39.421705],[-94.982144,39.440552],[-95.0375,39.463689],[-95.045716,39.472459],[-95.052177,39.499996],[-95.082714,39.516712],[-95.109304,39.542285],[-95.113077,39.559133],[-95.103228,39.577783],[-95.089515,39.581028],[-95.064519,39.577115],[-95.049277,39.589583],[-95.046361,39.599557],[-95.055152,39.621657],[-95.053367,39.630347],[-95.027644,39.665454],[-95.018318,39.672869],[-94.984149,39.67785],[-94.971317,39.68641],[-94.971206,39.729305],[-94.965318,39.739065],[-94.948726,39.745593],[-94.902612,39.724202],[-94.875643,39.730494],[-94.862943,39.742994],[-94.860743,39.763094],[-94.869644,39.772894],[-94.912293,39.759338],[-94.934262,39.773642],[-94.935206,39.78313],[-94.929654,39.788282],[-94.884084,39.794234],[-94.875944,39.813294],[-94.878677,39.826522],[-94.886933,39.833098],[-94.916918,39.836138],[-94.942567,39.856602],[-94.928466,39.876344],[-94.929574,39.888754],[-94.95154,39.900533],[-94.986975,39.89667],[-95.00844,39.900596],[-95.024389,39.891202],[-95.027931,39.871522],[-95.037767,39.865542],[-95.085003,39.861883],[-95.128166,39.874165],[-95.140601,39.881688],[-95.143802,39.901918],[-95.149657,39.905948],[-95.179453,39.900062],[-95.199347,39.902709],[-95.206326,39.912121],[-95.20069,39.928155],[-95.204428,39.938949],[-95.250254,39.948644],[-95.269886,39.969396],[-95.302507,39.984357],[-95.315271,40.01207],[-95.356876,40.031522],[-95.387195,40.02677],[-95.40726,40.033112],[-95.416824,40.043235],[-95.42164,40.058952],[-95.409856,40.07432],[-95.407591,40.09803],[-95.394216,40.108263],[-95.39284,40.115887],[-95.398667,40.126419],[-95.428749,40.135577],[-95.436348,40.15872],[-95.460746,40.169173],[-95.479193,40.185652],[-95.482757,40.197346],[-95.469718,40.227908],[-95.477501,40.24272],[-95.490333,40.248966],[-95.521925,40.24947],[-95.552473,40.261904],[-95.556325,40.267714],[-95.550966,40.285947],[-95.562157,40.297359],[-95.581787,40.29958],[-95.610439,40.31397],[-95.642262,40.306025],[-95.657328,40.310856],[-95.653729,40.322582],[-95.625204,40.334288],[-95.623728,40.346567],[-95.641027,40.366399],[-95.643934,40.386849],[-95.659134,40.40869],[-95.65819,40.44188],[-95.693133,40.469396],[-95.699969,40.505275],[-95.661687,40.517309],[-95.652262,40.538114],[-95.655848,40.546609],[-95.671754,40.562626],[-95.678718,40.56256],[-95.694147,40.556942],[-95.69505,40.533124],[-95.708591,40.521551],[-95.722444,40.528118],[-95.75711,40.52599],[-95.769281,40.536656],[-95.763366,40.550797],[-95.773549,40.578205],[-95.765645,40.585208],[-94.632035,40.571186],[-94.080463,40.572899],[-92.689854,40.589884],[-91.729115,40.61364],[-91.716769,40.59853],[-91.686357,40.580875],[-91.690804,40.559893],[-91.681714,40.553035],[-91.6219,40.542292],[-91.618028,40.53403],[-91.621353,40.510072],[-91.590817,40.492292],[-91.574746,40.465664],[-91.52509,40.457845],[-91.524053,40.448437],[-91.533623,40.43832],[-91.519935,40.433673],[-91.526555,40.419872],[-91.522333,40.409648],[-91.498093,40.401926],[-91.489816,40.404317],[-91.484507,40.3839],[-91.465116,40.385257],[-91.465009,40.376223],[-91.452458,40.375501],[-91.441243,40.386255],[-91.419422,40.378264],[-91.444833,40.36317],[-91.46214,40.342414],[-91.492727,40.278217],[-91.490524,40.259498],[-91.505828,40.238839],[-91.505495,40.195606],[-91.512974,40.181062],[-91.508224,40.157665],[-91.510322,40.127994],[-91.489606,40.057435],[-91.494878,40.036453],[-91.465315,39.983995],[-91.41936,39.927717],[-91.41988,39.916533],[-91.443513,39.893583],[-91.446922,39.883034],[-91.436051,39.84551],[-91.377971,39.811273],[-91.361571,39.787548],[-91.370009,39.732524],[-91.3453,39.709402],[-91.27614,39.665759],[-91.229317,39.620853],[-91.181936,39.602677],[-91.174651,39.593313],[-91.168419,39.564928],[-91.153628,39.548248],[-91.100307,39.538695],[-91.079769,39.507728],[-91.064305,39.494643],[-91.059439,39.46886],[-91.03827,39.448436],[-90.993789,39.422959],[-90.940766,39.403984],[-90.928745,39.387544],[-90.904862,39.379403],[-90.893777,39.367343],[-90.8475,39.345272],[-90.816851,39.320496],[-90.793461,39.309498],[-90.751599,39.265432],[-90.72996,39.255894],[-90.717113,39.213912],[-90.707902,39.15086],[-90.686051,39.117785],[-90.681086,39.10059],[-90.681994,39.090066],[-90.712541,39.057064],[-90.71158,39.046798],[-90.678193,38.991851],[-90.675949,38.96214],[-90.657254,38.92027],[-90.639917,38.908272],[-90.625122,38.888654],[-90.583388,38.86903],[-90.555693,38.870785],[-90.500117,38.910408],[-90.486974,38.925982],[-90.482419,38.94446],[-90.472122,38.958838],[-90.440078,38.967364],[-90.395816,38.960037],[-90.309454,38.92412],[-90.250248,38.919344],[-90.109407,38.843548],[-90.123107,38.798048],[-90.166409,38.772649],[-90.176309,38.754449],[-90.20991,38.72605],[-90.20921,38.70275],[-90.18641,38.67475],[-90.181325,38.660381],[-90.17801,38.63375],[-90.18451,38.611551],[-90.196011,38.594451],[-90.222112,38.576451],[-90.260314,38.528352],[-90.285215,38.443453],[-90.295316,38.426753],[-90.349743,38.377609],[-90.368219,38.340254],[-90.373929,38.281853],[-90.353902,38.213855],[-90.331554,38.18758],[-90.290765,38.170453],[-90.274928,38.157615],[-90.243116,38.112669],[-90.218708,38.094365],[-90.17222,38.069636],[-90.158533,38.074735],[-90.130788,38.062341],[-90.126612,38.043981],[-90.11052,38.026547],[-90.08826,38.015772],[-90.059367,38.015543],[-90.051357,38.003584],[-90.03241,37.995258],[-90.00011,37.964563],[-89.978919,37.962791],[-89.942099,37.970121],[-89.933797,37.959143],[-89.925085,37.960021],[-89.932467,37.947497],[-89.959646,37.940196],[-89.974918,37.926719],[-89.952499,37.883218],[-89.923185,37.870672],[-89.901832,37.869822],[-89.844786,37.905572],[-89.799333,37.881517],[-89.796087,37.859505],[-89.786369,37.851734],[-89.782035,37.855092],[-89.739873,37.84693],[-89.71748,37.825724],[-89.669644,37.799922],[-89.660227,37.781032],[-89.667993,37.759484],[-89.665546,37.752095],[-89.64953,37.745498],[-89.617278,37.74972],[-89.612478,37.740036],[-89.596566,37.732886],[-89.583316,37.713261],[-89.516685,37.692762],[-89.51204,37.680985],[-89.517718,37.641217],[-89.478399,37.598869],[-89.47603,37.590226],[-89.486062,37.580853],[-89.519808,37.582748],[-89.521925,37.560735],[-89.517051,37.537278],[-89.475525,37.471388],[-89.439769,37.4372],[-89.421054,37.387668],[-89.432836,37.347056],[-89.489005,37.333368],[-89.511842,37.310825],[-89.51834,37.285497],[-89.489915,37.251315],[-89.470525,37.253357],[-89.458827,37.248661],[-89.467631,37.2182],[-89.456105,37.18812],[-89.42558,37.138235],[-89.37871,37.094586],[-89.375712,37.080505],[-89.384681,37.048251],[-89.362397,37.030156],[-89.322982,37.01609],[-89.29213,36.992189],[-89.278628,36.98867],[-89.263527,37.00005],[-89.257608,37.015496],[-89.260003,37.023288],[-89.304752,37.047565],[-89.310819,37.057897],[-89.30829,37.068371],[-89.259936,37.064071],[-89.25493,37.072014],[-89.234053,37.037277],[-89.200793,37.016164],[-89.192097,36.979995],[-89.185491,36.973518],[-89.170008,36.970298],[-89.125069,36.983499],[-89.109498,36.976563],[-89.099594,36.964543],[-89.100762,36.944002],[-89.117567,36.887356],[-89.131944,36.857437],[-89.137969,36.847349],[-89.1704,36.841522],[-89.178888,36.831368],[-89.179229,36.812915],[-89.171069,36.798119],[-89.155891,36.789126],[-89.12353,36.785309],[-89.116563,36.767557],[-89.126134,36.751735],[-89.166888,36.759633],[-89.184523,36.753638],[-89.197808,36.739412],[-89.19948,36.716045],[-89.169522,36.688878],[-89.169467,36.674596],[-89.15908,36.666352],[-89.197654,36.628936],[-89.202607,36.601576],[-89.217447,36.576159],[-89.236542,36.566824],[-89.258318,36.564948],[-89.278935,36.577699],[-89.326731,36.632186],[-89.365548,36.625059],[-89.375453,36.615719],[-89.382762,36.583603],[-89.41977,36.493896],[-89.448468,36.46442],[-89.464153,36.457189],[-89.486215,36.46162],[-89.494248,36.475972],[-89.465888,36.529946],[-89.467761,36.546847],[-89.479093,36.568206],[-89.500076,36.576305],[-89.542459,36.580566],[-89.566817,36.564216],[-89.571241,36.547343],[-89.560344,36.525436],[-89.519501,36.475419],[-89.523427,36.456572],[-89.543406,36.43877],[-89.545255,36.427079],[-89.509722,36.373626],[-89.519,36.3486],[-89.545006,36.336809]]]},\"properties\":{\"name\":\"Missouri\",\"nation\":\"USA \"}}]}","volume":"123","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Noerpel, Matthew","contributorId":257855,"corporation":false,"usgs":false,"family":"Noerpel","given":"Matthew","email":"","affiliations":[{"id":52137,"text":"United States Environmental Protection Agency, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":815152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":815153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rutherford, Danny 0000-0003-1013-8006","orcid":"https://orcid.org/0000-0003-1013-8006","contributorId":201857,"corporation":false,"usgs":true,"family":"Rutherford","given":"Danny","email":"","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":815154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Law, Preston","contributorId":257856,"corporation":false,"usgs":false,"family":"Law","given":"Preston","email":"","affiliations":[{"id":52138,"text":"United States Environmental Protection Agency, Region 7","active":true,"usgs":false}],"preferred":false,"id":815155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradham, Karen","contributorId":257857,"corporation":false,"usgs":false,"family":"Bradham","given":"Karen","email":"","affiliations":[{"id":52137,"text":"United States Environmental Protection Agency, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":815156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Clay","contributorId":257858,"corporation":false,"usgs":false,"family":"Nelson","given":"Clay","email":"","affiliations":[{"id":52137,"text":"United States Environmental Protection Agency, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":815157,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weber, Rob","contributorId":257859,"corporation":false,"usgs":false,"family":"Weber","given":"Rob","email":"","affiliations":[{"id":52138,"text":"United States Environmental Protection Agency, Region 7","active":true,"usgs":false}],"preferred":false,"id":815158,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gunn, Gene","contributorId":257860,"corporation":false,"usgs":false,"family":"Gunn","given":"Gene","email":"","affiliations":[{"id":52138,"text":"United States Environmental Protection Agency, Region 7","active":true,"usgs":false}],"preferred":false,"id":815159,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scheckel, Kirk G.","contributorId":167121,"corporation":false,"usgs":false,"family":"Scheckel","given":"Kirk","email":"","middleInitial":"G.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":815160,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70213119,"text":"gip206 - 2020 - 40 years strong—Long-time Geoscience Australia, U.S. Geological Survey (USGS) partnership benefits both agencies and the world","interactions":[],"lastModifiedDate":"2020-09-11T12:22:08.358003","indexId":"gip206","displayToPublicDate":"2020-09-10T13:24:01","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"206","displayTitle":"40 Years Strong—Long-Time Geoscience Australia, U.S. Geological Survey (USGS) Partnership Benefits both Agencies and the World","title":"40 years strong—Long-time Geoscience Australia, U.S. Geological Survey (USGS) partnership benefits both agencies and the world","docAbstract":"In 1979, the Australian Government chose the city of Alice Springs to host a Landsat Ground Station because of its location in central Australia. This location enables satellite coverage of the entire Australian continent. Its antennas have played a key role in supporting international satellite programs over more than 40 years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip206","usgsCitation":"U.S. Geological Survey, 2020, 40 years strong—Long-time Geoscience Australia, U.S. Geological Survey (USGS) partnership benefits both agencies and the world: U.S. Geological Survey General Information Product 206, 2 p., https://doi.org/10.3133/gip206.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-119082","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":378285,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0206/coverthb.jpg"},{"id":378286,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0206/gip206.pdf","text":"Report","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 206"}],"contact":"Director, Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252d Street
Sioux Falls, SD 57198
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 512 billion cubic feet of gas in the Upper Jurassic–Neogene Total Petroleum System of the Sacramento Basin Province in California.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203036","usgsCitation":"Schenk, C.J., Mercier, T.J., Tennyson, M.E., Woodall, C.A., Marra, K.R., Leathers-Miller, H.M., and Le, P.A., 2020, Assessment of undiscovered gas resources of the Sacramento Basin Province in California, 2019: U.S. Geological Survey Fact Sheet 2020–3036, 4 p., https://doi.org/10.3133/fs20203036.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"N","ipdsId":"IP-111438","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":378187,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DV3EZN","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project - Sacramento Basin, Conventional and Continuous Assessment Unit Boundaries and Assessment Input Data Forms"},{"id":378186,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3036/fs20203036.pdf","text":"Report","size":"1.32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3036"},{"id":378185,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3036/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.981689453125,\n 37.61423141542417\n ],\n [\n -120.498046875,\n 39.01064750994083\n ],\n [\n -121.51977539062499,\n 39.825413103424786\n ],\n [\n -121.871337890625,\n 40.3130432088809\n ],\n [\n -121.97021484374999,\n 40.805493843894155\n ],\n [\n -122.6953125,\n 40.622291783092706\n ],\n [\n -122.958984375,\n 40.36328834091583\n ],\n [\n -122.51953124999999,\n 39.884450178234395\n ],\n [\n -122.59643554687499,\n 39.30029918615029\n ],\n [\n -122.091064453125,\n 38.66835610151506\n ],\n [\n -121.58569335937501,\n 37.97884504049713\n ],\n [\n -121.22314453124999,\n 37.640334898059486\n ],\n [\n -120.95947265624999,\n 37.448696585910376\n ],\n [\n -119.981689453125,\n 37.61423141542417\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Natural reproduction of pallid sturgeon Scaphirhynchus albus has been limited for decades and a recruitment bottleneck is hypothesized to occur during the larval stage of development. In this study, we evaluated the effects of water velocity and temperature on the swimming activity, energy use, settling behaviour and mortality of endogenously feeding larvae. The swimming activity of drifting sturgeon larvae (i.e., fish exhibiting negative rheotaxis) increased at low water velocity. In subsequent experiments, we observed greater energy depletion and resultant mortality of larvae in no-flow environments (0 cm s−1) compared to tanks with water velocity ranging from 3.5 to 8.3 cm s−1. The growth rate of drifting larvae was positively related to water temperature (18.7–23.3°C), but reduced growth rate at low water temperature (18.7°C) resulted in protracted development that extended average drift duration by ~4 days compared to larvae reared at 23.3°C. This study provides evidence that cooler summer water temperatures, characteristic of present-day conditions in the upper Missouri River, can reduce larval development and extend both the drift duration and distance requirements of S. albus. Moreover, if dispersed into low velocity environments, such as in reservoir headwaters, larvae may experience increased mortality owing to a mismatch between early life stage drift requirements and habitat conditions in the river. Manipulation of water releases to increase seasonal water temperature below dams may aid survival of S. albus larvae by shortening the time and distance spent drifting.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.14532","usgsCitation":"Mrnak, J.T., Heironimus, L., James, D., and Chipps, S.R., 2020, Effect of water velocity and temperature on energy use, behaviour and mortality of pallid sturgeon Scaphirhynchus albus larvae: Journal of Fish Biology, v. 97, no. 6, p. 1690-1700, https://doi.org/10.1111/jfb.14532.","productDescription":"11 p.","startPage":"1690","endPage":"1700","ipdsId":"IP-115757","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":455351,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1804961","text":"Publisher Index Page"},{"id":395772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Mrnak, Joseph T.","contributorId":275764,"corporation":false,"usgs":false,"family":"Mrnak","given":"Joseph","email":"","middleInitial":"T.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":834270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heironimus, Laura B.","contributorId":275765,"corporation":false,"usgs":false,"family":"Heironimus","given":"Laura B.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":834271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"James, Daniel A.","contributorId":275768,"corporation":false,"usgs":false,"family":"James","given":"Daniel A.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834269,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70214559,"text":"70214559 - 2020 - Relative toxicity and sublethal effects of NaCl and energy-related saline wastewaters on prairie amphibians","interactions":[],"lastModifiedDate":"2020-09-30T14:35:04.610879","indexId":"70214559","displayToPublicDate":"2020-09-10T09:32:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Relative toxicity and sublethal effects of NaCl and energy-related saline wastewaters on prairie amphibians","docAbstract":"Increasing salinity in freshwater environments is a growing problem due both to the negative influences of salts on ecosystems and their accumulation and persistence in environments. Two major sources of increased salinity from sodium chloride salts (NaCl) are saline wastewaters co-produced during energy production (herein, wastewaters) and road salts. Effects of road salts have received more attention, but legacy contamination from wastewaters is widespread in some regions and spills still occur. Amphibians are sensitive to contaminants, including NaCl, because of their porous skin and osmoregulatory adaptations to freshwater. However, similarities and differences between effects of wastewaters and road salts have not been investigated. Therefore, we investigated the relative influence of wastewaters and NaCl at equivalent concentrations of chloride on three larval amphibian species that occur in areas with increased salinity. We determined acute toxicity and growth effects on Boreal Chorus Frogs (Pseudacris maculata), Northern Leopard Frogs (Rana pipiens), and Barred Tiger Salamanders (Ambystoma mavortium). We posited that wastewaters would have additive effects on amphibians compared to NaCl because wastewaters often have additional toxic heavy metals and other contaminants. For NaCl, toxicity was higher for frogs than the salamander. Toxicity of wastewaters was also similar between chorus and leopard frogs. Only chorus frog survival was lower when exposed to wastewater compared to NaCl. Mass and length of leopard and chorus frog larvae decreased with increasing salinity after only 96 hours of exposure but did not for tiger salamanders. Size of leopard frogs was lower when exposed to NaCl compared to wastewater. However, growth effects were similar between wastewater and NaCl for chorus frogs. Taken together, our results suggest that previous studies on effects of road salt could inform future studies and management of wastewater-contaminated ecosystems, and vice versa. Nevertheless, effects of road salts and wastewaters may be context-, species-, and trait-specific and require further investigations. The negative influence of salts on imperiled amphibians underscores the need to restore landscapes with increased salinity and reduce future salinization of freshwater ecosystems.
Hydroacoustic surveys using hull-mounted down-looking transducers are useful for estimating pelagic fish densities; however, this method may miss shallow fish owing to the acoustic surface dead zone and vessel avoidance. Our objective was to compare pelagic fish density estimates acquired by a traditional down-looking acoustic survey to estimates obtained by a new multi-directional-towed sled capable of sampling the entire water column using upward-, sideways-, and downward-aimed transducers simultaneously. We deployed both systems concurrently in the western arm of Lake Superior during a period of stable stratification. We found the two survey approaches provided significantly different estimates of fish density in the upper water column layer (~4–9 m below the lake surface) with the sled up-looking transducer providing 56 times higher densities compared to the traditional ship down-looking method. Densities also varied significantly in the 9–14 m layer where densities were 6.2 times higher in the sled survey. Midwater trawl sampling indicated that cisco (Coregonus artedi) and rainbow smelt (Osmerus mordax) were the predominant species occupying the uppermost 14 m of the water column. The two acoustic approaches provided similar results at water column depths >14 m where rainbow smelt and kiyi (Coregonus kiyi) were predominant. Overall, the sled-based method estimates were, on average, 2.5 times higher for the whole water column. Our findings show that the new sled can reduce bias by better sampling the surface dead zone leading to more accurate estimation of pelagic fish densities for both management and research.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.08.010","usgsCitation":"Grow, R.C., Hrabik, T.R., Yule, D., Matthias, B.G., Myers, J., and Abel, C., 2020, Spatial and vertical bias in down-looking ship-based acoustic estimates of fish density in Lake Superior: Lessons learned from multi-directional acoustics: Journal of Great Lakes Research, v. 46, no. 6, p. 1639-1649, https://doi.org/10.1016/j.jglr.2020.08.010.","productDescription":"11 p.","startPage":"1639","endPage":"1649","ipdsId":"IP-114549","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":378452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.0654296875,\n 46.758679967095574\n ],\n [\n -91.95556640625,\n 46.702202151643455\n ],\n [\n -91.62597656249999,\n 46.773730730079386\n ],\n [\n -91.1590576171875,\n 46.9052455464292\n ],\n [\n -90.85693359375,\n 46.97275640318636\n ],\n [\n -90.7745361328125,\n 46.95401192579361\n ],\n [\n -90.703125,\n 46.852678248531106\n ],\n [\n -90.8184814453125,\n 46.73609593770121\n ],\n [\n -90.87890625,\n 46.61548796222358\n ],\n [\n -90.692138671875,\n 46.694667307773116\n ],\n [\n -90.46142578125,\n 46.60039303734547\n ],\n [\n -90.164794921875,\n 46.67582559793001\n ],\n [\n -89.8077392578125,\n 46.84140712700584\n ],\n [\n -89.4342041015625,\n 46.87145819560722\n ],\n [\n -89.14306640625,\n 47.017716353979225\n ],\n [\n -88.9892578125,\n 47.025206001585396\n ],\n [\n -88.78051757812499,\n 47.19344533938292\n ],\n [\n -88.5498046875,\n 47.30903424774781\n ],\n [\n -88.4014892578125,\n 47.409502941311075\n ],\n [\n -88.165283203125,\n 47.491224888201955\n ],\n [\n -87.791748046875,\n 47.51349065484327\n ],\n [\n -87.681884765625,\n 47.4355191531953\n ],\n [\n -87.703857421875,\n 47.364873807434094\n ],\n [\n -87.9180908203125,\n 47.36115300722623\n ],\n [\n -87.91259765625,\n 47.327653995607115\n ],\n [\n -88.1927490234375,\n 47.15984001304432\n ],\n [\n -88.4124755859375,\n 46.93526088057719\n ],\n [\n -88.4564208984375,\n 46.837649560937464\n ],\n [\n -88.17626953125,\n 47.00647991252098\n ],\n [\n -87.659912109375,\n 46.89398546092549\n ],\n [\n -87.34130859375,\n 46.581518465658014\n ],\n [\n -87.2314453125,\n 46.51351558059737\n ],\n [\n -86.923828125,\n 46.55130547880643\n ],\n [\n -86.824951171875,\n 46.43407119942979\n ],\n [\n -86.693115234375,\n 46.57019056757178\n ],\n [\n -86.5997314453125,\n 46.57774276255591\n ],\n [\n -86.55029296875,\n 46.5172957536981\n ],\n [\n -86.1163330078125,\n 46.73609593770121\n ],\n [\n -85.5230712890625,\n 46.721034661295676\n ],\n [\n -84.9847412109375,\n 46.807579571992385\n ],\n [\n -84.9188232421875,\n 46.781254534638606\n ],\n [\n -84.990234375,\n 46.69843486113957\n ],\n [\n -85.001220703125,\n 46.521075663842865\n ],\n [\n -84.8089599609375,\n 46.475699386607516\n ],\n [\n -84.693603515625,\n 46.51351558059737\n ],\n [\n -84.6112060546875,\n 46.51351558059737\n ],\n [\n -84.6112060546875,\n 46.57019056757178\n ],\n [\n -84.5123291015625,\n 46.66828707388311\n ],\n [\n -84.6441650390625,\n 46.68336307047754\n ],\n [\n -84.605712890625,\n 46.837649560937464\n ],\n [\n -84.7210693359375,\n 46.93526088057719\n ],\n [\n -84.8638916015625,\n 46.99524110694593\n ],\n [\n -84.66064453125,\n 47.30903424774781\n ],\n [\n -85.089111328125,\n 47.58023129789275\n ],\n [\n -84.91333007812499,\n 47.931066347509784\n ],\n [\n -85.3857421875,\n 47.90529605906089\n ],\n [\n -85.97351074218749,\n 47.98624517426206\n ],\n [\n -86.46240234375,\n 48.68733411186308\n ],\n [\n -87.022705078125,\n 48.7453232421382\n ],\n [\n -87.703857421875,\n 48.70908786918211\n ],\n [\n -88.17626953125,\n 48.58932584966975\n ],\n [\n -88.890380859375,\n 48.27953734226008\n ],\n [\n -89.285888671875,\n 48.122101028190805\n ],\n [\n -89.5660400390625,\n 47.94946583788702\n ],\n [\n -90.2197265625,\n 47.724544549099676\n ],\n [\n -90.6317138671875,\n 47.635783590864854\n ],\n [\n -91.109619140625,\n 47.33510005753559\n ],\n [\n -91.5765380859375,\n 47.025206001585396\n ],\n [\n -92.0654296875,\n 46.758679967095574\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grow, Ryan C","contributorId":240742,"corporation":false,"usgs":false,"family":"Grow","given":"Ryan","email":"","middleInitial":"C","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":798909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hrabik, Thomas R.","contributorId":35614,"corporation":false,"usgs":false,"family":"Hrabik","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":798910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yule, Daniel L. 0000-0002-0117-5115 dyule@usgs.gov","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":139532,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","email":"dyule@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":798911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matthias, Bryan G.","contributorId":240763,"corporation":false,"usgs":false,"family":"Matthias","given":"Bryan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":798912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Myers, Jared T. 0009-0004-9362-8792","orcid":"https://orcid.org/0009-0004-9362-8792","contributorId":44055,"corporation":false,"usgs":false,"family":"Myers","given":"Jared T.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":798913,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abel, Chad","contributorId":240745,"corporation":false,"usgs":false,"family":"Abel","given":"Chad","email":"","affiliations":[{"id":48137,"text":"Red Cliff Band of Lake Superior Chippewa","active":true,"usgs":false}],"preferred":false,"id":798914,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}