Landslides are common geohazards associated with natural drivers such as precipitation, land degradation, toe erosion by rivers and wave attack, and ground shaking. On the other hand, human alterations such as inundation by water impoundment or rapid drawdown may also destabilize the surrounding slopes. The Guobu slope is an ancient rockslide on the banks of the Laxiwa hydropower station reservoir (China), which reactivated during the reservoir impoundment in 2009. We extracted three-dimensional surface displacements with azimuth and range radar interferometry using European Space Agency's Copernicus Sentinel-1 and German Aerospace Center's TerraSAR-X data during 20152019. The upper part of the Guobu rockslide is characterized by toppling and is mostly subsiding with maximum rates over 0.4 m/yr and 0.7 m/yr in the vertical and horizontal directions, respectively. During filling of the reservoir prior to 2014, there was a long-wavelength in-phase response between rising reservoir level and GPS-observed increased slope movements. After the reservoir water level stabilized from 2015 to 2019, the slide movement became seasonal and we see a correlation between rainfall and landslide movement. These observations suggest that the slide motion is now primarily controlled by rainfall. The spatiotemporal landslide displacements allow us to estimate the hydraulic diffusivity of the rock mass, to be on the order (~1.05 × 10‐7 m2/s) and the thickness of the moving rock mass (~200 m). Our results demonstrate that InSAR is a useful tool for monitoring the rockslide movement as a function of seasonal precipitation.
Phytoplankton provide large quantities of organic carbon and biomolecules that support large river ecosystems. However, when certain groups become overabundant (e.g., cyanobacteria), they can pose a risk to human health and river biota. The purpose of this study was to examine the spatial and temporal dynamics of phytoplankton community composition within the upper Mississippi River. More specifically, we analyzed samples from main channel, impounded, and backwater areas of Navigation Pools 8 and 13 to examine lateral variability within each of these pools. We analyzed samples from the main channel of Pool 26 to examine longitudinal variation among Pools 8, 13, and 26. Phytoplankton and water quality samples were collected during the summer months of 2006–2009. The main channels of Pool 8 and Pool 13 were generally dominated by diatoms, although cyanobacteria were (at times) more abundant. The backwaters were generally dominated by cyanobacteria and typified by flagellated species (e.g., cryptomonads and euglenoids). The main channel of Pool 26 was always dominated by diatoms. Discharge influenced phytoplankton community composition. In Pool 26, taxonomic richness tended to increase with increasing discharge. There were no linear correlations between cyanobacteria total or proportional biovolume and nutrient concentrations, indicating that nutrient limitation was not common. Differences in phytoplankton communities were generally associated with physical factors such as discharge, turbidity, and residence time.
Tropical forests are expected to experience unprecedented warming and increases in hurricane disturbances in the coming decades; yet, our understanding of how these productive systems, especially their belowground component, will respond to the combined effects of varied environmental changes remains empirically limited. Here we evaluated the responses of root dynamics (production, mortality, and biomass) to soil and understory warming (+4°C) and after two consecutive tropical hurricanes in our in situ warming experiment in a tropical forest of Puerto Rico: Tropical Responses to Altered Climate Experiment (TRACE). We collected minirhizotron images from three warmed plots and three control plots of 12 m2. Following Hurricanes Irma and María in September 2017, the infrared heater warming treatment was suspended for repairs, which allowed us to explore potential legacy effects of prior warming on forest recovery. We found that warming significantly reduced root production and root biomass over time. Following hurricane disturbance, both root biomass and production increased substantially across all plots; the root biomass increased 2.8-fold in controls but only 1.6-fold in previously warmed plots. This pattern held true for both herbaceous and woody roots, suggesting that the consistent antecedent warming conditions reduced root capacity to recover following hurricane disturbance. Root production and mortality were both related to soil ammonium nitrogen and microbial biomass nitrogen before and after the hurricanes. This experiment has provided an unprecedented look at the complex interactive effects of disturbance and climate change on the root component of a tropical forested ecosystem. A decrease in root production in a warmer world and slower root recovery after a major hurricane disturbance, as observed here, are likely to have longer-term consequences for tropical forest responses to future global change.
Two datasets containing the first complete estimates of reach-scale nutrient, water use, dissolved oxygen, and pH conditions for the Pacific drainages of the United States were created to help inform water-quality management decisions in that region. The datasets were developed using easily obtainable watershed data, most of which have not been available until recently, and the techniques that were used provide a framework for integrating watershed data to assess water-quality impairment across other large hydrologic regions in the United States. These datasets were used to summarize regional nutrient and water-use conditions within impaired water bodies and to summarize regional dissolved oxygen concentrations and pH conditions for free-flowing stream reaches. Two examples are also presented that show how the datasets can be applied to specific water-quality management issues: (1) nutrient conditions in water bodies that have recently experienced problems with harmful algal blooms; and (2) dissolved oxygen and pH conditions in stream reaches likely to be populated by steelhead trout (Oncorhynchus mykiss irideus) during their summer run. The nutrient and water-use estimates could help inform actions aimed at managing water-quality conditions in impaired water bodies while the dissolved oxygen and pH predictions could be useful as screening tools to identify water bodies experiencing potential impairment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215087","programNote":"National Water Quality Program","usgsCitation":"Wise, D.R., 2021, Using regional watershed data to assess water-quality impairment in the Pacific Drainages of the United States: U.S. Geological Survey Scientific Investigations Report 2021–5087, 29 p., https://doi.org/10.3133/sir20215087.","productDescription":"vii, 29 p.","onlineOnly":"Y","ipdsId":"IP-123766","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":436221,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B3BQOW","text":"USGS data release","linkHelpText":"Reach-scale estimates of nutrient, water use, dissolved oxygen, and pH conditions in the Pacific drainages of the United States"},{"id":388699,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5087/coverthb.jpg"},{"id":388700,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5087/sir20215087.pdf","text":"Report","size":"6.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5087"}],"country":"United States","state":"California, Idaho, Montana, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.958984375,\n 49.03786794532644\n ],\n [\n -123.04687499999999,\n 48.545705491847464\n ],\n [\n -124.541015625,\n 48.48748647988415\n ],\n [\n -124.93652343749999,\n 48.28319289548349\n ],\n [\n -124.23339843749999,\n 46.76996843356982\n ],\n [\n -124.18945312500001,\n 45.42929873257377\n ],\n [\n -124.71679687499999,\n 43.83452678223682\n ],\n [\n -124.76074218749999,\n 42.5530802889558\n ],\n [\n -124.49707031249999,\n 41.47566020027821\n ],\n [\n -124.71679687499999,\n 40.34654412118006\n ],\n [\n -124.18945312500001,\n 39.639537564366684\n ],\n [\n -123.96972656249999,\n 38.993572058209466\n ],\n [\n -123.00292968749999,\n 38.03078569382294\n ],\n [\n -122.03613281249999,\n 36.27970720524017\n ],\n [\n -121.025390625,\n 35.02999636902566\n ],\n [\n -120.4541015625,\n 34.34343606848294\n ],\n [\n -118.91601562499999,\n 34.05265942137599\n ],\n [\n -117.68554687499999,\n 33.46810795527896\n ],\n [\n -117.20214843749999,\n 32.54681317351514\n ],\n [\n -116.4111328125,\n 32.62087018318113\n ],\n [\n -116.54296874999999,\n 33.211116472416855\n ],\n [\n -117.6416015625,\n 34.08906131584994\n ],\n [\n -118.0810546875,\n 34.23451236236987\n ],\n [\n -118.21289062499999,\n 35.96022296929667\n ],\n [\n -118.91601562499999,\n 36.70365959719456\n ],\n [\n -119.970703125,\n 37.92686760148135\n ],\n [\n -120.41015624999999,\n 38.61687046392973\n ],\n [\n -120.58593749999999,\n 39.470125122358176\n ],\n [\n -120.58593749999999,\n 40.27952566881291\n ],\n [\n -121.11328124999999,\n 41.07935114946899\n ],\n [\n -121.6845703125,\n 42.35854391749705\n ],\n [\n -121.59667968749999,\n 42.94033923363181\n ],\n [\n -121.46484375,\n 43.96119063892024\n ],\n [\n -121.11328124999999,\n 44.77793589631623\n ],\n [\n -120.2783203125,\n 44.33956524809713\n ],\n [\n -119.4873046875,\n 43.8028187190472\n ],\n [\n -118.69628906249999,\n 42.5530802889558\n ],\n [\n -118.0810546875,\n 41.83682786072714\n ],\n [\n -117.158203125,\n 41.07935114946899\n ],\n [\n -116.1474609375,\n 40.78054143186033\n ],\n [\n -114.2138671875,\n 41.343824581185686\n ],\n [\n -113.466796875,\n 42.00032514831621\n ],\n [\n -111.884765625,\n 42.35854391749705\n ],\n [\n -111.005859375,\n 42.4234565179383\n ],\n [\n -109.6875,\n 42.5530802889558\n ],\n [\n -109.4677734375,\n 43.26120612479979\n ],\n [\n -109.951171875,\n 44.05601169578525\n ],\n [\n -110.7861328125,\n 44.55916341529182\n ],\n [\n -112.06054687499999,\n 44.59046718130883\n ],\n [\n -112.8515625,\n 44.43377984606822\n ],\n [\n -113.73046875,\n 45.24395342262324\n ],\n [\n -114.0380859375,\n 45.460130637921004\n ],\n [\n -113.203125,\n 45.73685954736049\n ],\n [\n -112.236328125,\n 46.40756396630067\n ],\n [\n -112.19238281249999,\n 47.39834920035926\n ],\n [\n -113.64257812499999,\n 48.980216985374994\n ],\n [\n -122.958984375,\n 49.03786794532644\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
A plume of ethylene dibromide (EDB) dissolved in groundwater extends northeast from the Bulk Fuels Facility on Kirtland Air Force Base, New Mexico. The leading edge of the EDB plume is upgradient from several water-supply wells. In 2013, the U.S. Geological Survey (USGS), in cooperation with the Albuquerque Bernalillo County Water Utility Authority and the U.S. Air Force, installed four sentinel well nests and two aquifer-test pumping wells between the EDB plume and the water-supply wells to serve as an early warning if the plume travels toward the water-supply wells. Since 2015, the USGS has used submersible pumps to sample the sentinel wells quarterly. In February 2017, the USGS began using dual-membrane passive diffusion bag samplers for quarterly sampling in the wells. To ensure that the passive samplers are obtaining representative samples of the groundwater contaminants, the USGS, in cooperation with the U.S. Air Force, initiated a study in 2019 to compare results from pump sampling and passive samplers and to use vertical profiling to determine the optimal depth for passive sampler placement in the screened interval to better inform long-term monitoring of the site.
Vertical profiling included deploying passive samplers throughout the submerged screened interval of four shallow sentinel wells. After retrieval of the passive samplers, pump samples were collected. The results of analyses of both types of samples were compared. Volatile organic compound results for this study were all below the raised reporting levels, which is a level five times the maximum concentration detected in a blank and determined by an in-depth quality assessment; therefore, this study focused on inorganic constituent results, including major ions, trace elements, and stable isotopes of water, to calculate the relative percent difference (RPD) between the pump and passive sampling method results as a way to determine where passive samplers would be best placed in each of the wells. Several analytes had an RPD of more than plus or minus 50 percent, and several analytes were not within the estimated variability for each sampling method. Additionally, the variability within each sampling method was quantified and compared. Factors that likely contributed to the lack of comparison between each sampling method included temporal variability, flow regime, volume of sample integrated through different aquifer intervals, and reduction/oxidation processes. RPD and method variability were used to determine the intervals within each well with the greatest agreement between sampling methods. Optimal sampling depths for each well were then correlated to the intervals where quarterly sampling has been occurring.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215074","collaboration":"Prepared in cooperation with the U.S. Air Force","usgsCitation":"Travis, R.E., and Wilkins, K., 2021, Comparison of passive and pumped sampling methods for analysis of groundwater quality, Kirtland Air Force Base, Albuquerque, New Mexico, 2019: U.S. Geological Survey Scientific Investigations Report 2021–5074, 51 p., https://doi.org/10.3133/sir20215074.","productDescription":"Report: vii, 51 p.; Dataset","numberOfPages":"64","onlineOnly":"Y","ipdsId":"IP-120403","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":388663,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5074/coverthb.jpg"},{"id":388664,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5074/sir20215074.pdf","text":"Report","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5074"},{"id":388665,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"},{"id":388666,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5074/images"}],"country":"United States","state":"New Mexico","county":"Albuquerque","otherGeospatial":"Kirtland Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.65802001953124,\n 34.928726792983845\n ],\n [\n -106.34765624999999,\n 34.91521472314689\n ],\n [\n -106.336669921875,\n 35.07046911981966\n ],\n [\n -106.6552734375,\n 35.07046911981966\n ],\n [\n -106.65802001953124,\n 34.928726792983845\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
The Big Bend region is located within the heart of the Chihuahan Desert of North America. Within this region, the Rio Grande, referred to as the Rio Bravo in Mexico, is the international border between the United States and Mexico. The area known as the Big Bend is named after the large northerly bend that the river makes before flowing southeast to the Gulf of Mexico. This region is environmentally protected by both countries. Although large binational conservation efforts exist, the physical and ecological characteristics of the river have been substantially altered. Changes in Rio Grande hydrology (the seasonality, magnitude, duration, and variability in streamflow) have resulted in the widespread physical transformation of the river, resulting in the loss of important habitat for native and endangered fish and increased flood risk. U.S. Geological Survey (USGS) scientists, in cooperation with many other government agencies, universities, and non-governmental organizations (NGOs), are working to better understand these changes to inform management of the Rio Grande.
","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213036","collaboration":"Prepared in cooperation with the National Park Service, Utah State University, Sul Ross State University, World Wildlife Fund, Alpine Test Services, Rio Grande Scientific Support Services, and RiversEdge West","usgsCitation":"Dean, D.J., 2021, A river of change—The Rio Grande in the Big Bend region: U.S. Geological Survey Fact Sheet 2021-3036, 4 p., https://doi.org/10.3133/fs20213036.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-119891","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":388703,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3036/fs20213036_spanish.pdf","text":"Report (Spanish version)","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":388702,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3036/fs20213036.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":388701,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3036/covrthb.jpg"}],"country":"Mexico, United States","state":"Texas","otherGeospatial":"Rio Grande, Big Bend Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.51293945312499,\n 28.285033294640684\n ],\n [\n -102.3486328125,\n 28.285033294640684\n ],\n [\n -102.3486328125,\n 29.888280933159265\n ],\n [\n -104.51293945312499,\n 29.888280933159265\n ],\n [\n -104.51293945312499,\n 28.285033294640684\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Conference proceedings, NSG2021 1st conference on hydrogeophysics","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"Near Surface Geoscience 2021","conferenceDate":"Aug 29-Sep 2, 2021","conferenceLocation":"Bordeaux, France","language":"English","publisher":"European Association of Geoscientists & Engineers","doi":"10.3997/2214-4609.202120017","usgsCitation":"Falzone, S., Parker, B.B., Day-Lewis, F., and Slater, L., 2021, Electrical signatures of dual domain mass transfer observed in rock cores, in Conference proceedings, NSG2021 1st conference on hydrogeophysics, Bordeaux, France, Aug 29-Sep 2, 2021, 5 p., https://doi.org/10.3997/2214-4609.202120017.","productDescription":"5 p.","ipdsId":"IP-128600","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":390037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Falzone, S.","contributorId":257359,"corporation":false,"usgs":false,"family":"Falzone","given":"S.","email":"","affiliations":[{"id":52002,"text":"Rutgers University - Newark","active":true,"usgs":false}],"preferred":false,"id":814118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, B. B.","contributorId":173438,"corporation":false,"usgs":false,"family":"Parker","given":"B.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":814119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":814120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slater, L. 0000-0003-0292-746X","orcid":"https://orcid.org/0000-0003-0292-746X","contributorId":247506,"corporation":false,"usgs":false,"family":"Slater","given":"L.","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":814121,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70224542,"text":"70224542 - 2021 - Hydrologic and geomorphic effects on riparian plant species occurrence and encroachment: Remote sensing of 360 km of the Colorado River in Grand Canyon","interactions":[],"lastModifiedDate":"2022-02-02T19:43:31.124891","indexId":"70224542","displayToPublicDate":"2021-08-31T09:57:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic and geomorphic effects on riparian plant species occurrence and encroachment: Remote sensing of 360 km of the Colorado River in Grand Canyon","docAbstract":"A common impact on riparian ecosystem function following river regulation is the expansion and encroachment of riparian plant species in the active river channels and floodplain, which reduces flow of water and suspended sediment between the river, riparian area, and upland ecosystems. We characterized riparian plant species occurrence and quantified encroachment within the dam-regulated Colorado River in Grand Canyon, Arizona, USA. We mapped 10 riparian species with high-resolution multispectral imagery and examined effects of river hydrology and geomorphology on the spatial distribution of plant species and open sand. Analysis spanned an image time-series from 2002-2009-2013; a period when plant species and sand were spatially dynamic, and operations of Glen Canyon Dam included daily hydro-peaking and small episodic controlled flood releases. Plant species occurrence and encroachment rates varied with hydrology, geomorphology, and local species pool. Encroachment was greatest on surfaces frequently inundated by hydro-peaking. Seep willow (Baccharis spp.), tamarisk (Tamarix spp.) and arrowweed (Pluchea sericea) were the primary encroaching woody species. Common reed (Phragmites australis) and horsetail (Equisetum xferrissii) were the primary encroaching herbaceous species. Encroachment composition from 2002 to 2009 was similar to the entire riparian landscape, whereas encroachment from 2009 to 2013 primarily consisted of seep willow and early-colonizing herbaceous species. Emergence of seep willow and arrowweed after burial by sand deposited by controlled floods indicated that those species were resilient to this form of disturbance. Describing patterns of species encroachment is an important step towards designing flow regimes that favor riparian species and ecosystem functions valued by stakeholders.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.2344","usgsCitation":"Durning, L., Sankey, J., Yackulic, C., Grams, P.E., Butterfield, B.J., and Sankey, T.T., 2021, Hydrologic and geomorphic effects on riparian plant species occurrence and encroachment: Remote sensing of 360 km of the Colorado River in Grand Canyon: Ecohydrology, v. 14, no. 8, e2344, 21 p., https://doi.org/10.1002/eco.2344.","productDescription":"e2344, 21 p.","ipdsId":"IP-126711","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":389814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.93920898437499,\n 35.639441068973944\n ],\n [\n -111.33544921874999,\n 35.639441068973944\n ],\n [\n -111.33544921874999,\n 36.94111143010769\n ],\n [\n -113.93920898437499,\n 36.94111143010769\n ],\n [\n -113.93920898437499,\n 35.639441068973944\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Durning, Laura E. 0000-0003-3282-2458","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":177023,"corporation":false,"usgs":false,"family":"Durning","given":"Laura E.","affiliations":[],"preferred":false,"id":823991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":823992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":823993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":823994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":823995,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankey, Temuulen T.","contributorId":173297,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":823996,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227087,"text":"70227087 - 2021 - Demography of the Appalachian Spotted Skunk (Spilogale putorius putorius)","interactions":[],"lastModifiedDate":"2021-12-29T15:25:35.125123","indexId":"70227087","displayToPublicDate":"2021-08-31T09:12:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Demography of the Appalachian Spotted Skunk (Spilogale putorius putorius)","title":"Demography of the Appalachian Spotted Skunk (Spilogale putorius putorius)","docAbstract":"Spilogale putorius (Eastern Spotted Skunk) is a small, secretive carnivore that has substantially declined throughout the eastern United States since the mid-1900s. To better understand the current status of Eastern Spotted Skunks, we studied survival and reproduction of the S. p. putorius (Appalachian Spotted Skunk) subspecies across 4 states in the central and southern Appalachian Mountains from 2014 to 2020. Using encounter histories from 99 radio-collared Appalachian Spotted Skunks in a Kaplan–Meier known-fate survival analysis, we calculated a mean annual adult survival rate of 0.58. We did not find support for this survival rate varying by sex, predator cover (canopy cover and topographic ruggedness), or climate. Compared to estimates of survival from previous research, our data suggest that Appalachian Spotted Skunk survival is intermediate to the S. p. interrupta (Plains Spotted Skunk) and S. p. ambarvalis (Florida Spotted Skunk) subspecies of Eastern Spotted Skunk. We located 11 Appalachian Spotted Skunk natal dens and estimated mean litter size to be 2.8 juveniles per female. We used a Lefkovitch matrix to identify the most important demographic rates and found that adult survivorship had the largest impact on the population growth rate. These results provide important demographic information for future Eastern Spotted Skunk population viability analyses and can serve as a baseline for future comparative assessments of the effects of management interventions on the species.
","language":"English","publisher":"Humboldt Field Research Institute","doi":"10.1656/058.020.0sp1110","usgsCitation":"Butler, A.R., Edelman, A., Eng, R.Y., Harris, S.N., Olfenbuttel, C., Thorne, E., Ford, W., and Jachowski, D.S., 2021, Demography of the Appalachian Spotted Skunk (Spilogale putorius putorius): Southeastern Naturalist, v. 20, no. SP11, p. 95-109, https://doi.org/10.1656/058.020.0sp1110.","productDescription":"15 p.","startPage":"95","endPage":"109","ipdsId":"IP-120641","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":451013,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/111968","text":"External Repository"},{"id":393589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, North Carolina, South Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.03369140625,\n 32.62087018318113\n ],\n [\n -85.10009765625,\n 32.62087018318113\n ],\n [\n -85.10009765625,\n 34.95799531086792\n ],\n [\n -87.03369140625,\n 34.95799531086792\n ],\n [\n -87.03369140625,\n 32.62087018318113\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.462890625,\n 34.542762387234845\n ],\n [\n -80.85937499999999,\n 34.542762387234845\n ],\n [\n -80.85937499999999,\n 36.527294814546245\n ],\n [\n -84.462890625,\n 36.527294814546245\n ],\n [\n -84.462890625,\n 34.542762387234845\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.11181640625,\n 36.61552763134925\n ],\n [\n -78.50830078125,\n 36.61552763134925\n ],\n [\n -78.50830078125,\n 38.92522904714054\n ],\n [\n -82.11181640625,\n 38.92522904714054\n ],\n [\n -82.11181640625,\n 36.61552763134925\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"SP11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Ragheb, Erin Hewett","contributorId":270650,"corporation":false,"usgs":false,"family":"Ragheb","given":"Erin","email":"","middleInitial":"Hewett","affiliations":[],"preferred":false,"id":829653,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Butler, Andrew R.","contributorId":270595,"corporation":false,"usgs":false,"family":"Butler","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":829600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edelman, Andrew J.","contributorId":270596,"corporation":false,"usgs":false,"family":"Edelman","given":"Andrew J.","affiliations":[{"id":56182,"text":"University of West Georgia","active":true,"usgs":false}],"preferred":false,"id":829601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eng, Robin Y. Y.","contributorId":270597,"corporation":false,"usgs":false,"family":"Eng","given":"Robin","email":"","middleInitial":"Y. Y.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":829602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Stephen N.","contributorId":270598,"corporation":false,"usgs":false,"family":"Harris","given":"Stephen","email":"","middleInitial":"N.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":829603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olfenbuttel, Colleen","contributorId":270649,"corporation":false,"usgs":false,"family":"Olfenbuttel","given":"Colleen","email":"","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":829652,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thorne, Emily D.","contributorId":270599,"corporation":false,"usgs":false,"family":"Thorne","given":"Emily D.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":829604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":829599,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jachowski, David S.","contributorId":270600,"corporation":false,"usgs":false,"family":"Jachowski","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":829605,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70230258,"text":"70230258 - 2021 - An updated assessment of status and trend in the distribution of the Cascades frog (Rana cascadae) in Oregon, USA","interactions":[],"lastModifiedDate":"2022-04-06T14:19:46.516429","indexId":"70230258","displayToPublicDate":"2021-08-31T09:11:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"displayTitle":"An updated assessment of status and trend in the distribution of the Cascades frog (Rana cascadae) in Oregon, USA","title":"An updated assessment of status and trend in the distribution of the Cascades frog (Rana cascadae) in Oregon, USA","docAbstract":"Conservation efforts need reliable information concerning the status of a species and their trends to help identify which species are in most need of assistance. We completed a comparative evaluation of the occurrence of breeding for Cascades Frog (Rana cascadae), an amphibian that is being considered for federal protection under the U.S. Endangered Species Act. Specifically, in 2018–2019 we resurveyed 67 sites that were surveyed approximately 15 y prior and fit occupancy models to quantify the distribution of R. cascadae breeding in the Cascade Range, Oregon, USA. Furthermore, we conducted a simulation exercise to assess the power of sampling designs to detect declines in R. cascadae breeding at these sites. Our analysis of field data combined with our simulation results suggests that if there was a decline in the proportion of sites used for R. cascadae breeding in Oregon, it was likely a < 20% decline across our study period. Our results confirm that while R. cascadae detection probabilities are high, methods that allow the sampling process to be explicitly modeled are necessary to reliably track the status of the species. This study demonstrates the usefulness of investing in baseline information and data quality standards to increase capacity to make similar comparisons for other species in a timeframe that meet the needs of land managers and policy makers.
","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Duarte, A., Pearl, C., McCreary, B., Rowe, J., and Adams, M.J., 2021, An updated assessment of status and trend in the distribution of the Cascades frog (Rana cascadae) in Oregon, USA: Herpetological Conservation and Biology, v. 16, no. 2, p. 361-373.","productDescription":"13 p.","startPage":"361","endPage":"373","ipdsId":"IP-127196","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":398216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398175,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol16_issue2.html"}],"country":"United States","state":"Oregon","otherGeospatial":"Cascade Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.398681640625,\n 45.537136680398596\n ],\n [\n -122.82714843749999,\n 44.88701247981298\n ],\n [\n -123.07983398437499,\n 44.07969327425713\n ],\n [\n -123.26660156249999,\n 42.58544425738491\n ],\n [\n -123.145751953125,\n 42.00848901572399\n ],\n [\n -121.61865234375,\n 42.00032514831621\n ],\n [\n -121.77246093750001,\n 42.98053954751642\n ],\n [\n -121.278076171875,\n 44.134913443750726\n ],\n [\n -121.025390625,\n 45.034714778688624\n ],\n [\n -121.124267578125,\n 45.68315803253308\n ],\n [\n -121.57470703125,\n 45.744526980468436\n ],\n [\n -121.871337890625,\n 45.729191061299915\n ],\n [\n -122.398681640625,\n 45.537136680398596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duarte, Adam","contributorId":28492,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":839736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":839737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCreary, Brome 0000-0002-0313-7796 brome_mccreary@usgs.gov","orcid":"https://orcid.org/0000-0002-0313-7796","contributorId":3130,"corporation":false,"usgs":true,"family":"McCreary","given":"Brome","email":"brome_mccreary@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowe, Jennifer 0000-0002-5253-2223 jrowe@usgs.gov","orcid":"https://orcid.org/0000-0002-5253-2223","contributorId":172670,"corporation":false,"usgs":true,"family":"Rowe","given":"Jennifer","email":"jrowe@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":839739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839740,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223672,"text":"70223672 - 2021 - Monitoring native, resident nonsalmonids for the incidence of gas bubble trauma downstream of Snake and Columbia River Dams, 2021","interactions":[],"lastModifiedDate":"2021-09-01T13:49:48.74866","indexId":"70223672","displayToPublicDate":"2021-08-31T08:44:49","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Monitoring native, resident nonsalmonids for the incidence of gas bubble trauma downstream of Snake and Columbia River Dams, 2021","docAbstract":"In 2020, a new spill program was implemented to aid the downstream passage of juvenile \nsalmonids at mainstem dams on the Snake and Columbia rivers. Under this program, the total \ndissolved gas (TDG) cap was increased to 125% and monitoring of native, resident nonsalmonid \n(NRN) fishes for gas bubble trauma (GBT) became a requirement. The primary objective of this \nwork was to measure the incidence and severity of GBT in NRN fishes resulting from increased \njuvenile fish passage spill and associated levels of TDG during the spring spill period. A \nsecondary objective was to measure the incidence of GBT in incidentally collected juvenile \nsalmonids when NRN sample size targets were met. NRN fishes were collected downstream \nfrom Bonneville, McNary, and Ice Harbor dams and examined for the incidence and severity of \nGBT in 2021. Fish were collected at each location weekly (6 April to 17 June) during the spring \nspill period by backpack electrofishing and beach seining. Washington and Oregon state water \nquality agencies established minimum and target sample sizes for monitoring, and in all weeks \nthe minimum sample size of 50 fish was met and in most weeks the target sample size of 100 \nfish was met. Collected fish were examined for GBT according to the criteria and protocol \nestablished for the regional smolt monitoring program (SMP). Overall, GBT incidence and \nseverity rankings were low and did not exceed the thresholds that would have triggered changes \nto the spill program. Using SMP criteria, weekly GBT incidences ranged from 0 to 1.0% \ndownstream from Bonneville Dam, 0 to 6.2% downstream from McNary Dam, and 0 to 1.9% \ndownstream from Ice Harbor Dam. Except for one three-spined stickleback (Gasterosteus \naculeatus) collected downstream of Bonneville Dam, the only NRN species that showed signs of \nGBT was sculpin spp. GBT was observed in sculpin in body locations other than the unpaired \nfins and eyes (i.e., SMP criteria). If GBT incidence in all areas on the fish (i.e., paired fins, \nunpaired fins, eyes, body) are combined, then weekly GBT incidence rates increase and range \nfrom 0 to 4.3% downstream from Bonneville Dam, 0 to 15.4% downstream from McNary Dam, \nand 0 to 4.7% downstream from Ice Harbor Dam. This illustrates the effect of using different \ncriteria to determine the incidence of GBT in NRN fishes. It also shows how the proportion of a \nspecies in a sample that is more prone to show GBT can influence GBT incidence rate. On a \nnumber of occasions, incidental catch of subyearling fall Chinook salmon were examined for \nGBT downstream of Bonneville Dam but none showed any signs. The DG was generally below \n120% and never reached the 125% gas cap during the spring spill season, which may be why \nGBT incidence rates were so low as past research has shown that GBT signs in NRN fishes are \nrelatively low below this TDG level.","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Tiffan, K.F., Smith, C.D., Eller, N.J., and Warren, J.J., 2021, Monitoring native, resident nonsalmonids for the incidence of gas bubble trauma downstream of Snake and Columbia River Dams, 2021, vii, 37 p.","productDescription":"vii, 37 p.","ipdsId":"IP-132589","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":388727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":388710,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/Document.mvc/Viewer/P186658"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.28906250000001,\n 45.43700828867391\n ],\n [\n -118.16894531249999,\n 45.43700828867391\n ],\n [\n -118.16894531249999,\n 46.76996843356982\n ],\n [\n -121.28906250000001,\n 46.76996843356982\n ],\n [\n -121.28906250000001,\n 45.43700828867391\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":220176,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Collin D. 0000-0003-4184-5686 cdsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-4184-5686","contributorId":3111,"corporation":false,"usgs":true,"family":"Smith","given":"Collin","email":"cdsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eller, Nicole Joy 0000-0001-8760-8884","orcid":"https://orcid.org/0000-0001-8760-8884","contributorId":265130,"corporation":false,"usgs":true,"family":"Eller","given":"Nicole","email":"","middleInitial":"Joy","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warren, Joe J. 0000-0001-5632-730X jwarren@usgs.gov","orcid":"https://orcid.org/0000-0001-5632-730X","contributorId":265131,"corporation":false,"usgs":true,"family":"Warren","given":"Joe","email":"jwarren@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822282,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70225618,"text":"70225618 - 2021 - Probabilistic fault displacement hazard assessment (PFDHA) for nuclear installations according to IAEA safety standards","interactions":[],"lastModifiedDate":"2021-10-28T13:41:56.609581","indexId":"70225618","displayToPublicDate":"2021-08-31T08:38:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic fault displacement hazard assessment (PFDHA) for nuclear installations according to IAEA safety standards","docAbstract":"In the last 10 yr, the International Atomic Energy Agency (IAEA) revised its safety standards for site evaluations of nuclear installations in response to emerging fault displacement hazard evaluation practices developed in Member States. New amendments in the revised safety guidance (DS507) explicitly recommend fault displacement hazard assessment, including separate approaches for candidate new sites versus existing sites. If there is insufficient basis to conclusively determine that a fault is not capable of surface displacement at an existing site, then a probabilistic fault displacement hazard analysis (PFDHA) is recommended to better characterize the hazard. This new recommendation has generated the need for the IAEA to provide its Member States with guidance on performing PFDHA, including its formulation and implementation. This article provides an overview of current PFDHA state‐of‐practice for nuclear installations that is consistent with the new IAEA safety standards. We also summarize progress in an ongoing international PFDHA benchmark project that will ultimately provide technical guidance to Member States for conducting site‐specific fault displacement hazard assessments.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120210083","usgsCitation":"Valentini, A., Fukushima, Y., Contri, P., Ono, M., Sakai, T., Thompson, S., Viallet, E., Annaka, T., Chen, R., Moss, R.E., Petersen, M.D., Visini, F., and Youngs, R., 2021, Probabilistic fault displacement hazard assessment (PFDHA) for nuclear installations according to IAEA safety standards: Bulletin of the Seismological Society of America, v. 111, no. 5, p. 2661-2672, https://doi.org/10.1785/0120210083.","productDescription":"12 p.","startPage":"2661","endPage":"2672","ipdsId":"IP-130132","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":391084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Valentini, Alessandro","contributorId":221390,"corporation":false,"usgs":false,"family":"Valentini","given":"Alessandro","email":"","affiliations":[{"id":40356,"text":"Università degli Studi “G. d’Annunzio” di Chieti-Pescara, InGeo Department","active":true,"usgs":false}],"preferred":false,"id":825940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fukushima, Yoshimitsu","contributorId":268149,"corporation":false,"usgs":false,"family":"Fukushima","given":"Yoshimitsu","email":"","affiliations":[{"id":55576,"text":"International Atomic Energy Agency, IAEA, Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":825941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Contri, Paolo","contributorId":268150,"corporation":false,"usgs":false,"family":"Contri","given":"Paolo","email":"","affiliations":[{"id":55576,"text":"International Atomic Energy Agency, IAEA, Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":825942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ono, Masato","contributorId":268151,"corporation":false,"usgs":false,"family":"Ono","given":"Masato","email":"","affiliations":[{"id":55576,"text":"International Atomic Energy Agency, IAEA, Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":825943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sakai, Toshiaki","contributorId":268152,"corporation":false,"usgs":false,"family":"Sakai","given":"Toshiaki","email":"","affiliations":[{"id":55577,"text":"Central Research Institute of Electric Power Industry, Abiko, Japan","active":true,"usgs":false}],"preferred":false,"id":825944,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Stephen","contributorId":202211,"corporation":false,"usgs":false,"family":"Thompson","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":825945,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Viallet, Emmanuel","contributorId":268153,"corporation":false,"usgs":false,"family":"Viallet","given":"Emmanuel","email":"","affiliations":[{"id":55578,"text":"Électricité de France, Paris, France","active":true,"usgs":false}],"preferred":false,"id":825946,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Annaka, Tadashi","contributorId":268154,"corporation":false,"usgs":false,"family":"Annaka","given":"Tadashi","email":"","affiliations":[{"id":55579,"text":"Tokyo Electric Power Services Company, Ltd., Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":825947,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, Rui","contributorId":187504,"corporation":false,"usgs":false,"family":"Chen","given":"Rui","email":"","affiliations":[],"preferred":false,"id":825948,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moss, Robb E. S.","contributorId":211466,"corporation":false,"usgs":false,"family":"Moss","given":"Robb","email":"","middleInitial":"E. S.","affiliations":[{"id":38253,"text":"California Polytechnic State Univ","active":true,"usgs":false}],"preferred":false,"id":825949,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":825950,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Visini, Francesco","contributorId":221392,"corporation":false,"usgs":false,"family":"Visini","given":"Francesco","email":"","affiliations":[{"id":40358,"text":"Istituto Nazionale di Geofisica e Vulcanologia, sezione di Pisa","active":true,"usgs":false}],"preferred":false,"id":825951,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Youngs, Robert","contributorId":140544,"corporation":false,"usgs":false,"family":"Youngs","given":"Robert","affiliations":[],"preferred":false,"id":825952,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70225643,"text":"70225643 - 2021 - Acoustic interaction between a pair of owls and a wolf","interactions":[],"lastModifiedDate":"2021-10-29T13:45:59.520529","indexId":"70225643","displayToPublicDate":"2021-08-31T08:34:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic interaction between a pair of owls and a wolf","docAbstract":"During summer 2019, we recorded an apparent vocal interaction, lasting just under 4 min, between a pair of Great Horned Owls (Bubo virginianus) and a gray wolf (Canis lupus) in Yellowstone National Park. To our knowledge, this is the first report of such an acoustic interaction in the scientific literature. The increased use of passive acoustic recorders, which record spontaneous vocalizations emitted by animals over long periods, will allow us to better document and study the importance of such interspecific interactions.
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","usgsCitation":"Marti-Domken, B., Palacios, V., and Barber-Meyer, S., 2021, Acoustic interaction between a pair of owls and a wolf: Western North American Naturalist, v. 81, no. 3, p. 457-461.","productDescription":"5 p.","startPage":"457","endPage":"461","ipdsId":"IP-126183","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":391148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":391142,"type":{"id":15,"text":"Index Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol81/iss3/15/"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.005859375,\n 43.866218006556394\n ],\n [\n -109.44580078125,\n 43.866218006556394\n ],\n [\n -109.44580078125,\n 44.98811302615805\n ],\n [\n -111.005859375,\n 44.98811302615805\n ],\n [\n -111.005859375,\n 43.866218006556394\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"81","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marti-Domken, Barbara","contributorId":268183,"corporation":false,"usgs":false,"family":"Marti-Domken","given":"Barbara","email":"","affiliations":[{"id":56116,"text":"ARCA / ACNHE Spain","active":true,"usgs":false}],"preferred":false,"id":826038,"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":826039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":826040,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70224304,"text":"70224304 - 2021 - Phytoplankton and cyanobacteria abundances in mid-21st century lakes depend strongly on future land use and climate projections","interactions":[],"lastModifiedDate":"2021-11-16T15:44:27.13098","indexId":"70224304","displayToPublicDate":"2021-08-31T07:54:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton and cyanobacteria abundances in mid-21st century lakes depend strongly on future land use and climate projections","docAbstract":"Land use and climate change are anticipated to affect phytoplankton of lakes worldwide. The effects will depend on the magnitude of projected land use and climate changes and lake sensitivity to these factors. We used random forests fit with long-term (1971–2016) phytoplankton and cyanobacteria abundance time series, climate observations (1971–2016), and upstream catchment land use (global Clumondo models for the year 2000) data from 14 European and 15 North American lakes basins. We projected future phytoplankton and cyanobacteria abundance in the 29 focal lake basins and 1567 lakes across focal regions based on three land use (sustainability, middle of the road, and regional rivalry) and two climate (RCP 2.6 and 8.5) scenarios to mid-21st century. On average, lakes are expected to have higher phytoplankton and cyanobacteria due to increases in both urban land use and temperature, and decreases in forest habitat. However, the relative importance of land use and climate effects varied substantially among regions and lakes. Accounting for land use and climate changes in a combined way based on extensive data allowed us to identify urbanization as the major driver of phytoplankton development in lakes located in urban areas, and climate as major driver in lakes located in remote areas where past and future land use changes were minimal. For approximately one-third of the studied lakes, both drivers were relatively important. The results of this large scale study suggest the best approaches for mitigating the effects of human activity on lake phytoplankton and cyanobacteria will depend strongly on lake sensitivity to long-term change and the magnitude of projected land use and climate changes at a given location. Our quantitative analyses suggest local management measures should focus on retaining nutrients in urban landscapes to prevent nutrient pollution from exacerbating ongoing changes to lake ecosystems from climate change.
Non-native organisms have invaded novel ecosystems for centuries, yet we have only a limited understanding of why their impacts vary widely from minor to severe. Predicting the impact of non-established or newly detected species could help focus biosecurity measures on species with the highest potential to cause widespread damage. However, predictive models require an understanding of potential drivers of impact and the appropriate level at which these drivers should be evaluated. Here, we used non-native, specialist herbivorous insects of forest ecosystems to test which factors drive impact and if there were differences based on whether they used woody angiosperms or conifers as hosts. We identified convergent and divergent patterns between the two host types indicating fundamental similarities and differences in their interactions with non-native insects. Evolutionary divergence time between native and novel hosts was a significant driver of insect impact for both host types but was modulated by different factors in the two systems. Beetles in the subfamily Scolytinae posed the highest risk to woody angiosperms, and different host traits influenced impact of specialists on conifers and woody angiosperms. Tree wood density was a significant predictor of host impact for woody angiosperms with intermediate densities (0.5–0.6 mg/mm3) associated with highest risk, whereas risk of impact was highest for conifers that coupled shade tolerance with drought intolerance. These results underscore the importance of identifying the relevant levels of biological organization and ecological interactions needed to develop accurate risk models for species that may arrive in novel ecosystems.
No abstract available.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021EO162790","usgsCitation":"Fischer, T., Moran, S.C., Cooper, K.M., Roman, D.C., and LaFemina, P.C., 2021, Making the most of volcanic eruption responses: Eos Science News, HTML Document, https://doi.org/10.1029/2021EO162790.","productDescription":"HTML Document","ipdsId":"IP-127437","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":451030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021eo162790","text":"Publisher Index Page"},{"id":404644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fischer, Tobias P.","contributorId":289341,"corporation":false,"usgs":false,"family":"Fischer","given":"Tobias P.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":847922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":224629,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":847923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Kari M 0000-0003-0636-6292","orcid":"https://orcid.org/0000-0003-0636-6292","contributorId":294378,"corporation":false,"usgs":false,"family":"Cooper","given":"Kari","email":"","middleInitial":"M","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":847924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roman, Diana C.","contributorId":176225,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":847925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaFemina, Peter C 0000-0001-6053-2074","orcid":"https://orcid.org/0000-0001-6053-2074","contributorId":294379,"corporation":false,"usgs":false,"family":"LaFemina","given":"Peter","email":"","middleInitial":"C","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":847926,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223495,"text":"ofr20211084 - 2021 - Using ALOS-2 synthetic aperture radar (SAR) and interferometric SAR to detect landslides on the mountainous island of Pohnpei, Federated States of Micronesia","interactions":[],"lastModifiedDate":"2021-08-31T11:54:57.454187","indexId":"ofr20211084","displayToPublicDate":"2021-08-30T15:58:55","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1084","displayTitle":"Using ALOS-2 Synthetic Aperture Radar (SAR) and Interferometric SAR to Detect Landslides on the Mountainous Island of Pohnpei, Federated States of Micronesia","title":"Using ALOS-2 synthetic aperture radar (SAR) and interferometric SAR to detect landslides on the mountainous island of Pohnpei, Federated States of Micronesia","docAbstract":"This study was undertaken by the U.S. Geological Survey to assess the detectability of landslides in the densely forested and mountainous island of Pohnpei in the Federated States of Micronesia. The study used existing field-observed land-cover changes and landslides visible on Google Earth (GE) images. A limited number of ALOS-2 PALSAR-2 L-band synthetic aperture radar (SAR) images were collected on two adjacent orbit paths before and after an intense rainfall event that affected Pohnpei in mid-March 2018. Similar sets of images were collected in 2019 and 2020. Low coherence throughout the island interior eliminated use of phase-change products, and change analysis identified no landslide features as having formed in 2019 or 2020. The assessment of red-green-blue image composites and application of the log-ratio method to the 2018 ground-range SAR images identified 5 of the 11 landslides observed on the GE images. Visual comparisons of the co-event and post-event coherence image products detected 9 of the 11 landslides observed on the GE images. Combined, the ground-based SAR and interferometric SAR coherence change detections overcame high temporal and spatial decorrelations, identified all but one landslide visible in the GE comparison, and included substantial redundancy. The robustness of the landslide detection indicates that an increased collection frequency of L-band images could support systematic monitoring of land-cover change on Pohnpei at the scale reported in this study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211084","usgsCitation":"Ramsey, E.W., III, and Rangoonwala, A., 2021, Using ALOS-2 synthetic aperture radar (SAR) and interferometric SAR to detect landslides on the mountainous island of Pohnpei, Federated States of Micronesia: U.S. Geological Survey Open-File Report 2021–1084, 28 p., https://doi.org/10.3133/ofr20211084.","productDescription":"vii, 28 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-131020","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":388659,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1084/coverthb.jpg"},{"id":388660,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1084/ofr20211084.pdf","text":"Report","size":"5.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1084"},{"id":388661,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1084/images"}],"country":"Federated States of Micronesia","otherGeospatial":"Island of Pohnpei","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 158.06442260742188,\n 6.770988820924266\n ],\n [\n 158.38577270507812,\n 6.770988820924266\n ],\n [\n 158.38577270507812,\n 7.027297875479451\n ],\n [\n 158.06442260742188,\n 7.027297875479451\n ],\n [\n 158.06442260742188,\n 6.770988820924266\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506–3152
A two-year study (2013 and 2017) was conducted to determine if annual releases of hatchery rainbow trout (resident Oncorhynchus mykiss) in the upper Cowlitz River Basin, Washington adversely affected anadromous fish in the basin. Rainbow trout tagged with radio transmitters were monitored after release to describe movement patterns, entrainment rates at Cowlitz Falls Dam, and survival. Additionally, trout that were radio-tagged in 2017 were monitored during spring 2018 to determine if any moved upstream and entered tributaries where winter steelhead (anadromous Oncorhynchus mykiss) spawning occurs. A total of 580 hatchery rainbow trout (122 in 2013 and 458 in 2017) were radio-tagged and released at three release sites: (1) Cowlitz Falls Campground on Cowlitz River Arm of Lake Scanewa river kilometer (rkm) 155, (2) Cispus River Arm of Lake Scanewa rkm 1, and (3) Day Use Park on Cowlitz River Arm of Lake Scanewa rkm 146. Most radio-tagged trout (70 percent) remained within 6.4 rkm of the release site but some fish moved at least 25.7 rkm from the release site. The predominant movement direction was downstream. More than twice as many fish released at Cowlitz Falls Campground in 2017 (compared to the other two release sites) remained in the Cowlitz River, where potential overlap with steelhead occurs. A total of 28.3 percent of the study fish were entrained at Cowlitz Falls Dam. Apparent survival (time until movement ceased) for most tagged trout was fewer than 100 days from release in both years and no fish were detected moving during the spring following their release. In summary, hatchery rainbow trout released upstream from Cowlitz Falls Dam seem to remain primarily in Lake Scanewa or entrained at Cowlitz Falls Dam with few fish surviving to winter months. We found no evidence of hatchery trout interacting with steelhead in spawning tributaries during spring months. These results suggest that trout stocking in the upper Cowlitz River Basin poses minimal threat to anadromous fish in the basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211085","collaboration":"Prepared in cooperation with the Bonneville Power Administration and Public Utility District Number 1 of Lewis County, Washington","usgsCitation":"Hansen, A.C., Kock, T.J., Ekstrom, B.K., and Liedtke, T.L., 2021, Behavior and survival of hatchery rainbow trout (Oncorhynchus mykiss) in the upper Cowlitz River Basin, Washington, 2013 and 2017 (ver. 1.1, September 2021): U.S. Geological Survey Open-File Report 2021–1085, 14 p., https://doi.org/10.3133/ofr20211085.","onlineOnly":"Y","ipdsId":"IP-127058","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":397377,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1085/ofr20211085.XML"},{"id":397376,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1085/images"},{"id":388965,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2021/1085/versionhist.txt"},{"id":403443,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20211085/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2021-1085"},{"id":388676,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1085/ofr20211085.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1085"},{"id":388675,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1085/coverthb2.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Upper Cowlitz River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.13476562499997,\n 46.057985244793024\n ],\n [\n -121.66259765624999,\n 46.057985244793024\n ],\n [\n -121.66259765624999,\n 46.73986059969267\n ],\n [\n -123.13476562499997,\n 46.73986059969267\n ],\n [\n -123.13476562499997,\n 46.057985244793024\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016
The Black River flows through southeast Missouri and northeast Arkansas to its confluence with the White River in Arkansas. The U.S. Army Corps of Engineers operates Clearwater Dam on the Black River and a series of dams in the White River Basin primarily for flood control. In this study, the hydrology and geomorphology of the Black River are examined through an analysis of annual mean and peak discharges at streamgages, a specific stage analysis of stage and discharge at streamgages, and an examination of bathymetric data and aerial imagery. Five streamgages on the Black River were analyzed, in addition to four streamgages on Black River tributaries and one streamgage on the White River, located just downstream from the Black River confluence. The analyses indicated that regulation of discharges at the flood-control dams caused a decrease in the magnitude and variability of the peak discharges at several of the analyzed gages on the Black and White Rivers. Conversely, peak discharges on the Black River have been increasing since water year 2000, though this is not matched by an increase in peak discharges on the White River for the same time period. The specific stage analyses and the available morphologic data generally did not indicate pronounced changes in stage-discharge relations at streamgages on the Black River, with the exception of the gages nearest to Clearwater Dam.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215067","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"LeRoy, J.Z., Huizinga, R.J., Heimann, D.C., Lindroth, E.M., and Doyle, H.F., 2021, Historical hydrologic and geomorphic conditions on the Black River and selected tributaries, Arkansas and Missouri: U.S. Geological Survey Scientific Investigations Report 2021–5067, 72 p., https://doi.org/10.3133/sir20215067.","productDescription":"Report: ix, 72 p.; Appendix; Dataset","numberOfPages":"86","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-114034","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":388646,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5067/images","description":"SIR 2021–5067 Images"},{"id":388645,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5067/sir20215067.xml","text":"Report","size":"298 kB","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2021–5067"},{"id":388644,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"},{"id":388641,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5067/coverthb.jpg"},{"id":388642,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5067/sir20215067.pdf","text":"Report","size":"7.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5067"},{"id":388643,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5067/downloads","text":"Appendix Tables 1.0 through 1.10 (.csv and .xlsx formats)"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Black River and selected tributaries","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.51611328125,\n 35.585851593232384\n ],\n [\n -89.95605468749999,\n 35.585851593232384\n ],\n [\n -89.95605468749999,\n 37.317751851636906\n ],\n [\n -91.51611328125,\n 37.317751851636906\n ],\n [\n -91.51611328125,\n 35.585851593232384\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Hydrologic processes are often important determinants of successful recruitment of native fishes. However, water management practices can result in abnormal changes in daily and seasonal hydrology patterns. Rarely has fish recruitment across river–reservoir landscapes been considered in relation to flow management, despite the direct relationship between reservoir water management and the resulting upstream and downstream hydrology. We evaluated the relationships between lotic and lentic hydrology and recruitment of two native broadcast-spawning fishes, Freshwater Drum Aplodinotus grunniens and Gizzard Shad Dorosoma cepedianum. Four seasonal periods for each species were identified that related to the species’ spawning biology, from which we derived our remaining hydrology variables. Annual hydrology variables were also considered in our analysis. We developed regression models in conjunction with a model-selection procedure for each species and habitat type based on the catch-curve residuals from fish populations in hydrologically connected river–reservoir systems in the Ozark Highland and Ouachita Mountain ecoregions, USA. Our results indicated that recruitment of reservoir Freshwater Drum was negatively correlated to annual reservoir retention time. In lotic habitats, Freshwater Drum recruitment was positively correlated with prespawn discharge conditions and negatively correlated with annual flow variability. Similarly, riverine Gizzard Shad recruitment was positively correlated to the frequency of high-flow pulses during the spawning period. Our results indicate that releasing reservoir water to best mimic relatively natural flow patterns may benefit some broadcast-spawning species that occupy both lentic and downstream lotic environments, especially during the spring. This information, combined with future efforts on additional spawning guilds, will provide a foundation for developing holistic river–reservoir water-allocation plans.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10692","usgsCitation":"Dattilo, J., Brewer, S.K., and Shoup, D., 2021, Flow dynamics influence fish recruitment in hydrologically connected river-reservoir landscapes: North American Journal of Fisheries Management, v. 41, no. 6, p. 1752-1763, https://doi.org/10.1002/nafm.10692.","productDescription":"12 p.","startPage":"1752","endPage":"1763","ipdsId":"IP-096322","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri, Oklahoma","otherGeospatial":"Elk River, Grand Lake O’ the Cherokee, Kiamichi River, Sardis Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.372314453125,\n 36.43012234551576\n ],\n [\n -93.80126953124999,\n 36.43012234551576\n ],\n [\n -93.80126953124999,\n 37.142803443716836\n ],\n [\n -95.372314453125,\n 37.142803443716836\n ],\n [\n -95.372314453125,\n 36.43012234551576\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.95458984375,\n 33.779147331286474\n ],\n [\n -94.493408203125,\n 33.779147331286474\n ],\n [\n -94.493408203125,\n 34.488447837809304\n ],\n [\n -95.95458984375,\n 34.488447837809304\n ],\n [\n -95.95458984375,\n 33.779147331286474\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Dattilo, J.","contributorId":274267,"corporation":false,"usgs":false,"family":"Dattilo","given":"J.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoup, D. E.","contributorId":242905,"corporation":false,"usgs":false,"family":"Shoup","given":"D. E.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832864,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}