Cretaceous-Paleocene porphyry Cu(±Mo±Au) occurrences are scattered throughout the Yukon-Tanana upland in eastern Alaska. Known occurrences in eastern Alaska are poorly characterized, despite a resurgence in exploration. Porphyry deposits in the upland are emplaced into structurally complex metamorphic rocks representing a variety of tectonic environments, resulting in diverse alteration and mineralization assemblages. New mapping, drill core logging, petrography, geochemistry, geochronology, and structural analysis allow improved characterization of the parameters of porphyry systems and identify key linkages to regional tectonic and magmatic events. New sericite 40Ar/39Ar and zircon U/Pb dates constrain porphyry systems to the Late Cretaceous-earliest Paleocene (ca. 71-63 Ma). Zircon Hf-isotope ratios and Ce and Eu concentrations indicate that Late Cretaceous-Paleocene intrusions emplaced into basement dominated by Triassic and Jurassic plutons are more isotopically juvenile, reflecting more oxidized conditions. In contrast, those emplaced into basement dominated by mid-Cretaceous plutons are more reduced crustal geochemical-affinity. Diversity in mineral assemblages in contrasting systems may reflect emplacement into crustal domains of varying compositions and oxidation states. Those formed within a domain containing more-oxidized Triassic and Jurassic plutons are molybdenite-rich and apparently lack gold. In contrast, systems formed within domains dominated by more reduced mid-Cretaceous plutons contain lower-sulfidation state mineral assemblages with reported gold.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 15th biennial meeting for geology applied to mineral deposits","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"15th Biennial Meeting of the Society for Geology Applied to Mineral Deposits 27","conferenceDate":"Aug 27-30, 2019","conferenceLocation":"Glasgow, Scotland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits (SGA)","usgsCitation":"Kreiner, D.C., Jones, J.V., Todd, E., Holm-Denoma, C., Caine, J., and Benowitz, J., 2019, Links between tectonics, magmatism, and mineralization in the formation of Late Cretaceous porphyry systems in the Yukon-Tanana upland, eastern Alaska, USA, in Proceedings of the 15th biennial meeting for geology applied to mineral deposits, Glasgow, Scotland, Aug 27-30, 2019, p. 939-942.","productDescription":"4 p.","startPage":"939","endPage":"942","ipdsId":"IP-106263","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":375358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Yukon-Tanana upland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -133.3740234375,\n 60.58696734225869\n ],\n [\n -129.8583984375,\n 63.450509218001095\n ],\n [\n -150.0732421875,\n 67.20403234340081\n ],\n [\n -153.7646484375,\n 64.8115572502203\n ],\n [\n -133.3740234375,\n 60.58696734225869\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":784127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":784128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":784129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":784130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":784131,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benowitz, Jeff","contributorId":223106,"corporation":false,"usgs":false,"family":"Benowitz","given":"Jeff","affiliations":[{"id":7097,"text":"University of Alaska-Fairbanks","active":true,"usgs":false}],"preferred":false,"id":784132,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204592,"text":"70204592 - 2019 - Updates to USGS national seismic hazard model (NSHM) and design ground motion maps for 2020 NEHRP recommended provisions","interactions":[],"lastModifiedDate":"2020-06-01T14:43:59.1433","indexId":"70204592","displayToPublicDate":"2019-09-30T09:42:58","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Updates to USGS national seismic hazard model (NSHM) and design ground motion maps for 2020 NEHRP recommended provisions","docAbstract":"This presentation summarizes the proposed updates to earthquake design ground motions for the 2020 edition of the NEHRP Recommended Seismic Provisions, expected to be incorporated into the ASCE 7-22 Standard. The implications of these updates on the values of design ground motions for example locations in both conterminous and nonconterminous U.S. cities are shown and discussed.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2019 SEAOC convention proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEAOC 2019","conferenceDate":"Aug 28-31, 209","conferenceLocation":"Squaw Creek, CA","language":"English","publisher":"Structural Engineers Association of California","usgsCitation":"Rezaeian, S., and Luco, N., 2019, Updates to USGS national seismic hazard model (NSHM) and design ground motion maps for 2020 NEHRP recommended provisions, in 2019 SEAOC convention proceedings, Squaw Creek, CA, Aug 28-31, 209, 1 p.","productDescription":"1 p.","ipdsId":"IP-110889","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":375183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":767666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":767667,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205399,"text":"ofr20191107 - 2019 - Application of the Stream Salmonid Simulator (S3) to Klamath River fall Chinook salmon (Oncorhynchus tshawytscha), California—Parameterization and calibration","interactions":[],"lastModifiedDate":"2019-10-01T10:31:37","indexId":"ofr20191107","displayToPublicDate":"2019-09-30T09:06:14","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1107","displayTitle":"Application of the Stream Salmonid Simulator (S3) to Klamath River Fall Chinook Salmon (Oncorhynchus tshawytscha), California—Parameterization and Calibration","title":"Application of the Stream Salmonid Simulator (S3) to Klamath River fall Chinook salmon (Oncorhynchus tshawytscha), California—Parameterization and calibration","docAbstract":"In this report, we describe application of the Stream Salmonid Simulator (S3) to Chinook salmon (Oncorhynchus tshawytscha) in the Klamath River between Keno Dam in southern Oregon and the ocean in northern California. S3 is a deterministic life-stage-structured population model that tracks daily growth, movement, and survival of juvenile salmon. It can track different source populations or species, such as major tributary populations that enter a river like the Klamath River. A key theme of the model is that river flow affects habitat availability and capacity, which in turn drives density-dependent population dynamics. To explicitly link population dynamics to habitat quality and quantity, the river environment is constructed as a one-dimensional series of linked habitat units, each of which has an associated daily time series of discharge, water temperature, and useable habitat area or carrying capacity. In turn, the physical characteristics of each habitat unit and the number of fish occupying each unit affect survival and growth within each habitat unit and movement of fish among habitat units.
The physical template of the Klamath River was formed by classifying the river into 2,635 mesohabitat units composed of runs, riffles, and pools. This template enabled modeling of the unimpounded Klamath River between the Keno Dam (the uppermost of four dams) and Iron Gate Dam (the lowermost dam) to address dam-removal scenarios. However, in this report, our focus was on parameterizing and calibrating the model under existing conditions, which included 1,706 discrete habitat units over the 312-kilometer (km) section of river between Iron Gate Dam and the ocean. For each habitat unit, we developed a time series of daily flow, water temperature, and amount of available habitat (weighted usable habitat area [WUA]) for spawners, fry, and parr. WUA time series were constructed using habitat suitability criteria for Chinook salmon applied to eight two-dimensional (2-D) hydrodynamic models that represented the geomorphic variability in habitat across the Klamath River. Results from the 2-D models were then extrapolated to unmodeled habitat units by scaling WUA curves for changes in habitat unit length and width. These variables were then used to drive population dynamics such as egg development and survival and juvenile movement, growth, and survival.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191107","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the Bureau of Reclamation","usgsCitation":"Perry, R.W., Plumb, J.M., Jones, E.C., Som, N.A., Hardy, T.B., and Hetrick, N.J., 2019, Application of the Stream Salmonid Simulator (S3) to Klamath River fall Chinook salmon (Oncorhynchus tshawytscha), California—Parameterization and calibration: U.S. Geological Survey Open-File Report 2019–1107, 89 p., https://doi.org/10.3133/ofr20191107.","productDescription":"Report: viii, 89p.; Appendix 1","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-106890","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":367791,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1107/ofr20191107.pdf","text":"Report","size":"5.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1107"},{"id":367792,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1107/ofr20191107_a1.pdf","text":"Appendix 1","size":"241 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1107 Appendix 1"},{"id":367790,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1107/coverthb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Keno Dam, Klamath River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.4091796875,\n 41.17038447781618\n ],\n [\n -120.66284179687498,\n 41.17038447781618\n ],\n [\n -120.66284179687498,\n 42.4234565179383\n ],\n [\n -124.4091796875,\n 42.4234565179383\n ],\n [\n -124.4091796875,\n 41.17038447781618\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 Archie Carr National Wildlife Refuge, Florida, USA (27.946°N, − 80.494°W) represents one of the largest loggerhead turtle (Caretta caretta) nesting sites in the Western Hemisphere. Surprisingly, little work has been conducted to determine females’ post-nesting migratory behavior and characteristics of their foraging areas. Between 2008 and 2017, satellite telemetry was used to trace the locations and movements of 45 post-nesting loggerhead turtles. A switching state-space model was employed to estimate the behavioral state of each location. Internesting, migrating and foraging activity periods were determined for 38 loggerheads based on the SSSM. Seven environmental variables were extracted from remote sensing imagery for each location to compare values among behaviors. Core primary foraging areas ranged in size from 5.89 to 4572.80 km2. Four foraging types (primary, secondary, seasonal, and loops) were observed. Most turtles resided at a primary foraging area year round. A few individuals conducted foraging loops away from a primary foraging area. Both seasonal and loop movements were associated with changes in sea surface temperature as turtles moved to avoid temperatures that could cause cold-stunning or mortality. Turtle size and nesting beach offshore currents may play a role in foraging area selection, and date of departure from the nesting beach may be linked to foraging destination. By making the connection among oceanic features, foraging areas, and the influence of environmental variables on these areas, it is possible to identify and characterize critically important feeding areas and migration corridors for loggerheads nesting on the east coast of Florida.
Most geothermal resources in the Great Basin region of the western USA are blind, and thus the discovery of new commercial-grade systems requires synthesis of favorable characteristics for geothermal activity. The geothermal play fairway concept involves integration of multiple parameters indicative of geothermal activity to identify promising areas for new development. This project integrated multiple datasets to apply the play fairway concept and assess geothermal potential in a large region of the Great Basin in Nevada. It is therefore referred to as the Nevada play fairway project. This project was a strong collaborative effort between several organizations, led by the Nevada Bureau of Mines and Geology at the University of Nevada, Reno, but with key support from the U.S. Geological Survey, ATLAS Geosciences, Inc,, Hi-Q Geophysical, Inc., Lawrence Berkeley National Laboratory, Utah Geological Survey, and Innovative Geothermal Ltd. In Budget Period 1 of this project, available data for nine geologic, geochemical, and geophysical parameters were initially synthesized to produce a new detailed geothermal potential map of 96,000 km2 from west-central to eastern Nevada (Figure 1). These parameters were grouped into subsets and individually weighted (Figure 2) to delineate rankings for local permeability, intermediate permeability, regional permeability, and thermal potential, which collectively defined geothermal play fairways (i.e., most likely locations for significant geothermal fluid flow). This initial work was aimed at reducing the risks in regional exploration and therefore facilitating discovery of new commercial-grade systems in blind settings, as well as in areas with surface expressions of geothermal activity. Budget Period 2 of the project involved detailed analysis of some of the most promising areas identified in Phase 1. Twenty-four highly prospective areas, including both known undeveloped systems and previously undiscovered potential blind systems, were identified for further analysis (Figures 3 and 4). After reconnaissance of these areas, five of the most promising sites were selected for detailed studies. Multiple techniques were employed in the detailed studies, including geologic mapping, shallow temperature surveys, gravity surveys, Lidar, geochemical studies, seismic reflection analysis, and 3D modeling. The goal of the detailed studies was to identify specific areas with the highest likelihood for high permeability and thermal fluids, such that drill sites could be targeted. Three main sets of predictive maps were generated for each detailed study area: 1) play fairway maps, 2) play fairway error maps, and 3) direct evidence maps. Local- and intermediate-scale permeability models were revised to reflect results of the detailed geologic, geophysical, and geochemical analyses. Budget Period 3 of the project involved more detailed geophysical analyses and temperature-gradient (TG) drilling in southeastern Gabbs Valley and northern Granite Springs Valley (Figure 4), deemed the two most promising sites, with the goal of providing preliminary validation of the play fairway methodology. In southeastern Gabbs Valley, the collocation of a favorable structural setting (displacement transfer zone and fault intersections), Quaternary faults, intersecting and terminating gravity gradients, magnetic low, shallow (2 m) temperature anomaly, low resistivity anomaly, and promising geothermometry from nearby water wells provided evidence for a blind system. Drilling of six TG holes defines an apparent geothermal system at this locality with temperatures as high as 124°C at 152 m. This system is blind, with no surface hot springs, fumaroles, or paleo-geothermal deposits. For northern Granite Springs Valley, a favorable structural setting (termination of a major Quaternary normal fault), terminating gravity gradient, magnetic gradient, newly discovered sinter deposits, nearby warm water wells, previously drilled TG holes in the vicinity, and promising geothermometry suggest a hidden system. Drilling of six new TG holes yields temperatures of ~96°C at ~250 m, suggesting the presence of a geothermal system. Major lessons learned in the course of this project include: 1) initially identified sites commonly include multiple favorable structural settings at a finer scale; 2) promising sites in Cenozoic basins cannot be recognized without detailed geophysical surveys; and 3) play fairway analysis should be refined as the exploration program vectors into the most promising sites and finer-scale data are acquired. In addition to producing copious amounts of data, this project resulted in 16 published papers, 10 abstracts, more than 40 presentations across the U.S. and abroad (including several keynote addresses), 2 Masters theses, and 7 media reports.
Radial and linear dike swarms in the eroded roots of volcanoes and along rift zones are sensitive structural indicators of conduit and eruption geometry that can record regional paleostress orientations. Compositionally diverse dikes and larger intrusions that radiate westward from the polycyclic Platoro caldera complex in the Southern Rocky Mountain volcanic field (southwestern United States) merge in structural trend, composition, and age with the enormous but little-studied Dulce swarm of trachybasaltic dikes that continue southwest and south for ∼125 km along the eastern margin of the Colorado Plateau from southern Colorado into northern New Mexico. Some Dulce dikes, though only 1–2 m thick, are traceable for 20 km. More than 200 dikes of the Platoro-Dulce swarm are depicted on regional maps, but only a few compositions and ages have been published previously, and relations to Platoro caldera have not been evaluated. Despite complications from deuteric alteration, bulk compositions of Platoro-Dulce dikes (105 new X-ray fluorescence and inductively coupled plasma mass spectrometry analyses) become more mafic and alkalic with distance from the caldera. Fifty-eight (58) new 40Ar/39Ar ages provide insight into the timing of dike emplacement in relation to evolution of Platoro caldera (source of six regional ignimbrites between 30.3 and 28.8 Ma). The majority of Dulce dikes were emplaced during a brief period (26.5–25.0 Ma) of postcaldera magmatism. Some northeast-trending dikes yield ages as old as 27.5 Ma, and the northernmost north-trending dikes have younger ages (20.1–18.6 Ma). In contrast to high-K lamprophyres farther west on the Colorado Plateau, the Dulce dikes are trachybasalts that contain only anhydrous phenocrysts (clinopyroxene, olivine). Dikes radial to Platoro caldera range from pyroxene- and hornblende-bearing andesite to sanidine dacite, mostly more silicic than trachybasalts of the Dulce swarm. Some distal andesite dikes have ages (31.2–30.4 Ma) similar to those of late precaldera lavas; ages of other proximal dikes (29.2–27.5 Ma) are akin to those of caldera-filling lavas and the oldest Dulce dikes. The largest radial dikes are dacites that have yet younger sanidine 40Ar/39Ar ages (26.5–26.4 Ma), similar to those of the main Dulce swarm.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02068.1","usgsCitation":"Lipman, P.W., and Zimmerer, M.J., 2019, Magmato-tectonic links: Ignimbrite calderas, regional dike swarms, and the transition from arc to rift in the Southern Rocky Mountains: Geosphere, v. 15, no. 6, p. 1893-1926, https://doi.org/10.1130/GES02068.1.","productDescription":"34 p.","startPage":"1893","endPage":"1926","ipdsId":"IP-099412","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467321,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02068.1","text":"Publisher Index Page"},{"id":463051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Southern Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.72050712008375,\n 40.432731172362224\n ],\n [\n -108.72050712008375,\n 36.565245969445655\n ],\n [\n -104.15019462008387,\n 36.565245969445655\n ],\n [\n -104.15019462008387,\n 40.432731172362224\n ],\n [\n -108.72050712008375,\n 40.432731172362224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Lipman, Peter W. 0000-0001-9175-6118","orcid":"https://orcid.org/0000-0001-9175-6118","contributorId":203612,"corporation":false,"usgs":true,"family":"Lipman","given":"Peter","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":916166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerer, Matthew J.","contributorId":191162,"corporation":false,"usgs":false,"family":"Zimmerer","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":916167,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70206033,"text":"70206033 - 2019 - Impacts to wildlife of wind energy siting and operation in the United States","interactions":[],"lastModifiedDate":"2019-10-18T06:32:54","indexId":"70206033","displayToPublicDate":"2019-09-29T11:54:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2121,"text":"Issues in Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Impacts to wildlife of wind energy siting and operation in the United States","docAbstract":"Electricity from wind energy is a major contributor to the strategy to reduce greenhouse gas emissions from fossil fuel use and thus reduce the negative impacts of climate change. Wind energy, like all power sources, can have adverse impacts on wildlife. After nearly 25 years of focused research, these impacts are much better understood, although uncertainty remains. In this report, we summarize positive impacts of replacing fossil fuels with wind energy, while describing what we have learned and what remains uncertain about negative ecological impacts of the construction and operation of land-based and offshore wind energy on wildlife and wildlife habitat in the U.S. Finally, we propose research on ways to minimize these impacts. TO SUMMARIZE: 1 Environmental and other benefits of wind energy include near-zero greenhouse gas emissions, reductions of other common air pollutants, and little or no water use associated with producing electricity from wind energy. Various scenarios for meeting U.S. carbon emission reduction goals indicate that a four- to five-fold expansion of land-based wind energy from the current 97 gigawatts (GW) by the year 2050 is needed to minimize temperature increases and reduce the risk of climate change to people and wildlife. 2 Collision fatalities of birds and bats are the most visible and measurable impacts of wind energy production. Current estimates suggest most bird species, especially songbirds, are at low risk of population-level impacts. Raptors as a group appear more vulnerable to collisions. Population-level impacts on migratory tree bats are a concern, and better information on population sizes is needed to evaluate potential impacts to these species. Although recorded fatalities of cave-dwelling bat species are typically low at most wind energy facilities, additional mortality from collisions is a concern given major declines in these species due to white-nose syndrome (WNS). Assessments of regional and cumulative fatality impacts for birds and bats have been hampered by the lack of data from areas with a high proportion of the nation’s installed wind energy capacity. Efforts to expand data accessibility from all regions are underway, and this greater access to data along with improvements in statistical estimators should lead to improved impact assessments. 3 Habitat impacts of wind energy development are difficult to assess. An individual wind energy facility may encompass thousands of acres, but only a small percentage of the landscape within the project area is directly transformed. If a project is sited in previously undisturbed habitat, there is concern for indirect impacts, such as displacement of sensitive species. Studies to date indicate displacement of some species, but the long-term population impacts are unknown. 4 Offshore wind energy development in the U.S. is just beginning. Studies at offshore wind facilities in Europe indicate some bird and marine mammal species are displaced from project areas, but substantial uncertainty exists regarding the individual or population-level impacts of this displacement. Bird and bat collisions with offshore turbines are thought to be less common than at terrestrial facilities, but currently the tools to measure fatalities at offshore wind energy facilities are not available. The wind energy industry, state and federal agencies, conservation groups, academia, and scientific organizations have collaborated for nearly 25 years to conduct the research needed to improve our understanding of risk to wildlife and to avoid and minimize that risk. Efforts to reduce the uncertainty about wildlife risk must keep up withthe pace and scale of the need to reduce carbon emissions. This will require focusing our research priorities and increasing the rate at which we incorporate research results into the development and validation of best practices for siting and operating wind energy facilities.
","language":"English","publisher":"Ecological Society of America","usgsCitation":"Allison, T., Diffendorfer, J., Baerwald, E., Julie Beston, David Drake, Hale, A., Cris Hein, Huso, M.M., Loss, S., Lovich, J.E., Strickland, D., Kate Williams, and Virginia Winder, 2019, Impacts to wildlife of wind energy siting and operation in the United States: Issues in Ecology, no. 21, p. 1-24.","productDescription":"24 p.","startPage":"1","endPage":"24","ipdsId":"IP-082737","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":368388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368387,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.esa.org/wp-content/uploads/2019/09/Issues-in-Ecology_Fall-2019.pdf"}],"issue":"21","publishingServiceCenter":{"id":2,"text":"Denver 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We examined diet, feeding rates, growth, and survival of Black Oystercatcher broods in southcentral Alaska, 2013-2014. To determine the importance of diet on brood survival, we modeled daily survival rates of broods as a function of energy intake rate and other ecological factors. We hypothesized that broods fed at higher energy intake rates would grow faster and fly earlier, thereby being less vulnerable to predators and having higher rates of survival. Consistent with our prediction, broods with higher energy intake rates had higher rates of growth and daily survival. The best-supported model indicated that brood survival varied by energy intake rate and brood age. To understand how adults meet the increasing nutritional needs of developing chicks, we examined delivery rates and prey type and size as a function of brood age. Delivery rates differed by age, but composition and size classes of prey items did not, indicating that adults respond to the rising energetic needs of broods by increasing parental effort rather than switching prey. These findings demonstrate the importance of diet and provisioning to broods and given the consequences of reduced energy intake on survival, indicate that shifts in intertidal invertebrates as a result of climate change could have significant impacts on Black Oystercatcher populations.","language":"English","publisher":"Marine Ornithology","usgsCitation":"Robinson, B., Phillips, L., and Powell, A., 2019, Energy intake rate influences survival of Black Oystercatcher Haematopus bachmani broods: Journal of Seabird Science and Conservation , v. 47, p. 277-283.","productDescription":"7 p.","startPage":"277","endPage":"283","ipdsId":"IP-077884","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":371513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":371505,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1329"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.203125,\n 59.62332522313024\n ],\n [\n -143.26171875,\n 59.62332522313024\n ],\n [\n -143.26171875,\n 65.83877570688918\n ],\n [\n -158.203125,\n 65.83877570688918\n ],\n [\n -158.203125,\n 59.62332522313024\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, B.H. 0000-0001-8588-7162","orcid":"https://orcid.org/0000-0001-8588-7162","contributorId":221774,"corporation":false,"usgs":false,"family":"Robinson","given":"B.H.","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":780171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, L.M.","contributorId":221775,"corporation":false,"usgs":false,"family":"Phillips","given":"L.M.","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":780172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, Abby 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":176843,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":780170,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211362,"text":"70211362 - 2019 - Rural-urban differences in hunting and birdwatching attitudes and participation","interactions":[],"lastModifiedDate":"2020-07-29T13:44:37.252044","indexId":"70211362","displayToPublicDate":"2019-09-28T11:30:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Rural-urban differences in hunting and birdwatching attitudes and participation","docAbstract":"Outdoor recreation facilitates important connections to nature and wildlife but is perceived differently across population segments. As such, we expected that current and past socio-demographic characteristics of individuals would influence intention to participate in outdoor recreation. We solicited 5,000 U.S. residents. (n = 1,030, 23% response) to describe their perceptions of hunting and birdwatching. The influence of current and childhood community size (i.e., urban-rural residence gradient) was examined as a potentially important predictor of intention to participate in hunting and birdwatching within the context of theory of planned behavior. Hunting attitudes and personal behavior control were more positive when respondents maintained a residence in rural areas. Alternatively, birdwatching attitudes, norms, and perceived behavioral control did not differ with community size. Therefore, programs aimed at increasing participation in outdoor recreation should carefully consider the importance of socio-demographic variables in the context of their objectives, especially for recruiting urban hunters.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10871209.2019.1661046","usgsCitation":"Wilkins, E., Cole, N., Miller, H., Schuster, R., Dayer, A.A., Duberstein, J.N., Fulton, D.C., Harshaw, H.W., and Raedeke, A.H., 2019, Rural-urban differences in hunting and birdwatching attitudes and participation: Human Dimensions of Wildlife, v. 24, no. 6, p. 530-547, https://doi.org/10.1080/10871209.2019.1661046.","productDescription":"17 p.","startPage":"530","endPage":"547","ipdsId":"IP-091008","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":459708,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/99044","text":"External Repository"},{"id":376781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkins, Emily J. 0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":197137,"corporation":false,"usgs":false,"family":"Wilkins","given":"Emily J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":794113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, Nicholas W.","contributorId":172275,"corporation":false,"usgs":false,"family":"Cole","given":"Nicholas W.","affiliations":[],"preferred":false,"id":794046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":4577,"corporation":false,"usgs":true,"family":"Miller","given":"Holly M.","email":"millerh@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":794045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":794044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dayer, Ashley A.","contributorId":171460,"corporation":false,"usgs":false,"family":"Dayer","given":"Ashley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":794114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duberstein, Jennifer N.","contributorId":232553,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jennifer","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":794117,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":794115,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harshaw, Howard W.","contributorId":232554,"corporation":false,"usgs":false,"family":"Harshaw","given":"Howard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":794118,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":794116,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70208192,"text":"70208192 - 2019 - World’s largest dam removal reverses coastal erosion","interactions":[],"lastModifiedDate":"2020-01-29T19:45:00","indexId":"70208192","displayToPublicDate":"2019-09-27T19:41:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"World’s largest dam removal reverses coastal erosion","docAbstract":"Coastal erosion outpaces land generation along many of the world’s deltas and a significant percentage of shorelines, and human-caused alterations to coastal sediment budgets can be important drivers of this erosion. For sediment-starved and erosion-prone coasts, large-scale enhancement of sediment supply may be an important, but poorly understood, management option. Here we provide new topographic measurements that show the patterns and trends of beach accretion following the restoration of sediment supply from a massive dam removal project. River sediment was initially deposited in intertidal-to-subtidal deltaic lobes, and this sediment was reworked by ocean waves into subaerial river mouth bars over time scales of several months. These river mouth bars welded to the shoreline and then initiated waves of sediment accretion along adjacent upcoast and downcoast beaches. Although the downcoast shoreline has a high wave-angle setting, the sedimentation waves straightened the downcoast shoreline rather than forming self-organized quasi-periodic instabilities, which suggests that simple coastal evolution theory did not hold under these conditions. Combined with other mega-nourishment projects, these findings provide new understanding of littoral responses to the restoration of sediment supplies.","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-50387-7","usgsCitation":"Warrick, J.A., Stevens, A.W., Miller, I.M., Harrison, S.R., Ritchie, A.C., and Gelfenbaum, G.R., 2019, World’s largest dam removal reverses coastal erosion: Scientific Reports, v. 9, 13968, 12 p., https://doi.org/10.1038/s41598-019-50387-7.","productDescription":"13968, 12 p.","ipdsId":"IP-111485","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-50387-7","text":"Publisher Index Page"},{"id":371748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":" Elwha River mouth","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.60820770263672,\n 48.07807894349862\n ],\n [\n -123.52615356445312,\n 48.07807894349862\n ],\n [\n -123.52615356445312,\n 48.17707562779612\n ],\n [\n -123.60820770263672,\n 48.17707562779612\n ],\n [\n -123.60820770263672,\n 48.07807894349862\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":780891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":780892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, Shawn R 0000-0002-8711-4427","orcid":"https://orcid.org/0000-0002-8711-4427","contributorId":221995,"corporation":false,"usgs":false,"family":"Harrison","given":"Shawn","email":"","middleInitial":"R","affiliations":[{"id":16692,"text":"Naval Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":780893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780895,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70205375,"text":"ofr20191106 - 2019 - Characterization and load estimation of polychlorinated biphenyls (PCBs) from selected Rio Grande tributary stormwater channels in the Albuquerque urbanized area, New Mexico, 2017–18","interactions":[],"lastModifiedDate":"2019-09-30T10:05:38","indexId":"ofr20191106","displayToPublicDate":"2019-09-27T17:45:38","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1106","displayTitle":"Characterization and Load Estimation of Polychlorinated Biphenyls (PCBs) From Selected Rio Grande Tributary Stormwater Channels in the Albuquerque Urbanized Area, New Mexico, 2017–18","title":"Characterization and load estimation of polychlorinated biphenyls (PCBs) from selected Rio Grande tributary stormwater channels in the Albuquerque urbanized area, New Mexico, 2017–18","docAbstract":"In cooperation with the New Mexico County of Bernalillo, the U.S. Geological Survey characterized potential polychlorinated biphenyl (PCB) concentration and estimated loading into the Rio Grande from watersheds that are under the county’s jurisdiction. Water and sediment samples were collected in 2017–18 from six sites within four stormwater drainage basins in the Albuquerque, New Mexico, urbanized area for the analysis of PCB congeners and other water-quality constituents during dry and wet seasons. Also, the rainfall-runoff model Arid Lands Hydrologic Model (AHYMO) was used to estimate stormwater discharge at the two sample collection sites not affected by pump station operation. Along with the PCB analysis, the discharge data were used to estimate total PCB stormflow event loads for eight events in these urban Rio Grande tributaries. PCBs were detected in 34 of 36 water samples at concentrations as high as 65.8 nanograms per liter and in 12 of 13 sediment samples at concentrations as high as 163,000 nanograms per kilogram dry weight. Six of the 36 water samples exceeded the New Mexico surface-water quality standard for protection of wildlife habitat and aquatic life of 14 nanograms per liter for PCBs. None of the water samples exceeded the U.S. Environmental Protection Agency’s National Pollutant Discharge Elimination System permit level limit of 200 nanograms per liter for PCBs in stormwater systems discharging into the Rio Grande. PCB concentrations in water samples in this study were not linearly related to antecedent precipitation or measured water-quality parameters, but PCB concentrations had a statistically significant positive Kendall’s tau correlation with total suspended solids for water samples and with total organic carbon for sediment samples. The PCB congener profiles indicate that sources to stormwater drainage basins in Bernalillo County originate both from legacy sources, such as Aroclors (for example, in landfills and old building materials), and from current-use sources, such as yellow pigments (for example, in printed materials and packaging in urban litter or refuse). Total PCB stormflow event loads were calculated with average potential minimum and maximum event loads of 0.73 and 4.32 milligrams per storm event, respectively, at the Adobe Acres pump station site and 56.78 and 315.13 milligrams per storm event at the Sanchez Farms inflow at Albuquerque, N. Mex., site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191106","collaboration":"Prepared in cooperation with Bernalillo County","usgsCitation":"Shephard, Z.M., Conn, K.E., Beisner, K.R., Jornigan, A.D., and Bryant, C.F., 2019, Characterization and load estimation of polychlorinated biphenyls (PCBs) from selected Rio Grande tributary stormwater channels in the Albuquerque urbanized area, New Mexico, 2017–18: U.S. Geological Survey Open-File Report 2019–1106, 48 p., https://doi.org/10.3133/of20191106.","productDescription":"x, 48 p.","numberOfPages":"61","onlineOnly":"Y","ipdsId":"IP-109136","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":367784,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1106/coverthb.jpg"},{"id":367785,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1106/ofr20191106.pdf","size":"4.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1106"}],"country":"United States","state":"New Mexico","city":"Albuquerque","otherGeospatial":"Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.8255615234375,\n 34.9371707067839\n ],\n [\n -106.48223876953125,\n 34.9371707067839\n ],\n [\n -106.48223876953125,\n 35.20579439829525\n ],\n [\n -106.8255615234375,\n 35.20579439829525\n ],\n [\n -106.8255615234375,\n 34.9371707067839\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Mexico Water Science Center
6700 Edith Blvd.
Albuquerque, NM 87113
A generalized potentiometric-surface map of the Madison aquifer near Jewel Cave National Monument was constructed using water levels measured from calendar years 1988 to 2019 in 24 groundwater wells and 4 subterranean cave lakes interpreted to be in hydraulic connection with the aquifer. The map indicated that groundwater near Jewel Cave National Monument originates from recharge sources to the Madison aquifer in the higher elevations in the north-central area of the map, flows west to south-southwest through the Jewel Cave network, then southeast.
Hydrographs were constructed using water levels from four observation wells and one subterranean lake (Hourglass Lake) in the Jewel Cave network to evaluate historical and current groundwater recharge to the Madison aquifer in the study area. Hydrographs from 1992 through 2018 indicated water levels were lowest from the early to mid-1990s, increased through the late 1990s, peaked in the early 2000s, decreased until 2010, and then increased to the highest levels during 2016–18. A visual comparison of the Hourglass Lake hydrograph with cumulative precipitation, and quantitative (statistical) comparison of lake-water levels with cumulative precipitation, indicated that lake-water levels increased as cumulative precipitation increased, most likely due to some degree of precipitation recharge to hydraulically connected Madison Limestone outcrops.
Comparing the potentiometric-surface map constructed for this study, with a map by Strobel and others (2000) of the same region and aquifer, indicated similarity and, therefore, provided some validation of map construction. The potentiometric-surface map constructed for this study could be used by park managers and others as a tool to evaluate the hydrogeologic characteristics of the Madison aquifer in the study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195098","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Anderson, T.M., Eldridge, W.G., Valder, J.F., and Wiles, M., 2019, Generalized potentiometric-surface map and groundwater flow directions in the Madison aquifer near Jewel Cave National Monument, South Dakota: U.S. Geological Survey Scientific Investigations Report 2019–5098, 16 p., https://doi.org/10.3133/sir20195098.","productDescription":"vi, 16 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-109769","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":367748,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5098/sir20195098.pdf","text":"Report","size":"5.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5098"},{"id":367747,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5098/coverthb.jpg"},{"id":369716,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20193072","text":"FS 2019–3072","size":"3.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3072","linkHelpText":"– Groundwater Characterization of the Madison Aquifer near Jewel Cave National Monument, South Dakota"}],"country":"United States","state":"South Dakota","otherGeospatial":"Jewel Cave, Madison Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.05426025390625,\n 43.60823944964323\n ],\n [\n -103.4417724609375,\n 43.60823944964323\n ],\n [\n -103.4417724609375,\n 44.11716972942086\n ],\n [\n -104.05426025390625,\n 44.11716972942086\n ],\n [\n -104.05426025390625,\n 43.60823944964323\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
1608 Mountain View Road
Rapid City, SD 57702
Eastern Energy Resources Science Center
12201 Sunrise Valley Drive
956 National Center
Reston, VA 20192
The introduction of snakeheads from their origins in Asia is relatively recent to the conterminous United States with the first of many collections beginning in the late 1990s. For decades they have been commercially fished and aquacultured around the world for human food and, to a lesser degree, for the aquarium trade. Over a dozen snakehead species known to be of economic importance outside the US, five have been introduced into the United States. Three of the four species collected in open waters have successfully established reproducing populations. The most widespread is a temperate species, Northern Snakehead Channa argus, primarily found in the Mid-Atlantic region of the United States. The other two snakehead species that established populations are the Bullseye Snakehead Channa marulius in the state of Florida and Blotched Snakehead Channa maculata in the state of Hawai’i. A fifth species, Chevron Snakehead Channa striata, is also present in Hawai’i, but only in aquaculture, not in open waters. Introductions of snakehead fishes into the United States were most likely the result of the popularity of this group of fishes in Asia.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":" Proceedings of the First International Snakehead Symposium, American Fisheries Society Symposium 89","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"First International Snakehead Symposium","conferenceDate":"July 17-18, 2018","conferenceLocation":"Alexandria, VA","language":"English","usgsCitation":"Benson, A., 2019, Snakehead fishes (Channa spp.) in the USA, in Proceedings of the First International Snakehead Symposium, American Fisheries Society Symposium 89, Alexandria, VA, July 17-18, 2018, p. 3-21.","productDescription":"19 p.","startPage":"3","endPage":"21","ipdsId":"IP-102874","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":367732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360942,"type":{"id":15,"text":"Index 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The geographical focus for the summit was the entire Great Plains. The summit was designed to provide syntheses of information about key grassland topics of interest in the Great Plains; networking and learning channels for managers, researchers and stakeholders; and working sessions for sharing input and ideas about challenges and future research and management opportunities. The summit was convened to better understand Great Plains stressors and resource demands and how to manage them, and to discuss methods for improved collaboration among natural resource managers, scientists, and stakeholders. Over 200 stakeholders, who collectively were affiliated with all of the Great Plains states, attended the summit. Attendees included university researchers, government scientists, and individuals affiliated with federal and state agencies, tribes, the private sector, and non-governmental organizations (NGOs). Plenary speakers provided syntheses of current knowledge on key topics to help stage working sessions on working lands, native plants and pollinators, native wildlife and biological diversity, invasive species, wildland and prescribed fire, energy development, and weather, water, and climate. The summit steering committee designed one suite of questions that were asked of participants in each working session. This report is a digest of the input from those who attended the seven working sessions and responded to the structured questions.","language":"English","publisher":"USDA Forest Service","usgsCitation":"Finch, D., Baldwin, C., Brown, D.P., Driscoll, K.P., Fleishman, E., Ford, P.L., Hanberry, B., Symstad, A., Van Pelt, B., and Zabel, R., 2019, Management opportunities and research priorities for Great Plains grasslands: General Technical Report 398, vi, 56 p.","productDescription":"vi, 56 p.","ipdsId":"IP-105426","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":367778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367750,"type":{"id":11,"text":"Document"},"url":"https://www.fs.fed.us/rm/pubs_series/rmrs/gtr/rmrs_gtr398.pdf"}],"country":"United States","state":"Colorado, Illinois, Iowa, Kansas, Minnesota, Missouri, Montana, Nebraska, New Mexico, North Dakota, Ohio, 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P","contributorId":219276,"corporation":false,"usgs":false,"family":"Brown","given":"David","email":"","middleInitial":"P","affiliations":[{"id":39984,"text":"USDA Agricultural Research Service, El Reno, OK","active":true,"usgs":false}],"preferred":false,"id":771857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Driscoll, Katelyn P.","contributorId":195582,"corporation":false,"usgs":false,"family":"Driscoll","given":"Katelyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":771858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fleishman, Erica 0000-0003-4435-3134","orcid":"https://orcid.org/0000-0003-4435-3134","contributorId":215096,"corporation":false,"usgs":false,"family":"Fleishman","given":"Erica","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":771859,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ford, Paulette 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modeling","interactions":[],"lastModifiedDate":"2019-10-14T11:03:48","indexId":"70205895","displayToPublicDate":"2019-09-27T11:01:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Discoveries and novel insights in ecology using structural equation modeling","docAbstract":"As we enter the era of data science (Lortie 2018), quantitative analysis methodologies are proliferating rapidly, leaving ecologists with the task of choosing among many alternatives. \nThe use of structural equation modeling (SEM) by ecologists has increased in recent years, prompting us to ask users a number of questions about their experience with the methodology. Responses indicate an enthusiastic endorsement of SEM. Two major elements of respondent’s experiences seem to contribute to their positive response, (1) a sense that they are obtaining more accurate explanatory understanding through the use of SEM and (2) excitement generated by the discovery of novel insights into their systems. We elaborate here on the detection of indirect effects, offsetting effects, and suppressed effects, and demonstrate how discovering these effects can advance ecology.","language":"English","publisher":"Queens University","doi":"10.24908/iee.2019.12.5.c","usgsCitation":"Laughlin, D.C., and Grace, J., 2019, Discoveries and novel insights in ecology using structural equation modeling: Ecology and Evolution, v. 12, p. 28-34, https://doi.org/10.24908/iee.2019.12.5.c.","productDescription":"7 p.","startPage":"28","endPage":"34","ipdsId":"IP-109791","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467322,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.24908/iee.2019.12.5.c","text":"Publisher Index Page"},{"id":368302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368159,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.24908/iee.2019.12.5.c"}],"volume":"12","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Laughlin, Daniel C.","contributorId":200543,"corporation":false,"usgs":false,"family":"Laughlin","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":772794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, James 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":219648,"corporation":false,"usgs":true,"family":"Grace","given":"James","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772793,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70212304,"text":"70212304 - 2019 - Dome formation on Ceres by sold-state flow analogous to terrestrial salt tectonics","interactions":[],"lastModifiedDate":"2020-08-14T15:13:19.070243","indexId":"70212304","displayToPublicDate":"2019-09-27T10:11:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Dome formation on Ceres by sold-state flow analogous to terrestrial salt tectonics","docAbstract":"The dwarf planet Ceres’s outer crust is a complex, heterogeneous mixture of ice, clathrates, salts and silicates. Numerous large domes on Ceres’s surface indicate a degree of geological activity. These domes have been attributed to cryovolcanism, but that is difficult to reconcile with Ceres’s small size and lack of long-lived heat sources. Here we alternatively propose that Ceres’s domes form by solid-state flow within the compositionally heterogeneous crust, a mechanism directly analogous to salt tectonics on Earth. We use numerical simulations to illustrate that differential loading of a crust with compositional heterogeneity on a scale of tens of kilometres can produce dome-like features of scale similar to those observed. The mechanism requires the presence of low-viscosity and low-density, possibly ice-rich, material in the upper 1–10 km of the subsurface. Such substantial regional heterogeneity in Ceres’s crustal composition is consistent with observations from the National Aeronautics and Space Administration’s Dawn mission. We conclude that deformation analogous to that in terrestrial salt tectonics is a viable alternative explanation for the observed surface morphologies, and is consistent with Ceres being both cold and geologically active.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41561-019-0453-0","usgsCitation":"Bland, M.T., Buczkowski, D.L., Sizemore, H.G., Ermakov, A.I., King, S.D., Sori, M.M., Raymond, C., Castillo-Rogez, J.C., and Russell, C., 2019, Dome formation on Ceres by sold-state flow analogous to terrestrial salt tectonics: Nature Geoscience, v. 12, p. 797-801, https://doi.org/10.1038/s41561-019-0453-0.","productDescription":"5 p.","startPage":"797","endPage":"801","ipdsId":"IP-105255","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":467324,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/98836","text":"External Repository"},{"id":377527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Ceres","volume":"12","noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":796247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buczkowski, D. 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D","contributorId":238466,"corporation":false,"usgs":false,"family":"King","given":"S.","email":"","middleInitial":"D","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":796251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sori, M. M.","contributorId":238467,"corporation":false,"usgs":false,"family":"Sori","given":"M.","email":"","middleInitial":"M.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":796252,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raymond, C. A.","contributorId":238468,"corporation":false,"usgs":false,"family":"Raymond","given":"C. A.","affiliations":[{"id":47712,"text":"Jet Propulsion Lab","active":true,"usgs":false}],"preferred":false,"id":796253,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Castillo-Rogez, J. C.","contributorId":177375,"corporation":false,"usgs":false,"family":"Castillo-Rogez","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":796254,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Russell, C. T.","contributorId":238469,"corporation":false,"usgs":false,"family":"Russell","given":"C. T.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":796255,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70227145,"text":"70227145 - 2019 - Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations","interactions":[],"lastModifiedDate":"2022-01-03T16:27:23.029256","indexId":"70227145","displayToPublicDate":"2019-09-27T09:10:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations","title":"Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations","docAbstract":"Golden alga Prymnesium parvum Carter is a euryhaline, ichthyotoxic haptophyte (Chromista). Because of its presumed coastal/marine origin where SO42- levels are high, the relatively high SO42- concentration of its brackish inland habitats, and the sensitivity of marine chromists to sulfur deficiency, this study examined whether golden alga growth is sensitive to SO42- concentration. Fluoride is a ubiquitous ion that has been reported at higher levels in golden alga habitat; thus, the influence of F- on growth also was examined. In low-salinity (5 psu) artificial seawater medium, overall growth was SO42—dependent up to 1000 mg l-1 using MgSO4 or Na2SO4 as source; the influence on growth rate, however, was more evident with MgSO4. Transfer from 5 to 30 psu inhibited growth when salinity was raised with NaCl but in the presence of seawater levels of SO42-, these effects were fully reversed with MgSO4 as source and only partially reversed with Na2SO4. Growth inhibition was not observed after acute transfer to 30 psu in a commercial sea salt mixture. In 5-psu medium, F- inhibited growth at all concentrations tested. These observations support the hypothesis that spatial differences in SO42- –but not F-–concentration help drive the inland distribution and growth of golden alga and also provide physiological relevance to reports of relatively high Mg2+ concentrations in golden alga habitat. At high salinity, however, the ability of sulfate to maintain growth under osmotic stress was weak and overshadowed by the importance of Mg2+. A mechanistic understanding of growth responses of golden alga to SO42-, Mg2+ and other ions at environmentally relevant levels and under different salinity scenarios will be necessary to clarify their ecophysiological and evolutionary relevance.
","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0223266","usgsCitation":"Rashel, R.B., and Patino, R., 2019, Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations: PLoS ONE, v. 14, no. 9, p. 1-19, https://doi.org/10.1371/journal.pone.0223266.","productDescription":"e0223266, 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-107294","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":459717,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0223266","text":"Publisher Index Page"},{"id":393741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Rashel, Rakib B.","contributorId":270695,"corporation":false,"usgs":false,"family":"Rashel","given":"Rakib","email":"","middleInitial":"B.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":829780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":829779,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215281,"text":"70215281 - 2019 - Survival and movements of head‐started Mojave desert tortoises","interactions":[],"lastModifiedDate":"2020-10-14T23:12:57.741594","indexId":"70215281","displayToPublicDate":"2019-09-26T18:08:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Survival and movements of head‐started Mojave desert tortoises","docAbstract":"Head‐starting is a conservation strategy in which young animals are protected in captivity temporarily before their release into the wild at a larger size, when their survival is presumably increased. The Mojave desert tortoise (Gopherus agassizii) is in decline, and head‐starting has been identified as one of several conservation measures to assist in recovery. To evaluate the efficacy of indoor head‐starting, we released and radio‐tracked 68 juvenile tortoises from a 2015 cohort in the Mojave National Preserve, California, USA. We released 20 tortoises at hatching (control) in September 2015, and reared 28 indoors and 20 outdoors in predator‐proof enclosures for 7 months before releasing them in April 2016. We monitored tortoises at least weekly after release until 27 October 2016, and documented survivorship, movement, and surface activity. We estimated survivorship by treatment and evaluated effects of treatment, proximity to a raven (Corvus corax) nest (predator) coincidentally established after release, distance moved between monitoring events, surface activity, and release size on individual fate in a generalized linear model. Although indoor head‐start tortoises reached the size of 5–6‐year‐old wild tortoises by release at 7 months of age, survival did not differ significantly among the 3 treatment groups. Combined annual survival was 0.44 (95% CI = 0.34–0.58). Tortoises that were closer to an active raven nest were significantly more likely to die, as were those seen more often outside their burrows and active aboveground. Predicted estimates for short‐term probability of survival approached 1.0 as distance from a raven nest exceeded approximately 1.6 km. Rearing treatment, movement distance, and body size were not significant predictors of fate over the 1‐year monitoring period. Head‐started tortoises released ≥1.6 km from areas of raven activity will likely have higher short‐term survival. Population recovery through head‐starting alone is unlikely to be successful if systemic ecosystem‐level issues, such as habitat degradation and conditions that promote human‐subsidized predators, are not ameliorated. © 2019 The Wildlife Society.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21758","usgsCitation":"Daly, J., Buhlmann, K., Todd, B., Moore, C.T., Peaden, J., and Tuberville, T., 2019, Survival and movements of head‐started Mojave desert tortoises: Journal of Wildlife Management, v. 83, no. 8, p. 1700-1710, https://doi.org/10.1002/jwmg.21758.","productDescription":"11 p.","startPage":"1700","endPage":"1710","ipdsId":"IP-104712","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":379396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.51599121093749,\n 34.77771580360469\n ],\n [\n -114.686279296875,\n 34.93548199355901\n ],\n [\n -114.664306640625,\n 35.02999636902566\n ],\n [\n -115.23559570312499,\n 35.483038134069574\n ],\n [\n -116.3232421875,\n 35.38904996691167\n ],\n [\n -116.4935302734375,\n 34.94899072578227\n ],\n [\n -116.3067626953125,\n 34.70097741472011\n ],\n [\n -115.2740478515625,\n 34.54728700119802\n ],\n [\n -114.75219726562499,\n 34.40237742424137\n ],\n [\n -114.6368408203125,\n 34.51560953848204\n ],\n [\n -114.43359375,\n 34.465806327688526\n ],\n [\n -114.51599121093749,\n 34.77771580360469\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Daly, J. A.","contributorId":243070,"corporation":false,"usgs":false,"family":"Daly","given":"J. A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":801474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhlmann, K. A.","contributorId":239456,"corporation":false,"usgs":false,"family":"Buhlmann","given":"K. A.","affiliations":[{"id":47860,"text":"University of Georgia Savannah River Ecology Laboratory, Aiken, SC, USA","active":true,"usgs":false}],"preferred":false,"id":801475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, B. D.","contributorId":243071,"corporation":false,"usgs":false,"family":"Todd","given":"B. D.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":801476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":801477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peaden, J. M.","contributorId":243072,"corporation":false,"usgs":false,"family":"Peaden","given":"J. M.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":801478,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tuberville, T. D.","contributorId":243073,"corporation":false,"usgs":false,"family":"Tuberville","given":"T. D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":801479,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}