Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 378 million barrels of oil and 7 trillion cubic feet of gas in the Grand Erg/Ahnet Province of Algeria.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193031","usgsCitation":"Schenk, C.J., Mercier, T.J., Tennyson, M.E., Finn, T.M., Le, P.A., Pitman, J.K., Drake, R.M., II, Brownfield, M.E., Gaswirth, S.B., and Leathers-Miller, H.M., 2019, Assessment of undiscovered conventional oil and gas resources of the Grand Erg/Ahnet Province, Algeria, 2018: U.S. Geological Survey Fact Sheet 2019–3031, 2 p., https://doi.org/10.3133/fs20193031.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-106641","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":364818,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3031/fs20193031.pdf","text":"Report","size":"716 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3031"},{"id":364817,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3031/coverthb.jpg"}],"country":"Algeria","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[11.99951,23.47167],[8.57289,21.56566],[5.67757,19.60121],[4.26742,19.15527],[3.15813,19.05736],[3.14666,19.69358],[2.68359,19.85623],[2.06099,20.14223],[1.82323,20.61081],[-1.55005,22.79267],[-4.92334,24.97457],[-8.6844,27.39574],[-8.66512,27.58948],[-8.66559,27.65643],[-8.67412,28.84129],[-7.05923,29.57923],[-6.06063,29.7317],[-5.24213,30.00044],[-4.85965,30.50119],[-3.69044,30.89695],[-3.6475,31.63729],[-3.06898,31.7245],[-2.6166,32.09435],[-1.3079,32.26289],[-1.12455,32.65152],[-1.38805,32.86402],[-1.73345,33.91971],[-1.79299,34.52792],[-2.16991,35.1684],[-1.2086,35.71485],[-0.12745,35.88866],[0.50388,36.30127],[1.46692,36.60565],[3.1617,36.7839],[4.81576,36.86504],[5.32012,36.71652],[6.26182,37.11066],[7.33038,37.11838],[7.73708,36.88571],[8.42096,36.94643],[8.21782,36.43318],[8.37637,35.47988],[8.14098,34.65515],[7.52448,34.09738],[7.61264,33.34411],[8.43047,32.74834],[8.4391,32.50628],[9.0556,32.10269],[9.48214,30.30756],[9.80563,29.42464],[9.86,28.95999],[9.68388,28.14417],[9.75613,27.68826],[9.62906,27.14095],[9.71629,26.51221],[9.31941,26.09432],[9.91069,25.36545],[9.94826,24.93695],[10.30385,24.37931],[10.77136,24.56253],[11.56067,24.09791],[11.99951,23.47167]]]},\"properties\":{\"name\":\"Algeria\"}}]}","contact":" in eastern North America","title":"Roost- and perch-site selection by Golden Eagles (Aquila chrysaetos) in eastern North America","docAbstract":"Birds select critical resources to meet needs that vary in response to spatial, temporal, and individual variation. As an example, perch or roost sites may be at locations that provide protection from predators, mobbing, or inclement weather. Applied to large, soaring predators, this theory suggests that they may select perch and roost sites near food resources or at sites where environmental updrafts develop. To test these theories, we characterized selection of nonflight locations throughout the annual cycle for Golden Eagles (Aquila chrysaetos) in eastern North America. We determined factors associated with selection of perching (daytime) and roosting (nighttime) sites by eagles by comparing land cover and topographic characteristics of GPS telemetry locations for eagles (used) with random (available) locations. We separately assessed selection for perch and roost sites during each of 4 seasons (winter, summer, and spring and fall migration). Golden Eagles showed different selection patterns for perching by season and age. Throughout the year, eagles selected perch sites on steep slopes. The direction these slopes faced differed among seasons, with eagles selecting south-facing slopes in summer and east-facing slopes during migration. Adults showed greater preferences for broadleaf forests in summer and for ridges in fall. Patterns of perch-site use were consistent with selection for sites that provide thermal protection and access to thermal updrafts. We found few patterns of selection for roosting sites. Our analysis provides insight into decision-making by a longdistance migrant across its annual cycle and throughout its geographic range, and thus into how resource selection changes seasonally.
The Mississippi River Valley alluvial aquifer (MRVA) caps a shallow system of aquifers and confining units in the Mississippi Alluvial Plain (MAP) that extends across 45,000 square miles of the midwestern and southern United States from Illinois to Louisiana. Irrigation water from the MRVA is required to sustain extensive crop production, which has resulted in groundwater-level declines since the late 1920s equal to nearly half of its thickness and in reduced baseflow of streams. Increased groundwater withdrawal for irrigation is expected to continue and threatens complete and irreversible aquifer dewatering (depletion). The exact amount of dewatering in the MRVA is uncertain because its vertical extent is poorly defined and the effects of groundwater withdrawal on the aquifer are not well understood. To provide stakeholders and managers with information and tools that promote understanding of the hydrogeologic framework of the MAP extent and its role in water-resource management, the U.S. Geological Survey (USGS) Water Availability and Use Science Program has funded a 5-year effort to assess groundwater availability and project future sustainability of water resources. Part of this study involves mapping the bottom altitude and thickness of the aquifer by using compilations of hydrogeologic data and applications of geostatistical analytics. Results of this mapping effort, presented here, are intended to enhance characterization of the shallow hydrogeologic framework and direct future airborne, ground-based, and waterborne geophysical surveys. Data used in support of the findings presented in this report are available as a USGS data release (https://doi.org/10.5066/P9D9XR5F).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3426","usgsCitation":"Torak, L.J., and Painter, J.A., 2019, Geostatistical estimation of the bottom altitude and thickness of the Mississippi River Valley alluvial aquifer: U.S. Geological Survey Scientific Investigations Map 3426, 2 sheets, https://doi.org/10.3133/sim3426.","productDescription":"2 Plates: 28 x 34 inches; Data Release","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-100531","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":364621,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D9XR5F","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Digital surfaces of the bottom altitude and thickness of the Mississippi River Valley alluvial aquifer and site data within the Mississippi Alluvial Plain project region"},{"id":364619,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3426/sim3426_sheet01.pdf","text":"Sheet 1","size":"1.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3426"},{"id":364620,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3426/sim3426_sheet02.pdf","text":"Sheet 2","size":"1.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3426"},{"id":364618,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3426/coverthb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.054,30.4913 ], [ -94.054,38.5052 ], [ -86.5118,38.5052 ], [ -86.5118,30.4913 ], [ -94.054,30.4913 ] ] ] } } ] }","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road, Stephenson Center, Suite 129
Columbia, SC 29210
","tableOfContents":"- Introduction
- Data Compilation, Processing, and Filtering Prior to Estimation
- Geostatistical Analytics
- References
","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-06-20","noUsgsAuthors":false,"publicationDate":"2019-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Torak, Lynn J. 0000-0002-6658-0648 ljtorak@usgs.gov","orcid":"https://orcid.org/0000-0002-6658-0648","contributorId":213235,"corporation":false,"usgs":true,"family":"Torak","given":"Lynn","email":"ljtorak@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757530,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204500,"text":"70204500 - 2019 - The 2017-19 activity at Mount Agung in Bali (Indonesia): Intense unrest, monitoring, crisis response, evacuation, and eruption","interactions":[],"lastModifiedDate":"2020-10-01T19:26:29.310617","indexId":"70204500","displayToPublicDate":"2019-06-20T07:28:22","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":"The 2017-19 activity at Mount Agung in Bali (Indonesia): Intense unrest, monitoring, crisis response, evacuation, and eruption","docAbstract":"After 53 years of quiescence, Mount Agung awoke in August 2017, with intense seismicity, measurable ground deformation, and thermal anomalies in the summit crater. Although the seismic unrest peaked in late September and early October, the volcano did not start erupting until 21 November. The most intense explosive eruptions with accompanying rapid lava effusion occurred between 25 and 29 November. Smaller infrequent explosions and extrusions continue through the present (June 2019). The delay between intense unrest and eruption caused considerable challenges to emergency responders, local and national governmental agencies, and the population of Bali near the volcano, including over 140,000 evacuees. This paper provides an overview of the volcanic activity at Mount Agung from the viewpoint of the volcano observatory and other scientists responding to the volcanic crisis. We discuss the volcanic activity as well as key data streams used to track it. We provide evidence that magma intruded into the mid-crust in early 2017, and again in August of that year, prior to intrusion of an inferred dike between Mount Agung and Batur Caldera that initiated an earthquake swarm in late September. We summarize efforts to forecast the behavior of the volcano, to quantify exclusion zones for evacuations, and to work with emergency responders and other government agencies to make decisions during a complex and tense volcanic crisis.
1.Animal site fidelity structures space use, population demography and ultimately gene flow. Understanding the adaptive selection for site fidelity patterns provides a mechanistic understanding to both spatial and population processes. This can be achieved by linking space use with environmental variability (spatial and temporal) and demographic parameters. However, rarely is the environmental context that drives the selection for site fidelity behaviour fully considered.
2. We use ecological theory to understand whether the spatial and temporal variability in breeding site quality can explain the site fidelity behaviour and demographic patterns of Gunnison sage-grouse (Centrocercus minimus). We examined female site fidelity patterns across multiple spatial scales: proximity of consecutive year nest locations, space-use overlap within and across the breeding and brooding seasons, and fidelity to a breeding patch. We also examined the spatial and temporal variability in nest, chick, juvenile and adult survival.
3. We found Gunnison sage-grouse to be site faithful to their breeding patch, area of use within the patch and generally where they nest, suggesting an “Always Stay” site fidelity strategy. This is an optimal evolutionary strategy when site quality is unpredictable. Further, we found limited spatial variability in survival within age groups, suggesting little demographic benefit to moving among patches. We suggest Gunnison sage-grouse site fidelity is driven by the unpredictability of predation in a relatively homogeneous environment, the lack of benefits and likely costs to moving across landscape patches and leaving known lek and breeding/brooding areas.
4. Space use and demography are commonly studied separately. More so, site fidelity patterns are rarely framed in the context of ecological theory, beyond questions related to the win-stay:lose-switch rule. To move beyond describing patterns and understand the adaptive selection driving species movements and their demographic consequences require integrating movement, demography and environmental variability in a synthetic framework.
5. Site fidelity theory provides a coherent framework to simultaneously investigate the spatial and population ecology of animal populations. Using it to frame ecological questions will lead to a more mechanistic understanding of animal movement, spatial population structuring and meta-population dynamics.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.13390","usgsCitation":"Gerber, B.D., Hooten, M., Peck, C.P., Rice, M.B., Gammonley, J.H., Apa, A.D., and Davis, A.J., 2019, Extreme site fidelity as an optimal strategy in an unpredictable and homogeneous environment: Functional Ecology, v. 33, no. 9, p. 1695-1707, https://doi.org/10.1111/1365-2435.13390.","productDescription":"13 p.","startPage":"1695","endPage":"1707","ipdsId":"IP-093263","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467517,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.13390","text":"Publisher Index Page"},{"id":395249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Gunnison County, Saguache County","otherGeospatial":"Gunnison basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.1658935546875,\n 37.42252593456307\n ],\n [\n -104.732666015625,\n 37.42252593456307\n ],\n [\n -104.732666015625,\n 39.26203141523749\n ],\n [\n -108.1658935546875,\n 39.26203141523749\n ],\n [\n -108.1658935546875,\n 37.42252593456307\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Gerber, Brian D.","contributorId":187620,"corporation":false,"usgs":false,"family":"Gerber","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":832416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":832417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Christopher P.","contributorId":198345,"corporation":false,"usgs":false,"family":"Peck","given":"Christopher","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":832418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Mindy B.","contributorId":214399,"corporation":false,"usgs":false,"family":"Rice","given":"Mindy","email":"","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":832419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gammonley, James H.","contributorId":272965,"corporation":false,"usgs":false,"family":"Gammonley","given":"James","email":"","middleInitial":"H.","affiliations":[{"id":40103,"text":"cdpw","active":true,"usgs":false}],"preferred":false,"id":832420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Apa, Anthony D.","contributorId":272966,"corporation":false,"usgs":false,"family":"Apa","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":40103,"text":"cdpw","active":true,"usgs":false}],"preferred":false,"id":832421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Amy J.","contributorId":149854,"corporation":false,"usgs":false,"family":"Davis","given":"Amy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832422,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203321,"text":"sir20195039 - 2019 - Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions","interactions":[],"lastModifiedDate":"2019-06-20T09:36:30","indexId":"sir20195039","displayToPublicDate":"2019-06-19T15:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5039","displayTitle":"Simulation of Water Availability in the Southeastern United States for Historical and Potential Future Climate and Land-Cover Conditions","title":"Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions","docAbstract":"A study was conducted by the U.S. Geological Survey (USGS), in cooperation with the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPO LCC) and the Department of the Interior Southeast Climate Adaptation Science Center, to evaluate the hydrologic response of a daily time step hydrologic model to historical observations and projections of potential climate and land-cover change for the period 1952–2099. The model simulations were used to compute the potential changes in hydrologic response and streamflow statistics across the Southeastern United States, using historical observations of climate and streamflow. Thirteen downscaled general circulation models with four representative concentration pathways were used to represent a range of potential future changes in climate (a total of 45 future simulations) from the Coupled Model Intercomparison Project Phase 5. The streamflow statistics were selected to describe streamflow conditions that may be most useful in defining the suitability for each river or stream to support sustaining populations of priority aquatic species across the GCPO LCC. An application of the Precipitation-Runoff Modeling System (included as part of the USGS National Hydrologic Model) was used to develop the hydrologic simulations. The results showed increases in air temperature across the study area, with the highest increases occurring in the northern part of the study area during July to September. The results showed a mix of increases and decreases in precipitation accumulation across the study area and across seasons, with decreases in precipitation accumulation across all seasons for the southwestern part of the study area. Actual evapotranspiration decreased for the southeastern part of the study area and increased for the northwestern part of the study area. The results showed general decreases in runoff across the study area, with increases in runoff in areas surrounding large metropolitan regions where potential future increases in impervious area occur. Results from a statistical analysis (Kolmogorov-Smirnov test) showed that the downscaled general circulation models generally have more skill in producing historical streamflow statistics in the duration and magnitude categories and less skill in producing historical streamflow statistics in the frequency, rate of change, and timing categories for this study area. The potential changes in the streamflow statistics and the results of the Kolmogorov-Smirnov test are available through the GCPO LCC Conservation Planning Atlas, an online science-based mapping platform built specifically for land managers and planners.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195039","collaboration":"Prepared in cooperation with the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative and the Department of the Interior Southeast Climate Adaptation Science Center","usgsCitation":"LaFontaine, J.H., Hart, R.M., Hay, L.E., Farmer, W.H., Bock, A.R., Viger, R.J., Markstrom, S.L., Regan, R.S., and Driscoll, J.M., 2019, Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions: U.S. Geological Survey Scientific Investigations Report 2019–5039, 83 p., https://doi.org/10.3133/sir20195039.","productDescription":"Report: x, 83 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-075743","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":364749,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5039/coverthb.jpg"},{"id":364750,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5039/sir20195039.pdf","text":"Report","size":"63.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5039"},{"id":364806,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74X56PH","text":"USGS data release","description":"USGS data release","linkHelpText":"Model Input and Output for Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions"}],"country":"United States","state":"Alabama, Arkansas, Florida, Georgia, Illinois, Kansas, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, Tennessee, Texas, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.515625,\n 40.51379915504413\n ],\n [\n -95.185546875,\n 38.89103282648846\n ],\n [\n -95.2734375,\n 37.37015718405753\n ],\n [\n -97.294921875,\n 35.96022296929667\n ],\n [\n -97.646484375,\n 35.17380831799959\n ],\n [\n -95.97656249999999,\n 33.578014746143985\n ],\n [\n -95.537109375,\n 32.32427558887655\n ],\n [\n -96.328125,\n 31.50362930577303\n ],\n [\n -97.734375,\n 30.977609093348686\n ],\n [\n -96.85546875,\n 30.600093873550072\n ],\n [\n -96.240234375,\n 28.536274512989916\n ],\n [\n -93.69140625,\n 29.38217507514529\n ],\n [\n -91.93359375,\n 29.305561325527698\n ],\n [\n -90.087890625,\n 29.075375179558346\n ],\n [\n -89.12109375,\n 29.075375179558346\n ],\n [\n -89.47265625,\n 29.916852233070173\n ],\n [\n -88.24218749999999,\n 30.372875188118016\n ],\n [\n -86.484375,\n 30.372875188118016\n ],\n [\n -85.166015625,\n 29.6880527498568\n ],\n [\n -84.0234375,\n 29.916852233070173\n ],\n [\n -82.880859375,\n 29.38217507514529\n ],\n [\n -81.9140625,\n 28.998531814051795\n ],\n [\n -82.44140625,\n 29.611670115197377\n ],\n [\n -81.474609375,\n 31.42866311735861\n ],\n [\n -83.49609375,\n 34.74161249883172\n ],\n [\n -81.9140625,\n 35.24561909420681\n ],\n [\n -81.9140625,\n 37.3002752813443\n ],\n [\n -85.95703125,\n 35.53222622770337\n ],\n [\n -88.41796875,\n 37.020098201368114\n ],\n [\n -89.82421875,\n 39.232253141714885\n ],\n [\n -91.7578125,\n 39.232253141714885\n ],\n [\n -93.515625,\n 40.51379915504413\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road
Stephenson Center, Suite 129
Columbia, SC 29210
","tableOfContents":"- Acknowledgments
- Abstract
- Introduction
- Hydrologic Description of the Study Area
- Hydrologic Simulation Methods for Modeling the Southeastern United States
- Model Application and Hydrologic Simulations in the Southeastern United States
- Web Mapping Service of Simulated Streamflow Statistics
- Summary
- References Cited
- Appendix 1. Construction, Calibration, and Evaluation of the Southeastern U.S.Hydrologic Model
","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-06-19","noUsgsAuthors":false,"publicationDate":"2019-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hay, Lauren E. 0000-0003-3763-4595","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":211478,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":762142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":762144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bock, Andy R. 0000-0001-7222-6613","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":207395,"corporation":false,"usgs":true,"family":"Bock","given":"Andy","email":"","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":762143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":168799,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":762145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":146553,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven","email":"markstro@usgs.gov","middleInitial":"L.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":762146,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Regan, R. Steve 0000-0003-4803-8596 rsregan@usgs.gov","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":196973,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"rsregan@usgs.gov","middleInitial":"Steve","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":762147,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Driscoll, Jessica M. 0000-0003-3097-9603 jdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0003-3097-9603","contributorId":167585,"corporation":false,"usgs":true,"family":"Driscoll","given":"Jessica","email":"jdriscoll@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":762148,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70202680,"text":"sir20195017 - 2019 - Development of a flood-inundation map library and precipitation-runoff modeling for the Clear Fork Mohican River in and near Bellville, Ohio","interactions":[],"lastModifiedDate":"2019-06-20T09:28:26","indexId":"sir20195017","displayToPublicDate":"2019-06-19T15:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5017","displayTitle":"Development of a Flood-Inundation Map Library and Precipitation-Runoff Modeling for the Clear Fork Mohican River in and near Bellville, Ohio","title":"Development of a flood-inundation map library and precipitation-runoff modeling for the Clear Fork Mohican River in and near Bellville, Ohio","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Muskingum Watershed Conservancy District, led hydrologic and hydraulic analyses within the Clear Fork Mohican River Basin in and near Bellville, Ohio. The analyses included the development of digital flood-inundation maps for an approximately 2.5-mile reach of the Clear Fork Mohican River and the development of a precipitation-runoff model for a portion of the Clear Fork Mohican River Basin.
Data collection for the study involved the installation and operation of 2 streamgages (Clear Fork Mohican River at Bellville, Ohio, and Cedar Fork above Bellville, Ohio); 1 lake-level gage (Clear Fork Reservoir near Lexington, Ohio); 2 precipitation gages (Clear Fork Reservoir near Lexington, Ohio, and Rain Gage at Cedar Fork above Bellville, Ohio); and 12 submersible pressure transducers on Clear Fork Mohican River and 4 of its tributaries. Data collection also included field surveys of hydraulic structures and channel cross sections.
Flood profiles were computed for the 2.5-mile reach of the Clear Fork Mohican River by means of a one-dimensional step-backwater model. The model was calibrated to 16 measured events and to a portion (stages 9 to 11 feet) of the current stage-streamflow relation at the USGS streamgage Clear Fork Mohican River at Bellville, Ohio, and to stage recorded at a submersible pressure transducer site near the downstream study limit. After calibration the step-backwater model was used to compute nine flood profiles for stages ranging from 9 to 17 feet. The flood profiles were then used in combination with a digital elevation model to delineate the area that would be inundated at each stage.
A precipitation-runoff model was developed and calibrated using data from the streamgage, precipitation gage, and 11 submersible pressure transducers. The modeling included data during 10 runoff events that were used for model calibration and validation, with focus on 6 events. The Nash-Sutcliffe model efficiency coefficients for six peak streamflow events ranged from 0.459 to 0.851.
The models produced by this study can be used to assess possible flood mitigation options and define flood hazard areas that could contribute to the protection of life and property. The availability of flood-inundation maps, internet information from USGS streamgages, and forecasted stages from the National Weather Service could provide emergency management personnel and residents with information on forecasting floods, appropriate flood response activities, and post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195017","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District and Richland County","usgsCitation":"Ostheimer, C.J., and Huitger, C.A., 2019, Development of a flood-inundation map library and precipitation-runoff modeling for the Clear Fork Mohican River in and near Bellville, Ohio: U.S. Geological Survey Scientific Investigations Report 2019–5017, 34 p., including 1 appendix, https://doi.org/10.3133/sir20195017.","productDescription":"Report, iv, 34 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-100979","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":364753,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5017/coverthb.jpg"},{"id":364755,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95NMIDF","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial data sets for flood-inundation maps in and near Bellville, Ohio"},{"id":364754,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5017/sir20195017.pdf","text":"Report","size":"17.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5017"}],"country":"United States","state":"Ohio","county":"Richland County","city":"Bellville","otherGeospatial":"Clear Fork Mohican River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.39265441894531,\n 40.58475654701271\n ],\n [\n -82.40020751953125,\n 40.603526799885884\n ],\n [\n -82.52792358398436,\n 40.660847697284815\n ],\n [\n -82.57598876953125,\n 40.70875101828792\n ],\n [\n -82.62405395507812,\n 40.758700379161006\n ],\n [\n -82.68722534179688,\n 40.76182096906601\n ],\n [\n -82.72430419921875,\n 40.71916022743469\n ],\n [\n -82.71194458007812,\n 40.658764163202925\n ],\n [\n -82.49153137207031,\n 40.58345286156245\n ],\n [\n -82.41462707519531,\n 40.56937143958841\n ],\n [\n -82.39471435546875,\n 40.57328324298059\n ],\n [\n -82.39265441894531,\n 40.58475654701271\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Boulevard Ste 100
Columbus, OH 43229
","tableOfContents":"- Abstract
- Introduction
- Study Approach
- Creation of Flood-Inundation Map Library
- Precipitation-Runoff Modeling
- Summary
- References Cited
- Appendix 1. Precipitation-Runoff Model Parameters, Event Data Collected, and Results for the Clear Fork Mohican River Basin
","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2019-06-19","noUsgsAuthors":false,"publicationDate":"2019-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Ostheimer, Chad J. 0000-0002-4528-8867","orcid":"https://orcid.org/0000-0002-4528-8867","contributorId":213950,"corporation":false,"usgs":true,"family":"Ostheimer","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huitger, Carrie A. 0000-0003-4534-3245 chuitger@usgs.gov","orcid":"https://orcid.org/0000-0003-4534-3245","contributorId":207180,"corporation":false,"usgs":true,"family":"Huitger","given":"Carrie","email":"chuitger@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759456,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204662,"text":"70204662 - 2019 - Modulation of seismic activity in Kīlauea’s Upper East Rift Zone by summit pressurization","interactions":[],"lastModifiedDate":"2019-08-09T10:20:55","indexId":"70204662","displayToPublicDate":"2019-06-19T13:40:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Modulation of seismic activity in Kīlauea’s Upper East Rift Zone by summit pressurization","docAbstract":"Kīlauea Volcano is underlain by a complex, laterally-extensive magmatic plumbing system. Although in recent decades it has mainly erupted through vents along the middle East Rift Zone and summit caldera, eruptions can occur anywhere along its two laterally extensive rift zones, as demonstrated by the dramatic eruptive activity of 2018. Forecasting eruptive activity requires an understanding of whether an episode of volcano-seismic unrest at Kīlauea or a similar volcano is caused directly at the edges of an active magmatic intrusion or reservoir, or in a volume of wall rock at a distance from the intrusion. Seismic unrest in Kīlauea’s Upper East Rift Zone (UERZ) has to date been interpreted as the result of either magma intrusion in this region of the volcano or of stresses due to seaward flank migration. However, recent observations suggest that UERZ seismicity may result from variable pressurization of Kīlauea’s summit magma system. We analyze seismic and deformation (multi-temporal InSAR and GPS) data during a period of variable summit deformation and UERZ seismicity in mid- to late-2007 and calculate Coulomb stress changes on UERZ faults due to modeled summit inflation or deflation. UERZ seismicity during our study period can be explained entirely by stresses arising from pressure changes within Kīlauea’s two summit reservoirs. Furthermore, a comparison of UERZ fault plane solutions (FPS) calculated for this study to published UERZ FPS for previous periods suggests the UERZ has undergone a transition from a mechanically-strong, discontinuous and immature magma transport system to a mature, mechanically-weak and fully-connected transport system over the course of the 1983-2018 eruption.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G46000.1","usgsCitation":"Wauthier, C., Roman, D.C., and Poland, M.P., 2019, Modulation of seismic activity in Kīlauea’s Upper East Rift Zone by summit pressurization: Geology, 5 p., https://doi.org/10.1130/G46000.1.","productDescription":"5 p.","ipdsId":"IP-106972","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":366397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Wauthier, Christelle","contributorId":176224,"corporation":false,"usgs":false,"family":"Wauthier","given":"Christelle","email":"","affiliations":[],"preferred":false,"id":767965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roman, Diana C.","contributorId":176225,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":767966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767964,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204754,"text":"70204754 - 2019 - Widespread initiation, reactivation, and acceleration of landslides in the northern California Coast Ranges due to extreme rainfall","interactions":[],"lastModifiedDate":"2019-08-29T12:08:30","indexId":"70204754","displayToPublicDate":"2019-06-19T10:43:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Widespread initiation, reactivation, and acceleration of landslides in the northern California Coast Ranges due to extreme rainfall","docAbstract":"Episodically to continuously active slow-moving landslides are driven by precipitation.\n Climate change, which is altering both the frequency and magnitude of precipitation world21\nwide, is therefore predicted to have a major impact on landslides. Here we examine the\n behavior of hundreds of slow-moving landslides in northern California in response to large\n changes in annual precipitation that occurred between 2016 and 2018. We quantify the\n landslide displacement using repeat-pass radar interferometry and pixel offset tracking\n techniques on a novel dataset from the airborne NASA/JPL Uninhabited Aerial Vehicle Synthetic Aperture Radar. We found that 312 landslides were moving due to extreme\n rainfall during 2017, compared to 119 during 2016, which was the final year of a historic\n multi-year drought. However, with a return to below average rainfall in 2018, only 146\n landslides remained in motion. The increased number of landslides during 2017 was primarily accommodated by landslides that were smaller than the landslides that remained\n active between 2016 and 2018. Furthermore, by examining a subset of 51 landslides, we\nfound that 49 had increased velocities during 2017 when compared to 2016. Our results\nshow that slow-moving landslides are sensitive to large changes in annual precipitation,\n particularly the smaller and thinner landslides that likely experience larger basal pore\nwater pressure changes. Based on climate model predictions for the next century in California, which include increases in annual precipitation and increases in the frequency\n of dry-to-wet extremes, we hypothesize that there will be an overall increase in landslide\n activity.","language":"English","publisher":"Wiley","doi":"10.1029/2019JF005035","usgsCitation":"Handwerger, A.L., Fielding, E.J., Huang, M., Bennett, G.L., Liang, C., and Schulz, W.H., 2019, Widespread initiation, reactivation, and acceleration of landslides in the northern California Coast Ranges due to extreme rainfall: Journal of Geophysical Research: Earth Surface, v. 24, no. 7, p. 1782-1797, https://doi.org/10.1029/2019JF005035.","productDescription":"16 p.","startPage":"1782","endPage":"1797","ipdsId":"IP-108822","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467519,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jf005035","text":"External Repository"},{"id":366567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern California Coast Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.12628173828126,\n 40.686886382151116\n ],\n [\n -123.24737548828124,\n 39.614152077002664\n ],\n [\n -122.64587402343751,\n 39.743098286948275\n ],\n [\n -123.55499267578125,\n 40.79301881008675\n ],\n [\n -124.12628173828126,\n 40.686886382151116\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Handwerger, Alexander L.","contributorId":218095,"corporation":false,"usgs":false,"family":"Handwerger","given":"Alexander","email":"","middleInitial":"L.","affiliations":[{"id":39742,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.","active":true,"usgs":false}],"preferred":false,"id":768312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fielding, Eric J.","contributorId":218096,"corporation":false,"usgs":false,"family":"Fielding","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":39742,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.","active":true,"usgs":false}],"preferred":false,"id":768313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Mong-Han","contributorId":192699,"corporation":false,"usgs":false,"family":"Huang","given":"Mong-Han","email":"","affiliations":[],"preferred":false,"id":768314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Georgina L.","contributorId":218097,"corporation":false,"usgs":false,"family":"Bennett","given":"Georgina","email":"","middleInitial":"L.","affiliations":[{"id":39743,"text":"School of Environmental Sciences, University of East Anglia, Norwich, UK.","active":true,"usgs":false}],"preferred":false,"id":768315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liang, Cunren","contributorId":172629,"corporation":false,"usgs":false,"family":"Liang","given":"Cunren","email":"","affiliations":[],"preferred":false,"id":768316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":768317,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223130,"text":"70223130 - 2019 - Wildlife value orientation of landowners from five states in the upper midwest, USA","interactions":[],"lastModifiedDate":"2021-08-12T13:19:32.236053","indexId":"70223130","displayToPublicDate":"2019-06-19T08:16:24","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":"Wildlife value orientation of landowners from five states in the upper midwest, USA","docAbstract":"Five Upper Midwest states (Montana, North Dakota, South Dakota, Minnesota, Iowa) participated in a Plains and Prairie Landscape Conservation Cooperative (PPP-LCC) funded survey of landowners. All five surveys included a 13-item wildlife value orientation (WVO) scale to provide insight into how landowners in this region make land use decisions that affect wildlife habitat. Most landowners were utilitarian (59%), 11% were identified as mutualists, and pluralists and distanced landowners were 15% each. Pluralist and mutualist landowners placed more importance on wildlife considerations when making land use decisions compared to utilitarian and distanced landowners. However, landowners’ WVO was not related to their participation in United States Department of Agriculture (USDA) Farm Bill conservation programs. The proportion of WVO types among landowners varied considerably by age cohort. The proportion of utilitarians was highest for landowners born during the 1970s age cohorts and has since declined.
The United States’ supply of critical minerals has been a concern and a source of potential strategic vulnerabilities for U.S. economic and national security interests for decades (for example, see Strategic and Critical Minerals Stockpiling Act, 1939). More recently, with the rapid increase in the types of materials being used in advanced technologies (Fortier et al. 2018a), and geopolitical events surrounding the supply of rare earth elements (Ting and Seaman, 2013), among other developments, the critical minerals issue has again achieved a high level of visibility within the U.S. government (Executive Order 13817 (2017)).
","language":"English","publisher":"Society for Mining, Metallurgy & Exploration","usgsCitation":"Fortier, S.M., Hammarstrom, J.M., Ryker, S.J., Day, W.C., and Seal,, R., 2019, USGS critical minerals review: Mining Engineering, v. 71, no. 5, p. 35-47.","productDescription":"13 p.","startPage":"35","endPage":"47","ipdsId":"IP-107221","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":368760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368757,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=8926&page=35","linkFileType":{"id":5,"text":"html"}}],"volume":"71","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fortier, Steven M. 0000-0001-8123-5749","orcid":"https://orcid.org/0000-0001-8123-5749","contributorId":202406,"corporation":false,"usgs":true,"family":"Fortier","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":774203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":774204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryker, Sarah J. 0000-0002-1004-5611 sryker@usgs.gov","orcid":"https://orcid.org/0000-0002-1004-5611","contributorId":4100,"corporation":false,"usgs":true,"family":"Ryker","given":"Sarah","email":"sryker@usgs.gov","middleInitial":"J.","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":774205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":774206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seal,, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":141204,"corporation":false,"usgs":true,"family":"Seal,","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":774207,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204102,"text":"70204102 - 2019 - Ten-million years of activity within the Eastern California Shear Zone from U-Pb dating of fault-zone opal","interactions":[],"lastModifiedDate":"2019-07-05T15:54:31","indexId":"70204102","displayToPublicDate":"2019-06-18T15:42:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Ten-million years of activity within the Eastern California Shear Zone from U-Pb dating of fault-zone opal","docAbstract":"Reconstructions of long-term fault activity are essential for understanding both the mechanisms controlling fault behavior and accurate earthquake hazard assessments. Increasing evidence for temporal variations in strain accumulation suggests non-uniform strain rates over a range of historic to geologic timescales. The paucity of long-term records of fault activity has limited our ability to resolve these variations. We present a method for constraining long-term fault activity based on U-Pb dating of fault-related opal from secondary fault segments within the Eastern California Shear Zone (ECSZ). The presence of sheared and breccia-cemented opaline silica within well-exposed faults at near-surface conditions suggest that opal formation is associated with high-magnitude earthquakes capable of surface rupture (>6 M). Temporal constraints from sheared syntectonic opal (n=74) on related secondary faults from this study provide new insights on the timing of fault initiation, reactivation, and longevity. The oldest dates obtained indicate that ECSZ activity commenced at or before 10 Ma. Multiple deformation events dated within a single structure on episodically deposited and sheared opal (up to six generations), demonstrate that fault reactivation occurred over 105 year timescales (0.7-0.1 Ma). Relative probabilities of dated deformation events can be used to evaluate changes in fault activity in the past 2.5 Ma (n=60). This analysis indicates enhanced fault activity starting at 2 Ma and peaking around 1 Ma, possibly due to fault-interactions and distribution of deformation between the ECSZ and the San Andreas Fault.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2019.05.047","usgsCitation":"Nuriel, P., Miller, D., Schmidt, K.M., Coble, M.A., and Maher, K., 2019, Ten-million years of activity within the Eastern California Shear Zone from U-Pb dating of fault-zone opal: Earth and Planetary Science Letters, v. 521, p. 37-45, https://doi.org/10.1016/j.epsl.2019.05.047.","productDescription":"9 p.","startPage":"37","endPage":"45","ipdsId":"IP-076946","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467521,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2019.05.047","text":"Publisher Index Page"},{"id":365312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.7841796875,\n 32.91648534731439\n ],\n [\n -114.82910156249999,\n 32.91648534731439\n ],\n [\n -114.82910156249999,\n 34.84987503195418\n ],\n [\n -118.7841796875,\n 34.84987503195418\n ],\n [\n -118.7841796875,\n 32.91648534731439\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"521","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nuriel, Perach","contributorId":201387,"corporation":false,"usgs":false,"family":"Nuriel","given":"Perach","email":"","affiliations":[],"preferred":false,"id":765517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Kevin M. 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":1985,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coble, Matthew A.","contributorId":200372,"corporation":false,"usgs":false,"family":"Coble","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":765519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maher, Kate","contributorId":190440,"corporation":false,"usgs":false,"family":"Maher","given":"Kate","email":"","affiliations":[],"preferred":false,"id":765520,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203723,"text":"ofr20191067 - 2019 - Monitoring protocol development and assessment for narrowly endemic toads in Nevada, 2018","interactions":[],"lastModifiedDate":"2019-06-20T09:27:25","indexId":"ofr20191067","displayToPublicDate":"2019-06-18T15:33:07","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":"2019-1067","displayTitle":"Monitoring Protocol Development and Assessment for Narrowly Endemic Toads in Nevada, 2018","title":"Monitoring protocol development and assessment for narrowly endemic toads in Nevada, 2018","docAbstract":"Several species and subspecies of toads are endemic to small spring systems in the Great Basin, and their restricted ranges and habitat extent make them vulnerable to environmental perturbations. Very little is known about several of these toad populations, so a group of stakeholders including the U.S. Geological Survey, U.S. Fish and Wildlife Service, Bureau of Land Management, Nevada Department of Wildlife, the U.S. Navy, U.S. Forest Service, and Oregon State University met to discuss information needs on these populations and to develop a monitoring protocol that would detect population changes over time. In cooperation with the U.S. Fish and Wildlife Service, the U.S. Geological Survey implemented the proposed survey protocol, a multi-state occupancy design, for three sites: Dixie Valley, Railroad Valley, and Hot Creek, to evaluate its ease of implementation and effectiveness. We found that the multi-state occupancy protocol worked well in the Dixie Valley and, with some refinement, would likely work well in the Railroad Valley. We suggest that capture-mark-recapture of adults might be a more effective approach at Hot Creek. For most life stages of most populations, detection probabilities were positively related to survey duration up to 20 minutes, and the best time of day to conduct surveys varied by life stage and population. We make population-specific suggestions for the number of surveys and their timing and duration. Annual surveys using the suggested survey protocols will likely allow estimation of trends in the proportion of area of each population existing in different population states (occupied, occupied with evidence of reproduction, and unoccupied) and in most cases can be readily implemented with minimal training or handling of toads.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191067","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Halstead, B.J., Kleeman, P.M., Duarte, A., Rose, J.P., Urquhart, K., Mellison, C., Guadalupe, K., Cota, M., Van Horne, R., Killion, A., and Ruehling, K., 2019, Monitoring protocol development and assessment for narrowly endemic toads in Nevada, 2018: U.S. Geological Survey Open-File Report 2019–1067, 28 p., https://doi.org/10.3133/ofr20191067.","productDescription":"Report: vi, 28 p.; Data release","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-106829","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":364708,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1067/coverthb.jpg"},{"id":364707,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1067/ofr20191067.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1067"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Dixie Valeey, Great Basin Watershed, Hot Creek, Railroad Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.7080078125,\n 35.17380831799959\n ],\n [\n -114.93896484374999,\n 35.42486791930558\n ],\n [\n -114.85107421875,\n 35.871246850027966\n ],\n [\n -114.36767578124999,\n 36.4566360115962\n ],\n [\n -113.75244140624999,\n 36.87962060502676\n ],\n [\n -112.7197265625,\n 37.71859032558816\n ],\n [\n -111.51123046875,\n 39.45316112807394\n ],\n [\n -112.0166015625,\n 41.934976500546604\n ],\n [\n -112.5,\n 42.52069952914966\n ],\n [\n -113.9501953125,\n 42.61779143282346\n ],\n [\n -115.400390625,\n 42.09822241118974\n ],\n [\n -116.45507812500001,\n 41.672911819602085\n ],\n [\n -117.90527343750001,\n 42.293564192170095\n ],\n [\n -119.88281249999999,\n 42.58544425738491\n ],\n [\n -120.32226562500001,\n 41.705728515237524\n ],\n [\n -120.32226562500001,\n 40.613952441166596\n ],\n [\n -120.0146484375,\n 39.232253141714885\n ],\n [\n -119.794921875,\n 38.47939467327645\n ],\n [\n -118.43261718749999,\n 37.996162679728116\n ],\n [\n -117.46582031249999,\n 36.98500309285596\n ],\n [\n -116.8505859375,\n 36.20882309283712\n ],\n [\n -115.7080078125,\n 35.17380831799959\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
","tableOfContents":"- Abstract
- Introduction
- Methods
- Results
- Discussion
- Summary
- References Cited
","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-06-18","noUsgsAuthors":false,"publicationDate":"2019-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":763815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":763818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Urquhart, Kris","contributorId":216068,"corporation":false,"usgs":false,"family":"Urquhart","given":"Kris","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":763819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mellison, Chad","contributorId":216069,"corporation":false,"usgs":false,"family":"Mellison","given":"Chad","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":763820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guadalupe, Kevin","contributorId":216070,"corporation":false,"usgs":false,"family":"Guadalupe","given":"Kevin","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":763821,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cota, Melanie","contributorId":216071,"corporation":false,"usgs":false,"family":"Cota","given":"Melanie","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":763822,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van Horne, Rachel","contributorId":216072,"corporation":false,"usgs":false,"family":"Van Horne","given":"Rachel","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":763823,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Killion, Alexa 0000-0001-6459-8935","orcid":"https://orcid.org/0000-0001-6459-8935","contributorId":216250,"corporation":false,"usgs":false,"family":"Killion","given":"Alexa","email":"","affiliations":[],"preferred":false,"id":764331,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ruehling, Kelsey 0000-0001-7926-5543","orcid":"https://orcid.org/0000-0001-7926-5543","contributorId":216251,"corporation":false,"usgs":false,"family":"Ruehling","given":"Kelsey","email":"","affiliations":[],"preferred":true,"id":764332,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70203851,"text":"70203851 - 2019 - iCoast – Did the Coast Change?: Storm-impact model verification using citizen scientists","interactions":[],"lastModifiedDate":"2019-06-18T15:20:50","indexId":"70203851","displayToPublicDate":"2019-06-18T15:20:07","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"iCoast – Did the Coast Change?: Storm-impact model verification using citizen scientists","docAbstract":"The USGS provides model predictions of severe storm impacts prior to landfall based on pre-storm morphology and predicted total water levels, including waves and surge. Presented in near real time on the USGS Coastal Change Hazard Portal, they provide coastal residents, scientists, and emergency managers valuable coastal response information. iCoast – Did the Coast Change?, an online tool for comparing pre- and post-storm photography, allows volunteer citizen scientist help researchers classify storm impacts through aerial photography. Using spatially matched pre- and post-storm image pairs from Hurricane Sandy, iCoast users identified the coastal processes seen in each image. These classifications were compared to the predictive model probabilities just prior to Sandy’s landfall. User classifications agreed with the model predictions with a high degree of confidence for dune erosion and overwash. However, for inundation, user classifications, limited to observations of island breaching, were less confident and should be used with caution","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the 9th International Conference Coastal Sediments 2019","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"Coastal Sediments 2019","conferenceDate":"May 27-31, 2019","conferenceLocation":"Tampa/St. Pete, Florida ","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0124","usgsCitation":"Morgan, K.L., Plant, N.G., Stockdon, H.F., and Richard J. Snell, 2019, iCoast – Did the Coast Change?: Storm-impact model verification using citizen scientists, in Proceedings of the 9th International Conference Coastal Sediments 2019, Tampa/St. Pete, Florida , May 27-31, 2019, p. 1424-1438, https://doi.org/10.1142/9789811204487_0124.","productDescription":"15 p.","startPage":"1424","endPage":"1438","ipdsId":"IP-105504","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":364801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364732,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1142/9789811204487_0124"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Morgan, Karen L. M. 0000-0002-2994-5572 kmorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-2994-5572","contributorId":193094,"corporation":false,"usgs":true,"family":"Morgan","given":"Karen","email":"kmorgan@usgs.gov","middleInitial":"L. M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":764458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":764459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":764460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richard J. Snell 0000-0002-7831-075X","orcid":"https://orcid.org/0000-0002-7831-075X","contributorId":216299,"corporation":false,"usgs":false,"family":"Richard J. Snell","affiliations":[{"id":39391,"text":"Cherokee Nation Technologies contracting to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":764461,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203900,"text":"70203900 - 2019 - Event detection performance of the PLUM earthquake early warning algorithm in southern California","interactions":[],"lastModifiedDate":"2019-08-13T16:01:01","indexId":"70203900","displayToPublicDate":"2019-06-18T12:49:15","publicationYear":"2019","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":"Event detection performance of the PLUM earthquake early warning algorithm in southern California","docAbstract":"We test the Japanese ground‐motion‐based earthquake early warning (EEW) algorithm, propagation of local undamped motion (PLUM), in southern California with application to the U.S. ShakeAlert system. In late 2018, ShakeAlert began limited public alerting in Los Angeles to areas of expected modified Mercalli intensity (IMMI) 4.0+ for magnitude 5.0+ earthquakes. Most EEW systems, including ShakeAlert, use source‐based methods: they estimate the location, magnitude, and origin time of an earthquake from P waves and use a ground‐motion prediction equation to identify regions of expected strong shaking. The PLUM algorithm uses observed ground motions directly to define alert areas and was developed to address deficiencies in the Japan Meteorological Agency source‐based EEW system during the 2011 Mw 9.0 Tohoku earthquake sequence. We assess PLUM using (a) a dataset of 193 magnitude 3.5+ earthquakes that occurred in southern California between 2012 and 2017 and (b) the ShakeAlert testing and certification suite of 49 earthquakes and other seismic signals. The latter suite includes events that challenge the current ShakeAlert algorithms. We provide a first‐order performance assessment using event‐based metrics similar to those used by ShakeAlert. We find that PLUM can be configured to successfully issue alerts using IMMI trigger thresholds that are lower than those implemented in Japan. Using two stations, a trigger threshold of IMMI 4.0 for the first station and a threshold of IMMI 2.5 for the second station PLUM successfully detect 12 of 13 magnitude 5.0+ earthquakes and issue no false alerts. PLUM alert latencies were similar to and in some cases faster than source‐based algorithms, reducing area that receives no warning near the source that generally have the highest ground motions. PLUM is a simple, independent seismic method that may complement existing source‐based algorithms in EEW systems, including the ShakeAlert system, even when alerting to light (IMMI 4.0) or higher ground‐motion levels.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180326","usgsCitation":"Cochran, E.S., Bunn, J., Minson, S.E., Baltay Sundstrom, A.S., Kilb, D.L., Kodera, Y., and Hoshiba, M., 2019, Event detection performance of the PLUM earthquake early warning algorithm in southern California: Bulletin of the Seismological Society of America, v. 109, no. 4, https://doi.org/10.1785/0120180326.","productDescription":"18 p.","startPage":"1524-1541","ipdsId":"IP-103549","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":364838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364822,"type":{"id":15,"text":"Index 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\"}}]}","volume":"109","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":764652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunn, Julian J.","contributorId":216379,"corporation":false,"usgs":false,"family":"Bunn","given":"Julian","middleInitial":"J.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":764653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":764654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baltay, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":764655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kilb, Deborah L.","contributorId":216380,"corporation":false,"usgs":false,"family":"Kilb","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":37799,"text":"SCRIPPS","active":true,"usgs":false}],"preferred":false,"id":764656,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kodera, Y.","contributorId":216381,"corporation":false,"usgs":false,"family":"Kodera","given":"Y.","affiliations":[{"id":39398,"text":"JMA","active":true,"usgs":false}],"preferred":false,"id":764657,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoshiba, Mitsuyuki","contributorId":216382,"corporation":false,"usgs":false,"family":"Hoshiba","given":"Mitsuyuki","email":"","affiliations":[{"id":39398,"text":"JMA","active":true,"usgs":false}],"preferred":false,"id":764658,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203929,"text":"70203929 - 2019 - Response of water chemistry and young-of-year brook trout to channel and watershed liming in streams showing lagging recovery from acidic deposition","interactions":[],"lastModifiedDate":"2019-06-21T11:57:47","indexId":"70203929","displayToPublicDate":"2019-06-18T11:57:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Response of water chemistry and young-of-year brook trout to channel and watershed liming in streams showing lagging recovery from acidic deposition","docAbstract":"Reductions in sulfur emissions have initiated chemical recovery of surface waters impacted by acidic deposition in the Adirondack region of New York State. However, acidified streams remain common in the region, which limits recovery of brook trout (Salvelinus fontinalis) populations. To investigate liming as a method to accelerate recovery of brook trout, the channels of two acidified streams were limed annually from 2012 to 2015, and an entire watershed of a third acidified tributary was limed by helicopter in 2013. Stream flow, water chemistry, and density of young-of-year (YOY) brook trout were measured in limed streams, an untreated acidified stream, and a buffered reference stream. Lime additions increased pH and acid-neutralizing capacity and decreased inorganic monomeric aluminum concentrations to less than 2.0 μmol/L, the minimum concentration at which in situ brook trout mortality has been documented. However, of the two channel-limed streams, only stream T8 showed a significant response (P < 0.01) in YOY density, increasing from a mean of 0.4 fish/m2 before liming to 2.7 fish/m2 after liming. No YOY brook trout response was observed in the stream within the limed watershed. Groundwater inputs to streams were identified by relative differences in temperature and concentrations of silica and sodium. YOY brook trout densities increased only in the channel-limed stream (T8) with suitable groundwater inputs for fall spawning and a summer nursery. Results suggest that targeted liming of acidified streams with the necessary groundwater habitat could be beneficial in accelerating recovery of brook trout populations.
","language":"English","publisher":"Springer","doi":"10.1007/s11270-019-4186-x","usgsCitation":"Josephson, D.C., Lawrence, G.B., George, S.D., Siemion, J., Baldigo, B.P., and Kraft, C.E., 2019, Response of water chemistry and young-of-year brook trout to channel and watershed liming in streams showing lagging recovery from acidic deposition: Water, Air, & Soil Pollution, v. 230, no. 7, 144; 15 p., https://doi.org/10.1007/s11270-019-4186-x.","productDescription":"144; 15 p.","ipdsId":"IP-090819","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":364895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Honnedaga Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.8798942565918,\n 43.50398979639134\n ],\n [\n -74.77157592773438,\n 43.50398979639134\n ],\n [\n -74.77157592773438,\n 43.54008705264584\n ],\n [\n -74.8798942565918,\n 43.54008705264584\n ],\n [\n -74.8798942565918,\n 43.50398979639134\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"230","issue":"7","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Josephson, Daniel C","contributorId":216430,"corporation":false,"usgs":false,"family":"Josephson","given":"Daniel","email":"","middleInitial":"C","affiliations":[{"id":39417,"text":"Research Associate, Cornell University's Little Moose Station, Old Forge NY","active":true,"usgs":false}],"preferred":false,"id":764747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siemion, Jason 0000-0001-5635-6469 jsiemion@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-6469","contributorId":127562,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kraft, Clifford E.","contributorId":208499,"corporation":false,"usgs":false,"family":"Kraft","given":"Clifford","email":"","middleInitial":"E.","affiliations":[{"id":37811,"text":"Department of Natural Resources, Fernow Hall, Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":764751,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203437,"text":"sir20195043 - 2019 - Summary of climatic, geographic, geologic, and available hydrologic data and identification of data gaps for the Black Bear Creek watershed of the Pawnee Nation Tribal Jurisdictional Area, Oklahoma","interactions":[],"lastModifiedDate":"2019-06-18T14:45:48","indexId":"sir20195043","displayToPublicDate":"2019-06-18T10:34:13","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5043","displayTitle":"Summary of Climatic, Geographic, Geologic, and Available Hydrologic Data and Identification of Data Gaps for the Black Bear Creek Watershed of the Pawnee Nation Tribal Jurisdictional Area, Oklahoma","title":"Summary of climatic, geographic, geologic, and available hydrologic data and identification of data gaps for the Black Bear Creek watershed of the Pawnee Nation Tribal Jurisdictional Area, Oklahoma","docAbstract":"The Pawnee Nation is compiling a comprehensive water-management plan for the Pawnee Nation Tribal Jurisdictional Area in north-central Oklahoma. One of the first steps needed in preparing such a plan is a summary and analysis of available hydrologic data and reports that have been published for the area. In phase I of a three-phase, watershed-based approach to summary and analysis of water resources of the Pawnee Nation, the U.S. Geological Survey, in cooperation with the Pawnee Nation and Bureau of Indian Affairs, conducted a literature search and data analysis for the Black Bear Creek watershed within the Pawnee Nation Tribal Jurisdictional Area, referred to herein as the “Black Bear Creek study area.” This report summarizes the available data for the Black Bear Creek study area.
Climatic, geographic, geologic, water-use, and hydrologic data from previously published reports or databases were collected and analyzed for this report. Because of the limited amount of groundwater-quality data for the study area, a field collection of groundwater levels and water samples was conducted. Sixteen wells were identified, and groundwater levels were measured at each well. Eight wells were sampled, and water properties, major ions, and nutrients were measured.
Overall, there are few long-term monitoring stations to help determine trends of surface-water quality, groundwater quality, and groundwater levels across the study area. Establishing and maintaining long-term streamflow, surface-water-quality, groundwater-level, and groundwater-quality monitoring sites would greatly increase the understanding of the water resources in the Black Bear Creek study area. Additionally, water-use estimates would be greatly improved by metering groundwater withdrawals. Establishing hydrologic and water-quality trends and having improved estimates of water use can aid decision makers in the stewardship of the water resources in this area.
This report can aid the Pawnee Nation in prioritization of future projects and serve as a background document for the development of a jurisdiction-wide comprehensive water-management plan.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20195043","collaboration":"Prepared in cooperation with the Pawnee Nation and the Bureau of Indian Affairs","usgsCitation":"Varonka, M.S., 2019, Summary of climatic, geographic, geologic, and available hydrologic data and identification of data gaps for the Black Bear Creek watershed of the Pawnee Nation Tribal Jurisdictional Area, Oklahoma: U.S. Geological Survey Scientific Investigations Report 2019–5043, 39 p., https://doi.org/10.3133/sir20195043.","productDescription":"ix, 39 p.","numberOfPages":"53","onlineOnly":"N","ipdsId":"IP-105182","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":364751,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5043/coverthb.jpg"},{"id":364752,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5043/sir20195043.pdf","text":"Report","size":"4.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5043"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Pawnee National Tribal Jurisdictional Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.0751953125,\n 36.03133177633187\n ],\n [\n -96.39404296875,\n 36.03133177633187\n ],\n [\n -96.39404296875,\n 36.51405119943165\n ],\n [\n -97.0751953125,\n 36.51405119943165\n ],\n [\n -97.0751953125,\n 36.03133177633187\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oklahoma Water Science Center
U.S. Geological Survey
202 NW 66th Street, Building 7
Oklahoma City, OK 73116
","tableOfContents":"- Abstract
- Introduction
- Methods of Analysis
- Summary of Climatic, Geographic, and Geologic Data
- Summary of Available Hydrologic Data
- Identification of Data Gaps
- Summary
- References Cited
","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-06-18","noUsgsAuthors":false,"publicationDate":"2019-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Varonka, Matthew S. 0000-0003-3620-5262","orcid":"https://orcid.org/0000-0003-3620-5262","contributorId":203231,"corporation":false,"usgs":true,"family":"Varonka","given":"Matthew S.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762703,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70204629,"text":"70204629 - 2019 - Seasonal occurrence and abundance of dabbling ducks across the continental United States: Joint spatio-temporal modelling for the Genus Anas","interactions":[],"lastModifiedDate":"2019-08-07T09:55:37","indexId":"70204629","displayToPublicDate":"2019-06-18T09:52:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seasonal occurrence and abundance of dabbling ducks across the continental United States: Joint spatio‐temporal modelling for the Genus Anas","title":"Seasonal occurrence and abundance of dabbling ducks across the continental United States: Joint spatio-temporal modelling for the Genus Anas","docAbstract":"Estimating the distribution and abundance of wildlife is an essential task in species conservation, wildlife management and habitat prioritization. Although a host of methods and tools have been proposed to accomplish this undertaking, several challenges remain in accurately forecasting occurrence and abundance for highly mobile species. Exhibiting extensive geographic ranges with seasonally varying local occupancy, migratory ducks are exemplar highly mobile species and are foci for waterfowl conservation and management globally. With the goal of informing species conservation and management, our aim was to leverage citizen science data to estimate occurrence and relative abundance for ten dabbling duck species across the continental United States.","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12960","usgsCitation":"Humphreys, J.M., Murrow, J.L., Sullivan, J.D., and Prosser, D., 2019, Seasonal occurrence and abundance of dabbling ducks across the continental United States: Joint spatio-temporal modelling for the Genus Anas: Diversity and Distributions, v. 25, no. 9, p. 1497-1508, https://doi.org/10.1111/ddi.12960.","productDescription":"12 p.","startPage":"1497","endPage":"1508","ipdsId":"IP-099378","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467522,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12960","text":"Publisher Index Page"},{"id":366329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"25","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Humphreys, John M.","contributorId":217932,"corporation":false,"usgs":false,"family":"Humphreys","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":767835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murrow, Jennifer L.","contributorId":217933,"corporation":false,"usgs":false,"family":"Murrow","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":767836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Jeffery D.","contributorId":202910,"corporation":false,"usgs":false,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":767837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767834,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203979,"text":"70203979 - 2019 - Negative impacts of summer heat on Sierra Nevada tree seedlings","interactions":[],"lastModifiedDate":"2019-06-26T09:15:02","indexId":"70203979","displayToPublicDate":"2019-06-18T09:03:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Negative impacts of summer heat on Sierra Nevada tree seedlings","docAbstract":"Understanding the response of forests to climate change is important for predicting changes in biodiversity and ecosystem services, including carbon storage. Seedlings represent a key demographic stage in these responses, because seedling establishment is necessary for population persistence and spread, and because the conditions allowing seedlings to survive and grow are often more restrictive than those adults can tolerate. However, detailed long‐term data on the responses of individual seedlings to climatic variation are rare. Here, we analyze a decade of seedling growth and survival data collected in 25 long‐term plots located in Sequoia and Yosemite National Parks. The forest types represented range from lower‐elevation mixed conifer, to red fir‐dominated, to high‐elevation western white pine stands. Twelve species, including two oaks and ten conifers, are found across these plots. Survival and transition to larger size classes are modeled within a Bayesian framework as a function of species, size, fire, and various climate variables. We initially expected that precipitation‐related variables would have a strong effect on seedling survival and growth in this Mediterranean‐climate region and that some species might respond positively to higher temperatures if they are adapted to warmer low‐elevation areas or to higher‐than‐average temperatures if they are high‐elevation species whose growing seasons are limited by cold. However, we found that higher July maximum temperature or temperature anomalies were associated with lower survival and growth for most species, while precipitation and snow effects were weaker and more variable. Higher precipitation had a positive effect on survival of most species, but snow effects and precipitation effects on growth could be negative. Given the estimated climate responses, under potential future scenarios of higher summer temperatures and altered precipitation, most species are predicted to have lower survival and reduced growth. This is likely to favor species that have relatively high survival and growth and less negative responses to climatic shift (such as several of the pines) and perhaps lead to a more open forest structure—or potentially transition to non‐forest vegetation types where seedling recruitment does not keep pace with adult mortality.","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.2776","usgsCitation":"Moran, E.V., Das, A., Keeley, J., and Stephenson, N.L., 2019, Negative impacts of summer heat on Sierra Nevada tree seedlings: Ecosphere, v. 10, no. 6, e02776; 22 p., https://doi.org/10.1002/ecs2.2776.","productDescription":"e02776; 22 p.","ipdsId":"IP-107400","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467523,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2776","text":"Publisher Index Page"},{"id":437415,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96ENO3D","text":"USGS data release","linkHelpText":"Seedling and tree data from Sequoia National Park and Yosemite National Park"},{"id":365053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia National Park, Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.45046997070314,\n 36.3106987841827\n ],\n [\n -118.36395263671875,\n 36.41354670392873\n ],\n [\n -118.35159301757811,\n 36.44227556709968\n ],\n [\n -118.25408935546875,\n 36.47541104282962\n ],\n [\n -118.23760986328125,\n 36.49528553125808\n ],\n [\n -118.24447631835936,\n 36.52398412328937\n ],\n [\n -118.26507568359375,\n 36.55046568575947\n ],\n [\n -118.28567504882812,\n 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Merced","active":true,"usgs":false}],"preferred":false,"id":765070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":765071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":765072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":765069,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216035,"text":"70216035 - 2019 - Land-use change and the ecological consequences of personality in small mammals","interactions":[],"lastModifiedDate":"2020-11-04T00:22:08.54263","indexId":"70216035","displayToPublicDate":"2019-06-17T18:18:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Land-use change and the ecological consequences of personality in small mammals","docAbstract":"Many plants rely on animals for seed dispersal, but are all individuals equally effective at dispersing seeds? If not, then the loss of certain individual dispersers from populations could have cascade effects on ecosystems. Despite the importance of seed dispersal for forest ecosystems, variation among individual dispersers and whether land‐use change interferes with this process remains untested. Through a large‐scale field experiment conducted on small mammal seed dispersers, we show that an individual's personality affects its choice of seeds, as well as how distant and where seeds are cached. We also show that anthropogenic habitat modifications shift the distribution of personalities within a population, by increasing the proportion of bold, active, and anxious individuals and in‐turn affecting the potential survival and dispersal of seeds. We demonstrate that preserving diverse personality types within a population is critical for maintaining the key ecosystem function of seed dispersal.
Ecological distance-based spatial capture–recapture models (SCR) are a promising approach for simultaneously estimating animal density and connectivity, both of which affect spatial population processes and ultimately species persistence. We explored how SCR models can be integrated into reserve-design frameworks that explicitly acknowledge both the spatial distribution of individuals and their space use resulting from landscape structure. We formulated the design of wildlife reserves as a budget-constrained optimization problem and conducted a simulation to explore 3 different SCR-informed optimization objectives that prioritized different conservation goals by maximizing the number of protected individuals, reserve connectivity, and density-weighted connectivity. We also studied the effect on our 3 objectives of enforcing that the space-use requirements of individuals be met by the reserve for individuals to be considered conserved (referred to as home-range constraints). Maximizing local population density resulted in fragmented reserves that would likely not aid long-term population persistence, and maximizing the connectivity objective yielded reserves that protected the fewest individuals. However, maximizing density-weighted connectivity or preemptively imposing home-range constraints on reserve design yielded reserves of largely spatially compact sets of parcels covering high-density areas in the landscape with high functional connectivity between them. Our results quantify the extent to which reserve design is constrained by individual home-range requirements and highlight that accounting for individual space use in the objective and constraints can help in the design of reserves that balance abundance and connectivity in a biologically relevant manner.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.13369","usgsCitation":"Gupta, A., Dilkina, B., Morin, D., Fuller, A.K., Royle, A., Sutherland, C., and Gomes, C., 2019, Reserve design to optimize functional connectivity and animal density: Conservation Biology, v. 35, no. 5, p. 1023-1034, https://doi.org/10.1111/cobi.13369.","productDescription":"12 p.","startPage":"1023","endPage":"1034","ipdsId":"IP-102003","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467525,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.13369","text":"Publisher Index Page"},{"id":388399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gupta, Amrita 0000-0003-2643-5865","orcid":"https://orcid.org/0000-0003-2643-5865","contributorId":264600,"corporation":false,"usgs":false,"family":"Gupta","given":"Amrita","email":"","affiliations":[{"id":54512,"text":"Georgia Institute of Techniology","active":true,"usgs":false}],"preferred":false,"id":821726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dilkina, Bistra 0000-0002-6784-473X","orcid":"https://orcid.org/0000-0002-6784-473X","contributorId":264601,"corporation":false,"usgs":false,"family":"Dilkina","given":"Bistra","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":821727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morin, Dana","contributorId":264602,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":821728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":821725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":821729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sutherland, Chris","contributorId":264603,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":821730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomes, Carla","contributorId":264604,"corporation":false,"usgs":false,"family":"Gomes","given":"Carla","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":821731,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203909,"text":"70203909 - 2019 - Spatial patterns of meadow sensitivities to interannual climate variability in the Sierra Nevada","interactions":[],"lastModifiedDate":"2019-10-28T09:55:47","indexId":"70203909","displayToPublicDate":"2019-06-17T15:37:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of meadow sensitivities to interannual climate variability in the Sierra Nevada","docAbstract":"Conservation of montane meadows is a high priority for land and water managers given their critical role in buffering the effects of climate variability and their vulnerability to increasing temperatures and evaporative demands. Recent advances in cloud computing have provided new opportunities to examine ecological responses to climate variability over the past few decades, and at large spatial scales. In this study we characterized the sensitivities (magnitude and direction of the slope) of meadow vegetation responses to interannual variations in climate. We calculated sensitivity as the regression slope between a 35-year (1985-2016) time series of Landsat-derived vegetation indices characterizing late-season vegetation vigor and water balance variables from the Basin Characterization Model. We identified April 1 snowpack as the climate variable the majority of meadows were most sensitive to. We assessed how vegetation sensitivities to snowpack varied with hydrogeomorphic context (e.g., climate, geology, soils, watershed geometry and land cover) across the Sierra Nevada mountain range using factor analysis to reduce the dimensionality of the hydrogeomorphic data, and multiple linear regression to model sensitivity responses. We found that meadow sensitivities to snowpack varied with long-term average meadow climate, indicators of watershed subsurface water storage capacity, and indicators of meadow vegetation composition. Alpine and sub-alpine meadows with high average annual precipitation, but limited catchment subsurface storage exhibited the largest sensitivities. Our results provide a novel regional perspective on spatial patterns of meadow sensitivities to climate variability and the landscape-scale hydrogeomorphic factors that influence late-season water availability in meadow ecosystems in the Sierra Nevada.","language":"English","publisher":"Wiley","doi":"10.1002/eco.2128","usgsCitation":"Albano, C.M., McClure, M.L., Gross, S.E., Kitlasten, W., Soulard, C., Charles Morton, and Huntington, J., 2019, Spatial patterns of meadow sensitivities to interannual climate variability in the Sierra Nevada: Ecohydrology, v. 12, no. 7, e2128, 20 p., https://doi.org/10.1002/eco.2128.","productDescription":"e2128, 20 p.","ipdsId":"IP-103662","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467526,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2128","text":"Publisher Index Page"},{"id":364849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364848,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/abs/10.1002/eco.2128"}],"country":"United States","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122,\n 37.5\n ],\n [\n -119.5,\n 37.5\n ],\n [\n -119.5,\n 40\n ],\n [\n -122,\n 40\n ],\n [\n -122,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Albano, Christine M.","contributorId":182427,"corporation":false,"usgs":false,"family":"Albano","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":764705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClure, Meredith L.","contributorId":216395,"corporation":false,"usgs":false,"family":"McClure","given":"Meredith","email":"","middleInitial":"L.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":764706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gross, Shana E.","contributorId":216396,"corporation":false,"usgs":false,"family":"Gross","given":"Shana","email":"","middleInitial":"E.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":764707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kitlasten, Wesley","contributorId":216397,"corporation":false,"usgs":true,"family":"Kitlasten","given":"Wesley","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soulard, Christopher 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":216394,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":764704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Charles Morton","contributorId":169457,"corporation":false,"usgs":false,"family":"Charles Morton","affiliations":[{"id":25514,"text":"UNR Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":764709,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huntington, Justin","contributorId":169456,"corporation":false,"usgs":false,"family":"Huntington","given":"Justin","email":"","affiliations":[{"id":25514,"text":"UNR Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":764710,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204213,"text":"70204213 - 2019 - Source-dependent amplification of earthquake ground motions in deep sedimentary basins","interactions":[],"lastModifiedDate":"2019-07-12T15:35:15","indexId":"70204213","displayToPublicDate":"2019-06-17T15:33:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Source-dependent amplification of earthquake ground motions in deep sedimentary basins","docAbstract":"Deep sedimentary basins amplify long-period shaking from seismic waves, increasing the seismic hazard for cities within such basins. We perform 3-D simulations of point source earthquakes distributed around the Seattle and Tacoma basins in Washington State, to examine the dependence of basin amplification on source azimuth, depth, and earthquake type. For periods between 1-10 s, the pattern of amplification is spatially heterogeneous and differs considerably with the source-to-site azimuth. For close-in earthquakes, the greatest basin amplification occurs towards the far side of the basin and ground motions from crustal earthquakes experience greater amplification than those from more vertically-incident, deeper intraplate earthquakes. Love and Rayleigh waves form similar spatial patterns for a given source location, although the magnitude of amplification varies. The source dependence of basin amplification is an important factor for seismic hazard assessment, both in the Seattle and Tacoma basins, and by extension for deep sedimentary basins worldwide.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL082474","usgsCitation":"Wirth, E.A., Vidale, J.E., Frankel, A.D., and Pratt, T.L., 2019, Source-dependent amplification of earthquake ground motions in deep sedimentary basins: Geophysical Research Letters, v. 46, no. 12, p. 6443-6450, https://doi.org/10.1029/2019GL082474.","productDescription":"8 p.","startPage":"6443","endPage":"6450","ipdsId":"IP-102754","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1455","collaboration":"In collaboration with Joint Agency Commercial Imagery Evaluation","usgsCitation":"Christopherson, J.B., Ramaseri Chandra, S.N., and Quanbeck, J.Q., 2019, 2019 Joint Agency Commercial Imagery Evaluation—Land remote sensing satellite compendium: U.S. Geological Survey Circular 1455, 191 p., https://doi.org/10.3133/cir1455.","productDescription":"xi, 191 p.","numberOfPages":"208","onlineOnly":"N","ipdsId":"IP-106384","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":364745,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1455/cir1455.pdf","text":"Report","size":"18.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1455"},{"id":364744,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1455/coverthb.jpg"}],"contact":"Director, Earth Resources Observation and Science Center (EROS)
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47914 252nd Street
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- Acknowledgments
- Introduction
- Changes in Remote Sensing
- History of Land Remote Sensing from Space
- References Cited
- Orbits of Earth Observation Satellites
- Remote Sensing Law and Policy
- References Cited
- An Overview of Russian Earth Observing Systems
- References Cited
- An Overview of Chinese Earth Observing Systems
- References Cited
- Appendix 1. Selected References
- Appendix 2. Recent and Future Launches
- Appendix 3. Land Remote Sensing Satellite Data Sheets
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