The Joint Agency Commercial Imagery Evaluation (JACIE) is a collaboration between five Federal agencies that are major users and producers of satellite land remote sensing data. In recent years, the JACIE group has observed ever-increasing numbers of remote sensing satellites being launched. This rapidly growing wave of new systems creates a need for a single reference for land remote sensing satellites that provides basic system specifications and linkage to any JACIE assessment that may have been completed on existing systems. This volume has been assembled by the Requirements, Capabilities, and Analysis for Earth Observation Project under the U.S. Geological Survey National Land Imaging Program as a contribution to the JACIE community. This is the first edition of the JACIE compendium, which is planned to be updated and released annually.
","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)
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Hurricane Michael made landfall near Mexico Beach and Tyndall Air Force Base in the Florida Panhandle, with maximum sustained winds over 160 miles per hour, on October 10, 2018. The maximum recorded storm tide was 15.55 feet above the North American Vertical Datum of 1988 (NAVD 88). The elevation of the maximum high-water mark, found in Port St. Joe, Florida, exceeded 20 feet above NAVD 88. The storm tide and winds destroyed much of the tourist town of Mexico Beach and caused extensive damage to the surrounding communities, including Tyndall Air Force Base, Panama City Beach, Port St. Joe, and Cape San Blas, Fla.
The U.S. Geological Survey (USGS), in cooperation with Federal Emergency Management Agency and Florida Division of Emergency Management, deployed a temporary monitoring network of water-level and barometric pressure sensors at 34 sites along the northwest coast of Florida to record the timing, areal extent, and magnitude of hurricane storm tide generated by Hurricane Michael. A total of 522 high-water marks were recovered and surveyed from 331 sites from Seaside, Fla. to Cedar Key, Fla. The USGS, in cooperation with Federal Emergency Management Agency and Florida Division of Emergency Management, displays real-time water-level data from long-term USGS streamflow stations, rapid deployment gages and National Oceanic and Atmospheric Administration tide-gage stations, updated hourly (or, in some cases, more frequently), through satellite telemetry, on the USGS Flood Event Viewer (https://stn.wim.usgs.gov/FEV/#Michael2018).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191059","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency and Florida Division of Emergency Management","usgsCitation":"Byrne, M.J., Sr., 2019, Monitoring storm tide from Hurricane Michael along the northwest coast of Florida, October 2018: U.S. Geological Survey Open-File Report 2019–1059, 10 p., https://doi.org/10.3133/ofr20191059.","productDescription":"vi, 10 p.","numberOfPages":"20","onlineOnly":"N","ipdsId":"IP-104232","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":364728,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1059/coverthb.jpg"},{"id":364729,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1059/ofr20191059.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1059"},{"id":399411,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_108709.htm"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.98974609375,\n 29.11377539511439\n ],\n [\n -82.96875,\n 29.11377539511439\n ],\n [\n -82.96875,\n 30.789036751261136\n ],\n [\n -86.98974609375,\n 30.789036751261136\n ],\n [\n -86.98974609375,\n 29.11377539511439\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
The world’s future oil and gas supplies depend on existing reserves and the additions to those reserves that may result, in part, from ongoing exploration and new discoveries. This Circular summarizes available oil and gas exploration data for the world outside the United States and Canada (the study area) through 2015. It updates U.S. Geological Survey Circulars 981, 1096, and 1288 (by D.H. Root, E.D. Attanasi, and R.L. Turner, 1987; E.D. Attanasi and D.H. Root, 1993; and E.D. Attanasi, P.A. Freeman, and J.A. Glovier, 2007). The exploration measures focus on the search for undiscovered conventional oil and gas accumulations.
The goal of this compilation, presentation, and analysis of exploration and discovery data is to identify, at the reconnaissance level, the areas explored for oil and gas and to characterize their degree of exploration maturity. Maps and graphs provide a visual summary of the exploration maturity of an area. The maps include both land and offshore areas. The maps show delineated prospective areas, which are the industry-defined areas of interest in the search for undiscovered conventional oil and gas accumulations. The maps also show explored areas, which are areas where the density of exploration and development drilling rules out new discoveries of large conventional petroleum accumulations.
Whereas the maps show the static state of oil and gas exploration, the dynamic measures of exploration progress are characterized graphically. The graphs show the growth in the delineated prospective and explored areas as a function of wildcat drilling. The relation between the expansion of the delineated prospective area and the rate of wildcat drilling is determined by the siting of the wildcat wells. Additional graphs show the magnitude of discoveries tied to specific delineated prospective areas. These graphs provide a way to evaluate the quality, in terms of discovered oil and gas, of areas identified by the dates when each area became prospective.
From 2006 through 2015, the delineated prospective area within the study area expanded at a rate of about 48,100 square miles per year. This is slightly above the expansion rate of 46,200 square miles per year from 1996 through 2005. From 2006 through 2015, the explored area expanded at a rate of about 12,900 square miles per year, which is somewhat greater than the rate of 11,300 square miles per year for the period from 1996 through 2005. The delineated prospective area established by 1970 accounts for 35 percent of the delineated prospective area established through 2015 but contains 70 percent of the oil and 52 percent of the natural gas discovered through 2015. From 2006 through 2015, offshore discoveries accounted for 71 percent of the oil and 78 percent of the gas discovered in the study area and 40 percent of the offshore wildcat wells were drilled in deep offshore areas (deeper than 200 meters water depth).
The delineated prospective area and explored area calculated with oil and gas wells and fields at depths of at least 10,000 feet are less than half of the respective areas calculated with all oil and gas wells and fields. The discovery histories of most regions indicate that average discovery sizes are generally larger in deeper geologic horizons. To correctly interpret the exploration maturity of a deep horizon, drilling and discovery data must be considered in the context of the geology of the area. Such analyses should be prepared at the level of the petroleum basin or subbasin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1450","collaboration":" ","usgsCitation":"Attanasi, E.D., and Freeman, P.A., 2019, Statistics of petroleum exploration in the world outside the United States and Canada through 2015: U.S. Geological Survey Circular 1450, 237 p., https://doi.org/10.3133/cir1450.","productDescription":"vii, 237 p.","numberOfPages":"237","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-102161","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":364691,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1450/circ1450.pdf","text":"Report","size":"31.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CiRC 1450"},{"id":364690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1450/coverthb.jpg"}],"contact":"Director, Eastern Energy Resources Science Center
U.S. Geological Survey
Mail Stop 956
12201 Sunrise Valley Drive
Reston, VA 20192
Director,
Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 95819
Hydrologic and hydraulic analyses were done for selected reaches of Clear Fork Mohican River and Cedar Fork in Richland County, Ohio. To update and expand a portion of the Federal Emergency Management Agency detailed Flood Insurance Study, the U.S. Geological Survey (USGS) and the Muskingum Watershed Conservancy District initiated a cooperative study. The study comprised an 18.6-mile reach of the Clear Fork Mohican River and a 5.9-mile reach of Cedar Fork.
Historical streamflow data from the streamgage Clear Fork Mohican River at Bellville, Ohio (USGS station number 03131982) and regional regression equations were used to estimate instantaneous peak streamflows for floods with 10-, 4-, 2-, 1-, and 0.2-percent and 1-percent plus annual exceedance probabilities. The 1-percent plus flood elevation is defined by the Federal Emergency Management Agency as a flood elevation derived by using streamflows that include the average predictive error for the regression equation streamflow calculation for the Flood Risk project. This error is then added to the 1-percent annual exceedance probability flood streamflow to calculate the new 1-percent plus streamflow.
The annual exceedance probability streamflows were then used in a Hydrologic Engineering Center-River Analysis System step-backwater model to determine water-surface elevation profiles and flood-inundation boundaries for the 10-, 4-, 2-, 1-, and 0.2-percent and 1-percent plus annual exceedance probability floods and a regulatory floodway along a selected reach of each stream. The Clear Fork Mohican River model was calibrated to 16 flood events by using the current stage-streamflow relation at the streamgage Clear Fork Mohican River at Bellville, Ohio (USGS station number 03131982) and a submersible pressure transducer. Flood-inundation boundaries for the 1- and 0.2-percent annual exceedance probability floods and a regulatory floodway were mapped for each stream.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195011","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District and Richland County","usgsCitation":"Ostheimer, C.J., 2019, Hydrologic and hydraulic analyses of selected streams in Richland County, Ohio: U.S. Geological Survey Scientific Investigations Report 2019–5011, 18 p., https://doi.org/10.3133/sir20195011.","productDescription":"Report: iv, 18 p., Data Release","numberOfPages":"26","ipdsId":"IP-100978","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":364655,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NMXM5B","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geospatial datasets and hydraulic models of the Clear Fork Mohican River and Cedar Fork in Richland County, Ohio"},{"id":364654,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5011/sir20195011.pdf","text":"Report","size":"2.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5011"},{"id":364653,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5011/coverthb.jpg"}],"country":"United States","state":"Ohio","county":"Richland county","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.66525268554688,\n 40.54850462620186\n ],\n [\n -82.33943939208984,\n 40.54850462620186\n ],\n [\n -82.33943939208984,\n 40.77352187640244\n ],\n [\n -82.66525268554688,\n 40.77352187640244\n ],\n [\n -82.66525268554688,\n 40.54850462620186\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Boulevard Suite 100
Columbus, OH 43229–1737
Information concerning the availability, use, and quality of water in Tensas Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, 38.01 million gallons per day (Mgal/d) of water were withdrawn in Tensas Parish, including about 33.02 Mgal/d from groundwater sources and about 4.99 Mgal/d from surface-water sources. Withdrawals for agricultural use, composed of general irrigation, rice irrigation, aquaculture, and livestock, accounted for about 97 percent (36.88 Mgal/d) of the total water withdrawn. Other use categories included public supply and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 2014. The large increase in 1985 relative to 1980 and 1990 for groundwater usage is likely an outlier that is attributable to a change in methodology for estimating rice irrigation. A transition in available farm-by-farm data from 1980 to 1985 to 1990 resulted in three different methods being used for estimating groundwater withdrawals for rice irrigation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193004","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of Tensas Parish, Louisiana: U.S. Geological Survey Fact Sheet 2019–3004, 6 p., https://doi.org/10.3133/fs20193004.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-081697","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364625,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"},{"id":364623,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3004/coverthb.jpg"},{"id":364624,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3004/fs20193004.pdf","text":"Report","size":"777 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3004"}],"country":"United States","state":"Louisiana","county":"Tensas 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Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
The current research builds upon a previously published study that demonstrated the combination of Raman spectroscopy coupled with multivariate analysis (MVA) for the prediction of thermal maturity in coal by evaluating the efficacy of this method for the prediction of thermal maturity in shale. MVA techniques eliminate analyst bias in peak-fitting methods by using the full Raman spectrum, and then extricating the important spectral regions for distinguishing samples and building accurate, robust models. Partial least squares (PLS) regression models were developed using Raman spectra and VRo values (0.58–4.59%) for 53 geographically diverse shale chip samples, and 43 shale powder samples. Separate PLS models were built using Raman spectra from shale chips or powders. The calibration sets were validated using approximately one-third of the samples to rigorously assess the predictive accuracy of the models. The root mean standard error of prediction was 0.24 for the shale chip model, and 0.28 for the shale powder model. The coefficients of determination (R2) for the cross-validated data sets were identical (0.90, chips; 0.90, powders), revealing a strong linearity despite the geographic and age diversity of the samples. This study demonstrates the validity of using PLS models for the prediction of shale VRo from Raman spectra. The MVA method described herein presents a Raman alternative to the VRo industry benchmark for assessing thermal maturity in shale that is not imperiled by the shortcomings and subjectivity of peak-fitting methods.
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University","active":true,"usgs":false}],"preferred":false,"id":812664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solotky, Logan","contributorId":243155,"corporation":false,"usgs":false,"family":"Solotky","given":"Logan","email":"","affiliations":[{"id":48649,"text":"RJ Lee Group Inc.","active":true,"usgs":false}],"preferred":false,"id":812665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weislogel, Amy","contributorId":243156,"corporation":false,"usgs":false,"family":"Weislogel","given":"Amy","email":"","affiliations":[{"id":48650,"text":"West Virginia University,Department of Geology and Geography","active":true,"usgs":false}],"preferred":false,"id":812666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schlaegle, Steve","contributorId":243157,"corporation":false,"usgs":false,"family":"Schlaegle","given":"Steve","email":"","affiliations":[{"id":48649,"text":"RJ Lee Group Inc.","active":true,"usgs":false}],"preferred":false,"id":812667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223691,"text":"70223691 - 2019 - Tourmaline boron and strontium isotope systematics reveal magmatic fluid pulses and external fluid influx in a giant iron oxide-apatite (IOA) deposit","interactions":[],"lastModifiedDate":"2021-09-01T14:37:41.100656","indexId":"70223691","displayToPublicDate":"2019-06-13T09:29:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Tourmaline boron and strontium isotope systematics reveal magmatic fluid pulses and external fluid influx in a giant iron oxide-apatite (IOA) deposit","docAbstract":"Tourmaline is a common boron-bearing mineral in hydrothermal system and has been widely used as a mineral probe to reconstruct geological processes because of its broad range in composition and resistance to metasomatic alteration. The origin of Kiruna-type iron oxide-apatite (IOA) deposits, commonly linked to andesitic subvolcanic or volcanic rocks, is highly controversial. Constraints on the evolution of these mineralizing systems are needed to advance understanding of the ore-forming process. In this study, we apply in situ elemental and combined B-Sr isotopic analyses of tourmaline to elucidate the nature and evolution of the subsurface hydrothermal system associated with IOA mineralization in the giant Taocun deposit, eastern China.
Taocun is hosted at the top of a diorite intrusion and exhibits three stages of hydrothermal alteration that contain tourmaline: pre-ore Na alteration (Tur I), syn-ore magnetite formation and associated Ca-Fe alteration (Tur II), and post-ore Ca-Mg alteration with sulfide veins (Tur III). Compositional data for each stage of tourmaline plot along the “oxy-dravite”–povondraite join, which is indicative of precipitation from relatively oxidizing fluids. Ranges of Sr-isotopic compositions in Tur I (0.7065–0.7078) and Tur II (0.7068–0.7076) are identical to those of the igneous host rocks, indicating precipitation from magmatic-hydrothermal fluids. The range of B-isotopic compositions in Tur I (δ11B values of −6.3‰ to −1.2‰) is also consistent with a magmatic source. Higher δ11B values (−2.4‰ to 5.4‰) obtained from Tur II are mainly ascribed to Rayleigh fractionation in the magmatic-hydrothermal system as tourmaline precipitated. Post-ore Tur III has a wide range of mostly lower B-isotopic compositions (−8.5‰ to 0.8‰) that record another pulse of magmatic fluid input. This interpretation is supported by the enrichment of Na, Li, Be, W, Sn, V, and Ti in Tur III, relative to Tur I and II. However, the higher Sr-isotope composition (0.7076–0.7086) of Tur III and available O-isotope composition (−7‰ to 3.5‰) of fluids of this stage record the infiltration of meteoric ground water from adjacent sedimentary country rocks. The results suggest that the Taocun IOA deposit formed in a magmatic-hydrothermal system characterized by two (or more) pulses of magmatic fluid discharge from subvolcanic diorite intrusions, followed by the influx of external ground water as the system waned. This study highlights the utility of tourmaline as a robust geochemical and isotopic monitor of ore-forming processes in such systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2019.06.006","usgsCitation":"Su, Z., Zhao, X., Zeng, L., Zhao, K., and Hofstra, A.H., 2019, Tourmaline boron and strontium isotope systematics reveal magmatic fluid pulses and external fluid influx in a giant iron oxide-apatite (IOA) deposit: Geochimica et Cosmochimica Acta, v. 259, p. 233-252, https://doi.org/10.1016/j.gca.2019.06.006.","productDescription":"20 p.","startPage":"233","endPage":"252","ipdsId":"IP-106893","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":388731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Ningwu IOA district","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 117.48779296875,\n 30.097613277217132\n ],\n [\n 118.58642578124999,\n 30.097613277217132\n ],\n [\n 118.58642578124999,\n 31.704803074739214\n ],\n [\n 117.48779296875,\n 31.704803074739214\n ],\n [\n 117.48779296875,\n 30.097613277217132\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Su, Zhi-kun","contributorId":265158,"corporation":false,"usgs":false,"family":"Su","given":"Zhi-kun","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Xinfu","contributorId":265159,"corporation":false,"usgs":false,"family":"Zhao","given":"Xinfu","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeng, Li-ping","contributorId":265160,"corporation":false,"usgs":false,"family":"Zeng","given":"Li-ping","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhao, Kui-dong","contributorId":265161,"corporation":false,"usgs":false,"family":"Zhao","given":"Kui-dong","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":822343,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198478,"text":"70198478 - 2019 - Evaluating mechanisms of plant‐mediated effects on herbivore persistence and occupancy across an ecoregion","interactions":[],"lastModifiedDate":"2020-05-27T15:24:46.382467","indexId":"70198478","displayToPublicDate":"2019-06-12T10:18:25","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":"Evaluating mechanisms of plant‐mediated effects on herbivore persistence and occupancy across an ecoregion","docAbstract":"Contemporary climate change is rapidly creating one of the greatest challenges for management and conservation during the 21st century. Mountain ecosystems, which have a high degree of spatial heterogeneity and contain numerous habitat specialists, have been identified as particularly vulnerable. We used data from multiple years across sites spanning a >40 million ha ecoregion to test hypotheses regarding how community‐level characteristics of vegetation may affect a mammalian generalist herbivore, the American pika (Ochotona princeps ). We examined patterns of pika persistence across sites in the hydrographic Great Basin, and occupancy within a subset of these sites. We used mixed‐effects logistic regression models to compare evidence in support of competing explanations for each pattern within an information–theoretic framework (using Akaike's information criterion). Models reflected four hypothesized classes of mechanisms related to nutritional ecology, ecosystem function, indirect indication of climatic effects, and (synergistic) combinations of these three classes. At the site level, models reflecting synergistic effects received the most support. At the within‐site level, support appeared to be split equally among hypotheses containing predictors related to either nutritional ecology or indirect climate effects. Well‐supported predictors included cover of invasive plant species, cover of more‐xeric plant species, species evenness, and proportion of graminoid species. Our results both (1) identify important aspects of vegetation communities that may influence herbivore distribution in mountainous areas across a large, diverse geographic region, and (2) contribute to an improved understanding of how mountain ecosystems may be affected by ongoing climate change, more broadly.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2764","usgsCitation":"Wilkening, J.L., Cole, E.J., and Beever, E., 2019, Evaluating mechanisms of plant‐mediated effects on herbivore persistence and occupancy across an ecoregion: Ecosphere, v. 10, no. 6, e02764, 19 p., https://doi.org/10.1002/ecs2.2764.","productDescription":"e02764, 19 p.","ipdsId":"IP-094589","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2764","text":"Publisher Index Page"},{"id":375082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah, Wyoming","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.01513671875,\n 36.82687474287728\n ],\n [\n -112.67578124999999,\n 37.70120736474139\n ],\n [\n -112.06054687499999,\n 40.26276066437183\n ],\n [\n -112.32421875,\n 41.983994270935625\n ],\n [\n -113.04931640625,\n 43.18114705939968\n ],\n [\n -113.37890625,\n 43.50075243569041\n ],\n [\n -114.54345703125,\n 42.293564192170095\n ],\n [\n -115.57617187499999,\n 41.705728515237524\n ],\n [\n -116.3232421875,\n 41.49212083968776\n ],\n [\n -117.59765625,\n 41.27780646738183\n ],\n [\n -117.90527343750001,\n 42.08191667830631\n ],\n [\n -118.36669921875,\n 43.6599240747891\n ],\n [\n -119.02587890624999,\n 44.134913443750726\n ],\n [\n -120.25634765624999,\n 43.91372326852401\n ],\n [\n -121.17919921875001,\n 43.56447158721811\n ],\n [\n -121.06933593749999,\n 41.393294288784865\n ],\n [\n -120.7177734375,\n 40.29628651711716\n ],\n [\n -120.38818359375,\n 39.26628442213066\n ],\n [\n -118.01513671875,\n 36.82687474287728\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkening, Jennifer L. 0000-0001-8748-4578","orcid":"https://orcid.org/0000-0001-8748-4578","contributorId":127685,"corporation":false,"usgs":false,"family":"Wilkening","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7111,"text":"U. Colorado, Boulder, Dept. Ecology & Evol.Biol., PhD Student","active":true,"usgs":false}],"preferred":false,"id":741602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, Evan J.","contributorId":206741,"corporation":false,"usgs":false,"family":"Cole","given":"Evan","email":"","middleInitial":"J.","affiliations":[{"id":37388,"text":"Dept. of Environmental Science, University of San Francisco","active":true,"usgs":false}],"preferred":false,"id":741603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":741601,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205244,"text":"70205244 - 2019 - Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations","interactions":[],"lastModifiedDate":"2019-09-10T10:05:40","indexId":"70205244","displayToPublicDate":"2019-06-12T09:56:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations","docAbstract":"Natural resource managers use data on the spatial range of species to guide management decisions. These data come from survey or monitoring efforts that use a wide variety of tools. Environmental DNA (eDNA) is a surveillance tool that uses genetic markers for detecting species and holds potential as a tool for large-scale monitoring programs. Two challenges of eDNA-based studies are uncertainties created by imperfect capture of eDNA in collection samples (e.g., water field samples) and imperfect detection of eDNA using molecular methods (e.g., quantitative PCR). Occurrence models can be used to address these challenges, thus we use an occurrence model to address two objectives: First, determine how many samples were required to detect species using eDNA; Second, examine when and where to take samples. We collected water samples from three different habitat types in the Upper Mississippi River when both Bighead Carp and Silver Carp were known to be present based on telemetry detections. Each habitat type (backwater, tributary, and impoundment) was sampled during April, May and November. Detections of eDNA for both species varied across sites and months, but were generally low, 0 - 19.3% of samples were positive for eDNA. Overall, we found that eDNA-based sampling holds promise to be a powerful monitoring tool for resource managers, however, limitations of eDNA-based sampling include different biological and ecological characteristics of target species such as seasonal habitat usage patterns as well as aspects of different physical environments that impact the implementation of these methods such as water temperature.","language":"English","publisher":"Wiley","doi":"10.1002/eap.1951","usgsCitation":"Mize, E.L., Erickson, R.A., Merkes, C.M., Berndt, N., Bockrath, K., Credico, J., Grueneis, N., Merry, J., Mosel, K., Tuttle-Lau, M., Von Ruden, K., Amberg, J., Baerwaldt, K., Finney, S., and Monroe, E., 2019, Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations: Ecological Applications, v. 29, no. 6, e01951, https://doi.org/10.1002/eap.1951.","productDescription":"e01951","ipdsId":"IP-099527","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437423,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YJBMBQ","text":"USGS data release","linkHelpText":"Code to assist the USFWS with eDNA field sampling designs for eDNA"},{"id":367311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367295,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1002/eap.1951"}],"volume":"29","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Mize, Erica L.","contributorId":217242,"corporation":false,"usgs":false,"family":"Mize","given":"Erica","email":"","middleInitial":"L.","affiliations":[{"id":39581,"text":"Whitney Genetics Laboratory, Midwest Fisheries Center, U.S. Fish and Wildlife Service, 555 Lester Avenue, Onalaska, WI USA","active":true,"usgs":false}],"preferred":false,"id":770533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":770534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":770535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berndt, N.","contributorId":218852,"corporation":false,"usgs":false,"family":"Berndt","given":"N.","email":"","affiliations":[],"preferred":false,"id":770536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bockrath, K.D.","contributorId":217240,"corporation":false,"usgs":false,"family":"Bockrath","given":"K.D.","email":"","affiliations":[{"id":39581,"text":"Whitney Genetics Laboratory, Midwest Fisheries Center, U.S. Fish and Wildlife Service, 555 Lester Avenue, Onalaska, WI USA","active":true,"usgs":false}],"preferred":false,"id":770537,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Credico, J.","contributorId":218853,"corporation":false,"usgs":false,"family":"Credico","given":"J.","email":"","affiliations":[],"preferred":false,"id":770538,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grueneis, N.","contributorId":218854,"corporation":false,"usgs":false,"family":"Grueneis","given":"N.","email":"","affiliations":[],"preferred":false,"id":770539,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Merry, J.","contributorId":218855,"corporation":false,"usgs":false,"family":"Merry","given":"J.","email":"","affiliations":[],"preferred":false,"id":770540,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mosel, Kyle","contributorId":30135,"corporation":false,"usgs":true,"family":"Mosel","given":"Kyle","affiliations":[],"preferred":false,"id":770541,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tuttle-Lau, M.T.","contributorId":36243,"corporation":false,"usgs":true,"family":"Tuttle-Lau","given":"M.T.","affiliations":[],"preferred":false,"id":770542,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Von Ruden, K.","contributorId":218857,"corporation":false,"usgs":false,"family":"Von Ruden","given":"K.","email":"","affiliations":[],"preferred":false,"id":770543,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":770544,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Baerwaldt, K.","contributorId":21071,"corporation":false,"usgs":true,"family":"Baerwaldt","given":"K.","affiliations":[],"preferred":false,"id":770545,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Finney, S.T.","contributorId":66907,"corporation":false,"usgs":true,"family":"Finney","given":"S.T.","email":"","affiliations":[],"preferred":false,"id":770546,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Monroe, E.M.","contributorId":217239,"corporation":false,"usgs":false,"family":"Monroe","given":"E.M.","email":"","affiliations":[{"id":39581,"text":"Whitney Genetics Laboratory, Midwest Fisheries Center, U.S. Fish and Wildlife Service, 555 Lester Avenue, Onalaska, WI USA","active":true,"usgs":false}],"preferred":false,"id":770547,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70207038,"text":"70207038 - 2019 - Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary","interactions":[],"lastModifiedDate":"2019-12-04T15:55:23","indexId":"70207038","displayToPublicDate":"2019-06-11T15:54:36","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary","docAbstract":"This report describes an Adaptive Harvest Management (AHM) program designed to maintain the Svalbard population of Pink-footed Geese (Anser brachyrhynchus) near their target level (60,000) by providing sustainable harvests in Norway and Denmark. Specifically, this report provides recent monitoring and assessment results and their implications for the 2019 hunting season.\n\nIn this report we provide results for both the set of nine discrete population models used since 2013 and for a recently developed Integrated Population Model (IPM). Updating model weights (set of nine models) and model parameters (IPM) use the most recent monitoring information available (i.e. through spring 2019). We also compare optimal harvest strategies based on the two modeling approaches. Of growing concern, however, has been the observation that the predictive ability of the original population models has declined over time. Going forward, we suggest that use of the IPM is a superior modeling approach for setting hunting seasons for\nPink-footed Geese.\n\nPopulation sizes in May as estimated by the IPM are in general agreement with counts and capture-markrecapture estimates but are more precise. Estimates of survival from natural causes were relatively constant over time with a mean of 0.93 and estimates of adult kill rate ranged from 0.04 to 0.13. Estimates of countryspecific kill rates suggest that most of the overall increase in kill rate in recent years is attributed to increasing harvest pressure in Denmark. With respect to productivity, the IPM produced estimates of preseason age ratio that were variable over time, but on average suggested that young constituted about 18% of the population just\nprior to the hunting season. Estimates of the preseason age ratio correlated well with the number of days above freezing in May in Svalbard. Our results suggest that population size has stabilized because of declining survival rates that have accompanied an increase in kill rates. Adoption of the IPM this year would result in a harvest quota for the 2019 hunting season of 22,000, based on a May population estimate of 76,500 (95% CI: 66,800 – 86,600) and 8 days above freezing in Svalbard. Using the agreed upon allocation of the total allowable\nharvest, the quotas are 6,600 for Norway and 15,400 for Denmark. Assuming the total quota is met, the IPM predicts a population size in May 2020 of 64,900 (95% CI: 50,300 – 83,700).\n\nWe note that the updated set of original models used since 2013 suggests an allowable harvest of 40,000 in 2019 based on a November 2018 count of 91,900 geese (comprised of 12,900 young and 79,000 adults). We are skeptical of this large quota, however. Using all available demographic data suggests that the November 2018 population size was lower than that indicated by the count and that the winter population experienced more natural mortality than expected. These insights demonstrate the inherent risk of basing a harvest quota\non a single population count, irrespective of other demographic data.","language":"English","publisher":"AEWA European Goose Management International Working Group","collaboration":"Aarhus University, Denmark","usgsCitation":"Johnson, F., Heldbjerg, H., Clausen, K.K., and Madsen, J., 2019, Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary, 19 p.","productDescription":"19 p.","ipdsId":"IP-108881","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":369923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369893,"type":{"id":11,"text":"Document"},"url":"https://egmp.aewa.info/sites/default/files/meeting_files/documents/AEWA_EGM_IWG_4_7_PFG_AHM%20update.pdf"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Fred 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":221013,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":776594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heldbjerg, Henning","contributorId":174479,"corporation":false,"usgs":false,"family":"Heldbjerg","given":"Henning","email":"","affiliations":[],"preferred":false,"id":776595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clausen, Kevin K.","contributorId":174355,"corporation":false,"usgs":false,"family":"Clausen","given":"Kevin","email":"","middleInitial":"K.","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":776596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madsen, Jesper","contributorId":178168,"corporation":false,"usgs":false,"family":"Madsen","given":"Jesper","email":"","affiliations":[],"preferred":false,"id":776597,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203875,"text":"70203875 - 2019 - Soil characteristics are associated with gradients of big sagebrush canopy structure after disturbance","interactions":[],"lastModifiedDate":"2019-08-15T12:19:43","indexId":"70203875","displayToPublicDate":"2019-06-11T14:21:18","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":"Soil characteristics are associated with gradients of big sagebrush canopy structure after disturbance","docAbstract":"Reestablishing shrub canopy cover after disturbance in semi-arid ecosystems, such as sagebrush steppe, is essential to provide wildlife habitat and restore ecosystem functioning. While several studies have explored the effects of landscape and climate factors on the success or failure of sagebrush seeding, the influence of soil properties on gradients of shrub canopy structure in successfully seeded areas remains largely unexplored. In this study, we evaluated associations between soil properties and gradients in sagebrush canopy structure in stands that had successfully reestablished after fire and subsequent seeding treatments. Using a dataset collected across the Great Basin, USA, of sagebrush stands that had burned and reestablished\nbetween 1986 and 2013, we tested soil depth and texture, soil surface classification, biological soil crusts plus mean historical precipitation, solar heatload, and fire history as modeling variables to explore gradients in sagebrush canopy structure growth in terms of cover, height, and density. Deeper soils were associated with greater sagebrush canopy structure development in terms of plant density and percent cover, coarser textured soils were associated with greater sagebrush cover and density, and more clayey soils were typically associated with greater height. Biological crust presence was also positively associated with enhanced sagebrush canopy growth, but adding more demographically or morphologically explicit descriptions of biocrust communities did not improve explanatory power. Increasing heatload had a negative effect on sagebrush canopy structure growth, and increased mean annual precipitation was only associated with greater sagebrush height. Given that conservation and restoration of the sagebrush steppe ecosystems has become a priority for land managers, the associations we identify between gradients in post-fire sagebrush canopy structure growth and field-identifiable soil characteristics may improve planning of land treatments for sagebrush restoration and the understanding of semi-arid ecosystem functioning and post-disturbance dynamics.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2780","usgsCitation":"Barnard, D., Germino, M., Arkle, R., Bradford, J., Duniway, M., Pilliod, D.S., Pyke, D., Shriver, R., and Welty, J.L., 2019, Soil characteristics are associated with gradients of big sagebrush canopy structure after disturbance: Ecosphere, v. 10, no. 6, e02780, 12 p., https://doi.org/10.1002/ecs2.2780.","productDescription":"e02780, 12 p.","ipdsId":"IP-101399","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467540,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2780","text":"Publisher Index Page"},{"id":364792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnard, David","contributorId":216338,"corporation":false,"usgs":true,"family":"Barnard","given":"David","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":216339,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John","contributorId":216340,"corporation":false,"usgs":true,"family":"Bradford","given":"John","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael","contributorId":216341,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":216342,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pyke, David 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":216343,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shriver, Robert","contributorId":216344,"corporation":false,"usgs":true,"family":"Shriver","given":"Robert","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":216345,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764552,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70202827,"text":"sir20195016 - 2019 - Interpretation of dye tracing data collected November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains course, Savoy, Arkansas","interactions":[],"lastModifiedDate":"2019-06-11T17:41:25","indexId":"sir20195016","displayToPublicDate":"2019-06-11T14:00:00","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":"2019-5016","displayTitle":"Interpretation of Dye Tracing Data Collected November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains Course, Savoy, Arkansas","title":"Interpretation of dye tracing data collected November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains course, Savoy, Arkansas","docAbstract":"The first course on the use of advanced groundwater field techniques for karst aquifers was conducted November 13–17, 2017, at the University of Arkansas Savoy Experimental Watershed (SEW), which is located on pastures for beef livestock research conducted by the Department of Animal Sciences at the University of Arkansas at Savoy, Arkansas. The SEW is an interdisciplinary, collaborative, long-term research site for the study of animal-waste management in a mantled karst setting. The course focused on advanced field activities appropriate for karst aquifer studies: dye tracing, groundwater/surface-water interactions, geophysical methods, and geochemistry. This report summarizes the data collected and interpreted from the dye tracing part of the November 2017 course, other USGS field courses, and past dye tracing investigations conducted by University of Arkansas students.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195016","collaboration":"Prepared in Collaboration with the University of Arkansas Department of Geosciences","usgsCitation":"Kuniansky, E.L., Blackstock, J.M., Wagner, D.M., and Brahana, J.V., 2019, Interpretation of dye tracing data collected, November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains Course, Savoy, Arkansas: U.S. Geological Survey Scientific Investigations Report 2019–5016, 41 p., https://doi.org/10.3133/sir20195016.","productDescription":"Report: 41 p.;Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101252","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364493,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5016/coverthb.jpg"},{"id":364494,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5016/sir20195016.pdf","text":"Report","size":"4.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5016"},{"id":364495,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P935TENP","text":"USGS data release","description":"USGS data release"}],"country":"United States","state":"Arkansas","county":"Washington County","city":"Savoy","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-93.8883,36.2353],[-93.945,36.0915],[-93.946,36.0415],[-93.9508,35.8749],[-93.9521,35.8336],[-93.9617,35.8339],[-93.9638,35.7608],[-94.1073,35.7642],[-94.1181,35.7645],[-94.1244,35.7649],[-94.1251,35.7503],[-94.1546,35.7511],[-94.2295,35.7529],[-94.3038,35.7547],[-94.3407,35.7558],[-94.4854,35.7592],[-94.4947,35.7594],[-94.4955,35.7648],[-94.5199,35.9205],[-94.5301,35.986],[-94.5338,36.0093],[-94.5498,36.1027],[-94.5433,36.102],[-94.5274,36.1019],[-94.4801,36.1006],[-94.4624,36.1001],[-94.4447,36.0995],[-94.4242,36.0995],[-94.4071,36.0994],[-94.3889,36.0988],[-94.3891,36.1433],[-94.3561,36.1426],[-94.3367,36.1425],[-94.3352,36.1856],[-94.3349,36.2147],[-94.2819,36.2139],[-94.279,36.2135],[-94.2504,36.2127],[-94.1785,36.2113],[-94.174,36.2114],[-94.154,36.2108],[-94.021,36.2086],[-94.013,36.2083],[-94.0131,36.2305],[-94.0127,36.2382],[-94.0024,36.238],[-93.9893,36.2373],[-93.8883,36.2353]]]},\"properties\":{\"name\":\"Washington\",\"state\":\"AR\"}}]}","contact":"Director, Lower Mississippi Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park Drive
Nashville, TN 37211
Many stream channel infrastructure, habitat, and restoration projects are being undertaken on small streams throughout Arkansas by various Federal, State, and local agencies and by private organizations and businesses with limited data on local geomorphology and streamflow relations. Equations are needed that relate drainage area above stable stream reaches and the associated basin characteristics to bankfull streamflow and the associated channel dimensions. These equations, along with streambed material particle information, provide information that can improve stream channel projects. The U.S. Geological Survey and the Arkansas Natural Resources Commission in cooperation with the U.S. Army Corps of Engineers, Little Rock District, undertook a study to develop these equations for streams in the Ouachita Mountains of Arkansas.
Seventeen streamgages operated by the U.S. Geological Survey, located on streams in the Ouachita Mountains, were selected for analysis. Regional hydraulic geometry curves that express the mathematical relation between the bankfull channel dimensions (cross-sectional area, top width, mean depth, and streamflow) and the contributing drainage areas were developed. Streambed material measurements were collected to develop descriptive statistics of the streambed particle-size distributions and percentages of substrate type at each study site. Stream reaches at each study site were classified to the Rosgen level II stream type based on the average of stream channel metrics collected from site cross sections and profiles. Of the 17 selected Ouachita Mountain stream reaches, 6 were classified as B stream types, and 11 were classified as C stream types. The B stream types have infrequently spaced pools; very stable plan forms, profiles, and banks; and narrow, gently sloping valleys, where bank vegetation is a moderate component of stability. The C stream types are meandering, point bar, riffle-pool channels associated with broad valleys having well-defined flood plains and terraces composed of alluvial soils, where bank vegetation is typically a high component of stability.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1104","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the U.S. Army Corps of Engineers, Little Rock District","usgsCitation":"Pugh, A.L., and Redman, R.K., 2019, Regional hydraulic geometry characteristics of stream channels in the Ouachita Mountains of Arkansas: U.S. Geological Survey Data Series 1104, 25 p., https://doi.org/10.3133/ds1104.","productDescription":"Report: v, 25 p.; Data Release","numberOfPages":"35","onlineOnly":"Y","ipdsId":"IP-076095","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364361,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1104/ds1104.pdf","text":"Report","size":"8.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1104"},{"id":364362,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7BC3WNX","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Regional Hydraulic Geometry Characteristics of Stream Channels in the Ouachita Mountains of Arkansas"},{"id":364360,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1104/coverthb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Ouachita Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.350341796875,\n 33.6420625047537\n ],\n [\n -93.306884765625,\n 33.6420625047537\n ],\n [\n -93.306884765625,\n 35.34425514918409\n ],\n [\n -95.350341796875,\n 35.34425514918409\n ],\n [\n -95.350341796875,\n 33.6420625047537\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Ste 100
Nashville, TN 37211
Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559