{"pageNumber":"338","pageRowStart":"8425","pageSize":"25","recordCount":40783,"records":[{"id":70202464,"text":"70202464 - 2019 - Isotopic and petrologic investigation, and a thermomechanical model of genesis of large-volume rhyolites in arc environments: Karymshina Volcanic Complex, Kamchatka, Russia","interactions":[],"lastModifiedDate":"2019-08-15T11:51:18","indexId":"70202464","displayToPublicDate":"2019-03-04T15:25:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic and petrologic investigation, and a thermomechanical model of genesis of large-volume rhyolites in arc environments: Karymshina Volcanic Complex, Kamchatka, Russia","docAbstract":"<p><span>The Kamchatka Peninsula of eastern Russia is currently one of the most volcanically active areas on Earth where a combination of &gt;8 cm/yr subduction convergence rate and thick continental crust generates large silicic magma chambers, reflected by abundant large calderas and caldera complexes. This study examines the largest center of silicic 4-0.5 Ma Karymshina Volcanic Complex, which includes the 25 × 15 km Karymshina caldera, the largest in Kamchatka. A series of rhyolitic tuff eruptions at 4 Ma were followed by the main eruption at 1.78 Ma and produced an estimated 800 km</span><sup>3</sup><span>&nbsp;of rhyolitic ignimbrites followed by high-silica rhyolitic post-caldera extrusions. The postcaldera domes trace the 1.78 Ma right fracture and form a continuous compositional series with ignimbrites. We here present results of a geologic, petrologic, and isotopic study of the Karymshina eruptive complex, and present new Ar-Ar ages, and isotopic values of rocks for the oldest pre- 1.78 Ma caldera ignimbrites and intrusions, which include a diversity of compositions from basalts to rhyolites. Temporal trends in δ</span><sup>18</sup><span>O,&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr, and&nbsp;</span><sup>144</sup><span>Nd/</span><sup>143</sup><span>Nd indicate values comparable to neighboring volcanoes, increase in homogeneity, and temporal increase in mantle-derived Sr and Nd with increasing differentiation over the last 4 million years. Data are consistent with a batholithic scale magma chamber formed by primarily fractional crystallization of mantle derived composition and assimilation of Cretaceous and younger crust, driven by basaltic volcanism and mantle delaminations. All rocks have 35–45% quartz, plagioclase, biotite, and amphibole phenocrysts. Rhyolite-MELTS crystallization models favor shallow (2 kbar) differentiation conditions and varying quantities of assimilated amphibolite partial melt and hydrothermally-altered silicic rock. Thermomechanical modeling with a typical 0.001 km</span><sup>3</sup><span>/yr eruption rate of hydrous basalt into a 38 km Kamchatkan arc crust produces two magma bodies, one near the Moho and the other engulfing the entire section of upper crust. Rising basalts are trapped in the lower portion of an upper crustal magma body, which exists in a partially molten to solid state. Differentiation products of basalt periodically mix with the resident magma diluting its crustal isotopic signatures. At the end of the magmatism crust is thickened by 8 km. Thermomechanical modeling show that the most likely way to generate large spikes of rhyolitic magmatism is through delamination of cumulates and mantle lithosphere after many millions of years of crustal thickening. The paper also presents a chemical dataset for Pacific ashes from ODDP 882 and 883 and compares them to Karymshina ignimbrites and two other Pleistocene calderas studied by us in earlier works.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2018.00238","usgsCitation":"Bindeman, I.N., Leonov, V.L., Colon, D.P., Rogozin, A.N., Shipley, N., Jicha, B., Loewen, M.W., and Gerya, T.V., 2019, Isotopic and petrologic investigation, and a thermomechanical model of genesis of large-volume rhyolites in arc environments: Karymshina Volcanic Complex, Kamchatka, Russia: Frontiers in Earth Science, v. 6, 238; 27 p., https://doi.org/10.3389/feart.2018.00238.","productDescription":"238; 27 p.","ipdsId":"IP-102469","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2018.00238","text":"Publisher Index Page"},{"id":361712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Kamchatka","volume":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Bindeman, Ilya N.","contributorId":175500,"corporation":false,"usgs":false,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":758692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leonov, Vladimir L.","contributorId":213917,"corporation":false,"usgs":false,"family":"Leonov","given":"Vladimir","email":"","middleInitial":"L.","affiliations":[{"id":38929,"text":"Institute of Volcanology and Seismology","active":true,"usgs":false}],"preferred":false,"id":758693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colon, Dylan P.","contributorId":213918,"corporation":false,"usgs":false,"family":"Colon","given":"Dylan","email":"","middleInitial":"P.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":758694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogozin, Aleksey N.","contributorId":213919,"corporation":false,"usgs":false,"family":"Rogozin","given":"Aleksey","email":"","middleInitial":"N.","affiliations":[{"id":38929,"text":"Institute of Volcanology and Seismology","active":true,"usgs":false}],"preferred":false,"id":758695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shipley, Niccole","contributorId":213921,"corporation":false,"usgs":false,"family":"Shipley","given":"Niccole","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":758697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jicha, Brian","contributorId":213920,"corporation":false,"usgs":false,"family":"Jicha","given":"Brian","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":758696,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":758691,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gerya, Taras V.","contributorId":213922,"corporation":false,"usgs":false,"family":"Gerya","given":"Taras","email":"","middleInitial":"V.","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":758698,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70202455,"text":"70202455 - 2019 - Heat and mass transport in a vapor-dominated hydrothermal area in Yellowstone National Park, USA: Inferences from magnetic, electrical, electromagnetic, subsurface temperature and diffuse CO2 flux measurements","interactions":[],"lastModifiedDate":"2019-03-04T10:29:35","indexId":"70202455","displayToPublicDate":"2019-03-04T10:29:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Heat and mass transport in a vapor-dominated hydrothermal area in Yellowstone National Park, USA: Inferences from magnetic, electrical, electromagnetic, subsurface temperature and diffuse CO<sub>2</sub> flux measurements","title":"Heat and mass transport in a vapor-dominated hydrothermal area in Yellowstone National Park, USA: Inferences from magnetic, electrical, electromagnetic, subsurface temperature and diffuse CO2 flux measurements","docAbstract":"<p><span>Vapor‐dominated hydrothermal systems are characterized by localized and elevated heat and gas flux. In these systems, steam and gas ascend from a boiling water reservoir, steam condenses beneath a low‐permeability cap layer, and liquid water descends, driven by gravity (“heat pipe” model). We combine magnetic, electromagnetic, and geoelectrical methods and CO</span><sub>2</sub><span>&nbsp;flux and subsurface temperature measurements in the Solfatara Plateau Thermal Area in the Yellowstone Caldera to address several fundamental questions: (1) What are the structural and/or lithological controls on heat and mass transport in vapor‐dominated areas? (2) What is the geometry and size of convecting multiphase thermal plumes? (3) Are thermal plumes associated with subsurface rock alteration and demagnetization? Magnetic and electromagnetic data inversions suggest an asymmetric 50‐ to 100‐m thick basin of glacial deposits with the thickest part adjacent to the margin of a rhyolite flow. The 3‐D electrical conductivity model in the glacial basin reveals a narrow vertical conductor interpreted as a focused multiphase plume, which coincides at the ground surface with the heat and CO</span><sub>2</sub><span>&nbsp;flux maxima. The magnetic data suggest that destruction of magnetic minerals due to rock alteration associated with the hydrothermal plume occurs mainly near the ground surface. We propose a model where the buoyant multiphase plume forms in response to decompression, boiling, and phase separation of pressurized thermal groundwater that discharges from the brecciated base of a rhyolite flow into the basin of glacial deposits. Results from multiphase groundwater flow and heat transport numerical simulations corroborate the first‐order characteristics of this model.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016202","usgsCitation":"Bouligand, C., Hurwitz, S., Vandemeulebrouck, J., Byrdina, S., Kass, M.A., and Lewicki, J.L., 2019, Heat and mass transport in a vapor-dominated hydrothermal area in Yellowstone National Park, USA: Inferences from magnetic, electrical, electromagnetic, subsurface temperature and diffuse CO2 flux measurements: Journal of Geophysical Research B: Solid Earth, v. 124, no. 1, p. 291-309, https://doi.org/10.1029/2018JB016202.","productDescription":"19 p.","startPage":"291","endPage":"309","ipdsId":"IP-098703","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488797,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pure.au.dk/portal/en/publications/e8f358ca-154d-4c4f-a21a-cd87db837f8c","text":"External Repository"},{"id":361674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.75,\n              44.5833\n            ],\n            [\n              -110.5,\n              44.5833\n            ],\n            [\n              -110.5,\n              44.75\n            ],\n            [\n              -110.75,\n              44.75\n            ],\n            [\n              -110.75,\n              44.5833\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Bouligand, Claire","contributorId":71662,"corporation":false,"usgs":true,"family":"Bouligand","given":"Claire","affiliations":[],"preferred":false,"id":758657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":758658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandemeulebrouck, Jean","contributorId":101973,"corporation":false,"usgs":true,"family":"Vandemeulebrouck","given":"Jean","email":"","affiliations":[],"preferred":false,"id":758659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrdina, Svetlana","contributorId":213911,"corporation":false,"usgs":false,"family":"Byrdina","given":"Svetlana","email":"","affiliations":[],"preferred":false,"id":758660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kass, Mason A. 0000-0001-6119-2593 mkass@usgs.gov","orcid":"https://orcid.org/0000-0001-6119-2593","contributorId":613,"corporation":false,"usgs":true,"family":"Kass","given":"Mason","email":"mkass@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":758661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lewicki, Jennifer L. 0000-0003-1994-9104 jlewicki@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-9104","contributorId":5071,"corporation":false,"usgs":true,"family":"Lewicki","given":"Jennifer","email":"jlewicki@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":758662,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70201030,"text":"sir20185161 - 2019 - Assessment of Columbia and Willamette River flood stage on the Columbia Corridor Levee System at Portland, Oregon, in a future climate","interactions":[],"lastModifiedDate":"2019-03-06T09:26:09","indexId":"sir20185161","displayToPublicDate":"2019-03-04T10:11:16","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":"2018-5161","displayTitle":"Assessment of Columbia and Willamette River Flood Stage on the Columbia Corridor Levee System at Portland, Oregon, in a Future Climate","title":"Assessment of Columbia and Willamette River flood stage on the Columbia Corridor Levee System at Portland, Oregon, in a future climate","docAbstract":"<p>To support Levee Ready Columbia’s (LRC’s) effort to re-certify levees along the Columbia and Willamette Rivers and remain accredited, two 2-dimensional hydraulic models, Adaptive Hydraulics and Delft3D-Flexible Mesh, were used to simulate the effects of plausible extreme high water during the 2030 to 2059 period. The Columbia River was simulated from Bonneville Dam, situated at river mile (RM) 145, to the mouth of Columbia River, and the Willamette River was simulated from Willamette Falls, RM 26.2, to the Columbia River confluence. Inputs to the models included light detection and ranging (lidar) and bathymetric mapping data to determine bed level, and boundary conditions in the form of daily inflow hydrographs and water levels in the ocean offshore of the mouth of the Columbia River.</p><p>Future conditions were based on climate science data developed by the U.S. Army Corps of Engineers and others. These conditions included future streamflow and coastal ocean water levels. The hypothetical, extreme but plausible, upstream boundary was based on scaling up the hydrographs from the 1996 flood. Scaling factors were determined by comparing the peak flow rankings determined from flood frequency analyses of historical unregulated periods and 2040s simulated unregulated winter streamflow. The comparison resulted in scaling up the Columbia River hydrograph by 40-percent and scaling up the Willamette River and Lower Columbia River tributaries hydrographs by 20-percent. The downstream ocean boundary was based on a combination of sea-level change, high tide, and storm surge.</p><p>The models were calibrated for two historical periods: (1) from January 15 to February 28, 1996, and (2) from April 12 to July 12, 1997. The two models compared well to the measured water-surface elevation over the historical periods and had good performance statistics, with root-mean square error ranging from 0.085 to 0.32 meters, Nash-Sutcliffe values greater than 0.96, and bias ranging from -0.03 to 0.28 meters. The simulated peak stage in the Columbia River at Vancouver, Washington, for 1996 was 9.60 and 9.98 meters (31.5 and 32.7 feet) compared to the measured peak of 9.89 meters (32.5 feet). Future peak stage then was simulated with boundary conditions representing extreme but plausible future conditions at the inflow sites and the ocean boundary.</p><p>The two calibrated models compared well in their simulations of extreme but plausible future conditions. For the 0-meter sea-level change scenario, the simulated peak stage in the Columbia River at Vancouver was 11.15 and 11.39 meters (36.6 and 37.4 feet); and for the 1-meter sea-level change scenario, the simulated peak stage in the Columbia River was 11.25 and 11.54 meters (36.9 and 37.9 feet). The total increase in stage as compared to the 1996 measured peak stage ranged from 1.26 to 1.65 meters (4.13 to 5.40 feet).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185161","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and Levee Ready Columbia","usgsCitation":"Wherry, S.A., Wood, T.M., Moritz, H.R., and Duffy, K.B., 2019, Assessment of Columbia and Willamette River flood stage on the Columbia Corridor Levee System at Portland, Oregon, in a future climate: U.S. Geological Survey Scientific Investigations Report 2018-5161, 44 p., https://doi.org/10.3133/sir20185161.","productDescription":"vii, 44 p.","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-096367","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":361538,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5161/coverthb.jpg"},{"id":361539,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5161/sir20185161.pdf","text":"Report","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5161"}],"country":"United States","state":"Oregon","city":"Portland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.112548828125,\n              44.953136827528816\n            ],\n            [\n              -119.9981689453125,\n              44.953136827528816\n            ],\n            [\n              -119.9981689453125,\n              46.5172957536981\n            ],\n            [\n              -124.112548828125,\n              46.5172957536981\n            ],\n            [\n              -124.112548828125,\n              44.953136827528816\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/or-water\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Abstract</li><li>Significant Findings</li><li>Introduction</li><li>Methods</li><li>Historical Simulations</li><li>Future Climate Scenarios</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-03-04","noUsgsAuthors":false,"publicationDate":"2019-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Wherry, Susan A. 0000-0002-6749-8697 swherry@usgs.gov","orcid":"https://orcid.org/0000-0002-6749-8697","contributorId":4952,"corporation":false,"usgs":true,"family":"Wherry","given":"Susan","email":"swherry@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":751918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":751919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moritz, Hans R.","contributorId":210776,"corporation":false,"usgs":false,"family":"Moritz","given":"Hans","email":"","middleInitial":"R.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":751920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duffy, Keith B.","contributorId":210777,"corporation":false,"usgs":false,"family":"Duffy","given":"Keith","email":"","middleInitial":"B.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":751921,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201990,"text":"ofr20191004 - 2019 - Arizona hedgehog cactus (Echinocereus triglochidiatus var. arizonicus)—A systematic data assessment in support of recovery","interactions":[],"lastModifiedDate":"2019-03-05T10:24:01","indexId":"ofr20191004","displayToPublicDate":"2019-03-04T08:50:53","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":"2019-1004","displayTitle":"Arizona Hedgehog Cactus (<em>Echinocereus triglochidiatus</em> var. <em>arizonicus</em>)—A Systematic Data Assessment in Support of Recovery","title":"Arizona hedgehog cactus (Echinocereus triglochidiatus var. arizonicus)—A systematic data assessment in support of recovery","docAbstract":"<p class=\"p1\">The Arizona hedgehog cactus (<i>Echinocereus triglochidiatus </i>var<i>. arizonicus</i>) is endemic to central Arizona in Gila and Pinal Counties, and has been federally listed as endangered by the U.S. Fish and Wildlife Service (FWS) since 1979. Mining, mineral exploration, and highway development have resulted in habitat degradation and loss of individual plants. Therefore, decreases in the population of the cactus are expected to continue. In response to a request from FWS to compile, evaluate, and synthesize data for the cactus, we identified and evaluated existing survey and monitoring data for the cactus and conducted a demographic analysis with suitable data.</p><p class=\"p1\">Systematic surveys for the Arizona hedgehog cactus did not begin until the late 1970s. Early surveys generally were anecdotal descriptions of cactus populations and precisely georeferenced records of individual cactus occurrence did not occur until global positioning systems were widely used. Much of the georeferenced data have been collected by consultants for mining operations, the Arizona Department of Transportation, the U.S. Forest Service, and independent surveyors. Occurrence records have been compiled by the Arizona Game and Fish Department Heritage Data Management System, but submission of these data may be incomplete, and the attributes reported have varied among the contributing entities. The compilation and management of survey data is essential for field-based evidence of the size, distribution, and range extent of the cactus. In support of consistency in future survey data collection, this report makes several suggestions for future surveys.</p><p class=\"p1\">Monitoring for the Arizona hedgehog cactus, defined as repeat observations of the status of cactus individuals, has been done by consulting companies for three mines. Demographic monitoring further involves marking individual cacti in consistently defined plots and recording the fate of each cacti through time, including birth, growth, reproduction, and death. We were able to use demographic monitoring data provided by two consulting companies to calculate survival and population growth rates, using several statistical approaches. Resulting models indicate that larger cacti, as measured by their number of stems, have greater survival rates. Larger individuals also had higher probability of producing more flowers. Small cacti had the lowest survivorship, with potentially only 15–20 percent reaching large size. Most populations monitored by the two companies were stable to increasing. However, there were differences in the growth rates among plots and some plots had negative population growth rates. The demographic monitoring data we used represented relatively dense populations of undisturbed cacti. Hence, overall positive population growth rates were not influenced by any large-scale&nbsp;disturbances. Previous analyses with cacti and other species suggest that more than 10 years of data are necessary to accurately forecast long-term population trajectories. As the monitoring intervals we evaluated were shorter, they represent short-term dynamics only. Several suggestions are made in the report to improve collection of monitoring data to support evidence-based estimates of demographic characteristics of the Arizona hedgehog cactus.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191004","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service, Arizona Ecological Services","usgsCitation":"Thomas, K.A., Shryock, D.F., and Esque, T.C., 2019, Arizona hedgehog cactus (Echinocereus triglochidiatus var. arizonicus)—A systematic data assessment in support of recovery: U.S. Geological Survey Open-File Report 2019-1004, 36 p., https://doi.org/10.3133/ofr20191004.","productDescription":"viii, 36 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-099658","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":361617,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1004/ofr20191004.pdf","text":"Report","size":"3.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1004"},{"id":361616,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1004/coverthb.jpg"}],"country":"United States","state":"Arizona","county":"Gila County, Pinal County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.22421264648438,\n              33.25534082823907\n            ],\n            [\n              -110.9014892578125,\n              33.25534082823907\n            ],\n            [\n              -110.9014892578125,\n              33.48070852506531\n            ],\n            [\n              -111.22421264648438,\n              33.48070852506531\n            ],\n            [\n              -111.22421264648438,\n              33.25534082823907\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/sbsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc\">Southwest Biological Science Center</a><br>520 N. Park Avenue, Suite 221<br>University of Arizona, Building 120<br>Tucson, Arizona 85719</p>","tableOfContents":"<ul><li>Preface</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Data Assessment and Findings</li><li>Future Surveys and Monitoring</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-03-04","noUsgsAuthors":false,"publicationDate":"2019-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":756443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shryock, Daniel F. 0000-0003-0330-9815 dshryock@usgs.gov","orcid":"https://orcid.org/0000-0003-0330-9815","contributorId":208659,"corporation":false,"usgs":true,"family":"Shryock","given":"Daniel F.","email":"dshryock@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":756444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":756445,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205912,"text":"70205912 - 2019 - Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes","interactions":[],"lastModifiedDate":"2020-09-01T13:59:12.194472","indexId":"70205912","displayToPublicDate":"2019-03-03T07:48:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes","docAbstract":"Although seasonal patterns of ecosystem productivity have been extensively described and analyzed with respect to their primary forcings in terrestrial and marine systems, comparatively little is known about these same processes in rivers. However, it is now possible to perform a large‐scale synthesis on the patterns and drivers of river productivity regimes because of the recent sensor advances allowing for near‐continuous estimates of river productivity. Here, we explore a dataset of 47 U.S. rivers to examine whether there are characteristic river productivity regimes. We use classification approaches to develop a typology of productivity regimes and then use these regimes to examine differences with respect to potential controls of productivity. We identified two distinct metabolic regimes, which we named Summer Peak and Spring Peak Rivers, within our dataset. These regimes meaningfully differed in both the timing and magnitude of productivity and were robust to different approaches to classification. We also found that several variables, including watershed area and characteristics of water temperature or discharge, were able to predict the class membership of these regimes with modest accuracy. Our results support the presence of characteristic metabolic regimes and suggests that these regimes may have common sets of environmental controls. We present classification as one approach to begin exploring the productivity regimes of rivers. The strength of our approach is that it fully leverages these newly available high‐frequency productivity estimates to create classes that can be used to draw inferences about how the controls of river productivity differ between or within systems.","language":"English","publisher":"Wiley","doi":"10.1002/lno.11154","usgsCitation":"Savoy, P., Bernhardt, E.S., Appling, A.P., Heffernan, J.B., Stets, E.G., Read, J.S., and Harvey, J., 2019, Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes: Limnology and Oceanography, v. 64, no. 5, p. 1835-1851, https://doi.org/10.1002/lno.11154.","productDescription":"17 p.","startPage":"1835","endPage":"1851","ipdsId":"IP-098351","costCenters":[{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":467852,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.11154","text":"Publisher Index Page"},{"id":368197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Savoy, Philip","contributorId":219671,"corporation":false,"usgs":false,"family":"Savoy","given":"Philip","affiliations":[{"id":40048,"text":"Duke University Department of Biology","active":true,"usgs":false}],"preferred":false,"id":772844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, Emily S.","contributorId":173736,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily","email":"","middleInitial":"S.","affiliations":[{"id":27285,"text":"Duke Univerisity","active":true,"usgs":false}],"preferred":false,"id":772845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":772848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heffernan, James B. 0000-0001-7641-9949","orcid":"https://orcid.org/0000-0001-7641-9949","contributorId":211189,"corporation":false,"usgs":false,"family":"Heffernan","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":772846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":772849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772843,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harvey, Judson","contributorId":219672,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":772847,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202672,"text":"70202672 - 2019 - Influence of salinity on relative density of American crocodiles (Crocodylus acutus) in Everglades National Park: Implications for restoration of Everglades ecosystems","interactions":[],"lastModifiedDate":"2019-03-18T14:46:29","indexId":"70202672","displayToPublicDate":"2019-03-02T14:37:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Influence of salinity on relative density of American crocodiles (Crocodylus acutus) in Everglades National Park: Implications for restoration of Everglades ecosystems","docAbstract":"The status of the American crocodile (Crocodylus acutus) has long been a matter of concern in Everglades National Park (ENP) due to its classification as a federal and state listed species, its recognition as a flagship species, and its function as an ecosystem indicator. Survival and recovery of American crocodiles has been linked with regional hydrological conditions, especially freshwater flow to estuaries, which affect water levels and salinities. We hypothesize that efforts to restore natural function to Everglades ecosystems by improving water delivery into estuaries within ENP will change salinities and water levels which in turn will affect relative density of crocodiles. Monitoring ecological responses of indicator species, such as crocodiles, with respect to hydrologic change is necessary to evaluate ecosystem responses to restoration projects. Our objectives were to monitor trends in crocodile relative density within ENP and to determine influences of salinity on relative density of crocodiles. We examined count data from 12 years of crocodile spotlight surveys in ENP (2004 to 2015) and used a hierarchical model of relative density that estimated relative density with probability of detection. The mean predicted value for relative density (λ) across all surveys was 2.9 individuals/km (95% CI: 2.0 – 4.2); relative density was estimated to decrease with increases in salinity. Routes in ENP’s Flamingo/Cape Sable area had greater crocodile relative density than routes in the West Lake/Cuthbert Lake area and Northeast Florida Bay areas. These results are consistent with the hypothesis that restored flow and lower salinities will result in an increase in crocodile population size and provide support for the ecosystem management recommendations for crocodiles, which currently are to restore more natural patterns of freshwater flow to Florida Bay. Thus, monitoring relative density of American crocodiles will continue to be an effective indicator of ecological response to ecosystem restoration.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.03.002","usgsCitation":"Mazzotti, F., Smith, B., Squires, M., Cherkiss, M.S., Farris, S., Hackett, C., Hart, K., Briggs-Gonzalez, V., and Brandt, L.A., 2019, Influence of salinity on relative density of American crocodiles (Crocodylus acutus) in Everglades National Park: Implications for restoration of Everglades ecosystems: Ecological Indicators, v. 102, p. 608-616, https://doi.org/10.1016/j.ecolind.2019.03.002.","productDescription":"9 p.","startPage":"608","endPage":"616","ipdsId":"IP-096447","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":362147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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              -81.199951171875,\n              25.110471486223346\n            ],\n            [\n              -80.364990234375,\n              25.110471486223346\n            ],\n            [\n              -80.364990234375,\n              25.517657429994035\n            ],\n            [\n              -81.199951171875,\n              25.517657429994035\n            ],\n            [\n              -81.199951171875,\n              25.110471486223346\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":759419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Brian 0000-0002-0531-0492 bjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":202305,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","email":"bjsmith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":759420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Squires, Michiko","contributorId":214238,"corporation":false,"usgs":false,"family":"Squires","given":"Michiko","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":759421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael S. 0000-0002-7802-6791 mcherkiss@usgs.gov","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":4571,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","email":"mcherkiss@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":759418,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farris, Seth C","contributorId":214239,"corporation":false,"usgs":false,"family":"Farris","given":"Seth C","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":759422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hackett, Caitlin","contributorId":149797,"corporation":false,"usgs":false,"family":"Hackett","given":"Caitlin","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":759423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Kristen M. 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":209782,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":759424,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Briggs-Gonzalez, Venetia","contributorId":195705,"corporation":false,"usgs":false,"family":"Briggs-Gonzalez","given":"Venetia","affiliations":[],"preferred":false,"id":759425,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":759426,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70204567,"text":"70204567 - 2019 - A hierarchical Bayesian approach for handling missing classification data","interactions":[],"lastModifiedDate":"2020-02-19T13:42:42","indexId":"70204567","displayToPublicDate":"2019-03-02T10:37:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical Bayesian approach for handling missing classification data","docAbstract":"<ol class=\"\"><li><p>Ecologists use classifications of individuals in categories to understand composition of populations and communities. These categories might be defined by demographics, functional traits, or species. Assignment of categories is often imperfect, but frequently treated as observations without error. When individuals are observed but not classified, these “partial” observations must be modified to include the missing data mechanism to avoid spurious inference.</p></li><li><p>We developed two hierarchical Bayesian models to overcome the assumption of perfect assignment to mutually exclusive categories in the multinomial distribution of categorical counts, when classifications are missing. These models incorporate auxiliary information to adjust the posterior distributions of the proportions of membership in categories. In one model, we use an empirical Bayes approach, where a subset of data from one year serves as a prior for the missing data the next. In the other approach, we use a small random sample of data within a year to inform the distribution of the missing data.</p></li><li><p>We performed a simulation to show the bias that occurs when partial observations were ignored and demonstrated the altered inference for the estimation of demographic ratios. We applied our models to demographic classifications of elk (<i>Cervus elaphus nelsoni</i>) to demonstrate improved inference for the proportions of sex and stage classes.</p></li><li><p>We developed multiple modeling approaches using a generalizable nested multinomial structure to account for partially observed data that were missing not at random for classification counts. Accounting for classification uncertainty is important to accurately understand the composition of populations and communities in ecological studies.</p></li></ol>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4927","usgsCitation":"Alison C. Ketz, Johnson, T.L., Hooten, M., and Hobbs, N.T., 2019, A hierarchical Bayesian approach for handling missing classification data: Ecology and Evolution, v. 9, no. 6, p. 3130-3140, https://doi.org/10.1002/ece3.4927.","productDescription":"11 p.","startPage":"3130","endPage":"3140","ipdsId":"IP-085364","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467853,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4927","text":"Publisher Index Page"},{"id":366204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Alison C. Ketz","contributorId":217827,"corporation":false,"usgs":false,"family":"Alison C. Ketz","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":767599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Therese L.","contributorId":217828,"corporation":false,"usgs":false,"family":"Johnson","given":"Therese","email":"","middleInitial":"L.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":767600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":767598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobbs, N. Thompson","contributorId":217829,"corporation":false,"usgs":false,"family":"Hobbs","given":"N.","email":"","middleInitial":"Thompson","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":767601,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201854,"text":"cir1452 - 2019 - Cooperative Fish and Wildlife Research Units program—2018 year in review","interactions":[],"lastModifiedDate":"2019-04-01T15:13:40","indexId":"cir1452","displayToPublicDate":"2019-03-01T17:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1452","displayTitle":"Cooperative Fish and Wildlife Research Units Program—2018 Year in Review","title":"Cooperative Fish and Wildlife Research Units program—2018 year in review","docAbstract":"<p>The Cooperative Fish and Wildlife Research Units (CRU) program had an interesting and challenging year in 2018. We made significant strategic advances on many fronts and had setbacks in others.</p><p>Our relationship with the U.S. Fish and Wildlife Service, the agency we belonged to from 1935 to the mid-1990s, was further reinforced through strategic efforts with the Service’s Science Applications senior staff. This is bearing fruit in terms of research collaborations and funding support. As part of a larger effort between the U.S. Geological Survey (USGS) Ecosystems Mission Area and the Service’s endangered species program, we are also collaborating to address science needs for species in pre-listing status. Barry Grand, Unit Supervisor (South), has been instrumental in this effort.</p><p>Tom Edwards of the Utah Unit has met with representatives of the U.S. Fish and Wildlife Service and the Association of Fish and Wildlife Agencies to promote training of leaders and “hands dirty” biologists in species distribution modeling. The Association passed a unanimous resolution endorsing the training at their midyear meeting in March. Tom held a workshop at the annual meeting of the Association of Fish and Wildlife Agencies in September, and future workshops, supported by the U.S. Fish and Wildlife Service, will be held bringing State agency and U.S. Fish and Wildlife Service biologists together to work on species of common concern.</p><p>Wyoming Unit Leader Matt Kauffman’s pioneering work in identifying and mapping big-game migration corridors has captured the attention of conservationists far and wide. In the spring, the Secretary of the Interior signed Secretarial Order No. 3362, \"Improving Habitat Quality in Western Big-Game Winter Range and Migration Corridors\" directing efforts of several U.S. Department of the Interior (DOI) bureaus to collaborate with States in identifying and protecting big-game corridors in 11 States. Matt has conducted several workshops that directly support the Secretarial order, and more are planned. Corridor mapping efforts supported by the USGS and the DOI, based in the States and coordinated by Matt, are unfolding.</p><p>Unit Administrative Officer Shana Coulby and her staff hosted a training program for university support staff at USGS National Headquarters in March. Shana’s team did a superb job, and the camaraderie among all was evident.</p><p>We co-sponsored the third in a series of workshops at the North American Wildlife and Natural Resources Conference in March on bridging the gap between science and management.</p><p>The State Department requested that we coordinate a workshop that would bring CRU scientists and other U.S. representatives together with Brazilian, Colombian, and Peruvian scientists and decision makers to develop best practices to minimize environmental damage from infrastructure development in the Amazon and to collaborate on science needs. The workshop was held in Iquitos, Peru, in the heart of the Amazon during August.</p><p>Our cooperator community, represented by the National Cooperators Coalition, was very active in response to the President’s budget proposal that would have redirected funding for the CRU program to other priorities. Their efforts are reflected in the House and Senate marks on the fiscal year 2019 budget that not only restored funding, but recommended increases.</p><p>You will see in this report many other accomplishments of our individual scientists and students during 2018. It was an impressive and productive year! What you won’t see chronicled is the work of the CRU headquarters staff and University support staff. These folks are extraordinary in their dedication to working with cooperators and scientists to solve problems and ensure the important work gets accomplished with minimal interference. We are truly fortunate to have such skilled and dedicated folks in the trenches.</p><p>I was fortunate to visit several units during 2018. For me, this is the most enriching part of my duties. I get to see firsthand the work our scientists do, the incredible students being mentored, and meet our cooperators on their turf.</p><p>As we look forward towards the horizon, 2019 looks brighter for the CRU program. Efforts by our cooperators to generate support for filling our vacancies are materializing. Our cadre of scientists is second to none, and the breadth and depth of our work are nothing short of impressive. Thanks to all who are part of this cooperative endeavor—conservation is the ultimate winner in our efforts!</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1452","isbn":"978-1-4113-4287-3","collaboration":" ","usgsCitation":"Organ, J.F., Thompson, J.D., Childs, D.E., and Dennerline, D.E., 2019, Cooperative Fish and Wildlife Research Units program—2018 year in review (ver. 1.1, March 29, 2019): U.S. Geological Survey Circular 1452, 52 p., https://doi.org/10.3133/cir1452.","productDescription":"iii, 52 p.","numberOfPages":"60","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-098975","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":361572,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1452/coverthb2.jpg"},{"id":361574,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/gip187","text":"General Information Product 187","linkHelpText":"- Cooperative Fish and Wildlife Research Units Program—2018 Year in Review (postcard)"},{"id":362533,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/circ/1452/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":361573,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1452/circ1452.pdf","text":"Report","size":"37.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIRC 1452"}],"country":"United States","edition":"Version 1.0: March 1, 2019; Version 1.1: March 29,2019","contact":"<p><a href=\"https://www.coopunits.org/Headquarters/\" data-mce-href=\"https://www.coopunits.org/Headquarters/\">Cooperative Fish and Wildlife Research Units Program</a><br>U.S. Geological Survey<br>Mail Stop 303<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Chief’s Message</li><li>Background</li><li>CRU Mission and Facts</li><li>Outdoor Recreation Economy Statistics</li><li>Training the Conservation Workforce—Education and Youth</li><li>Outreach and Training</li><li>Leveraging Resources</li><li>Budget and Staffing</li><li>Science Themes</li><li>Where Are They Now?</li><li>Accolades</li><li>Professional Services</li><li>2018 North American Wildlife and Natural Resources Conference</li><li>National Cooperators’ Coalition Update</li><li>List of Cooperators</li><li>List of Species</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-03-01","revisedDate":"2019-03-29","noUsgsAuthors":false,"publicationDate":"2019-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":755524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, John D. 0000-0003-4113-2440 jthompson@usgs.gov","orcid":"https://orcid.org/0000-0003-4113-2440","contributorId":177395,"corporation":false,"usgs":true,"family":"Thompson","given":"John","email":"jthompson@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":755525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childs, Dawn E. 0000-0001-8544-9517","orcid":"https://orcid.org/0000-0001-8544-9517","contributorId":212083,"corporation":false,"usgs":true,"family":"Childs","given":"Dawn E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":755523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dennerline, Donald E. 0000-0001-8345-315X","orcid":"https://orcid.org/0000-0001-8345-315X","contributorId":212084,"corporation":false,"usgs":true,"family":"Dennerline","given":"Donald E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":755526,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204211,"text":"70204211 - 2019 - Isotopic ratios of Saturn's rings and satellites: Implications for the origin of water and Phoebe","interactions":[],"lastModifiedDate":"2019-07-12T15:37:50","indexId":"70204211","displayToPublicDate":"2019-03-01T15:37:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic ratios of Saturn's rings and satellites: Implications for the origin of water and Phoebe","docAbstract":"Isotopic ratios have long been used to learn about physical processes acting over a wide range of geological environments, and in constraining the origin and/or evolution of planetary bodies. We report the spectroscopic detection of deuterium in Saturn's rings and satellites, and use these measurements to determine the (D/H) ratios in their near-surface regions. Saturn's moons, Phoebe and Iapetus, show a strong signature of CO2 and the 13C component of this molecule is detected and quantified. Large averages of spectra obtained by the Cassini Visual and Infrared Mapping Spectrometer, VIMS, were computed for the rings and icy satellites. The observed intensities of the infrared absorptions in H2O and CO2 and their isotopes were calibrated using laboratory data and radiative transfer models to derive the D/H and 13C/12C ratios. We find that the D/H in Saturn's rings and satellites is close to the Vienna Standard Mean Ocean Water (VSMOW) and bulk Earth (4% lower than VSMOW) value except for Phoebe, which is 8.3 times the VSMOW value. This is the highest value for any Solar-System surface yet measured, and suggests that Phoebe formed from material with a different D/H ratio than the other satellites in the Saturn system. Phoebe’s 13C/12C ratio is also unusual: 4.7 times greater than terrestrial, and greater than values measured for the interstellar medium and the galactic center. The high 13C abundance in the CO2 suggests that Phoebe was never warm enough for the large D/H ratio in its surface to have originated by evaporative fractionation of its waterice (e.g., from heating in the inner Solar System before its eventual capture by Saturn). We also report the detection of a probable O-D stretch absorption due to OD in minerals on Phoebe at 3.62 μm. This absorption is not detected on other Saturnian satellites. Stronger signatures of bound water absorptions are found in the dark material of Iapetus and we report a new detection of bound water at 1.9 μm. The position of this absorption matches that seen in spectra of hydrated iron oxides but does not match absorptions seen in spectra of tholins. Despite the strong bound water signature in the Iapetus dark material, no 3.62-μm OD absorption is seen in the spectra, further indicating the high deuterium level on Phoebe is unusual. As such, it is likely that Phoebe originated in a colder part of the outer Solar System, relative to the prevailing temperatures at Saturn’s distance from the Sun.","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2018.11.029","usgsCitation":"Clark, R.N., Brown, R.H., Cruikshank, D., and Swayze, G.A., 2019, Isotopic ratios of Saturn's rings and satellites: Implications for the origin of water and Phoebe: Icarus, v. 40, no. 3, p. 431-470, https://doi.org/10.1016/j.icarus.2018.11.029.","productDescription":"40 p.","startPage":"431","endPage":"470","ipdsId":"IP-093622","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":365528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Roger N. 0000-0002-7021-1220","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":189154,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"","middleInitial":"N.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":766018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Robert H.","contributorId":147246,"corporation":false,"usgs":false,"family":"Brown","given":"Robert","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":766019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cruikshank, D.P.","contributorId":216896,"corporation":false,"usgs":false,"family":"Cruikshank","given":"D.P.","email":"","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":766020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":766017,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203078,"text":"70203078 - 2019 - Topographic mapping evolution: From field and photogrammetric data collection to GIS production and Linked Open Data","interactions":[],"lastModifiedDate":"2019-04-18T15:37:18","indexId":"70203078","displayToPublicDate":"2019-03-01T15:34:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1187,"text":"Cartographic Journal","active":true,"publicationSubtype":{"id":10}},"title":"Topographic mapping evolution: From field and photogrammetric data collection to GIS production and Linked Open Data","docAbstract":"Whither the topographic map? Topographic mapping historically has been approached as a map factory operation through the period 1879-1990. During this time, data were field and photogrammetrically collected; cartographically verified and annotated creating a compilation manuscript; further edited, generalized, symbolized, and produced as a graphic output product using lithography, or more recently, through digital means. Adoption of geographic information systems (GIS) as the primary production process for topographic maps, including digital database preparation (1975-2000) and product generation operations (2001-present), has led to faster and more standardized production in a semi-automated process. However, the topographic product has remained the same static graphic.\nGlobal Navigation Systems (GNS) began in the post 1990s, led to publicly and commercially produced location-based information traditionally provided by surveyors for topographic maps.  Advances in GIS technology, computer processing, memory, and storage devices, along with GNS spawned new location systems and led to ubiquitous, consumer-based cartography through commercial entities on the World Wide Web (Web). This global availability of cartography has provided consumer access and the ability to produce topographic types of map products previously supplied only by traditional National Mapping Agencies (NMAs). Information provided by location-based services made available through connected databases has led to completely new business models based on cartography and geospatial data.\nA new form of topographic map as an interactive, linked knowledge base is now being created. The appearance of the Semantic Web and Linked Open Data allows the map to become an interactive knowledge base. In this current theory and implementation of topographic mapping, the map is a graphics-based interface to a triplestore knowledge base which includes a topographic feature ontology, semantics and relations, and instance data with geometry and topology available. The topographic map graphic becomes an interactive link to the knowledge base and additional linked data through the Linked Open Data cloud.","language":"English","publisher":"British Cartographic Society","doi":"10.1080/00087041.2018.1539555","usgsCitation":"Usery, E., Varanka, D.E., and Davis, L., 2019, Topographic mapping evolution: From field and photogrammetric data collection to GIS production and Linked Open Data: Cartographic Journal, v. 55, no. 4, p. 378-390, https://doi.org/10.1080/00087041.2018.1539555.","productDescription":"13 p.","startPage":"378","endPage":"390","ipdsId":"IP-099204","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":363049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Usery, E. Lynn 0000-0002-2766-2173","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":204684,"corporation":false,"usgs":true,"family":"Usery","given":"E. Lynn","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":761077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":761078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Larry 0000-0003-2479-7432","orcid":"https://orcid.org/0000-0003-2479-7432","contributorId":206695,"corporation":false,"usgs":true,"family":"Davis","given":"Larry","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":761079,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202715,"text":"70202715 - 2019 - Landscape connectivity planning for adaptation to future climate and land-use change","interactions":[],"lastModifiedDate":"2019-03-21T16:33:11","indexId":"70202715","displayToPublicDate":"2019-03-01T12:56:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5476,"text":"Current Landscape Ecology Reports","active":true,"publicationSubtype":{"id":10}},"title":"Landscape connectivity planning for adaptation to future climate and land-use change","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Purpose of Review</strong></p><p id=\"Par1\" class=\"Para\">We examined recent literature on promoting habitat connectivity in the context of climate change (CC) and land-use change (LUC). These two global change forcings have wide-reaching ecological effects that are projected to worsen in the future. Improving connectivity is a common adaptation strategy, but CC and LUC can also degrade planned connections, potentially reducing their effectiveness. We synthesize advances in connectivity design approaches, identify challenges confronted by researchers and practitioners, and offer suggestions for future research.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Recent Findings</strong></p><p id=\"Par2\" class=\"Para\">Recent studies incorporated future CC into connectivity design more often than LUC and rarely considered the two drivers jointly. When considering CC, most studies have focused on relatively broad spatial and temporal extents and have included either species-based targets or coarse-filter targets like geodiversity and climate gradients. High levels of uncertainty about future LUC and lack of consistent, readily available model simulations are likely hindering its inclusion in connectivity modeling. This high degree of uncertainty extends to efforts to jointly consider future CC and LUC.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Summary</strong></p><p id=\"Par3\" class=\"Para\">We argue that successful promotion of connectivity as a means to adapt to CC and LUC will depend on (1) the velocity of CC, (2) the velocity of LUC, and (3) the degree of existing landscape fragmentation. We present a new conceptual framework to assist in identifying connectivity networks given these three factors. Given the high uncertainty associated with future CC and LUC, incorporating insights from decision science into connectivity planning will facilitate the development of more robust adaptation strategies.</p></div>","language":"English","publisher":"Springer","doi":"10.1007/s40823-019-0035-2","usgsCitation":"Costanza, J.K., and Terando, A.J., 2019, Landscape connectivity planning for adaptation to future climate and land-use change: Current Landscape Ecology Reports, v. 4, no. 1, p. 1-13, https://doi.org/10.1007/s40823-019-0035-2.","productDescription":"13 p. ","startPage":"1","endPage":"13","ipdsId":"IP-088295","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":362244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Costanza, Jennifer K.","contributorId":176907,"corporation":false,"usgs":false,"family":"Costanza","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":759627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":759626,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202683,"text":"70202683 - 2019 - Adjudicating groundwater: A judge’s guide to understanding groundwater and modeling","interactions":[],"lastModifiedDate":"2019-03-19T13:10:49","indexId":"70202683","displayToPublicDate":"2019-03-01T12:54:59","publicationYear":"2019","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Adjudicating groundwater: A judge’s guide to understanding groundwater and modeling","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><strong></strong></span><i>Dividing the Waters</i><span>&nbsp;offers this groundwater science bench book that cannot be matched by any other scientific or judicial publication.&nbsp;&nbsp;</span><i>Adjudicating Groundwater</i><span>&nbsp;combines the expertise and experience of academic scientists (UC Davis/Stanford), federal scientists (U.S. Geological Survey), and judicial officers to create a resource that can fulfill the needs of judges tackling the most difficult groundwater conflicts.&nbsp; This bench book explains both the fundamentals of groundwater science (hydrogeology) and groundwater modeling. &nbsp;The bench book received peer review from scientists and judges, with oversight by the U.S. Geological Survey, making this book among the most reliable resources for judges with water cases.</span></p>","language":"English","publisher":"The National Judicial College","usgsCitation":"Harter, T., Moran, T., and Wildman, E., 2019, Adjudicating groundwater: A judge’s guide to understanding groundwater and modeling.","ipdsId":"IP-097084","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":362180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362145,"type":{"id":15,"text":"Index Page"},"url":"https://www.judges.org/dtw/adjudicating-groundwater/"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Brandt, Alf","contributorId":214284,"corporation":false,"usgs":false,"family":"Brandt","given":"Alf","email":"","affiliations":[],"preferred":false,"id":759544,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":171511,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759545,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"White, Jeremy T. 0000-0002-4950-1469 jwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":167708,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jwhite@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759546,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Harter, Thomas","contributorId":178245,"corporation":false,"usgs":false,"family":"Harter","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":759547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Tara","contributorId":214282,"corporation":false,"usgs":false,"family":"Moran","given":"Tara","email":"","affiliations":[],"preferred":false,"id":759548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wildman, Eric","contributorId":214283,"corporation":false,"usgs":false,"family":"Wildman","given":"Eric","email":"","affiliations":[],"preferred":false,"id":759549,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204785,"text":"70204785 - 2019 - Integrating magnetotellurics, soil gas geochemistry and structural analysis to identify hidden, high enthalpy, extensional geothermal systems","interactions":[],"lastModifiedDate":"2019-08-16T11:44:10","indexId":"70204785","displayToPublicDate":"2019-03-01T11:43:38","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Integrating magnetotellurics, soil gas geochemistry and structural analysis to identify hidden, high enthalpy, extensional geothermal systems","docAbstract":"We applied magnetotellurics (MT), diagnostic structural affiliations, soil gas flux, and fluid geochemistry to assist in identifying hidden, high-enthalpy geothermal systems in extensional regimes of the U.S. Great Basin. We are specifically looking for high-angle, low-resistivity zones and dilatant geologic structures that can carry fluids from magmatic or high-grade metamorphic conditions in the deep crust upward to exploitable depths, and to verify the nature of the deep sources through soil gas and fluid compositions. The project was motivated by prior MT transect coverage of western and central Nevada centered upon the Dixie Valley producing geothermal system where such favorable indicators were first recognized. The high-angle MT structures are taken to be fluidized fault zones connecting deep magmatic/metamorphic activity with the geothermal system, but the concept required verification by testing at other systems.\nThe project was set up with a two-phased organization. Phase I was carried out at the McGinness Hills system, central Nevada, where Ormat Inc flagship power facility is located and a considerable amount of pre-existing data were available. Resistivity models along MT transects also showed a strong low-resistivity upwelling originating from interpreted deep crustal magmatic underplating. Controlling structures on production as indicated by Ormat data and our new mapping were favorable to dilatancy, comprising an accommodation zone between major normal faults of opposing dip. A 3D MT survey and inversion confirmed the existence of the steep low-resistivity zone dipping ESE toward the deep crust and placed N-S bounds upon the feature. In cooperation with Ormat personnel, we sampled well fluids from production intervals for He isotope composition. Elevated 3He was verified through mass spectrometry analysis confirming a magmatic connection with the producing system. High CO2 soil gas flux including possibly metamorphic 13C and 14C component was measured over the area of dilatant structures. Hence, the triad of indicators posed above was confirmed in Phase I.\nSubsequently, Phase II of the project proceeded in the greenfield Kumiva-Blackrock Desert district of northwestern Nevada to see if a new system could be identified. Transect MT data also showed a low-resistivity upwelling originating from interpreted deep crustal magmatic underplating. An MT survey of 131 sites was imaged through 3D inversion using an in-house, DOE-supported finite element algorithm. Low resistivity upwellings that warranted follow up study occur under the flanks of the Seven Troughs Range, under Kumiva Playa immediately west of the Blue Wing Mountains, and under northern Granite Springs Valley. Structural assessment of the project area by Co-I J. Faulds at UNR provided numerous favorable Quaternary fault settings, which were correlated to the MT upwelling structures. Soil CO2 gas flux anomalies generally were not large but did show correlation with resistivity upwelling structure and favorable geological structures. Isotope analyses showed presence of possible inorganic/metamorphic 13C but 14C concentrations did not exceed background values.\nWe view the initial concept of a confluence of low-resistivity upwelling, favorably dilatant 3D geological structure, and elevated soil gas flux including 13C component to be supported by the further evidence of this project although the indicators in the Phase II study were more diffuse. Mass balance calculations based upon 3He R/Ra values indicates that the proportion of magmatic fluids in a producing system is fairly low, 10-15% by volume. We suggest that the diagnostic MT geophysical structures denote zones of concentrated extensional deformation that increases permeability, potentially enabling a circulating upper crustal geothermal system, while at the same time connecting telltale deep component signatures to the upper crust. The northern Granite Springs Valley structure is receiving followup stu","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, 44nd Workshop on Geothermal Reservoir Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Stanford Geothermal Conference","conferenceDate":"Feb 11-13, 2019","language":"English","publisher":"Stanford Universtiy","usgsCitation":"Philip E. Wannamaker, Faulds, J.E., B. Mack Kennedy, Maris, V., Siler, D.L., Craig Ulrich, and Moore, J., 2019, Integrating magnetotellurics, soil gas geochemistry and structural analysis to identify hidden, high enthalpy, extensional geothermal systems, <i>in</i> Proceedings, 44nd Workshop on Geothermal Reservoir Engineering, v. 44, Feb 11-13, 2019, SGP-TR-214, 19 p.","productDescription":"SGP-TR-214, 19 p.","ipdsId":"IP-104742","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":366604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366576,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=29105"}],"country":"United States","state":"Nevada","otherGeospatial":"McGinness Hills","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.39715576171875,\n              39.31942523123949\n            ],\n            [\n              -116.224365234375,\n              39.31942523123949\n            ],\n            [\n              -116.224365234375,\n              39.87601941962116\n            ],\n            [\n              -117.39715576171875,\n              39.87601941962116\n            ],\n            [\n              -117.39715576171875,\n              39.31942523123949\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Philip E. Wannamaker","contributorId":218146,"corporation":false,"usgs":false,"family":"Philip E. Wannamaker","affiliations":[{"id":39762,"text":"EGI/University of Utah","active":true,"usgs":false}],"preferred":false,"id":768472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faulds, James E","contributorId":218147,"corporation":false,"usgs":false,"family":"Faulds","given":"James","email":"","middleInitial":"E","affiliations":[{"id":39739,"text":"Nevada Bureau of Mines and Geology, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":768473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"B. Mack Kennedy","contributorId":218148,"corporation":false,"usgs":false,"family":"B. 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,{"id":70202437,"text":"70202437 - 2019 - Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate","interactions":[],"lastModifiedDate":"2019-06-18T10:27:40","indexId":"70202437","displayToPublicDate":"2019-03-01T10:39:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate","docAbstract":"<p><span>In response to warming winter air temperatures, freeze-sensitive mangrove forests are expected to expand at the expense of freeze-tolerant salt marshes. To better anticipate and prepare for mangrove range expansion, there is a need to advance understanding of the modulating role of microclimate. Here, we synthesized hypotheses regarding the effects of microclimatic variation on temperature gradients and mangrove freeze damage. Temperature data from the literature and from temperature loggers were used to quantify ecologically relevant temperature gradients. Then, literature-derived mangrove freeze damage data were used to quantify the ecological effects of these temperature gradients. Six microclimatic factors are described that produce air temperature gradients that modulate mangrove responses to winter temperature extremes: (1) distance from the ocean; (2) distance from wind buffers; (3) mangrove canopy cover; (4) height above the soil surface; (5) local slope concavity; and (6) tidal inundation. Variation in these factors produces local temperature differences that range from 2 to 14&nbsp;°C, with concomitant effects on horizontal and vertical patterns of biological damage from freezing. Collectively, our results elucidate the influence of microclimate on spatial patterns of biological damage and mortality due to winter temperature extremes. As mangrove ranges expand in response to climate change, we anticipate that microclimatic variation will produce adverse environments where mangrove expansion is prohibited as well as expansion hot spots where mangroves are protected. Subsequent expansion into newly available habitat will occur from protection zones, and microclimatic gradients may even produce positive feedback cycles that ultimately accelerate the rate of range expansion in response to warming.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00533-1","usgsCitation":"Osland, M.J., Hartmann, A.M., Day, R.H., Ross, M.S., Hall, C., Feher, L.C., and Vervaeke, W., 2019, Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate: Estuaries and Coasts, v. 42, no. 4, p. 1084-1096, https://doi.org/10.1007/s12237-019-00533-1.","productDescription":"13 p.","startPage":"1084","endPage":"1096","ipdsId":"IP-098812","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437551,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YWSV4O","text":"USGS data release","linkHelpText":"Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate"},{"id":361637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartmann, Arik M.","contributorId":213401,"corporation":false,"usgs":false,"family":"Hartmann","given":"Arik","email":"","middleInitial":"M.","affiliations":[{"id":38748,"text":"Hartmann Consulting Services at the U.S. Geological Survey, Wetland and Aquatic Research Center","active":true,"usgs":false}],"preferred":false,"id":758507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, Michael S.","contributorId":202431,"corporation":false,"usgs":false,"family":"Ross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":36434,"text":"Florida International University, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":758509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Courtney T. 0000-0003-0990-5212","orcid":"https://orcid.org/0000-0003-0990-5212","contributorId":176330,"corporation":false,"usgs":true,"family":"Hall","given":"Courtney T.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feher, Laura C. 0000-0002-5983-6190 lhundy@usgs.gov","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":176788,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","email":"lhundy@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758511,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vervaeke, William 0000-0002-1518-5197 vervaekew@usgs.gov","orcid":"https://orcid.org/0000-0002-1518-5197","contributorId":3265,"corporation":false,"usgs":true,"family":"Vervaeke","given":"William","email":"vervaekew@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758512,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202442,"text":"70202442 - 2019 - Hillslope hydrology in global change research and earth system modeling","interactions":[],"lastModifiedDate":"2019-03-26T16:04:00","indexId":"70202442","displayToPublicDate":"2019-03-01T10:35:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hillslope hydrology in global change research and earth system modeling","docAbstract":"<p><span>Earth System Models (ESMs) are essential tools for understanding and predicting global change, but they cannot explicitly resolve hillslope‐scale terrain structures that fundamentally organize water, energy, and biogeochemical stores and fluxes at subgrid scales. Here we bring together hydrologists, Critical Zone scientists, and ESM developers, to explore how hillslope structures may modulate ESM grid‐level water, energy, and biogeochemical fluxes. In contrast to the one‐dimensional (1‐D), 2‐ to 3‐m deep, and free‐draining soil hydrology in most ESM land models, we hypothesize that 3‐D, lateral ridge‐to‐valley flow through shallow and deep paths and insolation contrasts between sunny and shady slopes are the top two globally quantifiable organizers of water and energy (and vegetation) within an ESM grid cell. We hypothesize that these two processes are likely to impact ESM predictions where (and when) water and/or energy are limiting. We further hypothesize that, if implemented in ESM land models, these processes will increase simulated continental water storage and residence time, buffering terrestrial ecosystems against seasonal and interannual droughts. We explore efficient ways to capture these mechanisms in ESMs and identify critical knowledge gaps preventing us from scaling up hillslope to global processes. One such gap is our extremely limited knowledge of the subsurface, where water is stored (supporting vegetation) and released to stream baseflow (supporting aquatic ecosystems). We conclude with a set of organizing hypotheses and a call for global syntheses activities and model experiments to assess the impact of hillslope hydrology on global change predictions.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR023903","usgsCitation":"Fan, Y., Clark, M., Lawrence, D.M., Swenson, S., Band, L.E., Brantley, S.L., Brooks, P.D., Dietrich, W.E., Flores, A., Grant, G., Kirchner, J.W., Mackay, D., McDonnell, J., Milly, P.C., Sullivan, P.L., Tague, C., Ajami, H., Chaney, N.W., Hartmann, A., Hazenberg, P., McNamara, J., Pelletier, J., Perket, J., Rouholahnejad-Freund, E., Wagener, T., Zeng, X., Beighley, E., Buzan, J., Huang, M., Livneh, B., Mohanty, B.P., Nijssen, B., Safeeq, M., Shen, C., van Verseveld, W., Volk, J., and Yamazaki, D., 2019, Hillslope hydrology in global change research and earth system modeling: Water Resources Research, v. 55, no. 2, p. 1737-1772, https://doi.org/10.1029/2018WR023903.","productDescription":"36 p.","startPage":"1737","endPage":"1772","ipdsId":"IP-102674","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467856,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018wr023903","text":"Publisher Index Page"},{"id":361636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Fan, Ying","contributorId":213846,"corporation":false,"usgs":false,"family":"Fan","given":"Ying","email":"","affiliations":[{"id":38903,"text":"Rutgers Univ.","active":true,"usgs":false}],"preferred":false,"id":758550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Martyn","contributorId":176319,"corporation":false,"usgs":false,"family":"Clark","given":"Martyn","affiliations":[],"preferred":false,"id":758551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, David M.","contributorId":105206,"corporation":false,"usgs":false,"family":"Lawrence","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":758552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swenson, Sean","contributorId":213847,"corporation":false,"usgs":false,"family":"Swenson","given":"Sean","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":758553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Band, L. 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,{"id":70201001,"text":"70201001 - 2019 - Spatiotemporal remote sensing of ecosystem change and causation across Alaska","interactions":[],"lastModifiedDate":"2024-05-17T15:00:39.48988","indexId":"70201001","displayToPublicDate":"2019-03-01T10:33:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal remote sensing of ecosystem change and causation across Alaska","docAbstract":"<p><span>Contemporary climate change in Alaska has resulted in amplified rates of press and pulse disturbances that drive ecosystem change with significant consequences for socio‐environmental systems. Despite the vulnerability of Arctic and boreal landscapes to change, little has been done to characterize landscape change and associated drivers across northern high‐latitude ecosystems. Here we characterize the historical sensitivity of Alaska's ecosystems to environmental change and anthropogenic disturbances using expert knowledge, remote sensing data, and spatiotemporal analyses and modeling. Time‐series analysis of moderate—and high‐resolution imagery was used to characterize land‐ and water‐surface dynamics across Alaska. Some 430,000 interpretations of ecological and geomorphological change were made using historical air photos and satellite imagery, and corroborate land‐surface greening, browning, and wetness/moisture trend parameters derived from peak‐growing season Landsat imagery acquired from 1984 to 2015. The time series of change metrics, together with climatic data and maps of landscape characteristics, were incorporated into a modeling framework for mapping and understanding of drivers of change throughout Alaska. According to our analysis, approximately 13% (~174,000&nbsp;±&nbsp;8700&nbsp;km</span><sup>2</sup><span>) of Alaska has experienced directional change in the last 32&nbsp;years (±95% confidence intervals). At the ecoregions level, substantial increases in remotely sensed vegetation productivity were most pronounced in western and northern foothills of Alaska, which is explained by vegetation growth associated with increasing air temperatures. Significant browning trends were largely the result of recent wildfires in interior Alaska, but browning trends are also driven by increases in evaporative demand and surface‐water gains that have predominately occurred over warming permafrost landscapes. Increased rates of photosynthetic activity are associated with stabilization and recovery processes following wildfire, timber harvesting, insect damage, thermokarst, glacial retreat, and lake infilling and drainage events. Our results fill a critical gap in the understanding of historical and potential future trajectories of change in northern high‐latitude regions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14279","usgsCitation":"Pastick, N.J., Jorgenson, M., Goetz, S., Jones, B.M., Wylie, B.K., Minsley, B.J., Genet, H., Knight, J.F., Swanson, D.K., and Jorgenson, J.C., 2019, Spatiotemporal remote sensing of ecosystem change and causation across Alaska: Global Change Biology, v. 25, no. 3, p. 1171-1189, https://doi.org/10.1111/gcb.14279.","productDescription":"18 p.","startPage":"1171","endPage":"1189","ipdsId":"IP-096342","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":437552,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DV1J6N","text":"USGS data release","linkHelpText":"Probabilistic estimates of landscape change in Alaska (1984 to 2015)"},{"id":359597,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Torre","affiliations":[],"preferred":false,"id":751666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goetz, Scott J.","contributorId":22232,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott J.","affiliations":[],"preferred":false,"id":751667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":751668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":751669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":751670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Genet, Hélène","contributorId":195179,"corporation":false,"usgs":false,"family":"Genet","given":"Hélène","affiliations":[],"preferred":false,"id":751671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Knight, Joseph F.","contributorId":55311,"corporation":false,"usgs":true,"family":"Knight","given":"Joseph","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":751672,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swanson, David K.","contributorId":178902,"corporation":false,"usgs":false,"family":"Swanson","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":751673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jorgenson, Janet C.","contributorId":191903,"corporation":false,"usgs":false,"family":"Jorgenson","given":"Janet","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":751674,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70202444,"text":"70202444 - 2019 - Prediction of ice‐free conditions for a perennially ice‐covered Antarctic lake","interactions":[],"lastModifiedDate":"2019-03-26T16:04:41","indexId":"70202444","displayToPublicDate":"2019-03-01T10:31:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Prediction of ice‐free conditions for a perennially ice‐covered Antarctic lake","docAbstract":"<p><span>Although perennially ice‐covered Antarctic lakes have experienced variable ice thicknesses over the past several decades, future ice thickness trends and associated aquatic biological responses under projected global warming remain unknown. Heat stored in the water column in chemically stratified Antarctic lakes that have middepth temperature maxima can significantly influence the ice thickness trends via upward heat flux to the ice/water interface. We modeled the ice thickness of the west lobe of Lake Bonney, Antarctica, based on possible future climate scenarios utilizing a 1D thermodynamic model that accounts for surface radiative fluxes as well as the heat flux associated with the temperature evolution of the water column. Model results predict that the ice cover of Lake Bonney will shift from perennial to seasonal within one to four decades, a change that will drastically influence ecosystem processes within the lake.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JF004756","usgsCitation":"Obryk, M., Doran, P.T., and Priscu, J.C., 2019, Prediction of ice‐free conditions for a perennially ice‐covered Antarctic lake: Journal of Geophysical Research F: Earth Surface, v. 124, no. 2, p. 686-694, https://doi.org/10.1029/2018JF004756.","productDescription":"9 p.","startPage":"686","endPage":"694","ipdsId":"IP-097873","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jf004756","text":"Publisher Index Page"},{"id":361635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Taylor Valley, McMurdo Dry Valleys, Antarctica","volume":"124","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Obryk, Maciej K. 0000-0002-8182-8656","orcid":"https://orcid.org/0000-0002-8182-8656","contributorId":203477,"corporation":false,"usgs":true,"family":"Obryk","given":"Maciej","middleInitial":"K.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":758589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, P. T.","contributorId":213879,"corporation":false,"usgs":false,"family":"Doran","given":"P.","email":"","middleInitial":"T.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":758590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Priscu, J. C.","contributorId":213880,"corporation":false,"usgs":false,"family":"Priscu","given":"J.","email":"","middleInitial":"C.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":758591,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202431,"text":"70202431 - 2019 - An improved mechanical owl for efficient capture of nesting raptors","interactions":[],"lastModifiedDate":"2019-03-01T10:28:12","indexId":"70202431","displayToPublicDate":"2019-03-01T10:28:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"An improved mechanical owl for efficient capture of nesting raptors","docAbstract":"<p><span>Scientific study of raptors often requires the use of a lure to capture individuals for marking or collecting various data and samples. Live lure owls in the genus&nbsp;</span><i>Bubo</i><span>&nbsp;are commonly used with mist nets or dho-gazas to trap nesting raptors, but the use of these live lures presents ethical, logistical, and financial challenges. Although owls mounted by taxidermists and mechanical owls have been used in place of a live bird, the success of these types of lures varies widely. We created a more realistic mechanical owl with a greater range of motion than previous models, and then tested the owl on six raptor species in a variety of habitats. For all but one species, capture rates using our mechanical owl were similar to or slightly higher than those reported in studies using live lure owls or previously designed mechanical owls. Time to capture of Northern Goshawks (</span><i>Accipiter gentilis</i><span>) was, on average, 8 min faster when using our mechanical owl compared to a live owl. Cost analysis revealed that both the initial expense and long-term maintenance of a mechanical owl were less than that of a live lure owl. Mechanical owls can be a useful tool for capturing raptors. Although there are some drawbacks to using a mechanical owl, our results suggest that mechanical birds are comparable to live lure owls and we believe the benefits of using a mechanical owl often outweigh the costs.</span></p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-18-30","usgsCitation":"Jensen, M.K., Hamburg, S.D., Rota, C.T., Brinker, D.F., Coles, D.L., Manske, M.A., Slabe, V.A., Stuber, M.J., Welsh, A.B., and Katzner, T., 2019, An improved mechanical owl for efficient capture of nesting raptors: Journal of Raptor Research, v. 53, no. 1, p. 14-25, https://doi.org/10.3356/JRR-18-30.","productDescription":"12 p.","startPage":"14","endPage":"25","ipdsId":"IP-096341","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467858,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-18-30","text":"Publisher Index Page"},{"id":361634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jensen, Meghan K.","contributorId":213759,"corporation":false,"usgs":false,"family":"Jensen","given":"Meghan","email":"","middleInitial":"K.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamburg, Shanti D.","contributorId":213760,"corporation":false,"usgs":false,"family":"Hamburg","given":"Shanti","email":"","middleInitial":"D.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rota, Christopher T.","contributorId":213761,"corporation":false,"usgs":false,"family":"Rota","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinker, David F.","contributorId":207103,"corporation":false,"usgs":false,"family":"Brinker","given":"David","email":"","middleInitial":"F.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":758429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coles, Dustin L.","contributorId":213762,"corporation":false,"usgs":false,"family":"Coles","given":"Dustin","email":"","middleInitial":"L.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758430,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manske, Mark A.","contributorId":213763,"corporation":false,"usgs":false,"family":"Manske","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":38850,"text":"Paul Smiths College","active":true,"usgs":false}],"preferred":false,"id":758431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Slabe, Vincent A.","contributorId":213764,"corporation":false,"usgs":false,"family":"Slabe","given":"Vincent","email":"","middleInitial":"A.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758432,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stuber, Matthew J.","contributorId":213765,"corporation":false,"usgs":false,"family":"Stuber","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":758433,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welsh, Amy B.","contributorId":192239,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":758434,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":758425,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70204631,"text":"70204631 - 2019 - Principles of translational science education","interactions":[],"lastModifiedDate":"2019-08-07T09:58:03","indexId":"70204631","displayToPublicDate":"2019-03-01T09:56:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Principles of translational science education","docAbstract":"In a recent special issue in Frontiers in Ecology and the Environment,\nEnquist et al. (2017) present a welcome streamlining of modern applied\necology emphasizing a collaborative approach to applied ecological\nresearch involving resource-managers and scientists to produce actionable\nscience: translational ecology (TE). The authors, including ecologists, social\nscientists, and conservation professionals, identified six principles defining\nthe practice of translational ecology: collaboration, engagement,\ncommitment, communication, process, and framing (Figure 1). In thinking\nabout how science education can be enhanced by directly involving\nresearchers in science education, we recognized remarkable overlap\nbetween the principles of translational ecology (Enquist et al. 2017) and a\nframework for developing mutually beneficial integrative partnerships\nbetween scientists and educators. Here, we describe scientist-educator\nanalogies of the six principles of translational ecology: translational science\neducation (TSE).","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2007","usgsCitation":"Sutherland, C., Padilla, B., and Campbell Grant, E.H., 2019, Principles of translational science education: Frontiers in Ecology and Evolution, v. 17, no. 2, p. 82-84, https://doi.org/10.1002/fee.2007.","productDescription":"3 p.","startPage":"82","endPage":"84","ipdsId":"IP-096063","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":366330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":767843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Padilla, B","contributorId":217935,"corporation":false,"usgs":false,"family":"Padilla","given":"B","email":"","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":767844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767842,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227748,"text":"70227748 - 2019 - Factors influencing anuran wetland occupancy in an agricultural landscape","interactions":[],"lastModifiedDate":"2022-01-28T15:45:44.931393","indexId":"70227748","displayToPublicDate":"2019-03-01T09:30:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing anuran wetland occupancy in an agricultural landscape","docAbstract":"<p>Habitat disturbance is an important cause of global amphibian declines, with especially strong effects in areas of high agricultural use. Determining the influence of site characteristics on amphibian presence and success is vital to developing effective conservation strategies. We used occupancy analysis to estimate presence of four anuran species at wetlands in northern Iowa as a function of eight environmental covariates hypothesized to affect occupancy: fish and salamander abundance, invertebrate density, aquatic vegetative cover, wetland area, atrazine concentration in water, surrounding agricultural land use, and an overall wetland health score (wetland condition index [WCI]). We surveyed 27 wetlands multiple times in 2015 and 2016. Leopard Frogs (<i>Lithobates pipiens</i>) and American Toads (<i>Anaxyrus americanus</i>) were observed at 100% of the sites, Boreal Chorus Frogs (<i>Pseudacris maculata</i>) at 96%, and Gray Treefrogs (<i>Hyla</i><span>&nbsp;</span>spp.) at 81%. Wetland site occupancy for all species in our study ranged from 0.23 (<i>Hyla</i><span>&nbsp;</span>spp. tadpoles) to 0.95 (<i>L. pipiens</i><span>&nbsp;</span>adults), indicating that agricultural wetlands can provide refuge or habitat for amphibians. Fish abundance, percentage of cropland cover within 500 m of the wetland, and salamander abundance were among the variables best supported by our models although their estimated effects were weak. Wetland area, atrazine concentration, vegetative cover, and WCI also influenced occupancy probability, but for only a small number of species and life stages. The direction of predicted effects varied by species and life stage. Despite only weak evidence that the environmental factors we measured influenced anuran occupancy, our results provide insights for managers seeking to understand how amphibians use landscapes modified by agriculture.</p>","language":"English","publisher":"Allen Press","doi":"10.1655/HERPETOLOGICA-D-18-00013.1","usgsCitation":"Swanson, J.E., Pierce, C., Dinsmore, S., Smalling, K., Vandever, M.W., Stewart, T.W., and Muths, E., 2019, Factors influencing anuran wetland occupancy in an agricultural landscape: Herpetologica, v. 75, no. 1, p. 47-56, https://doi.org/10.1655/HERPETOLOGICA-D-18-00013.1.","productDescription":"10 p.","startPage":"47","endPage":"56","ipdsId":"IP-090725","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":470,"text":"New Jersey Water Science 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]\n}","volume":"75","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Swanson, Jennifer E.","contributorId":140894,"corporation":false,"usgs":false,"family":"Swanson","given":"Jennifer","email":"","middleInitial":"E.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":832143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinsmore, Stephen J.","contributorId":61718,"corporation":false,"usgs":true,"family":"Dinsmore","given":"Stephen J.","affiliations":[],"preferred":false,"id":832144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vandever, Mark W. 0000-0003-0247-2629 vandeverm@usgs.gov","orcid":"https://orcid.org/0000-0003-0247-2629","contributorId":197674,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":832026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Timothy W.","contributorId":171433,"corporation":false,"usgs":false,"family":"Stewart","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":832145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":245922,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":832027,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70206132,"text":"70206132 - 2019 - Role of recovering river herring population on smallmouth bass diet and growth","interactions":[],"lastModifiedDate":"2019-10-30T06:31:02","indexId":"70206132","displayToPublicDate":"2019-03-01T09:06:53","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Role of recovering river herring population on smallmouth bass diet and growth","docAbstract":"Fish assemblages in Atlantic coastal rivers have undergone extensive ecological change in the last two and a half centuries due to human influence, including extirpation of many migratory fish species, such as river herring (Alosa spp.) and introduction of nonnative piscivores, notably Smallmouth Bass Micropterus dolomieu. Recently, dam removals and fish passage improvements in the Penobscot River, Maine, have allowed river herring to return to reaches of the river that have been inaccessible since the late 19th century. Alosine populations have increased and this trend is anticipated to continue. This may increase forage in the system which could potentially increase growth for Smallmouth Bass, the dominant piscivore. We examined the diet and growth of Smallmouth Bass collected from areas of the Penobscot River watershed with and without access to river herring as prey. We collected 765 Smallmouth Bass throughout 2015, examined the stomach contents of 573 individuals, and found notable differences in diet among three river reaches with common seasonal trends. Juvenile river herring composed an average of 19% (SE = ±6%) of stomach contents by mass from Smallmouth Bass collected in the freshwater tidal area but were rarely observed in the diets upstream. We used estimates from von Bertalanffy growth models to examine differences in growth among reaches and found that asymptotic length was the longest (425 mm TL) in the Tidal reach where access to river herring was unrestricted. We then used these data to predict changes to growth associated with increased access to juvenile river herring prey with bioenergetics models. Results indicated that substituting juvenile river herring for less energy-dense prey (e.g.,invertebrates) may lead to increases in seasonal growth throughout the watershed as river herring populations continue to rebound in response to dam removal. Our results provide insight into the diet and growth of Smallmouth Bass in a large New England river, and provide a foundation for future work investigating unfolding changes to these characteristics following recent dam removals.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Managing centrarchid fisheries in rivers and streams","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","isbn":"9781934874523","usgsCitation":"Watson, J.M., Coghlan, S.M., Zydlewski, J.D., Hayes, D.B., and Stich, D.S., 2019, Role of recovering river herring population on smallmouth bass diet and growth, chap. <i>of</i> Managing centrarchid fisheries in rivers and streams, 18 p.","productDescription":"18 p.","ipdsId":"IP-086810","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":368699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368671,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/54087p/"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.8348388671875,\n              44.70770622183535\n            ],\n            [\n              -68.34869384765625,\n              44.70770622183535\n            ],\n            [\n              -68.34869384765625,\n              45.94160076422081\n            ],\n            [\n              -68.8348388671875,\n              45.94160076422081\n            ],\n            [\n              -68.8348388671875,\n              44.70770622183535\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Jonathan M.","contributorId":207174,"corporation":false,"usgs":false,"family":"Watson","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":773683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Daniel B.","contributorId":16799,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":773994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":773995,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202393,"text":"70202393 - 2019 - Adapting a regional water-quality model for local application: A case study for Tennessee, USA","interactions":[],"lastModifiedDate":"2019-02-27T12:59:07","indexId":"70202393","displayToPublicDate":"2019-02-27T12:59:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Adapting a regional water-quality model for local application: A case study for Tennessee, USA","docAbstract":"<p><span>We evaluated whether SPAtially Referenced Regression On Watershed attributes (SPARROW) models calibrated for two adjacent USA regions could be applied at the local scale to support&nbsp;management decisions&nbsp;for streams in Tennessee. Nutrient-source apportionment of load is important for this local-scale application and demands&nbsp;</span>careful consideration<span>&nbsp;of uncertainty in the calibrated coefficients. We used Gauss-Newton regression to test the published SPARROW models for constancy of coefficient estimates between calibration sites on streams within (n = 59) versus outside (n = 327) Tennessee and concluded&nbsp;source apportionment&nbsp;was unbiased for Tennessee streams. The SPARROW models were then applied without re-calibration to predict stream loads and source apportionment for Tennessee streams and to build tools for displaying model results and evaluating source-change scenarios. This approach may inform the adaptation of other regional-scale regression models for use to address&nbsp;water-resource management&nbsp;issues in smaller-scale watersheds.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2019.01.001","usgsCitation":"Hoos, A.B., Wang, S.H., and Schwarz, G., 2019, Adapting a regional water-quality model for local application: A case study for Tennessee, USA: Environmental Modelling and Software, v. 115, p. 187-199, https://doi.org/10.1016/j.envsoft.2019.01.001.","productDescription":"13 p.","startPage":"187","endPage":"199","ipdsId":"IP-083893","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":460459,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2019.01.001","text":"Publisher Index Page"},{"id":361588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","volume":"115","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hoos, Anne B. 0000-0001-9845-7831","orcid":"https://orcid.org/0000-0001-9845-7831","contributorId":207575,"corporation":false,"usgs":true,"family":"Hoos","given":"Anne","email":"","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Sherry H.","contributorId":213620,"corporation":false,"usgs":false,"family":"Wang","given":"Sherry","email":"","middleInitial":"H.","affiliations":[{"id":38823,"text":"TDEC","active":true,"usgs":false}],"preferred":false,"id":758166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":false,"id":758167,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202392,"text":"70202392 - 2019 - Geochemically distinct oil families in the onshore and offshore Santa Maria basins, California","interactions":[],"lastModifiedDate":"2019-02-27T12:56:23","indexId":"70202392","displayToPublicDate":"2019-02-27T12:56:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Geochemically distinct oil families in the onshore and offshore Santa Maria basins, California","docAbstract":"<p><span>The purpose of this work is to identify genetic affinities among 48 crude oil samples from the onshore and offshore Santa Maria basins. A total of 21 source-related biomarker and stable carbon isotope ratios among the samples were assessed to assure that they were unaffected by secondary processes. Chemometric analysis of these data identifies six oil families with map and stratigraphic distributions that reflect organofacies variations within the Miocene Monterey Formation source rock. The data comprise a training set that was used to create a chemometric decision tree to classify newly collected oil samples. Three onshore families originated from two synclines, which may contain one or more pods of thermally mature source rock. Multiple biomarker parameters indicate that the six oil families achieved early oil window maturity in the range of 0.6%–0.7% equivalent vitrinite reflectance. The offshore oil samples consist of one family from Point Pedernales field and two families from the “B” prospect. Geochemical characteristics of these families indicate origins under differing water column and sediment oxicity and carbonate versus siliceous and detrital input in ‘carbonate,’ ‘marl,’ and ‘shale’ organofacies like those in the lower calcareous–siliceous, carbonaceous marl, and clayey–siliceous members of the Monterey Formation elsewhere in coastal California. The corresponding lithofacies and organofacies appear to be linked to the early–middle Miocene climate optimum and subsequent paleoclimatic cooling after circa 14 Ma, a systematic up-section increase in the stable carbon isotope composition of related oil samples, decreased preservation of calcium carbonate shells from planktic foraminifera and coccoliths, and increased preservation of clay-sized siliceous shells of diatoms and radiolarians. The results show that organofacies within the Monterey source rock are responsible for many of the geochemical differences between the oil families. This paleoclimate–organofacies model for crude oil from the Monterey Formation can be used to enhance future exploration efforts in many areas of coastal California.</span></p>","language":"English","publisher":"American Association of Petroleum Geology","doi":"10.1306/07111818014","usgsCitation":"Peters, K.E., Lillis, P.G., Lorenson, T., and Zumberge, J.E., 2019, Geochemically distinct oil families in the onshore and offshore Santa Maria basins, California: AAPG Bulletin, v. 103, no. 2, p. 243-271, https://doi.org/10.1306/07111818014.","productDescription":"28 p.","startPage":"243","endPage":"271","ipdsId":"IP-093274","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Maria basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121,\n              34.5\n            ],\n            [\n              -120,\n              34.5\n            ],\n            [\n              -120,\n              35.1667\n            ],\n            [\n              -121,\n              35.1667\n            ],\n            [\n              -121,\n              34.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peters, Kenneth E.","contributorId":213618,"corporation":false,"usgs":false,"family":"Peters","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[{"id":27162,"text":"Schlumberger","active":true,"usgs":false}],"preferred":false,"id":758162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":758163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":758161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zumberge, J. E.","contributorId":213619,"corporation":false,"usgs":false,"family":"Zumberge","given":"J.","email":"","middleInitial":"E.","affiliations":[{"id":38822,"text":"GeoMark Research LLC","active":true,"usgs":false}],"preferred":false,"id":758164,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209686,"text":"70209686 - 2019 - Lithospheric signature of late Cenozoic extension in electrical resistivity structure of the Rio Grande rift, New Mexico, USA","interactions":[],"lastModifiedDate":"2020-04-21T16:13:12.68067","indexId":"70209686","displayToPublicDate":"2019-02-27T11:08:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Lithospheric signature of late Cenozoic extension in electrical resistivity structure of the Rio Grande rift, New Mexico, USA","docAbstract":"We present electrical resistivity models of the crust and upper mantle from two‐dimensional (2‐D) inversion of magnetotelluric (MT) data collected in the Rio Grande rift, New Mexico, USA. Previous geophysical studies of the lithosphere beneath the rift identified a low‐velocity zone several hundred kilometers wide, suggesting that the upper mantle is characterized by a very broad zone of modified lithosphere. In contrast, the surface expression of the rift (e.g., high‐angle normal faults and synrift sedimentary units) is confined to a narrow region a few tens of kilometers wide about the rift axis. MT data are uniquely suited to probing the depths of the lithosphere that fill the gap between surface geology and body wave seismic tomography, namely the middle to lower crust and uppermost mantle. We model the electrical resistivity structure of the lithosphere along two east‐west trending profiles straddling the rift axis at the latitudes of 36.2 and 32.0°N. We present results from both isotropic and anisotropic 2‐D inversions of MT data along these profiles, with a strong preference for the latter in our interpretation. A key feature of the anisotropic resistivity modeling is a broad (~200‐km wide) zone of enhanced conductivity (<20 Ωm) in the middle to lower crust imaged beneath both profiles. We attribute this lower crustal conductor to the accumulation of free saline fluids and partial melt, a direct result of magmatic activity along the rift. High‐conductivity anomalies in the midcrust and upper mantle are interpreted as fault zone alteration and partial melt, respectively.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016242","collaboration":"","usgsCitation":"Feucht, D., Bedrosian, P.A., and Sheehan, A.F., 2019, Lithospheric signature of late Cenozoic extension in electrical resistivity structure of the Rio Grande rift, New Mexico, USA: Journal of Geophysical Research B: Solid Earth, v. 124, no. 3, p. 2331-2351, https://doi.org/10.1029/2018JB016242.","productDescription":"21 p.","startPage":"2331","endPage":"2351","ipdsId":"IP-102825","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":467866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb016242","text":"Publisher Index Page"},{"id":374160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Grande rift","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.02978515625,\n              37.00255267215955\n            ],\n            [\n              -109.0283203125,\n              36.98500309285596\n            ],\n            [\n              -109.05029296875,\n              31.372399104880525\n            ],\n            [\n              -108.19335937499999,\n              31.353636941500987\n            ],\n            [\n              -108.1494140625,\n              31.840232667909365\n            ],\n            [\n              -103.0078125,\n              32.045332838858506\n            ],\n            [\n              -103.02978515625,\n              37.00255267215955\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Feucht, D. W. 0000-0002-3672-4719","orcid":"https://orcid.org/0000-0002-3672-4719","contributorId":224277,"corporation":false,"usgs":false,"family":"Feucht","given":"D. W.","affiliations":[],"preferred":false,"id":787518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":787519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheehan, Anne F 0000-0002-9629-1687","orcid":"https://orcid.org/0000-0002-9629-1687","contributorId":224234,"corporation":false,"usgs":false,"family":"Sheehan","given":"Anne","email":"","middleInitial":"F","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":787520,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227711,"text":"70227711 - 2019 - Satellite-detected forest disturbance forecasts American marten population decline: The case for supportive space-based monitoring","interactions":[],"lastModifiedDate":"2022-01-27T15:55:13.344451","indexId":"70227711","displayToPublicDate":"2019-02-27T09:48:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Satellite-detected forest disturbance forecasts American marten population decline: The case for supportive space-based monitoring","docAbstract":"<p><span>Limited monitoring resources often constrain rigorous monitoring practices to species or populations of conservation concern. Insufficient monitoring can induce a tautology as lack of monitoring resources makes it difficult to determine whether a species or population deserves additional monitoring resources. When in-situ monitoring resources are limited, remote habitat monitoring could be a useful supplementary tool, as linking parameterized&nbsp;species distribution models&nbsp;to spatially explicit time-series of environmental correlates allows iterative prediction of population change. Yet the performance of predictive forecasts or hindcasts has been difficult to evaluate. We paired contemporary field data, historic population estimates, and a remotely-sensed archive of landscape change to evaluate predictions of American marten (</span><span><i><a class=\"topic-link\" title=\"Learn more about Martes americana from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/martes-americana\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/martes-americana\">Martes americana</a></i></span><span>) population decline owing to habitat loss in Maine, USA. We estimated contemporary spatial patterns in marten density relative to landscape disturbance with spatial capture-recapture models. We compared current density estimates to historical density calculations to evaluate population decline, and compared historical calculations to habitat-based model predictions to evaluate the efficacy of habitat monitoring as a proxy for direct monitoring. Marten density was negatively associated with the proportion of surrounding regenerating forest, and point estimates within focal townships were 50–80% lower than historical calculations. Habitat-based hindcasts of marten density across our entire focal area interest suggested a smaller population decline (roughly 50%) within our focal area. Thus, although habitat-based predictions underpredicted marten decline, they provided correct directional inference. Habitat monitoring and predictions from species distribution models may provide useful inference about population changes given trends in habitat at limited expense when in-situ information is lacking.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.02.020","usgsCitation":"Clare, J., McKinney, S.T., Simons-Legaard, E.M., DePue, J.E., and Loftin, C., 2019, Satellite-detected forest disturbance forecasts American marten population decline: The case for supportive space-based monitoring: Biological Conservation, v. 233, p. 336-345, https://doi.org/10.1016/j.biocon.2019.02.020.","productDescription":"10 p.","startPage":"336","endPage":"345","ipdsId":"IP-078363","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":394973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.91125488281249,\n              45.286481972782816\n            ],\n            [\n              -69.136962890625,\n              44.999767019181284\n            ],\n            [\n              -68.4503173828125,\n              46.39619977845332\n            ],\n            [\n              -69.99938964843749,\n              46.717268685073954\n            ],\n            [\n              -70.91125488281249,\n              45.286481972782816\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"233","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clare, John","contributorId":200304,"corporation":false,"usgs":false,"family":"Clare","given":"John","affiliations":[],"preferred":false,"id":831975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Shawn T. smckinney@usgs.gov","contributorId":5175,"corporation":false,"usgs":true,"family":"McKinney","given":"Shawn","email":"smckinney@usgs.gov","middleInitial":"T.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simons-Legaard, Erin M.","contributorId":272366,"corporation":false,"usgs":false,"family":"Simons-Legaard","given":"Erin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":831977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DePue, John E.","contributorId":200305,"corporation":false,"usgs":false,"family":"DePue","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":831978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831862,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}