{"pageNumber":"681","pageRowStart":"17000","pageSize":"25","recordCount":184900,"records":[{"id":70209712,"text":"70209712 - 2020 - Assessment experimental semivariogram uncertainty in the presence of a polynomial drift","interactions":[],"lastModifiedDate":"2020-04-27T12:23:13.834768","indexId":"70209712","displayToPublicDate":"2019-05-14T09:54:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Assessment experimental semivariogram uncertainty in the presence of a polynomial drift","docAbstract":"The semivariogram, which measures the spatial variability between experimental data, is generally used as a structural input in all two-point geostatistical procedures. However, in most geoscience applications, experimental semivariograms are usually computed from a limited number of sparsely spaced measurements, which results in uncertainty associated with the semivariance values estimated for a specified number of lags. More importantly, considering a spatial variable modelled by a nonstationary random field, uncertainty is not only in the experimental semivariogram of the residuals, but also in the coefficients of the drift model estimated from the available experimental data. Therefore, when assessing the reliability of an experimental semivariogram (or estimated semivariances) in the nonstationary case, both aforementioned uncertainties should be taken into account. The aim of this paper is to extend the “Generalised Bootstrap” procedure to the nonstationary model by propagating the uncertainty associated with the estimated drift coefficients into the uncertainty in the experimental semivariogram of the residuals. The proposed methodology is demonstrated in a case study using abundant geophysical measurements characterised by a nonstationary random function. Two scenarios are evaluated in the case study: (1) it is assumed that the drift coefficients can be estimated without any uncertainty, and (2) uncertainty of the drift coefficients is taken into account. We have explained the methodology that allows to assess the uncertainty of the semivariogram lag estimates in the presence of the drift in the mean. Considering the second scenario, uncertainty is obviously larger than the case where uncertainty of the drift in the mean is ignored. This evaluation should be considered in applications where the data is often rather limited, such as subsurface hydrology (i.e. porosity, transmissivity), soil science (i.e. heavy metal content, soil moisture) and mining (i.e. scoping or pre-feasibility stage of the project). In fact, modern geostatistics should provide not only the semivariogram estimates but also estimation of its uncertainty.","language":"English","publisher":"Springer","doi":"10.1007/s11053-019-09496-3","collaboration":"","usgsCitation":"Oktay, E., Pardo-Iguzquiza, E., and Olea, R.A., 2020, Assessment experimental semivariogram uncertainty in the presence of a polynomial drift: Natural Resources Research, v. 29, no. 2, p. 1087-1099, https://doi.org/10.1007/s11053-019-09496-3.","productDescription":"13 p.","startPage":"1087","endPage":"1099","ipdsId":"IP-087621","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":374190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Oktay, Erten","contributorId":224283,"corporation":false,"usgs":false,"family":"Oktay","given":"Erten","email":"","affiliations":[{"id":40846,"text":"Curtin U. Australia","active":true,"usgs":false}],"preferred":false,"id":787635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pardo-Iguzquiza, Eulogio","contributorId":208073,"corporation":false,"usgs":false,"family":"Pardo-Iguzquiza","given":"Eulogio","email":"","affiliations":[{"id":40847,"text":"Instituto Geologico y Minero de Espana","active":true,"usgs":false}],"preferred":false,"id":787636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olea, Ricardo A. 0000-0003-4308-0808 rolea@usgs.gov","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":208109,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo","email":"rolea@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":787637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227891,"text":"70227891 - 2020 - Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring","interactions":[],"lastModifiedDate":"2022-02-01T16:36:33.563216","indexId":"70227891","displayToPublicDate":"2019-05-06T10:26:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5084,"text":"Bioacoustics: The International Journal of Animal Sound and its Recording","active":true,"publicationSubtype":{"id":10}},"title":"Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring","docAbstract":"Audio sampling of the environment can provide long-term, landscape-scale presence-absence data to model populations of sound-producing wildlife. Automated detection systems allow researchers to avoid manually searching through large volumes of recordings, but often produce unacceptable false positive rates. We developed methods that allow researchers to improve template-based automated detection using a suite of statistical learning algorithms when false positive rates are problematic. To test our method, we acquired 668 hours of recordings in the Sonoran Desert, California USA between March 2016 and May 2017, and created spectrogram cross-correlation templates for three target avian species. We trained and tested five classification algorithms and four performance-weighted ensemble classifier methods on target signals and false alarms from March 2016, and then selected high-performing ensemble classifiers from the train/test phase to predict the class of new detections thereafter. For three target species, our ensemble classifiers were able to identify 98%, 81%, and 100% of false alarms compared with the baseline template detection system, and comparative positive predictive values improved from 6% to 69%, 87% to 95%, and 2% to 77%. We show that statistical learning approaches can be implemented to mitigate false detections acquired via template-based automated detection in automated acoustic wildlife monitoring.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/09524622.2019.1605309","usgsCitation":"Balantic, C.M., and Donovan, T.M., 2020, Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring: Bioacoustics: The International Journal of Animal Sound and its Recording, v. 29, no. 3, p. 296-321, https://doi.org/10.1080/09524622.2019.1605309.","productDescription":"27 p.","startPage":"296","endPage":"321","ipdsId":"IP-093445","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":458772,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/09524622.2019.1605309","text":"Publisher Index Page"},{"id":395210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sonoran Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.88928222656249,\n              32.62087018318113\n            ],\n            [\n              -114.62585449218749,\n              32.699488680852674\n            ],\n            [\n              -114.46105957031249,\n              32.8334428466495\n            ],\n            [\n              -114.46105957031249,\n              32.93953889877841\n            ],\n            [\n              -114.49951171875,\n              33.054716488042736\n            ],\n            [\n              -114.6478271484375,\n              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M.","contributorId":273038,"corporation":false,"usgs":false,"family":"Balantic","given":"Cathleen","email":"","middleInitial":"M.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":832481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832480,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204069,"text":"70204069 - 2020 - Sedimentary evidence of prehistoric distant-source tsunamis in the Hawaiian Islands","interactions":[],"lastModifiedDate":"2020-05-04T17:28:04.368546","indexId":"70204069","displayToPublicDate":"2019-04-29T12:20:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3369,"text":"Sedimentology","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentary evidence of prehistoric distant-source tsunamis in the Hawaiian Islands","docAbstract":"Over the past 200 years of written records, the Hawaiian Islands have experienced tens of tsunamis generated by earthquakes in the subduction zones of the Pacific \"Ring of Fire\" (e.g., Alaska-Aleutian, Kuril-Kamchatka, Chile, and Japan).  Mapping and dating anomalous beds of sand and silt deposited by tsunamis in low-lying areas along Pacific coasts, even those distant from subduction zones, is critical for assessing tsunami hazard throughout the Pacific basin. We searched for evidence of tsunami inundation using stratigraphic and sedimentologic analyses of potential tsunami deposits beneath present and former Hawaiian wetlands, coastal lagoons, and river floodplains.  Coastal wetland sites on the islands of Hawai΄i, Maui, O΄ahu, and Kaua΄i were selected based on historical tsunami runup, numerical inundation modeling, proximity to sandy source sediments, degree of historical wetland disturbance, and breadth of prior geologic and archaeologic investigations.  We interpret sand beds containing marine calcareous sediment within peaty and/or muddy wetland deposits on the north and northeastern shores of Kaua΄i, O΄ahu, and Hawai΄i as tsunami deposits.  At some sites, deposits of the 1946 and 1957 Aleutian tsunamis are analogs for deeper, older probable tsunami deposits.  Radiocarbon-based age models date sand beds from three sites to ~700-500 cal yr B.P., which overlaps ages for tsunami deposits in the eastern Aleutian Islands that record a local subduction zone earthquake (Witter et al., 2016; Witter et al., 2018).  The overlapping modeled ages for tsunami deposits at our sites support a plausible correlation with an eastern Aleutian earthquake source for a large prehistoric tsunami in the Hawaiian Islands.","language":"English","publisher":"Wiley","doi":"10.1111/sed.12623","usgsCitation":"La Selle, S., Richmond, B.M., Jaffe, B.E., Nelson, A., Griswold, F., Arcos, M.E., Chague, C., Bishop, J., Bellanova, P., Kane, H.H., Lunghino, B., and Gelfenbaum, G.R., 2020, Sedimentary evidence of prehistoric distant-source tsunamis in the Hawaiian Islands: Sedimentology, v. 67, no. 3, p. 1249-1273, https://doi.org/10.1111/sed.12623.","productDescription":"25 p.","startPage":"1249","endPage":"1273","ipdsId":"IP-100398","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science 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Germany,","active":true,"usgs":false}],"preferred":false,"id":765384,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kane, Haunani H.","contributorId":172565,"corporation":false,"usgs":false,"family":"Kane","given":"Haunani","email":"","middleInitial":"H.","affiliations":[{"id":27062,"text":"Unkown","active":true,"usgs":false}],"preferred":false,"id":765383,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lunghino, Brent D.","contributorId":181566,"corporation":false,"usgs":false,"family":"Lunghino","given":"Brent D.","affiliations":[],"preferred":false,"id":765385,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":765386,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70215188,"text":"70215188 - 2020 - Pre-late Wisconsin valley-glacier erratics between Leavenworth and Peshastin, Wenatchee valley, Washington","interactions":[],"lastModifiedDate":"2020-10-09T14:42:02.703137","indexId":"70215188","displayToPublicDate":"2019-03-28T09:36:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Pre-late Wisconsin valley-glacier erratics between Leavenworth and Peshastin, Wenatchee valley, Washington","docAbstract":"<div id=\"divARTICLECONTENTTop\"><div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">The late Wisconsin Icicle Creek alpine glacier transported tonalite boulders from the Mount Stuart batholith to arcuate end moraines in Icicle valley and Wenatchee valley near Leavenworth. Some previous workers considered sparsely weathered Mount Stuart boulders lying outside these moraines and draped by silt as having been ice rafted in a late Wisconsin lake. But the boulders are more likely within drift or end moraines of pre-late Wisconsin glaciations correlative to lateral moraines on Boundary Butte. The silt—a younger deposit that covers the boulders—derives not from a physically ponded lake but apparently from brief Missoula flood(s) backflooding up the valley.</p></div></div></div>","language":"English","publisher":"BioOne","doi":"10.3955/046.092.0502","usgsCitation":"Stanton, K.M., Waitt, R.B., and Long, W., 2020, Pre-late Wisconsin valley-glacier erratics between Leavenworth and Peshastin, Wenatchee valley, Washington: Northwest Science, v. 92, no. 5, p. 311-317, https://doi.org/10.3955/046.092.0502.","productDescription":"7 p.","startPage":"311","endPage":"317","ipdsId":"IP-093010","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":379277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.88256835937499,\n              47.05141149430736\n            ],\n            [\n              -119.53674316406249,\n              47.05141149430736\n            ],\n            [\n              -119.53674316406249,\n              47.79470655664555\n            ],\n            [\n              -120.88256835937499,\n              47.79470655664555\n            ],\n            [\n              -120.88256835937499,\n              47.05141149430736\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stanton, Kelsay M.","contributorId":242919,"corporation":false,"usgs":false,"family":"Stanton","given":"Kelsay","email":"","middleInitial":"M.","affiliations":[{"id":48581,"text":"Wenatchee Valley College","active":true,"usgs":false}],"preferred":false,"id":801103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, William","contributorId":242920,"corporation":false,"usgs":false,"family":"Long","given":"William","affiliations":[{"id":48582,"text":"(deceased)","active":true,"usgs":false}],"preferred":false,"id":801105,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216030,"text":"70216030 - 2020 - How lipid content and temperature affect American shad (Alosa sapidissima) attempt rate and sprint swimming: Implications for overcoming migration barriers","interactions":[],"lastModifiedDate":"2020-11-04T12:48:02.838651","indexId":"70216030","displayToPublicDate":"2019-03-26T08:20:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"How lipid content and temperature affect American shad (Alosa sapidissima) attempt rate and sprint swimming: Implications for overcoming migration barriers","docAbstract":"<p><span>How seasonal effects such as temperature increases and reduced lipid content affect the ability of anadromous fishes to traverse high-velocity barriers and sprint swimming is poorly understood. We evaluated American shad (</span><i>Alosa sapidissima</i><span>) swimming performance in a flume against high flow velocities (2.5–3.7 m·s</span><sup>−1</sup><span>) during the upstream migration period (April–May; temperatures 11.1–21.4 °C) to determine how their willingness to enter a velocity barrier (attempt rate) and their swimming endurance changed during migration. American shad did not make attempts at low temperatures, and attempt rate gradually increased throughout the migration as temperatures warmed. American shad displayed two distinct, nonsustained swimming modes (prolonged and sprint swimming), and endurance was different between sexes. At warmer temperatures, females swam at prolonged speeds more often and longer females displayed a lower endurance. Males primarily swam at sprint speeds and were affected by swimming speed, fork length, and lipid content. Our results indicate that American shad motivation and swimming endurance change over the course of the migration as conditions change, potentially limiting their ability to pass barriers.</span></p>","language":"English","doi":"10.1139/cjfas-2018-0406","usgsCitation":"Bayse, S.M., McCormick, S.D., and Castro-Santos, T.R., 2020, How lipid content and temperature affect American shad (Alosa sapidissima) attempt rate and sprint swimming: Implications for overcoming migration barriers: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 12, p. 2235-2244, https://doi.org/10.1139/cjfas-2018-0406.","productDescription":"10 p.","startPage":"2235","endPage":"2244","ipdsId":"IP-099307","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":458779,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2018-0406","text":"Publisher Index Page"},{"id":380077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bayse, Shannon Michael 0000-0002-0343-4053","orcid":"https://orcid.org/0000-0002-0343-4053","contributorId":228910,"corporation":false,"usgs":true,"family":"Bayse","given":"Shannon","email":"","middleInitial":"Michael","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":803820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":803821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":803822,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208105,"text":"70208105 - 2020 - Surficial geochemistry and bioaccessibility of tellurium in semi-arid mine tailings","interactions":[],"lastModifiedDate":"2020-01-27T19:37:02","indexId":"70208105","displayToPublicDate":"2019-03-20T19:36:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1529,"text":"Environmental Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Surficial geochemistry and bioaccessibility of tellurium in semi-arid mine tailings","docAbstract":"Tellurium (Te) is a critical element due to its use in solar technology.  However, some forms are highly toxic. Few studies have examined Te behavior in the surficial environment, thus little is known about its potential human and environmental health impacts. This study characterizes two physicochemically distinct Te-enriched mine tailings piles (big and flat tailings) deposited by historic gold (Au) mining in the semi-arid Delamar mining district, Nevada. The big tailings are characterized by smaller particle size and higher concentrations of potentially toxic elements (up to 290 mg Te kg-1), which are enriched at the tailings surface. In contrast, the flat tailings have larger particle size and properties that are relatively invariant with depth. Based on the sulfate to sulfide ratio, the tailings were determined to be sulfate dominated suggesting a high degree of weathering, although the flat tailings did contain significant amounts of sulfides (~40%). Tellurium x-ray absorption spectroscopy of the big tailings indicates that tellurate, the less toxic Te species, is the principal form of Te. Electron microscopy indicates that most of the Te present at the site is associated with iron (oxy)hydroxides, sometimes with other potentially toxic elements, especially lead and antimony. Physiologically-based extraction tests indicate that substantially more Te is solubilized in synthetic stomach fluids than in lung fluids, with gastric bioaccessibility ranging from 13-31% of total Te.  This points to low to medium bioaccessibility, which is common for iron (oxy)hydroxide associated elements. Together, these results represent a preliminary assessment of Te surficial behavior in a semi-arid environment and indicate that Te in these tailings represent a moderate health concern.","language":"English","publisher":"CSIRO","doi":"10.1071/EN18215","usgsCitation":"Hayes, S.M., and Ramos, N.A., 2020, Surficial geochemistry and bioaccessibility of tellurium in semi-arid mine tailings: Environmental Chemistry, v. 16, no. 4, p. 251-265, https://doi.org/10.1071/EN18215.","productDescription":"15 p.","startPage":"251","endPage":"265","ipdsId":"IP-102454","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":458781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/en18215","text":"Publisher Index Page"},{"id":371620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, Sarah M. 0000-0001-5887-6492","orcid":"https://orcid.org/0000-0001-5887-6492","contributorId":208569,"corporation":false,"usgs":true,"family":"Hayes","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramos, Nicole A","contributorId":221839,"corporation":false,"usgs":false,"family":"Ramos","given":"Nicole","email":"","middleInitial":"A","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":780478,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70270778,"text":"70270778 - 2020 - Using environmental DNA (eDNA) to assess the presence of cavefish and cave crayfish populations in caves of the Ozark Highlands","interactions":[],"lastModifiedDate":"2025-08-27T14:58:10.15187","indexId":"70270778","displayToPublicDate":"2019-03-03T09:54:08","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-135-2020","title":"Using environmental DNA (eDNA) to assess the presence of cavefish and cave crayfish populations in caves of the Ozark Highlands","docAbstract":"<p>Many cavefishes and cave crayfishes are considered of conservation concern; however, sampling these species is inherently difficult given their occupied environments. The goal of our project was to verify the presence of select karst organisms while developing the foundation for sampling approaches that might be useful to conservation and management agencies. Our project objectives were to develop assays to amplify deoxyribonucleic acid (DNA) from several species of Ozark cavefishes and cave crayfishes and complete an initial surveillance of locations across the Ozark Highlands using environmental DNA (eDNA). Using DNA either provided by agency cooperators or that we extracted from tissue samples, we PCR amplified and then sequenced the Cytochrome Oxidase 1 (CO1) gene for cave crayfishes and the NADH Dehydrogenase Subunit 2 (ND2) gene for cavefishes. We developed species-specific primers and probes for five cave crayfishes and two cavefishes. From February 2017 to May 2017, we sampled 1–5 sampling units from 42 caves, wells, and springs (i.e., sites) using eDNA and traditional visual surveys. We measured physicochemical parameters at each sampling unit to estimate detection probability associated with both techniques. We also calculated two occupancy covariates for each site using geospatial data. We successfully amplified Troglichthys rosae DNA from the environment and detected DNA representing this species at 24 of 40 sites. At 16 of the sites where we detected T. rosae DNA, we did not visually observe the species. Although our assay for Typlichthys eigenmanni successfully amplified the target DNA from the environment, it also resulted in false absences where the species was visually confirmed. Using eDNA to detect cave crayfishes was much more difficult. The assay for Cambarus subterraneus did not work for eDNA samples and we were unable to pick up DNA from the environment, even at locations where it was visually confirmed. Alternatively, the eDNA surveys worked well for C. tartarus and we were able to amplify DNA at every site where it was visually observed. Our assay for C. aculabrum was based on a single sample obtained from GenBank, and did not amplify eDNA from field samples. Lastly, our eDNA results from samples in the known range of Orconectes stygocaneyi suggested the species may be found at an additional cave. Detection using eDNA based on our O. stygocaneyi assay was likely low because it was designed from a pseudogene; however, positive eDNA samples were sequenced to confirm species-specific DNA. Detection probability of both cavefishes and cave crayfishes varied by survey technique and was influenced by water volume, water clarity, water velocity, and substrate. Detection of cavefishes and cave crayfishes via visual surveys decreased when water volume increased, whereas detection using eDNA increased with greater water volume. Detection between taxa using either sample method was highest in habitats classified by fine substrates, except for eDNA detection of crayfishes which was greatest in coarse substrates. Detection of cavefishes increased with water clarity, but detection of cave crayfishes increased with turbidity. Detection probability of both cavefishes and crayfishes using eDNA increased slightly with water velocity, but decreased with visual surveys as water velocity increased. Occupancy by both taxa was positively related to particular geologic series. Crayfish occupancy was negatively related to fine-scale anthropogenic disturbance (i.e., 500-m buffer around the site), whereas crayfish showed no relationship with disturbance. Our results suggest possible range extensions, provide insights to factors driving detection using both sample techniques, and suggest areas where recharge zones may be shared among caves. Future efforts focused on a comprehensive evaluation of genetic diversity among cave crayfishes to improve assay design could improve detection and the applicability of eDNA as a supplemental and non-invasive sampling approach.&nbsp;</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Brewer, S., Mouser, J., and Van Den Bussche, R., 2020, Using environmental DNA (eDNA) to assess the presence of cavefish and cave crayfish populations in caves of the Ozark Highlands: Cooperator Science Series CSS-135-2020, ii, 62 p.","productDescription":"ii, 62 p.","ipdsId":"IP-106157","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494683,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/using-environmental-dna-edna-assess-presence-cavefish-and-cave-crayfish-populations-caves"},{"id":494946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2019-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mouser, Joshua B.","contributorId":341406,"corporation":false,"usgs":false,"family":"Mouser","given":"Joshua B.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":947051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Den Bussche, Ronald A.","contributorId":305751,"corporation":false,"usgs":false,"family":"Van Den Bussche","given":"Ronald A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":947052,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202435,"text":"70202435 - 2020 - Weak effects of geolocators on small birds: a meta‐analysis controlled for phylogeny and publication bias","interactions":[],"lastModifiedDate":"2020-01-20T12:43:35","indexId":"70202435","displayToPublicDate":"2019-03-01T11:19:47","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Weak effects of geolocators on small birds: a meta‐analysis controlled for phylogeny and publication bias","docAbstract":"<p>Currently, the deployment of tracking devices is one of the most frequently used approaches to study movement ecology of birds. Recent miniaturisation of light‐level geolocators enabled studying small bird species whose migratory patterns were widely unknown. However, geolocators may reduce vital rates in tagged birds and may bias obtained movement data.</p><p>There is a need for a thorough assessment of the potential tag effects on small birds, as previous meta‐analyses did not evaluate unpublished data and impact of multiple life‐history traits, focused mainly on large species and the number of published studies tagging small birds has increased substantially.</p><p>We quantitatively reviewed 549 records extracted from 74 published and 48 unpublished studies on over 7,800 tagged and 17,800 control individuals to examine the effects of geolocator tagging on small bird species (body mass &lt;100 g). We calculated the effect of tagging on apparent survival, condition, phenology and breeding performance and identified the most important predictors of the magnitude of effect sizes.</p><p>Even though the effects were not statistically significant in phylogenetically controlled models, we found a weak negative impact of geolocators on apparent survival. The negative effect on apparent survival was stronger with increasing relative load of the device and with geolocators attached using elastic harnesses. Moreover, tagging effects were stronger in smaller species.</p><p>In conclusion, we found a weak effect on apparent survival of tagged birds and managed to pinpoint key aspects and drivers of tagging effects. We provide recommendations for establishing matched control group for proper effect size assessment in future studies and outline various aspects of tagging that need further investigation. Finally, our results encourage further use of geolocators on small bird species but the ethical aspects and scientific benefits should always be considered.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12962","usgsCitation":"Brlik, V., Kolecek, J., Burgess, M., Hahn, S., Humple, D., Krist, M., Ouwehand, J., Weiser, E.L., Adamik, P., Alves, J.A., Arlt, D., Barisic, S., Becker, D., Belda, E.J., Beran, V., Both, C., Bravo, S.P., Briedis, M., Bohumir, C., Cikovic, D., Cooper, N.W., Costa, J.S., Cueto, V.R., Emmenegger, T., Fraser, K., Gilg, O., Guerrero, M., Hallworth, M.T., Hewson, C., Jiguet, F., Johnson, J., Kelly, T., Kishkinev, D., Leconte, M., Lislevand, T., Lisovski, S., Lopez, C., McFarland, K.P., Marra, P.P., Matsuoka, S.M., Piotr, M., Meier, C.M., Metzger, B., Monros, J.S., Neumann, R., Newman, A., Norris, R., Part, T., Pavel, V., Perlut, N., Piha, M., Reneerkens, J., Rimmer, C.C., Roberto-Charro, A., Scandolara, C., Sokolova, N., Takenaka, M., Tolkmitt, D., van Oosten, H., Wellbrock, A.H., Wheeler, H., van der Winden, J., Witte, K., Woodworth, B., and Prochazka, P., 2020, Weak effects of geolocators on small birds: a meta‐analysis controlled for phylogeny and publication bias: Journal of Animal Ecology, v. 89, no. 1, p. 207-220, https://doi.org/10.1111/1365-2656.12962.","productDescription":"14 p.","startPage":"207","endPage":"220","ipdsId":"IP-101562","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":458784,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2656.12962","text":"External Repository"},{"id":361638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Brlik, Vojtech","contributorId":213771,"corporation":false,"usgs":false,"family":"Brlik","given":"Vojtech","email":"","affiliations":[{"id":38851,"text":"Ustav Biologie Obratlovcu Akademie ved Ceske Republiky","active":true,"usgs":false}],"preferred":false,"id":758440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolecek, Jaroslav","contributorId":213772,"corporation":false,"usgs":false,"family":"Kolecek","given":"Jaroslav","email":"","affiliations":[{"id":38852,"text":"Institute of Vertebrate Biology, Academy of Sciences of the Czech Republic","active":true,"usgs":false}],"preferred":false,"id":758441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burgess, Malcolm","contributorId":213773,"corporation":false,"usgs":false,"family":"Burgess","given":"Malcolm","email":"","affiliations":[{"id":38853,"text":"Royal Society for the Protection of Birds","active":true,"usgs":false}],"preferred":false,"id":758442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hahn, Steffen","contributorId":213774,"corporation":false,"usgs":false,"family":"Hahn","given":"Steffen","email":"","affiliations":[{"id":38854,"text":"Swiss Ornithological Institute, Bird Migration","active":true,"usgs":false}],"preferred":false,"id":758443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Humple, Diana","contributorId":213796,"corporation":false,"usgs":false,"family":"Humple","given":"Diana","email":"","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":758468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krist, Milos","contributorId":213775,"corporation":false,"usgs":false,"family":"Krist","given":"Milos","email":"","affiliations":[{"id":38855,"text":"Palacky University, Zoology","active":true,"usgs":false}],"preferred":false,"id":758444,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ouwehand, Janne","contributorId":213776,"corporation":false,"usgs":false,"family":"Ouwehand","given":"Janne","email":"","affiliations":[{"id":38856,"text":"Groningen Institute for Evolutionary Life Sciences, University of Groningen, Conservation Ecology Group","active":true,"usgs":false}],"preferred":false,"id":758445,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":213770,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":758439,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Adamik, Peter","contributorId":213777,"corporation":false,"usgs":false,"family":"Adamik","given":"Peter","email":"","affiliations":[{"id":38857,"text":"alalacky University, Zoology; 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,{"id":70202293,"text":"70202293 - 2020 - Organic geochemical investigation of far‐field tsunami deposits of the Kahana Valley, O'ahu, Hawai'i","interactions":[],"lastModifiedDate":"2020-04-03T17:56:54.563799","indexId":"70202293","displayToPublicDate":"2019-02-20T16:15:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3369,"text":"Sedimentology","active":true,"publicationSubtype":{"id":10}},"title":"Organic geochemical investigation of far‐field tsunami deposits of the Kahana Valley, O'ahu, Hawai'i","docAbstract":"<p><span>Far‐field tsunami deposits observed in the Kahana Valley, O'ahu, Hawai'i (USA), were investigated for their organic‐geochemical content. During short high‐energy events, (tsunamis and storms) organic and chemical components are transported with sediment from marine to terrestrial areas. This study investigates the use of anthropogenic based organic geochemical compounds (such as polycyclic aromatic hydrocarbons, pesticides and organochlorides) as a means to identify tsunami deposits. Samples were processed by solid‐liquid extraction and analyzed using gas chromatography–mass spectrometry. A total of 21 anthropogenic marker compounds were identified, of which 11 compounds were selected for detailed analysis. Although the tsunami deposits pre‐date industrial activity in Hawaii by several hundred years, distinct changes were found in the concentrations of anthropogenic marker compounds between sandy tsunami deposits and the surrounding mud/peat layers, which may help in identifying tsunami deposits within cores. As expected, low overall concentrations of anthropogenic markers and pollutants were observed due to the lack of industrial input‐sources and little anthropogenic environmental impact at the study site. This geochemical characterization of tsunami deposits shows that anthropogenic markers have significant potential as another high‐resolution, multi‐proxy method for identifying tsunamis in the sedimentary record.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/sed.12583","usgsCitation":"Bellanova, P., Frenken, M., Richmond, B.M., Schwarzbauer, J., La Selle, S., Griswold, F., Jaffe, B.E., Nelson, A.R., and Reicherter, K., 2020, Organic geochemical investigation of far‐field tsunami deposits of the Kahana Valley, O'ahu, Hawai'i: Sedimentology, v. 67, no. 3, p. 1230-1248, https://doi.org/10.1111/sed.12583.","productDescription":"19 p.","startPage":"1230","endPage":"1248","ipdsId":"IP-096120","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kahana Valley, O'ahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -157.8951644897461,\n              21.531174350855327\n            ],\n            [\n              -157.85945892333982,\n              21.531174350855327\n            ],\n            [\n              -157.85945892333982,\n              21.56534238492598\n            ],\n            [\n              -157.8951644897461,\n              21.56534238492598\n            ],\n            [\n              -157.8951644897461,\n              21.531174350855327\n            ]\n          ]\n        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brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwarzbauer, Jan","contributorId":213416,"corporation":false,"usgs":false,"family":"Schwarzbauer","given":"Jan","email":"","affiliations":[{"id":38752,"text":"1 Institute for Geology and Geochemistry of Petroleum and Coal, RWTH Aachen University Lochnerstrasse 4-20, 52056, Aachen, Germany,","active":true,"usgs":false}],"preferred":false,"id":757676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757677,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Griswold, Frances 0000-0002-8337-9428","orcid":"https://orcid.org/0000-0002-8337-9428","contributorId":213417,"corporation":false,"usgs":false,"family":"Griswold","given":"Frances","email":"","affiliations":[{"id":38753,"text":"Department of Geosciences, University of Massachusetts, Amherst, MA 01003, USA","active":true,"usgs":false}],"preferred":false,"id":757678,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":757679,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":757680,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reicherter, Klaus","contributorId":213418,"corporation":false,"usgs":false,"family":"Reicherter","given":"Klaus","email":"","affiliations":[{"id":38754,"text":"Lehr- und Forschungsgebiet Neotektonik und Georisiken, RWTH Aachen University Lochnerstrasse 4-20, 52056, Aachen, Germany","active":true,"usgs":false}],"preferred":false,"id":757681,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70215774,"text":"70215774 - 2020 - Evaluating catchability in a large-scale gillnet survey using hydroacoustics: Making the case for coupled surveys","interactions":[],"lastModifiedDate":"2020-10-29T22:26:27.029883","indexId":"70215774","displayToPublicDate":"2018-12-04T17:21:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating catchability in a large-scale gillnet survey using hydroacoustics: Making the case for coupled surveys","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\"><div id=\"abst0010\"><p id=\"spar0080\">Abundance estimates facilitate successful fisheries management. Fisheries agencies often monitor abundance through fishery independent standardized protocols generating relative measures such as catch-per-unit-effort (CPUE), where CPUE is assumed proportional to true abundance. Unfortunately, this assumption is rarely met as fish behavior and environmental conditions influence catchability and sample gear efficiency. We used paired gillnet and hydroacoustic samples and a catchability equation (<span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>U</mi><mi is=&quot;true&quot;>i</mi></msub><mtext is=&quot;true&quot;></mtext><mo is=&quot;true&quot;>=</mo><mtext is=&quot;true&quot;></mtext><mi is=&quot;true&quot;>q</mi><msubsup is=&quot;true&quot;><mi is=&quot;true&quot;>N</mi><mi is=&quot;true&quot;>i</mi><mi is=&quot;true&quot;>&amp;#x3B2;</mi></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">U<sub>i</sub>=qN<sub>i</sub><sup>β</sup></span></span></span>) to assess the correspondence between gillnet CPUE (<span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>U</mi><mi is=&quot;true&quot;>i</mi></msub></math>\"><span class=\"MJX_Assistive_MathML\">U<sub>i</sub></span></span></span>) and hydroacoustic abundance estimates (<span class=\"math\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>N</mi><mi is=&quot;true&quot;>i</mi></msub></math>\"><span class=\"MJX_Assistive_MathML\">N<sub>i</sub></span></span></span>). We found that gill nets were hyperstable (i.e., β &lt; 1) and efficiency declined along environmental gradients. These gradients, such as increased depths, and decreased turbidity and water temperatures, likely influenced fish behavior, and encounter and gear saturation rates. As a result, catchability declined with increasing abundance qacross survey regions. Finally, simulations showed that catchability gradients and variable migratory patterns can contribute to annual variation in CPUE indices regardless of changes in abundance. Surveys plagued by varying catchability could benefit from coupling with hydroacoustics, a sample gear less subject to gear efficiency and catchability issues.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2018.11.009","usgsCitation":"DuFour, M.R., Qian, S.S., Mayer, C.M., and Vandergoot, C., 2020, Evaluating catchability in a large-scale gillnet survey using hydroacoustics: Making the case for coupled surveys: Fisheries Research, v. 211, p. 309-318, https://doi.org/10.1016/j.fishres.2018.11.009.","productDescription":"10 p.","startPage":"309","endPage":"318","ipdsId":"IP-090481","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":458787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fishres.2018.11.009","text":"Publisher Index Page"},{"id":379945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.1395263671875,\n              41.81636125072054\n            ],\n            [\n              -81.727294921875,\n              42.30575300304638\n            ],\n            [\n              -82.2052001953125,\n              42.15525946577863\n            ],\n            [\n              -82.46337890625,\n              41.87774145109676\n            ],\n            [\n              -82.672119140625,\n              41.96357478222518\n            ],\n            [\n              -83.18298339843749,\n              41.95949009892467\n            ],\n            [\n              -83.3807373046875,\n              41.80407814427234\n            ],\n            [\n              -82.9302978515625,\n              41.56203190200195\n            ],\n            [\n              -82.8094482421875,\n              41.623655390686395\n            ],\n            [\n              -82.6226806640625,\n              41.50446357504803\n            ],\n            [\n              -82.50732421875,\n              41.393294288784865\n            ],\n            [\n              -82.3370361328125,\n              41.45919537950706\n            ],\n            [\n              -82.0513916015625,\n              41.53736603550382\n            ],\n            [\n              -81.9085693359375,\n              41.51269075845857\n            ],\n            [\n              -81.6888427734375,\n              41.55381099217959\n            ],\n            [\n              -81.2713623046875,\n              41.80817277478235\n            ],\n            [\n              -81.1395263671875,\n              41.81636125072054\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"211","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"DuFour, Mark R.","contributorId":203270,"corporation":false,"usgs":false,"family":"DuFour","given":"Mark","email":"","middleInitial":"R.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":803379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":803380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayer, Christine M","contributorId":195893,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":803381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergoot, Christopher 0000-0003-4128-3329 cvandergoot@usgs.gov","orcid":"https://orcid.org/0000-0003-4128-3329","contributorId":178356,"corporation":false,"usgs":true,"family":"Vandergoot","given":"Christopher","email":"cvandergoot@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":803382,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201620,"text":"70201620 - 2020 - Using redundant primer sets to detect multiple native Alaskan fish species from environmental DNA","interactions":[],"lastModifiedDate":"2020-02-05T17:59:37","indexId":"70201620","displayToPublicDate":"2018-11-16T15:56:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Using redundant primer sets to detect multiple native Alaskan fish species from environmental DNA","docAbstract":"<p><span>Accurate and timely data regarding freshwater fish communities is important for informed decision-making by local, state, tribal, and federal land and resource managers; however, conducting traditional gear-based fish surveys can be an expensive and time-consuming process, particularly in remote areas, like those that characterize much of Alaska. To help address this challenge, we developed and tested five multi-species environmental DNA (eDNA) primer sets for the simultaneous detection of up to 37 target fish species in a single sample. Using these primer sets can reduce the cost and time needed to perform future studies of fish communities. Our results comparing multiple samples from multiple lakes and streams using multiple next-generation sequencing runs show the efficacy and reproducibility of these primers.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12686-018-1071-7","usgsCitation":"Menning, D.M., Simmons, T., and Talbot, S.L., 2020, Using redundant primer sets to detect multiple native Alaskan fish species from environmental DNA: Conservation Genetics Resources, v. 12, p. 109-123, https://doi.org/10.1007/s12686-018-1071-7.","productDescription":"15 p.","startPage":"109","endPage":"123","ipdsId":"IP-087711","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":437228,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RU1RVN","text":"USGS data release","linkHelpText":"Detection of Multiple Fish Species Using Environmental DNA (eDNA), Alaska 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,{"id":70201264,"text":"70201264 - 2020 - Quaternary eolian dunes and sand sheets in inland locations of the Atlantic Coastal Plain Province, USA","interactions":[],"lastModifiedDate":"2020-06-15T18:03:09.708527","indexId":"70201264","displayToPublicDate":"2018-11-01T10:19:44","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Quaternary eolian dunes and sand sheets in inland locations of the Atlantic Coastal Plain Province, USA","docAbstract":"<p id=\"Par1\" class=\"Para\">Quaternary eolian dunes and sand sheets that are stabilized by vegetation are present throughout many inland locations of the Atlantic Coastal Plain province (USA). These locations include river valleys, the Carolina Sandhills region, adjacent to Carolina Bays, and upland areas of the northern coastal plain. The eolian dunes are primarily parabolic in river valleys and in upland areas of the northern coastal plain, linear in the Carolina Sandhills region, and arcuate adjacent to Carolina Bays. Optically stimulated luminescence (OSL) ages from the eolian sands range from circa (ca.) 92–5&nbsp;ka, revealing that they are relict features that are not active today. These sands have been degraded by vegetation and pedogenic processes, and are stabilized under modern environmental conditions. Most of the OSL ages are approximately coincident with the last glacial maximum (LGM), when conditions were generally colder, drier, and windier. Various features associated with these eolian dunes and sand sheets suggest that the winds that mobilized the sand blew from the northwest in the coastal plain region of Maryland and Delaware, and from the west in the coastal plain region of North Carolina, South Carolina, and Georgia. Most of the eolian dunes and sand sheets are composed of fine to medium sand, although a substantial silt component is present in the northern coastal plain, and a substantial coarse sand component is present in the Carolina Sandhills region. Eolian sand mobilization would have been facilitated by conditions of stronger wind velocity (at least 4–6&nbsp;m/s), lower air temperature, lower air humidity, and (or) reduced vegetation cover. Eolian sediment mobilization appears to have occurred episodically at any given site, although sites that are farther south have preserved a greater proportion of eolian sands yielding pre-LGM ages (indicating that the southern landscapes farther from the ice sheet have experienced less reworking).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Inland dunes of North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-40498-7_2","usgsCitation":"Swezey, C.S., 2020, Quaternary eolian dunes and sand sheets in inland locations of the Atlantic Coastal Plain Province, USA, chap. <i>of</i> Inland dunes of North America, p. 11-63, https://doi.org/10.1007/978-3-030-40498-7_2.","productDescription":"52 p.","startPage":"11","endPage":"63","ipdsId":"IP-092727","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":360091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Coastal Plain Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.1796875,\n              40.51379915504413\n            ],\n            [\n              -76.11328125,\n              39.842286020743394\n            ],\n            [\n              -77.080078125,\n              38.34165619279595\n            ],\n            [\n              -79.8046875,\n              35.460669951495305\n            ],\n            [\n              -81.73828125,\n              33.358061612778876\n            ],\n            [\n              -82.705078125,\n              31.57853542647338\n            ],\n            [\n              -83.935546875,\n              30.44867367928756\n            ],\n            [\n              -85.078125,\n              30.372875188118016\n            ],\n            [\n              -85.25390625,\n              29.22889003019423\n            ],\n            [\n              -82.96875,\n              28.844673680771795\n            ],\n            [\n              -82.001953125,\n              25.64152637306577\n            ],\n            [\n              -80.947265625,\n              24.686952411999155\n            ],\n            [\n              -79.98046875,\n              25.3241665257384\n            ],\n            [\n              -80.5078125,\n              28.304380682962783\n            ],\n            [\n              -81.38671875,\n              30.29701788337205\n            ],\n            [\n              -80.771484375,\n              30.90222470517144\n            ],\n            [\n              -75.849609375,\n              34.45221847282654\n            ],\n            [\n              -75.673828125,\n              35.817813158696616\n            ],\n            [\n              -74.619140625,\n              38.54816542304656\n            ],\n            [\n              -73.65234375,\n              40.245991504199026\n            ],\n            [\n              -72.50976562499999,\n              40.713955826286046\n            ],\n            [\n              -73.564453125,\n              41.11246878918088\n            ],\n            [\n              -74.1796875,\n              40.51379915504413\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2020-05-21","publicationStatus":"PW","scienceBaseUri":"5c0f897be4b0c53ecb2c71fe","contributors":{"authors":[{"text":"Swezey, Christopher S. 0000-0003-4019-9264 cswezey@usgs.gov","orcid":"https://orcid.org/0000-0003-4019-9264","contributorId":173033,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher","email":"cswezey@usgs.gov","middleInitial":"S.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":753417,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70212662,"text":"70212662 - 2020 - Community tools for cartographic and photogrammetric processing of Mars Express HRSC images","interactions":[],"lastModifiedDate":"2020-08-25T15:55:33.222759","indexId":"70212662","displayToPublicDate":"2018-10-29T10:52:47","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"9","title":"Community tools for cartographic and photogrammetric processing of Mars Express HRSC images","docAbstract":"<p><span>In this chapter we describe the software we have developed for photogrammetric processing of images from the Mars Express High Resolution Stereo Camera (MEX HRSC) to produce digital topographic models (DTMs) and orthoimages, as well as testing we have performed. HRSC has returned images, including stereo and color coverage of most of Mars at decameter scales. The instrument team has developed an extremely powerful processing pipeline and delivered a large number of high-level data products, but our independent software is nevertheless of interest because it provides a check on the standard products, sheds light on the capabilities of software elements we use for multiple missions besides HRSC, and is publicly available, giving users the opportunity to make products that may not (yet) be released by the team and custom products such as local mosaics. We have tested our software on images of three areas: Candor Chasma and Nanedi Valles (both the subject of past DTM comparisons reported by Heipke et al., 2007) and Gale crater, which was extensively mapped at pixel scales 50 times finer than HRSC before its selection as the landing site of the Curiosity rover. We find the vertical precision and mean deviation from the altimetry data used as a control reference for our DTMs to be comparable to the nadir image pixel size. The horizontal resolution of the DTMs appears to be an order of magnitude coarser than the lower limit of 3–5 image pixels that is commonly stated.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Planetary remote sensing and mapping","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","doi":"10.1201/9780429505997-9","usgsCitation":"Kirk, R.L., Howington-Kraus, E., Edmundson, K., Redding, B.L., Galuszka, D.M., Hare, T.M., and Gwinner, K., 2020, Community tools for cartographic and photogrammetric processing of Mars Express HRSC images, chap. 9 <i>of</i> Planetary remote sensing and mapping, p. 107-124, https://doi.org/10.1201/9780429505997-9.","productDescription":"18 p.","startPage":"107","endPage":"124","ipdsId":"IP-095329","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":377830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":797230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howington-Kraus, Elpitha 0000-0001-5787-6554 ahowington@usgs.gov","orcid":"https://orcid.org/0000-0001-5787-6554","contributorId":2815,"corporation":false,"usgs":true,"family":"Howington-Kraus","given":"Elpitha","email":"ahowington@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":797231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmundson, Kenneth 0000-0003-3666-0927 kedmundson@usgs.gov","orcid":"https://orcid.org/0000-0003-3666-0927","contributorId":206340,"corporation":false,"usgs":true,"family":"Edmundson","given":"Kenneth","email":"kedmundson@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":797232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Redding, Bonnie L. 0000-0001-8178-1467 bredding@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-1467","contributorId":4798,"corporation":false,"usgs":true,"family":"Redding","given":"Bonnie","email":"bredding@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":797233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":797234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":797235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gwinner, K.","contributorId":239565,"corporation":false,"usgs":false,"family":"Gwinner","given":"K.","affiliations":[{"id":47920,"text":"German Aerospace Center DLR","active":true,"usgs":false}],"preferred":false,"id":797236,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70213192,"text":"70213192 - 2020 - Calibrating geosynchronous and polar orbiting satellites: Sharing best practices","interactions":[],"lastModifiedDate":"2020-09-16T01:34:39.319999","indexId":"70213192","displayToPublicDate":"2018-08-22T09:06:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Calibrating geosynchronous and polar orbiting satellites: Sharing best practices","docAbstract":"<p><span>Earth remote sensing optical satellite systems are often divided into two categories—geosynchronous and sun-synchronous. Geosynchronous systems essentially rotate with the Earth and continuously observe the same region of the Earth. Sun-synchronous systems are generally in a polar orbit and view differing regions of the Earth at the same local time. Although similar in instrument design, there are enough differences in these two types of missions that often the calibration of the instruments can be substantially different. Thus, respective calibration teams develop independent methods and do not interact regularly or often. Yet, there are numerous areas of overlap and much to learn from one another. To address this issue, a panel of experts from both types of systems was convened to discover common areas of concern, areas where improvements can be made, and recommendations for the future. As a result of the panelist’s efforts, a set of eight recommendations were developed. Those that are related to improvements of current technologies include maintaining sun-synchronous orbits (not allowing orbital decay), standardization of spectral bandpasses, and expanded use of well-developed calibration techniques such as deep convective clouds, pseudo invariant calibration sites, and lunar methodologies. New techniques for expanded calibration capability include using geosynchronous instruments as transfer radiometers, continued development of ground-based prelaunch calibration technologies, expansion of RadCalNet, and development of space-based calibration radiometer systems.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs12172786","usgsCitation":"Helder, D., Doelling, D., Bhatt, R., Choi, T., and Barsi, J.A., 2020, Calibrating geosynchronous and polar orbiting satellites: Sharing best practices: Remote Sensing, v. 12, no. 17, 2786, 22 p., https://doi.org/10.3390/rs12172786.","productDescription":"2786, 22 p.","ipdsId":"IP-119696","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":458795,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12172786","text":"Publisher Index Page"},{"id":378397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"17","noUsgsAuthors":false,"publicationDate":"2020-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Helder, Dennis 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":213606,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":798843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doelling, David","contributorId":240631,"corporation":false,"usgs":false,"family":"Doelling","given":"David","email":"","affiliations":[{"id":48120,"text":"NASA LaRC","active":true,"usgs":false}],"preferred":false,"id":798844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhatt, Rajendra","contributorId":95768,"corporation":false,"usgs":true,"family":"Bhatt","given":"Rajendra","email":"","affiliations":[],"preferred":false,"id":798845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, Taeyoung","contributorId":146955,"corporation":false,"usgs":false,"family":"Choi","given":"Taeyoung","email":"","affiliations":[],"preferred":false,"id":798846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":798847,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70213188,"text":"70213188 - 2020 - Observations and recommendations for coordinated calibration activities of government and commercial optical satellite systems","interactions":[],"lastModifiedDate":"2021-04-01T16:52:44.024795","indexId":"70213188","displayToPublicDate":"2018-08-22T08:56:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Observations and recommendations for coordinated calibration activities of government and commercial optical satellite systems","docAbstract":"<p><span>One of the biggest changes in the world of optical remote sensing over the last several years is the sheer increase in the number of sensors that are imaging the Earth in moderate to high spatial resolution. With respect to the calibration of these sensors, they are broadly classified into two types, namely government systems and commercial systems. Because of the differences in the design and mission of these sensor types, calibration approaches are often substantially different. Thus, an opportunity exists to foster discussion between calibration teams for these sensors with the goal of improving overall sensor calibration and data interoperability. The approach used to accomplish this task was a one-day workshop where team members from both government and commercial sensors could share best practices, discuss methods for collaboration and improvement, and make recommendations for continuing activities. Five major recommendations were developed from the event that focused on coordinated activities using pseudo invariant calibration sites (PICS), broader and more consistent communication, collaboration on specific cross-calibration opportunities, developing a reference sensor for all optical systems, and encouraging the coordinated development of surface reflectance products. Workshop participants concluded that regular interactions between these teams could foster a better calibration of all sensor systems and accelerate the improved interoperability of surface products.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs12152468","usgsCitation":"Helder, D., Anderson, C., Beckett, K., Houborg, R., Zuleta, I., Boccia, V., Clerc, S., Kuester, M., Brian Markham, and Pagnutti, M., 2020, Observations and recommendations for coordinated calibration activities of government and commercial optical satellite systems: Remote Sensing, v. 12, no. 15, 2468,  17 p., https://doi.org/10.3390/rs12152468.","productDescription":"2468,  17 p.","ipdsId":"IP-117839","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":458797,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12152468","text":"Publisher Index Page"},{"id":378354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"15","noUsgsAuthors":false,"publicationDate":"2020-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Helder, Dennis 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":213606,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":798548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":813422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beckett, Keith","contributorId":240605,"corporation":false,"usgs":false,"family":"Beckett","given":"Keith","email":"","affiliations":[{"id":48112,"text":"Planet","active":true,"usgs":false}],"preferred":false,"id":813423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houborg, Rasmus","contributorId":240608,"corporation":false,"usgs":false,"family":"Houborg","given":"Rasmus","email":"","affiliations":[{"id":48112,"text":"Planet","active":true,"usgs":false}],"preferred":false,"id":813424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zuleta, Ignacio","contributorId":240611,"corporation":false,"usgs":false,"family":"Zuleta","given":"Ignacio","email":"","affiliations":[{"id":48112,"text":"Planet","active":true,"usgs":false}],"preferred":false,"id":813425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boccia, Valentina","contributorId":240606,"corporation":false,"usgs":false,"family":"Boccia","given":"Valentina","email":"","affiliations":[{"id":38836,"text":"European Space Agency","active":true,"usgs":false}],"preferred":false,"id":813426,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clerc, Sebastian","contributorId":240607,"corporation":false,"usgs":false,"family":"Clerc","given":"Sebastian","email":"","affiliations":[{"id":48113,"text":"ACRI-ST","active":true,"usgs":false}],"preferred":false,"id":798550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kuester, Michele","contributorId":240609,"corporation":false,"usgs":false,"family":"Kuester","given":"Michele","email":"","affiliations":[{"id":48114,"text":"Maxar","active":true,"usgs":false}],"preferred":false,"id":813427,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brian Markham","contributorId":241117,"corporation":false,"usgs":false,"family":"Brian Markham","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":813428,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pagnutti, M.","contributorId":69874,"corporation":false,"usgs":true,"family":"Pagnutti","given":"M.","affiliations":[],"preferred":false,"id":813429,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70208704,"text":"70208704 - 2020 - When portfolio theory can help environmental investment planning to reduce climate risk to future environmental outcomes - and when it cannot","interactions":[],"lastModifiedDate":"2020-02-26T06:16:43","indexId":"70208704","displayToPublicDate":"2018-07-12T12:28:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"When portfolio theory can help environmental investment planning to reduce climate risk to future environmental outcomes - and when it cannot","docAbstract":"Variability among climate change scenarios produces great uncertainty in what is the best allocation of resources among investments to protect environmental goods in the future. Previous research shows Modern Portfolio Theory (MPT) can help optimize environmental investment targeting to reduce outcome risk with minimal loss of expected level of environmental benefits, but no work has yet identified the types of cases for which MPT is most useful. This paper assembles data on 26 different conservation cases in three distinct ecological settings and develops new metrics to evaluate how well MPT can reduce uncertainty in future outcomes of a set of environmental investments. We find MPT is broadly but not universally useful and works best when multiple investments have negatively correlated outcomes across climate scenarios, a second-best investment has expected value almost as good as the value in the best investment; or multiple investments have little uncertainty in ecological outcomes.","language":"English","publisher":"Wiley","doi":"10.1111/conl.12596","usgsCitation":"Ando, A.W., Fraterrigo, J.M., Guntenspergen, G.R., Howlader, A., Mallory, M.L., Olker, J.H., and Stickley, S., 2020, When portfolio theory can help environmental investment planning to reduce climate risk to future environmental outcomes - and when it cannot: Conservation Letters, v. 11, no. 6, e12596, 10 p., https://doi.org/10.1111/conl.12596.","productDescription":"e12596, 10 p.","ipdsId":"IP-098951","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458799,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.12596","text":"Publisher Index Page"},{"id":372628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Ando, Amy W.","contributorId":189611,"corporation":false,"usgs":false,"family":"Ando","given":"Amy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":783117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fraterrigo, Jennifer M.","contributorId":150046,"corporation":false,"usgs":false,"family":"Fraterrigo","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":783118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":783119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howlader, Aparna","contributorId":222772,"corporation":false,"usgs":false,"family":"Howlader","given":"Aparna","email":"","affiliations":[],"preferred":false,"id":783120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mallory, Mindy L.","contributorId":189610,"corporation":false,"usgs":false,"family":"Mallory","given":"Mindy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":783121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olker, Jennifer H.","contributorId":208040,"corporation":false,"usgs":false,"family":"Olker","given":"Jennifer","email":"","middleInitial":"H.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":783122,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stickley, Samuel","contributorId":222773,"corporation":false,"usgs":false,"family":"Stickley","given":"Samuel","email":"","affiliations":[],"preferred":false,"id":783123,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70216179,"text":"70216179 - 2020 - Relation of fish intersex to contaminants in riverine sport fishes","interactions":[],"lastModifiedDate":"2022-02-14T12:46:37.583566","indexId":"70216179","displayToPublicDate":"2018-06-21T09:49:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Relation of fish intersex to contaminants in riverine sport fishes","docAbstract":"<p><span>Endocrine active compounds (EACs) are pollutants that have been recognized as an emerging and widespread threat to&nbsp;aquatic ecosystems&nbsp;globally.&nbsp;Intersex, the presence of female germ cells within a predominantly male gonad, is considered a biomarker of endocrine disruption caused by EACs. We measured a suite of EACs and assessed their associated impacts on fish intersex occurrence and severity in a large, regulated river system in North Carolina and South Carolina, USA. Our specific objective was to determine the relationship of contaminants in water, sediment, and fish tissue with the occurrence and severity of the intersex condition in wild, adult black bass (</span><i>Micropterus</i><span>), sunfish (</span><i>Lepomis</i><span>), and catfish (Ictaluridae) species at 11 sites located on the Yadkin-Pee Dee River. Polycyclic aromatic hydrocarbons (PAHs), ethinylestradiol (EE2), and heavy metals were the most prevalent contaminants that exceeded effect levels for the protection of aquatic organisms. Fish intersex condition was most frequently observed and most severe in black basses and was less frequently detected and less severe in sunfishes and catfishes. The occurrence of the intersex condition in fish showed site-related effects, rather than increasing longitudinal trends from&nbsp;upstream&nbsp;to downstream. Mean black bass and catfish tissue contaminant concentrations were higher than that of sunfish, likely because of the latter's lower trophic position in the food web. Principal component analysis identified waterborne PAHs as the most correlated environmental contaminant with intersex occurrence and severity in black bass and sunfish. As indicated by the intersex condition, EACs have adverse but often variable effects on the health of wild sport fishes in this river, likely due to fluctuations in EAC inputs and the dynamic nature of the riverine system. These findings enhance the understanding of the relationship between contaminants and fish health and provide information to guide ecologically comprehensive conservation and management decisions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.06.071","usgsCitation":"Grieshaber, C., Penland, T., Kwak, T.J., Cope, W., Heise, R.J., Law, J.M., Shea, D., Aday, D., Rice, J.A., and Kullman, S., 2020, Relation of fish intersex to contaminants in riverine sport fishes: Science of the Total Environment, v. 643, p. 73-89, https://doi.org/10.1016/j.scitotenv.2018.06.071.","productDescription":"16 p.","startPage":"73","endPage":"89","ipdsId":"IP-098345","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458801,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.06.071","text":"Publisher Index Page"},{"id":380301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, South Carolina","otherGeospatial":"Yadkin-Pee Dee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.34326171875,\n              33.109948297894285\n            ],\n            [\n              -79.002685546875,\n              33.5963189611327\n            ],\n            [\n              -78.64013671875,\n              33.8247936182649\n            ],\n            [\n              -79.639892578125,\n              34.6241677899049\n            ],\n            [\n              -79.881591796875,\n              35.567980458012094\n            ],\n            [\n              -80.39794921875,\n              36.41244153535644\n            ],\n            [\n              -81.27685546875,\n              36.38591277287651\n            ],\n            [\n              -81.749267578125,\n              36.03133177633187\n            ],\n            [\n              -81.40869140625,\n              35.25459097465022\n            ],\n            [\n              -80.496826171875,\n              33.95247360616282\n            ],\n            [\n              -79.34326171875,\n              33.109948297894285\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"643","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grieshaber, C. A.","contributorId":244678,"corporation":false,"usgs":false,"family":"Grieshaber","given":"C. A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Penland, T. N.","contributorId":244679,"corporation":false,"usgs":false,"family":"Penland","given":"T. N.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":804374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cope, W. G.","contributorId":244680,"corporation":false,"usgs":false,"family":"Cope","given":"W. G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heise, R. J.","contributorId":244681,"corporation":false,"usgs":false,"family":"Heise","given":"R.","email":"","middleInitial":"J.","affiliations":[{"id":48960,"text":"Duke Energy","active":true,"usgs":false}],"preferred":false,"id":804376,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Law, J. M.","contributorId":244682,"corporation":false,"usgs":false,"family":"Law","given":"J.","email":"","middleInitial":"M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804377,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shea, D.","contributorId":244683,"corporation":false,"usgs":false,"family":"Shea","given":"D.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804378,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aday, D. D.","contributorId":244684,"corporation":false,"usgs":false,"family":"Aday","given":"D. D.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804379,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rice, J. A.","contributorId":244685,"corporation":false,"usgs":false,"family":"Rice","given":"J.","email":"","middleInitial":"A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804380,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kullman, S. W.","contributorId":244686,"corporation":false,"usgs":false,"family":"Kullman","given":"S. W.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804381,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70215769,"text":"70215769 - 2020 - Accuracy of nest fate classification and predator identification from evidence at nests of least terns and piping plovers","interactions":[],"lastModifiedDate":"2020-10-30T13:27:01.279131","indexId":"70215769","displayToPublicDate":"2018-06-11T08:13:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy of nest fate classification and predator identification from evidence at nests of least terns and piping plovers","docAbstract":"<p><span>For federally listed species such as Least Tern&nbsp;</span><i>Sternula antillarum</i><span>&nbsp;and Piping Plover&nbsp;</span><i>Charadrius melodus</i><span>, correct determination of nest fates and causes of nest failure is crucial for understanding population dynamics and improving monitoring programmes. We used video cameras to evaluate nest fate misclassification rate and to identify factors that may cause researchers monitoring nests at different intervals to classify Least Tern and Piping Plover nest fates incorrectly. During the 2013–2015 breeding seasons, we installed miniature surveillance cameras at 65 of 294 Least Tern and 89 of 551 Piping Plover nests under observation on the Missouri River in North Dakota. Nest fates were assigned in the field from remains found at the nest‐site and then again by an independent researcher who reviewed camera footage. We used ordinal logistic regressions to examine whether monitoring interval, clutch age or temporal factors influenced a correct, partially misclassified (probable successful in the field vs. successful by camera) or misclassified nest fate classification. During a 7‐day monitoring interval between visits, 45% of nests were partially and 27.5% were fully misclassified. The percentage of partially (20%) and fully (8.0%) misclassified nests decreased with a more intensive (3‐day) monitoring schedule. Researchers were also less likely to correctly classify nest fates for Least Terns than for Piping Plovers, and as clutch age and monitoring interval increased for both species. Furthermore, causes of failure (e.g. predators, weather) as determined from field evidence vs. video disagreed for 53.5% of nests. The ability to identify accurately nest fate and cause of nest failure will facilitate a better understanding of factors that limit productivity and will lead to better informed management decisions for improving nest survival.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12629","usgsCitation":"Andes, A.K., Shaffer, T.L., Sherfy, M.H., Hofer, C.M., Dovichin, C., and Ellis-Felege, S., 2020, Accuracy of nest fate classification and predator identification from evidence at nests of least terns and piping plovers: Ibis, v. 161, no. 2, p. 286-300, https://doi.org/10.1111/ibi.12629.","productDescription":"15 p.","startPage":"286","endPage":"300","ipdsId":"IP-093019","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458802,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.12629","text":"Publisher Index Page"},{"id":379961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.0625,\n              46.965259400349275\n            ],\n            [\n              -100.5029296875,\n              46.965259400349275\n            ],\n            [\n              -100.5029296875,\n              48.25394114463431\n            ],\n            [\n              -104.0625,\n              48.25394114463431\n            ],\n            [\n              -104.0625,\n              46.965259400349275\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"161","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Andes, Alicia K. 0000-0002-9473-2354","orcid":"https://orcid.org/0000-0002-9473-2354","contributorId":244125,"corporation":false,"usgs":false,"family":"Andes","given":"Alicia","email":"","middleInitial":"K.","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":803361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":803362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":803363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofer, Chantel M.","contributorId":244126,"corporation":false,"usgs":false,"family":"Hofer","given":"Chantel","email":"","middleInitial":"M.","affiliations":[{"id":48849,"text":"U.S. Army Corps of Engineers, Omaha District","active":true,"usgs":false}],"preferred":false,"id":803364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dovichin, Colin M. 0000-0002-9325-5779","orcid":"https://orcid.org/0000-0002-9325-5779","contributorId":244127,"corporation":false,"usgs":false,"family":"Dovichin","given":"Colin M.","affiliations":[{"id":33701,"text":"former USGS-NPWRC","active":true,"usgs":false}],"preferred":false,"id":803365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellis-Felege, Susan N.","contributorId":244128,"corporation":false,"usgs":false,"family":"Ellis-Felege","given":"Susan N.","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":803366,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70216441,"text":"70216441 - 2020 - Aeromagnetic data reveal potentially seismogenic basement faults in the induced seismicity setting of Oklahoma","interactions":[],"lastModifiedDate":"2020-11-19T12:57:04.281597","indexId":"70216441","displayToPublicDate":"2018-05-31T07:09:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Aeromagnetic data reveal potentially seismogenic basement faults in the induced seismicity setting of Oklahoma","docAbstract":"<div class=\"article-section__content en main\"><p>New aeromagnetic survey data collected over north central Oklahoma image possible seismogenic faults in the crystalline basement. Linear earthquake sequences associated with induced seismicity suggest the reactivation of ancient basement faults, but few of these sequences are aligned with mapped faults. The new data show many earthquake sequences aligned with linear magnetic gradients or offsets between anomalies, while mapped faults, which mainly describe sedimentary cover, show limited correspondence with either. This strongly suggests significant structural differences between the crystalline basement and sedimentary cover. Furthermore, while the earthquakes are occurring on reactivated ancient faults, most of these faults have likely been inactive for millions of years. The magnetic data exhibit many gradient lineaments that are optimally oriented for fault slip, and the earthquake data suggest additional optimally oriented faults. Together these data suggest the presence of potentially numerous seismogenic faults throughout the region, which may contribute to high levels of induced seismicity.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GL077768","usgsCitation":"Shah, A.K., and Crain, K.D., 2020, Aeromagnetic data reveal potentially seismogenic basement faults in the induced seismicity setting of Oklahoma: Geophysical Research Letters, v. 45, no. 12, p. 5948-5958, https://doi.org/10.1029/2018GL077768.","productDescription":"11 p.","startPage":"5948","endPage":"5958","ipdsId":"IP-095299","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":458803,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl077768","text":"Publisher Index Page"},{"id":380586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.20654296875,\n              34.016241889667015\n            ],\n            [\n              -95.47119140625,\n              34.016241889667015\n            ],\n            [\n              -95.47119140625,\n              36.96744946416934\n            ],\n            [\n              -99.20654296875,\n              36.96744946416934\n            ],\n            [\n              -99.20654296875,\n              34.016241889667015\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"12","noUsgsAuthors":false,"publicationDate":"2018-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crain, Kevin D 0000-0001-6064-5095","orcid":"https://orcid.org/0000-0001-6064-5095","contributorId":244999,"corporation":false,"usgs":false,"family":"Crain","given":"Kevin","email":"","middleInitial":"D","affiliations":[{"id":13170,"text":"Oklahoma Geological Survey","active":true,"usgs":false}],"preferred":false,"id":805120,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70212046,"text":"70212046 - 2020 - Mapping climate change resistant vernal pools in the northeastern U.S.","interactions":[],"lastModifiedDate":"2021-09-22T15:37:46.324155","indexId":"70212046","displayToPublicDate":"2017-12-31T10:37:14","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Mapping climate change resistant vernal pools in the northeastern U.S.","docAbstract":"Vernal pools are seasonal wetlands that provide important breeding habitat for a variety of amphibian species. As future climate projections indicate warmer growing seasons and earlier seasonal increases in evapotranspiration, some managers of vernal pools have expressed concern that pools may dry earlier in the season, potentially interfering with completion of amphibian life cycles. In this context, a subset of pools might function as hydrologic refugia by providing wetland habitat later into the year under relatively dry conditions, thus supporting species persistence even as summer conditions become warmer and droughts more frequent. This study used approximately 3,000 field observations of inundation from 450 pools in the northeastern United States—located from West Virginia to Maine—to train machine-learning models for predicting the likelihood of pool inundation. Inputs to these models included pool size, day of the year, climate conditions, short-term weather patterns, and attributes of the landscapes in which pools were embedded. Predictions of pool wetness were generated on a daily time step from late April through late July using three short-term weather scenarios (dry, wet, and average) under historical climate conditions and four sets of downscaled climate projections (2050s and 2080s under Representative Concentration Pathways 4.5 and 8.5). The modeling and inundation prediction process was replicated using four inundation thresholds on wetted area and depth. Model outputs can enable users to examine the inundation thresholds, time points, weather scenarios, and future climate projections most relevant to their management needs. Together with long-term monitoring of individual pools at the site scale, this regional-scale study can support amphibian conservation by helping to identify subsets of pools that may be most likely to function as hydrologic refugia from changing climate conditions.","language":"English","publisher":"Northeast Climate Adaptation Science Center","usgsCitation":"Cartwright, J.M., and Campbell Grant, E.H., 2020, Mapping climate change resistant vernal pools in the northeastern U.S.: Cooperator Report, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-117745","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":389594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":389593,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://necasc.umass.edu/projects/mapping-climate-change-resistant-vernal-pools-northeastern-us"}],"country":"United States","state":"Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, Virginia, West Virginia","otherGeospatial":"northeastern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.025390625,\n              37.020098201368114\n            ],\n            [\n              -66.97265625,\n              44.59046718130883\n            ],\n            [\n              -68.64257812499999,\n              47.45780853075031\n            ],\n            [\n              -80.947265625,\n              42.61779143282346\n            ],\n            [\n              -81.38671875,\n              39.436192999314095\n            ],\n            [\n              -76.025390625,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":796184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":796185,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208360,"text":"70208360 - 2020 - Clawpack: Building an open source ecosystem for solving hyperbolic PDEs","interactions":[],"lastModifiedDate":"2020-02-05T15:48:30","indexId":"70208360","displayToPublicDate":"2016-08-08T15:45:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5926,"text":"PeerJ Computer Science","onlineIssn":"2376-5992","active":true,"publicationSubtype":{"id":10}},"title":"Clawpack: Building an open source ecosystem for solving hyperbolic PDEs","docAbstract":"Clawpack is a software package designed to solve nonlinear hyperbolic partial differential equations using high-resolution finite volume methods based on Riemann solvers and limiters. The package includes a number of variants aimed at different applications and user communities. Clawpack has been actively developed as an open source project for over 20 years. The latest major release, Clawpack 5, introduces a number of new features and changes to the code base and a new development model based on GitHub and Git submodules. This article provides a summary of the most significant changes, the rationale behind some of these changes, and a description of our current development model.","language":"English","publisher":"PeerJ, Inc.","doi":"10.7717/peerj-cs.68","usgsCitation":"Mandli, K.T., Ahmadia, A.J., Berger, M.J., Calhoun, D.A., George, D.L., Hadjimichael, Y., Ketcheson, D.I., Lemoine, G., and LeVeque, R.J., 2020, Clawpack: Building an open source ecosystem for solving hyperbolic PDEs: PeerJ Computer Science, v. 2, e68, 27 p., https://doi.org/10.7717/peerj-cs.68.","productDescription":"e68, 27 p.","ipdsId":"IP-076298","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":458806,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj-cs.68","text":"Publisher Index Page"},{"id":372094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Mandli, Kyle T.","contributorId":222227,"corporation":false,"usgs":false,"family":"Mandli","given":"Kyle","email":"","middleInitial":"T.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":781568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahmadia, Aron J.","contributorId":199787,"corporation":false,"usgs":false,"family":"Ahmadia","given":"Aron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":781569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berger, Marsha J","contributorId":222228,"corporation":false,"usgs":false,"family":"Berger","given":"Marsha","email":"","middleInitial":"J","affiliations":[{"id":40508,"text":"New York University","active":true,"usgs":false}],"preferred":false,"id":781570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calhoun, Donna A","contributorId":222229,"corporation":false,"usgs":false,"family":"Calhoun","given":"Donna","email":"","middleInitial":"A","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":781571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":781572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hadjimichael, Yiannis","contributorId":222230,"corporation":false,"usgs":false,"family":"Hadjimichael","given":"Yiannis","email":"","affiliations":[{"id":35609,"text":"KAUST University","active":true,"usgs":false}],"preferred":false,"id":781573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ketcheson, David I.","contributorId":199791,"corporation":false,"usgs":false,"family":"Ketcheson","given":"David","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":781574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lemoine, Grady I.","contributorId":222231,"corporation":false,"usgs":false,"family":"Lemoine","given":"Grady I.","affiliations":[{"id":35610,"text":"CD-Adapco","active":true,"usgs":false}],"preferred":false,"id":781575,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LeVeque, Randall J.","contributorId":198359,"corporation":false,"usgs":false,"family":"LeVeque","given":"Randall","email":"","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":781576,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70210698,"text":"fs20203027 - No Year - Assessment of continuous oil and gas resources in the Ordovician Collingwood Formation and Utica Shale of the Michigan Basin Province, 2019","interactions":[],"lastModifiedDate":"2020-09-08T15:28:53.379784","indexId":"fs20203027","displayToPublicDate":"2020-06-22T14:00:00","publicationYear":"2020","noYear":true,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3027","displayTitle":"Assessment of Continuous Oil and Gas Resources in the Ordovician Collingwood Formation and Utica Shale of the Michigan Basin Province, 2019","title":"Assessment of continuous oil and gas resources in the Ordovician Collingwood Formation and Utica Shale of the Michigan Basin Province, 2019","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 290 milllion barrels of shale oil and 7.9 trillion cubic feet of shale gas in the Ordovician Collingwood-Utica Shale Total Petroleum System of the Michigan Basin Province.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203027","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Leathers-Miller, H.M., Finn, T.M., Le, P.A., Brownfield, M.E., Marra, K.R., and Ellis, G.S., 2020, Assessment of continuous oil and gas resources in the Ordovician Collingwood Formation and Utica Shale of the Michigan Basin Province, 2019: U.S. Geological Survey Fact Sheet 2020–3027, 2 p., https://doi.org/10.3133/fs20203027.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"N","ipdsId":"IP-112453","costCenters":[{"id":164,"text":"Central Energy Resources Science 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In response to a need for information on potential domestic sources of REEs in mineral deposits, the U.S. Geological Survey (USGS) identified broad focus areas throughout the conterminous United States and Alaska as a guide for selecting new geoscience research areas. This study was done to support the USGS Earth Mapping Resources Initiative (Earth MRI).</p><p>Focus areas are identified in four regions of the United States (Alaska, West, Central, and East) by mineral deposit type. The areas are described in a companion USGS data release that consists of a map in a geographic information system and accompanying tables that document the rationale for each focus area (C.L. Dicken and others, 2019, <a href=\"https://doi.org/10.5066/P95CHIL0\" data-mce-href=\"https://doi.org/10.5066/P95CHIL0\">https://doi.org/10.5066/P95CHIL0</a>). This open-file report describes the methodology that was used to identify focus areas and determine new data acquisition needs. Deposit types that are likely to be of interest for future exploration and development of domestic nonfuel REE resources include deposits associated with carbonatites and peralkaline rocks, iron oxide-apatite deposits, monazite-bearing placers, and REE-enriched phosphorites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191023A","usgsCitation":"Hammarstrom, J.H., and Dicken, C.L., 2019, Focus areas for data acquisition for potential domestic sources of critical minerals—Rare earth elements (ver. 1.1, July 2022), chap. A <em>of</em> U.S. Geological Survey, Focus areas for data acquisition for potential domestic sources of critical minerals: U.S. Geological Survey Open-File Report 2019–1023, 11 p, https://doi.org/10.3133/ofr20191023A.","productDescription":"Report: vi, 11 p.; Data Release","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-104700","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":501521,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_108444.htm","linkFileType":{"id":5,"text":"html"}},{"id":403730,"rank":9,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023E","text":"Open-File Report 2019-1023-E","linkHelpText":"- Alaska Focus Area Definition for Data Acquisition for Potential Domestic Sources of Critical Minerals in Alaska for Antimony, Barite, Beryllium, Chromium, Fluorspar, Hafnium, Magnesium, 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Resources Initiative (Earth MRI): Mapping the Nation’s Critical Mineral Resources"},{"id":361986,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1023/a/ofr20191023a.pdf","text":"Report","size":"1.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1023"},{"id":420419,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1023/a/coverthb2.jpg"},{"id":403729,"rank":8,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023D","text":"Open-File Report 2019-1023-D","linkHelpText":"- Focus Areas for Data Acquisition for Potential Domestic Resources of 13 Critical Minerals in the Conterminous United States and Puerto Rico—Antimony, Barite, Beryllium, Chromium, Fluorspar, Hafnium, Helium, Magnesium, Manganese, Potash, Uranium, Vanadium, and Zirconium"},{"id":403728,"rank":7,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023C","text":"Open-File Report 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States\"}}]}","edition":"Version 1.0: March 2019; Version 1.1: July 2022","contact":"<p><a href=\"https://minerals.usgs.gov/\" data-mce-href=\"https://minerals.usgs.gov/\">Mineral Resources Program</a><br>U.S. Geological Survey<br>913 National Center<br>12201 Sunrise Valley Drive <br>Reston, VA 20192<br>Email: <a href=\"mailtto:Minerals@usgs.gov\" data-mce-href=\"mailtto:Minerals@usgs.gov\">Minerals@usgs.gov</a></p>","tableOfContents":"<ul><li>Preface</li><li>Abstract</li><li>Introduction</li><li>Geologic Framework for REE Focus Areas</li><li>Data Sources</li><li>Methods</li><li>Discussion</li><li>Priority Data Needs</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-03-14","revisedDate":"2022-07-14","noUsgsAuthors":false,"publicationDate":"2019-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":759159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dicken, Connie L. 0000-0002-1617-8132 cdicken@usgs.gov","orcid":"https://orcid.org/0000-0002-1617-8132","contributorId":57098,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759160,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227755,"text":"70227755 - 2019 - Reproductive biology of Grey-breasted Wood-Wren (Henicorhina leucophrys): A comparative study of tropical and temperate wrens","interactions":[],"lastModifiedDate":"2022-01-28T14:52:47.32805","indexId":"70227755","displayToPublicDate":"2022-01-28T08:44:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reproductive biology of Grey-breasted Wood-Wren (<i>Henicorhina leucophrys</i>): A comparative study of tropical and temperate wrens","title":"Reproductive biology of Grey-breasted Wood-Wren (Henicorhina leucophrys): A comparative study of tropical and temperate wrens","docAbstract":"<p><span>We provide a detailed breeding biology account for the Grey-breasted Wood-Wren (</span><i>Henicorhina leucophrys</i><span>) and a comparison of the reproductive life history of tropical and temperate wrens using literature data. We conducted this study at Yacambú National Park in Venezuela from 2002 to 2008. Clutch size was 1.99 (SE 0.01) and fresh egg mass was 2.35 g (0.02). Females incubated the eggs for 19.74 d (0.37), and nestlings left nests at 17.37 d (0.18). Nest attentiveness (percent time spent on the nest) increased across the incubation period while brooding attentiveness decreased as nestlings aged. Brooding effort began with similar attentiveness as at the end of incubation. Food provisioning rate and feeding rate per nestling increased as nestlings aged. Growth rates (</span><i>K</i><span>) based on mass, tarsus, and wing chord were relatively slow at 0.375, 0.246, and 0.257, respectively. The nesting season extended from mid-March to late June for 7 years and the average nesting season length was 64.5 d (3.68) with a median of May 4. Nest success was 22%. Nest predation was the cause of 77% of nest failures with a total daily predation rate of 0.030 (0.002). Results obtained from the literature demonstrated that tropical wrens averaged smaller clutch sizes and longer incubation periods than relatives in the temperate region.</span></p>","language":"English","publisher":"Allen Press","doi":"10.1676/18-12","usgsCitation":"Arslan, N.S., and Martin, T.E., 2019, Reproductive biology of Grey-breasted Wood-Wren (Henicorhina leucophrys): A comparative study of tropical and temperate wrens: Wilson Journal of Ornithology, v. 131, no. 1, p. 1-11, https://doi.org/10.1676/18-12.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-091643","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":501024,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/11491/1636","text":"External Repository"},{"id":395046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Venezuela","otherGeospatial":"Yacambú National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.88677978515625,\n              9.446352499964977\n            ],\n            [\n              -69.46929931640624,\n              9.446352499964977\n            ],\n            [\n              -69.46929931640624,\n              9.82138870534266\n            ],\n            [\n              -69.88677978515625,\n              9.82138870534266\n            ],\n            [\n              -69.88677978515625,\n              9.446352499964977\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"131","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Arslan, Necmiye Sahin","contributorId":272527,"corporation":false,"usgs":false,"family":"Arslan","given":"Necmiye","email":"","middleInitial":"Sahin","affiliations":[{"id":50219,"text":"um","active":true,"usgs":false}],"preferred":false,"id":832048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832049,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70240329,"text":"70240329 - 2019 - Bighorn sheep habitat and model extrapolation across remote landscapes","interactions":[],"lastModifiedDate":"2023-02-06T15:05:41.116143","indexId":"70240329","displayToPublicDate":"2021-12-31T09:05:05","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Bighorn sheep habitat and model extrapolation across remote landscapes","docAbstract":"<p>Determining a species’ habitat use is an essential first step in any wildlife conservation action. We described habitat use, animal movements and probable lambing areas in a remote, restricted-access region of the Mojave Desert. Differences in habitat use between sexes was apparent, supporting the often-reported concept of risk-aversion by females. Animals exhibited low variability in distances travelled, although males travelled further and with more variability than females. All females demonstrated what we interpret as lambing behavior during the same 2 ½ month periods over the two years, strongly supporting our inference of lambing sites. Water appeared critical to animal long-range movements, with no animal moving beyond 8.5 km from known sources. Modeling habitat use across the landscape of concern is another necessary step for conservation of species, allowing managers to plan for and predict the outcomes of management actions. In ecology, models are often created within relatively small areas, then extrapolated across larger regions of concern. The ability to extrapolate ecological models may be especially useful across remote areas, where consistent access by wildlife managers may be highly restricted. These restrictions on access require that most data be collected remotely, necessitating the need for extrapolating models developed in other areas. We used data from GPS-collared desert bighorn sheep to describe and model habitat use across the Pintwater Range, located on the Nevada Test and Training Range of southern Nevada, a highly restricted military training ground. We tested the efficacy of habitat model extrapolation by comparing the performance of two models derived from adjacent but independent desert bighorn sheep populations. The predictive power of seasonal habitat models derived from adjacent mountain ranges was lower than those derived from the local population. However, the performance of the extrapolated model suggests it could still be a feasible alternative for estimating general habitat use.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Desert Bighorn Council Transactions 2019: A compilation of papers presented at the 55th meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Desert Bighorn Council Transactions 2019","conferenceDate":"April 17-19, 2019","conferenceLocation":"Mesquite, NV","language":"English","publisher":"Desert Bighorn Council","usgsCitation":"Lowrey, C., Schuster, S., Longshore, K., Cummings, P., Sprunger, A., Johnson, A., and Wilson-Henjum, G.E., 2019, Bighorn sheep habitat and model extrapolation across remote landscapes, <i>in</i> Desert Bighorn Council Transactions 2019: A compilation of papers presented at the 55th meeting, Mesquite, NV, April 17-19, 2019, p. 1-20.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-116209","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":412736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":412735,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertbighorncouncil.com/transactions/download-past-dbc-transactions/"}],"country":"United States","state":"Nevada","county":"Clark County, Lincoln County, Nye County","otherGeospatial":"Nevada Test and Training Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.96047652820107,\n              37.46829180279936\n            ],\n            [\n              -115.96047652820107,\n              36.56268736637935\n            ],\n            [\n              -115.28108193619912,\n              36.56268736637935\n            ],\n            [\n              -115.28108193619912,\n              37.46829180279936\n            ],\n            [\n              -115.96047652820107,\n              37.46829180279936\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lowrey, Chris 0000-0001-5084-7275","orcid":"https://orcid.org/0000-0001-5084-7275","contributorId":216375,"corporation":false,"usgs":true,"family":"Lowrey","given":"Chris","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuster, Sara","contributorId":302080,"corporation":false,"usgs":false,"family":"Schuster","given":"Sara","email":"","affiliations":[{"id":65407,"text":"Center for Environmental Management of Military Lands","active":true,"usgs":false}],"preferred":false,"id":863427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Longshore, Kathleen 0000-0001-6621-1271","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":216374,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cummings, Patrick","contributorId":174650,"corporation":false,"usgs":false,"family":"Cummings","given":"Patrick","email":"","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":863429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sprunger, Amy","contributorId":302081,"corporation":false,"usgs":false,"family":"Sprunger","given":"Amy","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":863430,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Anna","contributorId":287611,"corporation":false,"usgs":false,"family":"Johnson","given":"Anna","email":"","affiliations":[{"id":52650,"text":"Pennsylvania Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":863431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson-Henjum, Grete Elyse 0000-0002-2284-8745","orcid":"https://orcid.org/0000-0002-2284-8745","contributorId":302082,"corporation":false,"usgs":true,"family":"Wilson-Henjum","given":"Grete","email":"","middleInitial":"Elyse","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863432,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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