Fire is a critical ecosystem process that has played a key role in shaping forests throughout the Beartooth Mountains in northwestern Wyoming. The highly variable topography of the area provides ideal conditions to compare fire regimes across contiguous forest types, yet pyro-dendrochronological research in this area is limited. We reconstructed fire frequency, tree age structure, and post-fire tree growth response in the Clarks Fork Ranger District of the Shoshone National Forest to infer variations in historical fire behavior and stand effects. We collected fire-scarred trees and plot-based tree ages on plots ranging 0.5-5 km2 in size across two forest types separated by 2 km: a lower-elevation forest of mixed Douglas-fir and lodgepole pine and a higher elevation treeline forest dominated by whitebark pine. Fires occurred in the lower-elevation forest in 1664, 1706, 1785, 1804, 1846, and 1900 with a mean fire return interval of 47 years. The fires in 1804 and 1900 were also recorded in the higher elevation forest, with significant tree mortality at high elevation in the 1900 fire. Both forests were multi-aged with little evidence of tree cohorts in response to severe, stand-replacing events. On average, tree growth increased after fires, with mean ring widths after fire 39% wider in Douglas-fir and 40% wider in lodgepole pine than pre-fire averages, suggesting that some tree mortality likely occurred in association with lower-elevation forest fires. Burns were more frequent in the lower-elevation forest and were occasionally able to spread into the upper-elevation whitebark stand. Although we suspect the transition of fires from low-to high-elevation occurred during drier years, we did not find any relationship between fire years and available climatic reconstructions via superposed epoch analysis. Regeneration during the 20th Century in the whitebark forest documents recovery of this forest after the 1900 moderate-severity fire event. Finally, especially in the lower-elevation Douglas-fir forest, the period since the last recorded fire (1900) appears to be longer than any fire-free period in the historical record, suggesting that fire exclusion may be creating changes in landscape and patch-scale stand structures, which will likely impact future fire behavior, especially the extent of crown-replacing fire, in these forests.
","language":"English","publisher":"BioONE","doi":"10.3959/TRR2018-11","usgsCitation":"Brown, S., Baysinger, A., Brown, P.M., Cheek, J.L., Diez, J.M., Gentry, C.M., Grant, T.A., St-Jacques, J., Jordan, D., Leef, M.L., Rourke, M.K., Speer, J.H., Spradlin, C.E., Stevens, J., Stone, J.R., Van Winkle, B., and Zeibig-Kichas, N.E., 2020, Fire history across forest types in the southern Beartooth Mountains, Wyoming: Tree-Ring Research, v. 76, no. 1, p. 27-39, https://doi.org/10.3959/TRR2018-11.","productDescription":"13 p.","startPage":"27","endPage":"39","ipdsId":"IP-107650","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":372047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Southern Beartooth Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.66260910034178,\n 44.880201241509404\n ],\n [\n -109.60287094116211,\n 44.880201241509404\n ],\n [\n -109.60287094116211,\n 44.949735226126776\n ],\n [\n -109.66260910034178,\n 44.949735226126776\n ],\n [\n -109.66260910034178,\n 44.880201241509404\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Sabrina R.","contributorId":222194,"corporation":false,"usgs":false,"family":"Brown","given":"Sabrina R.","affiliations":[],"preferred":false,"id":781487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baysinger, Ashley","contributorId":222195,"corporation":false,"usgs":false,"family":"Baysinger","given":"Ashley","email":"","affiliations":[],"preferred":false,"id":781488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Peter M.","contributorId":81422,"corporation":false,"usgs":true,"family":"Brown","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":781489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheek, Justin L.","contributorId":222197,"corporation":false,"usgs":false,"family":"Cheek","given":"Justin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":781490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diez, Jeffrey M.","contributorId":169803,"corporation":false,"usgs":false,"family":"Diez","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":781491,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gentry, Christopher M.","contributorId":222198,"corporation":false,"usgs":false,"family":"Gentry","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":781492,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grant, Thomas A.","contributorId":222199,"corporation":false,"usgs":false,"family":"Grant","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":781493,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"St-Jacques, Jeannine-Marie","contributorId":197562,"corporation":false,"usgs":false,"family":"St-Jacques","given":"Jeannine-Marie","email":"","affiliations":[],"preferred":false,"id":781494,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jordan, David A.","contributorId":222200,"corporation":false,"usgs":false,"family":"Jordan","given":"David A.","affiliations":[],"preferred":false,"id":781495,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leef, Morgan L.","contributorId":222201,"corporation":false,"usgs":false,"family":"Leef","given":"Morgan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":781496,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rourke, Mary K.","contributorId":222202,"corporation":false,"usgs":false,"family":"Rourke","given":"Mary","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":781497,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Speer, James H.","contributorId":222203,"corporation":false,"usgs":false,"family":"Speer","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":781498,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Spradlin, Carrie E.","contributorId":222204,"corporation":false,"usgs":false,"family":"Spradlin","given":"Carrie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":781499,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stevens, Jens 0000-0002-2234-1960","orcid":"https://orcid.org/0000-0002-2234-1960","contributorId":222191,"corporation":false,"usgs":true,"family":"Stevens","given":"Jens","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":781480,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stone, Jeffery R.","contributorId":222205,"corporation":false,"usgs":false,"family":"Stone","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":781500,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Van Winkle, Brian","contributorId":222206,"corporation":false,"usgs":false,"family":"Van Winkle","given":"Brian","email":"","affiliations":[],"preferred":false,"id":781501,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zeibig-Kichas, Nickolas E.","contributorId":222207,"corporation":false,"usgs":false,"family":"Zeibig-Kichas","given":"Nickolas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":781502,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70217216,"text":"70217216 - 2020 - Recent evaluation of corbicula form D distribution in the Midwest, U.S.A","interactions":[],"lastModifiedDate":"2021-01-25T17:00:24.295695","indexId":"70217216","displayToPublicDate":"2020-01-21T10:56:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5153,"text":"The American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Recent evaluation of corbicula form D distribution in the Midwest, U.S.A","docAbstract":"The genus Corbicula contains one of the most common and successful aquatic invasive species to North America. Prior to 2015 two predominant species of Corbicula were known from the United States—C. fluminea and C. largillierti, referred to as Forms A and B, respectively. Form A has spread throughout most of the U.S., while Form B is mainly contained in the Midwest and southern U.S. In 2015 a novel Corbicula, known as Form D, was discovered in the Illinois River, at Marseilles, Illinois, and was later reported from the Ohio River. Our primary objective for this study was to report additional records of Form D, with a focus on the upper Illinois River watershed. Surveys during summer 2017 verified the presence of Form D in the Tennessee and Mississippi rivers, as well as multiple new locations in the Des Plaines and Illinois rivers, where all three Corbicula forms co-exist.
","language":"English","publisher":"BioOne","doi":"10.1637/19-034","usgsCitation":"Douglass, S., Reasor, E., Tiemann, J., Stodola, A., McMurray, S.E., and Poulton, B.C., 2020, Recent evaluation of corbicula form D distribution in the Midwest, U.S.A: The American Midland Naturalist, v. 183, no. 1, p. 136-142, https://doi.org/10.1637/19-034.","productDescription":"7 p.","startPage":"136","endPage":"142","ipdsId":"IP-108298","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":382108,"type":{"id":15,"text":"Index Page"},"url":"https://bioone.org/journals/the-american-midland-naturalist/volume-183/issue-1/19-034/Recent-Evaluation-of-Corbicula-Form-D-Distribution-in-the-Midwest/10.1637/19-034.full"},{"id":382556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, kentucky, Missouri, Ohio, Tennessee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.5048828125,\n 35.94243575255426\n ],\n [\n -82.15576171875,\n 35.94243575255426\n ],\n [\n -82.15576171875,\n 42.032974332441405\n ],\n [\n -92.5048828125,\n 42.032974332441405\n ],\n [\n -92.5048828125,\n 35.94243575255426\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"183","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Douglass, Sarah","contributorId":247623,"corporation":false,"usgs":false,"family":"Douglass","given":"Sarah","email":"","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":808052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reasor, Emily","contributorId":247626,"corporation":false,"usgs":false,"family":"Reasor","given":"Emily","email":"","affiliations":[{"id":49602,"text":"Virginia Tech Shorebird Program, Department of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":808053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiemann, Jeremy S.","contributorId":229785,"corporation":false,"usgs":false,"family":"Tiemann","given":"Jeremy S.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":808054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stodola, Alison","contributorId":247627,"corporation":false,"usgs":false,"family":"Stodola","given":"Alison","email":"","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":808055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMurray, Stephen E.","contributorId":206918,"corporation":false,"usgs":false,"family":"McMurray","given":"Stephen","email":"","middleInitial":"E.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":808056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":808057,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228142,"text":"70228142 - 2020 - Looking at the bigger picture: How abundance of nesting and brooding habitat influences lek-site selection by Lesser Prairie-Chickens","interactions":[],"lastModifiedDate":"2022-02-07T14:22:56.251573","indexId":"70228142","displayToPublicDate":"2020-01-21T10:30:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Looking at the bigger picture: How abundance of nesting and brooding habitat influences lek-site selection by Lesser Prairie-Chickens","docAbstract":"Lesser Prairie-Chicken (Tympanuchus pallidicinctus) populations have declined throughout most of their distribution since the mid-1980s. These declines are largely attributed to loss of habitat through the conversion and expansion of cropland, construction of oil wells and other anthropogenic features on the landscape, and grazing intensification. Changes in habitat availability and quality are seemingly having a disproportionate effect on the reproductive habitat of Lesser Prairie-Chickens, as some populations continue to decline. Nest and brood survival are crucial to population growth of Lesser Prairie-Chickens, with adequate reproductive habitat vital to population persistence. To better understand the influence of reproductive habitat availability on populations, we quantified the composition of reproductive habitat in lek landscapes across the northern extent of the Lesser Prairie-Chicken range. We measured vegetation at six study sites in Kansas and Colorado from 2013–2016. We sought to quantify available nest and brooding habitat adjacent to leks, investigate the relationship between reproductive habitat availability and lek attendance by males at several spatial scales, and examine vegetation characteristics that influence lek attendance. Within 5 km of a lek, 25% (2546/10,320 points) and 26% (2682/10,320 points) of random locations provided nesting and brooding habitat, respectively. Changes to reproductive habitat at both scales affected male attendance at leks. Visual obstruction of vegetation was the main predictor of male lek attendance at both spatial scales and limited the amount of reproductive habitat in lek landscapes. Accordingly, management should increase visual obstruction throughout the Lesser Prairie-Chicken range to increase reproductive success and improve populations to facilitate achieving the conservation goal set by the Western Association of Fish and Wildlife Agencies of a 10 y average Lesser Prairie-Chicken population of 67,000 birds.
","language":"English","publisher":"University of Notre Dame","doi":"10.1637/19-020","usgsCitation":"Gehrt, J.M., Sullins, D.S., and Haukos, D.A., 2020, Looking at the bigger picture: How abundance of nesting and brooding habitat influences lek-site selection by Lesser Prairie-Chickens: American Midland Naturalist, v. 183, no. 1, p. 52-77, https://doi.org/10.1637/19-020.","productDescription":"26 p.","startPage":"52","endPage":"77","ipdsId":"IP-106539","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395437,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://bioone.org/journals/the-american-midland-naturalist/volume-183/issue-1/19-020/Looking-at-the-Bigger-Picture--How-Abundance-of-Nesting/10.1637/19-020.full"}],"country":"United States","state":"Colorado, Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.90869140625,\n 37.02886944696474\n ],\n [\n -98.646240234375,\n 37.02886944696474\n ],\n [\n -98.646240234375,\n 39.985538414809746\n ],\n [\n -103.90869140625,\n 39.985538414809746\n ],\n [\n -103.90869140625,\n 37.02886944696474\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"183","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gehrt, Jacquelyn M.","contributorId":274667,"corporation":false,"usgs":false,"family":"Gehrt","given":"Jacquelyn","email":"","middleInitial":"M.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":833208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":833209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833210,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70212638,"text":"70212638 - 2020 - Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions","interactions":[],"lastModifiedDate":"2020-08-26T21:35:46.52194","indexId":"70212638","displayToPublicDate":"2020-01-21T09:30:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions","docAbstract":"The selection and weighting of ground‐motion models (GMMs) introduces a significant source of uncertainty in U.S. Geological Survey (USGS) National Seismic Hazard Modeling Project (NSHMP) forecasts. In this study, we evaluate 18 candidate GMMs using instrumental ground‐motion observations of horizontal peak ground acceleration (PGA) and 5%‐damped pseudospectral acceleration (0.02–10 s) for tectonic earthquakes and volcanic eruptions, to inform logic‐tree weights for the update of the USGS seismic hazard model for Hawaii. GMMs are evaluated using two methods. The first is a total residual visualization approach that compares the probability density function (PDF), mean and standard deviations
Organic matter (OM) from various biogenic origins converts to solid bitumen in-situ when it undergoes thermal maturation. It is well documented that during this process, the ratios of both hydrogen and oxygen to carbon will decrease, resulting in an increase in OM aromaticity and molecular chemo-mechanical homogeneity. Although there have been extensive efforts to reveal molecular alteration occurring to OM during conversion, in-situ and continuous observation of such alterations on naturally occurring samples is missing. Therefore, evaluation of previous results cannot be made independent from natural sample variability. In this study, we identified OM particles (Tasmanites) that are evolving in-situ into solid bitumen in the Bakken Formation. This in-situ bituminization allows examination of a continuous transformation in OM molecular structure at micron-scale using AFM based IR spectroscopy applied at the transition/interface zone. Moreover, contact mode in the AFM was employed to reveal and relate changes in mechanical properties at a similar scale of measurement. Understanding these chemical and mechanical alterations is important to understand shale reservoir properties and better explain hydrocarbon generation, expulsion, and migration processes at the microscale.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2020.01.019","usgsCitation":"Abarghani, A., Ostadhassan, M., Hackley, P.C., Pomerantz, A.E., and Nejati, S., 2020, A chemo-mechanical snapshot of in-situ conversion of kerogen to petroleum: Geochimica et Cosmochimica Acta, v. 273, p. 37-50, https://doi.org/10.1016/j.gca.2020.01.019.","productDescription":"14 p.","startPage":"37","endPage":"50","ipdsId":"IP-108324","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":458069,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2020.01.019","text":"Publisher Index Page"},{"id":384580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"273","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Abarghani, Arash","contributorId":255576,"corporation":false,"usgs":false,"family":"Abarghani","given":"Arash","email":"","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":812623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostadhassan, Mehdi","contributorId":255578,"corporation":false,"usgs":false,"family":"Ostadhassan","given":"Mehdi","email":"","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":812624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pomerantz, Andrew E.","contributorId":173943,"corporation":false,"usgs":false,"family":"Pomerantz","given":"Andrew","email":"","middleInitial":"E.","affiliations":[{"id":27322,"text":"Schlumberger-Doll Research","active":true,"usgs":false}],"preferred":false,"id":812626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nejati, Siamak","contributorId":255579,"corporation":false,"usgs":false,"family":"Nejati","given":"Siamak","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":812627,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70209282,"text":"70209282 - 2020 - Antimony mobility during the early stages of stibnite weathering in tailings at the Beaver Brook Sb deposit, Newfoundland","interactions":[],"lastModifiedDate":"2020-03-27T07:26:19","indexId":"70209282","displayToPublicDate":"2020-01-21T07:23:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Antimony mobility during the early stages of stibnite weathering in tailings at the Beaver Brook Sb deposit, Newfoundland","docAbstract":"The aqueous speciation and mineralogy of antimony (Sb) in waters and tailings at Beaver Brook antimony deposit have been analyzed to understand Sb mobility during the initial stages of stibnite (Sb2S3) weathering in a near-surface environment. Dissolution of stibnite in oxidizing conditions releases Sb in drainage water and Sb is incorporated into the mineral structures of several secondary minerals. The most abundant Sb host in Beaver Brook tailings is primary stibnite, which dissolves, releasing Sb(III) to the pore water which rapidly oxidizes to Sb¬(V). The maximum concentration of Sb in tailings pore water is 26.4 mg/L and only 0.9% is in form of Sb(III). In all surface water, Sb concentration ranges from 0.01 to 26.1 mg/L (average 9.4 mg/L) and is mostly present in its Sb(V) (98.9 to 99.2 % of total Sb). The secondary minerals containing Sb formed in tailings impoundment, include tripuhyite-like Sb-Fe oxides (FeSbO4) where Sb is an important part of their structure with variable Fe/Sb ratios and Sb concentrations of up to 37.8% by weight (average of 21.7%). These are important Sb host phases in the top 30 cm of tailings. Iron oxides enriched in Sb, such as goethite (FeOOH), where Sb (average of 3.9% by weight) is adsorbed or incorporated in the structure are common but represent less than 1.3 % of the total mass of Sb. The elevated Mg concentrations in tailing ponds and pore water promote the precipitation of brandholzite (Mg[Sb(OH)6]2·6H2O) (in association with gypsum) during dry periods, which is easily dissolved during rainy periods. Brandholzite dissolution may significantly contribute to the concentration of dissolved Sb, together with stibnite dissolution, whereas Sb-Fe oxides are stable in the neutral pH, oxidized surface environment. Arsenic (As) accompanies Sb in all media but its behaviour differs from that of Sb. The source of As is arsenopyrite, which decomposes more slowly than stibnite. This may be due to the formation of oxidation rims on arsenopyrite grains composed of Fe, As, S, Sb and Ca which slow the dissolution, whereas no rims are seen on stibnite. Also, despite similar As and Sb concentration in bulk tailings, the concentration of Sb in drainage water is higher than that of As. In pore water, As(III) is the dominant oxidation state of As suggesting that the oxidation of dissolved As is slower than that of Sb.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104528","usgsCitation":"Radkova, A.B., Jamieson, H.E., and Campbell, K.M., 2020, Antimony mobility during the early stages of stibnite weathering in tailings at the Beaver Brook Sb deposit, Newfoundland: Applied Geochemistry, v. 115, 104528, 12 p., https://doi.org/10.1016/j.apgeochem.2020.104528.","productDescription":"104528, 12 p.","ipdsId":"IP-114140","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":458070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2020.104528","text":"Publisher Index Page"},{"id":373564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Newfoundland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -60.1171875,\n 46.98025235521883\n ],\n [\n -51.328125,\n 46.01222384063236\n ],\n [\n -49.04296875,\n 49.1242192485914\n ],\n [\n -56.1181640625,\n 53.09402405506325\n ],\n [\n -62.97363281249999,\n 49.55372551347579\n ],\n [\n -60.1171875,\n 46.98025235521883\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"115","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Radkova, Anezka Borcinova","contributorId":223648,"corporation":false,"usgs":false,"family":"Radkova","given":"Anezka","email":"","middleInitial":"Borcinova","affiliations":[{"id":40753,"text":"Queen's University","active":true,"usgs":false}],"preferred":false,"id":785754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jamieson, Heather E.","contributorId":150176,"corporation":false,"usgs":false,"family":"Jamieson","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":785755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":785753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208127,"text":"70208127 - 2020 - Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, Coleonyx variegatus (Squamata: Eublepharidae)","interactions":[],"lastModifiedDate":"2020-08-26T18:30:01.777358","indexId":"70208127","displayToPublicDate":"2020-01-20T16:45:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3810,"text":"Zoological Journal of the Linnean Society","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, Coleonyx variegatus (Squamata: Eublepharidae)","title":"Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, Coleonyx variegatus (Squamata: Eublepharidae)","docAbstract":"The geomorphological formation of the Baja California peninsula and the Gulf of California is a principal driver of diversification for the reptiles of North America’s warm deserts. The western banded gecko, Coleonyx variegatus, is distributed throughout the Mojave, Sonoran and Peninsular deserts. In this study we use multilocus sequence data to address deep phylogeographic structure within C. variegatus. Analyses of mtDNA data recover six divergent clades throughout the range of C. variegatus. Topology of the mtDNA gene tree suggests separate origins of peninsular populations with an older lineage in the south and a younger one in the north. In contrast, analyses of multilocus nuclear data provide support for four lineages, corresponding to the subspecies C. v. abbotti, C. v. peninsularis, C. v. sonoriensis and C. v. variegatus. Phylogenetic analyses of the nuclear data recover C. v. abbotti and C. v. peninsularis as a clade, indicating a single origin of the peninsular populations. Discordance between the nuclear and mtDNA data is largely the result of repeated episodes of mtDNA introgression that have obscured both lineage boundaries and biogeographic history. Dating analyses of the combined nuclear and mtDNA data suggest that the peninsular clade diverged from the continental group in the Late Miocene.
","language":"English","publisher":"Oxford University Press on behalf of The Linnean Society of London","doi":"10.1093/zoolinnean/zlz143","usgsCitation":"Leavitt, D.H., Hollingsworth, B., Fisher, R.N., and Reeder, T.W., 2020, Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, Coleonyx variegatus (Squamata: Eublepharidae): Zoological Journal of the Linnean Society, v. 190, no. 13, p. 181-226, https://doi.org/10.1093/zoolinnean/zlz143.","productDescription":"46 p.","startPage":"181","endPage":"226","ipdsId":"IP-113109","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":371663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Baja California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.333984375,\n 32.99023555965106\n ],\n [\n -116.54296874999999,\n 28.459033019728043\n ],\n [\n -113.99414062499999,\n 22.59372606392931\n ],\n [\n -106.962890625,\n 20.2209657795223\n ],\n [\n -105.908203125,\n 22.67484735118852\n ],\n [\n -110.302734375,\n 27.371767300523047\n ],\n [\n -114.521484375,\n 32.47269502206151\n ],\n [\n -117.333984375,\n 32.99023555965106\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"190","issue":"13","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Leavitt, Dean H","contributorId":221884,"corporation":false,"usgs":false,"family":"Leavitt","given":"Dean","email":"","middleInitial":"H","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":780624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hollingsworth, Bradford","contributorId":202768,"corporation":false,"usgs":false,"family":"Hollingsworth","given":"Bradford","affiliations":[{"id":36525,"text":"San Diego Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":780626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeder, Tod W","contributorId":221885,"corporation":false,"usgs":false,"family":"Reeder","given":"Tod","email":"","middleInitial":"W","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":780625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208905,"text":"70208905 - 2020 - Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape","interactions":[],"lastModifiedDate":"2020-03-04T15:48:45","indexId":"70208905","displayToPublicDate":"2020-01-20T15:45:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape","docAbstract":"Dunes form critical agents of bedload transport in all of the world’s big rivers, and constitute appreciable sources of bed roughness and flow resistance. Dunes also generate stratification that is the most common depositional feature of ancient riverine sediments. However, current models of dune dynamics and stratification are conditioned by bedform geometries observed in small rivers and laboratory experiments. For these dunes, the downstream lee-side is often assumed to be simple in shape and sloping at the angle of repose. Here we show, using a unique compilation of high-resolution bathymetry from a range of large rivers, that dunes are instead characterized predominantly by low-angle lee-side slopes (<10°), complex lee-side shapes with the steepest portion near the base of the lee-side slope and a height that is often only 10% of the local flow depth. This radically different shape of river dunes demands that such geometries are incorporated into predictions of flow resistance, water levels and flood risk and calls for rethinking of dune scaling relationships when reconstructing palaeoflow depths and a fundamental reappraisal of the character, and origin, of low-angle cross-stratification within interpretations of ancient alluvial sediments.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41561-019-0511-7","usgsCitation":"Cisneros, J., Best, J.L., van Dijk, T., de Almeida, R.P., Amsler, M., Boldt, J.A., Freitas, B., Galeazzi, C., Huizinga, R.J., Ianniruberto, M., Ma, H., Nittrouer, J., Oberg, K., Orfeo, O., Parsons, D., Szupiany, R.N., Wang, P., and Zhang, Y., 2020, Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape: Nature Geoscience, v. 13, no. 2, p. 156-162, https://doi.org/10.1038/s41561-019-0511-7.","productDescription":"7 p.","startPage":"156","endPage":"162","ipdsId":"IP-114604","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":467304,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41561-019-0511-7","text":"External Repository"},{"id":372925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Cisneros, Julia 0000-0001-6451-4180","orcid":"https://orcid.org/0000-0001-6451-4180","contributorId":223037,"corporation":false,"usgs":false,"family":"Cisneros","given":"Julia","email":"","affiliations":[{"id":40647,"text":"Department of Geology, University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":783906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Best, Jim L.","contributorId":147995,"corporation":false,"usgs":false,"family":"Best","given":"Jim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":783907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Dijk, Thaienne 0000-0003-1702-1142","orcid":"https://orcid.org/0000-0003-1702-1142","contributorId":223038,"corporation":false,"usgs":false,"family":"van Dijk","given":"Thaienne","email":"","affiliations":[{"id":40648,"text":"Department of Applied Geology and Geophysics, Deltares, Utrecht, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":783908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Almeida, Renato Paes","contributorId":223039,"corporation":false,"usgs":false,"family":"de Almeida","given":"Renato","email":"","middleInitial":"Paes","affiliations":[{"id":40649,"text":"Instituto de Geociencias, Universidade de Sao Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":783909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amsler, Mario","contributorId":223040,"corporation":false,"usgs":false,"family":"Amsler","given":"Mario","email":"","affiliations":[{"id":40650,"text":"Instituto Nacional de Limnologia, Santa Fe, Argentina","active":true,"usgs":false}],"preferred":false,"id":783910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boldt, Justin A. 0000-0002-0771-3658","orcid":"https://orcid.org/0000-0002-0771-3658","contributorId":207849,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - 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Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":783905,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Orfeo, Oscar","contributorId":223046,"corporation":false,"usgs":false,"family":"Orfeo","given":"Oscar","email":"","affiliations":[{"id":40654,"text":"National Scientific and Technical Research Council, Corrientes, Argentina","active":true,"usgs":false}],"preferred":false,"id":783916,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Parsons, Daniel","contributorId":216508,"corporation":false,"usgs":false,"family":"Parsons","given":"Daniel","affiliations":[{"id":39462,"text":"University of Hull, UK","active":true,"usgs":false}],"preferred":false,"id":783917,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Szupiany, Ricardo N.","contributorId":189755,"corporation":false,"usgs":false,"family":"Szupiany","given":"Ricardo","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":783918,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wang, Ping","contributorId":78646,"corporation":false,"usgs":false,"family":"Wang","given":"Ping","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":783919,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zhang, Yuanfeng","contributorId":223047,"corporation":false,"usgs":false,"family":"Zhang","given":"Yuanfeng","email":"","affiliations":[{"id":40655,"text":"Yellow River Institute of Hydraulic Research, Zhengzhou, P. 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In this study, we examined the relationship between sea surface temperature and average date of hatching for American crocodiles (Crocodylus acutus) over a 37-year period at two nesting sites, Everglades National Park and Florida Power and Light Turkey Point Power Plant site in southern Florida. Our results indicate that hatch dates are shifting 1.5 days earlier every two years and at half that rate for the Turkey Point site, and with every 1 °C degree increase in temperature, hatching occurs about 10 days earlier in the Everglades and 6 days earlier at Turkey Point. Our results on shifting hatch dates for American crocodiles provide further details about the impacts of temperature change on crocodile life history and suggest that increased temperature may affect their phenology.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtherbio.2020.102521","usgsCitation":"Cherkiss, M., Watling, J.I., Brandt, L.A., Mazzotti, F., Linsay, J., Beauchamp, J.S., Lorenz, J., Wasilewski, J., Fujisaki, I., and Hart, K., 2020, Shifts in hatching date of American crocodile (Crocodylus acutus) in southern Florida: Journal of Thermal Biology, v. 88, 102521, 7 p., https://doi.org/10.1016/j.jtherbio.2020.102521.","productDescription":"102521, 7 p.","ipdsId":"IP-108582","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437152,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TL7CZC","text":"USGS data release","linkHelpText":"Hatch dates of American crocodile nests in Everglades National Park and Turkey Point Power Plant 1983-2016"},{"id":372024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.9140625,\n 25.13533901613099\n ],\n [\n -80.09033203125,\n 25.13533901613099\n ],\n [\n -80.09033203125,\n 26.64745870265938\n ],\n [\n -81.9140625,\n 26.64745870265938\n ],\n [\n -81.9140625,\n 25.13533901613099\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cherkiss, Michael 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Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating detection probability for Burmese Pythons with few detections and zero recapture events","docAbstract":"Detection has been a long-standing challenge to monitoring populations of cryptic herpetofauna, which often have detection probabilities that are closer to zero than one. Burmese Pythons (Python bivittatus =Python molurus bivittatus), a recent invader in the Greater Everglades Ecosystem of Florida, are cryptic snakes that have long periods of inactivity. In addition, management actions such as removal of every python encountered create challenges for estimating population size and quantifying effects of management using traditional statistical approaches. We used Bayesian analysis of data collected from 59 visual surveys (144 person-surveys) covering a total distance of 485.6 km (1185.1 person-km) and radiotelemetry to estimate detection probability for Burmese Pythons, estimates which can improve interpretation of encounter and removal data. We found that detection probability ranged from 0.0001 0.0146 depending on whether or not efforts units accounted for total human effort across multiple surveyors and statistical method used. Based on our surveys, detection probabilities for Burmese Pythons are therefore likely < 0.05, but factors such as the number of searchers or time of day may improve detection probability. Traditional capture-recapture or visual surveys are, however, unlikely to yield accurate information on Burmese Python population size or trends across time without cost-prohibitive effort. Consequently, novel method development to monitor or measure Burmese Python populations, including techniques better equipped to handle very low detection, is critically needed for informative and reliable inferences about population size or the management effects of python removal.","language":"English","publisher":"BioOne","doi":"10.1670/18-154","usgsCitation":"Nafus, M.G., Mazzotti, F., and Reed, R., 2020, Estimating detection probability for Burmese Pythons with few detections and zero recapture events: Journal of Herpetology, v. 54, no. 1, p. 24-30, https://doi.org/10.1670/18-154.","productDescription":"7 p.","startPage":"24","endPage":"30","ipdsId":"IP-102865","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":376526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":793269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":793270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":793271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208849,"text":"70208849 - 2020 - A hierarchical analysis of habitat area, connectivity, and quality on amphibian diversity across spatial scales","interactions":[],"lastModifiedDate":"2020-03-03T14:12:32","indexId":"70208849","displayToPublicDate":"2020-01-20T14:11:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical analysis of habitat area, connectivity, and quality on amphibian diversity across spatial scales","docAbstract":"Habitat fragmentation can alter species distributions and lead to reduced diversity at multiple scales. Yet, the literature describing fragmentation effects on biodiversity patterns is contradictory and inconclusive, possibly because most studies fail to integrate spatial scale into experimental designs and statistical analyses. As a result, it is difficult to extrapolate the effects of fragmentation to large-scaled systems in which conservation management is of immediate importance.\nObjectives\nTo explore the influence of fragmentation on biodiversity across scales, we (1) estimated the effects of habitat area, connectivity, and quality at both local (i.e. community) and regional (i.e. metacommunity) scales; and (2) evaluated the direction, magnitude, and precision of these effect estimates at both spatial scales. \nMethods\nWe developed a multi-region community occupancy model to analyze 13 years (2005-2017) of amphibian monitoring data within the National Capital Region, a network of U.S. National Parks.\nResults\nOverall, we found a positive effect of park size and a negative effect of isolation on species richness at the park-level (i.e. metacommunity), and generally positive effects of wetland area, connectivity, and quality on species richness at the wetland-level (i.e. community), although parameter estimates varied among species. Covariate effects were less precise, but effects sizes were larger, at the local wetland-level as compared to the larger park-level scale.\nConclusions\nOur analysis reveals how scale can mediate interpretation of results from scientific studies, which might help explain conflicting narratives concerning the impacts of fragmentation in the published literature. Our hierarchical framework can help managers and policymakers elucidate the relevant spatial scale(s) to target conservation efforts.","language":"English","publisher":"Springer","doi":"10.1007/s10980-019-00963-z","usgsCitation":"Wright, A., Campbell Grant, E.H., and Zipkin, E., 2020, A hierarchical analysis of habitat area, connectivity, and quality on amphibian diversity across spatial scales: Landscape Ecology, v. 35, p. 529-544, https://doi.org/10.1007/s10980-019-00963-z.","productDescription":"16 p.","startPage":"529","endPage":"544","ipdsId":"IP-111429","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":372875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, AD","contributorId":222951,"corporation":false,"usgs":false,"family":"Wright","given":"AD","email":"","affiliations":[{"id":40631,"text":"Michigan State","active":true,"usgs":false}],"preferred":false,"id":783626,"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":783625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipkin, EF","contributorId":222952,"corporation":false,"usgs":false,"family":"Zipkin","given":"EF","affiliations":[{"id":40631,"text":"Michigan State","active":true,"usgs":false}],"preferred":false,"id":783627,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211223,"text":"70211223 - 2020 - Influence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA","interactions":[],"lastModifiedDate":"2020-07-21T14:24:53.630793","indexId":"70211223","displayToPublicDate":"2020-01-20T13:13:06","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":"Influence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA","docAbstract":"Glyphosate is the most widely used herbicide in the United States for agricultural and non-agricultural weed control. Many studies demonstrate possible effects of glyphosate and its degradate AMPA on human and ecological health. Although glyphosate is thought to have limited mobility in soil, it is found year-round in many rivers and streams throughout the world in both agricultural and developed environments. It is vitally important to continue to increase the knowledge base of glyphosate use, distribution, transport, and impacts on human health and the environment. Here we show that glyphosate and AMPA are found in nearly all of 70 streams throughout the United States at concentrations far below human health or ecological benchmarks, with less occurrence in the Northeast and that undeveloped land, classified as such by land use near the sampling station, has lower concentrations compared to other types of land. Results also show that sites with large watersheds tend to have more AMPA than glyphosate and the opposite is true for small watersheds. Travel times and opportunity for glyphosate to degrade to AMPA and for reservoirs of AMPA to grow are greater in large watersheds. Factors that promoted quick movement of glyphosate to streams, such as subsurface tile or storm drains, sewers, overland flow from developed landscapes, and arid landscapes were associated with sites that had greater concentrations of glyphosate compared to AMPA. These results contribute contemporary information and generalized interpretations adding to the knowledge base of the fate of glyphosate on a national scale and provide a springboard for further exploration of technical processes controlling transport to streams.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.136008","usgsCitation":"Medalie, L., Baker, N.T., Shoda, M.E., Stone, W.W., Meyer, M., Stets, E.G., and Wilson, M.C., 2020, Influence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA: Science of the Total Environment, v. 707, Report: 136008, 9 p.; Data Release, https://doi.org/10.1016/j.scitotenv.2019.136008.","productDescription":"Report: 136008, 9 p.; Data Release","ipdsId":"IP-102873","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458076,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.136008","text":"Publisher Index Page"},{"id":437153,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JBWQ96","text":"USGS data release","linkHelpText":"Glyphosate and aminomethylphosphonic acid (AMPA) in National Water 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ntbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":1955,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"ntbaker@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":793263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael T. 0000-0001-6006-7985","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":205665,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":793264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":793265,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, Michaelah C. 0000-0001-7052-9506","orcid":"https://orcid.org/0000-0001-7052-9506","contributorId":229469,"corporation":false,"usgs":true,"family":"Wilson","given":"Michaelah","email":"","middleInitial":"C.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793266,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70208709,"text":"70208709 - 2020 - Genetic confirmation of a natural hybrid between a Northern Goshawk (Accipiter gentilis) and a Cooper’s Hawk (A. cooperii)","interactions":[],"lastModifiedDate":"2020-02-25T12:50:42","indexId":"70208709","displayToPublicDate":"2020-01-20T12:47:17","publicationYear":"2020","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}},"title":"Genetic confirmation of a natural hybrid between a Northern Goshawk (Accipiter gentilis) and a Cooper’s Hawk (A. cooperii)","docAbstract":"Although hybrids between captive Accipiter species are known, and hybrids between wild Accipiter species in North America have long been suspected, none have been confirmed to date. However, in 2014, a hatching year Accipiter captured at Cape May, New Jersey, during fall migration, appeared intermediate in size and plumage between a Northern Goshawk (Accipiter gentilis) and a Cooper's Hawk (A. cooperii), and was suspected to be a hybrid. We used data from mitochondrial and nuclear genes to confirm that the hawk was a hybrid female resulting from a cross between a male Cooper's Hawk and female Northern Goshawk.","language":"English","publisher":"BioONE","doi":"10.1676/1559-4491-131.4.838","usgsCitation":"Haughey, C., Nelson, A., Napier, P., Rosenfield, R.N., Sonsthagen, S.A., and Talbot, S.L., 2020, Genetic confirmation of a natural hybrid between a Northern Goshawk (Accipiter gentilis) and a Cooper’s Hawk (A. cooperii): Wilson Journal of Ornithology, v. 131, no. 4, p. 838-844, https://doi.org/10.1676/1559-4491-131.4.838.","productDescription":"7 p.","startPage":"838","endPage":"844","ipdsId":"IP-096302","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":372630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Cape May","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.03662109375,\n 38.91027022759443\n ],\n [\n -74.66583251953125,\n 38.91027022759443\n ],\n [\n -74.66583251953125,\n 39.17052936145295\n ],\n [\n -75.03662109375,\n 39.17052936145295\n ],\n [\n -75.03662109375,\n 38.91027022759443\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haughey, Christy 0000-0002-4846-6008","orcid":"https://orcid.org/0000-0002-4846-6008","contributorId":220547,"corporation":false,"usgs":true,"family":"Haughey","given":"Christy","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":783109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Arthur","contributorId":222768,"corporation":false,"usgs":false,"family":"Nelson","given":"Arthur","affiliations":[{"id":40596,"text":"Cape May Raptor Banding Project","active":true,"usgs":false}],"preferred":false,"id":783110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Napier, Paul","contributorId":222769,"corporation":false,"usgs":false,"family":"Napier","given":"Paul","email":"","affiliations":[{"id":40596,"text":"Cape May Raptor Banding Project","active":true,"usgs":false}],"preferred":false,"id":783111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenfield, R. N.","contributorId":222770,"corporation":false,"usgs":false,"family":"Rosenfield","given":"R.","email":"","middleInitial":"N.","affiliations":[{"id":40597,"text":"Department of Biology, University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":783112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":783113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":783108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208329,"text":"70208329 - 2020 - A revised Holocene coral sea-level database from the Florida reef tract, USA","interactions":[],"lastModifiedDate":"2020-02-04T11:30:46","indexId":"70208329","displayToPublicDate":"2020-01-20T11:27:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"A revised Holocene coral sea-level database from the Florida reef tract, USA","docAbstract":"The coral reefs and mangrove habitats of the south Florida region have long been\nused in sea-level studies for the western Atlantic because of their broad geographic\nextent and composition of sea-level tracking biota. The data from this region have\nbeen used to support several very different Holocene sea-level reconstructions (SLRs)\nover the years. However, many of these SLRs did not incorporate all available coral-based\ndata, in part because detailed characterizations necessary for inclusion into\nsea-level databases were lacking. Here, we present an updated database comprised\nof 303 coral samples from published sources that we extensively characterized for\nthe first time. The data were carefully screened by evaluating and ranking the visual\ntaphonomic characteristics of every dated sample within the database, which resulted\nin the identification of 134 high-quality coral samples for consideration as suitable\nsea-level indicators. We show that our database largely agrees with the most recent\nSLR for south Florida over the last ~7,000 years; however, the early Holocene remains\npoorly characterized because there are few high-quality data spanning this period.\nSuggestions to refine future Holocene SLRs in the region are provided including\nfilling spatial and temporal data gaps of coral samples, particularly from the early\nHolocene, as well as constructing a more robust peat database to better constrain sea-level\nvariability during the middle to late Holocene. Our database and taphonomic-ranking\nprotocol provide a framework for researchers to evaluate data-selection\ncriteria depending on the robustness of their sea-level models.","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.8350","usgsCitation":"Stathakopoulos, A., Riegl, B.M., and Toth, L., 2020, A revised Holocene coral sea-level database from the Florida reef tract, USA: PeerJ, v. 8, e8350, 31 p., https://doi.org/10.7717/peerj.8350.","productDescription":"e8350, 31 p.","ipdsId":"IP-101550","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458081,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.8350","text":"Publisher Index Page"},{"id":437154,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98QFBJ3","text":"USGS data release","linkHelpText":"South Florida Holocene Coral Sea-level Database"},{"id":372008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.167236328125,\n 25.839449402063185\n ],\n [\n -80.299072265625,\n 25.730632525531913\n ],\n [\n -80.364990234375,\n 25.443274612305746\n ],\n [\n -80.6396484375,\n 25.105497373014686\n ],\n [\n -81.01318359375,\n 24.896402266558727\n ],\n [\n -82.001953125,\n 24.816653556469955\n ],\n [\n -82.12280273437499,\n 24.587090339209634\n ],\n [\n -81.7822265625,\n 24.347096633808512\n ],\n [\n -81.10107421874999,\n 24.44714958973082\n ],\n [\n -80.5517578125,\n 24.676969798202656\n ],\n [\n -80.0244140625,\n 25.21488107113259\n ],\n [\n -79.95849609375,\n 25.780107118422244\n ],\n [\n -80.167236328125,\n 25.839449402063185\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":781428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riegl, Bernhard M 0000-0002-6003-9324","orcid":"https://orcid.org/0000-0002-6003-9324","contributorId":222162,"corporation":false,"usgs":false,"family":"Riegl","given":"Bernhard","email":"","middleInitial":"M","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":781429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":781430,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228035,"text":"70228035 - 2020 - Breeding and diet of White-tailed Kites (Elanus leucurus) in the Texas panhandle","interactions":[],"lastModifiedDate":"2022-02-03T16:23:47.524057","indexId":"70228035","displayToPublicDate":"2020-01-20T10:20:23","publicationYear":"2020","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":"Breeding and diet of White-tailed Kites (Elanus leucurus) in the Texas panhandle","title":"Breeding and diet of White-tailed Kites (Elanus leucurus) in the Texas panhandle","docAbstract":"White-tailed Kites (Elanus leucurus) are grassland raptors that typically breed along coastal regions, particularly in California, southeastern Texas, and southern Florida. This species is irregular in the Texas panhandle, with few confirmed breeding and sighting records. We describe the first breeding record in Lubbock County, Texas, in which a pair of adults successfully raised 2 young in 2017 and may have returned and nested in 2018. Evaluation of cast pellets suggested dietary composition primarily consisted of diurnal rodents. Additionally, we compiled published and unpublished sighting and breeding records for the region and discovered reports for 2 nearby counties (Crosby and Kent counties, Texas) where White-tailed Kites have nested over multiple years, as well as several more counties with sighting records. Our data indicate that the southern extent of the Texas panhandle is now part of the species' breeding or “rare” range.
","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/1559-4491-131.4.844","usgsCitation":"Watson, K., Greene, D.U., and Boal, C.W., 2020, Breeding and diet of White-tailed Kites (Elanus leucurus) in the Texas panhandle: Wilson Journal of Ornithology, v. 131, no. 4, p. 844-849, https://doi.org/10.1676/1559-4491-131.4.844.","productDescription":"6 p.","startPage":"844","endPage":"849","ipdsId":"IP-096826","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.040771484375,\n 34.20725938207231\n ],\n [\n -99.964599609375,\n 34.20725938207231\n ],\n [\n -99.964599609375,\n 36.491973470593685\n ],\n [\n -103.040771484375,\n 36.491973470593685\n ],\n [\n -103.040771484375,\n 34.20725938207231\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Katheryn","contributorId":274370,"corporation":false,"usgs":false,"family":"Watson","given":"Katheryn","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":832941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, Daniel U.","contributorId":274371,"corporation":false,"usgs":false,"family":"Greene","given":"Daniel","email":"","middleInitial":"U.","affiliations":[{"id":56610,"text":"Weyerhaeuser Company","active":true,"usgs":false}],"preferred":false,"id":832942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215131,"text":"70215131 - 2020 - Along-strike segmentation in the northern Caribbean plate boundary zone (Hispaniola sector): Tectonic implications","interactions":[],"lastModifiedDate":"2020-10-08T13:07:43.276461","indexId":"70215131","displayToPublicDate":"2020-01-20T08:04:47","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Along-strike segmentation in the northern Caribbean plate boundary zone (Hispaniola sector): Tectonic implications","docAbstract":"The North American (NOAM) plate converges with the Caribbean (CARIB) plate at a rate of 20.0 ± 0.4 mm/yr. towards 254 ± 1°. Plate convergence is highly oblique (20–10°), resulting in a complex crustal boundary with along-strike segmentation, strain partitioning and microplate tectonics. We study the oblique convergence of the NOAM and CARIB plates between southeastern Cuba to northern Puerto Rico using new swath multibeam bathymetry data and 2D multi-channel seismic profiles. The combined interpretation of marine geophysical data with the seismicity and geodetic data from public databases allow us to perform a regional scale analysis of the shallower structure, the seismotectonics and the slab geometry along the plate boundary. Due to differential rollback between the NOAM oceanic crust north of Puerto Rico and the relative thicker Bahamas Carbonate Province crust north of Hispaniola a slab tear is created at 68.5°W. The northern margin of Puerto Rico records the oblique high-dip subduction and rollback of the NOAM plate below the island arc. Those processes have resulted in a forearc transpressive tectonics (without strain partitioning), controlled by the Septentrional-Oriente Fault Zone (SOFZ) and the Bunce Fault Zone (BFZ). Meanwhile, in the northern margin of Hispaniola, the collision of the Bahamas Carbonate Province results in high plate coupling with strain partitioning: SOFZ and Northern Hispaniola Deformed Belt (NHDB). In the northern Haitian margin, compression is still relevant since seismicity is mostly associated with the deformation front, whereas strike slip earthquakes are hardly anecdotal. Although in Hispaniola intermediate-depth seismicity should disappear, diffuse intermediate-depth hypocenter remains evidencing the presence of remnant NOAM subducted slab below central and western Hispaniola. Results of this study improve our understanding of the active tectonics in the NE Caribbean that it is the base for future assessment studies on seismic and tsunamigenic hazard.
Ecosystem-scale examination of fish communities typically involves creating spatio-temporally explicit relative abundance distribution maps using data from multiple fishery-independent surveys. However, sampling performance varies by vessel and sampling gear, which may influence estimated species distribution patterns. Using GAMMs, the effect of different gear–vessel combinations on relative abundance estimates at length was investigated using European fisheries-independent groundfish survey data. We constructed a modelling framework for evaluating relative efficiency of multiple gear–vessel combinations. 19 northeast Atlantic surveys for 254 species-length combinations were examined. Space-time variables explained most of the variation in catches for 181/254 species-length cases, indicating that for many species, models successfully characterized distribution patterns when combining data from disparate surveys. Variables controlling for gear efficiency explained substantial variation in catches for 127/254 species-length data sets. Models that fail to control for gear efficiencies across surveys can mask changes in the spatial distribution of species. Estimated relative differences in catch efficiencies grouped strongly by gear type, but did not exhibit a clear pattern across species’ functional forms, suggesting difficulty in predicting the potential impact of gear efficiency differences when combining survey data to assess species’ distributions and highlighting the importance of modelling approaches that can control for gear differences.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/icesjms/fsz254","usgsCitation":"Moriarty, M., Pedreschi, D., Smeltz, T., Sethi, S., Harris, B., McGonigle, C., Wolf, N., and Greenstreet, S.P., 2020, Combining fisheries surveys to inform marine species distribution modelling: ICES Journal of Marine Science, v. 77, no. 2, p. 539-552, https://doi.org/10.1093/icesjms/fsz254.","productDescription":"14 p.","startPage":"539","endPage":"552","ipdsId":"IP-105454","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":458088,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/icesjms/fsz254","text":"Publisher Index Page"},{"id":388943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ireland, United Kingdom","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -11.601562500000007,\n 48.66194284607008\n ],\n [\n 9.140624999999993,\n 48.66194284607008\n ],\n [\n 9.140624999999993,\n 60.21799073323445\n ],\n [\n -11.601562500000007,\n 60.21799073323445\n ],\n [\n -11.601562500000007,\n 48.66194284607008\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Moriarty, Meadhbh","contributorId":265399,"corporation":false,"usgs":false,"family":"Moriarty","given":"Meadhbh","email":"","affiliations":[{"id":54679,"text":"Ulster University","active":true,"usgs":false}],"preferred":false,"id":822702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pedreschi, Debbi","contributorId":265400,"corporation":false,"usgs":false,"family":"Pedreschi","given":"Debbi","email":"","affiliations":[{"id":54680,"text":"Marine Institute, Galway, Ireland","active":true,"usgs":false}],"preferred":false,"id":822703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smeltz, T. Scott","contributorId":265401,"corporation":false,"usgs":false,"family":"Smeltz","given":"T. Scott","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":822704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harris, Bradley P.","contributorId":265402,"corporation":false,"usgs":false,"family":"Harris","given":"Bradley P.","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":822706,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGonigle, Chris","contributorId":265403,"corporation":false,"usgs":false,"family":"McGonigle","given":"Chris","affiliations":[{"id":54679,"text":"Ulster University","active":true,"usgs":false}],"preferred":false,"id":822707,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wolf, Nathan","contributorId":265404,"corporation":false,"usgs":false,"family":"Wolf","given":"Nathan","affiliations":[{"id":54682,"text":"Alaska Pacific Unversity","active":true,"usgs":false}],"preferred":false,"id":822708,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greenstreet, Simon P.R.","contributorId":265405,"corporation":false,"usgs":false,"family":"Greenstreet","given":"Simon","email":"","middleInitial":"P.R.","affiliations":[{"id":54683,"text":"Marine Scotland Science","active":true,"usgs":false}],"preferred":false,"id":822709,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70220395,"text":"70220395 - 2020 - Marine latitudinal diversity gradients, niche conservatism and out of the tropics and Arctic: Climatic sensitivity of small organisms","interactions":[],"lastModifiedDate":"2021-05-11T12:12:03.04564","indexId":"70220395","displayToPublicDate":"2020-01-20T07:03:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Marine latitudinal diversity gradients, niche conservatism and out of the tropics and Arctic: Climatic sensitivity of small organisms","docAbstract":"The latitudinal diversity gradient (LDG) is a consequence of evolutionary and ecological mechanisms acting over long history, and thus is best investigated with organisms that have rich fossil records. However, combined neontological‐palaeontological investigations are mostly limited to large, shelled invertebrates, which keeps our mechanistic understanding of LDGs in its infancy. This paper aims to describe the modern meiobenthic ostracod LDG and to explore the possible controlling factors and the evolutionary mechanisms of this large‐scale biodiversity pattern.
Present‐day Western North Atlantic.
Ostracoda.
We compiled ostracod census data from shallow‐marine environments of the western North Atlantic Ocean. Using these data, we documented the marine LDG with multiple metrics of alpha, beta (nestedness and turnover) and gamma diversity, and we tested whether macroecological patterns could be governed by different environmental factors, including temperature, salinity, dissolved oxygen, pH and primary productivity. We also explored the geologic age distribution of ostracod genera to investigate the evolutionary mechanisms underpinning the LDG.
Our results show that temperature and climatic niche conservatism are important in setting LDGs of these small, poorly dispersing organisms. We also found evidence for some dispersal‐driven spatial dynamics in the ostracod LDG. Compared to patterns observed in marine bivalves, however, dispersal dynamics were weaker and they were bi‐directional, rather than following the ‘out‐of‐the‐tropics’ model.
Our detailed analyses revealed that meiobenthic organisms, which comprise two‐thirds of marine diversity, do not always follow the same rules as larger, better‐studied organisms. Our findings suggest that the understudied majority of biodiversity may be more sensitive to climate than well‐studied, large organisms. This implies that the impacts of ongoing Anthropocene climatic change on marine ecosystems may be much more serious than presently thought.
Effective resource management depends on our ability to partition diversity into biologically meaningful units. Recent evolutionary divergence, however, can often lead to ambiguity in morphological and genetic differentiation, complicating the delineation of valid conservation units. Such is the case with the \"coregonine problem,\" where recent postglacial radiations of coregonines into lacustrine habitats resulted in the evolution of numerous species flocks, often with ambiguous taxonomy. The application of genomics methods is beginning to shed light on this problem and the evolutionary mechanisms underlying divergence in these ecologically and economically important fishes. Here, we used restriction site-associated DNA (RAD) sequencing to examine genetic diversity and differentiation among sympatric forms in the Coregonus artedi complex in the Apostle Islands of Lake Superior, the largest lake in the Laurentian Great Lakes. Using 29,068 SNPs, we were able to clearly distinguish among the three most common forms for the first time, as well as identify putative hybrids and potentially misidentified specimens. Population assignment rates for these forms using our RAD data were 93%-100% with the only mis-assignments arising from putative hybrids, an improvement from 62% to 77% using microsatellites. Estimates of pairwise differentiation (F ST: 0.045-0.056) were large given the detection of hybrids, suggesting that reduced fitness of hybrid individuals may be a potential mechanism for the maintenance of differentiation. We also used a newly built C. artedi linkage map to look for islands of genetic divergence among forms and found widespread differentiation across the genome, a pattern indicative of long-term drift, suggesting that these forms have been reproductively isolated for a substantial amount of time. The results of this study provide valuable information that can be applied to develop well-informed management strategies and stress the importance of re-evaluating conservation units with genomic tools to ensure they accurately reflect species diversity.
","language":"English","publisher":"National Library of Medicine","doi":"10.1111/eva.12919","usgsCitation":"Ackiss, A., Larson, W., and Stott, W., 2020, Genotyping-by-sequencing illuminates high levels of divergence among sympatric forms of coregonines in the Laurentian Great Lakes: Evolutionary Applications, v. 13, no. 5, p. 1037-1054, https://doi.org/10.1111/eva.12919.","productDescription":"18 p.","startPage":"1037","endPage":"1054","ipdsId":"IP-111482","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487600,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12919","text":"Publisher Index Page"},{"id":481457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.95944256375668,\n 47.144330692090534\n ],\n [\n -90.95944256375668,\n 46.58094569283301\n ],\n [\n -90.38815350125653,\n 46.58094569283301\n ],\n [\n -90.38815350125653,\n 47.144330692090534\n ],\n [\n -90.95944256375668,\n 47.144330692090534\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Ackiss, Amanda S.","contributorId":350148,"corporation":false,"usgs":false,"family":"Ackiss","given":"Amanda S.","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":925444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":925443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stott, Wendylee wstott@usgs.gov","contributorId":3763,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","email":"wstott@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":925445,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211908,"text":"70211908 - 2020 - Disentangling the potential effects of land-use and climate change on stream conditions","interactions":[],"lastModifiedDate":"2021-07-02T13:41:08.444328","indexId":"70211908","displayToPublicDate":"2020-01-19T13:33:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling the potential effects of land-use and climate change on stream conditions","docAbstract":"Land‐use and climate change are significantly affecting stream ecosystems, yet understanding of their long‐term impacts is hindered by the few studies that have simultaneously investigated their interaction and high variability among future projections. We modeled possible effects of a suite of 2030, 2060, and 2090 land‐use and climate scenarios on the condition of 70,772 small streams in the Chesapeake Bay watershed, United States. The Chesapeake Basin‐wide Index of Biotic Integrity, a benthic macroinvertebrate multimetric index, was used to represent stream condition. Land‐use scenarios included four Special Report on Emissions Scenarios (A1B, A2, B1, and B2) representing a range of potential landscape futures. Future climate scenarios included quartiles of future climate changes from downscaled Coupled Model Intercomparison Project ‐ Phase 5 (CMIP5) and a watershed‐wide uniform scenario (Lynch2016). We employed random forests analysis to model individual and combined effects of land‐use and climate change on stream conditions. Individual scenarios suggest that by 2090, watershed‐wide conditions may exhibit anywhere from large degradations (e.g., scenarios A1B, A2, and the CMIP5 25th percentile) to small degradations (e.g., scenarios B1, B2, and Lynch2016). Combined land‐use and climate change scenarios highlighted their interaction and predicted, by 2090, watershed‐wide degradation in 16.2% (A2 CMIP5 25th percentile) to 1.0% (B2 Lynch2016) of stream kilometers. A goal for the Chesapeake Bay watershed is to restore 10% of stream kilometers over a 2008 baseline; our results suggest meeting and sustaining this goal until 2090 may require improvement in 11.0%–26.2% of stream kilometers, dependent on land‐use and climate scenario. These results highlight inherent variability among scenarios and the resultant uncertainty of predicted conditions, which reinforces the need to incorporate multiple scenarios of both land‐use (e.g., development, agriculture, etc.) and climate change in future studies to encapsulate the range of potential future conditions.
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