{"pageNumber":"649","pageRowStart":"16200","pageSize":"25","recordCount":165813,"records":[{"id":70208334,"text":"70208334 - 2020 - Shifts in hatching date of American crocodile (Crocodylus acutus) in southern Florida","interactions":[],"lastModifiedDate":"2020-03-11T15:17:12","indexId":"70208334","displayToPublicDate":"2020-01-20T15:17:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2476,"text":"Journal of Thermal Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Shifts in hatching date of American crocodile (Crocodylus acutus) in southern Florida","title":"Shifts in hatching date of American crocodile (Crocodylus acutus) in southern Florida","docAbstract":"Globally temperature of marine environments is on the rise and temperature plays an important role in the life-history of reptiles. 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 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222174,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":781453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watling, James I.","contributorId":175275,"corporation":false,"usgs":false,"family":"Watling","given":"James","email":"","middleInitial":"I.","affiliations":[{"id":27555,"text":"John Carroll University","active":true,"usgs":false}],"preferred":false,"id":781454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":781455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":781456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Linsay, Jim","contributorId":222176,"corporation":false,"usgs":false,"family":"Linsay","given":"Jim","email":"","affiliations":[{"id":40502,"text":"Florida Power and Light Company","active":true,"usgs":false}],"preferred":false,"id":781457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beauchamp, Jeffrey S.","contributorId":138880,"corporation":false,"usgs":false,"family":"Beauchamp","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":12559,"text":"University of Florida, FLEC","active":true,"usgs":false}],"preferred":false,"id":781458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorenz, Jerome J.","contributorId":20062,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jerome J.","affiliations":[],"preferred":false,"id":781459,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wasilewski, Joseph","contributorId":222178,"corporation":false,"usgs":false,"family":"Wasilewski","given":"Joseph","email":"","affiliations":[{"id":40502,"text":"Florida Power and Light Company","active":true,"usgs":false}],"preferred":false,"id":781460,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":781461,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222179,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":781462,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70211225,"text":"70211225 - 2020 - Estimating detection probability for Burmese Pythons with few detections and zero recapture events","interactions":[],"lastModifiedDate":"2020-07-21T14:32:45.799268","indexId":"70211225","displayToPublicDate":"2020-01-20T14:57:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal 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":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","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":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":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","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":466,"text":"New England 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":27231,"text":"Indiana-Kentucky 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":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.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2020.228322","usgsCitation":"Rodriguez-Zurrunero, A., Granja-Bruna, J.L., Muñoz-Martín, A., LeRoy, S., ten Brink, U., Gorosabel-Araus, J., Gomez de la Pena, L., Druet, M., and Carbo- Gorosabel, A., 2020, Along-strike segmentation in the northern Caribbean plate boundary zone (Hispaniola sector): Tectonic implications: Tectonophysics, v. 776, 228322, 35 p., https://doi.org/10.1016/j.tecto.2020.228322.","productDescription":"228322, 35 p.","ipdsId":"IP-114145","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458086,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tecto.2020.228322","text":"Publisher Index Page"},{"id":379221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Haiti, Dominican Republic, Puerto Rico, Jamaica","otherGeospatial":"Caribbean Plate","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.6181640625,\n 13.923403897723347\n ],\n [\n -64.2919921875,\n 13.923403897723347\n ],\n [\n -64.2919921875,\n 21.248422235627014\n ],\n [\n -78.6181640625,\n 21.248422235627014\n ],\n [\n -78.6181640625,\n 13.923403897723347\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"776","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rodriguez-Zurrunero, A.","contributorId":242837,"corporation":false,"usgs":false,"family":"Rodriguez-Zurrunero","given":"A.","email":"","affiliations":[{"id":48550,"text":"Applied Tectonophysics Group. Department of Geodynamics, Stratigraphy and Paleontology. Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":800957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granja-Bruna, J. L.","contributorId":242838,"corporation":false,"usgs":false,"family":"Granja-Bruna","given":"J.","email":"","middleInitial":"L.","affiliations":[{"id":48550,"text":"Applied Tectonophysics Group. Department of Geodynamics, Stratigraphy and Paleontology. Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":800958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muñoz-Martín, A.","contributorId":242839,"corporation":false,"usgs":false,"family":"Muñoz-Martín","given":"A.","affiliations":[{"id":48550,"text":"Applied Tectonophysics Group. Department of Geodynamics, Stratigraphy and Paleontology. Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":800959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeRoy, Sarah","contributorId":147836,"corporation":false,"usgs":false,"family":"LeRoy","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":800960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":800961,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gorosabel-Araus, J.M.","contributorId":242840,"corporation":false,"usgs":false,"family":"Gorosabel-Araus","given":"J.M.","email":"","affiliations":[{"id":48550,"text":"Applied Tectonophysics Group. Department of Geodynamics, Stratigraphy and Paleontology. Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":800962,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomez de la Pena, L.","contributorId":242841,"corporation":false,"usgs":false,"family":"Gomez de la Pena","given":"L.","email":"","affiliations":[{"id":48553,"text":"GEOMAR Helmholtz Centre of Ocean Research, Kiel, Germany.","active":true,"usgs":false}],"preferred":false,"id":800963,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Druet, M","contributorId":242842,"corporation":false,"usgs":false,"family":"Druet","given":"M","email":"","affiliations":[{"id":48554,"text":"Instituto Geológico y Minero de España, Tres Cantos, Madrid. Spain.","active":true,"usgs":false}],"preferred":false,"id":800964,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carbo- Gorosabel, A.","contributorId":242843,"corporation":false,"usgs":false,"family":"Carbo- Gorosabel","given":"A.","email":"","affiliations":[{"id":48550,"text":"Applied Tectonophysics Group. Department of Geodynamics, Stratigraphy and Paleontology. Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":800965,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70223786,"text":"70223786 - 2020 - Combining fisheries surveys to inform marine species distribution modelling","interactions":[],"lastModifiedDate":"2021-09-08T12:59:30.24106","indexId":"70223786","displayToPublicDate":"2020-01-20T07:55:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1936,"text":"ICES Journal of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Combining fisheries surveys to inform marine species distribution modelling","docAbstract":"

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":"

Aim

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.

Location

Present‐day Western North Atlantic.

Taxon

Ostracoda.

Methods

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.

Results

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.

Main conclusions

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.

","language":"English","publisher":"Wiley","doi":"10.1111/jbi.13793","usgsCitation":"Chiu, W.R., Yasuhara, M., Cronin, T.M., Hunt, G., Gemery, L., and Wei, C., 2020, Marine latitudinal diversity gradients, niche conservatism and out of the tropics and Arctic: Climatic sensitivity of small organisms: Journal of Biogeography, v. 47, no. 4, p. 817-828, https://doi.org/10.1111/jbi.13793.","productDescription":"12 p.","startPage":"817","endPage":"828","ipdsId":"IP-101831","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":385563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Chiu, Wing-Tung Ruby","contributorId":257972,"corporation":false,"usgs":false,"family":"Chiu","given":"Wing-Tung","email":"","middleInitial":"Ruby","affiliations":[],"preferred":false,"id":815431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yasuhara, Moriaki","contributorId":178705,"corporation":false,"usgs":false,"family":"Yasuhara","given":"Moriaki","email":"","affiliations":[],"preferred":false,"id":815432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":815391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Gene","contributorId":178704,"corporation":false,"usgs":false,"family":"Hunt","given":"Gene","email":"","affiliations":[],"preferred":false,"id":815433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gemery, Laura 0000-0003-1966-8732 lgemery@usgs.gov","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":5402,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","email":"lgemery@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":815434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, Chih‐Lin","contributorId":257973,"corporation":false,"usgs":false,"family":"Wei","given":"Chih‐Lin","affiliations":[],"preferred":false,"id":815435,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70249384,"text":"70249384 - 2020 - Quantifying western U.S. rangelands as fractional components with multi-resolution remote sensing and in situ data","interactions":[],"lastModifiedDate":"2024-05-16T14:17:08.092399","indexId":"70249384","displayToPublicDate":"2020-01-20T07:00:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying western U.S. rangelands as fractional components with multi-resolution remote sensing and in situ data","docAbstract":"
Quantifying western U.S. rangelands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. Nine rangeland ecosystem components, including percent shrub, sagebrush (Artemisia), big sagebrush, herbaceous, annual herbaceous, litter, and bare ground cover, along with sagebrush and shrub heights, were quantified at 30 m resolution. Extensive ground measurements, two scales of remote sensing data from commercial high-resolution satellites and Landsat 8, and regression tree models were used to create component predictions. In the mapped area (2,993,655 km²), bare ground averaged 45.5%, shrub 15.2%, sagebrush 4.3%, big sagebrush 2.9%, herbaceous 23.0%, annual herbaceous 4.2%, and litter 15.8%. Component accuracies using independent validation across all components averaged R2 values of 0.46 and an root mean squared error (RMSE) of 10.37, and cross-validation averaged R2 values of 0.72 and an RMSE of 5.09. Component composition strongly varies by Environmental Protection Agency (EPA) level III ecoregions (n = 32): 17 are bare ground dominant, 11 herbaceous dominant, and four shrub dominant. Sagebrush physically covers 90,950 km², or 4.3%, of our study area, but is present in 883,449 km², or 41.5%, of the mapped portion of our study area.
","language":"English","publisher":"MDPI","doi":"10.3390/rs12030412","usgsCitation":"Rigge, M., Homer, C., Cleeves, L., Meyer, D., Bunde, B., Shi, H., Xian, G.Z., and Bobo, M.R., 2020, Quantifying western U.S. rangelands as fractional components with multi-resolution remote sensing and in situ data: Remote Sensing, v. 12, no. 3, 412, 26 p., https://doi.org/10.3390/rs12030412.","productDescription":"412, 26 p.","ipdsId":"IP-097596","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":458091,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12030412","text":"Publisher Index Page"},{"id":421669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, North Dakota, Oregon, South Dakota, Utah, Texas, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126.64737991483358,\n 50.2281194336924\n ],\n [\n -126.64737991483358,\n 28.766650583257572\n ],\n [\n -100.88632287724539,\n 28.766650583257572\n ],\n [\n -100.88632287724539,\n 50.2281194336924\n ],\n [\n -126.64737991483358,\n 50.2281194336924\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Rigge, Matthew 0000-0003-4471-8009","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":221482,"corporation":false,"usgs":false,"family":"Rigge","given":"Matthew","affiliations":[{"id":40392,"text":"Contractor; Earth Resources Observation and Science Center","active":true,"usgs":false}],"preferred":false,"id":885423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin 0000-0003-4755-8135","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":238918,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":885424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleeves, Lauren","contributorId":221860,"corporation":false,"usgs":false,"family":"Cleeves","given":"Lauren","email":"","affiliations":[{"id":12586,"text":"Consultant","active":true,"usgs":false}],"preferred":false,"id":885425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Deb 0000-0002-8841-697X","orcid":"https://orcid.org/0000-0002-8841-697X","contributorId":288363,"corporation":false,"usgs":false,"family":"Meyer","given":"Deb","affiliations":[{"id":61730,"text":"Retired, KBR","active":true,"usgs":false}],"preferred":false,"id":885426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bunde, Brett 0000-0003-0228-779X","orcid":"https://orcid.org/0000-0003-0228-779X","contributorId":288364,"corporation":false,"usgs":false,"family":"Bunde","given":"Brett","affiliations":[{"id":61731,"text":"KBR","active":true,"usgs":false}],"preferred":false,"id":885427,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":302265,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":885428,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":885429,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bobo, Matthew R","contributorId":217910,"corporation":false,"usgs":false,"family":"Bobo","given":"Matthew","email":"","middleInitial":"R","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":885430,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70208795,"text":"70208795 - 2020 - Coal biomethanation potential of various ranks from Pakistan: A possible alternative energy source","interactions":[],"lastModifiedDate":"2020-03-02T06:54:26","indexId":"70208795","displayToPublicDate":"2020-01-20T06:49:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Coal biomethanation potential of various ranks from Pakistan: A possible alternative energy source","docAbstract":"The present study investigated the possibility of microbial transformations of coal to gas (biogasification) as an alternative to conventional coal mining because this approach has the potential to be less expensive, cleaner, and providinge greater access to deeper coal resources. Biogasification is often associated with low rank coal such as lignite and subbituminous coal that hasve produced enough coalbed methane to be commercially viable in the United States and Australia. However, little work has been done to analyze the potential of biogasification in higher rank coal. For this purpose, bioassay using a wetland-derived consortium, and a coal-derived consortium were used to analyze coal samples from Pakistan belonging to different ranks (lignite to semi-anthracite). Among all samples a low volatile bituminous coal produced the maximum methane 34.95 µmol CH4/g coal with the wetland-derived microbial consortium, followed by subbituminous coal (30.18 µmol CH4/g coal). Lower methane levels were recorded with the coal-derived consortium, with subbituminous coal yielding the highest concentration (25.1 µmol CH4/g coal). Methane levels appeared to be increasing on the last measurement indicating the coal-derived consortium was slower than the wetland-derived consortium but could still catalyze biogasification in higher rank coals. Quantitative polymerase chain reaction analysis for mcrA functional genes suggested indicated that the microbial community members that produce methane (methanogens) varied during the incubations. Energy conversion efficiency of different strategies (other biological and underground coal gasification processes) was also compared and discussed. This study was the first to compare bioassay using consortia of microbes non-indigenous and indigenous to coal and indicate the potential of biogasification from many different coalbeds across Pakistan.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jclepro.2020.120177","usgsCitation":"Malik, A.Y., Ishtiaq Ali, M., Jamal, A., Farooq, U., Khatoon, N., Orem, W.H., Barnhart, E.P., SanFilipo, J., He, H., and Huang, Z., 2020, Coal biomethanation potential of various ranks from Pakistan: A possible alternative energy source, v. 255, 120177, 11 p., https://doi.org/10.1016/j.jclepro.2020.120177.","productDescription":"120177, 11 p.","ipdsId":"IP-104161","costCenters":[{"id":5050,"text":"WY-MT Water Science 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Malik, Aneela Y.","contributorId":222873,"corporation":false,"usgs":false,"family":"Malik","given":"Aneela","email":"","middleInitial":"Y.","affiliations":[{"id":40612,"text":"Department of Microbiology, Quaid-i-Azam University, 45320 Islamabad, Pakistan","active":true,"usgs":false}],"preferred":false,"id":783402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ishtiaq Ali, Muhammad","contributorId":222887,"corporation":false,"usgs":false,"family":"Ishtiaq Ali","given":"Muhammad","email":"","affiliations":[],"preferred":false,"id":783428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jamal, Asif","contributorId":222875,"corporation":false,"usgs":false,"family":"Jamal","given":"Asif","email":"","affiliations":[{"id":40612,"text":"Department of Microbiology, Quaid-i-Azam University, 45320 Islamabad, Pakistan","active":true,"usgs":false}],"preferred":false,"id":783404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farooq, Uzma","contributorId":222888,"corporation":false,"usgs":false,"family":"Farooq","given":"Uzma","email":"","affiliations":[],"preferred":false,"id":783429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Khatoon, Nazia","contributorId":222874,"corporation":false,"usgs":false,"family":"Khatoon","given":"Nazia","email":"","affiliations":[{"id":40612,"text":"Department of Microbiology, Quaid-i-Azam University, 45320 Islamabad, Pakistan","active":true,"usgs":false}],"preferred":false,"id":783403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":783405,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393 epbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":5385,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","email":"epbarnhart@usgs.gov","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783401,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"SanFilipo, John R.","contributorId":222876,"corporation":false,"usgs":false,"family":"SanFilipo","given":"John R.","affiliations":[],"preferred":false,"id":783406,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"He, Huan","contributorId":222878,"corporation":false,"usgs":false,"family":"He","given":"Huan","email":"","affiliations":[{"id":40614,"text":"Institute of Space Technology, 44000 Islamabad, Pakistan","active":true,"usgs":false}],"preferred":false,"id":783408,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Huang, Zaixing","contributorId":222879,"corporation":false,"usgs":false,"family":"Huang","given":"Zaixing","email":"","affiliations":[{"id":40615,"text":"Center for Biogenic Natural Gas Research, University of Wyoming, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":783409,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70208612,"text":"70208612 - 2020 - A domestic earthquake impact alert protocol based on the combined USGS PAGER and FEMA Hazus loss estimation systems","interactions":[],"lastModifiedDate":"2020-02-21T06:43:06","indexId":"70208612","displayToPublicDate":"2020-01-20T06:41:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"A domestic earthquake impact alert protocol based on the combined USGS PAGER and FEMA Hazus loss estimation systems","docAbstract":"The U.S. Geological Survey’s PAGER alert system provides rapid (10-20 min) but general loss estimates of ranges of fatalities and economic impact for significant global earthquakes. FEMA’s Hazus software, in contrast, provides time consuming (2-5 hours) but more detailed loss information quantified in terms of structural, social, and economic consequences estimated at a much higher spatial resolution for large domestic earthquakes. We developed a rapid hybrid post-earthquake product that takes advantage of the best of both loss models. First, though, we conducted a systematic comparison of loss estimates from PAGER with Hazus for all significant, relatively recent, domestic earthquakes for which adequate loss data exist — augmented by a dozen ShakeMap scenarios. The systematic comparison of Hazus and PAGER losses provided the basis for selecting the specific loss metrics to present from each system. The signature product will serve as a supplement to the widely deployed PAGER alerts product for significant domestic earthquakes.","language":"English","publisher":"SAGE","doi":"10.1177/8755293019878187","usgsCitation":"Wald, D.J., Seligson, H.A., Rozelle, J., Burns, J., Marano, K., Jaiswal, K.S., Hearne, M., and Bausch, D., 2020, A domestic earthquake impact alert protocol based on the combined USGS PAGER and FEMA Hazus loss estimation systems: Earthquake Spectra, v. 36, no. 1, p. 164-182, https://doi.org/10.1177/8755293019878187.","productDescription":"19 p.","startPage":"164","endPage":"182","ipdsId":"IP-108610","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":458094,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/8755293019878187","text":"Publisher Index Page"},{"id":372481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seligson, Hope A.","contributorId":219630,"corporation":false,"usgs":false,"family":"Seligson","given":"Hope","email":"","middleInitial":"A.","affiliations":[{"id":37660,"text":"Seligson Consulting","active":true,"usgs":false}],"preferred":false,"id":782723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rozelle, Jesse","contributorId":195192,"corporation":false,"usgs":false,"family":"Rozelle","given":"Jesse","email":"","affiliations":[{"id":30786,"text":"FEMA","active":true,"usgs":false}],"preferred":false,"id":782724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Jordan","contributorId":222623,"corporation":false,"usgs":false,"family":"Burns","given":"Jordan","email":"","affiliations":[{"id":40570,"text":"NiyamIT, Leesburg, VA","active":true,"usgs":false}],"preferred":false,"id":782725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marano, Kristin 0000-0002-0420-2748 kmarano@usgs.gov","orcid":"https://orcid.org/0000-0002-0420-2748","contributorId":207906,"corporation":false,"usgs":true,"family":"Marano","given":"Kristin","email":"kmarano@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782727,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782728,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bausch, Douglas","contributorId":222624,"corporation":false,"usgs":false,"family":"Bausch","given":"Douglas","email":"","affiliations":[{"id":40570,"text":"NiyamIT, Leesburg, VA","active":true,"usgs":false}],"preferred":false,"id":782729,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263070,"text":"70263070 - 2020 - Genotyping-by-sequencing illuminates high levels of divergence among sympatric forms of coregonines in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2025-01-29T15:54:49.330355","indexId":"70263070","displayToPublicDate":"2020-01-20T00:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Genotyping-by-sequencing illuminates high levels of divergence among sympatric forms of coregonines in the Laurentian Great Lakes","docAbstract":"

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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Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":795758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":795759,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Zachary M.","contributorId":214279,"corporation":false,"usgs":false,"family":"Smith","given":"Zachary","email":"","middleInitial":"M.","affiliations":[{"id":39005,"text":"ICPRB","active":true,"usgs":false}],"preferred":false,"id":795760,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":795761,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":795762,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70208295,"text":"70208295 - 2020 - Daily stream samples reveal highly complex pesticide occurrence and potential toxicity to aquatic life","interactions":[],"lastModifiedDate":"2021-06-01T17:26:43.193631","indexId":"70208295","displayToPublicDate":"2020-01-18T12:47:21","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":"Daily stream samples reveal highly complex pesticide occurrence and potential toxicity to aquatic life","docAbstract":"

Transient, acutely toxic concentrations of pesticides in streams can go undetected by fixed-interval sampling programs. Here we compare temporal patterns in occurrence of current-use pesticides in daily composite samples to those in weekly composite and weekly discrete samples of surface water from 14 small stream sites. Samples were collected over 10–14 weeks at 7 stream sites in each of the Midwestern and Southeastern United States. Samples were analyzed for over 200 pesticides and degradates by direct aqueous injection liquid chromatography with tandem mass spectrometry. Nearly 2 and 3 times as many unique pesticides were detected in daily samples as in weekly composite and weekly discrete samples, respectively. Based on exceedances of acute-invertebrate benchmarks (AIB) and(or) a Pesticide Toxicity Index (PTI) >1, potential acute-invertebrate toxicity was predicted at 11 of 14 sites from the results for daily composite samples, but was predicted for only 3 sites from weekly composites and for no sites from weekly discrete samples. Insecticides were responsible for most of the potential invertebrate toxicity, occurred transiently, and frequently were missed by the weekly discrete and composite samples. The number of days with benthic-invertebrate PTI ≥0.1 in daily composite samples was inversely related to Ephemeroptera, Plecoptera, and Trichoptera (EPT) richness at the sites. The results of the study indicate that short-term, potentially toxic peaks in pesticides frequently are missed by weekly discrete sampling, and that such peaks may contribute to degradation of invertebrate community condition in small streams. Weekly composite samples underestimated maximum concentrations and potential acute-invertebrate toxicity, but to a lesser degree than weekly discrete samples, and provided a reasonable approximation of the 90th percentile total concentrations of herbicides, insecticides, and fungicides, suggesting that weekly composite sampling may be a compromise between assessment needs and cost.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.136795","usgsCitation":"Norman, J.E., Mahler, B., Nowell, L.H., Van Metre, P.C., Sandstrom, M.W., Corbin, M.A., Qian, Y., Pankow, J.F., Luo, W., Fitzgerald, N.B., Asher, W.E., and McWhirter, K.J., 2020, Daily stream samples reveal highly complex pesticide occurrence and potential toxicity to aquatic life: Science of the Total Environment, v. 715, 136795, 13 p., https://doi.org/10.1016/j.scitotenv.2020.136795.","productDescription":"136795, 13 p.","ipdsId":"IP-101574","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":458098,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.136795","text":"Publisher Index Page"},{"id":437156,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N2A3LS","text":"USGS data release","linkHelpText":"Pesticides in Daily and Weekly Water Samples from the NAWQA Midwest and Southeast Stream Quality Assessments (2013-2014)"},{"id":371960,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ja/70208295/coverthb.jpg"}],"volume":"715","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Julia E. 0000-0002-2820-6225 jnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2820-6225","contributorId":3832,"corporation":false,"usgs":true,"family":"Norman","given":"Julia","email":"jnorman@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":781299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":781297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":781298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":781306,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corbin, Mark A.","contributorId":222126,"corporation":false,"usgs":false,"family":"Corbin","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":781300,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Qian, Yaorong","contributorId":176739,"corporation":false,"usgs":false,"family":"Qian","given":"Yaorong","email":"","affiliations":[],"preferred":false,"id":781301,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pankow, James F. 0000-0002-8602-9159","orcid":"https://orcid.org/0000-0002-8602-9159","contributorId":222127,"corporation":false,"usgs":false,"family":"Pankow","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":781302,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Luo, Wentai 0000-0003-3421-4958","orcid":"https://orcid.org/0000-0003-3421-4958","contributorId":222128,"corporation":false,"usgs":false,"family":"Luo","given":"Wentai","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":781303,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fitzgerald, Nicholas B.","contributorId":222131,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Nicholas","email":"","middleInitial":"B.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":781307,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Asher, William E.","contributorId":222129,"corporation":false,"usgs":false,"family":"Asher","given":"William","email":"","middleInitial":"E.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":781304,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McWhirter, Kevin J.","contributorId":222130,"corporation":false,"usgs":false,"family":"McWhirter","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":781305,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70217377,"text":"70217377 - 2020 - The transformative impact of genomics on sage-grouse conservation and management","interactions":[],"lastModifiedDate":"2021-01-20T16:21:34.219524","indexId":"70217377","displayToPublicDate":"2020-01-18T10:16:17","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The transformative impact of genomics on sage-grouse conservation and management","docAbstract":"

For over two decades, genetic studies have been used to assist in the conservation and management of both Greater Sage-grouse (Centrocercus urophasianus) and Gunnison Sage-grouse (C. minimus), addressing a wide variety of topics including taxonomy, parentage, population connectivity, and demography. The field of conservation genetics has been transformed by dramatic improvements in sequencing technology, facilitating genomic studies in many wildlife species. The quality and amount of data generated by genomic methods vastly exceed that of traditional genetic studies, allowing for increased precision in estimating genetic parameters of interest. Perhaps more importantly, genomic methods can provide insight into non-neutral evolution such as adaptive divergence. Here we recount the shift from genetic to genomic methods using two wildlife species of substantial conservation interest, focusing on the improved capabilities and advantages of genomic methods. For instance, reassessment of divergence in sage-grouse using genomic methods confirmed strong differentiation between the two species and revealed that a small population in the state of Washington was more genetically distinct than previously recognized. Further, new genomic resources and approaches have been used to identify a family of genes linked to local dietary adaptation suggesting that sage-grouse may possess digestive and metabolic adaptations that mitigate the effects of consuming plant secondary metabolites like those found in sagebrush. Genetic variation among populations in these gene regions is thought to be involved with local dietary adaptations, and therefore maintaining the tie between sage-grouse and the chemistry of local sagebrush may be an important management consideration. We posit that the integration of newly developed genomic resources combined with the vast wealth of ecological and behavioral data for sage-grouse has the potential to shed light on mechanistic relationships that ultimately are vital to the conservation and management of these species.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Population genomics: Wildlife","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/13836_2019_65","usgsCitation":"Oyler-McCance, S.J., Oh, K., Zimmerman, S., and Aldridge, C., 2020, The transformative impact of genomics on sage-grouse conservation and management, chap. of Population genomics: Wildlife, p. 523-546, https://doi.org/10.1007/13836_2019_65.","productDescription":"24 p.","startPage":"523","endPage":"546","ipdsId":"IP-094749","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":382323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":808550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oh, Kevin P","contributorId":223092,"corporation":false,"usgs":false,"family":"Oh","given":"Kevin P","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":808551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Shawna J","contributorId":139402,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Shawna J","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":808552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":213471,"corporation":false,"usgs":false,"family":"Aldridge","given":"Cameron L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":808553,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70229397,"text":"70229397 - 2020 - Effect of environmental factors on the movement of Rainbow Trout in the Deerfield Reservoir System","interactions":[],"lastModifiedDate":"2022-03-11T17:11:48.638861","indexId":"70229397","displayToPublicDate":"2020-01-18T09:49:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10384,"text":"Journal of FisheriesSciences.com","active":true,"publicationSubtype":{"id":10}},"title":"Effect of environmental factors on the movement of Rainbow Trout in the Deerfield Reservoir System","docAbstract":"

Spawning movements and the factors affecting those movements are often of interest to fisheries managers and biologists. The objective of this study was to examine the influence of environmental factors on the movements of an adfluvial Rainbow Trout Oncorhynchus mykiss population in the Black Hills, South Dakota. Three unique strains of hatchery-reared Rainbow Trout and resident Rainbow Trout were implanted with passive integrated transponder (PIT) tags and movements between Deerfield Reservoir and the Castle Creek tributary system were monitored from August, 2010-July, 2011. Initial adfluvial movements of Rainbow Trout were detected using a stationary PIT tag reader deployed near the mouth of Castle Creek. Multiple linear regressions were used to model the relationship between PIT tagged Rainbow Trout movement and water temperature, photoperiod, and discharge. Using Akaike’s information criterion (AIC) to compare models, discharge was the top supported model explaining variation in Rainbow Trout movement. Additionally, models containing temperature and photoperiod were also supported. Supported models only explained moderate levels of variation (<23%) in Rainbow Trout movement. Understanding how environmental variables affect the movement patterns of this unique population is essential in determining the proper management strategy for the Deerfield Reservoir system.

","language":"English","publisher":"IMed Pub LTD","usgsCitation":"Kientz, J., Davis, J., Chipps, S.R., and Simpson, G., 2020, Effect of environmental factors on the movement of Rainbow Trout in the Deerfield Reservoir System: Journal of FisheriesSciences.com, v. 14, no. 1, p. 1-6.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-124673","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":397026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397024,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fisheriessciences.com/fisheries-aqua/effect-of-environmental-factors-on-the-movement-of-rainbow-trout-in-the-deerfield-reservoir-system.php?aid=26132"}],"country":"United States","state":"South Dakota","otherGeospatial":"Castle Creek, Deerfield Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.8398551940918,\n 44.00158219755276\n ],\n [\n -103.8017463684082,\n 44.00158219755276\n ],\n [\n -103.8017463684082,\n 44.02726038819847\n ],\n [\n -103.8398551940918,\n 44.02726038819847\n ],\n [\n -103.8398551940918,\n 44.00158219755276\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kientz, Jeremy","contributorId":205425,"corporation":false,"usgs":false,"family":"Kientz","given":"Jeremy","email":"","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":837832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Jacob L.","contributorId":275831,"corporation":false,"usgs":false,"family":"Davis","given":"Jacob L.","affiliations":[{"id":56698,"text":"South Dakota Department of Game, Fish, and Parks","active":true,"usgs":false}],"preferred":false,"id":837833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":837273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simpson, Gregory","contributorId":288393,"corporation":false,"usgs":false,"family":"Simpson","given":"Gregory","email":"","affiliations":[{"id":56698,"text":"South Dakota Department of Game, Fish, and Parks","active":true,"usgs":false}],"preferred":false,"id":837834,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207892,"text":"sim3449 - 2020 - High-resolution airborne geophysical survey of the Shellmound, Mississippi area","interactions":[],"lastModifiedDate":"2022-04-22T20:07:01.788312","indexId":"sim3449","displayToPublicDate":"2020-01-17T16:20:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3449","displayTitle":"High-Resolution Airborne Geophysical Survey of the Shellmound, Mississippi Area","title":"High-resolution airborne geophysical survey of the Shellmound, Mississippi area","docAbstract":"

In late February to early March 2018, the U.S. Geological Survey acquired 2,364 line-kilometers (km) of airborne electromagnetic, magnetic, and radiometric data in the Shellmound, Mississippi study area. The purpose of this survey is to contribute high-resolution information about subsurface geologic structure to inform groundwater models, water resource infrastructure studies, and local decision making. The Shellmound region hosts a managed aquifer recharge (MAR) pilot project, developed by the Agricultural Research Service of the U.S. Department of Agriculture. The MAR pilot project is investigating the use of bank filtration along the Tallahatchie River as a source for recharge in areas of significant groundwater decline. Direct injection into the Mississippi River Valley Alluvial aquifer (MRVA) occurs about 3 km from the extraction gallery. Understanding the structure of the aquifer, including both shallow and deep confining units, is important for the success of this pilot MAR study and may be even more important for potential future large-scale MAR projects and groundwater model development efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3449","usgsCitation":"Burton, B.L., Minsley, B.J., Bloss, B.R., Kress, W.H., Rigby, J.R., and Smith, B.D., 2020, High-resolution airborne geophysical survey of the Shellmound, Mississippi area: U.S. Geological Survey Scientific Investigations Map 3449, 2 sheets, https://doi.org/10.3133/sim3449.","productDescription":"2 Sheets: 28.09 x 21.01 inches and 29.96 x 24.19 inches; Data Release; ReadMe","onlineOnly":"Y","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":399521,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109607.htm"},{"id":371340,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D4EA9W","text":"USGS data release","linkHelpText":"Airborne electromagnetic, magnetic, and radiometric survey, Shellmound, Mississippi, March 2018"},{"id":371339,"rank":4,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3449/sim3449_ReadMe.txt","text":"Read Me","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3449 Read Me"},{"id":371338,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3449/sim3449_sheet2.pdf","text":"Sheet 2—","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3449 Sheet 2","linkHelpText":"High-Resolution Airborne Geophysical Survey of the Shellmound, Mississippi Area"},{"id":371337,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3449/sim3449_sheet1.pdf","text":"Sheet 1—","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3449 Sheet 1","linkHelpText":"High-Resolution Airborne Geophysical Survey of the Shellmound, Mississippi Area"},{"id":371336,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3449/coverthb.jpg"}],"country":"United States","state":"Mississippi","county":"Leflore County","city":"Shellmound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.5333,\n 33.5242\n ],\n [\n -90.1628,\n 33.5242\n ],\n [\n -90.1628,\n 33.8\n ],\n [\n -90.5333,\n 33.8\n ],\n [\n -90.5333,\n 33.5242\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS-973
Denver, CO 80225-0046

","publishedDate":"2020-01-17","noUsgsAuthors":false,"publicationDate":"2020-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":779674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":779675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloss, Benjamin R. 0000-0002-1678-8571 bbloss@usgs.gov","orcid":"https://orcid.org/0000-0002-1678-8571","contributorId":139981,"corporation":false,"usgs":true,"family":"Bloss","given":"Benjamin","email":"bbloss@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":779676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kress, Wade H. 0000-0002-6833-028X wkress@usgs.gov","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":1576,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"wkress@usgs.gov","middleInitial":"H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":779677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rigby, James R. 0000-0002-5611-6307","orcid":"https://orcid.org/0000-0002-5611-6307","contributorId":196374,"corporation":false,"usgs":false,"family":"Rigby","given":"James R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":779678,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":779679,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227818,"text":"70227818 - 2020 - Understanding effects of small dams on benthic metabolism and primary production in temperate forested streams","interactions":[],"lastModifiedDate":"2022-02-01T20:05:51.652709","indexId":"70227818","displayToPublicDate":"2020-01-17T15:05:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5004,"text":"Fundamental and Applied Limnology","active":true,"publicationSubtype":{"id":10}},"title":"Understanding effects of small dams on benthic metabolism and primary production in temperate forested streams","docAbstract":"

Dams can alter the chemical and physical conditions of downstream environments by increasing stream temperatures, altering nutrient limitation, reducing flow variability, and reducing fine sediment deposition. However, little is known about how fundamental stream ecosystem processes like productivity and respiration respond to dams. Nutrient diffusing substrates were installed in three dam streams and three control streams to evaluate the effect of dams on benthic gross primary productivity (GPP), respiration (R), and chlorophyll α production. Dam streams were an average of 5.6 °C warmer than control streams but GPP, R and chlorophyll α were not different between control and dam streams. Phosphorus enrichment increased heterotrophic R relative to controls (~1.8×) but not autotrophic GPP, R or chlorophyll α. Stream nutrient concentrations and nutrient limitation of heterotrophic R were similar in dam and control streams, suggesting that the dams had limited effects on nutrient transport downstream. Autotrophic GPP, R and chlorophyll α were limited by light and varied within and across streams, potentially masking our ability to detect differences caused solely by dams. Dams may alter stream ecosystem function but consideration of other factors associated with and independent of dams is critical for predicting ecosystem responses to dams.

","language":"English","publisher":"Schweizerbart Science Publishers","doi":"10.1127/fal/2020/1260","usgsCitation":"Ludlam, J.P., and Roy, A.H., 2020, Understanding effects of small dams on benthic metabolism and primary production in temperate forested streams: Fundamental and Applied Limnology, v. 193, no. 3, p. 227-237, https://doi.org/10.1127/fal/2020/1260.","productDescription":"11 p.","startPage":"227","endPage":"237","ipdsId":"IP-098905","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"193","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ludlam, John P.","contributorId":272885,"corporation":false,"usgs":false,"family":"Ludlam","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":56402,"text":"Fitchburg State University","active":true,"usgs":false}],"preferred":false,"id":832363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832362,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70212551,"text":"70212551 - 2020 - Use of visual surveys and radiotelemetry reveals sources of detection bias for a cryptic snake at low densities","interactions":[],"lastModifiedDate":"2020-08-20T14:18:36.641214","indexId":"70212551","displayToPublicDate":"2020-01-17T09:13:28","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Use of visual surveys and radiotelemetry reveals sources of detection bias for a cryptic snake at low densities","docAbstract":"

Transect surveys are frequently used to estimate distribution and abundance of species across a landscape, yet a proportion of individuals present will be missed because either they were out of view and unavailable for detection or they were available but not detected because the surveyors missed them. These situations lead to availability and perception bias, respectively, and can result in misleading estimates of abundance and habitat use. In this study, we examined potential biases of visual surveys used for the brown tree snake (Boiga irregularis), a cryptic invasive snake responsible for the extirpation of at least 15 vertebrates on Guam. We simultaneously executed visual surveys and radiotelemetry in a low‐density population of brown tree snakes with two goals in mind: to assess the efficacy of visual surveys in detecting subjects at low densities and to identify sources of perception and availability bias in such surveys. Results indicated that with considerable effort, visual surveys can predict the presence of this cryptic reptile even at low densities (0.4 animals/ha) but perform poorly at predicting areas of high use resulting in inaccurate estimates of relative habitat importance. Telemetered snakes used densely foliated plants including Pandanus tectorius and ferns (epiphytic and terrestrial species) for nearly half of their time, yet <9% of visual survey observations occurred in these microhabitats. Visibility of snakes decreased as they perched higher in the canopy mirroring the disparity between visual survey and telemetry detections but was also surprisingly low near the forest floor (0–1 m). Microhabitats identified in this study are likely to disproportionately affect visual surveys and would be appropriate resources to target for management purposes. When there is critical need to prevent false negatives, such as during an incipient invasion elsewhere, targeted searches of high‐use resources could augment other detection tools to improve detection probabilities of this and other cryptic species.ble for detection or they were available but not detected because the surveyors missed them. These situations lead to availability and perception bias, respectively, and can result in misleading estimates of abundance and habitat use. In this study, we examined potential biases of visual surveys used for the brown treesnake (Boiga irregularis), a cryptic invasive snake responsible for the extirpation of at least 15 vertebrates on Guam. We simultaneously executed visual surveys and radiotelemetry in a low-density population of brown treesnakes with two goals in mind: to assess the efficacy of visual surveys in detecting subjects at low densities and to identify sources of perception and availability bias in such surveys. Results indicated that with considerable effort, visual surveys can predict the presence of this cryptic reptile even at low densities (0.4 animals/ha) but perform poorly at predicting areas of high use resulting in inaccurate estimates of relative habitat importance. Telemetered snakes used densely foliated plants including Pandanus tectorius and ferns (epiphytic and terrestrial species) for nearly half of their time yet less than 9% of visual survey observations occurred in these microhabitats. Visibility of snakes decreased as they perched higher in the canopy mirroring the disparity between visual survey and telemetry detections but was also surprisingly low near the forest floor (0-1 meter). Microhabitats identified in this study are likely to disproportionately affect visual surveys and would be appropriate resources to target for management purposes. When there is critical need to prevent false negatives, such as during an incipient invasion elsewhere, targeted searches of high-use resources could augment other detection tools to improve detection probabilities of this and other cryptic species.

","language":"English","doi":"10.1002/ecs2.3000","usgsCitation":"Boback, S., Nafus, M.G., Yackel Adams, A.A., and Reed, R., 2020, Use of visual surveys and radiotelemetry reveals sources of detection bias for a cryptic snake at low densities: Ecosphere, v. 11, no. 1, e03000, 19 p., https://doi.org/10.1002/ecs2.3000.","productDescription":"e03000, 19 p.","onlineOnly":"Y","ipdsId":"IP-112922","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":458103,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3000","text":"Publisher Index Page"},{"id":437158,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P939BM0W","text":"USGS data release","linkHelpText":"Brown Treesnake visual survey and radiotelemetry data, Guam 2015"},{"id":377685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Boback, SM","contributorId":238881,"corporation":false,"usgs":false,"family":"Boback","given":"SM","email":"","affiliations":[{"id":39028,"text":"Dickinson College","active":true,"usgs":false}],"preferred":false,"id":796828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":796829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":796830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":796831,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219598,"text":"70219598 - 2020 - The lead (Pb) lining of agriculture‐related subsidies: enhanced Golden Eagle growth rates tempered by Pb exposure","interactions":[],"lastModifiedDate":"2021-04-15T12:36:37.360403","indexId":"70219598","displayToPublicDate":"2020-01-17T07:33:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The lead (Pb) lining of agriculture‐related subsidies: enhanced Golden Eagle growth rates tempered by Pb exposure","docAbstract":"

Supplementary food resources (e.g., subsidies) associated with agriculture can benefit wildlife species, increasing predictability and availability of food. Avian scavengers including raptors often utilize subsidies associated with both recreational hunting and pest shooting on agricultural lands. However, these subsidies can contain lead (Pb) fragments if they are culled with Pb‐based ammunition, potentially leading to Pb poisoning and physiological impairment in wildlife. Nesting Golden Eagles (Aquila chrysaetos) commonly forage in agricultural lands during the breeding season, and therefore, both adults and their nestlings are susceptible to Pb exposure from scavenging shot wildlife. We assessed drivers of Pb exposure in 258 nestling Golden Eagles (401 total blood samples), along with physiological and growth responses, in agricultural lands across four western states in the United States. We also evaluated the birds’ Pb stable isotope signatures to inform exposure sources. Twenty‐six percent of Golden Eagle nestlings contained Pb concentrations associated with subclinical poisoning for sensitive species (0.03–0.2 μg/g ww), 4% had Pb concentrations that exceeded subclinical poisoning benchmarks (0.2–0.5 μg/g ww), and <1% exceeded either concentrations associated with clinical poisoning (0.5–1.0 μg/g ww) and or those deemed to cause severe clinical poisoning (>1.0 μg/g ww). Lead concentrations were highest in nestlings with close proximity to fields that potentially provided subsidies and declined exponentially as distance to subsidies increased. However, close proximity to agriculture, and presumably subsidies, positively influenced nestling growth rates. Across the range of Pb exposure, nestlings experienced a 67% reduction in delta‐aminolevulinic acid dehydratase (δ‐ALAD) activity, suggesting nestlings may have been anemic or experiencing cellular damage. Isotopic ratios of 206Pb/207Pb increased non‐linearly with increasing blood Pb in Golden Eagle nestlings, and 45% of the birds were consistent with those of ammunition. However, above 0.10 μg/g ww, the proportion associated with ammunition increased to 89% of the nestlings. An improved understanding of how these positive (growth) and negative (physiology) effects associated with proximity to subsidies interact would be beneficial to managers when considering management scenarios and potentially evaluating any measures taken to reduce Pb exposure across the landscape.

","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.3006","usgsCitation":"Herring, G., Eagles-Smith, C., Buck, J.A., Shiel, A.E., Vennum, C.R., Emery, C., Johnson, B.L., Leal, D., Heath, J.A., Dudek, B.M., Preston, C.R., and Woodbridge, B., 2020, The lead (Pb) lining of agriculture‐related subsidies: enhanced Golden Eagle growth rates tempered by Pb exposure: Ecosphere, v. 11, no. 1, e03006, 17 p., https://doi.org/10.1002/ecs2.3006.","productDescription":"e03006, 17 p.","ipdsId":"IP-113074","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":458105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3006","text":"Publisher Index Page"},{"id":385116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Oregon, Wyoming","geographicExtents":"{\n \"type\": 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-114.6533203125,\n 42.22851735620852\n ],\n [\n -114.6533203125,\n 43.54854811091286\n ],\n [\n -116.76269531249999,\n 43.54854811091286\n ],\n [\n -116.76269531249999,\n 42.22851735620852\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.7861328125,\n 43.16512263158296\n ],\n [\n -107.7978515625,\n 43.16512263158296\n ],\n [\n -107.7978515625,\n 44.653024159812\n ],\n [\n -110.7861328125,\n 44.653024159812\n ],\n [\n -110.7861328125,\n 43.16512263158296\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buck, Jeremy A.","contributorId":195480,"corporation":false,"usgs":false,"family":"Buck","given":"Jeremy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":814276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shiel, Alyssa E.","contributorId":257443,"corporation":false,"usgs":false,"family":"Shiel","given":"Alyssa","email":"","middleInitial":"E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":814277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vennum, Chris R.","contributorId":213636,"corporation":false,"usgs":false,"family":"Vennum","given":"Chris","email":"","middleInitial":"R.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":814278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Emery, Colleen 0000-0002-1208-3224","orcid":"https://orcid.org/0000-0002-1208-3224","contributorId":215534,"corporation":false,"usgs":true,"family":"Emery","given":"Colleen","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Branden L. 0000-0002-8018-6452 branden_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8018-6452","contributorId":257446,"corporation":false,"usgs":true,"family":"Johnson","given":"Branden","email":"branden_johnson@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leal, David","contributorId":257448,"corporation":false,"usgs":false,"family":"Leal","given":"David","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":814281,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heath, Julie A.","contributorId":192842,"corporation":false,"usgs":false,"family":"Heath","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":814282,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dudek, Benjamin M","contributorId":213631,"corporation":false,"usgs":false,"family":"Dudek","given":"Benjamin","email":"","middleInitial":"M","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":814283,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Preston, Charles R.","contributorId":198922,"corporation":false,"usgs":false,"family":"Preston","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":814284,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Woodbridge, Brian","contributorId":198923,"corporation":false,"usgs":false,"family":"Woodbridge","given":"Brian","email":"","affiliations":[{"id":17821,"text":"U.S. Fish and Wildlife Service, Division of Migratory Birds","active":true,"usgs":false}],"preferred":false,"id":814285,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70211834,"text":"70211834 - 2020 - Using thermal infrared cameras to detect avian chicks at various distances and vegetative coverages","interactions":[],"lastModifiedDate":"2020-08-07T21:18:11.562582","indexId":"70211834","displayToPublicDate":"2020-01-16T16:15:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Using thermal infrared cameras to detect avian chicks at various distances and vegetative coverages","docAbstract":"

Population monitoring of nesting waterbirds often involves frequent entries into the colony, but alternative methods such as local remotely sensed thermal imaging may help reduce disturbance while providing a cost-effective way to survey breeding populations. Such an approach can have high initial costs, however, which may have reduced the number of studies investigating functionality of paired thermal infrared camera and small unmanned aerial systems. Here, we take the first step of exploring the ability of two thermal infrared cameras to detect an avian chick under varying vegetative cover and distances, preceding field-mounting applications on a small unmanned aerial system. We created seven “bioboxes” to simulate a range of natural vegetation types and densities for a globally important colonial ground-nesting waterbird species, the common tern Sterna hirundo. We placed a juvenile chicken Gallus gallus (surrogate for the locally endangered common tern) in each box, and we tested two market-accessible infrared cameras (produced by FLIR Systems and Infrared Cameras, Inc.) at five elevations using a stationary boom (maximum height = 12 m). We applied computer-based digital thresholding to collected images, identifying pixels meeting one of seven threshold values. The chick was visible from at least one threshold value in 19 and 31 of 35 processed by the FLIR Systems and Infrared Cameras, respectively. Percentage of the chick identified across thresholds was generally highest at lower threshold values and elevations and decreased as elevation and threshold increased; however, the relative importance of each variable changed dramatically across bioboxes and camera types. Ability to detect a chick from processed images generally decreased with increasing elevation, and although we made no quantitative comparisons among boxes, detectability appeared greatest in images from both cameras when little or no vegetation was present. Interestingly, no single threshold value was best for all bioboxes. We observed notable differences between cameras including visual resolution of detected temperature differentials and image processing speed. Results of this controlled study show promise for the use of thermal infrared systems for detecting cryptic species in vegetation. Future research should work to combine thermal infrared and visual sensors with small unmanned aerial systems to test applicability in a mobile field application.

","language":"English","publisher":"Fish and Wildlife Management","doi":"10.3996/072019-JFWM-062","usgsCitation":"Prosser, D., Collier, T., Sullivan, J.D., Dale, K.E., Callahan, C.R., McGowan, P.C., Gaylord, E., Geschke, J.M., Howell, L., Marban, P., and Raman, S., 2020, Using thermal infrared cameras to detect avian chicks at various distances and vegetative coverages: Journal of Fish and Wildlife Management, v. 11, no. 1, p. 245-257, https://doi.org/10.3996/072019-JFWM-062.","productDescription":"13 p.","startPage":"245","endPage":"257","ipdsId":"IP-077752","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458106,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/072019-jfwm-062","text":"Publisher Index Page"},{"id":437159,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97UT9B7","text":"USGS data release","linkHelpText":"Using Thermal Infrared Cameras to Detect Avian Chicks at Various Distances and Vegetative Coverages"},{"id":377208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":795295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collier, Tom","contributorId":208436,"corporation":false,"usgs":false,"family":"Collier","given":"Tom","email":"","affiliations":[{"id":37801,"text":"UASbio","active":true,"usgs":false}],"preferred":false,"id":795296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Jeffery D.","contributorId":202910,"corporation":false,"usgs":false,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":795297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dale, Katherine Emily 0000-0002-8544-1571","orcid":"https://orcid.org/0000-0002-8544-1571","contributorId":237786,"corporation":false,"usgs":true,"family":"Dale","given":"Katherine","email":"","middleInitial":"Emily","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":795298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callahan, Carl R.","contributorId":205289,"corporation":false,"usgs":false,"family":"Callahan","given":"Carl","email":"","middleInitial":"R.","affiliations":[{"id":37073,"text":"USFWS, Annapolis MD","active":true,"usgs":false}],"preferred":false,"id":795299,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":795300,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gaylord, Edward","contributorId":237787,"corporation":false,"usgs":false,"family":"Gaylord","given":"Edward","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":795301,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Geschke, Julia M.","contributorId":237788,"corporation":false,"usgs":false,"family":"Geschke","given":"Julia","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":795302,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Howell, Lucas","contributorId":237789,"corporation":false,"usgs":false,"family":"Howell","given":"Lucas","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":795303,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Marban, Paul R.","contributorId":221168,"corporation":false,"usgs":false,"family":"Marban","given":"Paul R.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":795304,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Raman, Saba","contributorId":237790,"corporation":false,"usgs":false,"family":"Raman","given":"Saba","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":795305,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70249835,"text":"70249835 - 2020 - Alpine plant community diversity in species-area relations at fine scale","interactions":[],"lastModifiedDate":"2023-11-01T20:51:01.204397","indexId":"70249835","displayToPublicDate":"2020-01-16T15:49:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Alpine plant community diversity in species-area relations at fine scale","docAbstract":"

Observations of diversity in alpine vegetation appear to be scale dependent. The relations of plant species richness with surface processes and geomorphology have been studied, but patterns of beta diversity are less known. In Glacier National Park, Montana, diversity has been examined within 1 m2 plots and for 16 m2 plots across two ranges, with within-plot and across-range explanatory factors, respectively. The slopes of species–area equations for nested 4, 8, 12, and 16 m2 plots were used as an indicator of beta diversity in Glacier National Park, where smaller and larger scales have been examined. The slopes were negatively related to a field assessment of surface stability and positively to the presence of talus—two sides of the same coin. A positive relationship with bedrock outcrops may be due to a misrepresentation of area for plants. The relationship of species–area slopes to plot-level gamma diversity was negative, weak, and marginally significant, and this variable did not enter the general linear model (GLM). Beyond simple differences in diversity with differences in environment, examination of beta diversity at a scale between that of earlier studies revealed surface processes and geomorphology as drivers that were also at a scale between those previously reported.

","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15230430.2019.1698894","usgsCitation":"Malanson, G.P., Nelson, E.L., Zimmerman, D.L., and Fagre, D., 2020, Alpine plant community diversity in species-area relations at fine scale: Arctic, Antarctic, and Alpine Research, v. 52, no. 1, p. 41-46, https://doi.org/10.1080/15230430.2019.1698894.","productDescription":"6 p.","startPage":"41","endPage":"46","ipdsId":"IP-108601","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":458107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2019.1698894","text":"Publisher Index Page"},{"id":422314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Malanson, George P.","contributorId":189162,"corporation":false,"usgs":false,"family":"Malanson","given":"George","email":"","middleInitial":"P.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":887300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Emma L","contributorId":331310,"corporation":false,"usgs":false,"family":"Nelson","given":"Emma","email":"","middleInitial":"L","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":887301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Dale L.","contributorId":166811,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Dale","email":"","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":887303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fagre, Daniel B. 0000-0001-8552-9461","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":224632,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":887302,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207314,"text":"sir20195137 - 2020 - Precipitation, temperature, groundwater-level elevation, streamflow, and potential flood storage trends within the Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity River basins in Texas through 2017","interactions":[],"lastModifiedDate":"2022-04-25T19:47:32.575058","indexId":"sir20195137","displayToPublicDate":"2020-01-16T15:40:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5137","displayTitle":"Precipitation, Temperature, Groundwater-Level Elevation, Streamflow, and Potential Flood Storage Trends Within the Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity River Basins in Texas Through 2017","title":"Precipitation, temperature, groundwater-level elevation, streamflow, and potential flood storage trends within the Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity River basins in Texas through 2017","docAbstract":"

The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE), analyzed streamflow trends and streamflow-related variables through 2017 in seven important water-supply basins to provide information that can help water managers with the USACE and river authorities make future water management decisions. The primary purpose of this report is to document trends in long-term streamflow data at 114 selected USGS streamflow-gaging stations and 36 simulated reservoir-inflow stations in 7 river basins primarily in Texas: Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity. In this report, trends were considered statistically significant if their p-values were less than or equal to 0.05 (p-value ≤0.05). Streamflow data selected for temporal trend analyses included annual minimum streamflow, annual peak streamflow, and streamflow volume. Precipitation, air temperature, and groundwater-level-elevation data were analyzed for trends that may help to explain changes observed in the streamflow statistics. Basins were divided into sections along county lines for precipitation analyses. Streamflow volumes were analyzed for associations with potential flood storage. The potential flood storage, defined as the difference between maximum storage and normal storage, was computed for each dam from the National Inventory of Dams database and accumulated over time based on the completion date of the dam.

Precipitation and air temperature trends were analyzed for each of the eight climate divisions (High Plains, Trans-Pecos, Low Rolling Hills, Edwards Plateau, North Central Texas, South Central Texas, East Texas, and Upper Coast). Results of precipitation trend analyses indicated moderate upward trends in the Upper Coast and East Texas Climate Divisions analyzed on an annual time step from 1900 through 2017. These two climate divisions are in the eastern and southeastern parts of the State, and they receive more mean annual precipitation (45.88 and 46.09 inches, respectively) than the other climate divisions. The results of air temperature analyses indicated upward trends in annual mean air temperature within all climate divisions, with a mean slope of 0.02 degree Fahrenheit per year, or 1 degree every 50 years.

Within the Brazos River Basin, results of precipitation trend analyses on an annual time step indicated that precipitation amounts are most likely increasing in the lower and middle sections of the basin. Downward trends in annual streamflow and in the ratio of streamflow volume to precipitation volume were indicated at 7 of the 15 stations in the upper sections of the basin. The lower sections of the basin had mostly downward trends in annual minimum streamflow, whereas upward trends in annual minimum streamflow were indicated in the upper sections of the basin. Downward trends in annual peak streamflow were indicated at many of the stations in the upper sections of the basin. At the same seven stations in the upper sections of the basin where there were downward trends in annual streamflow, there were also downward trends in the ratio of streamflow volume to precipitation volume. The data from the same seven stations indicated negative associations between potential flood storage volume and annual streamflow volume and downward trends in the ratio of annual streamflow volume to potential flood storage volume. With the known addition of 13,006,394 acre-feet of potential flood storage between 1900 and 2010 in the subbasins analyzed, streamflow volumes have decreased in the upper sections of the Brazos River Basin.

Within the Colorado River Basin, results of precipitation trend analyses on an annual time step indicated no trends in the basin. Downward trends in annual streamflow were indicated at 16 stations in the upper sections of the basin, whereas no trends in annual streamflow were indicated in the lower section of the basin. In the lower section of the basin, one station that was operated as a continuous streamflow-gaging station through 2017 had a downward trend in annual minimum streamflow, and another station (operated through 2007) had an upward trend in annual minimum streamflow. In the upper sections of the basin, data from seven stations indicated upward trends in annual minimum streamflow, and data from six stations indicated downward trends. Data from 18 stations in the upper sections of the basin indicated downward trends in annual peak streamflow. Thirteen of the 16 stations in the upper sections of the basin with data that indicated downward trends in annual streamflow also have data that indicated downward trends in the ratio of streamflow volume to precipitation volume. Data from the same 13 stations indicated negative associations between potential flood storage volume and annual streamflow volume and downward trends in the ratio of annual streamflow volume to potential flood storage volume. With the known addition of 7,193,147 acre-feet of potential flood storage between 1891 and 2014 in the subbasins analyzed, streamflow volumes have decreased in the upper sections of the Colorado River Basin.

Within the Big Cypress Basin, results of precipitation trend analyses on annual, seasonal, and monthly time steps indicated almost no trends in the basin as defined in this report. However, the annual precipitation p-value only slightly exceeded the p-value threshold for a statistically significant trend. Given the upward trend in precipitation in the East Texas Climate Division, which includes the Big Cypress Basin, and the low p-value for annual precipitation within the basin, precipitation in the basin may be increasing over time. Two annual streamflow trends, one upward and one downward, were in the upper parts of the basin. Data from USGS streamflow-gaging station 07346000 Big Cypress Bayou near Jefferson, Texas, indicated an upward trend in annual minimum streamflow and a downward trend in annual peak streamflow. The station is immediately downstream from Lake O’ the Pines; presumably, minimums have increased because of regulated releases, and annual peaks have decreased because of storage from the lake for flood control. Despite the known addition of 2,737,154 acre-feet of potential flood storage between 1898 and 2011 in the subbasins analyzed, there have not been widespread reductions in streamflow volumes in the Big Cypress Basin, except for within the drainage area for the farthest upstream station on the main stem downstream from Mount Pleasant, Texas.

Within the Guadalupe River Basin, results of precipitation trend analyses on an annual time step indicated an upward trend in the lower section of the basin, but no trends in annual streamflow were indicated in the lower section of the basin. In the upper section of the basin, data from 1 of the 13 stations indicated an upward trend in annual streamflow. Data from 6 of the 13 stations in the upper section of the basin indicated a trend in annual minimum streamflow with 4 upward and 2 downward trends. Data from 2 of the 13 stations in the upper section of the basin indicated downward trends in annual peak streamflow. Despite the known addition of 2,016,534 acre-feet of potential flood storage between 1849 and 2013 in the subbasins analyzed, streamflow volumes have not decreased in the Guadalupe River Basin.

Within the Neches River Basin, results of precipitation trend analyses on an annual time step indicated upward trends in the basin. None of the data from stations analyzed in the Neches River Basin indicated annual trends in streamflow despite upward trends in annual precipitation within the basin. Data from 9 of the 19 stations analyzed in the basin indicated upward trends in annual minimum streamflow. Data from one of the simulated-inflow stations indicated a downward trend in annual minimum streamflow into Sam Rayburn Reservoir. Data from two stations indicated downward trends in annual peak streamflow, and data from one small subbasin indicated an upward trend in annual peak streamflow. Despite the known addition of 4,839,609 acre-feet of potential flood storage between 1888 and 2008 in the subbasins analyzed, there have not been widespread reductions in streamflow volumes in the Neches River Basin.

Within the Sulphur River Basin, results of precipitation trend analyses on an annual time step indicated a moderate upward trend within the basin. Data from only one of the stations, the simulated inflow to Jim Chapman Lake, indicated an annual upward trend in streamflow despite an upward trend in annual precipitation throughout the basin. Data from three of the six stations in the Sulphur River Basin indicated upward trends in annual minimum streamflow, and data from one of the six stations indicated a downward trend in annual peak streamflow. Despite the known addition of 6,933,361 acre-feet of potential flood storage between 1904 and 2006 in the subbasins analyzed, streamflow volumes have not decreased in the Sulphur River Basin.

Within the Trinity River Basin, results of precipitation trend analyses on an annual time step indicated upward trends in most sections of the basin. Data from 8 of the 36 stations analyzed for trends in annual streamflow indicated upward trends, and all 8 stations are in the upper sections of the basin. None of the data from stations in the lower sections of the basin indicated trends in annual streamflow. Data from 16 of the 36 stations indicated upward trends in annual minimum streamflow. Upward trends in annual minimum streamflow could be the result of managed reservoir releases in combination with wastewater treatment plant releases in the large Dallas-Fort Worth metroplex in the upper sections of the basin. All the trends in annual peak streamflow were in the sections of the basin that include the Dallas-Fort Worth metroplex. Data from two stations, one USGS streamflow-gaging station and one simulated-inflow station, indicated upward trends in annual peak streamflow, and data from one streamflow-gaging station indicated a downward trend in annual peak streamflow. Of the basins included in this study, the Trinity River Basin has the second largest amount of potential flood storage of 8,947,349 acre-feet from dams added between 1890 and 2013. Eleven stations in the Trinity River Basin had positive associations between potential flood storage volume and annual streamflow volume, indicating that annual streamflow increases as potential flood storage increases. Data from 7 of the 11 stations also indicated upward trends in annual streamflow. The positive associations may be the result of increases in minimum streamflow, which could be the result of any combination of managed reservoir releases, wastewater treatment plant releases, or increased runoff from urbanized areas, particularly in the urbanized area of the Dallas-Fort Worth metroplex.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195137","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Fort Worth District","usgsCitation":"Harwell, G.R., McDowell, J.S., Gunn, C.L., and Garrett, B.S., 2020, Precipitation, temperature, groundwater-level elevation, streamflow, and potential flood storage trends within the Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity River basins in Texas through 2017 (ver. 1.1, April 2020): U.S. Geological Survey Scientific Investigations Report 2019–5137, 94 p., https://doi.org/10.3133/sir20195137.","productDescription":"Report: x, 94 p.; 5 Tables; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-102896","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":399613,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109606.htm"},{"id":374071,"rank":9,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5137/coverthb2.jpg"},{"id":373986,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2019/5137/versionHist.txt","text":"Version History","size":"1.35 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2019–5137 Version History"},{"id":371261,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2019/5137/sir20195137_table9.xlsx","text":"Table 9—","size":"120 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 9","linkHelpText":"Summary of annual, seasonal, and monthly trends in the ratio of streamflow volume to precipitation volume in the Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity River Basins"},{"id":371258,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2019/5137/sir20195137_table7.xlsx","text":"Table 7—","size":"64 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 7","linkHelpText":"Summary of precipitation temporal trends around the time of annual peak streamflow in the Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity River Basins"},{"id":371255,"rank":2,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2019/5137/sir20195137_table5.xlsx","text":"Table 5—","size":"80 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 5","linkHelpText":"Summary of annual, seasonal, and monthly associations between precipitation volume and streamflow volume in the Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity River Basins"},{"id":371252,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L1F7PT","text":"USGS data release","description":"USGS data release","linkHelpText":"Data used to assess precipitation, temperature, groundwater-level elevation, streamflow, and potential flood storage trends within the Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity River Basins in Texas through 2017"},{"id":373985,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5137/sir20195137_v1.1.pdf","text":"Report","size":"20.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5137"},{"id":371259,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2019/5137/sir20195137_table8.xlsx","text":"Table 8—","size":"144 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 8","linkHelpText":"Summary of annual, seasonal, and monthly streamflow volume trends in the Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity River Basins"},{"id":371262,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2019/5137/sir20195137_table10.xlsx","text":"Table 10—","size":"48 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 10","linkHelpText":"Summary of trends in annual minimum streamflow and annual peak streamflow and relations between streamflow volume and potential flood storage volume in the Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity River Basins"}],"country":"United States","state":"Texas","otherGeospatial":"Brazos, Colorado, Big Cypress, Guadalupe, Neches, Sulphur, and Trinity River basins","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.4667,\n 28.4167\n ],\n [\n -93.0619,\n 28.4167\n ],\n [\n -93.0619,\n 33.6667\n ],\n [\n -101.4667,\n 33.6667\n ],\n [\n -101.4667,\n 28.4167\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: January 2020; Version 1.1: April 2020","contact":"

Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-01-16","revisedDate":"2020-04-16","noUsgsAuthors":false,"publicationDate":"2020-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Harwell, Glenn R. 0000-0003-4265-2296","orcid":"https://orcid.org/0000-0003-4265-2296","contributorId":221295,"corporation":false,"usgs":true,"family":"Harwell","given":"Glenn R.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDowell, Jeremy 0000-0002-8132-9806","orcid":"https://orcid.org/0000-0002-8132-9806","contributorId":221296,"corporation":false,"usgs":true,"family":"McDowell","given":"Jeremy","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gunn-Rosas, Cathina 0000-0002-6633-3735","orcid":"https://orcid.org/0000-0002-6633-3735","contributorId":221298,"corporation":false,"usgs":true,"family":"Gunn-Rosas","given":"Cathina","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrett, Brett 0000-0003-0132-2426","orcid":"https://orcid.org/0000-0003-0132-2426","contributorId":221297,"corporation":false,"usgs":true,"family":"Garrett","given":"Brett","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777675,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}