How information is communicated influences the public’s environmental perceptions and behaviors. Information channels and sources both play an important role in the dissemination of information. Trust in a source is often used as a proxy for whether a particular piece of information is credible. To determine preferences for information channels and trust in various sources for information on nature-related topics, a mail-out survey was sent to randomly selected U.S. addresses (n = 1,030). Diverse groups of people may have differing communication preferences. Therefore, we explored differences in channel preferences and trust by demographics using regression models. Overall, the most preferred channels were personal experience, reading online content, and watching visual media online. The most trusted sources were science organizations, universities, and friends/family. Channel preferences varied the most by education level and age, while source trust was most influenced by education, race, age, and size of current residence (rural-urban). The influence of demographics varied depending on the individual channel and source, with some groups preferring certain channels or sources but not others. Results are useful to consider when disseminating information on nature-related topics to a general public audience. More broadly, results also suggest spreading information using different channels and sources depending on the specific audience being targeted.
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hyperspectral remote sensing of vegetation","language":"English","publisher":"CRC Press","usgsCitation":"Aneece, I.P., Thenkabail, P.S., Lyon, J., Huete, A., and Slonecker, E.T., 2018, Spaceborne hyperspectral EO-1 hyperion data pre-processing: Methods, approaches, and algorithms, chap. of Hyperspectral remote sensing of vegetation, Chapter 9.","productDescription":"Chapter 9","ipdsId":"IP-091722","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":360626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360370,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Hyperspectral-Remote-Sensing-of-Vegetation-Second-Edition-Four-Volume/Thenkabail-Lyon-Huete/p/book/9781138066250"}],"edition":"Second Edition","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1cb860e4b0708288c8382a","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":754427,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lyon, J.G.","contributorId":74909,"corporation":false,"usgs":true,"family":"Lyon","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":754428,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":754429,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Aneece, Itiya P. 0000-0002-1201-5459","orcid":"https://orcid.org/0000-0002-1201-5459","contributorId":208293,"corporation":false,"usgs":true,"family":"Aneece","given":"Itiya","email":"","middleInitial":"P.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":746685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":746686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyon, John G.","contributorId":200216,"corporation":false,"usgs":false,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":746687,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huete, Alfredo 0000-0003-2809-2376","orcid":"https://orcid.org/0000-0003-2809-2376","contributorId":208294,"corporation":false,"usgs":false,"family":"Huete","given":"Alfredo","email":"","affiliations":[],"preferred":false,"id":746688,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Slonecker, E. Terrence 0000-0002-5793-0503 tslonecker@usgs.gov","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":168591,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"tslonecker@usgs.gov","middleInitial":"Terrence","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":true,"id":746689,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201365,"text":"cir1448 - 2018 - Identification of bees in southwest Idaho—A guide for beginners","interactions":[],"lastModifiedDate":"2018-12-12T10:09:39","indexId":"cir1448","displayToPublicDate":"2018-12-11T12:30:11","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1448","displayTitle":"Identification of Bees in Southwest Idaho—A Guide for Beginners","title":"Identification of bees in southwest Idaho—A guide for beginners","docAbstract":"This document was prepared to help scientists and the public, both of whom may not be familiar with bee taxonomy, learn how to practically identify bees in sagebrush steppe and shrubland habitats in southwest Idaho. We provide information to identify bees to the level of family and genus. A tentative list of the bee genera captured at sites used for insect community studies is included.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1448","usgsCitation":"Sun, E.R., and Pilliod, D.S., 2018, Identification of bees in southwest Idaho—A guide for beginners: U.S. Geological Survey Circular 1448, 84 p., https://doi.org/10.3133/cir1448.","productDescription":"iv, 84 p.","onlineOnly":"Y","ipdsId":"IP-093264 ","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":360166,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1448/cir1448.pdf","text":"Report","size":"20.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1448"},{"id":360165,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1448/coverthb.jpg"}],"country":"United States","state":"Idaho","contact":"Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
Acoustic surveys of vocalizing animals are conducted to determine density, distribution, and diversity. Acoustic surveys are traditionally performed by human listeners, but automated recording devices (ARD) are becoming increasingly popular. Signal strength decays, or attenuates, with increasing distance between source and receiver and some habitat types may differentially increase attenuation beyond the effects of distance alone. These combined effects are rarely accounted for in acoustic monitoring programs. We evaluated the performance of three playback devices and three ARD models using the calls of six anurans, six birds, and four pure tones. Based on these evaluations, we determined the optimal playback and recording devices. Using these optimal devices, we broadcast and recorded vocalizations in five habitat types along 1,000 m transects. We used generalized linear models to test for effects of habitat, distance, species, environmental, and landscape variables. We predicted detection probabilities for each vocalization, in each habitat type, from 0 to 1,000 m. Among playback devices, only a remote predator caller simulated vocalizations consistently. Differences of ~10 dB were observed among ARDs. For all species, we found differences in detectability between open and closed canopy habitats. We observed large differences in predicted detection probability among species in each habitat type, as well as along 1,000 m transects. Increases in temperature, barometric pressure, and wind speed significantly decreased detection probability. However, aside from differences among species, habitat, and distance, topography impeding a line‐of‐sight between sound source and receiver had the greatest negative influence on detections. Our results suggest researchers should model the effects of habitat, distance, and frequency on detection probability when performing acoustic surveys. To optimize survey design, we recommend pilot measurements among varying habitats.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4752","usgsCitation":"MacLaren, A.R., Crump, P.S., Royle, J.A., and Forstner, M., 2018, Observer-free experimental evaluation of habitat and distance effects on the detection of anuran and bird vocalizations: Ecology and Evolution, v. 8, no. 24, p. 12991-13003, https://doi.org/10.1002/ece3.4752.","productDescription":"13 p.","startPage":"12991","endPage":"13003","ipdsId":"IP-101421","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468190,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4752","text":"Publisher Index Page"},{"id":360722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"24","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-11","publicationStatus":"PW","scienceBaseUri":"5c5022c4e4b0708288f7e814","contributors":{"authors":[{"text":"MacLaren, Andrew R.","contributorId":211837,"corporation":false,"usgs":false,"family":"MacLaren","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":38329,"text":"Texas State Univ.","active":true,"usgs":false}],"preferred":false,"id":755001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crump, Paul S.","contributorId":211838,"corporation":false,"usgs":false,"family":"Crump","given":"Paul","email":"","middleInitial":"S.","affiliations":[{"id":38330,"text":"Texas State Univ","active":true,"usgs":false}],"preferred":false,"id":755002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forstner, Michael R. J.","contributorId":211839,"corporation":false,"usgs":false,"family":"Forstner","given":"Michael R. J.","affiliations":[{"id":38330,"text":"Texas State Univ","active":true,"usgs":false}],"preferred":false,"id":755003,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201353,"text":"70201353 - 2018 - The metabolic regimes of 356 rivers in the United States","interactions":[],"lastModifiedDate":"2020-09-02T12:52:01.189155","indexId":"70201353","displayToPublicDate":"2018-12-11T10:56:25","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"The metabolic regimes of 356 rivers in the United States","docAbstract":"A national-scale quantification of metabolic energy flow in streams and rivers can improve understanding of the temporal dynamics of in-stream activity, links between energy cycling and ecosystem services, and the effects of human activities on aquatic metabolism. The two dominant terms in aquatic metabolism, gross primary production (GPP) and aerobic respiration (ER), have recently become practical to estimate for many sites due to improved modeling approaches and the availability of requisite model inputs in public datasets. We assembled inputs from the U.S. Geological Survey and National Aeronautics and Space Administration for October 2007 to January 2017. We then ran models to estimate daily GPP, ER, and the gas exchange rate coefficient for 356 streams and rivers across the continental United States. We also gathered potential explanatory variables and spatial information for cross-referencing this dataset with other datasets of watershed characteristics. This dataset offers a first national assessment of many-day time series of metabolic rates for up to 9 years per site, with a total of 490,907 site-days of estimates.
","language":"English","publisher":"Nature","doi":"10.1038/sdata.2018.292","usgsCitation":"Appling, A.P., Read, J.S., Winslow, L., Arroita, M., Bernhardt, E.S., Griffiths, N.A., Hall, R., Harvey, J.W., Heffernan, J.B., Stanley, E.H., Stets, E.G., and Yackulic, C.B., 2018, The metabolic regimes of 356 rivers in the United States: Scientific Data, v. 5, 18029, 14 p., https://doi.org/10.1038/sdata.2018.292.","productDescription":"18029, 14 p.","ipdsId":"IP-098533","costCenters":[{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":468191,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2018.292","text":"Publisher Index Page"},{"id":437653,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70864KX","text":"USGS data 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CWP is an important metric to test and monitor water-saving strategies in agroecosystems across the globe. Red and near-infrared broadbands have been used to estimate CWP, because they capture biophysical constraints based on crop-light interaction principles at pixel level (e.g., 30-meter resolution) over large areas through time. Hyperspectral remote sensing, which allows for the more precise measurement of crop-light interactions at higher spectral resolution, should in theory provide higher accuracy in CWP estimation but has been underutilized by the remote sensing community due to computational challenges and lack of availability. In this study, a simple methodology is presented to demonstrate how CWP could be estimated using hyperspectral remote sensing. Due to a lack of hyperspectral data, Landsat-7 Enhanced Thematic Mapper Plus (ETM+) data were used for the demonstration. Landsat is a broadband sensor that provides considerable spectral information for CWP estimation. New bands were identified in the workflow outside the typical Landsat bands used to estimate CWP and its components (Y and ETC). Landsat bands 1 and 3 were the most effective at estimating CWP and Y with an R2 of 0.72 (RMSE = 0.50 kg m−3) and 0.64 (RMSE = 0.31 kg m−2), respectively. All of the bands were poor at estimating ETC, with Landsat bands 1 and 7 being the most highly correlated (R2 = 0.13, RMSE = 0.08 m). Future work should train models with multiple estimates of CWP and Y over the growing season, while ETC may be better estimated with thermal infrared bands not considered in this study. Finally, studies should also consider estimating CWP categorically, instead of continuously, if the same objectives of testing and monitoring are met.
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Conservation implementation has been substantial in the time period for which digital records are available (from 2007 through 2017). Farmer participation in USDA conservation programs is voluntary and the implementation data are privacy protected. In 2010, the U.S. Geological Survey (USGS) and USDA formed a cooperative partnership to analyze the effects of agricultural conservation on sediment, nutrient, and pesticide transport to the Chesapeake Bay. The USDA provides conservation implementation records for Chesapeake Bay farms to the USGS, with strict limitations on the use of the data to maintain confidentiality of site-specific farm data. The USGS aggregates the data to maintain farmer privacy, and subsequently provides the aggregated datasets to the public to inform conservation decision making processes. As part of that process, the USGS collaborates with the USDA to increase the understanding and quality of the USDA datasets and informs the interpretation of data records by Chesapeake Bay Program partners. The USGS obtains USDA conservation datasets in October of each year, performs data handling and quality checks as described in this document, and delivers aggregated summaries to the six Chesapeake Bay state jurisdictions for use in reporting conservation implementation to the Chesapeake Bay Partnership’s Annual Progress Review, which occurs in December of each year. The privacy protected, site-specific datasets are also used by USGS scientists to understand the effects of agricultural conservation on sediment, nutrient, and pesticide transport to the Chesapeake Bay at the small watershed scale. 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U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Microbial interactions could play an important role in plant invasions. If invasive plants associate with relatively more mutualists or fewer pathogens than their native counterparts, then microbial communities could foster plant invasiveness. Studies examining the effects of microbes on invasive plants commonly focus on a single microbial group (e.g., bacteria) or measure only plant response to microbes, not documenting the specific taxa associating with invaders. We surveyed root microbial communities associated with co‐occurring native and non‐native lineages of Phragmites australis, across Michigan, USA. Our aim was to determine whether (1) plant lineage was a stronger predictor of root microbial community composition than environmental variables and (2) the non‐native lineage associated with more mutualistic and/or fewer pathogenic microbes than the native lineage. We used microscopy and culture‐independent molecular methods to examine fungal colonization rate and community composition in three major microbial groups (bacteria, fungi, and oomycetes) within roots. We also used microbial functional databases to assess putative functions of the observed microbial taxa. While fungal colonization of roots was significantly higher in non‐native Phragmites than the native lineage, we found no differences in root microbial community composition or potential function between the two Phragmites lineages. Community composition did differ significantly by site, with soil saturation playing a significant role in structuring communities in all three microbial groups. The relative abundance of some specific bacterial taxa did differ between Phragmites lineages at the phylum and genus level (e.g., Proteobacteria, Firmicutes). Purported function of root fungi and respiratory mode of root bacteria also did not differ between native and non‐native Phragmites. We found no evidence that native and non‐native Phragmites harbored distinct root microbial communities; nor did those communities differ functionally. Therefore, if the trends revealed at our sites are widespread, it is unlikely that total root microbial communities are driving invasion by non‐native Phragmites plants.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2526","usgsCitation":"Bickford, W.A., Goldberg, D.E., Kowalski, K., and Zak, D.R., 2018, Root endophytes and invasiveness: no difference between native and non‐native Phragmites in the Great Lakes Region: Ecosphere, v. 9, no. 12, p. 1-14, https://doi.org/10.1002/ecs2.2526.","productDescription":"e02526; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-098851","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":468192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2526","text":"Publisher Index Page"},{"id":360369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"12","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-10","publicationStatus":"PW","scienceBaseUri":"5c18c424e4b006c4f856acd7","contributors":{"authors":[{"text":"Bickford, Wesley A. 0000-0001-7612-1325 wbickford@usgs.gov","orcid":"https://orcid.org/0000-0001-7612-1325","contributorId":5687,"corporation":false,"usgs":true,"family":"Bickford","given":"Wesley","email":"wbickford@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":754421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldberg, Deborah E.","contributorId":211585,"corporation":false,"usgs":false,"family":"Goldberg","given":"Deborah","email":"","middleInitial":"E.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":754422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":754423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zak, Donald R.","contributorId":211586,"corporation":false,"usgs":false,"family":"Zak","given":"Donald","email":"","middleInitial":"R.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":754424,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200851,"text":"pp1814F - 2018 - U-Pb geochronology and tectonic implications of a Silurian ash in the Farewell Terrane, Alaska","interactions":[{"subject":{"id":70200851,"text":"pp1814F - 2018 - U-Pb geochronology and tectonic implications of a Silurian ash in the Farewell Terrane, Alaska","indexId":"pp1814F","publicationYear":"2018","noYear":false,"chapter":"F","displayTitle":"U-Pb Geochronology and Tectonic Implications of a Silurian Ash in the Farewell Terrane, Alaska","title":"U-Pb geochronology and tectonic implications of a Silurian ash in the Farewell Terrane, Alaska"},"predicate":"IS_PART_OF","object":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"id":1}],"isPartOf":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"lastModifiedDate":"2018-12-11T12:38:31","indexId":"pp1814F","displayToPublicDate":"2018-12-10T12:49:51","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1814","chapter":"F","displayTitle":"U-Pb Geochronology and Tectonic Implications of a Silurian Ash in the Farewell Terrane, Alaska","title":"U-Pb geochronology and tectonic implications of a Silurian ash in the Farewell Terrane, Alaska","docAbstract":"The Farewell terrane is an exotic continental fragment in interior Alaska that during the early Paleozoic was the site of a passive margin. We report a 238U/206Pb zircon age of 432.9±3.0 Ma from a Farewell terrane ash in Mt. McKinley quadrangle, Alaska. This age overlaps with prominent detrital zircon age maxima reported from Silurian and Devonian strata from the Farewell, Arctic Alaska-Chukotka, White Mountains, Alexander, and Yreka terranes, and from parautochtonous Silurian and Devonian foreland-basin strata along the Laurentian margin in the Canadian Arctic and Alaska. These findings can be explained in terms of refinements to the extrusion model of Colpron and Nelson (2011). In the original model, the Farewell terrane was interpreted as having been extruded westward into the paleo-Pacific realm from an initial position along the Siberian margin of the Uralian seaway, that is, the early Paleozoic ocean between Siberia and Baltica. We suggest (1) that the Farewell terrane was deposited along a passive margin that faced into the Uralian seaway; (2) that the terrane more likely originated along the northern or eastern margin of Baltica (present directions), rather than Siberia; and (3) that the Silurian ash and Silurian detrital zircons were derived from a magmatic source along a convergent margin that overrode distal parts of the Farewell passive margin during the Late Ordovician and Silurian. The Farewell terrane was eventually dislodged from Baltica, began to travel with the extruding plate, and was conveyed toward the Pacific to its eventual resting place in Alaska.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, Volume 15","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814F","usgsCitation":" Bradley, D.C., Dumoulin, J.A., and Bradley, D.B., 2018, U-Pb geochronology and tectonic implications of a Silurian ash in the Farewell terrane, Alaska, in Dumoulin, J.A., ed., Studies by the U.S. Geological Survey in Alaska, vol. 15: U.S. Geological Survey Professional Paper 1814–F, 13 p., https://doi.org/10.3133/pp1814F. ","productDescription":"Report: iii, 12 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-097623","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":360106,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1814/f/coverthb.jpg"},{"id":360107,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1814/f/pp1814f.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1814 Chapter F"}],"country":"United States","state":"Alaska","otherGeospatial":"Farewell Terrane","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158,\n 61\n ],\n [\n -149,\n 61\n ],\n [\n -149,\n 65\n ],\n [\n -158,\n 65\n ],\n [\n -158,\n 61\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Alaska Science Center staff
U.S. Geological Survey
4210 University Dr.
Anchorage, AK 99508
Alaska Mineral Resources
Alaska Science Center
Despite decades of regulatory efforts in the United States to decrease vulnerability in developed coastal zones, exposure of residential assets to hurricane damage is increasing — even in places where hurricanes have struck before. Comparing plan-view footprints of individual residential buildings before and long after major hurricane strikes, we find a systematic pattern of ‘building back bigger’ among renovated and new properties.
","language":"English","publisher":"Nature","doi":"10.1038/s41893-018-0185-y","usgsCitation":"Lazarus, E.D., Limber, P.W., Goldstein, E.B., Dodd, R., and Armstrong, S., 2018, Building back bigger in hurricane strike zones: Nature Sustainability, v. 1, p. 759-762, https://doi.org/10.1038/s41893-018-0185-y.","productDescription":"4 p.","startPage":"759","endPage":"762","ipdsId":"IP-090415","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468194,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1038/s41893-018-0185-y>).","text":"External Repository"},{"id":360152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-10","publicationStatus":"PW","scienceBaseUri":"5c10a8e4e4b034bf6a7e4dd2","contributors":{"authors":[{"text":"Lazarus, Eli D. 0000-0003-2404-9661","orcid":"https://orcid.org/0000-0003-2404-9661","contributorId":184209,"corporation":false,"usgs":false,"family":"Lazarus","given":"Eli","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":753514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":196794,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Evan B. 0000-0001-9358-1016","orcid":"https://orcid.org/0000-0001-9358-1016","contributorId":184210,"corporation":false,"usgs":false,"family":"Goldstein","given":"Evan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":753516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dodd, Rosie","contributorId":211271,"corporation":false,"usgs":false,"family":"Dodd","given":"Rosie","email":"","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":753515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstrong, Scott B.","contributorId":211368,"corporation":false,"usgs":false,"family":"Armstrong","given":"Scott B.","affiliations":[],"preferred":false,"id":753517,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201265,"text":"70201265 - 2018 - Sex‐specific responses in neuroanatomy of hatchling American kestrels in response to embryonic exposure to the flame retardants bis(2‐ethylhexyl)‐2,3,4,5‐tetrabromophthalate and 2‐ethylhexyl‐2,3,4,5‐tetrabromobenzoate","interactions":[],"lastModifiedDate":"2018-12-10T10:13:17","indexId":"70201265","displayToPublicDate":"2018-12-10T10:13:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Sex‐specific responses in neuroanatomy of hatchling American kestrels in response to embryonic exposure to the flame retardants bis(2‐ethylhexyl)‐2,3,4,5‐tetrabromophthalate and 2‐ethylhexyl‐2,3,4,5‐tetrabromobenzoate","docAbstract":"Bis(2‐ethylhexyl)‐2,3,4,5‐tetrabromophthalate (BEH‐TEBP) and 2‐ethylhexyl‐2,3,4,5‐tetrabromobenzoate (EH‐TBB), flame retardant components of FireMaster 550® and 600® have been detected in tissues of wild birds. To address the paucity of information regarding potential impacts of flame retardants on the brain, brain volume regions of hatchling American kestrels (Falco sparverius) were evaluated following in ovo injection at embryonic day 5 with safflower oil or to 1 of 3 doses of either BEH‐TEBP (13, 64, or 116 μg/g egg) or EH‐TBB (12, 60, or 149 μg/g egg). The doses for both chemicals reflected concentrations reported in wild birds. The volumes of the hippocampus and telencephalon and volumetric differences between left and right hemispheres were measured in hatchlings (embryonic day 28). A sex‐specific effect of BEH‐TEBP on relative hippocampus volume was evident: the hippocampus was significantly enlarged in high‐dose females compared to control females but smaller in low‐dose females than the other females. There was no significant effect of EH‐TBB on hippocampus volume in female kestrel hatchlings or of either chemical in male hatchlings and no effects of these concentrations of EH‐TBB or BEH‐TEBP on telencephalon volume or the level of symmetry between the hemispheres of the brain. In sum, embryonic exposure of female kestrels to these BEH‐TEBP concentrations altered hippocampus volume, having the potential to affect spatial memory relating to ecologically relevant behavior such as prey capture, predator avoidance, and migration.
","language":"English","publisher":"Society of Environmental Toxicology and Chemisty","doi":"10.1002/etc.4238","usgsCitation":"Guigueno, M.F., Karouna-Renier, N., Henry, P.F., Peters, L.E., Palace, V.P., Letcher, R.J., and Fernie, K.J., 2018, Sex‐specific responses in neuroanatomy of hatchling American kestrels in response to embryonic exposure to the flame retardants bis(2‐ethylhexyl)‐2,3,4,5‐tetrabromophthalate and 2‐ethylhexyl‐2,3,4,5‐tetrabromobenzoate: Environmental Toxicology and Chemistry, v. 37, no. 12, p. 3032-3040, https://doi.org/10.1002/etc.4238.","productDescription":"9 p.","startPage":"3032","endPage":"3040","ipdsId":"IP-092888","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":360088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"12","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-23","publicationStatus":"PW","scienceBaseUri":"5c0f8979e4b0c53ecb2c71e9","contributors":{"authors":[{"text":"Guigueno, Melanie F.","contributorId":211240,"corporation":false,"usgs":false,"family":"Guigueno","given":"Melanie","email":"","middleInitial":"F.","affiliations":[{"id":37248,"text":"Environment & Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":753419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Lisa E.","contributorId":176211,"corporation":false,"usgs":false,"family":"Peters","given":"Lisa","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":753421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palace, Vince P.","contributorId":176210,"corporation":false,"usgs":false,"family":"Palace","given":"Vince","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":753422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":753423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fernie, Kim J.","contributorId":211241,"corporation":false,"usgs":false,"family":"Fernie","given":"Kim","email":"","middleInitial":"J.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":753424,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201245,"text":"70201245 - 2018 - Wildlife underpass use and environmental impact assessment: A southern California case study","interactions":[],"lastModifiedDate":"2018-12-10T10:11:21","indexId":"70201245","displayToPublicDate":"2018-12-10T10:11:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5704,"text":"Cities and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Wildlife underpass use and environmental impact assessment: A southern California case study","docAbstract":"Environmental planners often rely on transportation structures (i.e., underpasses, bridges) to provide connectivity for animals across developed landscapes. Environmental assessments of predicted environmental impacts from proposed developments often rely on literature reviews or other indirect measures to establish the importance of wildlife crossings. Literature-based evaluations of wildlife crossings may not be accurate, and result in under-estimation of impacts or establishment of inappropriate mitigation measures. To investigate the adequacy of literature-based evaluations, we monitored wildlife use of a freeway underpass that had been identified as critically important to wildlife connectivity, and which was evaluated in an environmental review document. Photographs were obtained from a network of trail cameras over 3 years. Six mid- to large-sized native mammal species used the underpass and two other mammal species were photographed near the underpass but not using it. American badger (Taxidea taxus) was photographed at a higher rate in the underpass than in the surrounding area. Gray fox (Urocyon cinereoargenteus) was rarely detected in the underpass relative to surrounding habitats, whereas the absence of mule deer (Odocoileus hemionus) in the underpass was unexpected, given relatively frequent detection in adjacent habitats. These results differed from the environmental assessment in that American badger was listed as \"potentially\" present while mule deer were expected to use the underpass. Results underscore importance of gathering data to document wildlife use of corridors, because some species do not or rarely take advantage of apparently suitable corridors, while others may be present when assumed to be absent.
","language":"English","publisher":"Loyola Marymount University","usgsCitation":"Longcore, T., Almaleh, L., Chetty, B., Francis, K., Freidin, R., Huang, C., Pickett, B., Schreck, D., Scruggs, B., Shulman, E., Swauger, A., Tashnek, A., Wright, M., and Boydston, E.E., 2018, Wildlife underpass use and environmental impact assessment: A southern California case study: Cities and the Environment, v. 11, no. 1, Article 4; 15 p.","productDescription":"Article 4; 15 p.","ipdsId":"IP-055382","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":360087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360075,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.lmu.edu/cate/vol11/iss1/4"}],"country":"United States","state":"California","county":"Los Angeles County","city":"Santa Clarita","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.51286888122557,\n 34.33698684186147\n ],\n [\n -118.50239753723143,\n 34.33698684186147\n ],\n [\n -118.50239753723143,\n 34.36263906919103\n ],\n [\n -118.51286888122557,\n 34.36263906919103\n ],\n [\n -118.51286888122557,\n 34.33698684186147\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0f897ae4b0c53ecb2c71ec","contributors":{"authors":[{"text":"Longcore, Travis","contributorId":211204,"corporation":false,"usgs":false,"family":"Longcore","given":"Travis","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":753398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Almaleh, 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Alissa","contributorId":211214,"corporation":false,"usgs":false,"family":"Swauger","given":"Alissa","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753408,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tashnek, Alison","contributorId":211215,"corporation":false,"usgs":false,"family":"Tashnek","given":"Alison","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753409,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wright, Michael","contributorId":211248,"corporation":false,"usgs":false,"family":"Wright","given":"Michael","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753410,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":753397,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70201252,"text":"70201252 - 2018 - Canid vs. canid: Insights into coyote–dog encounters from social media","interactions":[],"lastModifiedDate":"2020-12-16T14:47:04.189483","indexId":"70201252","displayToPublicDate":"2018-12-10T10:05:29","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1914,"text":"Human-Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Canid vs. canid: Insights into coyote–dog encounters from social media","docAbstract":"While the relationship between coyotes (Canis latrans) and house cats (Felis catus) may be characterized as one between predators and their prey, coyote interactions with domestic dogs (C. lupus familiaris) appear to be more varied and may include behaviors associated with canid sociality. While encounters between coyotes and dogs are difficult to observe, we capitalized on publicly available video recordings of coyote-dog encounters to observe canid behaviors and examined 35 video clips downloaded from YouTube during fall 2014. We identified coyote-dog interactions that were playful, agonistic, or predatory; those that we could not clearly categorize were labeled as other/undetermined. We found that both species were recorded directing play to the other species, which led to mutual play bouts. We observed a similar number of agonistic encounters, which included dogs biting coyotes and coyotes biting dogs. The main difference in agonistic behavior was that coyotes usually showed defensive aggression while dogs did not show defensive aggression. We also observed coyotes ambushing and bite-shaking small dogs in 3 video clips, from which the dogs escaped, but we did not see predatory behavior of dogs towards coyotes. Dog size may be related to types of interactions. No small dogs were involved in agonistic interactions, and only 1 small dog was observed playing with a coyote. From these videos, we conclude that the relationship between coyotes and dogs cannot be simply described as predator-prey; indeed, much of it appears to be social behavior divided between playful and agonistic. Future work that aims to explain the proximate correlates of play and aggression would provide more information for managers who wish to educate humans to reduce wildlife-human-dog conflicts.
","language":"English","publisher":"Utah State University- Berryman Institute","doi":"10.26077/ab4z-t030","usgsCitation":"Boydston, E.E., Abelson, E.S., Kazanjian, A., and Blumstein, D.T., 2018, Canid vs. canid: Insights into coyote–dog encounters from social media: Human-Wildlife Interactions, v. 12, no. 2, p. 233-242, https://doi.org/10.26077/ab4z-t030.","productDescription":"10 p.","startPage":"233","endPage":"242","ipdsId":"IP-091201","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":360086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0f897ae4b0c53ecb2c71f0","contributors":{"authors":[{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":753413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abelson, Eric S.","contributorId":211227,"corporation":false,"usgs":false,"family":"Abelson","given":"Eric","email":"","middleInitial":"S.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":753414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kazanjian, Ari","contributorId":211228,"corporation":false,"usgs":false,"family":"Kazanjian","given":"Ari","email":"","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":753415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blumstein, Daniel T.","contributorId":150453,"corporation":false,"usgs":false,"family":"Blumstein","given":"Daniel","email":"","middleInitial":"T.","affiliations":[{"id":18023,"text":"Ecology and Evolutionary Biology, UCLA","active":true,"usgs":false}],"preferred":false,"id":753416,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201268,"text":"70201268 - 2018 - Eco‐evolutionary rescue promotes host–pathogen coexistence","interactions":[],"lastModifiedDate":"2018-12-10T10:02:08","indexId":"70201268","displayToPublicDate":"2018-12-10T10:02:05","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Eco‐evolutionary rescue promotes host–pathogen coexistence","docAbstract":"Emerging infectious pathogens are responsible for some of the most severe host mass mortality events in wild populations. Yet, effective pathogen control strategies are notoriously difficult to identify, in part because quantifying and forecasting pathogen spread and disease dynamics is challenging. Following an outbreak, hosts must cope with the presence of the pathogen, leading to host–pathogen coexistence or extirpation. Despite decades of research, little is known about host–pathogen coexistence post‐outbreak when low host abundances and cryptic species make these interactions difficult to study. Using a novel disease‐structured N‐mixture model, we evaluate empirical support for three host–pathogen coexistence hypotheses (source–sink, eco‐evolutionary rescue, and spatial variation in pathogen transmission) in a Neotropical amphibian community decimated by Batrachochytrium dendrobatidis (Bd) in 2004. During 2010–2014, we surveyed amphibians in Parque Nacional G. D. Omar Torríjos Herrera, Coclé Province, El Copé, Panama. We found that the primary driver of host–pathogen coexistence was eco‐evolutionary rescue, as evidenced by similar amphibian survival and recruitment rates between infected and uninfected hosts. Average apparent monthly survival rates of uninfected and infected hosts were both close to 96%, and the expected number of uninfected and infected hosts recruited (via immigration/reproduction) was less than one host per disease state per 20‐m site. The secondary driver of host–pathogen coexistence was spatial variation in pathogen transmission as we found that transmission was highest in areas of low abundance but there was no support for the source–sink hypothesis. Our results indicate that changes in the host community (i.e., through genetic or species composition) can reduce the impacts of emerging infectious disease post‐outbreak. Our disease‐structured N‐mixture model represents a valuable advancement for conservation managers trying to understand underlying host–pathogen interactions and provides new opportunities to study disease dynamics in remnant host populations decimated by virulent pathogens.
","language":"English","publisher":"ESA","doi":"10.1002/eap.1792","usgsCitation":"DiRenzo, G.V., Zipkin, E.F., Campbell Grant, E.H., Royle, J.A., Longo, A.V., Zamudio, K.R., and Lips, K.R., 2018, Eco‐evolutionary rescue promotes host–pathogen coexistence: Ecological Applications, v. 28, no. 8, p. 1948-1962, https://doi.org/10.1002/eap.1792.","productDescription":"15 p.","startPage":"1948","endPage":"1962","ipdsId":"IP-082685","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.1792","text":"Publisher Index Page"},{"id":360085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-03","publicationStatus":"PW","scienceBaseUri":"5c0f897ae4b0c53ecb2c71f3","contributors":{"authors":[{"text":"DiRenzo, Graziella V.","contributorId":192177,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":753432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipkin, Elise F. 0000-0003-4155-6139","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":192755,"corporation":false,"usgs":false,"family":"Zipkin","given":"Elise","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":753433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Longo, Ana V.","contributorId":202587,"corporation":false,"usgs":false,"family":"Longo","given":"Ana","email":"","middleInitial":"V.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":753435,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zamudio, Kelly R.","contributorId":8320,"corporation":false,"usgs":true,"family":"Zamudio","given":"Kelly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":753436,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lips, Karen R.","contributorId":26258,"corporation":false,"usgs":true,"family":"Lips","given":"Karen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":753437,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70216176,"text":"70216176 - 2018 - Raptor selection of captive reared and released Galliform birds","interactions":[],"lastModifiedDate":"2020-11-09T15:16:17.115954","indexId":"70216176","displayToPublicDate":"2018-12-10T09:13:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Raptor selection of captive reared and released Galliform birds","docAbstract":"Captive rearing and release of birds in the order Galliformes remains a popular management tactic despite low survival rates. We investigated avian predator selection of captive‐reared northern bobwhites (Colinus virginianus) as a potential driver of their high mortality. We simulated avian predator hunts on a flushing pair of bobwhites during trials conducted from 6 February 2015 to 14 February 2015 in Texas, USA. When presented a choice of a captive‐reared bobwhite or wild bobwhite, a Harris's hawk (Parabuteo unicinctus) pursued a captive‐reared bobwhite in 8 of 10 flight trials. This selective rate, combined with observations from auxiliary research indicate avian predation may be a greater risk for captive‐reared birds than wild birds. The success of captive‐rearing and release efforts may benefit from a better understanding of how to more adequately prepare captive‐reared birds for release.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.925","usgsCitation":"Perkins, R., Boal, C.W., and Dabbert, C., 2018, Raptor selection of captive reared and released Galliform birds: Wildlife Society Bulletin, v. 42, no. 4, p. 713-715, https://doi.org/10.1002/wsb.925.","productDescription":"3 p.","startPage":"713","endPage":"715","ipdsId":"IP-094767","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499846,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/dd0cc4e3e57340598c5bf7989ca4d677","text":"External Repository"},{"id":380298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Nolan County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-100.1466,32.5213],[-100.1514,32.1645],[-100.1534,32.082],[-100.2377,32.0823],[-100.6698,32.0838],[-100.6681,32.3327],[-100.6643,32.5259],[-100.1466,32.5213]]]},\"properties\":{\"name\":\"Nolan\",\"state\":\"TX\"}}]}","volume":"42","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Perkins, R.","contributorId":244676,"corporation":false,"usgs":false,"family":"Perkins","given":"R.","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":804360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":804359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dabbert, C.B.","contributorId":244677,"corporation":false,"usgs":false,"family":"Dabbert","given":"C.B.","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":804361,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204565,"text":"70204565 - 2018 - Will increased storm surge frequency impact food availability for Semipalmated Sandpipers (Calidris pusilla) at the beginning of fall migration?","interactions":[],"lastModifiedDate":"2019-08-05T11:47:16","indexId":"70204565","displayToPublicDate":"2018-12-09T10:29:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"title":"Will increased storm surge frequency impact food availability for Semipalmated Sandpipers (Calidris pusilla) at the beginning of fall migration?","docAbstract":"Hatch-year Semipalmated Sandpipers (Calidris pusilla) use river deltas along the Beaufort Sea as their first stops during fall migration. However, these sites are subject to extreme changes in water levels that affect available foraging habitat. We examined relationships between timing of fall migration and storm surges, with respect to forage availability, using different water level scenarios to predict impacts on food availability for fueling migration at three river deltas. We compared available calories at observed water levels to modeled values derived from changes due to lunar tides (35% decline) and storm surges (58% decline). Peak use by shorebirds varied temporally among sites, while the peak in forage availability occurred late in the season, mismatched with the largest peak in migration at the most used river delta. Shifts in breeding phenology due to climate warming may allow shorebirds to migrate earlier and miss some storm surges, but this may create a mismatch between peak migration and greater food availability. Additionally, changes in climate will likely increase frequency and severity of storm surges that negatively impact availability of foraging habitat for migrant shorebirds.
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Jr.","contributorId":148345,"corporation":false,"usgs":false,"family":"Lathrop","given":"Richard","suffix":"Jr.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":806494,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Leites, Laura P.","contributorId":206013,"corporation":false,"usgs":false,"family":"Leites","given":"Laura","email":"","middleInitial":"P.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":806495,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Madlinger, Evan","contributorId":206014,"corporation":false,"usgs":false,"family":"Madlinger","given":"Evan","email":"","affiliations":[{"id":17659,"text":"Natural Resources Conservation Service","active":true,"usgs":false}],"preferred":false,"id":806496,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Matthews, Stephen 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Forest","active":true,"usgs":false}],"preferred":false,"id":806502,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Shirer, Rebecca","contributorId":206021,"corporation":false,"usgs":false,"family":"Shirer","given":"Rebecca","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":806503,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Skowronski, Nicholas S.","contributorId":206022,"corporation":false,"usgs":false,"family":"Skowronski","given":"Nicholas","email":"","middleInitial":"S.","affiliations":[{"id":37211,"text":"USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":806504,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Steele, Al","contributorId":206023,"corporation":false,"usgs":false,"family":"Steele","given":"Al","email":"","affiliations":[{"id":37220,"text":"USDA Forest Service, Northeastern Area State & Private 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M.","contributorId":206026,"corporation":false,"usgs":false,"family":"Turcotte","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":37220,"text":"USDA Forest Service, Northeastern Area State & Private Forestry","active":true,"usgs":false}],"preferred":false,"id":806509,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Weinstein, David A.","contributorId":206027,"corporation":false,"usgs":false,"family":"Weinstein","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":806510,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Yanez, Alfonso","contributorId":206028,"corporation":false,"usgs":false,"family":"Yanez","given":"Alfonso","email":"","affiliations":[{"id":37222,"text":"Shippensburg University","active":true,"usgs":false}],"preferred":false,"id":806511,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}} ,{"id":70203248,"text":"70203248 - 2018 - On the intensity of the magnetic superstorm of September 1909","interactions":[],"lastModifiedDate":"2019-05-02T09:08:58","indexId":"70203248","displayToPublicDate":"2018-12-09T07:30:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"On the intensity of the magnetic superstorm of September 1909","docAbstract":"Analysis is made of solar observations and ground‐based magnetometer data recording space weather before and during the magnetic superstorm of 25 September 1909. From these data, it is inferred that the storm was initiated by an interplanetary coronal‐mass ejection having a mean Sun‐to‐Earth velocity of ~1,679 km/s. The commencement pressure on the magnetopause was ~32.4 nPa, sufficient to compress the subsolar magnetopause radius to ~5.9 Earth radii. Early on in the evolution of the storm, low‐latitude geomagnetic disturbance exhibited extreme longitudinal asymmetry, something that can be attributed to substorm activity extending to low latitudes. For this storm, Dst attained a minimum of −595 nT, comparable to that of the great magnetic storm of March 1989 (−589 nT; the most intense storm in terms of Dst of the space age). These results inform projects focused on understanding and mitigating the deleterious effects of extreme space‐weather events.
The U.S. Geological Survey (USGS) collects a wide range of whole-water samples to test for the many physical and chemical constituents that represent stream conditions at the time of sampling to assess the quality of the Nation’s waters. During sampling efforts, in which a suspended-sediment concentration is one result among a broader suite of constituents, a sample is sometimes composited into a churn splitter and then subdivided for analysis. Five churn splitters—comprising three sizes and two different materials—used by the USGS were tested for single-withdrawal accuracy from one-half of full capacity and for multiple-withdrawal accuracy at varied volumes of fullness to see if churn splitters introduce bias during the collection of sediment samples. Both tests were similar to previously conducted tests for consistency, but the tests conducted in this report also attempted to answer questions that arose during previous evaluations of churn splitters. The purpose of this report is to inform sediment analysts about the capabilities and limitations of all available churn-splitter sizes and materials used by the USGS for the analysis of suspended sediment.
The results indicate that suspended-sediment samples and constituents absorbed into suspended sediment may have substantial bias errors when withdrawn from churn splitters. Results were affected by the settling velocity of sediment particles relative to the resuspension velocities induced by the churning, the effects of prior withdrawals of the water-sediment mixture, and the remaining volume in a churn splitter after samples were withdrawn.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185126","usgsCitation":"Barr, M.N., 2018, Evaluation of whole-water churn splitters for suspended-sediment sample collection and analysis: U.S. Geological Survey Scientific Investigations Report 2018–5126, 25 p., https://doi.org/10.3133/sir20185126.","productDescription":"iv, 25 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-086055","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":359821,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5126/coverthb.jpg"},{"id":359822,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5126/sir20185126.pdf","text":"Report","size":"2.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5126"}],"contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1440 Independence Road
Rolla, MO 65401
The Bi-State Distinct Population Segment (DPS) of greater sage-grouse (Centrocercus urophasianus, hereinafter “sage-grouse”) occupies parts of Alpine, Mono, and Inyo Counties in California, and parts of Douglas, Esmeralda, Lyon, Carson City, and Mineral Counties in Nevada and was proposed for listing as threatened under the Endangered Species Act (ESA) by the U.S. Fish and Wildlife Service (USFWS) in October 2013. In April 2015, the USFWS determined that the Bi-State DPS did not warrant listing under the ESA, but monitoring continued for assessment of long-term population stability (U.S. Fish and Wildlife Service, 2015a). Threats to this population include geographic isolation, expansion of single-leaf pinyon (Pinus monophylla) and Utah juniper (Juniperus osteosperma), anthropogenic activities, changes in historical wildfire cycles and the conversion of native shrubs to invasive annual grasslands, and recent changes in predator communities. As part of a broad long-term monitoring program, we used an integrated population model to estimate finite rate of population change (λ) of each subpopulation within the Bi-State DPS from 2003 to 2017. Since 2012, the Bi-State DPS experienced multiple years of drought conditions associated with periods of population decline across multiple populations. The 14-year average (λ) for the Bi-State DPS is 0.98 (95 percent CRI=0.70–1.31). Three subpopulations (Mount Grant, Fales, Bodie Hills) showed continued evidence of stability and growth as the average λ exceeded 1.0. Moreover, we implemented the first year of an experimental pre-nesting female and brood translocation program to bolster a critically low population of sage-grouse in Parker Meadows, California. Finally, we report summary statistics describing sage-grouse movements and relative abundance of avian predators across all years of the study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181177","collaboration":"Prepared in cooperation with the Bureau of Land Management, California Department of Fish and Wildlife, Nevada Department of Wildlife, and the U.S. Forest Service","usgsCitation":"Mathews, S.R., Coates, P.S., Prochazka, B.G., Ricca, M.A., Meyerpeter, M.B., Espinosa, S.P., Lisius, S., Gardner, S.C., and Delehanty, D.J., 2018, An integrated population model for greater sage-grouse (Centrocercus urophasianus) in the Bi-State Distinct Population Segment, California and Nevada, 2003–17: U.S. Geological Survey Open-File Report 2018-1177, 89 p., https://doi.org/10.3133/ofr20181177.","productDescription":"ix, 89 p.","onlineOnly":"Y","ipdsId":"IP-098330","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":360049,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1177/coverthb.jpg"},{"id":360050,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1177/ofr20181177.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2018-1177"}],"contact":"Director,
Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Sediments from the Upper Columbia River, Washington, USA, are contaminated with metals from smelting operations. We conducted short‐term and long‐term tests with the midge Chironomus dilutus and the amphipod Hyalella azteca and short‐term tests with the freshwater mussel Lampsilis siliquoidea with 54 sediments from the Upper Columbia River to characterize thresholds for toxicity of metals to benthic invertebrates. Test sediments were screened for toxicity by comparisons with low‐metal reference sediments. Toxic effects on amphipods occurred primarily in sediments from the upstream (riverine) reach, and toxic effects on midges occurred in sediments from both the upstream reach and the downstream (reservoir) reach. Little toxicity was observed in mussel tests. Toxicity thresholds (20% effect concentrations [EC20s]) for metals in sediment and porewater were estimated from logistic concentration–response models. Copper (Cu) concentrations in the simultaneously extracted metal fraction of sediments and bioavailable Cu in porewater, as characterized by biotic ligand models, had consistent associations with toxicity endpoints. Concentration–response models for sediment Cu produced EC20s for 6 endpoints, with long‐term amphipod survival and reproduction being the most sensitive. A logistic regression model fitted to an endpoint sensitivity distribution for sediment Cu predicted that approximately one‐half of the sediments tested would be toxic to at least one endpoint and that approximately 20% of test sediments would be toxic to more than half of the endpoints. These results indicate that sediments from the upstream reach of the Upper Columbia River, which contain high concentrations of metals associated with slags, cause a wide range of toxic effects in laboratory tests and are likely to have adverse effects on benthic invertebrate communities.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4276","usgsCitation":"Besser, J.M., Steevens, J.A., Kunz, J.L., Brumbaugh, W., Ingersoll, C.G., Cox, S.E., Mebane, C.A., Balistrieri, L.S., Sinclair, J.A., and MacDonald, D.D., 2018, Characterizing toxicity of metal‐contaminated sediments from the Upper Columbia River, Washington, USA, to benthic invertebrates: Environmental Toxicology and Chemistry, v. 37, no. 12, p. 3102-3114, https://doi.org/10.1002/etc.4276.","productDescription":"13 p.","startPage":"3102","endPage":"3114","ipdsId":"IP-097897","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":360059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Upper Columbia River","volume":"37","issue":"12","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-21","publicationStatus":"PW","scienceBaseUri":"5c0b957de4b0c53ecb2aca84","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, William G. 0000-0003-0081-375X","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":202358,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cox, Stephen E. 0000-0001-6614-8225 secox@usgs.gov","orcid":"https://orcid.org/0000-0001-6614-8225","contributorId":1642,"corporation":false,"usgs":true,"family":"Cox","given":"Stephen","email":"secox@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753289,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753290,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":753291,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sinclair, Jesse A.","contributorId":176180,"corporation":false,"usgs":false,"family":"Sinclair","given":"Jesse","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":753292,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"MacDonald, Donald D.","contributorId":176179,"corporation":false,"usgs":false,"family":"MacDonald","given":"Donald","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":753293,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70201219,"text":"70201219 - 2018 - Population viability analyses for three Macrhybopsis spp. of the Lower Missouri River","interactions":[],"lastModifiedDate":"2018-12-07T13:50:23","indexId":"70201219","displayToPublicDate":"2018-12-07T13:50:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Population viability analyses for three Macrhybopsis spp. of the Lower Missouri River","docAbstract":"Recent declines in three species of chubs that inhabit the lower Missouri River (shoal chub M. hyostoma, sicklefin chub M. meeki and sturgeon chub M. gelida) have become a concern in the management of their own populations and the endangered pallid sturgeon (Scaphirhynchus albus) that feeds on them. These chub populations encounter threats from fish predation and habitat loss. With the recent advancements in the understanding of the reproductive life history of these species, their declines have prompted development of population models and population viability analyses. For each species, we developed an age‐structured population matrix model with hierarchical stochasticity, which partitions parameter total variance into sampling and temporal components. Using these models, we found population growth rate of all three chub species decreased when stochasticity was added to the model. While examining sensitivity, we found individual fish growth, as measured by length‐at‐age, to impact population growth rate and depending on the species, could be up to four times more influential than overall survival, the next most sensitive parameter. Current survival rates have large temporal variance; more research into accuracy and factors that influence survival rates is needed.
","language":"English","publisher":"Wiley","doi":"10.1111/jai.13791","usgsCitation":"Albers, J.L., Wildhaber, M.L., and Green, N., 2018, Population viability analyses for three Macrhybopsis spp. of the Lower Missouri River: Journal of Applied Ichthyology, v. 34, no. 6, p. 1285-1292, https://doi.org/10.1111/jai.13791.","productDescription":"8 p.","startPage":"1285","endPage":"1292","ipdsId":"IP-081380","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468198,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13791","text":"Publisher Index Page"},{"id":437656,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZS2VF5","text":"USGS data release","linkHelpText":"Fecundity of Sicklefin (Macrhybopsis meeki) and Shoal Chub (M. hyostoma)"},{"id":360058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-19","publicationStatus":"PW","scienceBaseUri":"5c0b957de4b0c53ecb2aca86","contributors":{"authors":[{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Nicholas S. 0000-0002-8538-4191","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":202040,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753311,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201227,"text":"70201227 - 2018 - Analysis of multi-decadal wetland changes, and cumulative impact of multiple storms 1984 to 2017","interactions":[],"lastModifiedDate":"2018-12-07T13:41:19","indexId":"70201227","displayToPublicDate":"2018-12-07T13:41:14","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of multi-decadal wetland changes, and cumulative impact of multiple storms 1984 to 2017","docAbstract":"Land-cover classification analysis using Landsat satellite imagery acquired between 1984 and 2017 quantified short- (post-Hurricane Sandy) and long-term wetland-change trends along the Maryland and Virginia coasts between Metompkin Bay, VA and Ocean City, MD. Although there are limited options for upland migration of wetlands in the study area, regression analysis showed that wetland area increased slightly between 1984 and 2011, indicating that marsh aggradation rates were sufficient to maintain wetland elevation relative to mean sea level. Following Hurricane Irene (August 2011), the Halloween Nor’Easter (October 2011), and Hurricane Sandy (October 2012), wetland area decreased by more than 7 km2 compared with average pre-storm extents. We assume that Hurricane Sandy had the greatest impact due to the size and intensity of the storm. However, the cumulative effects of multiple storms within a short time period likely contributed to the greater observed losses in coastal wetlands relative to earlier periods. Five years after Hurricane Sandy, wetland area had not significantly recovered, but more time may be necessary to assess if the observed wetland losses will persist or if new growth within flooded marsh areas will be sufficient for the wetlands to recover to pre-storm extents. Comparisons of long-term and storm-driven wetland changes can lead to improved accuracy of habitat vulnerability models and greater understanding of potential impacts of future storms and SLR to coastal wetlands.
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