{"pageNumber":"665","pageRowStart":"16600","pageSize":"25","recordCount":40804,"records":[{"id":70043202,"text":"70043202 - 2013 - Amphibians and reptiles of Guyana, South America: illustrated keys, annotated species accounts, and a biogeographic synopsis","interactions":[],"lastModifiedDate":"2013-02-07T16:43:57","indexId":"70043202","displayToPublicDate":"2013-02-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3147,"text":"Proceedings of the Biological Society of Washington","active":true,"publicationSubtype":{"id":10}},"title":"Amphibians and reptiles of Guyana, South America: illustrated keys, annotated species accounts, and a biogeographic synopsis","docAbstract":"Guyana has a very distinctive herpetofauna. In this first ever detailed modern accounting, based on voucher specimens, we document the presence of 324 species of amphibians and reptiles in the country; 148 amphibians, 176 reptiles. Of these, we present species accounts for 317 species and color photographs of about 62% (Plates 1–40). At the rate that new species are being described and distributional records are being found for the first time, we suspect that at least 350 species will be documented in a few decades. The diverse herpetofauna includes 137 species of frogs and toads, 11 caecilians, 4 crocodylians, 4 amphisbaenians, 56 lizards, 97 snakes, and 15 turtles. Endemic species, which occur nowhere else in the world, comprise 15% of the herpetofauna. Most of the endemics are amphibians, comprising 27% of the amphibian fauna. Type localities (where the type specimens or scientific name-bearers of species were found) are located within Guyana for 24% of the herpetofauna, or 36% of the amphibians. This diverse fauna results from the geographic position of Guyana on the Guiana Shield and the isolated highlands or tepuis of the eastern part of the Pantepui Region, which are surrounded by lowland rainforest and savannas. Consequently, there is a mixture of local endemic species and widespread species characteristic of Amazonia and the Guianan Region. Although the size of this volume may mislead some people into thinking that a lot is known about the fauna of Guyana, the work has just begun. Many of the species are known from fewer than five individuals in scientific collections; for many the life history, distribution, ecology, and behavior remain poorly known; few resources in the country are devoted to developing such knowledge; and as far as we are aware, no other group of animals in the fauna of Guyana has been summarized in a volume such as this to document the biological resources. We briefly discuss aspects of biogeography, as reflected in samples collected at seven lowland sites (in rainforest, savanna, and mixed habitats below 500 m elevation) and three isolated highland sites (in montane forest and evergreen high-tepui forest above 1400 m elevation). Comparisons of these sites are preliminary because sampling of the local faunas remains incomplete. Nevertheless, it is certain that areas of about 2.5 km2 of lowland rainforest can support more than 130 species of amphibians and reptiles (perhaps actually more than 150), while many fewer species (fewer than 30 documented so far) occur in a comparable area of isolated highlands, where low temperatures, frequent cloudiness, and poor soils are relatively unfavorable for amphibians and reptiles. Furthermore, insufficient study has been done in upland sites of intermediate elevations, where lowland and highland faunas overlap significantly, although considerable work is being accomplished in Kaieteur National Park by other investigators. Comparisons of the faunas of the lowland and isolated highland sites showed that very few species occur in common in both the lowlands and isolated highlands; that those few are widespread lowland species that tolerate highland environments; that many endemic species (mostly amphibians) occur in the isolated highlands of the Pakaraima Mountains; and that each of the isolated highlands, lowland savannas, and lowland rainforests at these 10 sites have distinctive faunal elements. No two sites were identical in species composition. Much more work is needed to compare a variety of sites, and especially to incorporate upland sites of intermediate elevations in such comparisons. Five species of sea turtles utilize the limited areas of Atlantic coastal beaches to the northwest of Georgetown. All of these are listed by the International Union for the Conservation of Nature as being of global concern for long-term survival, mostly owing to human predation. The categories of Critically Endangered or Endangered are applied to four of the local sea turtles (80%). It is important to protect the few good nesting beaches for the sea turtles of Guyana. We have documented each of the species now known to comprise the herpetofauna of Guyana by citing specimens that exist in scientific collections, many of which were collected and identified by us and colleagues, including students of the University of Guyana (UG). We also re-identified many old museum specimens collected by others in the past (e.g., collections of William Beebe) and we used documented publications and collection records of colleagues, most of whom have been working more recently. We present dichotomous keys for identifying representatives of the species known to occur in Guyana, and we present brief annotated species accounts. The accounts provide the current scientific name, original name (with citation of the original description, which we personally examined in the literature), some outdated names used in the recent past, type specimens, type localities, general geographic distribution, examples of voucher specimens from Guyana, coloration in life (and often a color photograph), and comments pointing out interesting subjects for future research.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the Biological Society of Washington","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Biological Society of Washington","publisherLocation":"Lawrence, KS","doi":"10.2988/0006-324X-125.4.317","usgsCitation":"Cole, C.J., Townsend, C.R., Reynolds, R.P., MacCulloch, R.D., and Lathrop, A., 2013, Amphibians and reptiles of Guyana, South America: illustrated keys, annotated species accounts, and a biogeographic synopsis: Proceedings of the Biological Society of Washington, v. 125, no. 4, p. 317-578, https://doi.org/10.2988/0006-324X-125.4.317.","productDescription":"262 p.","startPage":"317","endPage":"578","ipdsId":"IP-039065","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":267136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267135,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2988/0006-324X-125.4.317"}],"country":"Guyana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -61.41,1.16 ], [ -61.41,8.55 ], [ -56.49,8.55 ], [ -56.49,1.16 ], [ -61.41,1.16 ] ] ] } } ] }","volume":"125","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5114cce3e4b0ca7af0743acf","contributors":{"authors":[{"text":"Cole, Charles J.","contributorId":105194,"corporation":false,"usgs":true,"family":"Cole","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":473163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Townsend, Carol R.","contributorId":8356,"corporation":false,"usgs":true,"family":"Townsend","given":"Carol","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":473160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Robert P. rpreynolds@usgs.gov","contributorId":3561,"corporation":false,"usgs":true,"family":"Reynolds","given":"Robert","email":"rpreynolds@usgs.gov","middleInitial":"P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":473159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacCulloch, Ross D.","contributorId":14688,"corporation":false,"usgs":true,"family":"MacCulloch","given":"Ross","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":473161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lathrop, Amy","contributorId":27179,"corporation":false,"usgs":true,"family":"Lathrop","given":"Amy","email":"","affiliations":[],"preferred":false,"id":473162,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043205,"text":"sir20125284 - 2013 - Assessment of macroinvertebrate communities in adjacent urban stream basins, Kansas City, Missouri, metropolitan area, 2007 through 2011","interactions":[],"lastModifiedDate":"2013-02-07T14:09:37","indexId":"sir20125284","displayToPublicDate":"2013-02-07T00:00:00","publicationYear":"2013","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":"2012-5284","title":"Assessment of macroinvertebrate communities in adjacent urban stream basins, Kansas City, Missouri, metropolitan area, 2007 through 2011","docAbstract":"Macroinvertebrates were collected as part of two separate urban water-quality studies from adjacent basins, the Blue River Basin (Kansas City, Missouri), the Little Blue River and Rock Creek Basins (Independence, Missouri), and their tributaries. Consistent collection and processing procedures between the studies allowed for statistical comparisons. Seven Blue River Basin sites, nine Little Blue River Basin sites, including Rock Creek, and two rural sites representative of Missouri ecological drainage units and the area’s ecoregions were used in the analysis. Different factors or levels of urban intensity may affect the basins and macroinvertebrate community metrics differently, even though both basins are substantially developed above their downstream streamgages (Blue River, 65 percent; Little Blue River, 52 percent). The Blue River has no flood control reservoirs and receives wastewater effluent and stormflow from a combined sewer system. The Little Blue River has flood control reservoirs, receives no wastewater effluent, and has a separate stormwater sewer system. Analysis of macroinvertebrate community structure with pollution-tolerance metrics and water-quality parameters indicated differences between the Blue River Basin and the Little Blue River Basin.\nA four-metric score (total taxa richness, Ephemeroptera plus Plecoptera plus Trichoptera taxa richness, Macroinvertebrate Biotic Index, and Shannon Diversity Index) for richest-targeted habitat was used to calculate a Stream Condition Index (SCI) in order to evaluate the aquatic-life status of the streams. About 80 percent of all samples combined were determined to be less than fully biologically supporting, and about 11 percent of spring samples were fully biologically supporting. No sites within the Blue River Basin had a fully supporting score. The aquatic-life status scores for the Little Blue River and its tributaries were higher (indicating more optimal conditions) than for the Blue River and its tributaries. Fall samples scored higher than spring samples. However, fall samples were collected at the Little Blue River Basin and rural sites only. The Little Blue River sites scored higher for fall samples than spring samples; about 39 percent fully biologically supporting and 61 percent partially biologically supporting; more similar to the rural comparison sites, 40 percent fully biologically supporting and 60 percent partially biologically supporting.\nThe SCI was compared to other multimetric indices with more or other component metrics to determine if the SCI effectively described differences among sites. Environmental variables (streamflow, water quality, land use, impervious cover, and population density) were used in statistical analyses to evaluate relations to macroinvertebrate metrics. Multimetric indices (MMIs) were modeled using step regression with a simple urban intensity index (SUII) based on percentage of impervious cover, population density, and forest cover in a 30-meter stream-buffer zone, and two were selected for further analysis. Three other multimetric indices composed of metrics common to local and national studies show results similar to the two modeled MMIs. A common Benthic Index of Biotic Integrity (R<sup>2</sup> equals 0.71) developed for a national study had the highest correlation with urban intensity as measured with the SUII, followed by a modeled 6-metric index (R<sup>2</sup> equals 0.61). The other MMIs and the SCI explained less than a half of the variability in macroinvertebrate communities in relation to the SUII.\nWastewater-treatment plant discharges during base flow, which elevated specific conductance and nutrient concentrations, combined sewer overflows, and nonpoint sources likely contributed to water-quality impairment and lower aquatic-life status at the Blue River Basin sites. Releases from upstream reservoirs to the Little Blue River likely decreased specific conductance, suspended-sediment, and dissolved constituent concentrations and may have benefitted water quality and aquatic life of main-stem sites. Chloride concentrations in base-flow samples, attributable to winter road salt application, had the highest correlation with the SUII (Spearman’s &rho; equals 0.87), were negatively correlated with the SCI (Spearman’s &rho; equals -0.53) and several pollution sensitive Ephemeroptera plus Plecoptera plus Trichoptera abundance and percent richness metrics, and were positively correlated with pollution tolerant Oligochaeta abundance and percent richness metrics. Study results show that the easily calculated SUII and the selected modeled multimetric indices are effective for comparing urban basins and for evaluation of water quality in the Kansas City metropolitan area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125284","collaboration":"Prepared in cooperation with the City of Independence, Missouri Water Pollution Control Department","usgsCitation":"Christensen, E.D., and Krempa, H., 2013, Assessment of macroinvertebrate communities in adjacent urban stream basins, Kansas City, Missouri, metropolitan area, 2007 through 2011: U.S. Geological Survey Scientific Investigations Report 2012-5284, viii, 45 p.; Tables, https://doi.org/10.3133/sir20125284.","productDescription":"viii, 45 p.; Tables","startPage":"i","endPage":"45","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-037625","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":267130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5284.gif"},{"id":267127,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5284/"},{"id":267128,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5284/sir2012-5284.pdf"},{"id":267129,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5284/downloads/tables.xlsx"}],"country":"United States","state":"Missouri","city":"Kansas City","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.7659,38.8272 ], [ -94.7659,39.3567 ], [ -94.3855,39.3567 ], [ -94.3855,38.8272 ], [ -94.7659,38.8272 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5114cd01e4b0ca7af0743ad3","contributors":{"authors":[{"text":"Christensen, Eric D. echriste@usgs.gov","contributorId":4230,"corporation":false,"usgs":true,"family":"Christensen","given":"Eric","email":"echriste@usgs.gov","middleInitial":"D.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krempa, Heather M.","contributorId":35612,"corporation":false,"usgs":true,"family":"Krempa","given":"Heather M.","affiliations":[],"preferred":false,"id":473168,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043200,"text":"ds709P - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Baghlan mineral district in Afghanistan: Chapter P in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","interactions":[],"lastModifiedDate":"2013-02-07T13:47:41","indexId":"ds709P","displayToPublicDate":"2013-02-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"709","chapter":"P","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Baghlan mineral district in Afghanistan: Chapter P in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the Baghlan mineral district, which has industrial clay and gypsum deposits. ALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA, 2006, 2007, 2008), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement. The selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. Therefore, it was necessary to (1) register the 10-m AVNIR multispectral imagery to a well-controlled Landsat image base, (2) mosaic the individual multispectral images into a single image of the entire area of interest, (3) register each panchromatic image to the registered multispectral image base, and (4) mosaic the individual panchromatic images into a single image of the entire area of interest. The two image-registration steps were facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band’s picture element based on the digital values of all picture elements within a 315-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’s local zone (42 for Baghlan) and the WGS84 datum. The final image mosaics were subdivided into two overlapping tiles or quadrants because of the large size of the target area. The two image tiles (or quadrants) for the Baghlan area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709P","collaboration":"Prepared in cooperation with the U.S. Department of Defense <a href=&quot;http://tfbso.defense.gov/www/&quot; target=&quot;_blank&quot;>Task Force for Business and Stability Operations</a> and the <a href=&quot;http://www.bgs.ac.uk/AfghanMinerals/&quot; target=&quot;_blank&quot;>Afghanistan Geological Survey</a>.  This report is Chapter P in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>. For more information, see: <a href=&quot;http://pubs.er.usgs.gov/publication/ds709&quot; target=&quot;_blank&quot;>Data Series 709</a>","usgsCitation":"Davis, P.A., and Cagney, L.E., 2013, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Baghlan mineral district in Afghanistan: Chapter P in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>: U.S. Geological Survey Data Series 709, HTML Document; Readme; 2 Maps; 4 Image Files; 4 Metadata; 1 Shapefile, https://doi.org/10.3133/ds709P.","productDescription":"HTML Document; Readme; 2 Maps; 4 Image Files; 4 Metadata; 1 Shapefile","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":267118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_709_p.png"},{"id":267113,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/p/index_maps/Baghlan_Area-of-Interest_Index_Map.pdf"},{"id":267111,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/p/"},{"id":267112,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/p/1_readme.txt"},{"id":267114,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/p/index_maps/Baghlan_Image_Index_Map.pdf"},{"id":267115,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/p/image_files/image_files.html"},{"id":267116,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/p/metadata/metadata.html"},{"id":267117,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/p/shapefiles/shapefiles.html"}],"country":"Afghanistan","otherGeospatial":"Baghlan Mineral District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.52,29.38 ], [ 60.52,38.49 ], [ 74.89,38.49 ], [ 74.89,29.38 ], [ 60.52,29.38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5114cd05e4b0ca7af0743adf","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":473151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagney, Laura E. 0000-0003-3282-2458 lcagney@usgs.gov","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":4744,"corporation":false,"usgs":true,"family":"Cagney","given":"Laura","email":"lcagney@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":473152,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043174,"text":"sir20125286 - 2013 - Analysis of changes in water-level dynamics at selected sites in the Florida Everglades","interactions":[],"lastModifiedDate":"2013-02-06T17:37:55","indexId":"sir20125286","displayToPublicDate":"2013-02-06T00:00:00","publicationYear":"2013","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":"2012-5286","title":"Analysis of changes in water-level dynamics at selected sites in the Florida Everglades","docAbstract":"The historical modification and regulation of the hydrologic patterns in the Florida Everglades have resulted in changes in the ecosystem of South Florida and the Florida Everglades. Since the 1970s, substantial focus has been given to the restoration of the Everglades ecosystem. The U.S. Geological Survey through its Greater Everglades Priority Ecosystem Science and National Water-Quality Assessment Programs has been providing scientific information to resource managers to assist in the Everglades restoration efforts. The current investigation included development of a simple method to identify and quantify changes in historical hydrologic behavior within the Everglades that could be used by researchers to identify responses of ecological communities to those changes. Such information then could be used by resource managers to develop appropriate water-management practices within the Everglades to promote restoration. The identification of changes in historical hydrologic behavior within the Everglades was accomplished by analyzing historical time-series water-level data from selected gages in the Everglades using (1) break-point analysis of cumulative Z-scores to identify hydrologic changes and (2) cumulative water-level frequency distribution curves to evaluate the magnitude of those changes. This analytical technique was applied to six long-term water-level gages in the Florida Everglades. The break-point analysis for the concurrent period of record (1978–2011) identified 10 common periods of changes in hydrologic behavior at the selected gages. The water-level responses at each gage for the 10 periods displayed similarity in fluctuation patterns, highlighting the interconnectedness of the Florida Everglades hydrologic system. While the patterns were similar, the analysis also showed that larger fluctuations in water levels between periods occurred in Water Conservation Areas 2 and 3 in contrast to those in Water Conservation Area 1 and the Everglades National Park. Results from the analysis indicate that the cumulative Z-score curve, in conjunction with cumulative water-level frequency distribution curves, can be a useful tool in identifying and quantifying changes in historical hydrologic behavior within the Everglades. In addition to the analysis, a spreadsheet application was developed to assist in applying these techniques to time-series water-level data at gages within the Everglades and is included with this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125286","collaboration":"Prepared as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science","usgsCitation":"Conrads, P., and Benedict, S., 2013, Analysis of changes in water-level dynamics at selected sites in the Florida Everglades: U.S. Geological Survey Scientific Investigations Report 2012-5286, v, 36 p.; ZEBRA Spreadsheet, https://doi.org/10.3133/sir20125286.","productDescription":"v, 36 p.; ZEBRA Spreadsheet","startPage":"i","endPage":"36","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":267083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5286.gif"},{"id":267082,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5286/ZEBRA_(Beta-Version).xlsx"},{"id":267080,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5286/"},{"id":267081,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5286/pdf/sir2012-5286.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.63,24.52 ], [ -87.63,31.0 ], [ -80.03,31.0 ], [ -80.03,24.52 ], [ -87.63,24.52 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51137b5fe4b0a9ee4115b9f8","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":473103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benedict, Stephen T. benedict@usgs.gov","contributorId":3198,"corporation":false,"usgs":true,"family":"Benedict","given":"Stephen T.","email":"benedict@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":473104,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043135,"text":"70043135 - 2013 - Hydrography change detection: the usefulness of surface channels derived From LiDAR DEMs for updating mapped hydrography","interactions":[],"lastModifiedDate":"2017-05-26T12:58:01","indexId":"70043135","displayToPublicDate":"2013-02-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Hydrography change detection: the usefulness of surface channels derived From LiDAR DEMs for updating mapped hydrography","docAbstract":"The 1:24,000-scale high-resolution National Hydrography Dataset (NHD) mapped hydrography flow lines require regular updating because land surface conditions that affect surface channel drainage change over time. Historically, NHD flow lines were created by digitizing surface water information from aerial photography and paper maps. Using these same methods to update nationwide NHD flow lines is costly and inefficient; furthermore, these methods result in hydrography that lacks the horizontal and vertical accuracy needed for fully integrated datasets useful for mapping and scientific investigations. Effective methods for improving mapped hydrography employ change detection analysis of surface channels derived from light detection and ranging (LiDAR) digital elevation models (DEMs) and NHD flow lines. In this article, we describe the usefulness of surface channels derived from LiDAR DEMs for hydrography change detection to derive spatially accurate and time-relevant mapped hydrography. The methods employ analyses of horizontal and vertical differences between LiDAR-derived surface channels and NHD flow lines to define candidate locations of hydrography change. These methods alleviate the need to analyze and update the nationwide NHD for time relevant hydrography, and provide an avenue for updating the dataset where change has occurred.","language":"English","publisher":"American Water Resources Association","publisherLocation":"Middleburg, VA","doi":"10.1111/jawr.12027","usgsCitation":"Poppenga, S.K., Gesch, D.B., and Worstell, B.B., 2013, Hydrography change detection: the usefulness of surface channels derived From LiDAR DEMs for updating mapped hydrography: Journal of the American Water Resources Association, v. 49, no. 2, p. 371-389, https://doi.org/10.1111/jawr.12027.","productDescription":"19 p.","startPage":"371","endPage":"389","ipdsId":"IP-035009","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jawr.12027","text":"Publisher Index Page"},{"id":267066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267042,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12027"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-28","publicationStatus":"PW","scienceBaseUri":"51137b6ae4b0a9ee4115ba00","contributors":{"authors":[{"text":"Poppenga, Sandra K. 0000-0002-2846-6836","orcid":"https://orcid.org/0000-0002-2846-6836","contributorId":84465,"corporation":false,"usgs":true,"family":"Poppenga","given":"Sandra","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":473029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Worstell, Bruce B. 0000-0001-8927-3336 worstell@usgs.gov","orcid":"https://orcid.org/0000-0001-8927-3336","contributorId":1815,"corporation":false,"usgs":true,"family":"Worstell","given":"Bruce","email":"worstell@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473027,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70128265,"text":"70128265 - 2013 - Assessing the risk of nitrogen deposition to natural resources in the Four Corners area","interactions":[],"lastModifiedDate":"2017-06-13T13:34:10","indexId":"70128265","displayToPublicDate":"2013-02-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Assessing the risk of nitrogen deposition to natural resources in the Four Corners area","docAbstract":"<p>Nitrogen (N) deposition in the western U.S. is on the rise and is already dramatically affecting terrestrial ecosystems. For example, N deposition has repeatedly been shown to lower air and water quality, increase greenhouse gas emissions, alter plant community composition, and significantly modify fire regimes. Accordingly, the effects of N deposition represent one of our largest environmental challenges and make difficult the National Park Service’s (NPS) important mission to “preserve the scenery and the natural and historic objects and the wildlife… unimpaired for the enjoyment of future generations”. Due to increased population growth and energy development (e.g., natural gas wells), the Four Corners region has become a notable ‘hotspot’ for N deposition. However, our understanding of how increased N deposition will affect these unique ecosystems, as well as how much deposition is actually occurring, remains notably poor. Here we used a multi-disciplinary approach to gathering information in an effort to help NPS safeguard the Four Corners national parks, both now and into the future. We applied modeling, field, and laboratory techniques to clarify current N deposition gradients and to help elucidate the ecosystem consequences of N deposition to the national parks of the Four Corners area. Our results suggest that NOx deposition does indeed represent a significant source of N to Mesa Verde National Park and, as expected, N deposition significantly affects coupled biogeochemical cycling (N, carbon, and phosphorus) of these landscapes. We also found some surprising results. For example, perhaps due to the low nutrient availability in these (and other) dryland ecosystems, although most other research suggests that adding N reduces N fixation rates, N additions did not consistently reduce natural N inputs via biological N2 fixation at our dryland sites. While the timeline of this pilot project is too brief to elucidate all the potential insight from the approach utilized here (e.g., we have fertilization plots to explore how N deposition affects Bromus tectorum invasion that will surely yield provoking results), we plan to continue this exciting line of questioning and expect further insight to be forthcoming. </p>","publisher":"National Park Service","usgsCitation":"Reed, S.C., Belnap, J., Floyd-Hanna, L., Crews, T., Herring, J., Hanna, D., Miller, M.E., Duniway, M.C., and Roybal, C.M., 2013, Assessing the risk of nitrogen deposition to natural resources in the Four Corners area, 53 p.","productDescription":"53 p.","startPage":"1","endPage":"53","ipdsId":"IP-044320","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":342432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294958,"type":{"id":11,"text":"Document"},"url":"https://www.nature.nps.gov/air/Pubs/pdf/2013_Reed_NDep_FinalDraft.pdf"}],"country":"United States ","otherGeospatial":"Arches National Park, Canyonland National Park, Mesa Verde National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.950439453125,\n              34.58799745550482\n            ],\n            [\n              -105.545654296875,\n              34.58799745550482\n            ],\n            [\n              -105.545654296875,\n              39.138581990583525\n            ],\n            [\n              -112.950439453125,\n              39.138581990583525\n            ],\n            [\n              -112.950439453125,\n              34.58799745550482\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5940f9b6e4b0764e6c63eae4","contributors":{"authors":[{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":519688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":519689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Floyd-Hanna, Lisa","contributorId":120188,"corporation":false,"usgs":true,"family":"Floyd-Hanna","given":"Lisa","affiliations":[],"preferred":false,"id":519696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crews, Tim","contributorId":119441,"corporation":false,"usgs":true,"family":"Crews","given":"Tim","email":"","affiliations":[],"preferred":false,"id":519694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herring, Jack","contributorId":119838,"corporation":false,"usgs":true,"family":"Herring","given":"Jack","email":"","affiliations":[],"preferred":false,"id":519695,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanna, Dave","contributorId":116556,"corporation":false,"usgs":true,"family":"Hanna","given":"Dave","email":"","affiliations":[],"preferred":false,"id":519693,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Mark E.","contributorId":91580,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":519692,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":519690,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roybal, Carla M. croybal@usgs.gov","contributorId":4935,"corporation":false,"usgs":true,"family":"Roybal","given":"Carla","email":"croybal@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":519691,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70043179,"text":"ofr20131005 - 2013 - Defining a data management strategy for USGS Chesapeake Bay studies","interactions":[],"lastModifiedDate":"2021-07-06T23:04:57.195617","indexId":"ofr20131005","displayToPublicDate":"2013-02-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1005","title":"Defining a data management strategy for USGS Chesapeake Bay studies","docAbstract":"The mission of U.S. Geological Survey’s (USGS) Chesapeake Bay studies is to provide integrated science for improved understanding and management of the Chesapeake Bay ecosystem. Collective USGS efforts in the Chesapeake Bay watershed began in the 1980s, and by the mid-1990s the USGS adopted the watershed as one of its national place-based study areas. Great focus and effort by the USGS have been directed toward Chesapeake Bay studies for almost three decades. The USGS plays a key role in using “ecosystem-based adaptive management, which will provide science to improve the efficiency and accountability of Chesapeake Bay Program activities” (Phillips, 2011). Each year USGS Chesapeake Bay studies produce published research, monitoring data, and models addressing aspects of bay restoration such as, but not limited to, fish health, water quality, land-cover change, and habitat loss. The USGS is responsible for collaborating and sharing this information with other Federal agencies and partners as described under the President’s Executive Order 13508—Strategy for Protecting and Restoring the Chesapeake Bay Watershed signed by President Obama in 2009. Historically, the USGS Chesapeake Bay studies have relied on national USGS databases to store only major nationally available sources of data such as streamflow and water-quality data collected through local monitoring programs and projects, leaving a multitude of other important project data out of the data management process. This practice has led to inefficient methods of finding Chesapeake Bay studies data and underutilization of data resources. Data management by definition is “the business functions that develop and execute plans, policies, practices and projects that acquire, control, protect, deliver and enhance the value of data and information.” (Mosley, 2008a). In other words, data management is a way to preserve, integrate, and share data to address the needs of the Chesapeake Bay studies to better manage data resources, work more efficiently with partners, and facilitate holistic watershed science. It is now the goal of the USGS Chesapeake Bay studies to implement an enhanced and all-encompassing approach to data management. This report discusses preliminary efforts to implement a physical data management system for program data that is not replicated nationally through other USGS databases.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131005","usgsCitation":"Ladino, C., 2013, Defining a data management strategy for USGS Chesapeake Bay studies: U.S. Geological Survey Open-File Report 2013-1005, iii, 7 p., https://doi.org/10.3133/ofr20131005.","productDescription":"iii, 7 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":267086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1005.gif"},{"id":267084,"type":{"id":15,"text":"Index 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ccladino@usgs.gov","contributorId":3514,"corporation":false,"usgs":true,"family":"Ladino","given":"Cassandra","email":"ccladino@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":473114,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70111686,"text":"70111686 - 2013 - Partial least squares for efficient models of fecal indicator bacteria on Great Lakes beaches","interactions":[],"lastModifiedDate":"2014-06-06T10:53:51","indexId":"70111686","displayToPublicDate":"2013-02-05T10:49:03","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Partial least squares for efficient models of fecal indicator bacteria on Great Lakes beaches","docAbstract":"At public beaches, it is now common to mitigate the impact of water-borne pathogens by posting a swimmer's advisory when the concentration of fecal indicator bacteria (FIB) exceeds an action threshold. Since culturing the bacteria delays public notification when dangerous conditions exist, regression models are sometimes used to predict the FIB concentration based on readily-available environmental measurements. It is hard to know which environmental parameters are relevant to predicting FIB concentration, and the parameters are usually correlated, which can hurt the predictive power of a regression model. Here the method of partial least squares (PLS) is introduced to automate the regression modeling process. Model selection is reduced to the process of setting a tuning parameter to control the decision threshold that separates predicted exceedances of the standard from predicted non-exceedances. The method is validated by application to four Great Lakes beaches during the summer of 2010. Performance of the PLS models compares favorably to that of the existing state-of-the-art regression models at these four sites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2012.09.033","usgsCitation":"Brooks, W.R., Fienen, M., and Corsi, S., 2013, Partial least squares for efficient models of fecal indicator bacteria on Great Lakes beaches: Journal of Environmental Management, v. 114, p. 470-475, https://doi.org/10.1016/j.jenvman.2012.09.033.","productDescription":"6 p.","startPage":"470","endPage":"475","ipdsId":"IP-030717","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":288141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288140,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jenvman.2012.09.033"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88,41.5 ], [ -88,46.5 ], [ -78,46.5 ], [ -78,41.5 ], [ -88,41.5 ] ] ] } } ] }","volume":"114","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae77a1e4b0abf75cf2c18c","contributors":{"authors":[{"text":"Brooks, Wesley R. wrbrooks@usgs.gov","contributorId":4217,"corporation":false,"usgs":true,"family":"Brooks","given":"Wesley","email":"wrbrooks@usgs.gov","middleInitial":"R.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":511,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494427,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044216,"text":"70044216 - 2013 - Population genetic structure of rare and endangered plants using molecular markers","interactions":[],"lastModifiedDate":"2018-01-05T12:37:57","indexId":"70044216","displayToPublicDate":"2013-02-05T05:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-036","title":"Population genetic structure of rare and endangered plants using molecular markers","docAbstract":"<div class=\"page\" title=\"Page 7\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p><span>This study was initiated to assess the levels of genetic diversity and differentiation in the remaining populations of <i>Phyllostegia stachyoides</i> and <i>Melicope zahlbruckneri</i> in Hawai`i Volcanoes National Park and determine the extent of gene flow to identify genetically distinct individuals or groups for conservation purposes. Thirty-six Amplified Fragment Length Polymorphic (AFLP) primer combinations generated a total of 3,242 polymorphic deoxyribonucleic acid (DNA) fragments in the <i>P. stachyoides</i> population with a percentage of polymorphic bands (PPB) ranging from 39.3 to 65.7% and 2,780 for the <i>M. zahlbruckneri</i> population with a PPB of 18.8 to 64.6%. Population differentiation (Fst) of AFLP loci between subpopulations of <i>P. stachyoides</i> was low (0.043) across populations. Analysis of molecular variance of <i>P. stachyoides</i> showed that 4% of the observed genetic differentiation occurred between populations in different k</span><span>ī</span><span>puka and 96% when individuals were pooled from all k</span><span>ī</span><span>puka. Moderate genetic diversity was detected within the <i>M. zahlbruckneri</i> population. Bayesian and multivariate analyses both classified the <i>P. stachyoides</i> and <i>M. zahlbruckneri</i> populations into genetic groups with considerable sub-structuring detected in the <i>P. stachyoides</i> population. The proportion of genetic differentiation among populations explained by geographical distance was estimated by Mantel tests. No spatial correlation was found between genetic and geographic distances in both populations. Finally, a moderate but significant gene flow that could be attributed to insect or bird-mediated dispersal of pollen across the different k</span><span>ī</span><span>puka was observed. The results of this study highlight the utility of a multi-allelic DNA-based marker in screening a large number of polymorphic loci in small and closely related endangered populations and revealed the presence of genetically unique groups of individuals in both <i>M. zahlbruckneri</i> and <i>P. stachyoides</i> populations. Based on these findings, approaches that can assist conservation efforts of these species are proposed.&nbsp;</span></p>\n</div>\n</div>\n</div>","language":"English","publisher":"University of Hawi'i at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Raji, J., and Atkinson, C.T., 2013, Population genetic structure of rare and endangered plants using molecular markers: Technical Report HCSU-036, iv, 42 p.","productDescription":"iv, 42 p.","numberOfPages":"48","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042186","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":325134,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai`i","otherGeospatial":"Hawai`i Volcanoes National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.401611328125,\n              19.241143039165962\n            ],\n            [\n              -155.401611328125,\n              19.535201464574232\n            ],\n            [\n              -155.1324462890625,\n              19.535201464574232\n            ],\n            [\n              -155.1324462890625,\n              19.241143039165962\n            ],\n            [\n              -155.401611328125,\n              19.241143039165962\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dd01ce4b0589fa1cbdc3c","contributors":{"authors":[{"text":"Raji, Jennifer","contributorId":172853,"corporation":false,"usgs":false,"family":"Raji","given":"Jennifer","email":"","affiliations":[{"id":13357,"text":"Hawaiʻi Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":517235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642273,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043143,"text":"tm7C10 - 2013 - Computing ordinary least-squares parameter estimates for the National Descriptive Model of Mercury in Fish","interactions":[],"lastModifiedDate":"2013-02-05T16:04:45","indexId":"tm7C10","displayToPublicDate":"2013-02-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C10","title":"Computing ordinary least-squares parameter estimates for the National Descriptive Model of Mercury in Fish","docAbstract":"A specialized technique is used to compute weighted ordinary least-squares (OLS) estimates of the parameters of the National Descriptive Model of Mercury in Fish (NDMMF) in less time using less computer memory than general methods. The characteristics of the NDMMF allow the two products <i><b>X'X</i></b> and <i><b>X'y</i></b> in the normal equations to be filled out in a second or two of computer time during a single pass through the N data observations. As a result, the matrix <i><b>X</i></b> does not have to be stored in computer memory and the computationally expensive matrix multiplications generally required to produce <i><b>X'X</i></b> and <i><b>X'y</i></b> do not have to be carried out. The normal equations may then be solved to determine the best-fit parameters in the OLS sense. The computational solution based on this specialized technique requires O(8<i>p</i><sup>2</sup>+16<i>p</i>) bytes of computer memory for <i>p</i> parameters on a machine with 8-byte double-precision numbers. This publication includes a reference implementation of this technique and a Gaussian-elimination solver in preliminary custom software.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Computer programs in Book 7 <i>Automated Data Processing and Computations</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C10","collaboration":"This report is Chapter 10 of Section C: Computer programs in Book 7 <i>Automated Data Processing and Computations</i>","usgsCitation":"Donato, D.I., 2013, Computing ordinary least-squares parameter estimates for the National Descriptive Model of Mercury in Fish: U.S. Geological Survey Techniques and Methods 7-C10, iii, 9 p.; Appendix, https://doi.org/10.3133/tm7C10.","productDescription":"iii, 9 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":267063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_c10.gif"},{"id":267060,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/07/c10/"},{"id":267062,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/07/c10/Ols.zip"},{"id":267061,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c10/pdf/tm7-c10.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511229e3e4b0ebe69d7eb5fc","contributors":{"authors":[{"text":"Donato, David I. 0000-0002-5412-0249 didonato@usgs.gov","orcid":"https://orcid.org/0000-0002-5412-0249","contributorId":2234,"corporation":false,"usgs":true,"family":"Donato","given":"David","email":"didonato@usgs.gov","middleInitial":"I.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":473038,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043164,"text":"ds709O - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the South Helmand mineral district in Afghanistan: Chapter O in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","interactions":[],"lastModifiedDate":"2013-02-06T14:05:56","indexId":"ds709O","displayToPublicDate":"2013-02-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"709","chapter":"O","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the South Helmand mineral district in Afghanistan: Chapter O in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the South Helmand mineral district, which has travertine deposits. ALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA, 2008, 2010), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement. The selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. Therefore, it was necessary to (1) register the 10-m AVNIR multispectral imagery to a well-controlled Landsat image base, (2) mosaic the individual multispectral images into a single image of the entire area of interest, (3) register each panchromatic image to the registered multispectral image base, and (4) mosaic the individual panchromatic images into a single image of the entire area of interest. The two image-registration steps were facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band’s picture element based on the digital values of all picture elements within a 500-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’s local zone (41 for South Helmand) and the WGS84 datum. The final image mosaics were subdivided into eight overlapping tiles or quadrants because of the large size of the target area. The eight image tiles (or quadrants) for the South Helmand area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709O","collaboration":"Prepared in cooperation with the U.S. Department of Defense <a href=\"http://tfbso.defense.gov/www/\" target=\"_blank\">Task Force for Business and Stability Operations</a> and the <a href=\"http://www.bgs.ac.uk/AfghanMinerals/\" target=\"_blank\">Afghanistan Geological Survey</a>.  This report is Chapter O in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>. For more information, see: <a href=\"http://pubs.er.usgs.gov/publication/ds709\" target=\"_blank\">Data Series 709</a>.","usgsCitation":"Davis, P.A., and Cagney, L.E., 2013, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the South Helmand mineral district in Afghanistan: Chapter O in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>: U.S. Geological Survey Data Series 709, Readme; 2 Maps: 11 x 8.5 inches and 80.06 x 34.65 inches; 16 Image Files; 16 Metadata Files; 1 Shapefile; DS 709, https://doi.org/10.3133/ds709O.","productDescription":"Readme; 2 Maps: 11 x 8.5 inches and 80.06 x 34.65 inches; 16 Image Files; 16 Metadata Files; 1 Shapefile; DS 709","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-01-24","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":267079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_709_O.jpg"},{"id":267071,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/o/1_readme.txt"},{"id":267072,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/o/index_maps/index_maps.html"},{"id":267073,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/o/index_maps/South_Helmand_Area-of-Interest_Index_Map.pdf"},{"id":267070,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/o/"},{"id":267074,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/o/index_maps/South_Helmand_Image_Index_Map.pdf"},{"id":267075,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/o/image_files/image_files.html"},{"id":267076,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/o/metadata/metadata.html"},{"id":267077,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/709/o/shapefiles/shapefiles.html"},{"id":267078,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/709/index.html"}],"country":"Afghanistan","otherGeospatial":"South Helmand Mineral District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 63.25,29.25 ], [ 63.25,30.0 ], [ 65.0,30.0 ], [ 65.0,29.25 ], [ 63.25,29.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51138978e4b0a9ee4115ba28","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":473093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagney, Laura E. 0000-0003-3282-2458 lcagney@usgs.gov","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":4744,"corporation":false,"usgs":true,"family":"Cagney","given":"Laura","email":"lcagney@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":473094,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045219,"text":"70045219 - 2013 - Temporal shifts in top-down vs. bottom-up control of epiphytic algae in a seagrass ecosystem","interactions":[],"lastModifiedDate":"2024-04-19T21:10:24.024228","indexId":"70045219","displayToPublicDate":"2013-02-01T16:09:09","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal shifts in top-down vs. bottom-up control of epiphytic algae in a seagrass ecosystem","docAbstract":"<p><span>In coastal marine food webs, small invertebrate herbivores (mesograzers) have long been hypothesized to occupy an important position facilitating dominance of habitat-forming macrophytes by grazing competitively superior epiphytic algae. Because of the difficulty of manipulating mesograzers in the field, however, their impacts on community organization have rarely been rigorously documented. Understanding mesograzer impacts has taken on increased urgency in seagrass systems due to declines in seagrasses globally, caused in part by widespread eutrophication favoring seagrass overgrowth by faster-growing algae. Using cage-free field experiments in two seasons (fall and summer), we present experimental confirmation that mesograzer reduction and nutrients can promote blooms of epiphytic algae growing on eelgrass (</span><i>Zostera marina</i><span>). In this study, nutrient additions increased epiphytes only in the fall following natural decline of mesograzers. In the summer, experimental mesograzer reduction stimulated a 447% increase in epiphytes, appearing to exacerbate seasonal dieback of eelgrass. Using structural equation modeling, we illuminate the temporal dynamics of complex interactions between macrophytes, mesograzers, and epiphytes in the summer experiment. An unexpected result emerged from investigating the interaction network: drift macroalgae indirectly reduced epiphytes by providing structure for mesograzers, suggesting that the net effect of macroalgae on seagrass depends on macroalgal density. Our results show that mesograzers can control proliferation of epiphytic algae, that top-down and bottom-up forcing are temporally variable, and that the presence of macroalgae can strengthen top-down control of epiphytic algae, potentially contributing to eelgrass persistence.</span></p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/12-0156.1","usgsCitation":"Whalen, M.A., Duffy, J.E., and Grace, J.B., 2013, Temporal shifts in top-down vs. bottom-up control of epiphytic algae in a seagrass ecosystem: Ecology, v. 94, no. 2, p. 510-520, https://doi.org/10.1890/12-0156.1.","productDescription":"11 p.","startPage":"510","endPage":"520","ipdsId":"IP-035382","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":487244,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.wm.edu/vimsarticles/1732","text":"External Repository"},{"id":364455,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515d4161e4b0803bd2eec4fb","contributors":{"authors":[{"text":"Whalen, Matthew A.","contributorId":94180,"corporation":false,"usgs":true,"family":"Whalen","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":517643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, J. Emmett","contributorId":78186,"corporation":false,"usgs":true,"family":"Duffy","given":"J.","email":"","middleInitial":"Emmett","affiliations":[],"preferred":false,"id":517642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":517641,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047359,"text":"70047359 - 2013 - Representing the acquisition and use of energy by individuals in agent-based models of animal populations","interactions":[],"lastModifiedDate":"2013-08-01T15:57:24","indexId":"70047359","displayToPublicDate":"2013-02-01T15:53:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Representing the acquisition and use of energy by individuals in agent-based models of animal populations","docAbstract":"1. Agent-based models (ABMs) are widely used to predict how populations respond to changing environments. As the availability of food varies in space and time, individuals should have their own energy budgets, but there is no consensus as to how these should be modelled. Here, we use knowledge of physiological ecology to identify major issues confronting the modeller and to make recommendations about how energy budgets for use in ABMs should be constructed.\n<br>\n<br>\n2. Our proposal is that modelled animals forage as necessary to supply their energy needs for maintenance, growth and reproduction. If there is sufficient energy intake, an animal allocates the energy obtained in the order: maintenance, growth, reproduction, energy storage, until its energy stores reach an optimal level. If there is a shortfall, the priorities for maintenance and growth/reproduction remain the same until reserves fall to a critical threshold below which all are allocated to maintenance. Rates of ingestion and allocation depend on body mass and temperature. We make suggestions for how each of these processes should be modelled mathematically.\n<br>\n<br>\n3. Mortality rates vary with body mass and temperature according to known relationships, and these can be used to obtain estimates of background mortality rate.\n<br>\n<br>\n4. If parameter values cannot be obtained directly, then values may provisionally be obtained by parameter borrowing, pattern-oriented modelling, artificial evolution or from allometric equations.\n<br>\n<br>\n5. The development of ABMs incorporating individual energy budgets is essential for realistic modelling of populations affected by food availability. Such ABMs are already being used to guide conservation planning of nature reserves and shell fisheries, to assess environmental impacts of building proposals including wind farms and highways and to assess the effects on nontarget organisms of chemicals for the control of agricultural pests.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210x.12002","usgsCitation":"Sibly, R.M., Grimm, V., Martin, B.T., Johnston, A., Kulakowska, K., Topping, C.J., Calow, P., Nabe-Nielsen, J., Thorbek, P., and DeAngelis, D., 2013, Representing the acquisition and use of energy by individuals in agent-based models of animal populations: Methods in Ecology and Evolution, v. 4, no. 2, p. 151-161, https://doi.org/10.1111/2041-210x.12002.","productDescription":"11 p.","startPage":"151","endPage":"161","numberOfPages":"11","ipdsId":"IP-037071","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473955,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/2041-210x.12002","text":"External Repository"},{"id":275897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275896,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/2041-210x.12002"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-11-16","publicationStatus":"PW","scienceBaseUri":"51fbca7fe4b04b00e3d890d1","contributors":{"authors":[{"text":"Sibly, Richard M.","contributorId":104383,"corporation":false,"usgs":true,"family":"Sibly","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grimm, Volker","contributorId":89656,"corporation":false,"usgs":true,"family":"Grimm","given":"Volker","email":"","affiliations":[],"preferred":false,"id":481826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Benjamin T.","contributorId":13122,"corporation":false,"usgs":true,"family":"Martin","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":481819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnston, Alice","contributorId":32438,"corporation":false,"usgs":true,"family":"Johnston","given":"Alice","email":"","affiliations":[],"preferred":false,"id":481821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kulakowska, Katarzyna","contributorId":37237,"corporation":false,"usgs":true,"family":"Kulakowska","given":"Katarzyna","email":"","affiliations":[],"preferred":false,"id":481823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Topping, Christopher J.","contributorId":25851,"corporation":false,"usgs":true,"family":"Topping","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Calow, Peter","contributorId":76215,"corporation":false,"usgs":true,"family":"Calow","given":"Peter","email":"","affiliations":[],"preferred":false,"id":481824,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nabe-Nielsen, Jacob","contributorId":12767,"corporation":false,"usgs":true,"family":"Nabe-Nielsen","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":481818,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorbek, Pernille","contributorId":35058,"corporation":false,"usgs":true,"family":"Thorbek","given":"Pernille","email":"","affiliations":[],"preferred":false,"id":481822,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":481825,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70047360,"text":"70047360 - 2013 - Trait contributions to fish community assembly emerge from trophicinteractions in an individual-based model","interactions":[],"lastModifiedDate":"2013-08-01T15:50:16","indexId":"70047360","displayToPublicDate":"2013-02-01T15:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Trait contributions to fish community assembly emerge from trophicinteractions in an individual-based model","docAbstract":"Community ecology seeks to understand and predict the characteristics of communities that can develop under different environmental conditions, but most theory has been built on analytical models that are limited in the diversity of species traits that can be considered simultaneously. We address that limitation with an individual-based model to simulate assembly of fish communities characterized by life history and trophic interactions with multiple physiological tradeoffs as constraints on species performance. Simulation experiments were carried out to evaluate the distribution of 6 life history and 4 feeding traits along gradients of resource productivity and prey accessibility. These experiments revealed that traits differ greatly in importance for species sorting along the gradients. Body growth rate emerged as a key factor distinguishing community types and defining patterns of community stability and coexistence, followed by egg size and maximum body size. Dominance by fast-growing, relatively large, and fecund species occurred more frequently in cases where functional responses were saturated (i.e. high productivity and/or prey accessibility). Such dominance was associated with large biomass fluctuations and priority effects, which prevented richness from increasing with productivity and may have limited selection on secondary traits, such as spawning strategies and relative size at maturation. Our results illustrate that the distribution of species traits and the consequences for community dynamics are intimately linked and strictly dependent on how the benefits and costs of these traits are balanced across different conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2012.12.003","usgsCitation":"Giacomini, H.C., DeAngelis, D., Trexler, J.C., and Petrere, M., 2013, Trait contributions to fish community assembly emerge from trophicinteractions in an individual-based model: Ecological Modelling, v. 251, p. 32-43, https://doi.org/10.1016/j.ecolmodel.2012.12.003.","productDescription":"12 p.","startPage":"32","endPage":"43","numberOfPages":"12","ipdsId":"IP-042265","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":275895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275894,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2012.12.003"}],"volume":"251","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fbca84e4b04b00e3d8912d","contributors":{"authors":[{"text":"Giacomini, Henrique C.","contributorId":62913,"corporation":false,"usgs":true,"family":"Giacomini","given":"Henrique","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald","contributorId":30126,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","affiliations":[],"preferred":false,"id":481828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trexler, Joel C.","contributorId":36267,"corporation":false,"usgs":false,"family":"Trexler","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":481829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrere, Miguel Jr.","contributorId":84655,"corporation":false,"usgs":true,"family":"Petrere","given":"Miguel","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":481831,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199859,"text":"70199859 - 2013 - Modeling plant species distributions under future climates: how fine scale do climate projections need to be?","interactions":[],"lastModifiedDate":"2018-10-01T14:47:22","indexId":"70199859","displayToPublicDate":"2013-02-01T14:46:36","publicationYear":"2013","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":"Modeling plant species distributions under future climates: how fine scale do climate projections need to be?","docAbstract":"<p><span>Recent studies suggest that species distribution models (SDMs) based on fine‐scale climate data may provide markedly different estimates of climate‐change impacts than coarse‐scale models. However, these studies disagree in their conclusions of how scale influences projected species distributions. In rugged terrain, coarse‐scale climate grids may not capture topographically controlled climate variation at the scale that constitutes microhabitat or refugia for some species. Although finer scale data are therefore considered to better reflect climatic conditions experienced by species, there have been few formal analyses of how modeled distributions differ with scale. We modeled distributions for 52 plant species endemic to the California Floristic Province of different life forms and range sizes under recent and future climate across a 2000‐fold range of spatial scales (0.008–16&nbsp;km</span><sup>2</sup><span>). We produced unique current and future climate datasets by separately downscaling 4 km climate models to three finer resolutions based on 800, 270, and 90&nbsp;m digital elevation models and deriving bioclimatic predictors from them. As climate‐data resolution became coarser, SDMs predicted larger habitat area with diminishing spatial congruence between fine‐ and coarse‐scale predictions. These trends were most pronounced at the coarsest resolutions and depended on climate scenario and species' range size. On average, SDMs projected onto 4 km climate data predicted 42% more stable habitat (the amount of spatial overlap between predicted current and future climatically suitable habitat) compared with 800&nbsp;m data. We found only modest agreement between areas predicted to be stable by 90 m models generalized to 4 km grids compared with areas classified as stable based on 4&nbsp;km models, suggesting that some climate refugia captured at finer scales may be missed using coarser scale data. These differences in projected locations of habitat change may have more serious implications than net habitat area when predictive maps form the basis of conservation decision making.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12051","usgsCitation":"Franklin, J., Davis, F.W., Ikegami, M., Syphard, A.D., Flint, L.E., Flint, A.L., and Hannah, L., 2013, Modeling plant species distributions under future climates: how fine scale do climate projections need to be?: Global Change Biology, v. 19, no. 2, p. 473-483, https://doi.org/10.1111/gcb.12051.","productDescription":"11 p.","startPage":"473","endPage":"483","ipdsId":"IP-041557","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":473956,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/75k42636","text":"External 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Barbara","active":true,"usgs":false}],"preferred":false,"id":746942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":746938,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":746936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hannah, Lee","contributorId":208392,"corporation":false,"usgs":false,"family":"Hannah","given":"Lee","email":"","affiliations":[{"id":16938,"text":"Conservation International","active":true,"usgs":false}],"preferred":false,"id":746941,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048507,"text":"70048507 - 2013 - Dynamics of seabird colonies vulnerable to sea-level rise at French Frigate Shoals, Hawai`i","interactions":[],"lastModifiedDate":"2016-10-19T13:57:41","indexId":"70048507","displayToPublicDate":"2013-02-01T14:21:10","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":257,"text":"Hawai‘i Cooperative Studies Unit Technical Report","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"HCSU-037","title":"Dynamics of seabird colonies vulnerable to sea-level rise at French Frigate Shoals, Hawai`i","docAbstract":"Globally, seabirds are vulnerable to anthropogenic threats both at sea and on land. Seabirds \ntypically nest colonially and show strong site fidelity; therefore, conservation strategies could \nbenefit from an understanding of the population dynamics and vulnerability of breeding colonies \nto climate change. More than 350 atolls exist across the Pacific Ocean; while they provide \nnesting habitat for many seabirds, they are also vulnerable to sea-level rise. We used French \nFrigate Shoals, the largest atoll in the Hawaiian Archipelago, as a case study to explore seabird \ncolony dynamics and the potential consequences of sea-level rise. We compiled a unique \ncombination of data sets: historical observations of islands and seabirds, a 30-year time series \nof population abundance, LiDAR- (light detection and ranging) derived elevations, and satellite\nimagery. To model population dynamics for ten species at Tern Island from 1980 to 2009, we \nused the Gompertz model with parameters for the population growth rate, density dependence, \nprocess variation, and observation error. We used a Bayesian approach to estimate the \nparameters. All species increased in a pattern that provided evidence of density dependence. \nDensity dependence may exacerbate the consequences of sea-level rise on seabirds because \nspecies that are already near the carrying capacity of the nesting habitat will be limited more \nthan species that still have space for population growth. Laysan Albatross (<i>Phoebastria \nimmutabilis</i>), Great Frigatebird (<i>Fregata minor</i>), Red-tailed Tropicbird (<i>Phaethon rubricauda</i>),\nMasked Booby (<i>Sula dactylatra</i>), Gray-backed Tern (<i>Onychoprion lunatus</i>), and White Tern\n(<i>Gygis alba</i>) are likely already at carrying capacity at Tern Island and therefore are most likely \nto be negatively impacted by sea-level rise. We project 12% of French Frigate Shoals (excluding \nLa Perouse Pinnacle) will be inundated with +1.0 m sea-level rise or 32% with +2.0 m. Gray-backed Terns that nest along the coastal perimeters of islands and shrub-nesting species that \nare habitat limited are especially vulnerable to sea-level rise. However, at Tern Island, seawalls\nand habitat creation may mitigate projected seabird population declines due to habitat loss. We \npredict substantial losses in seabird nesting habitat across the low-lying Hawaiian Islands by \n2100 and emphasize the need to restore higher elevation seabird colonies.","language":"English","publisher":"University of Hawai‘i at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Reynolds, M.H., Courtot, K., Krause, C.M., Seavy, N., Hartzell, P., and Hatfield, J.S., 2013, Dynamics of seabird colonies vulnerable to sea-level rise at French Frigate Shoals, Hawai`i: Hawai‘i Cooperative Studies Unit Technical Report HCSU-037, iv, 32 p.","productDescription":"iv, 32 p.","numberOfPages":"38","ipdsId":"IP-042488","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":279192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279191,"type":{"id":15,"text":"Index Page"},"url":"https://hilo.hawaii.edu/hcsu/publications.php"}],"country":"United States","state":"Hawai'i","otherGeospatial":"French Frigate Shoals","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -179.89,14.96 ], [ -179.89,35.48 ], [ -151.24,35.48 ], [ -151.24,14.96 ], [ -179.89,14.96 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96ace4b0c629af44dda3","contributors":{"authors":[{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":484874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Courtot, Karen N.","contributorId":26909,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen N.","affiliations":[],"preferred":false,"id":484876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krause, Crystal M.","contributorId":101919,"corporation":false,"usgs":true,"family":"Krause","given":"Crystal","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seavy, Nathaniel E.","contributorId":19829,"corporation":false,"usgs":true,"family":"Seavy","given":"Nathaniel E.","affiliations":[],"preferred":false,"id":484875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartzell, Paula","contributorId":69050,"corporation":false,"usgs":true,"family":"Hartzell","given":"Paula","email":"","affiliations":[],"preferred":false,"id":484877,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatfield, Jeff S.","contributorId":95187,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeff","email":"","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":484878,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118092,"text":"70118092 - 2013 - Ecosystem engineering varies spatially: a test of the vegetation modification paradigm for prairie dogs","interactions":[],"lastModifiedDate":"2014-07-25T14:37:11","indexId":"70118092","displayToPublicDate":"2013-02-01T14:16:29","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1446,"text":"Ecography: Pattern and Diversity in Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem engineering varies spatially: a test of the vegetation modification paradigm for prairie dogs","docAbstract":"Colonial, burrowing herbivores can be engineers of grassland and shrubland ecosystems worldwide. Spatial variation in landscapes suggests caution when extrapolating single-place studies of single species, but lack of data and the need to generalize often leads to ‘model system’ thinking and application of results beyond appropriate statistical inference. Generalizations about the engineering effects of prairie dogs (<i>Cynomys</i> sp.) developed largely from intensive study at a single complex of black-tailed prairie dogs <i>C. ludovicianus</i> in northern mixed prairie, but have been extrapolated to other ecoregions and prairie dog species in North America, and other colonial, burrowing herbivores. We tested the paradigm that prairie dogs decrease vegetation volume and the cover of grasses and tall shrubs, and increase bare ground and forb cover. We sampled vegetation on and off 279 colonies at 13 complexes of 3 prairie dog species widely distributed across 5 ecoregions in North America. The paradigm was generally supported at 7 black-tailed prairie dog complexes in northern mixed prairie, where vegetation volume, grass cover, and tall shrub cover were lower, and bare ground and forb cover were higher, on colonies than at paired off-colony sites. Outside the northern mixed prairie, all 3 prairie dog species consistently reduced vegetation volume, but their effects on cover of plant functional groups varied with prairie dog species and the grazing tolerance of dominant perennial grasses. White-tailed prairie dogs <i>C. leucurus</i> in sagebrush steppe did not reduce shrub cover, whereas black-tailed prairie dogs suppressed shrub cover at all complexes with tall shrubs in the surrounding habitat matrix. Black-tailed prairie dogs in shortgrass steppe and Gunnison's prairie dogs <i>C. gunnisoni</i> in Colorado Plateau grassland both had relatively minor effects on grass cover, which may reflect the dominance of grazing-tolerant shortgrasses at both complexes. Variation in modification of vegetation structure may be understood in terms of the responses of different dominant perennial grasses to intense defoliation and differences in foraging behavior among prairie dog species. Spatial variation in the engineering role of prairie dogs suggests spatial variation in their keystone role, and spatial variation in the roles of other ecosystem engineers. Thus, ecosystem engineering can have a spatial component not evident from single-place studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecography: Pattern and Diversity in Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell","publisherLocation":"New York, NY","doi":"10.1111/j.1600-0587.2012.07614.x","usgsCitation":"Baker, B.W., Augustine, D., Sedgwick, J., and Lubow, B., 2013, Ecosystem engineering varies spatially: a test of the vegetation modification paradigm for prairie dogs: Ecography: Pattern and Diversity in Ecology, v. 36, no. 2, p. 230-239, https://doi.org/10.1111/j.1600-0587.2012.07614.x.","productDescription":"10 p.","startPage":"230","endPage":"239","numberOfPages":"10","costCenters":[],"links":[{"id":291024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291023,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0587.2012.07614.x"}],"volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-04-04","publicationStatus":"PW","scienceBaseUri":"57f7f357e4b0bc0bec0a090b","contributors":{"authors":[{"text":"Baker, Bruce W. bakerb@usgs.gov","contributorId":95401,"corporation":false,"usgs":true,"family":"Baker","given":"Bruce","email":"bakerb@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":496275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augustine, David J.","contributorId":36849,"corporation":false,"usgs":true,"family":"Augustine","given":"David J.","affiliations":[],"preferred":false,"id":496272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sedgwick, James A.","contributorId":55350,"corporation":false,"usgs":true,"family":"Sedgwick","given":"James A.","affiliations":[],"preferred":false,"id":496273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lubow, Bruce C.","contributorId":59520,"corporation":false,"usgs":true,"family":"Lubow","given":"Bruce C.","affiliations":[],"preferred":false,"id":496274,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148070,"text":"70148070 - 2013 - Integration of bed characteristics, geochemical tracers, current measurements, and numerical modeling for assessing the provenance of beach sand in the San Francisco Bay Coastal System","interactions":[],"lastModifiedDate":"2020-06-09T14:39:36.762609","indexId":"70148070","displayToPublicDate":"2013-02-01T12:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Integration of bed characteristics, geochemical tracers, current measurements, and numerical modeling for assessing the provenance of beach sand in the San Francisco Bay Coastal System","docAbstract":"<p><span>Over 150</span><span>&nbsp;</span><span>million m</span><sup>3</sup><span>&nbsp;of sand-sized sediment has disappeared from the central region of the San Francisco Bay Coastal System during the last half century. This enormous loss may reflect numerous anthropogenic influences, such as watershed damming, bay-fill development, aggregate mining, and dredging. The reduction in Bay sediment also appears to be linked to a reduction in sediment supply and recent widespread erosion of adjacent beaches, wetlands, and submarine environments. A unique, multi-faceted provenance study was performed to definitively establish the primary sources, sinks, and transport pathways of beach-sized sand in the region, thereby identifying the activities and processes that directly limit supply to the outer coast. This integrative program is based on comprehensive surficial sediment sampling of the San Francisco Bay Coastal System, including the seabed, Bay floor, area beaches, adjacent rock units, and major drainages. Analyses of sample morphometrics and biological composition (e.g., Foraminifera) were then integrated with a suite of tracers including&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr and&nbsp;</span><sup>143</sup><span>Nd/</span><sup>144</sup><span>Nd isotopes, rare earth elements, semi-quantitative X-ray diffraction mineralogy, and heavy minerals, and with process-based numerical modeling, in situ current measurements, and bedform asymmetry to robustly determine the provenance of beach-sized sand in the region.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2012.11.008","usgsCitation":"Barnard, P., Foxgrover, A.C., Elias, E.P., Erikson, L., Hein, J.R., McGann, M., Mizell, K., Rosenbauer, R.J., Swarzenski, P.W., Takesue, R.K., Wong, F.L., and Woodrow, D., 2013, Integration of bed characteristics, geochemical tracers, current measurements, and numerical modeling for assessing the provenance of beach sand in the San Francisco Bay Coastal System: Marine Geology, v. 345, p. 181-206, https://doi.org/10.1016/j.margeo.2012.11.008.","productDescription":"26 p.","startPage":"181","endPage":"206","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042895","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay coastal system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.0084228515625,\n              37.06394430056685\n            ],\n            [\n              -121.168212890625,\n              37.06394430056685\n            ],\n            [\n              -121.168212890625,\n              38.36750215395045\n            ],\n            [\n              -123.0084228515625,\n              38.36750215395045\n            ],\n            [\n              -123.0084228515625,\n              37.06394430056685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"345","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555c5eb5e4b0a92fa7eacbff","contributors":{"authors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":138921,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Edwin P.L.","contributorId":47295,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","email":"","middleInitial":"P.L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":3170,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547151,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":2849,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547153,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosenbauer, Robert J. brosenbauer@usgs.gov","contributorId":204,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"Robert","email":"brosenbauer@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547148,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547155,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547156,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547150,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Woodrow, Don dwoodrow@usgs.gov","contributorId":4068,"corporation":false,"usgs":true,"family":"Woodrow","given":"Don","email":"dwoodrow@usgs.gov","affiliations":[],"preferred":true,"id":547149,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70046974,"text":"70046974 - 2013 - Regional contingencies in the relationship between aboveground Bbomass and litter in the world’s grasslands","interactions":[],"lastModifiedDate":"2013-07-12T12:47:17","indexId":"70046974","displayToPublicDate":"2013-02-01T12:39:11","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Regional contingencies in the relationship between aboveground Bbomass and litter in the world’s grasslands","docAbstract":"Based on regional-scale studies, aboveground production and litter decomposition are thought to positively covary, because they are driven by shared biotic and climatic factors. Until now we have been unable to test whether production and decomposition are generally coupled across climatically dissimilar regions, because we lacked replicated data collected within a single vegetation type across multiple regions, obfuscating the drivers and generality of the association between production and decomposition. Furthermore, our understanding of the relationships between production and decomposition rests heavily on separate meta-analyses of each response, because no studies have simultaneously measured production and the accumulation or decomposition of litter using consistent methods at globally relevant scales. Here, we use a multi-country grassland dataset collected using a standardized protocol to show that live plant biomass (an estimate of aboveground net primary production) and litter disappearance (represented by mass loss of aboveground litter) do not strongly covary. Live biomass and litter disappearance varied at different spatial scales. There was substantial variation in live biomass among continents, sites and plots whereas among continent differences accounted for most of the variation in litter disappearance rates. Although there were strong associations among aboveground biomass, litter disappearance and climatic factors in some regions (e.g. U.S. Great Plains), these relationships were inconsistent within and among the regions represented by this study. These results highlight the importance of replication among regions and continents when characterizing the correlations between ecosystem processes and interpreting their global-scale implications for carbon flux. We must exercise caution in parameterizing litter decomposition and aboveground production in future regional and global carbon models as their relationship is complex.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0054988","usgsCitation":"O’Halloran, L., Borer, E.T., Seabloom, E.W., MacDougall, A.S., Cleland, E., McCulley, R.L., Hobbie, S., Harpole, W.S., DeCrappeo, N.M., Chu, C., Bakker, J.D., Davies, K.F., Du, G., Firn, J., Hagenah, N., Hofmockel, K.S., Knops, J.M., Li, W., Melbourne, B.A., Morgan, J.W., Orrock, J., Prober, S.M., and Stevens, C.J., 2013, Regional contingencies in the relationship between aboveground Bbomass and litter in the world’s grasslands: PLoS ONE, v. 8, no. 2, e54988, 9 p., https://doi.org/10.1371/journal.pone.0054988.","productDescription":"e54988, 9 p.","ipdsId":"IP-044989","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473961,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0054988","text":"Publisher Index Page"},{"id":274924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274869,"type":{"id":15,"text":"Index Page"},"url":"https://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0054988"},{"id":274923,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0054988"}],"otherGeospatial":"Earth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-06","publicationStatus":"PW","scienceBaseUri":"51e1256fe4b02f5cae2b73ce","contributors":{"authors":[{"text":"O’Halloran, Lydia R.","contributorId":72280,"corporation":false,"usgs":true,"family":"O’Halloran","given":"Lydia R.","affiliations":[],"preferred":false,"id":480761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borer, Elizabeth T.","contributorId":45049,"corporation":false,"usgs":false,"family":"Borer","given":"Elizabeth","email":"","middleInitial":"T.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":480755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seabloom, Eric W.","contributorId":60762,"corporation":false,"usgs":false,"family":"Seabloom","given":"Eric","email":"","middleInitial":"W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":480757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacDougall, Andrew S.","contributorId":39509,"corporation":false,"usgs":true,"family":"MacDougall","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":480754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cleland, Elsa E.","contributorId":92790,"corporation":false,"usgs":true,"family":"Cleland","given":"Elsa E.","affiliations":[],"preferred":false,"id":480768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCulley, Rebecca L.","contributorId":102197,"corporation":false,"usgs":true,"family":"McCulley","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hobbie, Sarah","contributorId":64973,"corporation":false,"usgs":true,"family":"Hobbie","given":"Sarah","affiliations":[],"preferred":false,"id":480758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harpole, W. 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,{"id":70118057,"text":"70118057 - 2013 - VisTrails SAHM: visualization and workflow management for species habitat modeling","interactions":[],"lastModifiedDate":"2018-09-21T11:22:56","indexId":"70118057","displayToPublicDate":"2013-02-01T11:48:13","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1446,"text":"Ecography: Pattern and Diversity in Ecology","active":true,"publicationSubtype":{"id":10}},"title":"VisTrails SAHM: visualization and workflow management for species habitat modeling","docAbstract":"The Software for Assisted Habitat Modeling (SAHM) has been created to both expedite habitat modeling and help maintain a record of the various input data, pre- and post-processing steps and modeling options incorporated in the construction of a species distribution model through the established workflow management and visualization VisTrails software. This paper provides an overview of the VisTrails:SAHM software including a link to the open source code, a table detailing the current SAHM modules, and a simple example modeling an invasive weed species in Rocky Mountain National Park, USA.","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0587.2012.07815.x","usgsCitation":"Morisette, J.T., Jarnevich, C.S., Holcombe, T.R., Talbert, C., Ignizio, D.A., Talbert, M., Silva, C., Koop, D., Swanson, A., and Young, N.E., 2013, VisTrails SAHM: visualization and workflow management for species habitat modeling: Ecography: Pattern and Diversity in Ecology, v. 36, no. 2, p. 129-135, https://doi.org/10.1111/j.1600-0587.2012.07815.x.","productDescription":"7 p.","startPage":"129","endPage":"135","numberOfPages":"7","ipdsId":"IP-037234","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":291001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291000,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0587.2012.07815.x"}],"volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-25","publicationStatus":"PW","scienceBaseUri":"57f7f357e4b0bc0bec0a090f","contributors":{"authors":[{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":496200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holcombe, Tracy R. holcombet@usgs.gov","contributorId":3694,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","email":"holcombet@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbert, Colin B. talbertc@usgs.gov","contributorId":147948,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin B.","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":496209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":139842,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew","email":"dignizio@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":496207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbert, Marian mtalbert@usgs.gov","contributorId":5180,"corporation":false,"usgs":true,"family":"Talbert","given":"Marian","email":"mtalbert@usgs.gov","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":496203,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Silva, Claudio","contributorId":48486,"corporation":false,"usgs":true,"family":"Silva","given":"Claudio","email":"","affiliations":[],"preferred":false,"id":496204,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koop, David","contributorId":83845,"corporation":false,"usgs":true,"family":"Koop","given":"David","email":"","affiliations":[],"preferred":false,"id":496206,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swanson, Alan","contributorId":99054,"corporation":false,"usgs":true,"family":"Swanson","given":"Alan","email":"","affiliations":[],"preferred":false,"id":496208,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Young, Nicholas E.","contributorId":58572,"corporation":false,"usgs":true,"family":"Young","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496205,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70169894,"text":"70169894 - 2013 - Intercontinental dispersal of bacteria and archaea by transpacific winds","interactions":[],"lastModifiedDate":"2016-03-29T10:33:37","indexId":"70169894","displayToPublicDate":"2013-02-01T11:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Intercontinental dispersal of bacteria and archaea by transpacific winds","docAbstract":"<p><span>Microorganisms are abundant in the upper atmosphere, particularly downwind of arid regions, where winds can mobilize large amounts of topsoil and dust. However, the challenge of collecting samples from the upper atmosphere and reliance upon culture-based characterization methods have prevented a comprehensive understanding of globally dispersed airborne microbes. In spring 2011 at the Mt. Bachelor Observatory in North America (2.8 km above sea level), we captured enough microbial biomass in two transpacific air plumes to permit a microarray analysis using 16S rRNA genes. Thousands of distinct bacterial taxa spanning a wide range of phyla and surface environments were detected before, during, and after each Asian long-range transport event. Interestingly, the transpacific plumes delivered higher concentrations of taxa already in the background air (particularly Proteobacteria, Actinobacteria, and Firmicutes). While some bacterial families and a few marine archaea appeared for the first and only time during the plumes, the microbial community compositions were similar, despite the unique transport histories of the air masses. It seems plausible, when coupled with atmospheric modeling and chemical analysis, that microbial biogeography can be used to pinpoint the source of intercontinental dust plumes. Given the degree of richness measured in our study, the overall contribution of Asian aerosols to microbial species in North American air warrants additional investigation.</span></p>","language":"English","publisher":"American Society for Microbiology","publisherLocation":"Washington, D.C.","doi":"10.1128/AEM.03029-12","usgsCitation":"D. Smith, Timonen, H., D. Jaffe, Griffin, D.W., M. Birmele, Perry, K., Ward, P., and M. Roberts, 2013, Intercontinental dispersal of bacteria and archaea by transpacific winds: Applied and Environmental Microbiology, v. 79, no. 4, p. 1134-1139, https://doi.org/10.1128/AEM.03029-12.","productDescription":"6 p.","startPage":"1134","endPage":"1139","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039222","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473963,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aem.03029-12","text":"External Repository"},{"id":319574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fba7ade4b0a6037df1a156","contributors":{"authors":[{"text":"D. Smith","contributorId":168340,"corporation":false,"usgs":false,"family":"D. Smith","affiliations":[{"id":25260,"text":"University of Washington, Department of Biology, Seattle, WA, U","active":true,"usgs":false}],"preferred":false,"id":625505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Timonen, H.","contributorId":168341,"corporation":false,"usgs":false,"family":"Timonen","given":"H.","email":"","affiliations":[{"id":25259,"text":"University of Washington-Bothell, Department of Atmospheric Sci","active":true,"usgs":false}],"preferred":false,"id":625506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D. Jaffe","contributorId":168339,"corporation":false,"usgs":false,"family":"D. Jaffe","affiliations":[{"id":25259,"text":"University of Washington-Bothell, Department of Atmospheric Sci","active":true,"usgs":false}],"preferred":false,"id":625504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":625503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"M. Birmele","contributorId":168342,"corporation":false,"usgs":false,"family":"M. Birmele","affiliations":[{"id":25261,"text":"NASA Kennedy Space Center, ESC Team QNA, Kennedy Space Center,","active":true,"usgs":false}],"preferred":false,"id":625507,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, K.D.","contributorId":168351,"corporation":false,"usgs":false,"family":"Perry","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":625533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, P.D.","contributorId":90514,"corporation":false,"usgs":true,"family":"Ward","given":"P.D.","email":"","affiliations":[],"preferred":false,"id":625534,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"M. Roberts","contributorId":168343,"corporation":false,"usgs":false,"family":"M. Roberts","affiliations":[{"id":25261,"text":"NASA Kennedy Space Center, ESC Team QNA, Kennedy Space Center,","active":true,"usgs":false}],"preferred":false,"id":625508,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70043586,"text":"70043586 - 2013 - Consumption of freshwater bivalves by muskrats in the Green River, Kentucky","interactions":[],"lastModifiedDate":"2013-11-07T14:12:33","indexId":"70043586","displayToPublicDate":"2013-02-01T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Consumption of freshwater bivalves by muskrats in the Green River, Kentucky","docAbstract":"Muskrats (Ondatra zibethicus) are known to prey on freshwater bivalves (mussels and clams) and can negatively impact imperiled mussel species. However, factors that influence muskrat predation on bivalves are poorly understood. We evaluated the feeding ecology of muskrats in the Green River, Kentucky, by using stable isotope analysis of muskrat hair samples and by monitoring bivalve shell deposition at muskrat middens. Bayesian mixing-model analysis of stable isotope δ<sup>15</sup>N and δ<sup>13</sup>C ratios revealed that the median muskrat biomass derived from bivalves was 51.4% (5th and 95th percentiles were 39.1 to 63.4%, respectively), a much higher dietary proportion than previously reported. Shell depositions by muskrats at middens decreased with the availability of seasonal emergent vegetation, suggesting that the consumption of animal matter is in response to a scarcity of plant foods, perhaps exacerbated by the altered flow regimes on the Green River. Our results add to the growing body of evidence that muskrats have the potential to impact mussel population growth and recovery in some environments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Midland Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-170.2.248","usgsCitation":"Hersey, K.A., Clark, J.D., and Layzer, J.B., 2013, Consumption of freshwater bivalves by muskrats in the Green River, Kentucky: American Midland Naturalist, v. 170, no. 2, p. 248-259, https://doi.org/10.1674/0003-0031-170.2.248.","productDescription":"12 p.","startPage":"248","endPage":"259","numberOfPages":"12","ipdsId":"IP-040714","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":278933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278930,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1674/0003-0031-170.2.248"}],"country":"United States","state":"Kentucky","otherGeospatial":"Mammoth Cave National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.267057,37.097446 ], [ -86.267057,37.270453 ], [ -86.023803,37.270453 ], [ -86.023803,37.097446 ], [ -86.267057,37.097446 ] ] ] } } ] }","volume":"170","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cc48be4b0850ea050ce3d","contributors":{"authors":[{"text":"Hersey, Kimberly Asmus","contributorId":98619,"corporation":false,"usgs":true,"family":"Hersey","given":"Kimberly","email":"","middleInitial":"Asmus","affiliations":[],"preferred":false,"id":473901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Layzer, James B. jim_layzer@usgs.gov","contributorId":1917,"corporation":false,"usgs":true,"family":"Layzer","given":"James","email":"jim_layzer@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":473899,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048536,"text":"70048536 - 2013 - Monitoring the status of forests and rangelands in the Western United States using ecosystem performance anomalies","interactions":[],"lastModifiedDate":"2013-10-24T10:39:43","indexId":"70048536","displayToPublicDate":"2013-02-01T10:28:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the status of forests and rangelands in the Western United States using ecosystem performance anomalies","docAbstract":"The effects of land management and disturbance on ecosystem performance (i.e. biomass production) are often confounded by those of weather and site potential. The current study overcomes this issue by calculating the difference between actual and expected ecosystem performance (EEP) to generate ecosystem performance anomalies (EPA). This study aims to delineate and quantify average EPA from 2000–2009 within the Greater Platte and Upper Colorado River Basins, USA. Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) images averaged over the growing season (GSN) served as a proxy of actual ecosystem performance. Yearly EEP was determined with rule-based piecewise regression tree models of abiotic data (climate, soils, elevation, etc.), independently created for each land cover. EPA were calculated as the residuals of the EEP to GSN relationship, and characterized as normal performing, underperforming, and overperforming at the 90% confidence level. Validation revealed that EPA values were related to biomass production (R<sup>2</sup> = 0.56, P = 0.02) and likely to the proportion of biomass removed by livestock in the Nebraska Sandhills. Overall, 60.6% of the study area was (normal) performing near its EEP, 3.0% was severely underperforming, 5.0% was highly overperforming, and the remainder was slightly underperforming or overperforming. Generally, disturbances such as fires, floods, and insect damage, in addition to high grazing intensity, result in a negative EPA. Conversely, mature stands and appropriate management often result in positive EPA values. This method provides information critical to land managers to evaluate the appropriateness of previous management practices and restoration efforts and quantify disturbance impacts. Results are at a scale sufficient for many of the large management units of the region and for locating areas needing further investigation. Applications of EPA data to monitoring invasive species, grazing impacts, and vulnerability to plant community shifts have been suggested by land management professionals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2013.772311","usgsCitation":"Rigge, M.B., Wylie, B., Gu, Y., Belnap, J., Phuyal, K.P., and Tieszen, L., 2013, Monitoring the status of forests and rangelands in the Western United States using ecosystem performance anomalies: International Journal of Remote Sensing, v. 34, no. 11, p. 4049-4068, https://doi.org/10.1080/01431161.2013.772311.","productDescription":"20 p.","startPage":"4049","endPage":"4068","numberOfPages":"20","ipdsId":"IP-037558","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":278369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278368,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2013.772311"}],"country":"United States","state":"Arizona;Colorado;Kansas;Nebraska;New Mexico;South Dakota;Utah;Wyoming","otherGeospatial":"Greater Platte;Upper Colorado River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.27,33.33 ], [ -112.27,43.68 ], [ -96.09,43.68 ], [ -96.09,33.33 ], [ -112.27,33.33 ] ] ] } } ] }","volume":"34","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"526a4172e4b0c0d229f9f682","contributors":{"authors":[{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","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":484995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":107996,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[],"preferred":false,"id":484999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":484994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":484996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phuyal, Khem P.","contributorId":28517,"corporation":false,"usgs":true,"family":"Phuyal","given":"Khem","email":"","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":484997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tieszen, Larry","contributorId":63907,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","affiliations":[],"preferred":false,"id":484998,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118532,"text":"70118532 - 2013 - Temporal and spatial distribution of alteration, mineralization and fluid inclusions in the transitional high-sulfidation epithermal-porphyry copper system at Red Mountain, Arizona","interactions":[],"lastModifiedDate":"2014-07-29T09:51:51","indexId":"70118532","displayToPublicDate":"2013-02-01T09:48:39","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial distribution of alteration, mineralization and fluid inclusions in the transitional high-sulfidation epithermal-porphyry copper system at Red Mountain, Arizona","docAbstract":"<p>Red Mountain, Arizona, is a Laramide porphyry Cu system (PCD) that has experienced only a modest level of erosion compared to most other similar deposits in the southwestern United States. As a result, the upper portion of the magmatic–hydrothermal system, which represents the transition from shallower high-sulfidation epithermal mineralization to deeper porphyry Cu mineralization, is well preserved.</p>\n<br/>\n<p>Within the Red Mountain system, alteration, mineralization and fluid inclusion assemblages show a systematic distribution in both time and space. Early-potassic alteration (characterized by the minerals biotite and magnetite) is paragenetically earlier than late-potassic alteration (K-feldspar–anhydrite) and both are followed by later phyllic (sericite–pyrite) alteration. Advanced argillic alteration (pyrophyllite–alunite–other clay minerals) is thought to be coeval with or postdate phyllic alteration. Minerals characteristic of advanced argillic alteration are present in the near surface. Phyllic alteration extends to greater depths compared to advanced argillic alteration. Early-potassic and late-potassic alteration are only observed in the deepest part of the system. Considerable overlap of phyllic alteration with both early-potassic and late-potassic alteration zones is observed.</p>\n<br/>\n<p>The hypogene mineralization contains 0.4–1.2% Cu and is spatially and temporally related to the late-potassic alteration event. Molybdenum concentration is typically < 300 ppm but positive anomalies (between 600 and 1200 ppm) occur, and typically correlate with the zones of higher Cu grades. Silver and Au range up to 50 ppm and 1 ppm, respectively, and mostly occur in the deeper parts of the system. Individual assays of up to 18 ppm Au and 274 ppm Ag in the shallower part of the system are interpreted to be associated with areas of highly focused fluid flow (i.e., breccias and thick veins). A near-surface, discontinuous chalcocite blanket is represented by scattered Cu anomalies within the mixed oxide/sulfide zone and its discontinuous nature may reflect differential permeability along fractures and faults.</p>\n<br/>\n<p>In the deepest part of the system, an early generation of low-to-moderate density and salinity liquid + vapor inclusions with opaque daughter minerals is followed in time by halite-bearing inclusions that also contain opaque daughter minerals indicating that an early intermediate-density magmatic fluid evolved to a high-density, high-salinity mineralizing fluid. The increase in density and salinity of fluids with time observed in the deeper parts of the system may be the result of immiscibility (“boiling”) of the earlier magmatic fluids or may reflect the compositional evolution of fluids that exsolved from the magma. Trails of inclusions consisting of only vapor-rich inclusions are common in the shallow parts of the system, and are associated with advanced argillic alteration, suggesting that intense boiling (“flashing”) occurred at (or below) this level. Fluid inclusion assemblages consisting of coexisting vapor-rich and halite-bearing inclusions are observed in samples extending from the surface to the upper part of the late-potassic zone, indicating that fluid immiscibility occurred within this depth interval.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geochemical Exploration","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier Science","publisherLocation":"Amsterdam","doi":"10.1016/j.gexplo.2012.11.017","usgsCitation":"Lecumberri-Sanchez, P., Newton, M.C., Westman, E.C., Kamilli, R.J., Canby, V.M., and Bodnar, R.J., 2013, Temporal and spatial distribution of alteration, mineralization and fluid inclusions in the transitional high-sulfidation epithermal-porphyry copper system at Red Mountain, Arizona: Journal of Geochemical Exploration, v. 125, p. 80-93, https://doi.org/10.1016/j.gexplo.2012.11.017.","productDescription":"14 p.","startPage":"80","endPage":"93","numberOfPages":"14","costCenters":[],"links":[{"id":291253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291252,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gexplo.2012.11.017"}],"country":"United States","state":"Arizona","otherGeospatial":"Red Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.709564,33.531061 ], [ -111.709564,33.549661 ], [ -111.677549,33.549661 ], [ -111.677549,33.531061 ], [ -111.709564,33.531061 ] ] ] } } ] }","volume":"125","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f357e4b0bc0bec0a0913","contributors":{"authors":[{"text":"Lecumberri-Sanchez, Pilar","contributorId":30554,"corporation":false,"usgs":true,"family":"Lecumberri-Sanchez","given":"Pilar","email":"","affiliations":[],"preferred":false,"id":496921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, M. Claiborne III","contributorId":60970,"corporation":false,"usgs":true,"family":"Newton","given":"M.","suffix":"III","email":"","middleInitial":"Claiborne","affiliations":[],"preferred":false,"id":496923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westman, Erik C.","contributorId":34838,"corporation":false,"usgs":true,"family":"Westman","given":"Erik","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":496922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kamilli, Robert J. bkamilli@usgs.gov","contributorId":5795,"corporation":false,"usgs":true,"family":"Kamilli","given":"Robert","email":"bkamilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":496920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Canby, Vertrees M.","contributorId":76665,"corporation":false,"usgs":true,"family":"Canby","given":"Vertrees","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":496925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bodnar, Robert J.","contributorId":61540,"corporation":false,"usgs":true,"family":"Bodnar","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":496924,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70058739,"text":"70058739 - 2013 - Limitation and facilitation of one of the world's most invasive fish: an intercontinental comparison","interactions":[],"lastModifiedDate":"2013-12-13T09:13:45","indexId":"70058739","displayToPublicDate":"2013-02-01T09:10:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Limitation and facilitation of one of the world's most invasive fish: an intercontinental comparison","docAbstract":"Purposeful species introductions offer opportunities to inform our understanding of both invasion success and conservation hurdles. We evaluated factors determining the energetic limitations of brown trout (Salmo trutta) in both their native and introduced ranges. Our focus was on brown trout because they are nearly globally distributed, considered one of the world's worst invaders, yet imperiled in much of their native habitat. We synthesized and compared data describing temperature regime, diet, growth, and maximum body size across multiple spatial and temporal scales, from country (both exotic and native habitats) and major geographic area (MGA) to rivers and years within MGA. Using these data as inputs, we next used bioenergetic efficiency (BioEff), a relative scalar representing a realized percentage of maximum possible consumption (0–100%) as our primary response variable and a multi-scale, nested, mixed statistical model (GLIMMIX) to evaluate variation among and within spatial scales and as a function of density and elevation. MGA and year (the residual) explained the greatest proportion of variance in BioEff. Temperature varied widely among MGA and was a strong driver of variation in BioEff. We observed surprisingly little variation in the diet of brown trout, except the overwhelming influence of the switch to piscivory observed only in exotic MGA. We observed only a weak signal of density-dependent effects on BioEff; however, BioEff remained <50% at densities >2.5 fish/m2. The trajectory of BioEff across the life span of the fish elucidated the substantial variation in performance among MGAs; the maximum body size attained by brown trout was consistently below 400 mm in native habitat but reached 600 mm outside their native range, where brown trout grew rapidly, feeding in part on naive prey fishes. The integrative, physiological approach, in combination with the intercontinental and comparative nature of our study, allowed us to overcome challenges associated with context-dependent variation in determining invasion success. Overall our results indicate “growth plasticity across the life span” was important for facilitating invasion, and should be added to lists of factors characterizing successful invaders.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-0628.1","usgsCitation":"Budy, P.E., Thiede, G.P., Lobon-Cervia, J., Fernandez, G.G., McHugh, P., McIntosh, A., Vollestad, L.A., Becares, E., and Jellyman, P., 2013, Limitation and facilitation of one of the world's most invasive fish: an intercontinental comparison: Ecology, v. 94, no. 2, p. 356-367, https://doi.org/10.1890/12-0628.1.","productDescription":"12 p.","startPage":"356","endPage":"367","numberOfPages":"12","ipdsId":"IP-033914","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488200,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10261/126144","text":"External Repository"},{"id":280287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280286,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0628.1"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd64a0e4b0b290850ff930","contributors":{"authors":[{"text":"Budy, Phaedra E. pbudy@usgs.gov","contributorId":2232,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":322,"text":"Grand Canyon Monitoring and Research Center","active":false,"usgs":true}],"preferred":false,"id":487315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thiede, Gary P.","contributorId":9154,"corporation":false,"usgs":true,"family":"Thiede","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":487317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lobon-Cervia, Javier","contributorId":69052,"corporation":false,"usgs":true,"family":"Lobon-Cervia","given":"Javier","email":"","affiliations":[],"preferred":false,"id":487322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fernandez, Gustavo Gonzolez","contributorId":7173,"corporation":false,"usgs":true,"family":"Fernandez","given":"Gustavo","email":"","middleInitial":"Gonzolez","affiliations":[],"preferred":false,"id":487316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McHugh, Peter","contributorId":12313,"corporation":false,"usgs":true,"family":"McHugh","given":"Peter","affiliations":[],"preferred":false,"id":487319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McIntosh, Angus","contributorId":47630,"corporation":false,"usgs":true,"family":"McIntosh","given":"Angus","email":"","affiliations":[],"preferred":false,"id":487321,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vollestad, Lief Asbjorn","contributorId":97417,"corporation":false,"usgs":true,"family":"Vollestad","given":"Lief","email":"","middleInitial":"Asbjorn","affiliations":[],"preferred":false,"id":487323,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Becares, Eloy","contributorId":10712,"corporation":false,"usgs":true,"family":"Becares","given":"Eloy","email":"","affiliations":[],"preferred":false,"id":487318,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jellyman, Phillip","contributorId":19465,"corporation":false,"usgs":true,"family":"Jellyman","given":"Phillip","email":"","affiliations":[],"preferred":false,"id":487320,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
]}