Data and specimens collected from dugong carcasses and live stranded individuals provide vital information for research and management agencies. The ability to assign a cause of death (natural and/or human induced) to a carcass assists managers to identify major threats to a population in certain areas and to evaluate and adapt management measures. Data collected
from dugong carcasses have contributed to research in areas such as life history, feeding biology, investigating the stock structure/genetics of dugongs, contaminants studies, heavy metal analyses, parasitology, and the effects of habitat change. Adapted from the 'Manual of Procedures for the Salvage and Necropsy of Carcasses of the West Indian Manatee (Trichechus manatus),' this manual provides a detailed guide for dugong (Dugong dugon) carcass handling and necropsy procedures. It is intended to be used as a resource and training guide for anyone involved in dugong incidents who may lack dugong expertise.
The Arizona Department of Environmental Quality (ADEQ) and the U.S. Environmental Protection Agency (USEPA) Ecological Monitoring and Assessment Program (EMAP), use different field methods for collecting macroinvertebrate samples and habitat data for bioassessment purposes. Arizona’s Biocriteria index was developed using a riffle habitat sampling methodology, whereas the EMAP method employs a multi-habitat sampling protocol. There was a need to demonstrate comparability of these different bioassessment methodologies to allow use of the EMAP multi-habitat protocol for both statewide probabilistic assessments for integration of the EMAP data into the national (305b) assessment and for targeted in-state bioassessments for 303d determinations of standards violations and impaired aquatic life conditions. The purpose of this study was to evaluate whether the two methods yield similar bioassessment results, such that the data could be used interchangeably in water quality assessments. In this Regional EMAP grant funded project, a probabilistic survey of 30 sites in the Little Colorado River basin was conducted in the spring of 2007. Macroinvertebrate and habitat data were collected using both ADEQ and EMAP sampling methods, from adjacent reaches within these stream channels.
All analyses indicated that the two macroinvertebrate sampling methods were significantly correlated. ADEQ and EMAP samples were classified into the same scoring categories (meeting, inconclusive, violating the biocriteria standard) 82% of the time. When the ADEQ-IBI was applied to both the ADEQ and EMAP taxa lists, the resulting IBI scores were significantly correlated (r=0.91), even though only 4 of the 7 metrics in the IBI were significantly correlated. The IBI scores from both methods were significantly correlated to the percent of riffle habitat, even though the average percent riffle habitat was only 30% of the stream reach. Multivariate analyses found that the percent riffle was an important attribute for both datasets in classifying IBI scores into assessment categories.
Habitat measurements generated from EMAP and ADEQ methods were also significantly correlated; 13 of 16 habitat measures were significantly correlated (p<0.01). The visual-based percentage estimates of percent riffle and pool habitats, vegetative cover and percent canopy cover, and substrate measurements of percent fine substrate and embeddedness were all remarkably similar, given the different field methods used. A multivariate analysis identified substrate and flow conditions, as well as canopy cover as important combinations of habitat attributes affecting both IBI scores. These results indicate that similar habitat measures can be obtained using two different field sampling protocols. In addition, similar combinations of these habitat parameters were important to macroinvertebrate community condition in multivariate analyses of both ADEQ and EMAP datasets.
These results indicate the two sampling methods for macroinvertebrates and habitat data were very similar in terms of bioassessment results and stressors. While the bioassessment category was not identical for all sites, overall the assessments were significantly correlated, providing similar bioassessment results for the cold water streams used in this study. The findings of this study indicate that ADEQ can utilize either a riffle-based sampling methodology or a multi-habitat sampling approach in cold water streams as both yield similar results relative to the macroinvertebrate assemblage. These results will allow for use of either macroinvertebrate dataset to determine water quality standards compliance with the ADEQ Indexes of Biological Integrity, for which threshold values were just recently placed into the Arizona Surface Water Quality Standards. While this survey did not include warm water desert streams of Arizona, we would predict that EMAP and ADEQ sampling methodologies would provide similar bioassessment results and would not be significantly different, as we have found that the percent riffle habitat in cold and warm water perennial, wadeable streams is not significantly different. However, a comparison study of sampling methodologies in warm water streams should be conducted to confirm the predicted similarity of bioassessment results. ADEQ will continue to implement a monitoring strategy that includes probabilistic monitoring for a statewide ecological assessment of stream conditions. Conclusions from this study will guide decisions regarding the most appropriate sampling methods for future probabilistic monitoring sample plans.
","language":"English","publisher":"Arizona Department of Environmental Quality","usgsCitation":"Spindler, P., and Paretti, N.V., 2007, A comparison of macroinvertebrate and habitat methods of data collection in the Little Colorado River Watershed, Arizona 2007: Open-File Report 10-05, 44 p.","productDescription":"44 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":409294,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://azdeq.gov/surface-water-reports"},{"id":306884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Little Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.05225085860557,\n 33.997147907235785\n ],\n [\n -109.04106100464412,\n 35.15461273818636\n ],\n [\n -112.02896638603738,\n 35.17081103556828\n ],\n [\n -112.02896638603738,\n 35.05951329223615\n ],\n [\n -112.18135500293924,\n 35.01940890226042\n ],\n [\n -112.11604559569567,\n 34.930217592804965\n ],\n [\n -112.18135500293924,\n 34.76942868845617\n ],\n [\n -112.14325784871377,\n 34.675490175745026\n ],\n [\n -111.83303816430666,\n 34.39303515518253\n ],\n [\n -111.75684385585603,\n 34.410997280051035\n ],\n [\n -111.55003073291795,\n 34.42895554846932\n ],\n [\n -111.37587231360197,\n 34.35709933984734\n ],\n [\n -111.29423555454736,\n 34.42446634295791\n ],\n [\n -111.14728938824946,\n 34.384052646872874\n ],\n [\n -110.91870646289696,\n 34.29417457634274\n ],\n [\n -110.74454804358068,\n 34.177189196638395\n ],\n [\n -110.5921594266791,\n 34.16818359070621\n ],\n [\n -110.37990385313734,\n 34.01494136859705\n ],\n [\n -110.3418066989122,\n 33.8885337937307\n ],\n [\n -110.17309073019959,\n 33.90660351226566\n ],\n [\n -109.83565879277435,\n 33.94273145971013\n ],\n [\n -109.69959752768384,\n 33.93821630426183\n ],\n [\n -109.5689787131967,\n 33.96078968665205\n ],\n [\n -109.53632400957491,\n 33.59889828847642\n ],\n [\n -109.3896827960308,\n 33.56287969227705\n ],\n [\n -109.2155243767145,\n 33.71693475565631\n ],\n [\n -109.18286967309271,\n 33.93395436276049\n ],\n [\n -109.05225085860557,\n 33.997147907235785\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe8b41e4b0824b2d14a9d8","contributors":{"authors":[{"text":"Spindler, Patrice","contributorId":146624,"corporation":false,"usgs":false,"family":"Spindler","given":"Patrice","email":"","affiliations":[],"preferred":false,"id":568470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paretti, Nick V.","contributorId":146625,"corporation":false,"usgs":false,"family":"Paretti","given":"Nick","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":568471,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70030928,"text":"70030928 - 2007 - The case for infrasound as the long-range map cue in avian navigation","interactions":[],"lastModifiedDate":"2012-03-12T17:21:16","indexId":"70030928","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The case for infrasound as the long-range map cue in avian navigation","docAbstract":"Of the various 'map' and 'compass' components of Kramer's avian navigational model, the long-range map component is the least well understood. In this paper atmospheric infrasounds are proposed as the elusive longrange cues constituting the avian navigational map. Although infrasounds were considered a viable candidate for the avian map in the 1970s, and pigeons in the laboratory were found to detect sounds at surprisingly low frequencies (0.05 Hz), other tests appeared to support either of the currently favored olfactory or magnetic maps. Neither of these hypotheses, however, is able to explain the full set of observations, and the field has been at an impasse for several decades. To begin, brief descriptions of infrasonic waves and their passage through the atmosphere are given, followed by accounts of previously unexplained release results. These examples include 'release-site biases' which are deviations of departing pigeons from the homeward bearing, an annual variation in homing performance observed only in Europe, difficulties orienting over lakes and above temperature inversions, and the mysterious disruption of several pigeon races. All of these irregularities can be consistently explained by the deflection or masking of infrasonic cues by atmospheric conditions or by other infrasonic sources (microbaroms, sonic booms), respectively. A source of continuous geographic infrasound generated by atmosphere-coupled microseisms is also proposed. In conclusion, several suggestions are made toward resolving some of the conflicting experimental data with the pigeons' possible use of infrasonic cues.","largerWorkTitle":"Proceedings of the Annual Meeting - Institute of Navigation","conferenceTitle":"63rd Annual Meeting of the Institute of Navigation 2007","conferenceDate":"23 April 2007 through 25 April 2007","conferenceLocation":"Cambridge, MA","language":"English","isbn":"1604232862; 9781604232868","usgsCitation":"Hagstrum, J., 2007, The case for infrasound as the long-range map cue in avian navigation, in Proceedings of the Annual Meeting - Institute of Navigation, Cambridge, MA, 23 April 2007 through 25 April 2007, p. 280-293.","startPage":"280","endPage":"293","numberOfPages":"14","costCenters":[],"links":[{"id":238637,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baa07e4b08c986b3226a6","contributors":{"authors":[{"text":"Hagstrum, J.T.","contributorId":75922,"corporation":false,"usgs":true,"family":"Hagstrum","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":429260,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70042859,"text":"cir13066A - 2007 - Impacts of Hurricane Katrina on floodplain forests of the Pearl River","interactions":[],"lastModifiedDate":"2019-06-18T12:06:15","indexId":"cir13066A","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1306","chapter":"6A","title":"Impacts of Hurricane Katrina on floodplain forests of the Pearl River","docAbstract":"Floodplain forests are an important habitat for Neotropical migratory birds. Hurricane Katrina passed through the Pearl River flood plain shortly after making landfall. Field measurements on historical plots and remotely sensed data were used to assess the impact of Hurricane Katrina on the structure of floodplain forests of the Pearl River.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Science and the storms-the USGS response to the hurricanes of 2005 (Circular 1306)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13066A","collaboration":"This report is Chapter 6A in Science and the storms-the USGS response to the hurricanes of 2005. See Circular 1306 for more information and other chapters.","usgsCitation":"Faulkner, S., Barrow, W., Couvillion, B.R., Conner, W., Randall, L., and Baldwin, M., 2007, Impacts of Hurricane Katrina on floodplain forests of the Pearl River: U.S. Geological Survey Circular 1306, 6 p., https://doi.org/10.3133/cir13066A.","productDescription":"6 p.","startPage":"125","endPage":"130","numberOfPages":"6","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":266508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1306_6a.jpg"},{"id":266506,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1306/"},{"id":266507,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1306/pdf/c1306_ch6_a.pdf"}],"country":"United States","state":"Louisiana","otherGeospatial":"Pearl Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.1068,30.1068 ], [ -90.1068,30.4939 ], [ -89.6698,30.4939 ], [ -89.6698,30.1068 ], [ -90.1068,30.1068 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5103b787e4b0ce88de640a15","contributors":{"authors":[{"text":"Faulkner, Stephen 0000-0001-5295-1383","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":65439,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":472419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrow, Wylie 0000-0003-4671-2823","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":90684,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie","affiliations":[],"preferred":false,"id":472421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":472416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conner, William","contributorId":68624,"corporation":false,"usgs":true,"family":"Conner","given":"William","affiliations":[],"preferred":false,"id":472420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Randall, Lori 0000-0003-0100-994X","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":10879,"corporation":false,"usgs":true,"family":"Randall","given":"Lori","affiliations":[],"preferred":false,"id":472417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baldwin, Michael 0000-0003-1939-5439","orcid":"https://orcid.org/0000-0003-1939-5439","contributorId":38443,"corporation":false,"usgs":true,"family":"Baldwin","given":"Michael","affiliations":[],"preferred":false,"id":472418,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70031802,"text":"70031802 - 2007 - High nutrient pulses, tidal mixing and biological response in a small California estuary: Variability in nutrient concentrations from decadal to hourly time scales","interactions":[],"lastModifiedDate":"2012-03-12T17:21:06","indexId":"70031802","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"High nutrient pulses, tidal mixing and biological response in a small California estuary: Variability in nutrient concentrations from decadal to hourly time scales","docAbstract":"Elkhorn Slough is a small estuary in Central California, where nutrient inputs are dominated by runoff from agricultural row crops, a golf course, and residential development. We examined the variability in nutrient concentrations from decadal to hourly time scales in Elkhorn Slough to compare forcing by physical and biological factors. Hourly data were collected using in situ nitrate analyzers and water quality data sondes, and two decades of monthly monitoring data were analyzed. Nutrient concentrations increased from the mid 1970s to 1990s as pastures and woodlands were converted to row crops and population increased in the watershed. Climatic variability was also a significant factor controlling interannual nutrient variability, with higher nutrient concentrations during wet than drought years. Elkhorn Slough has a Mediterranean climate with dry and rainy seasons. Dissolved inorganic nitrogen (DIN) concentrations were relatively low (10-70 ??mol L-1) during the dry season and high (20-160 ??mol L-1) during the rainy season. Dissolved inorganic phosphorus (DIP) concentrations showed the inverse pattern, with higher concentrations during the dry season. Pulsed runoff events were a consistent feature controlling nitrate concentrations during the rainy season. Peak nitrate concentrations lagged runoff events by 1 to 6 days. Tidal exchange with Monterey Bay was also an important process controlling nutrient concentrations, particularly near the mouth of the Slough. Biological processes had the greatest effect on nitrate concentrations during the dry season and were less important during the rainy season. While primary production was enhanced by nutrient pulses, chlorophyll a concentrations were not. We believe that the generally weak biological response compared to the strong physical forcing in Elkhorn Slough occurred because the short residence time and tidal mixing rapidly diluted nutrient pulses. ?? 2006 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuarine, Coastal and Shelf Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecss.2006.08.015","issn":"02727714","usgsCitation":"Caffrey, J., Chapin, T., Jannasch, H., and Haskins, J., 2007, High nutrient pulses, tidal mixing and biological response in a small California estuary: Variability in nutrient concentrations from decadal to hourly time scales: Estuarine, Coastal and Shelf Science, v. 71, no. 3-4, p. 368-380, https://doi.org/10.1016/j.ecss.2006.08.015.","startPage":"368","endPage":"380","numberOfPages":"13","costCenters":[],"links":[{"id":240157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212641,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecss.2006.08.015"}],"volume":"71","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a30c1e4b0c8380cd5d8fb","contributors":{"authors":[{"text":"Caffrey, J.M.","contributorId":98750,"corporation":false,"usgs":true,"family":"Caffrey","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":433194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapin, T.P. 0000-0001-6587-0734","orcid":"https://orcid.org/0000-0001-6587-0734","contributorId":24142,"corporation":false,"usgs":true,"family":"Chapin","given":"T.P.","affiliations":[],"preferred":false,"id":433192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jannasch, H.W.","contributorId":89665,"corporation":false,"usgs":true,"family":"Jannasch","given":"H.W.","email":"","affiliations":[],"preferred":false,"id":433193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haskins, J.C.","contributorId":7473,"corporation":false,"usgs":true,"family":"Haskins","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":433191,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70031804,"text":"70031804 - 2007 - Geologic mapping of the Amirani-Gish Bar region of Io: Implications for the global geologic mapping of Io","interactions":[],"lastModifiedDate":"2018-11-07T11:09:04","indexId":"70031804","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Geologic mapping of the Amirani-Gish Bar region of Io: Implications for the global geologic mapping of Io","docAbstract":"We produced the first geologic map of the Amirani-Gish Bar region of Io, the last of four regional maps generated from Galileo mission data. The Amirani-Gish Bar region has five primary types of geologic materials: plains, mountains, patera floors, flows, and diffuse deposits. The flows and patera floors are thought to be compositionally similar, but are subdivided based on interpretations regarding their emplacement environments and mechanisms. Our mapping shows that volcanic activity in the Amirani-Gish Bar region is dominated by the Amirani Eruptive Center (AEC), now recognized to be part of an extensive, combined Amirani-Maui flow field. A mappable flow connects Amirani and Maui, suggesting that Maui is fed from Amirani, such that the post-Voyager designation \"Maui Eruptive Center\" should be revised. Amirani contains at least four hot spots detected by Galileo, and is the source of widespread bright (sulfur?) flows and active dark (silicate?) flows being emplaced in the Promethean style (slowly emplaced, compound flow fields). The floor of Gish Bar Patera has been partially resurfaced by dark lava flows, although other parts of its floor are bright and appeared unchanged during the Galileo mission. This suggests that the floor did not undergo complete resurfacing as a lava lake as proposed for other ionian paterae. There are several other hot spots in the region that are the sources of both active dark flows (confined within paterae), and SO2- and S2-rich diffuse deposits. Mapped diffuse deposits around fractures on mountains and in the plains appear to serve as the source for gas venting without the release of magma, an association previously unrecognized in this region. The six mountains mapped in this region exhibit various states of degradation. In addition to gaining insight into this region of Io, all four maps are studied to assess the best methodology to use to produce a new global geologic map of Io based on the newly released, combined Galileo-Voyager global mosaics. To convey the complexity of ionian surface geology, we find that a new global geologic map of Io should include a map sheet displaying the global abundances and types of surface features as well as a complementary GIS database as a means to catalog the record of surface changes observed since the Voyager flybys and during the Galileo mission.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2006.08.023","issn":"00191035","usgsCitation":"Williams, D., Keszthelyi, L., Crown, D.A., Jaeger, W.L., and Schenk, P., 2007, Geologic mapping of the Amirani-Gish Bar region of Io: Implications for the global geologic mapping of Io: Icarus, v. 186, no. 1, p. 204-217, https://doi.org/10.1016/j.icarus.2006.08.023.","productDescription":"14 p.","startPage":"204","endPage":"217","numberOfPages":"14","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":239644,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1fc5e4b0c8380cd5696d","contributors":{"authors":[{"text":"Williams, David A.","contributorId":84604,"corporation":false,"usgs":true,"family":"Williams","given":"David A.","affiliations":[],"preferred":false,"id":433202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":433199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crown, David A.","contributorId":196622,"corporation":false,"usgs":false,"family":"Crown","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":24732,"text":"Planetary Science Institute, Tucson","active":true,"usgs":false}],"preferred":false,"id":433203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaeger, Windy L.","contributorId":61679,"corporation":false,"usgs":true,"family":"Jaeger","given":"Windy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":433201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schenk, Paul M.","contributorId":66946,"corporation":false,"usgs":false,"family":"Schenk","given":"Paul M.","affiliations":[{"id":12445,"text":"Lunar and Planetary Institute","active":true,"usgs":false}],"preferred":false,"id":433200,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70031744,"text":"70031744 - 2007 - Ultraviolet radiation and bio-optics in Crater Lake, Oregon","interactions":[],"lastModifiedDate":"2017-11-15T09:57:03","indexId":"70031744","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Ultraviolet radiation and bio-optics in Crater Lake, Oregon","docAbstract":"Crater Lake, Oregon, is a mid-latitude caldera lake famous for its depth (594 m) and blue color. Recent underwater spectral measurements of solar radiation (300-800 nm) support earlier observations of unusual transparency and extend these to UV-B wavelengths. New data suggest that penetration of solar UVR into Crater Lake has a significant ecological impact. Evidence includes a correlation between water column chlorophyll-a and stratospheric ozone since 1984, the scarcity of organisms in the upper water column, and apparent UV screening pigments in phytoplankton that vary with depth. The lowest UV-B diffuse attenuation coefficients (K d,320) were similar to those reported for the clearest natural waters elsewhere, and were lower than estimates for pure water published in 1981. Optical proxies for UVR attenuation were correlated with chlorophyll-a concentration (0-30 m) during typical dry summer months from 1984 to 2002. Using all proxies and measurements of UV transparency, decadal and longer cycles were apparent but no long-term trend since the first optical measurement in 1896. ?? 2007 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-006-0348-0","issn":"00188158","usgsCitation":"Hargreaves, B., Girdner, S., Buktenica, M., Collier, R., Urbach, E., and Larson, G., 2007, Ultraviolet radiation and bio-optics in Crater Lake, Oregon: Hydrobiologia, v. 574, no. 1, p. 107-140, https://doi.org/10.1007/s10750-006-0348-0.","startPage":"107","endPage":"140","numberOfPages":"34","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":239743,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212280,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-006-0348-0"}],"volume":"574","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbc0de4b08c986b3289d4","contributors":{"authors":[{"text":"Hargreaves, B.R.","contributorId":71391,"corporation":false,"usgs":true,"family":"Hargreaves","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":432939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Girdner, S.F.","contributorId":71773,"corporation":false,"usgs":true,"family":"Girdner","given":"S.F.","affiliations":[],"preferred":false,"id":432940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buktenica, M.W.","contributorId":68263,"corporation":false,"usgs":true,"family":"Buktenica","given":"M.W.","affiliations":[],"preferred":false,"id":432938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collier, R.W.","contributorId":98547,"corporation":false,"usgs":true,"family":"Collier","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":432942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Urbach, E.","contributorId":78568,"corporation":false,"usgs":true,"family":"Urbach","given":"E.","email":"","affiliations":[],"preferred":false,"id":432941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larson, G.L.","contributorId":103021,"corporation":false,"usgs":true,"family":"Larson","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":432943,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70031408,"text":"70031408 - 2007 - In situ time-series measurements of subseafloor sediment properties","interactions":[],"lastModifiedDate":"2023-07-21T12:03:17.038477","indexId":"70031408","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1941,"text":"IEEE Journal of Oceanic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"In situ time-series measurements of subseafloor sediment properties","docAbstract":"Recent investigations of the Talkeetna Mountains in south-central Alaska were undertaken to study the region's framework geophysics and to reinterpret structures and crustal composition. Potential field (gravity and magnetic) and magnetotelluric (MT) data were collected along northwest-trending profiles as part of the U.S. Geological Survey's Talkeetna Mountains transect project. The Talkeetna Mountains transect area comprises eight 1:63,360 quadrangles (∼9500 km2) in the Healy and Talkeetna Mountains 1° × 3° sheets that span four major lithostratigraphic terranes (Glen et al., this volume) including the Wrangellia and Peninsular terranes and two Mesozoic overlap assemblages inboard (northwest) of Wrangellia. These data were used here to develop 2½-dimensional models for the three profiles.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/2007.2431(02)","issn":"00721077","usgsCitation":"Glen, J., Schmidt, J., Pellerin, L., McPhee, D., and O’Neill, J., 2007, Crustal structure of Wrangellia and adjacent terranes inferred from geophysical studies along a transect through the northern Talkeetna Mountains: Special Paper of the Geological Society of America, no. 431, p. 21-41, https://doi.org/10.1130/2007.2431(02).","productDescription":"21 p.","startPage":"21","endPage":"41","numberOfPages":"21","costCenters":[],"links":[{"id":244038,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"431","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fceae4b0c8380cd4e4f2","contributors":{"authors":[{"text":"Glen, J.M.G.","contributorId":38330,"corporation":false,"usgs":true,"family":"Glen","given":"J.M.G.","email":"","affiliations":[],"preferred":false,"id":451392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, J.","contributorId":95713,"corporation":false,"usgs":true,"family":"Schmidt","given":"J.","affiliations":[],"preferred":false,"id":451395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pellerin, L.","contributorId":94073,"corporation":false,"usgs":true,"family":"Pellerin","given":"L.","email":"","affiliations":[],"preferred":false,"id":451394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McPhee, D.K.","contributorId":96775,"corporation":false,"usgs":true,"family":"McPhee","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":451396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Neill, J.M.","contributorId":85562,"corporation":false,"usgs":true,"family":"O’Neill","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":451393,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70031028,"text":"70031028 - 2007 - A method to estimate groundwater depletion from confining layers","interactions":[],"lastModifiedDate":"2018-10-17T10:04:38","indexId":"70031028","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A method to estimate groundwater depletion from confining layers","docAbstract":"Although depletion of storage in low‐permeability confining layers is the source of much of the groundwater produced from many confined aquifer systems, it is all too frequently overlooked or ignored. This makes effective management of groundwater resources difficult by masking how much water has been derived from storage and, in some cases, the total amount of water that has been extracted from an aquifer system. Analyzing confining layer storage is viewed as troublesome because of the additional computational burden and because the hydraulic properties of confining layers are poorly known. In this paper we propose a simplified method for computing estimates of confining layer depletion, as well as procedures for approximating confining layer hydraulic conductivity (K) and specific storage (Ss) using geologic information. The latter makes the technique useful in developing countries and other settings where minimal data are available or when scoping calculations are needed. As such, our approach may be helpful for estimating the global transfer of groundwater to surface water. A test of the method on a synthetic system suggests that the computational errors will generally be small. Larger errors will probably result from inaccuracy in confining layer property estimates, but these may be no greater than errors in more sophisticated analyses. The technique is demonstrated by application to two aquifer systems: the Dakota artesian aquifer system in South Dakota and the coastal plain aquifer system in Virginia. In both cases, depletion from confining layers was substantially larger than depletion from the aquifers.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006WR005597","usgsCitation":"Konikow, L.F., and Neuzil, C.E., 2007, A method to estimate groundwater depletion from confining layers: Water Resources Research, v. 43, no. 7, W07417; 15 p., https://doi.org/10.1029/2006WR005597.","productDescription":"W07417; 15 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":477219,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006wr005597","text":"Publisher Index Page"},{"id":238609,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"43","issue":"7","noUsgsAuthors":false,"publicationDate":"2007-07-13","publicationStatus":"PW","scienceBaseUri":"5059e460e4b0c8380cd465ff","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":429688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":429689,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70030763,"text":"70030763 - 2007 - Modeling the movement of a pH perturbation and its impact on adsorbed zinc and phosphate in a wastewater‐contaminated aquifer","interactions":[],"lastModifiedDate":"2023-08-02T11:07:21.55908","indexId":"70030763","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the movement of a pH perturbation and its impact on adsorbed zinc and phosphate in a wastewater‐contaminated aquifer","docAbstract":"[1] Chemical conditions were perturbed in an aquifer with an ambient pH of 5.9 and wastewater-derived adsorbed zinc (Zn) and phosphate (P) contamination by injecting a pulse of amended groundwater. The injected groundwater had low concentrations of dissolved Zn and P, a pH value of 4.5 resulting from equilibration with carbon dioxide gas, and added potassium bromide (KBr). Downgradient of the injection, breakthrough of nonreactive Br and total dissolved carbonate concentrations in excess of ambient values (excess TCO2) were accompanied by a decrease in pH values and over twentyfold increases in dissolved Zn concentrations above preinjection values. Peak concentrations of Br and excess TCO2 were followed by slow increases in pH values accompanied by significant increases in dissolved P above preinjection concentrations. The injected tracers mobilized a significant mass of wastewater-derived Zn. Reactive transport simulations incorporating surface complexation models for adsorption of Zn, P, hydrogen ions, and major cations onto the aquifer sediments, calibrated using laboratory experimental data, captured most of the important trends observed during the experiment. These include increases in Zn concentrations in response to the pH perturbation, perturbations in major cation concentrations, attenuation of the pH perturbation with transport distance, and increases in alkalinity with transport distance. Observed desorption of P in response to chemical perturbations was not predicted, possibly because of a disparity between the range of chemical conditions in the calibration data set and those encountered during the field experiment. Zinc and P desorbed rapidly in response to changing chemical conditions despite decades of contact with the sediments. Surface complexation models with relatively few parameters in the form of logK values and site concentrations show considerable promise for describing the influence of variable chemistry on the transport of adsorbing contaminants.
Mesozoic continental arcs in the North American Cordillera were examined here to establish a baseline model for Phanerozoic continent formation. We combine new trace-element data on lower crustal xenoliths from the Mesozoic Sierra Nevada Batholith with an extensive grid-based geochemical map of the Peninsular Ranges Batholith, the southern equivalent of the Sierras. Collectively, these observations give a three-dimensional view of the crust, which permits the petrogenesis and tectonics of Phanerozoic crust formation to be linked in space and time. Subduction of the Farallon plate beneath North America during the Triassic to early Cretaceous was characterized by trench retreat and slab rollback because old and cold oceanic lithosphere was being subducted. This generated an extensional subduction zone, which created fringing island arcs just off the Paleozoic continental margin. However, as the age of the Farallon plate at the time of subduction decreased, the extensional environment waned, allowing the fringing island arc to accrete onto the continental margin. With continued subduction, a continental arc was born and a progressively more compressional environment developed as the age of subducting slab continued to young. Refinement into a felsic crust occurred after accretion, that is, during the continental arc stage, wherein a thickened crustal and lithospheric column permitted a longer differentiation column. New basaltic arc magmas underplate and intrude the accreted terrane, suture, and former continental margin. Interaction of these basaltic magmas with pre-existing crust and lithospheric mantle created garnet pyroxenitic mafic cumulates by fractional crystallization at depth as well as gabbroic and garnet pyroxenitic restites at shallower levels by melting of pre-existing lower crust. The complementary felsic plutons formed by these deep-seated differentiation processes rose into the upper crust, stitching together the accreted terrane, suture and former continental margin. The mafic cumulates and restites, owing to their high densities, eventually foundered into the mantle, leaving behind a more felsic crust. Our grid-based sampling allows us to estimate an unbiased average upper crustal composition for the Peninsular Ranges Batholith. Major and trace-element compositions are very similar to global continental crust averaged over space and time, but in detail, the Peninsular Ranges are slightly lower in compatible to mildly incompatible elements, MgO, Mg#, V, Sc, Co, and Cr. The compositional similarities suggest a strong arc component in global continental crust, but the slight discrepancies suggest that additional crust formation processes are also important in continent formation as a whole. Finally, the delaminated Sierran garnet pyroxenites have some of the lowest U/Pb ratios ever measured for silicate rocks. Such material, if recycled and stored in the deep mantle, would generate a reservoir with very unradiogenic Pb, providing one solution to the global Pb isotope paradox.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2007.09.025","issn":"0012821X","usgsCitation":"Lee, C., Morton, D.M., Kistler, R.W., and Baird, A.K., 2007, Petrology and tectonics of Phanerozoic continent formation: From island arcs to accretion and continental arc magmatism: Earth and Planetary Science Letters, v. 263, no. 3-4, p. 370-387, https://doi.org/10.1016/j.epsl.2007.09.025.","productDescription":"18 p.","startPage":"370","endPage":"387","numberOfPages":"18","costCenters":[],"links":[{"id":240007,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"263","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a782be4b0c8380cd7865b","contributors":{"authors":[{"text":"Lee, C.-T.A.","contributorId":20549,"corporation":false,"usgs":true,"family":"Lee","given":"C.-T.A.","email":"","affiliations":[],"preferred":false,"id":432729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morton, D. M.","contributorId":54608,"corporation":false,"usgs":true,"family":"Morton","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":432731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kistler, R. W.","contributorId":36112,"corporation":false,"usgs":true,"family":"Kistler","given":"R.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":432730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baird, A. K.","contributorId":65148,"corporation":false,"usgs":true,"family":"Baird","given":"A.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":432732,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030995,"text":"70030995 - 2007 - A critical assessment of the Burning Index in Los Angeles County, California","interactions":[],"lastModifiedDate":"2012-03-12T17:21:17","indexId":"70030995","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"A critical assessment of the Burning Index in Los Angeles County, California","docAbstract":"The Burning Index (BI) is commonly used as a predictor of wildfire activity. An examination of data on the BI and wildfires in Los Angeles County, California, from January 1976 to December 2000 reveals that although the BI is positively associated with wildfire occurrence, its predictive value is quite limited. Wind speed alone has a higher correlation with burn area than BI, for instance, and a simple alternative point process model using wind speed, relative humidity, precipitation and temperature well outperforms the BI in terms of predictive power. The BI is generally far too high in winter and too low in fall, and may exaggerate the impact of individual variables such as wind speed or temperature during times when other variables, such as precipitation or relative humidity, render the environment ill suited for wildfires. ?? IAWF 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Wildland Fire","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1071/WF05089","issn":"10498001","usgsCitation":"Schoenberg, F., Chang, H., Keeley, J., Pompa, J., Woods, J., and Xu, H., 2007, A critical assessment of the Burning Index in Los Angeles County, California: International Journal of Wildland Fire, v. 16, no. 4, p. 473-483, https://doi.org/10.1071/WF05089.","startPage":"473","endPage":"483","numberOfPages":"11","costCenters":[],"links":[{"id":493734,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/2ft54279","text":"External Repository"},{"id":211302,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WF05089"},{"id":238571,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e39fe4b0c8380cd46132","contributors":{"authors":[{"text":"Schoenberg, F.P.","contributorId":56438,"corporation":false,"usgs":true,"family":"Schoenberg","given":"F.P.","email":"","affiliations":[],"preferred":false,"id":429555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chang, H.-C.","contributorId":80463,"corporation":false,"usgs":true,"family":"Chang","given":"H.-C.","email":"","affiliations":[],"preferred":false,"id":429557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeley, Jon E. 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":69082,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon E.","affiliations":[],"preferred":false,"id":429556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pompa, J.","contributorId":39577,"corporation":false,"usgs":true,"family":"Pompa","given":"J.","email":"","affiliations":[],"preferred":false,"id":429553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woods, J.","contributorId":46304,"corporation":false,"usgs":true,"family":"Woods","given":"J.","email":"","affiliations":[],"preferred":false,"id":429554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, H.","contributorId":83331,"corporation":false,"usgs":true,"family":"Xu","given":"H.","email":"","affiliations":[],"preferred":false,"id":429558,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70120422,"text":"70120422 - 2007 - Genetic studies of freshwater turtle and tortoises: a review of the past 70 years","interactions":[],"lastModifiedDate":"2017-06-30T15:38:36","indexId":"70120422","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Genetic studies of freshwater turtle and tortoises: a review of the past 70 years","docAbstract":"Powerful molecular techniques have been developed over many decades for resolving genetic relationships, population genetic structure, patterns of gene flow, mating systems, and the amount of genetic diversity in animals. Genetic studies of turtles were among the earliest and the rapid application of new genetic tools and analytical techniques is still apparent in the literature on turtles. At present, of the 198 freshwater turtles and tortoises that are listed as not extinct by the IUCN Red List, 69 species worldwide are listed as endangered or critically endangered, and an additional 56 species are listed as vulnerable. Of the ca. 300 species of the freshwater turtles and tortoises in the world, ca. 42% are considered to be facing a high risk extinction, and there is a need to focus intense conservation attention on these species. This includes a need to (i) assess our current state of knowledge regarding the application of genetics to studies of freshwater turtles and tortoises and (ii) determine future research directions. Here, we review all available published studies for the past 70 years that were written in English and used genetic markers (e.g. karyotypes, allozymes, DNA loci) to better understand the biology of freshwater turtles and tortoises. We review the types of studies conducted in relation to the species studied and quantify the countries where the studies were performed. We rack the changing use of different genetic markers through time and report on studies focused on aspects of molecular evolution within turtle genomes. We address the usefulness of particular genetic markers to answer phylogenetic questions and present data comparing population genetic structure and mating systems across species. We draw specific attention to whether authors have considered issues to turtle conservation in their research or provided new insights that have been translated into recommendations for conservation management.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Defining turtle diversity: proceedings of a workshop on genetics, ethics, and taxonomy of freshwater turtles and tortoises, Cambridge, Massachusetts, 8-12 August 2005","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"Workshop on genetics, ethics, and taxonomy of freshwater turtles and tortoises","conferenceDate":"August 8-12 2005","conferenceLocation":"Cambridge, MA","language":"English","publisher":"Chelonian Research Foundation","publisherLocation":"Lunenburg, MA","usgsCitation":"FitzSimmons, N.N., and Hart, K.M., 2007, Genetic studies of freshwater turtle and tortoises: a review of the past 70 years, in Defining turtle diversity: proceedings of a workshop on genetics, ethics, and taxonomy of freshwater turtles and tortoises, Cambridge, Massachusetts, 8-12 August 2005, v. 4, Cambridge, MA, August 8-12 2005, p. 15-46.","productDescription":"32 p.","startPage":"15","endPage":"46","numberOfPages":"32","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":292199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292198,"type":{"id":15,"text":"Index Page"},"url":"https://www.chelonian.org/crm/chelonian-research-monographs-no-4/"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53edcd4be4b0f61b386d23f6","contributors":{"authors":[{"text":"FitzSimmons, Nancy N.","contributorId":36864,"corporation":false,"usgs":true,"family":"FitzSimmons","given":"Nancy","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":498184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":498183,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042808,"text":"cir13064B - 2007 - Data access and dissemination for emergency response and long-term recovery efforts related to Hurricanes Katrina and Rita","interactions":[],"lastModifiedDate":"2019-06-18T12:09:32","indexId":"cir13064B","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1306","chapter":"4B","title":"Data access and dissemination for emergency response and long-term recovery efforts related to Hurricanes Katrina and Rita","docAbstract":"The U.S. Geological Survey's (USGS) National Wetlands Research Center (NWRC) responded to Hurricanes Katrina and Rita by providing geospatial support to Federal, State, and local partners. The NWRC used its data and information management systems to deliver aerial photography and maps to emergency responders in a time of critical need.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Science and the storms-the USGS response to the hurricanes of 2005 (Circular 1306)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13064B","collaboration":"This report is Chapter 4B in Science and the storms-the USGS response to the hurricanes of 2005. See Circular 1306 for more information and other chapters.","usgsCitation":"Wilson, S., and Cretini, C., 2007, Data access and dissemination for emergency response and long-term recovery efforts related to Hurricanes Katrina and Rita: U.S. Geological Survey Circular 1306, 4 p., https://doi.org/10.3133/cir13064B.","productDescription":"4 p.","startPage":"71","endPage":"74","numberOfPages":"4","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":266414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1306_4b.jpg"},{"id":266413,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1306/pdf/c1306_ch4_b.pdf"},{"id":266412,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1306/"}],"country":"United States","state":"Louisiana;Mississippi","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.4,28.9 ], [ -91.4,31.4 ], [ -87.6,31.4 ], [ -87.6,28.9 ], [ -91.4,28.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5102660ce4b0d4f5ea817bc1","contributors":{"authors":[{"text":"Wilson, Scott 0000-0001-8055-8618","orcid":"https://orcid.org/0000-0001-8055-8618","contributorId":93103,"corporation":false,"usgs":true,"family":"Wilson","given":"Scott","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":472316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cretini, Chris 0000-0002-0821-7832","orcid":"https://orcid.org/0000-0002-0821-7832","contributorId":71224,"corporation":false,"usgs":true,"family":"Cretini","given":"Chris","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":472315,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70031498,"text":"70031498 - 2007 - Persistent chlordane concentrations in long island sound sediment: Implications from chlordane, 210Pb, and 137Cs profiles","interactions":[],"lastModifiedDate":"2018-05-02T21:28:45","indexId":"70031498","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Persistent chlordane concentrations in long island sound sediment: Implications from chlordane, 210Pb, and 137Cs profiles","docAbstract":"Concentrations of chlordane, a banned termiticide and pesticide, were examined in recently collected surficial sediment (10 sites) and sediment cores (4 sites) in Long Island Sound (LIS).The highest chlordane concentrations were observed in western LIS, near highly urbanized areas. Chlordane concentrations did not decrease significantly in the past decade when compared to the data collected in 1996, consistent with the observation of near-constant chlordane levels in blue mussel tissues collected during the same time period. Chlordane concentrations in many of the sites exceeded levels above which harmful effects on sediment-dwelling organisms are expected to frequently occur. Chlordane concentrations in two of the four sediment cores showed a peak below the sediment surface, suggesting reduced chlordane inputs in recent years. The lack of a chlordane concentration maximum below the sediment surface in the other two cores, coupled with the lack of a well-defined 137Cs peak, indicated significant sediment mixing. Simulations of 137Cs and 210Pb profiles in sediment cores with a simple sediment-mixing model were used to constrain both the deposition rate and the bioturbation rate of the sediment. Simulations of the chlordane profiles indicated continued chlordane input to LIS long after chlordane was phased out in the U.S. Continued chlordane input and significant sediment mixing may have contributed to the persistent chlordane concentrations in surficial sediment, which poses long-term threats to benthic organisms in LIS.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es070749a","issn":"0013936X","usgsCitation":"Yang, L., Li, X., Crusius, J., Jans, U., Melcer, M., and Zhang, P., 2007, Persistent chlordane concentrations in long island sound sediment: Implications from chlordane, 210Pb, and 137Cs profiles: Environmental Science & Technology, v. 41, no. 22, p. 7723-7729, https://doi.org/10.1021/es070749a.","productDescription":"7 p.","startPage":"7723","endPage":"7729","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":240140,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.674072265625,\n 40.22082997283287\n ],\n [\n -71.3177490234375,\n 40.22082997283287\n ],\n [\n -71.3177490234375,\n 41.5579215778042\n ],\n [\n -74.674072265625,\n 41.5579215778042\n ],\n [\n -74.674072265625,\n 40.22082997283287\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"22","noUsgsAuthors":false,"publicationDate":"2007-10-16","publicationStatus":"PW","scienceBaseUri":"505a76f4e4b0c8380cd783b0","contributors":{"authors":[{"text":"Yang, L.","contributorId":6200,"corporation":false,"usgs":true,"family":"Yang","given":"L.","affiliations":[],"preferred":false,"id":431799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, X.","contributorId":67635,"corporation":false,"usgs":true,"family":"Li","given":"X.","email":"","affiliations":[],"preferred":false,"id":431803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":431801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jans, U.","contributorId":35545,"corporation":false,"usgs":true,"family":"Jans","given":"U.","email":"","affiliations":[],"preferred":false,"id":431800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melcer, M.E.","contributorId":57270,"corporation":false,"usgs":true,"family":"Melcer","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":431802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, P.","contributorId":92822,"corporation":false,"usgs":true,"family":"Zhang","given":"P.","email":"","affiliations":[],"preferred":false,"id":431804,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70030785,"text":"70030785 - 2007 - High arsenic concentrations and enriched sulfur and oxygen isotopes in a fractured-bedrock ground-water system","interactions":[],"lastModifiedDate":"2012-03-12T17:21:03","indexId":"70030785","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"High arsenic concentrations and enriched sulfur and oxygen isotopes in a fractured-bedrock ground-water system","docAbstract":"Ground water with high arsenic concentrations (up to 26.6????mol L- 1) has sulfate enriched in 34S and 18O in the fractured-bedrock, ground-water system of the Kelly's Cove watershed, Northport, Maine, USA. The ranges of sulfur and oxygen isotope values in aqueous sulfate, ??34S[SO4] and ??18O[SO4], at the Kelly's Cove watershed are + 3.4 to + 4.9??? and - 2.0 to + 6.7???, respectively. These isotope values are strikingly similar to those of the Goose River, Maine watershed which has ??34S[SO4] and ??18O[SO4] ranges of + 3.7 to + 4.6 ??? and - 2.6 to + 7.5???, respectively. In both systems, high arsenic concentrations occur with high ??34S[SO4] and ??18O[SO4] values, yet redox conditions and underlying rock types are quite different. The isotope values of sulfide minerals, ??34S[min], from four bedrock cores vary over short distances and range from - 5.1 to + 7.5???. The ??34S[SO4] values are controlled by the ??34S[min] values with minor input of atmospheric SO4. The much narrower range in ??34S[SO4] values than ??34S[min] values is probably due to sufficient ground-water mixing at a scale greater than the ??34S[min] variability. The ??34S[SO4] values are about 2??? higher than the average ??34S[min] value and fall within the range of ??34S[min] values, indicating only minor fractionation due to bacterial reduction of SO4. The highest ??18O[SO4] values were measured in the downgradient, confined, arsenic-rich ground water. High ??18O[SO4] values there cannot be due to aeration by atmospheric oxygen, but may arise from reoxidation of reduced SO4 products. The enrichment factors of ??18O in SO4 compared to H2O, + 7.2 to + 15.5???, in the Kelly's Cove ground water and the negligible 34S enrichment is very similar to those derived from experimental data of anaerobic sulfide oxidation in the presence of Mn and Fe oxides. Sea level at the Kelly's Cove watershed was approximately 80??m above present sea level about 13 000??years before present, imposing reducing conditions on that area of the watershed. Sea level dropped approximately 60??m below present sea level about 11 000??years before present, allowing for possible oxidation of sulfide minerals and precipitation of arsenic in ferric oxyhydroxides during aeration of the ground-water system. Under present redox conditions, there is evidence that bacteria reduction of ferric oxyhydroxides releases arsenic. The fractionation of 18O in the SO4 during anaerobic oxidation of sulfide in the presence of Mn and Fe oxides and subsequent release of arsenic during Mn and Fe oxide reduction may explain the relationship between high arsenic concentrations and elevated 18O[SO4] at Kelly's Cove. ?? 2007 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.chemgeo.2007.04.003","issn":"00092541","usgsCitation":"Lipfert, G., Sidle, W., Reeve, A., Ayuso, R., and Boyce, A., 2007, High arsenic concentrations and enriched sulfur and oxygen isotopes in a fractured-bedrock ground-water system: Chemical Geology, v. 242, no. 3-4, p. 385-399, https://doi.org/10.1016/j.chemgeo.2007.04.003.","startPage":"385","endPage":"399","numberOfPages":"15","costCenters":[],"links":[{"id":211686,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2007.04.003"},{"id":239026,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"242","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a30aee4b0c8380cd5d859","contributors":{"authors":[{"text":"Lipfert, G.","contributorId":53135,"corporation":false,"usgs":true,"family":"Lipfert","given":"G.","email":"","affiliations":[],"preferred":false,"id":428663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sidle, W.C.","contributorId":93911,"corporation":false,"usgs":true,"family":"Sidle","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":428665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeve, A.S.","contributorId":64446,"corporation":false,"usgs":true,"family":"Reeve","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":428664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ayuso, R. A. 0000-0002-8496-9534","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":27079,"corporation":false,"usgs":true,"family":"Ayuso","given":"R. A.","affiliations":[],"preferred":false,"id":428662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyce, A.J.","contributorId":26198,"corporation":false,"usgs":true,"family":"Boyce","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":428661,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70031508,"text":"70031508 - 2007 - Analysis of impacts of urban land use and land cover on air quality in the Las Vegas region using remote sensing information and ground observations","interactions":[],"lastModifiedDate":"2017-04-12T15:58:28","indexId":"70031508","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Analysis of impacts of urban land use and land cover on air quality in the Las Vegas region using remote sensing information and ground observations","docAbstract":"Urban development in the Las Vegas Valley of Nevada (USA) has expanded rapidly over the past 50 years. The air quality in the valley has suffered owing to increases from anthropogenic emissions of carbon monoxide, ozone and criteria pollutants of particular matter. Air quality observations show that pollutant concentrations have apparent heterogeneous characteristics in the urban area. Quantified urban land use and land cover information derived from satellite remote sensing data indicate an apparent local influence of urban development density on air pollutant distributions. Multi‐year observational data collected by a network of local air monitoring stations specify that ozone maximums develop in the May and June timeframe, whereas minimum concentrations generally occur from November to February. The fine particulate matter maximum occurs in July. Ozone concentrations are highest on the west and northwest sides of the valley. Night‐time ozone reduction contributes to the heterogeneous features of the spatial distribution for average ozone levels in the Las Vegas metropolitan area. Decreased ozone levels associated with increased urban development density suggest that the highest ozone and lowest nitrogen oxides concentrations are associated with medium to low density urban development in Las Vegas.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160701227653","issn":"01431161","usgsCitation":"Xian, G., 2007, Analysis of impacts of urban land use and land cover on air quality in the Las Vegas region using remote sensing information and ground observations: International Journal of Remote Sensing, v. 28, no. 24, p. 5427-5445, https://doi.org/10.1080/01431160701227653.","productDescription":"19 p.","startPage":"5427","endPage":"5445","numberOfPages":"19","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":239729,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212267,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431160701227653"}],"volume":"28","issue":"24","noUsgsAuthors":false,"publicationDate":"2007-12-21","publicationStatus":"PW","scienceBaseUri":"5059eb1ce4b0c8380cd48c19","contributors":{"authors":[{"text":"Xian, G. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":65656,"corporation":false,"usgs":true,"family":"Xian","given":"G.","affiliations":[],"preferred":false,"id":431854,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70032025,"text":"70032025 - 2007 - Earthquake likelihood model testing","interactions":[],"lastModifiedDate":"2017-08-15T14:09:02","indexId":"70032025","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake likelihood model testing","docAbstract":"The Regional Earthquake Likelihood Models (RELM) project aims to produce and evaluate alternate models of earthquake potential (probability per unit volume, magnitude, and time) for California. Based on differing assumptions, these models are produced to test the validity of their assumptions and to explore which models should be incorporated in seismic hazard and risk evaluation. Tests based on physical and geological criteria are useful but we focus on statistical methods using future earthquake catalog data only. We envision two evaluations: a test of consistency with observed data and a comparison of all pairs of models for relative consistency. Both tests are based on the likelihood method, and both are fully prospective (i.e., the models are not adjusted to fit the test data). To be tested, each model must assign a probability to any possible event within a specified region of space, time, and magnitude. For our tests the models must use a common format: earthquake rates in specified “bins” with location, magnitude, time, and focal mechanism limits.
Seismology cannot yet deterministically predict individual earthquakes; however, it should seek the best possible models for forecasting earthquake occurrence. This paper describes the statistical rules of an experiment to examine and test earthquake forecasts. The primary purposes of the tests described below are to evaluate physical models for earthquakes, assure that source models used in seismic hazard and risk studies are consistent with earthquake data, and provide quantitative measures by which models can be assigned weights in a consensus model or be judged as suitable for particular regions.
In this paper we develop a statistical method for testing earthquake likelihood models. A companion paper (Schorlemmer and Gerstenberger 2007, this issue) discusses the actual implementation of these tests in the framework of the RELM initiative.
Statistical testing of hypotheses is a common task and a wide range of possible testing procedures exist. Jolliffe and Stephenson (2003) present different forecast verifications from atmospheric science, among them likelihood testing of probability forecasts and testing the occurrence of binary events. Testing binary events requires that for each forecasted event, the spatial, temporal and magnitude limits be given. Although major earthquakes can be considered binary events, the models within the RELM project express their forecasts on a spatial grid and in 0.1 magnitude units; thus the results are a distribution of rates over space and magnitude. These forecasts can be tested with likelihood tests.
In general, likelihood tests assume a valid null hypothesis against which a given hypothesis is tested. The outcome is either a rejection of the null hypothesis in favor of the test hypothesis or a nonrejection, meaning the test hypothesis cannot outperform the null hypothesis at a given significance level. Within RELM, there is no accepted null hypothesis and thus the likelihood test needs to be expanded to allow comparable testing of equipollent hypotheses.
To test models against one another, we require that forecasts are expressed in a standard format: the average rate of earthquake occurrence within pre-specified limits of hypocentral latitude, longitude, depth, magnitude, time period, and focal mechanisms. Focal mechanisms should either be described as the inclination of P-axis, declination of P-axis, and inclination of the T-axis, or as strike, dip, and rake angles. Schorlemmer and Gerstenberger (2007, this issue) designed classes of these parameters such that similar models will be tested against each other. These classes make the forecasts comparable between models. Additionally, we are limited to testing only what is precisely defined and consistently reported in earthquake catalogs. Therefore it is currently not possible to test such information as fault rupture length or area, asperity location, etc. Also, to account for data quality issues, we allow for location and magnitude uncertainties as well as the probability that an event is dependent on another event.
As we mentioned above, only models with comparable forecasts can be tested against each other. Our current tests are designed to examine grid-based models. This requires that any fault-based model be adapted to a grid before testing is possible. While this is a limitation of the testing, it is an inherent difficulty in any such comparative testing. Please refer to appendix B for a statistical evaluation of the application of the Poisson hypothesis to fault-based models.
The testing suite we present consists of three different tests: L-Test, N-Test, and R-Test. These tests are defined similarily to Kagan and Jackson (1995). The first two tests examine the consistency of the hypotheses with the observations while the last test compares the spatial performances of the models.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/gssrl.78.1.17","issn":"08950695","usgsCitation":"Schorlemmer, D., Gerstenberger, M., Wiemer, S., Jackson, D., and Rhoades, D., 2007, Earthquake likelihood model testing: Seismological Research Letters, v. 78, no. 1, p. 17-29, https://doi.org/10.1785/gssrl.78.1.17.","productDescription":"13 p.","startPage":"17","endPage":"29","costCenters":[],"links":[{"id":242566,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a04f5e4b0c8380cd50bb8","contributors":{"authors":[{"text":"Schorlemmer, D.","contributorId":30468,"corporation":false,"usgs":true,"family":"Schorlemmer","given":"D.","affiliations":[],"preferred":false,"id":434204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerstenberger, M.C.","contributorId":51977,"corporation":false,"usgs":true,"family":"Gerstenberger","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":434207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiemer, S.","contributorId":22115,"corporation":false,"usgs":true,"family":"Wiemer","given":"S.","affiliations":[],"preferred":false,"id":434203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, D.D.","contributorId":41011,"corporation":false,"usgs":true,"family":"Jackson","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":434205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rhoades, D.A.","contributorId":45121,"corporation":false,"usgs":true,"family":"Rhoades","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":434206,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030618,"text":"70030618 - 2007 - Survival of breeding Pacific common eiders on the Yukon-Kuskokwim Delta, Alaska","interactions":[],"lastModifiedDate":"2018-05-13T12:32:59","indexId":"70030618","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Survival of breeding Pacific common eiders on the Yukon-Kuskokwim Delta, Alaska","docAbstract":"Populations of Pacific common eiders (Somateria mollissima v-nigrum) breeding in Alaska, USA, have declined markedly over the past 40 years. We studied survival of adult female Pacific common eiders using capture—recapture of nesting hens at 3 sites on the Yukon-Kuskokwim Delta (YKD), Alaska from 1994 to 2004. We used data consisting of 268 recapture events from 361 uniquely marked individuals to investigate temporal, geographic, and environmental variation in adult female survival. Our results suggest apparent annual survival of adult eiders from the YKD was high (0.892, SE = 0.022) and spatially and temporally invariant (σ2 = 0.005), a pattern consistent with other long-lived marine birds. Moreover, our results suggest adult survival may be functionally fixed for Pacific common eiders, and at the present, adult survival may be relatively unresponsive to environmental or management perturbations. Our data did not support hypothesized variation in survival relative to mortality factors such as predation on breeding grounds, physiologic costs of reproduction, and wintering conditions. Although changes in adult survival likely have a large potential effect on prospective population growth, our results suggest viable management actions aimed at increasing survival may be extremely limited.
","language":"English","publisher":"Wiley","doi":"10.2193/2005-776","issn":"00225","usgsCitation":"Wilson, H., Flint, P.L., Moran, C.L., and Powell, A., 2007, Survival of breeding Pacific common eiders on the Yukon-Kuskokwim Delta, Alaska: Journal of Wildlife Management, v. 71, no. 2, p. 403-410, https://doi.org/10.2193/2005-776.","productDescription":"8 p.","startPage":"403","endPage":"410","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":239599,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212158,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2005?776"}],"volume":"71","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"505ba2c6e4b08c986b31f956","contributors":{"authors":[{"text":"Wilson, H.M.","contributorId":37306,"corporation":false,"usgs":true,"family":"Wilson","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":427886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":427887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Christine L.","contributorId":6621,"corporation":false,"usgs":false,"family":"Moran","given":"Christine","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":427885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, A.N.","contributorId":66194,"corporation":false,"usgs":true,"family":"Powell","given":"A.N.","email":"","affiliations":[],"preferred":false,"id":427888,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70031403,"text":"70031403 - 2007 - Physically based estimation of soil water retention from textural data: General framework, new models, and streamlined existing models","interactions":[],"lastModifiedDate":"2023-07-18T11:05:02.903393","indexId":"70031403","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Physically based estimation of soil water retention from textural data: General framework, new models, and streamlined existing models","docAbstract":"Numerous models are in widespread use for the estimation of soil water retention from more easily measured textural data. Improved models are needed for better prediction and wider applicability. We developed a basic framework from which new and existing models can be derived to facilitate improvements. Starting from the assumption that every particle has a characteristic dimension R associated uniquely with a matric pressure ψ and that the form of the ψ–R relation is the defining characteristic of each model, this framework leads to particular models by specification of geometric relationships between pores and particles. Typical assumptions are that particles are spheres, pores are cylinders with volume equal to the associated particle volume times the void ratio, and that the capillary inverse proportionality between radius and matric pressure is valid. Examples include fixed-pore-shape and fixed-pore-length models. We also developed alternative versions of the model of Arya and Paris that eliminate its interval-size dependence and other problems. The alternative models are calculable by direct application of algebraic formulas rather than manipulation of data tables and intermediate results, and they easily combine with other models (e.g., incorporating structural effects) that are formulated on a continuous basis. Additionally, we developed a family of models based on the same pore geometry as the widely used unsaturated hydraulic conductivity model of Mualem. Predictions of measurements for different suitable media show that some of the models provide consistently good results and can be chosen based on ease of calculations and other factors.
","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/vzj2007.0019","issn":"15391663","usgsCitation":"Nimmo, J.R., Herkelrath, W.N., and Laguna, L., 2007, Physically based estimation of soil water retention from textural data: General framework, new models, and streamlined existing models: Vadose Zone Journal, v. 6, no. 4, p. 766-773, https://doi.org/10.2136/vzj2007.0019.","productDescription":"8 p.","startPage":"766","endPage":"773","numberOfPages":"8","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":498910,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2007.0019","text":"Publisher Index Page"},{"id":239755,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7af0e4b0c8380cd7918e","contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":431354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herkelrath, William N. 0000-0002-6149-5524 wnherkel@usgs.gov","orcid":"https://orcid.org/0000-0002-6149-5524","contributorId":2612,"corporation":false,"usgs":true,"family":"Herkelrath","given":"William","email":"wnherkel@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":431355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laguna, Luna","contributorId":12694,"corporation":false,"usgs":true,"family":"Laguna","given":"Luna","email":"","affiliations":[],"preferred":false,"id":431353,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70033643,"text":"70033643 - 2007 - Characterization of microtopography and its influence on vegetation patterns in created wetlands","interactions":[],"lastModifiedDate":"2020-09-10T19:16:52.949649","indexId":"70033643","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of microtopography and its influence on vegetation patterns in created wetlands","docAbstract":"Created wetlands are increasingly used to mitigate wetland loss. Thus, identifying wetland creation methods that enhance ecosystem development might increase the likelihood of mitigation success. Noting that the microtopographic variation found in natural wetland settings may not commonly be found in created wetlands, this study explores relationships between induced microtopography, hydrology, and plant species richness/diversity in non-tidal freshwater wetlands, comparing results from two created wetland complexes with those from a mature reference wetland complex in northern Virginia. Elevation, steel rod oxidation depth, and species cover were measured along replicate multiscale (0.5 m-, 1 m-, 2 m-, and 4 m-diameter) tangentially conjoined circular transects in each wetland. Microtopography was surveyed using a total station and results used to derive three roughness indices: tortuosity, limiting slope, and limiting elevation difference. Steel rod oxidation depth was used to estimate water table depth, with data collected four times during the growing season for each study site. Plant species cover was estimated visually in 0.2 m2 plots surveyed at peak growth and used to assess species richness, diversity, and wetland prevalence index. Differences in each attribute were examined among disked and non-disked created wetlands and compared to a natural wetland as a reference. Disked and non-disked created wetlands differed in microtopography, both in terms of limiting elevation difference and tortuosity. However, both were within the range of microtopography encompassed by natural wetlands. Disked wetlands supported higher plant diversity and species richness than either natural or non-disked wetlands, as well as greater within-site species assemblage variability than non-disked wetlands. Irrespective of creation method, plant diversity in created wetlands was correlated with tortuosity and limiting elevation difference, similar to correlations observed for natural wetlands. Vegetation was more hydrophytic at disked sites than at non-disked sites, and of equivalent wetland indicator status to natural sites, even though all sites appeared comparable in terms of hydrology. Results suggest that disking may enhance vegetation community development, thus better supporting the goals of wetland mitigation.
","language":"English","publisher":"Springer","doi":"10.1672/0277-5212(2007)27[1081:COMAII]2.0.CO;2","usgsCitation":"Moser, K., Ahn, C., and Noe, G.E., 2007, Characterization of microtopography and its influence on vegetation patterns in created wetlands: Wetlands, v. 27, no. 4, p. 1081-1097, https://doi.org/10.1672/0277-5212(2007)27[1081:COMAII]2.0.CO;2.","productDescription":"17 p.","startPage":"1081","endPage":"1097","numberOfPages":"17","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":242159,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.62321472167969,\n 38.656560576727024\n ],\n [\n -76.9097900390625,\n 38.656560576727024\n ],\n [\n -76.9097900390625,\n 39.05651736286005\n ],\n [\n -77.62321472167969,\n 39.05651736286005\n ],\n [\n -77.62321472167969,\n 38.656560576727024\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f4d1e4b0c8380cd4bf42","contributors":{"authors":[{"text":"Moser, K.","contributorId":63607,"corporation":false,"usgs":true,"family":"Moser","given":"K.","email":"","affiliations":[],"preferred":false,"id":441811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahn, C.","contributorId":22589,"corporation":false,"usgs":true,"family":"Ahn","given":"C.","email":"","affiliations":[],"preferred":false,"id":441810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":441812,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}