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,{"id":70021037,"text":"70021037 - 1999 - Calculation of broadband time histories of ground motion: Comparison of methods and validation using strong-ground motion from the 1994 Northridge earthquake","interactions":[],"lastModifiedDate":"2023-10-18T23:34:07.47916","indexId":"70021037","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Calculation of broadband time histories of ground motion: Comparison of methods and validation using strong-ground motion from the 1994 Northridge earthquake","docAbstract":"<div id=\"135253931\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>This article compares techniques for calculating broadband time histories of ground motion in the near field of a finite fault by comparing synthetics with the strong-motion data set for the 1994 Northridge earthquake. Based on this comparison, a preferred methodology is presented. Ground-motion-simulation techniques are divided into two general methods: kinematic- and composite-fault models. Green's functions of three types are evaluated: stochastic, empirical, and theoretical. A hybrid scheme is found to give the best fit to the Northridge data. Low frequencies (&lt; 1 Hz) are calculated using a kinematic-fault model and a 3D finite-difference code to propagate energy through a realistic 3D velocity structure. High frequencies (&gt; 1 Hz) are calculated using a composite-fault model with a fractal subevent size distribution and stochastic, bandlimited, white-noise Green's functions. At frequencies below 1 Hz, theoretical elastic-wave-propagation synthetics introduce proper seismic-phase arrivals of body waves and surface waves. The 3D velocity structure more accurately reproduces record durations for the deep sedimentary basin structures found in the Los Angeles region. At frequencies above 1 Hz, scattering effects become important and wave propagation is more accurately represented by stochastic Green's functions. A fractal subevent size distribution for the composite fault model ensures an ω<sup>−2</sup><span>&nbsp;</span>spectral shape over the entire frequency band considered (0.1-20 Hz).</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/BSSA0890061484","issn":"00371106","usgsCitation":"Hartzell, S., Harmsen, S., Frankel, A., and Larsen, S., 1999, Calculation of broadband time histories of ground motion: Comparison of methods and validation using strong-ground motion from the 1994 Northridge earthquake: Bulletin of the Seismological Society of America, v. 89, no. 6, p. 1484-1504, https://doi.org/10.1785/BSSA0890061484.","productDescription":"21 p.","startPage":"1484","endPage":"1504","numberOfPages":"21","costCenters":[],"links":[{"id":230209,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.0,\n              34.5\n            ],\n            [\n              -119.0,\n              33.57705855378293\n            ],\n            [\n              -118.0,\n              33.57705855378293\n            ],\n            [\n              -118.0,\n              34.5\n            ],\n            [\n              -119.0,\n              34.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"6","noUsgsAuthors":false,"publicationDate":"1999-12-01","publicationStatus":"PW","scienceBaseUri":"5059f301e4b0c8380cd4b542","contributors":{"authors":[{"text":"Hartzell, S.","contributorId":12603,"corporation":false,"usgs":true,"family":"Hartzell","given":"S.","email":"","affiliations":[],"preferred":false,"id":388374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harmsen, S.","contributorId":79600,"corporation":false,"usgs":true,"family":"Harmsen","given":"S.","affiliations":[],"preferred":false,"id":388377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frankel, A. 0000-0001-9119-6106","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":41593,"corporation":false,"usgs":true,"family":"Frankel","given":"A.","affiliations":[],"preferred":false,"id":388376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, S.","contributorId":37087,"corporation":false,"usgs":true,"family":"Larsen","given":"S.","email":"","affiliations":[],"preferred":false,"id":388375,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70021028,"text":"70021028 - 1999 - Identifying sources of heterogeneity in capture probabilities: An example using the Great Tit Parus major","interactions":[],"lastModifiedDate":"2023-09-20T03:03:10.581759","indexId":"70021028","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1052,"text":"Bird Study","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Identifying sources of heterogeneity in capture probabilities: An example using the Great Tit <i>Parus major</i>","title":"Identifying sources of heterogeneity in capture probabilities: An example using the Great Tit Parus major","docAbstract":"Heterogeneous capture probabilities are a common problem in many capture-recapture studies. Several methods of detecting the presence of such heterogeneity are currently available, and stratification of data has been suggested as the standard method to avoid its effects. However, few studies have tried to identify sources of heterogeneity, or whether there are interactions among sources. The aim of this paper is to suggest an analytical procedure to identify sources of capture heterogeneity. We use data on the sex and age of Great Tits captured in baited funnel traps, at two localities differing in average temperature. We additionally use 'recapture' data obtained by videotaping at feeder (with no associated trap), where the tits ringed with different colours were recorded. This allowed us to test whether individuals in different classes (age, sex and condition) are not trapped because of trap shyness or because o a reduced use of the bait. We used logistic regression analysis of the capture probabilities to test for the effects of age, sex, condition, location and 'recapture method. The results showed a higher recapture probability in the colder locality. Yearling birds (either males or females) had the highest recapture prob abilities, followed by adult males, while adult females had the lowest recapture probabilities. There was no effect of the method of 'recapture' (trap or video tape), which suggests that adult females are less often captured in traps no because of trap-shyness but because of less dependence on supplementary food. The potential use of this methodological approach in other studies is discussed.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00063659909477251","issn":"00063657","usgsCitation":"Senar, J., Conroy, M., Carrascal, L., Domenech, J., Mozetich, I., and Uribe, F., 1999, Identifying sources of heterogeneity in capture probabilities: An example using the Great Tit Parus major: Bird Study, v. 46, no. S, p. S248-S252, https://doi.org/10.1080/00063659909477251.","productDescription":"5 p.","startPage":"S248","endPage":"S252","costCenters":[],"links":[{"id":479518,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00063659909477251","text":"Publisher Index Page"},{"id":230129,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","city":"Barcelona, Madrid","otherGeospatial":"Sarria, Ventorrillo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              1.4937719688026618,\n              41.66745875612631\n            ],\n            [\n              1.4937719688026618,\n              41.2296215042671\n            ],\n            [\n              2.330100520469614,\n              41.2296215042671\n            ],\n            [\n              2.330100520469614,\n              41.66745875612631\n            ],\n            [\n              1.4937719688026618,\n              41.66745875612631\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -4.442344442979589,\n              40.89372514745082\n            ],\n            [\n              -4.442344442979589,\n              39.87249839579053\n            ],\n            [\n              -3.1447418963222162,\n              39.87249839579053\n            ],\n            [\n              -3.1447418963222162,\n              40.89372514745082\n            ],\n            [\n              -4.442344442979589,\n              40.89372514745082\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"46","issue":"S","noUsgsAuthors":false,"publicationDate":"2009-06-25","publicationStatus":"PW","scienceBaseUri":"505a3856e4b0c8380cd61528","contributors":{"authors":[{"text":"Senar, J.C.","contributorId":73317,"corporation":false,"usgs":true,"family":"Senar","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":388350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conroy, M.J.","contributorId":84690,"corporation":false,"usgs":true,"family":"Conroy","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":388351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carrascal, L.M.","contributorId":21718,"corporation":false,"usgs":true,"family":"Carrascal","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":388348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Domenech, J.","contributorId":101364,"corporation":false,"usgs":true,"family":"Domenech","given":"J.","email":"","affiliations":[],"preferred":false,"id":388352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mozetich, I.","contributorId":47113,"corporation":false,"usgs":true,"family":"Mozetich","given":"I.","email":"","affiliations":[],"preferred":false,"id":388349,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Uribe, F.","contributorId":10578,"corporation":false,"usgs":true,"family":"Uribe","given":"F.","email":"","affiliations":[],"preferred":false,"id":388347,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70186539,"text":"70186539 - 1999 - Managing Pacific salmon escapements: The gaps between theory and reality","interactions":[{"subject":{"id":70186539,"text":"70186539 - 1999 - Managing Pacific salmon escapements: The gaps between theory and reality","indexId":"70186539","publicationYear":"1999","noYear":false,"chapter":"17","title":"Managing Pacific salmon escapements: The gaps between theory and reality"},"predicate":"IS_PART_OF","object":{"id":70007007,"text":"70007007 - 1999 - Sustainable fisheries management: Pacific salmon","indexId":"70007007","publicationYear":"1999","noYear":false,"title":"Sustainable fisheries management: Pacific salmon"},"id":1}],"isPartOf":{"id":70007007,"text":"70007007 - 1999 - Sustainable fisheries management: Pacific salmon","indexId":"70007007","publicationYear":"1999","noYear":false,"title":"Sustainable fisheries management: Pacific salmon"},"lastModifiedDate":"2017-04-05T10:40:43","indexId":"70186539","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"17","title":"Managing Pacific salmon escapements: The gaps between theory and reality","docAbstract":"<p>There are myriad challenges to estimating intrinsic production capacity for Pacific salmon populations that are heavily exploited and/or suffering from habitat alteration. Likewise, it is difficult to determine whether perceived decreases in production are due to harvest, habitat, or hatchery influences, natural variation, or some combination of all four. There are dramatic gaps between the true nature of the salmon spawner/recruit relationship and the theoretical basis for describing and understanding the relationship. Importantly, there are also extensive practical difficulties associated with gathering and interpreting accurate escapement and run-size information and applying it to population management. Paradoxically, certain aspects of salmon management may well be contributing to losses in abundance and biodiversity, including harvesting salmon in mixed population fisheries, grouping populations into management units subject to a common harvest rate, and fully exploiting all available hatchery fish at the expense of wild fish escapements. Information on U.S. Pacific salmon escapement goal-setting methods, escapement data collection methods and estimation types, and the degree to which stocks are subjected to mixed stock fisheries was summarized and categorized for 1,025 known management units consisting of 9,430 known populations. Using criteria developed in this study, only 1% of U.S. escapement goals are&nbsp;by methods rated as excellent. Escapement goals for 16% of management units were rated as good. Over 60% of escapement goals have been set by methods rated as either fair or poor and 22% of management units have no escapement goals at all. Of the 9,430 populations for which any information was available, 6,614 (70%) had sufficient information to categorize the method by which escapement data are collected. Of those, data collection methods were rated as excellent for 1%, good for 1%, fair for 2%, and poor for 52%. Escapement estimates are not made for 44% of populations. Escapement estimation type (quality of the data resulting from survey methods) was rated as excellent for &lt;1%, good for 30%, fair for 3%, poor for 22%, and nonexistent for 45%. Numerous recommendations for improvements in escapement mangement are made in this chapter. In general, improvements are needed on theoretical escapement management techniques, escapement goal setting methods, and escapement and run size data quality. There is also a need to change managers' and harvesters' expectations to coincide with the natural variation and uncertainty in the abundance of salmon populations. All the recommendations are aimed at optimizing the number of spawners-healthy escapements ensure salmon sustainability by providing eggs for future production, nutrients to the system, and genetic diversity.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sustainable fisheries management: Pacific salmon","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9781439822678.ch17","isbn":"978-1-4398-2267-8","usgsCitation":"Knudsen, E.E., 1999, Managing Pacific salmon escapements: The gaps between theory and reality, chap. 17 <i>of</i> Sustainable fisheries management: Pacific salmon, p. 237-272, https://doi.org/10.1201/9781439822678.ch17.","productDescription":"36 p.","startPage":"237","endPage":"272","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":339203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2009-12-16","publicationStatus":"PW","scienceBaseUri":"58e60275e4b09da6799ac699","contributors":{"editors":[{"text":"Knudsen, E. Eric","contributorId":104818,"corporation":false,"usgs":true,"family":"Knudsen","given":"E.","email":"","middleInitial":"Eric","affiliations":[],"preferred":false,"id":688661,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Steward, Cleveland R.","contributorId":45226,"corporation":false,"usgs":false,"family":"Steward","given":"Cleveland","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":688662,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"MacDonald, Donald D.","contributorId":176179,"corporation":false,"usgs":false,"family":"MacDonald","given":"Donald","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":688663,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Williams, Jack E.","contributorId":93774,"corporation":false,"usgs":true,"family":"Williams","given":"Jack","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":688664,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Reiser, Dudley W.","contributorId":114160,"corporation":false,"usgs":false,"family":"Reiser","given":"Dudley","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":688665,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Knudsen, E. Eric","contributorId":104818,"corporation":false,"usgs":true,"family":"Knudsen","given":"E.","email":"","middleInitial":"Eric","affiliations":[],"preferred":false,"id":688660,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194271,"text":"70194271 - 1999 - Range-wide impact of brown-headed cowbird parasitism on the southwestern willow flycatcher (Empidonax traillii extimus)","interactions":[],"lastModifiedDate":"2017-11-21T11:46:41","indexId":"70194271","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3489,"text":"Studies in Avian Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Range-wide impact of brown-headed cowbird parasitism on the southwestern willow flycatcher (<i>Empidonax traillii extimus</i>)","title":"Range-wide impact of brown-headed cowbird parasitism on the southwestern willow flycatcher (Empidonax traillii extimus)","docAbstract":"<p>We present datasets from long-term studies of brood parasitism of Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>) populations at the South Fork Kern River (SFKR), California, the Grand Canyon, Arizona, and from other intensive flycatcher studies in Arizona. In the two main study areas, we recorded high parasitism rates for the flycatcher. We found that 75 % of Willow Flycatcher nests failed completely when parasitized and that an extremely low percentage of Willow Flycatcher eggs survived to fledging in parasitized nests (11% vs. 47% in unparasitized nests). Our data show that cowbird parasitism also delayed the fledging of young flycatchers. However, contrary to our expectations, we did not find a significant difference between the return rates of “early” versus “late” fledged birds. To evaluate how important cowbird parasitism is to the population decline of the endangered Southwestern Willow Flycatcher, we reviewed the current level of parasitism on this species throughout its range in six states using a large number of datasets from different sites. We also reviewed the historic pattern of increase in Brown-headed Cowbird (<i>Molothrus ater</i>) populations in the southwest between 1872-1997 using both nest record and egg collections and documentary evidence. Given the level of impacts to flycatcher productivity inflicted by cowbird parasitism that we observed at SFKR and Grand Canyon, it is likely that cowbirds played a role historically in reducing many local Southwestern Willow Flycatcher populations. Also, cowbirds continue to play a role in slowing or preventing the recovery of this subspecies.</p>","language":"English","publisher":"American Ornithological Society","usgsCitation":"Whitfield, M.J., and Sogge, M.K., 1999, Range-wide impact of brown-headed cowbird parasitism on the southwestern willow flycatcher (Empidonax traillii extimus): Studies in Avian Biology, v. 18, p. 182-190.","productDescription":"9 p.","startPage":"182","endPage":"190","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":349189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6124f0e4b06e28e9c25c5a","contributors":{"authors":[{"text":"Whitfield, Mary J.","contributorId":174933,"corporation":false,"usgs":false,"family":"Whitfield","given":"Mary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sogge, Mark K. 0000-0002-8337-5689 mark_sogge@usgs.gov","orcid":"https://orcid.org/0000-0002-8337-5689","contributorId":3710,"corporation":false,"usgs":true,"family":"Sogge","given":"Mark","email":"mark_sogge@usgs.gov","middleInitial":"K.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":723020,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":27801,"text":"wri984244 - 1999 - Relations of surface-water quality to streamflow in the Atlantic Coastal, lower Delaware River, and Delaware Bay basins, New Jersey, water years 1976-93","interactions":[],"lastModifiedDate":"2023-04-03T21:30:45.859601","indexId":"wri984244","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"98-4244","title":"Relations of surface-water quality to streamflow in the Atlantic Coastal, lower Delaware River, and Delaware Bay basins, New Jersey, water years 1976-93","docAbstract":"<p>Relations of water quality to streamflow were determined for 18 water-quality constituents at 28 surface-water-quality stations within the drainage area of the Atlantic Coastal, lower Delaware River, and Delaware Bay Basins for water years 1976-93. Surface-water-quality and streamflow data were evaluated for trends (through time) in constituent concentrations during high and low flows, and relations between constituent concentration and streamflow, and between constituent load and streamflow, were determined. Median concentrations were calculated for the entire period of study (water years 1976-93) and for the last 5 years of the period of study (water years 1989-93) to determine whether any large variation in concentration exists between the two periods. Medians also were used to determine the seasonal Kendall\\'s tau statistic, which was then used to evaluate trends in concentrations during high and low flows. Trends in constituent concentrations during high and low flows were evaluated to determine whether the distribution of the observations changes through time for intermittent (nonpoint storm runoff) and constant (point sources and ground water) sources, respectively. High- and low-flow trends in concentrations were determined for some constituents at 26 of the 28 water-quality stations. Seasonal effects on the relations of concentration to streamflow are evident for 10 constituents at 14 or more stations. Dissolved oxygen shows seasonal dependency at all stations. Negative slopes of relations of concentration to streamflow, which indicate a decrease in concentration at high flows, predominate over positive slopes because of dilution of instream concentrations from storm runoff. The slopes of the regression lines of load to streamflow were determined in order to show the relative contributions to the instream load from constant (point sources and ground water) and intermittent sources (storm runoff). Greater slope values indicate larger contributions from storm runoff to instream load, which most likely indicate an increased relative importance of nonpoint sources. Load-to-streamflow relations along a stream reach that tend to increase in a downstream direction indicate the increased relative importance of contributions from storm runoff. Likewise, load-to-streamflow relations along a stream reach that tend to decrease in a downstream direction indicate the increased relative importance of point sources and ground-water discharge. The magnitudes of the load slopes for five constituents increase in the downstream direction along the Great Egg Harbor River, indicating an increased relative importance of storm runoff for these constituents along the river. The magnitudes of the load slopes for 11 constituents decrease in the downstream direction along the Assunpink Creek and for 5 constituents along the Maurice River, indicating a decreased relative importance of storm runoff for these constituents along the rivers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri984244","usgsCitation":"Hunchak-Kariouk, K., Buxton, D.E., and Hickman, R.E., 1999, Relations of surface-water quality to streamflow in the Atlantic Coastal, lower Delaware River, and Delaware Bay basins, New Jersey, water years 1976-93: U.S. Geological Survey Water-Resources Investigations Report 98-4244, Report: xii, 146 p.; Appendix, https://doi.org/10.3133/wri984244.","productDescription":"Report: xii, 146 p.; Appendix","numberOfPages":"158","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1975-10-01","temporalEnd":"1993-09-30","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":327804,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri98-4244/","linkFileType":{"id":5,"text":"html"}},{"id":120158,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1998/4244/report-thumb.jpg"},{"id":95671,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/wri98-4244/pdf/wri98-4244.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":328180,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/wri/1998/wri984224/appendix/wri98-4244_appendix.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"New Jersey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.583,\n              38.937\n            ],\n            [\n              -75.583,\n              40.402\n            ],\n            [\n              -74,\n              40.402\n            ],\n            [\n              -74,\n              38.937\n            ],\n            [\n              -75.583,\n              38.937\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cfe4b07f02db545bb8","contributors":{"authors":[{"text":"Hunchak-Kariouk, Kathryn","contributorId":41448,"corporation":false,"usgs":true,"family":"Hunchak-Kariouk","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":198707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buxton, Debra E. dbuxton@usgs.gov","contributorId":4777,"corporation":false,"usgs":true,"family":"Buxton","given":"Debra","email":"dbuxton@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":198706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickman, R. Edward 0000-0001-5160-3723 whickman@usgs.gov","orcid":"https://orcid.org/0000-0001-5160-3723","contributorId":3153,"corporation":false,"usgs":true,"family":"Hickman","given":"R.","email":"whickman@usgs.gov","middleInitial":"Edward","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":198705,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":29201,"text":"wri994054 - 1999 - Application of spatially referenced regression modeling for the evaluation of total nitrogen loading in the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2022-07-07T18:59:26.156109","indexId":"wri994054","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"99-4054","title":"Application of spatially referenced regression modeling for the evaluation of total nitrogen loading in the Chesapeake Bay watershed","docAbstract":"The reduction of stream nutrient loads is an important part of current efforts to improve water quality in the Chesapeake Bay. To design programs that will effectively reduce stream nutrient loading, resource managers need spatially detailed information that describes the location of nutrient sources and the watershed factors that affect delivery of nutrients to the Bay. To address this need, the U.S. Geological Survey has developed a set of spatially referenced regression models for the evaluation of nutrient loading in the watershed. The technique applied for this purpose is referred to as ?SPARROW? (SPAtially Referenced Regressions On Watershed attributes), which is a statistical modeling approach that retains spatial referencing for illustrating predictions, and for relating upstream nutrient sources to downstream nutrient loads. SPARROW is based on a digital stream-network data set that is composed of stream segments (reaches) that are attributed with traveltime and connectivity information. Drainage-basin boundaries are defined for each stream reach in the network data set through the use of a digital elevation model. For the Chesapeake Bay watershed, the spatial network was developed using the U.S. Environmental Protection Agency?s River Reach File 1 digital stream network, and is composed of 1,408 stream reaches and watershed segments.    To develop a SPARROW model for total nitrogen in the Chesapeake Bay watershed, data sets for sources and basin characteristics were incorporated into the spatial network and related to stream-loading information by using a nonlinear regression model approach. Total nitrogen source variables that were statistically significant in the model include point sources, urban area, fertilizer application, manure generation and atmospheric deposition. Total nitrogen loss variables that were significant in the model include soil permeability and instream-loss rates for four stream-reach classes. Applications of SPARROW for evaluating total nitrogen loading in the Chesapeake Bay watershed include the illustration of the spatial distributions of total nitrogen yields and of the potential for delivery of those yields to the Bay. This information is being used by the Chesapeake Bay Program to target nutrient-reduction areas (Priority Nutrient Reduction Areas) and to design nutrient-load reduction plans that are specific to each tributary (Tributary Strategies).","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri994054","usgsCitation":"Preston, S.D., and Brakebill, J.W., 1999, Application of spatially referenced regression modeling for the evaluation of total nitrogen loading in the Chesapeake Bay watershed: U.S. Geological Survey Water-Resources Investigations Report 99-4054, 12 p., https://doi.org/10.3133/wri994054.","productDescription":"12 p.","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":400772,"rank":2,"type":{"id":36,"text":"NGMDB Index 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,{"id":70194413,"text":"70194413 - 1999 - Yellowstone and the biology of time: Photographs across a century","interactions":[],"lastModifiedDate":"2017-11-27T17:09:07","indexId":"70194413","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Yellowstone and the biology of time: Photographs across a century","docAbstract":"<p>Established in 1872, Yellowstone National Park is the oldest and one of the largest national parks in the world. In this remarkable book, scientists Mary Meagher and Douglas B. Houston present 100 sets of photographs that compare the Yellowstone of old with the park of today.</p><p>Most of the photo sets include three pictures-not the usual two-with many of the original views dating back to the 1870s and 1880s. From the same photo points used by early photographers, Meagher and Houston rephotographed the scenes in the 1970s, and then, following the great fires of 1988, again in the 1990s. The result is an illuminating record of Yellowstone’s dynamic ecosystem and its changes over time.</p><p>Through close analysis of the photos and reference to the vast amount of available data, Meagher and Houston describe changes in vegetation, growth of wildlife populations, the effect of beaver occupancy on wetland areas, and geothermal and elevational shifts. At the same time they point out the extent to which many sites have not changed-despite important switches in park policy and an increase in human activity.</p><p>Yellowstone National Park has long been the focus of major ecological debates. Should managers allow wildfires to burn? Should the elk and bison populations be controlled? Are too many people visiting the park? Yellowstone And The Biology Of Time offers a wealth of information to help us answer these questions. A visual treasure, this book will be of value to scientists from various disciplines as well as to the many people who care about Yellowstone and other protected wilderness areas around the world.</p>","language":"English","publisher":"University of Oklahoma Press","isbn":"9780806130064","usgsCitation":"Meagher, M., and Houston, D.B., 1999, Yellowstone and the biology of time: Photographs across a century, 304 p.","productDescription":"304 p.","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":349408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349407,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.oupress.com/ECommerce/Book/Detail/1357/yellowstone%20and%20the%20biology%20of%20time"}],"country":"United States","otherGeospatial":"Yellowstone National Park","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6124f0e4b06e28e9c25c58","contributors":{"authors":[{"text":"Meagher, Mary","contributorId":50454,"corporation":false,"usgs":true,"family":"Meagher","given":"Mary","email":"","affiliations":[],"preferred":false,"id":723729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houston, Douglas B.","contributorId":25326,"corporation":false,"usgs":false,"family":"Houston","given":"Douglas","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":723730,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":93871,"text":"93871 - 1999 - Effects of management practices on grassland birds: McCown's Longspur","interactions":[],"lastModifiedDate":"2017-10-05T10:39:57","indexId":"93871","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Effects of management practices on grassland birds: McCown's Longspur","docAbstract":"<p>Information on the habitat requirements and effects of habitat management on grassland birds were summarized from information in more than 5,500 published and unpublished papers. A range map is provided to indicate the relative densities of the species in North America, based on Breeding Bird Survey (BBS) data. Although birds frequently are observed outside the breeding range indicated, the maps are intended to show areas where managers might concentrate their attention. It may be ineffectual to manage habitat at a site for a species that rarely occurs in an area. The species account begins with a brief capsule statement, which provides the fundamental components or keys to management for the species. A section on breeding range outlines the current breeding distribution of the species in North America, including areas that could not be mapped using BBS data. The suitable habitat section describes the breeding habitat and occasionally microhabitat characteristics of the species, especially those habitats that occur in the Great Plains. Details on habitat and microhabitat requirements often provide clues to how a species will respond to a particular management practice. A table near the end of the account complements the section on suitable habitat, and lists the specific habitat characteristics for the species by individual studies. A special section on prey habitat is included for those predatory species that have more specific prey requirements. The area requirements section provides details on territory and home range sizes, minimum area requirements, and the effects of patch size, edges, and other landscape and habitat features on abundance and productivity. It may be futile to manage a small block of suitable habitat for a species that has minimum area requirements that are larger than the area being managed. The Brown-headed Cowbird (<i>Molothrus ater</i>) is an obligate brood parasite of many grassland birds. The section on cowbird brood parasitism summarizes rates of cowbird parasitism, host responses to parasitism, and factors that influence parasitism, such as nest concealment and host density. The impact of management depends, in part, upon a species' nesting phenology and biology. The section on breeding-season phenology and site fidelity includes details on spring arrival and fall departure for migratory populations in the Great Plains, peak breeding periods, the tendency to renest after nest failure or success, and the propensity to return to a previous breeding site. The duration and timing of breeding varies among regions and years. Species' response to management summarizes the current knowledge and major findings in the literature on the effects of different management practices on the species. The section on management recommendations complements the previous section and summarizes specific recommendations for habitat management provided in the literature. If management recommendations differ in different portions of the species' breeding range, recommendations are given separately by region. The literature cited contains references to published and unpublished literature on the management effects and habitat requirements of the species. This section is not meant to be a complete bibliography; for a searchable, annotated bibliography of published and unpublished papers dealing with habitat needs of grassland birds and their responses to habitat management, use the <a href=\"http://www.npwrc.usgs.gov/resource/literatr/grasbird/index.htm#bibsearch\" target=\"_blank\">Grassland and Wetland Birds Bibliography</a> on the home page of this resource.</p>","language":"English","publisher":"U.S. Geological Survey, Northern Prairie Wildlife Research Center","publisherLocation":"Jamestown, ND","doi":"10.3133/93871","usgsCitation":"Dechant, J., Sondreal, M.L., Johnson, D.H., Igl, L.D., Goldade, C., Rabie, P.A., and Euliss, B., 1999, Effects of management practices on grassland birds: McCown's Longspur, 16 p., https://doi.org/10.3133/93871.","productDescription":"16 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":292230,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/93871.PNG"},{"id":312424,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/unnumbered/93871/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611be1","contributors":{"authors":[{"text":"Dechant, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":103984,"corporation":false,"usgs":true,"family":"Dechant","given":"Jill A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":298161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sondreal, Marriah L.","contributorId":73532,"corporation":false,"usgs":true,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":298158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":298155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":298156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":90668,"corporation":false,"usgs":true,"family":"Goldade","given":"Christopher M.","affiliations":[],"preferred":false,"id":298160,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rabie, Paul A. 0000-0003-4364-2268","orcid":"https://orcid.org/0000-0003-4364-2268","contributorId":74328,"corporation":false,"usgs":true,"family":"Rabie","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":true,"id":298159,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euliss, Betty R.","contributorId":58218,"corporation":false,"usgs":true,"family":"Euliss","given":"Betty R.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":298157,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70021950,"text":"70021950 - 1999 - A procedure for classifying textural facies in gravel‐bed rivers","interactions":[],"lastModifiedDate":"2018-03-20T15:33:16","indexId":"70021950","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","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 procedure for classifying textural facies in gravel‐bed rivers","docAbstract":"<p><span>Textural patches (i.e., grain‐size facies) are commonly observed in gravel‐bed channels and are of significance for both physical and biological processes at subreach scales. We present a general framework for classifying textural patches that allows modification for particular study goals, while maintaining a basic degree of standardization. Textures are classified using a two‐tier system of ternary diagrams that identifies the relative abundance of major size classes and subcategories of the dominant size. An iterative procedure of visual identification and quantitative grain‐size measurement is used. A field test of our classification indicates that it affords reasonable statistical discrimination of median grain size and variance of bed‐surface textures. We also explore the compromise between classification simplicity and accuracy. We find that statistically meaningful textural discrimination requires use of both tiers of our classification. Furthermore, we find that simplified variants of the two‐tier scheme are less accurate but may be more practical for field studies which do not require a high level of textural discrimination or detailed description of grain‐size distributions. Facies maps provide a natural template for stratifying other physical and biological measurements and produce a retrievable and versatile database that can be used as a component of channel monitoring efforts.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/1999WR900041","usgsCitation":"Buffington, J.M., and Montgomery, D.R., 1999, A procedure for classifying textural facies in gravel‐bed rivers: Water Resources Research, v. 35, no. 6, p. 1903-1914, https://doi.org/10.1029/1999WR900041.","productDescription":"12 p.","startPage":"1903","endPage":"1914","costCenters":[],"links":[{"id":479634,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/1999wr900041","text":"Publisher Index Page"},{"id":229535,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-07-09","publicationStatus":"PW","scienceBaseUri":"5059e50ae4b0c8380cd46ab5","contributors":{"authors":[{"text":"Buffington, John M.","contributorId":124575,"corporation":false,"usgs":false,"family":"Buffington","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":391822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montgomery, David R.","contributorId":67389,"corporation":false,"usgs":true,"family":"Montgomery","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":391821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":93887,"text":"93887 - 1999 - Effects of management practices on grassland birds: Burrowing Owl","interactions":[],"lastModifiedDate":"2017-10-05T10:30:02","indexId":"93887","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Effects of management practices on grassland birds: Burrowing Owl","docAbstract":"<p>Information on the habitat requirements and effects of habitat management on grassland birds were summarized from information in more than 5,500 published and unpublished papers. A range map is provided to indicate the relative densities of the species in North America, based on Breeding Bird Survey (BBS) data. Although birds frequently are observed outside the breeding range indicated, the maps are intended to show areas where managers might concentrate their attention. It may be ineffectual to manage habitat at a site for a species that rarely occurs in an area. The species account begins with a brief capsule statement, which provides the fundamental components or keys to management for the species. A section on breeding range outlines the current breeding distribution of the species in North America, including areas that could not be mapped using BBS data. The suitable habitat section describes the breeding habitat and occasionally microhabitat characteristics of the species, especially those habitats that occur in the Great Plains. Details on habitat and microhabitat requirements often provide clues to how a species will respond to a particular management practice. A table near the end of the account complements the section on suitable habitat, and lists the specific habitat characteristics for the species by individual studies. A special section on prey habitat is included for those predatory species that have more specific prey requirements. The area requirements section provides details on territory and home range sizes, minimum area requirements, and the effects of patch size, edges, and other landscape and habitat features on abundance and productivity. It may be futile to manage a small block of suitable habitat for a species that has minimum area requirements that are larger than the area being managed. The Brown-headed Cowbird (Molothrus ater) is an obligate brood parasite of many grassland birds. The section on cowbird brood parasitism summarizes rates of cowbird parasitism, host responses to parasitism, and factors that influence parasitism, such as nest concealment and host density. The impact of management depends, in part, upon a species' nesting phenology and biology. The section on breeding-season phenology and site fidelity includes details on spring arrival and fall departure for migratory populations in the Great Plains, peak breeding periods, the tendency to renest after nest failure or success, and the propensity to return to a previous breeding site. The duration and timing of breeding varies among regions and years. Species' response to management summarizes the current knowledge and major findings in the literature on the effects of different management practices on the species. The section on management recommendations complements the previous section and summarizes specific recommendations for habitat management provided in the literature. If management recommendations differ in different portions of the species' breeding range, recommendations are given separately by region. The literature cited contains references to published and unpublished literature on the management effects and habitat requirements of the species. This section is not meant to be a complete bibliography; for a searchable, annotated bibliography of published and unpublished papers dealing with habitat needs of grassland birds and their responses to habitat management, use the <a href=\"http://www.npwrc.usgs.gov/resource/literatr/grasbird/index.htm#bibsearch\" target=\"_blank\">Grassland and Wetland Birds Bibliography</a> on the home page of this resource.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of management practices on grassland birds","largerWorkSubtype":{"id":6,"text":"USGS Unnumbered Series"},"language":"English","publisher":"U.S. Geological Survey, Northern Prairie Wildlife Research Center","publisherLocation":"Jamestown, ND","doi":"10.3133/93887","usgsCitation":"Dechant, J., Sondreal, M.L., Johnson, D.H., Igl, L.D., Goldade, C., Rabie, P.A., and Euliss, B., 1999, Effects of management practices on grassland birds: Burrowing Owl (Revised 2002), 34 p., 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R.","contributorId":58218,"corporation":false,"usgs":true,"family":"Euliss","given":"Betty R.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":298250,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70022008,"text":"70022008 - 1999 - Techniques for accurate estimation of net discharge in a tidal channel","interactions":[],"lastModifiedDate":"2012-03-12T17:19:39","indexId":"70022008","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3157,"text":"Proceedings of the IEEE Working Conference on Current Measurement","active":true,"publicationSubtype":{"id":10}},"title":"Techniques for accurate estimation of net discharge in a tidal channel","docAbstract":"An ultrasonic velocity meter discharge-measurement site in a tidally affected region of the Sacramento-San Joaquin rivers was used to study the accuracy of the index velocity calibration procedure. Calibration data consisting of ultrasonic velocity meter index velocity and concurrent acoustic Doppler discharge measurement data were collected during three time periods. The relative magnitude of equipment errors, acoustic Doppler discharge measurement errors, and calibration errors were evaluated. Calibration error was the most significant source of error in estimating net discharge. Using a comprehensive calibration method, net discharge estimates developed from the three sets of calibration data differed by less than an average of 4 cubic meters per second. Typical maximum flow rates during the data-collection period averaged 750 cubic meters per second.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the IEEE Working Conference on Current Measurement","largerWorkSubtype":{"id":10,"text":"Journal Article"},"conferenceTitle":"Proceedings of the 1999 IEEE 6th Working Conference on Current Measurement","conferenceDate":"11 March 1999 through 13 March 1999","conferenceLocation":"San Diego, CA, USA","language":"English","publisher":"IEEE","publisherLocation":"Piscataway, NJ, United States","usgsCitation":"Simpson, M.R., and Bland, R., 1999, Techniques for accurate estimation of net discharge in a tidal channel: Proceedings of the IEEE Working Conference on Current Measurement, p. 125-130.","startPage":"125","endPage":"130","numberOfPages":"6","costCenters":[],"links":[{"id":229194,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba417e4b08c986b3200d2","contributors":{"authors":[{"text":"Simpson, Michael R.","contributorId":90704,"corporation":false,"usgs":true,"family":"Simpson","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":392024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bland, Roger","contributorId":99721,"corporation":false,"usgs":true,"family":"Bland","given":"Roger","email":"","affiliations":[],"preferred":false,"id":392025,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70021908,"text":"70021908 - 1999 - Reconstructing late Quaternary deep-water masses in the eastern Arctic Ocean using benthonic Ostracoda","interactions":[],"lastModifiedDate":"2012-03-12T17:19:38","indexId":"70021908","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reconstructing late Quaternary deep-water masses in the eastern Arctic Ocean using benthonic Ostracoda","docAbstract":"The distribution of Ostracoda in three long cores from the deep eastern Arctic Ocean was studied to determine the palaeoceanographical history of the Eurasian Basin during the late Quaternary. The samples for this study were obtained from the Lomonosov Ridge, Morris Jesup Rise and Yermak Plateau during the Arctic 91 expedition. Ostracoda previously studied in coretops at the same sites as the present study have shown that individual species have a strong association with different water masses and bathymetry. Throughout the late Quaternary, cores exhibit ostracod-rich layers separated by barren intervals. On the basis of biostratigraphical, isotopic and palaeomagnetic data the fossiliferous levels are interpreted as representing interglacial stages. The twenty most significant species were selected for subsequent quantitative investigation using Cluster and Factor analyses, in order to determine similarity and variance between the assemblages. An additional statistical method employing Modern Analogues and the Squared Chord Distance dissimilarity coefficient was utilized to compare the present late Quaternary fossil samples with a modern Arctic database. The results reveal a major faunal division within the Arctic Ocean Deep Water (AODW). Highly abundant and diverse assemblages within the cores were found to group and have good analogues with the Recent bathyal depth (1000-2500 m) upper AODW assemblages. Conversely, assemblages with low abundance and diversity correlate well with abyssal depth (> 3000 m) lower AODW assemblages. The palaeoceanographical history is complicated by the influence of adjacent water masses such as Canada Basin Deep Water (CBDW), Greenland Sea Deep Water (GSDW) and most importantly, Arctic Intermediate Water (AIW), which all had an influence on the ostracod assemblages during the late Quaternary. An enhanced flow of warm saline AIW into the Eurasian Basin results in species-rich upper AODW assemblages having good analogues down to 2750 m in the water column. In contrast, lower AODW assemblages influenced by cold well-oxygenated GSDW give analogues at depths as shallow as 1000 m. The faunal changes are the consequence of rapid climatic fluctuations in the eastern Arctic Ocean during the late Quaternary that are intrinsically linked to palaeoceanographical alternations in warm and cold current inflow from adjacent basins.","largerWorkTitle":"Marine Micropaleontology","language":"English","doi":"10.1016/S0377-8398(99)00022-5","issn":"03778398","usgsCitation":"Jones, R.L., Whatley, R., Cronin, T.M., and Dowsett, H., 1999, Reconstructing late Quaternary deep-water masses in the eastern Arctic Ocean using benthonic Ostracoda, <i>in</i> Marine Micropaleontology, v. 37, no. 3-4, p. 251-272, https://doi.org/10.1016/S0377-8398(99)00022-5.","startPage":"251","endPage":"272","numberOfPages":"22","costCenters":[],"links":[{"id":206288,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0377-8398(99)00022-5"},{"id":229311,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a250e4b0e8fec6cdb573","contributors":{"authors":[{"text":"Jones, R. Ll","contributorId":50678,"corporation":false,"usgs":true,"family":"Jones","given":"R.","email":"","middleInitial":"Ll","affiliations":[],"preferred":false,"id":391638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whatley, R.C.","contributorId":85211,"corporation":false,"usgs":true,"family":"Whatley","given":"R.C.","affiliations":[],"preferred":false,"id":391639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, T. M. 0000-0002-2643-0979","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":42613,"corporation":false,"usgs":true,"family":"Cronin","given":"T.","email":"","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":false,"id":391637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dowsett, H.J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":87924,"corporation":false,"usgs":true,"family":"Dowsett","given":"H.J.","affiliations":[],"preferred":false,"id":391640,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70021969,"text":"70021969 - 1999 - Application of geologic map information to water quality issues in the southern part of the Chesapeake Bay watershed, Maryland and Virginia, eastern United States","interactions":[],"lastModifiedDate":"2012-03-12T17:19:55","indexId":"70021969","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Application of geologic map information to water quality issues in the southern part of the Chesapeake Bay watershed, Maryland and Virginia, eastern United States","docAbstract":"Geologic map units contain much information about the mineralogy, chemistry, and physical attributes of the rocks mapped. This paper presents information from regional-scale geologic maps in Maryland and Virginia, which are in the southern part of the Chesapeake Bay watershed in the eastern United States. The geologic map information is discussed and analyzed in relation to water chemistry data from shallow wells and stream reaches in the area. Two environmental problems in the Chesapeake Bay watershed are used as test examples. The problems, high acidity and high nitrate concentrations in streams and rivers, tend to be mitigated by some rock and sediment types and not by others. Carbonate rocks (limestone, dolomite, and carbonate-cemented rocks) have the greatest capacity to neutralize acidic ground water and surface water in contact with them. Rocks and sediments having high carbon or sulfur contents (such as peat and black shale) potentially contribute the most toward denitrification of ground water and surface water in contact with them. Rocks and sediments that are composed mostly of quartz, feldspar, and light-colored clay (rocks such as granite and sandstone, sediments such as sand and gravel) tend not to alter the chemistry of waters that are in contact with them. The testing of relationships between regionally mapped geologic units and water chemistry is in a preliminary stage, and initial results are encouraging.Geologic map units contain much information about the mineralogy, chemistry, and physical attributes of the rocks mapped. This paper presents information from regional-scale geologic maps in Maryland and Virginia, which are in the southern part of the Chesapeake Bay watershed in the eastern United States. The geologic map information is discussed and analyzed in relation to water chemistry data from shallow wells and stream reaches in the area. Two environmental problems in the Chesapeake Bay watershed are used as test examples. The problems, high acidity and high nitrate concentrations in streams and rivers, tend to be mitigated by some rock and sediment types and not by others. Carbonate rocks (limestone, dolomite, and carbonate-cemented rocks) have the greatest capacity to neutralize acidic ground water and surface water in contact with them. Rocks and sediments having high carbon or sulfur contents (such as peat and black shale) potentially contribute the most toward denitrification of ground water and surface water in contact with them. Rocks and sediments that are composed mostly of quartz, feldspar, and light-colored clay (rocks such as granite and sandstone, sediments such as sand and gravel) tend not to alter the chemistry of waters that are in contact with them. The testing of relationships between regionally mapped geologic units and water chemistry is in a preliminary stage, and initial results are encouraging.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geochemical Exploration","largerWorkSubtype":{"id":10,"text":"Journal Article"},"conferenceTitle":"Proceedings of the 4th International Symposium on Environmental Geochemistry ISEG. Pt 1 (of 2)","conferenceDate":"5 October 1997 through 10 October 1997","conferenceLocation":"Vail, CO, USA","language":"English","publisher":"Elsevier Sci B.V.","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/S0375-6742(98)00043-0","issn":"03756742","usgsCitation":"McCartan, L., Peper, J., Bachman, L., and Horton, J.W., 1999, Application of geologic map information to water quality issues in the southern part of the Chesapeake Bay watershed, Maryland and Virginia, eastern United States: Journal of Geochemical Exploration, v. 64, no. 1-3 -3 pt 1, p. 355-376, https://doi.org/10.1016/S0375-6742(98)00043-0.","startPage":"355","endPage":"376","numberOfPages":"22","costCenters":[],"links":[{"id":206207,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0375-6742(98)00043-0"},{"id":229122,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"1-3 -3 pt 1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ec9fe4b0c8380cd493b2","contributors":{"authors":[{"text":"McCartan, L.","contributorId":55153,"corporation":false,"usgs":true,"family":"McCartan","given":"L.","affiliations":[],"preferred":false,"id":391897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peper, J. D.","contributorId":29387,"corporation":false,"usgs":true,"family":"Peper","given":"J. D.","affiliations":[],"preferred":false,"id":391895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bachman, L. J.","contributorId":47760,"corporation":false,"usgs":true,"family":"Bachman","given":"L. J.","affiliations":[],"preferred":false,"id":391896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, J. Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":81184,"corporation":false,"usgs":true,"family":"Horton","given":"J.","suffix":"Jr.","email":"whorton@usgs.gov","middleInitial":"Wright","affiliations":[],"preferred":false,"id":391898,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70021768,"text":"70021768 - 1999 - Baseline sediment trace metals investigation: Steinhatchee River estuary, Florida, Northeast Gulf of Mexico","interactions":[],"lastModifiedDate":"2013-02-24T19:11:20","indexId":"70021768","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2669,"text":"Marine Georesources and Geotechnology","active":true,"publicationSubtype":{"id":10}},"title":"Baseline sediment trace metals investigation: Steinhatchee River estuary, Florida, Northeast Gulf of Mexico","docAbstract":"This Florida Geological Survey/U.S. Department of the Interior, Minerals Management Service Cooperative Study provides baseline data for major and trace metal concentrations in the sediments of the Steinhatchee River estuary. These data are intended to provide a benchmark for comparison with future metal concentration data measurements. The Steinhatchee River estuary is a relatively pristine bay located within the Big Bend Wildlife Management Area on the North Central Florida Gulf of Mexico coastline. The river flows 55 km through woodlands and planted pines before emptying into the Gulf at Deadman Harbor. Water quality in the estuary is excellent at present. There is minimal development within the watershed. The estuary is part of an extensive system of marshes that formed along the Florida Gulf coast during the Holocene marine transgression. Sediment accretion rate measurements range from 1.4 to 4.1 mm/yr on the basis of lead-210 measurements. Seventy-nine short cores were collected from 66 sample locations, representing four lithofacies: clay- and organic-rich sands, organic-rich sands, clean quartz sands, and oyster bioherms. Samples were analyzed for texture, total organic matter, total carbon, total nitrogen, clay mineralogy, and major and trace-metal content. Following these analyses, metal concentrations were normalized against geochemical reference elements (aluminum and iron) and against total weight percent organic matter. Metals were also normalized granulometrically against total weight percent fines (<0.062 mm). Concentrations were determined by inductively coupled plasma-atomic emission spectrometry (ICP-AES) for all metals except mercury. Mercury concentrations were determined by cold-flameless atomic absorption spectrometry (AAS). Granulometric measurements were made by sieve and pipette analyses. Organic matter was determined by two methods: weight loss upon ignition and elemental analysis (by Carlo-Erba Furnace) of carbon and nitrogen. X-ray diffraction was used to determine clay mineralogy. Trace-metal concentrations were best correlated when normalized with respect to sediment aluminum concentrations. Normalizations indicate that most major and trace-metal concentrations fall within 95% prediction limits of the expected value. This finding suggests that little significant metal contamination occurred within this system prior to 1994 sediment sampling. Exceptions include lead, mercury, copper, zinc, potassium, and phosphorous. Lead and mercury are elements that generally enter this watershed through atmospheric deposition; thus, anomalous levels of these metals are not necessarily associated with activities within the watershed of the Steinhatchee River estuary. Anomalous concentrations of other metals such as zinc, copper, and phosphorous probably do originate within the Steinhatchee watershed. Copper failed to correlate well with any geochemical or granulometric normalizer, and this condition was not limited to a single facies or area within the estuary. This finding may indicate copper contamination in the system. Increased zinc and copper levels may be attributed to marine paints. Phosphorous levels also appeared to be elevated in a few locations in the two marsh facies sampled. This may be due to nutrient loading from two small communities, Jena and Steinhatchee, or from the application of this element in fertilizer to reduce moisture stress to young planted pines on tree farms within the watershed.The Florida Geological Survey/US Department of the Interior, Minerals Management Service Cooperative Study provides baseline data for major and trace metal concentrations in the sediments of the Steinhatchee River estuary. The data are intended to provide a benchmark for comparison with metal concentration data measurements. Seventy nine short cores were collected from 66 sample locations and analyzed. Metal concentrations were normalized against geochemical reference elements and against total weight percen","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Georesources and Geotechnology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis Ltd","publisherLocation":"London, United Kingdom","doi":"10.1080/106411999273864","issn":"1064119X","usgsCitation":"Trimble, C., Hoenstine, R., Highley, A., Donoghue, J., and Ragland, P., 1999, Baseline sediment trace metals investigation: Steinhatchee River estuary, Florida, Northeast Gulf of Mexico: Marine Georesources and Geotechnology, v. 17, no. 2-3, p. 187-197, https://doi.org/10.1080/106411999273864.","startPage":"187","endPage":"197","numberOfPages":"11","costCenters":[],"links":[{"id":229486,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268183,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/106411999273864"}],"volume":"17","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059efdbe4b0c8380cd4a4b5","contributors":{"authors":[{"text":"Trimble, C.A.","contributorId":83690,"corporation":false,"usgs":true,"family":"Trimble","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":391083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoenstine, R.W.","contributorId":61976,"corporation":false,"usgs":true,"family":"Hoenstine","given":"R.W.","affiliations":[],"preferred":false,"id":391080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Highley, A.B.","contributorId":99724,"corporation":false,"usgs":true,"family":"Highley","given":"A.B.","email":"","affiliations":[],"preferred":false,"id":391084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donoghue, J.F.","contributorId":63533,"corporation":false,"usgs":true,"family":"Donoghue","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":391081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ragland, P.C.","contributorId":73338,"corporation":false,"usgs":true,"family":"Ragland","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":391082,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70171420,"text":"70171420 - 1999 - Preserving ground water samples with hydrochloric acid does not result in the formation of chloroform","interactions":[],"lastModifiedDate":"2016-06-01T09:16:43","indexId":"70171420","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1866,"text":"Groundwater Monitoring & Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Preserving ground water samples with hydrochloric acid does not result in the formation of chloroform","docAbstract":"<p><span>Water samples collected for the determination of volatile organic compounds (VOCs) are often preserved with hydrochloric acid (HCl) to inhibit the biotransformation of the analytes of interest until the chemical analyses can he performed. However, it is theoretically possible that residual free chlorine in the HCl can react with dissolved organic carbon (DOC) to form chloroform via the haloform reaction. Analyses of 1501 ground water samples preserved with HCl from the U.S. Geological Survey's National Water-Quality Assessment Program indicate that chloroform was the most commonly detected VOC among 60 VOCs monitored. The DOC concentrations were not significantly larger in samples with detectable chloroform than in those with no delectable chloroform, nor was there any correlation between the concentrations of chloroform and DOC. Furthermore, chloroform was detected more frequently in shallow ground water in urban areas (28.5% of the wells sampled) than in agricultural areas (1.6% of the wells sampled), which indicates that its detection was more related to urban land-use activities than to sample acidification. These data provide strong evidence that acidification with HCl does not lead to the production of significant amounts of chloroform in ground water samples. To verify these results, an acidification study was designed to measure the concentrations of all trihalomethanes (THMs) that can form as a result of HCl preservation in ground water samples and to determine if ascorbic acid (C</span><sub>6</sub><span>H</span><sub>8</sub><span>O</span><sub>6</sub><span>) could inhibit this reaction if it did occur. This study showed that no THMs were formed as a result of HCl acidification, and that ascorbic acid had no discernible effect on the concentrations of THMs measured.</span></p>","language":"English","publisher":"Ground Water Pub. Co.","doi":"10.1111/j.1745-6592.1999.tb00187.x","usgsCitation":"Squillace, P.J., Pankow, J.F., Barbash, J.E., Price, C.V., and Zogorski, J.S., 1999, Preserving ground water samples with hydrochloric acid does not result in the formation of chloroform: Groundwater Monitoring & Remediation, v. 19, no. 1, p. 67-74, https://doi.org/10.1111/j.1745-6592.1999.tb00187.x.","productDescription":"8 p.","startPage":"67","endPage":"74","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":321908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-02-22","publicationStatus":"PW","scienceBaseUri":"574eb5dbe4b0ee97d51a83f3","contributors":{"authors":[{"text":"Squillace, Paul J.","contributorId":59415,"corporation":false,"usgs":true,"family":"Squillace","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":630941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pankow, James F.","contributorId":72253,"corporation":false,"usgs":true,"family":"Pankow","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":630942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbash, Jack E. 0000-0001-9854-8880 jbarbash@usgs.gov","orcid":"https://orcid.org/0000-0001-9854-8880","contributorId":1003,"corporation":false,"usgs":true,"family":"Barbash","given":"Jack","email":"jbarbash@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":630943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Price, Curtis V. 0000-0002-4315-3539 cprice@usgs.gov","orcid":"https://orcid.org/0000-0002-4315-3539","contributorId":983,"corporation":false,"usgs":true,"family":"Price","given":"Curtis","email":"cprice@usgs.gov","middleInitial":"V.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":630944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zogorski, John S. jszogors@usgs.gov","contributorId":189,"corporation":false,"usgs":true,"family":"Zogorski","given":"John","email":"jszogors@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":630945,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70021764,"text":"70021764 - 1999 - Suite versus composite statistics","interactions":[],"lastModifiedDate":"2012-03-12T17:19:41","indexId":"70021764","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3368,"text":"Sedimentary Geology","active":true,"publicationSubtype":{"id":10}},"title":"Suite versus composite statistics","docAbstract":"Suite and composite methodologies, two statistically valid approaches for producing statistical descriptive measures, are investigated for sample groups representing a probability distribution where, in addition, each sample is probability distribution. Suite and composite means (first moment measures) are always equivalent. Composite standard deviations (second moment measures) are always larger than suite standard deviations. Suite and composite values for higher moment measures have more complex relationships. Very seldom, however, are they equivalent, and they normally yield statistically significant but different results. Multiple samples are preferable to single samples (including composites) because they permit the investigator to examine sample-to-sample variability. These and other relationships for suite and composite probability distribution analyses are investigated and reported using granulometric data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Sedimentary Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S0037-0738(99)00005-6","issn":"00370738","usgsCitation":"Balsillie, J.H., and Tanner, W., 1999, Suite versus composite statistics: Sedimentary Geology, v. 125, no. 3-4, p. 225-234, https://doi.org/10.1016/S0037-0738(99)00005-6.","startPage":"225","endPage":"234","numberOfPages":"10","costCenters":[],"links":[{"id":206332,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0037-0738(99)00005-6"},{"id":229444,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9dbde4b08c986b31da42","contributors":{"authors":[{"text":"Balsillie, J. H.","contributorId":12226,"corporation":false,"usgs":true,"family":"Balsillie","given":"J.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":391061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanner, W.F.","contributorId":50679,"corporation":false,"usgs":true,"family":"Tanner","given":"W.F.","email":"","affiliations":[],"preferred":false,"id":391062,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70021763,"text":"70021763 - 1999 - Modeling the effects of nutria (Myocastor coypus) on wetland loss","interactions":[],"lastModifiedDate":"2019-10-24T10:30:55","indexId":"70021763","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","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}},"displayTitle":"Modeling the effects of nutria (<i>Myocastor coypus</i>) on wetland loss","title":"Modeling the effects of nutria (Myocastor coypus) on wetland loss","docAbstract":"<p>We created a model to study the process in which nutria (<i>Myocastor coypus</i>) feeding activities lead to erosion and loss of marsh area. This model ties together data on nutria population dynamics and feeding behavior from the literature with data from field studies on the phenology of Scirpus americanus and Spartina patens conducted in the Barataria Basin, Louisiana, USA in 1992. The complete model consists of three linked models: a model of nutria population dynamics (nutria model), a model of the annual marsh biomass cycle of Scirpus americanus and Spartina patens (biomass model), and a plant-biomass density-dependent marsh area model (area model). When all three models are linked together, they form the 'nutria-biomass-area model.' Analysis of the models indicated the following. (1) The high population densities and low survivorship rates as reported in the literature are incompatible. (2) the nutria model is sensitive to adult and juvenile survivorship and, to a lesser extent, young born per female. It is not particularly sensitive to gestation periods, impregnation rates, or time to maturity. (3) The marsh area model is not sensitive to the marsh loss equation nor to the density at which loss of marsh area begins but is sensitive to the amount of biomass destroyed per nutria. (4) Nutria numbers do not significantly decrease in the nutria-biomass-area model until the total marsh area approaches zero because marsh loss occurs only during winter when marsh biomass is at its annual low.</p>","language":"English","publisher":"Springer","doi":"10.1007/BF03161750","issn":"02775212","usgsCitation":"Carter, J., Foote, A., and Johnson-Randall, L., 1999, Modeling the effects of nutria (Myocastor coypus) on wetland loss: Wetlands, v. 19, no. 1, p. 209-219, https://doi.org/10.1007/BF03161750.","productDescription":"11 p.","startPage":"209","endPage":"219","numberOfPages":"11","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":229443,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.604248046875,\n              29.084976575985912\n            ],\n            [\n              -89.5330810546875,\n              29.084976575985912\n            ],\n            [\n              -89.5330810546875,\n              29.76914573606667\n            ],\n            [\n              -90.604248046875,\n              29.76914573606667\n            ],\n            [\n              -90.604248046875,\n              29.084976575985912\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c42e4b0c8380cd6fb47","contributors":{"authors":[{"text":"Carter, J. 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":81839,"corporation":false,"usgs":true,"family":"Carter","given":"J.","email":"carterj@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":391060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foote, A.L.","contributorId":66435,"corporation":false,"usgs":true,"family":"Foote","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":391059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson-Randall, L. A. 0000-0003-0100-994X","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":28029,"corporation":false,"usgs":true,"family":"Johnson-Randall","given":"L. A.","affiliations":[],"preferred":false,"id":391058,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70021176,"text":"70021176 - 1999 - Fault-slip distribution of the 1995 Colima-Jalisco, Mexico, earthquake","interactions":[],"lastModifiedDate":"2023-10-18T00:59:33.617181","indexId":"70021176","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Fault-slip distribution of the 1995 Colima-Jalisco, Mexico, earthquake","docAbstract":"<div id=\"130406990\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Broadband teleseismic<span>&nbsp;</span><i>P</i><span>&nbsp;</span>waves have been analyzed to recover the rupture history of the large (<i>M<sub>S</sub></i><span>&nbsp;</span>7.4) Colima-Jalisco, Mexico, shallow interplate thrust earthquake of 9 October 1995. Ground-displacement records in the period range of 1-60 sec are inverted using a linear, finite-fault waveform inversion procedure that allows a variable dislocation duration on a prescribed fault. The method is applied using both a narrow fault that simulates a line source with a dislocation window of 50 sec and a wide fault with a possible rise time of up to 20 sec that additionally allows slip updip and downdip from the hypocenter. The line-source analysis provides a spatio-temporal image of the slip distribution consisting of several large sources located northwest of the hypocenter and spanning a range of rupture velocities. The two-dimensional finite-fault inversion allows slip over this rupture-velocity range and indicates that the greatest coseismic displacement (3-4 m) is located between 70 and 130 km from the hypocenter at depths shallower than about 15 km. Slip in this shallow region consists of two major sources, one of which is delayed by about 10 sec relative to a coherent propagation of rupture along the plate interface. These two slip sources account for about one-third of the total<span>&nbsp;</span><i>P</i>-wave seismic moment of 8.3 × 10<sup>27</sup><span>&nbsp;</span>dyne-cm (<i>M</i><sub>w</sub><span>&nbsp;</span>7.9) and may have been responsible for the local tsunami observed along the coast following the earthquake.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/BSSA0890051338","issn":"00371106","usgsCitation":"Mendoza, C., and Hartzell, S., 1999, Fault-slip distribution of the 1995 Colima-Jalisco, Mexico, earthquake: Bulletin of the Seismological Society of America, v. 89, no. 5, p. 1338-1344, https://doi.org/10.1785/BSSA0890051338.","productDescription":"7 p.","startPage":"1338","endPage":"1344","numberOfPages":"7","costCenters":[],"links":[{"id":229980,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Colima-Jalisco","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.78869116413276,\n              21.582530484506776\n            ],\n            [\n              -106.78869116413276,\n              18.46571607739685\n            ],\n            [\n              -102.24035132038269,\n              18.46571607739685\n            ],\n            [\n              -102.24035132038269,\n              21.582530484506776\n            ],\n            [\n              -106.78869116413276,\n              21.582530484506776\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"5","noUsgsAuthors":false,"publicationDate":"1999-10-01","publicationStatus":"PW","scienceBaseUri":"505a0f21e4b0c8380cd537ac","contributors":{"authors":[{"text":"Mendoza, C.","contributorId":82059,"corporation":false,"usgs":true,"family":"Mendoza","given":"C.","email":"","affiliations":[],"preferred":false,"id":388904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, S.","contributorId":12603,"corporation":false,"usgs":true,"family":"Hartzell","given":"S.","email":"","affiliations":[],"preferred":false,"id":388903,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70021797,"text":"70021797 - 1999 - Comparing global models of terrestrial net primary productivity (NPP): Global pattern and differentiation by major biomes","interactions":[],"lastModifiedDate":"2012-03-12T17:19:41","indexId":"70021797","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Comparing global models of terrestrial net primary productivity (NPP): Global pattern and differentiation by major biomes","docAbstract":"Annual and seasonal net primary productivity estimates (NPP) of 15 global models across latitudinal zones and biomes are compared. The models simulated NPP for contemporary climate using common, spatially explicit data sets for climate, soil texture, and normalized difference vegetation index (NDVI). Differences among NPP estimates varied over space and time. The largest differences occur during the summer months in boreal forests (50??to 60??N) and during the dry seasons of tropical evergreen forests. Differences in NPP estimates are related to model assumptions about vegetation structure, model parameterizations, and input data sets.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1046/j.1365-2486.1999.00003.x","issn":"13541013","usgsCitation":"Kicklighter, D., Bondeau, A., Schloss, A.L., Kaduk, J., and McGuire, A., 1999, Comparing global models of terrestrial net primary productivity (NPP): Global pattern and differentiation by major biomes: Global Change Biology, v. 5, no. SUPPL. 1, p. 16-24, https://doi.org/10.1046/j.1365-2486.1999.00003.x.","startPage":"16","endPage":"24","numberOfPages":"9","costCenters":[],"links":[{"id":206317,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1046/j.1365-2486.1999.00003.x"},{"id":229406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"SUPPL. 1","noUsgsAuthors":false,"publicationDate":"2001-12-24","publicationStatus":"PW","scienceBaseUri":"5059f833e4b0c8380cd4cf36","contributors":{"authors":[{"text":"Kicklighter, D. W.","contributorId":31537,"corporation":false,"usgs":false,"family":"Kicklighter","given":"D. W.","affiliations":[{"id":13627,"text":"Woods Hole Oceanographic Institution, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":391219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bondeau, A.","contributorId":72151,"corporation":false,"usgs":true,"family":"Bondeau","given":"A.","email":"","affiliations":[],"preferred":false,"id":391220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schloss, A. L.","contributorId":15774,"corporation":false,"usgs":false,"family":"Schloss","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":391217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaduk, J.","contributorId":105462,"corporation":false,"usgs":true,"family":"Kaduk","given":"J.","email":"","affiliations":[],"preferred":false,"id":391221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":391218,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":93875,"text":"93875 - 1999 - Effects of management practices on grassland birds: Lark Sparrow","interactions":[],"lastModifiedDate":"2017-10-05T10:28:44","indexId":"93875","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Effects of management practices on grassland birds: Lark Sparrow","docAbstract":"<p>Information on the habitat requirements and effects of habitat management on grassland birds were summarized from information in more than 5,500 published and unpublished papers. A range map is provided to indicate the relative densities of the species in North America, based on Breeding Bird Survey (BBS) data. Although birds frequently are observed outside the breeding range indicated, the maps are intended to show areas where managers might concentrate their attention. It may be ineffectual to manage habitat at a site for a species that rarely occurs in an area. The species account begins with a brief capsule statement, which provides the fundamental components or keys to management for the species. A section on breeding range outlines the current breeding distribution of the species in North America, including areas that could not be mapped using BBS data. The suitable habitat section describes the breeding habitat and occasionally microhabitat characteristics of the species, especially those habitats that occur in the Great Plains. Details on habitat and microhabitat requirements often provide clues to how a species will respond to a particular management practice. A table near the end of the account complements the section on suitable habitat, and lists the specific habitat characteristics for the species by individual studies. A special section on prey habitat is included for those predatory species that have more specific prey requirements. The area requirements section provides details on territory and home range sizes, minimum area requirements, and the effects of patch size, edges, and other landscape and habitat features on abundance and productivity. It may be futile to manage a small block of suitable habitat for a species that has minimum area requirements that are larger than the area being managed. The Brown-headed Cowbird (<i>Molothrus ater</i>) is an obligate brood parasite of many grassland birds. The section on cowbird brood parasitism summarizes rates of cowbird parasitism, host responses to parasitism, and factors that influence parasitism, such as nest concealment and host density. The impact of management depends, in part, upon a species' nesting phenology and biology. The section on breeding-season phenology and site fidelity includes details on spring arrival and fall departure for migratory populations in the Great Plains, peak breeding periods, the tendency to renest after nest failure or success, and the propensity to return to a previous breeding site. The duration and timing of breeding varies among regions and years. Species' response to management summarizes the current knowledge and major findings in the literature on the effects of different management practices on the species. The section on management recommendations complements the previous section and summarizes specific recommendations for habitat management provided in the literature. If management recommendations differ in different portions of the species' breeding range, recommendations are given separately by region. The literature cited contains references to published and unpublished literature on the management effects and habitat requirements of the species. This section is not meant to be a complete bibliography; for a searchable, annotated bibliography of published and unpublished papers dealing with habitat needs of grassland birds and their responses to habitat management, use the <a href=\"http://www.npwrc.usgs.gov/resource/literatr/grasbird/index.htm#bibsearch\" target=\"_blank\">Grassland and Wetland Birds Bibliography</a> on the home page of this resource.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of management practices on grassland birds","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"U.S. Geological Survey, Northern Prairie Wildlife Research Center","publisherLocation":"Jamestown, ND","doi":"10.3133/93875","usgsCitation":"Dechant, J., Sondreal, M.L., Johnson, D.H., Igl, L.D., Goldade, C., Parkin, B., and Euliss, B., 1999, Effects of management practices on grassland birds: Lark Sparrow, 16 p., https://doi.org/10.3133/93875.","productDescription":"16 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":292375,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/93875.PNG"},{"id":312418,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/unnumbered/93875/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611bf4","contributors":{"authors":[{"text":"Dechant, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":103984,"corporation":false,"usgs":true,"family":"Dechant","given":"Jill A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":298190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sondreal, Marriah L.","contributorId":73532,"corporation":false,"usgs":true,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":298187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":298184,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":298185,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":90668,"corporation":false,"usgs":true,"family":"Goldade","given":"Christopher M.","affiliations":[],"preferred":false,"id":298188,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parkin, Barry D.","contributorId":98249,"corporation":false,"usgs":true,"family":"Parkin","given":"Barry D.","affiliations":[],"preferred":false,"id":298189,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euliss, Betty R.","contributorId":58218,"corporation":false,"usgs":true,"family":"Euliss","given":"Betty R.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":298186,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70021809,"text":"70021809 - 1999 - The search for a source rock for the giant Tar Sand triangle accumulation, southeastern Utah","interactions":[],"lastModifiedDate":"2023-01-23T16:49:21.418653","indexId":"70021809","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":701,"text":"American Association of Petroleum Geologists Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The search for a source rock for the giant Tar Sand triangle accumulation, southeastern Utah","docAbstract":"<p>A large proportion (about 36%) of the worlds oil resource is contained in accumulations of heavy oil or tar. In these large deposits of degraded oil, the oil in place represents only a fraction of what was present at the time of accumulation. In many of these deposits, the source of the oil is unknown, and the oil is thought to have migrated over long distances to the reservoirs. The Tar Sand triangle in southeastern Utah contains the largest tar sand accumulation in the United States, with 6.3 billion bbl of heavy oil estimated to be in place. The deposit is thought to have originally contained 13-16 billion bbl prior to the biodegradation, water washing, and erosion that have taken place since the middle-late Tertiary. The source of the oil is unknown.</p><p>The tar is primarily contained within the Lower Permian White Rim Sandstone, but extends into permeable parts of overlying and underlying beds. Oil is interpreted to have migrated into the White Rim sometime during the Tertiary when the formation was at a depth of approximately 3500 m. This conclusion is based on integration of fluid inclusion analysis, time-temperature reconstruction, and apatite fission-track modeling for the White Rim Sandstone. Homogenization temperatures cluster around 85-90°C for primary fluid inclusions in authigenic, nonferroan dolomite in the White Rim. The fluid inclusions are associated with fluorescent oil-bearing inclusions, indicating that dolomite precipitation was coeval with oil migration. Burial reconstruction suggests that the White Rim Sand stone reached its maximum burial depth from 60 to 24 Ma, and that maximum burial was followed by unroofing from 24 to 0 Ma. Time-temperature modeling indicates that the formation experienced temperatures of 85-90°C from about 35 to 40 Ma during maximum burial. Maximum formation temperatures of about 105-110°C were reached at about 24 Ma, just prior to unroofing.</p><p>Thermal modeling is used to examine the history of potential source rocks for the White Rim oil. The most attractive potential sources for White Rim oil include beds within one or more of the following formations: the Proterozoic Chuar Group, which is present in the subsurface southwest of the Tar Sand triangle; the Mississippian Delle Phosphatic Member of the Deseret Limestone and equivalent formations, the Permian Kaibab Limestone, the Sinbad Limestone Member of the Triassic Moenkopi Formation, and the Jurassic Arapien Shale, Twin Creek Limestone, and Carmel Formation, which are present west of the Tar Sand triangle; the Pennsylvanian Paradox Formation in the Paradox basin east of the Tar Sand triangle; and the Permian Park City Formation northwest of the Tar Sand triangle. Each formation has a high total organic carbon content and is distributed over a wide enough geographic area to have provided a huge volume of oil. Source beds in all of the formations reached thermal maturity at times prior to or during the time that migration into the White Rim is interpreted to have occurred. Based on all available data, the most likely source for the Tar Sand triangle appears to be the Mississippian Delle Phosphatic Member of the Deseret Limestone. Secondary migration out of the Delle is interpreted to have occurred during the Cretaceous, during Sevier thrusting. Subsequent tertiary migration into the Tar Sand triangle reservoir is interpreted to have occurred later, during middle Tertiary Laramide deformation.&nbsp;</p>","language":"English","publisher":"American Association of Petroleum Geologists","publisherLocation":"Tulsa, OK","doi":"10.1306/00AA9BD8-1730-11D7-8645000102C1865D","usgsCitation":"Huntoon, J.E., Hansley, P., and Naeser, N.D., 1999, The search for a source rock for the giant Tar Sand triangle accumulation, southeastern Utah: American Association of Petroleum Geologists Bulletin, v. 83, no. 3, p. 467-495, https://doi.org/10.1306/00AA9BD8-1730-11D7-8645000102C1865D.","productDescription":"29 p.","startPage":"467","endPage":"495","numberOfPages":"29","costCenters":[],"links":[{"id":229563,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.40307140277676,\n              38.245591077835826\n            ],\n            [\n              -110.40307140277676,\n              37.840235115054426\n            ],\n            [\n              -109.91648969374877,\n              37.840235115054426\n            ],\n            [\n              -109.91648969374877,\n              38.245591077835826\n            ],\n            [\n              -110.40307140277676,\n              38.245591077835826\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"83","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bafbfe4b08c986b324a00","contributors":{"authors":[{"text":"Huntoon, J. E.","contributorId":98060,"corporation":false,"usgs":true,"family":"Huntoon","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":391266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansley, P. L.","contributorId":82299,"corporation":false,"usgs":true,"family":"Hansley","given":"P. L.","affiliations":[],"preferred":false,"id":391265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naeser, N. D.","contributorId":74510,"corporation":false,"usgs":true,"family":"Naeser","given":"N.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":391264,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70021806,"text":"70021806 - 1999 - Mid-Pleistocene cosmogenic minimum-age limits for pre-Wisconsinan glacial surfaces in southwestern Minnesota and southern Baffin Island: A multiple nuclide approach","interactions":[],"lastModifiedDate":"2012-03-12T17:19:37","indexId":"70021806","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Mid-Pleistocene cosmogenic minimum-age limits for pre-Wisconsinan glacial surfaces in southwestern Minnesota and southern Baffin Island: A multiple nuclide approach","docAbstract":"Paired 10Be and 26Al analyses (n = 14) indicate that pre-Wisconsinan, glaciated bedrock surfaces near the northern (Baffin Island) and southern (Minnesota) paleo-margins of the Laurentide Ice Sheet have long and complex histories of cosmic-ray exposure, including significant periods of partial or complete shielding from cosmic rays. Using the ratio, 26Al/10Be, we calculate that striated outcrops of Sioux Quartzite in southwestern Minnesota (southern margin) were last overrun by ice at least 500,000 years ago. Weathered bedrock tors on the once-glaciated uplands of Baffin Island (northern margin) are eroding no faster than 1.1 m Myr-1, the equivalent of at least 450,000 years of surface and near-surface exposure. Our data demonstrate that exposure ages and erosion rates calculated from single nuclides can underestimate surface stability dramatically because any intermittent burial, and the resultant lowering of nuclide production rates and nuclide abundances, will remain undetected.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S0169-555X(98)00088-9","issn":"0169555X","usgsCitation":"Bierman, P., Marsella, K., Patterson, C., Davis, P., and Caffee, M., 1999, Mid-Pleistocene cosmogenic minimum-age limits for pre-Wisconsinan glacial surfaces in southwestern Minnesota and southern Baffin Island: A multiple nuclide approach: Geomorphology, v. 27, no. 1-2, p. 25-39, https://doi.org/10.1016/S0169-555X(98)00088-9.","startPage":"25","endPage":"39","numberOfPages":"15","costCenters":[],"links":[{"id":229525,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":206358,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0169-555X(98)00088-9"}],"volume":"27","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a56bce4b0c8380cd6d7bc","contributors":{"authors":[{"text":"Bierman, P.R.","contributorId":49145,"corporation":false,"usgs":true,"family":"Bierman","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":391253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsella, K.A.","contributorId":66969,"corporation":false,"usgs":true,"family":"Marsella","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":391254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Chris","contributorId":84167,"corporation":false,"usgs":false,"family":"Patterson","given":"Chris","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":391256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, P.T.","contributorId":71695,"corporation":false,"usgs":true,"family":"Davis","given":"P.T.","email":"","affiliations":[],"preferred":false,"id":391255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caffee, M.","contributorId":86518,"corporation":false,"usgs":true,"family":"Caffee","given":"M.","affiliations":[],"preferred":false,"id":391257,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70021817,"text":"70021817 - 1999 - An evaluation of parturition indices in fishers","interactions":[],"lastModifiedDate":"2012-03-12T17:19:54","indexId":"70021817","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of parturition indices in fishers","docAbstract":"Fishers (Martes pennanti) are important forest carnivores and furbearers that are susceptible to overharvest. Traditional indices used to monitor fisher populations typically overestimate litter size and proportion of females that give birth. We evaluated the usefulness of 2 indices of reproduction to determine proportion of female fishers that gave birth in a particular year. We used female fishers of known age and reproductive histories to compare appearance of placental scars with incidence of pregnancy and litter size. Microscopic observation of freshly removed reproductive tracts correctly identified pregnant fishers and correctly estimated litter size in 3 of 4 instances, but gross observation of placental scars failed to correctly identify pregnant fishers and litter size. Microscopic observations of reproductive tracts in carcasses that were not fresh also failed to identify pregnant animals and litter size. We evaluated mean sizes of anterior nipples to see if different reproductive classes could be distinguished. Mean anterior nipple size of captive and wild fishers correctly identified current-year breeders from nonbreeders. Former breeders were misclassified in 4 of 13 instances. Presence of placental scars accurately predicted parturition in a small sample size of fishers, but absence of placental scars did not signify that a female did not give birth. In addition to enabling the estimation of parturition rates in live animals more accurately than traditional indices, mean anterior nipple size also provided an estimate of the percentage of adult females that successfully raised young. Though using mean anterior nipple size to index reproductive success looks promising, additional data are needed to evaluate effects of using dried, stretched pelts on nipple size for management purposes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"00917648","usgsCitation":"Frost, H., York, E., Krohn, W., Elowe, K., Decker, T., Powell, S., and Fuller, T., 1999, An evaluation of parturition indices in fishers: Wildlife Society Bulletin, v. 27, no. 1, p. 221-230.","startPage":"221","endPage":"230","numberOfPages":"10","costCenters":[],"links":[{"id":229153,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ea4de4b0c8380cd48785","contributors":{"authors":[{"text":"Frost, H.C.","contributorId":9416,"corporation":false,"usgs":true,"family":"Frost","given":"H.C.","email":"","affiliations":[],"preferred":false,"id":391288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"York, E.C.","contributorId":36702,"corporation":false,"usgs":true,"family":"York","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":391289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krohn, W.B.","contributorId":64355,"corporation":false,"usgs":true,"family":"Krohn","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":391290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elowe, K.D.","contributorId":83292,"corporation":false,"usgs":true,"family":"Elowe","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":391291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Decker, T.A.","contributorId":100562,"corporation":false,"usgs":true,"family":"Decker","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":391293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Powell, S.M.","contributorId":102654,"corporation":false,"usgs":true,"family":"Powell","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":391294,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fuller, T.K.","contributorId":98252,"corporation":false,"usgs":true,"family":"Fuller","given":"T.K.","email":"","affiliations":[],"preferred":false,"id":391292,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":93872,"text":"93872 - 1999 - Effects of management practices on grassland birds: Long-billed Curlew","interactions":[],"lastModifiedDate":"2017-10-05T10:47:42","indexId":"93872","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Effects of management practices on grassland birds: Long-billed Curlew","docAbstract":"<p>Information on the habitat requirements and effects of habitat management on grassland birds were summarized from information in more than 5,500 published and unpublished papers. A range map is provided to indicate the relative densities of the species in North America, based on Breeding Bird Survey (BBS) data. Although birds frequently are observed outside the breeding range indicated, the maps are intended to show areas where managers might concentrate their attention. It may be ineffectual to manage habitat at a site for a species that rarely occurs in an area. The species account begins with a brief capsule statement, which provides the fundamental components or keys to management for the species. A section on breeding range outlines the current breeding distribution of the species in North America, including areas that could not be mapped using BBS data. The suitable habitat section describes the breeding habitat and occasionally microhabitat characteristics of the species, especially those habitats that occur in the Great Plains. Details on habitat and microhabitat requirements often provide clues to how a species will respond to a particular management practice. A table near the end of the account complements the section on suitable habitat, and lists the specific habitat characteristics for the species by individual studies. A special section on prey habitat is included for those predatory species that have more specific prey requirements. The area requirements section provides details on territory and home range sizes, minimum area requirements, and the effects of patch size, edges, and other landscape and habitat features on abundance and productivity. It may be futile to manage a small block of suitable habitat for a species that has minimum area requirements that are larger than the area being managed. The Brown-headed Cowbird (<i>Molothrus ater</i>) is an obligate brood parasite of many grassland birds. The section on cowbird brood parasitism summarizes rates of cowbird parasitism, host responses to parasitism, and factors that influence parasitism, such as nest concealment and host density. The impact of management depends, in part, upon a species' nesting phenology and biology. The section on breeding-season phenology and site fidelity includes details on spring arrival and fall departure for migratory populations in the Great Plains, peak breeding periods, the tendency to renest after nest failure or success, and the propensity to return to a previous breeding site. The duration and timing of breeding varies among regions and years. Species' response to management summarizes the current knowledge and major findings in the literature on the effects of different management practices on the species. The section on management recommendations complements the previous section and summarizes specific recommendations for habitat management provided in the literature. If management recommendations differ in different portions of the species' breeding range, recommendations are given separately by region. The literature cited contains references to published and unpublished literature on the management effects and habitat requirements of the species. This section is not meant to be a complete bibliography; for a searchable, annotated bibliography of published and unpublished papers dealing with habitat needs of grassland birds and their responses to habitat management, use the <a href=\"http://www.npwrc.usgs.gov/resource/literatr/grasbird/index.htm#bibsearch\" target=\"_blank\">Grassland and Wetland Birds Bibliography</a> on the home page of this resource.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of management practices on grassland birds","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"U.S. Geological Survey, Northern Prairie Wildlife Research Center","publisherLocation":"Jamestown, ND","doi":"10.3133/93872","usgsCitation":"Dechant, J., Sondreal, M.L., Johnson, D.H., Igl, L.D., Goldade, C., Rabie, P.A., and Euliss, B., 1999, Effects of management practices on grassland birds: Long-billed Curlew, 22 p., https://doi.org/10.3133/93872.","productDescription":"22 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":292227,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/93872.PNG"},{"id":312422,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/unnumbered/93872/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611bdb","contributors":{"authors":[{"text":"Dechant, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":103984,"corporation":false,"usgs":true,"family":"Dechant","given":"Jill A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":298168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sondreal, Marriah L.","contributorId":73532,"corporation":false,"usgs":true,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":298165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":298162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":298163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":90668,"corporation":false,"usgs":true,"family":"Goldade","given":"Christopher M.","affiliations":[],"preferred":false,"id":298167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rabie, Paul A. 0000-0003-4364-2268","orcid":"https://orcid.org/0000-0003-4364-2268","contributorId":74328,"corporation":false,"usgs":true,"family":"Rabie","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":true,"id":298166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euliss, Betty R.","contributorId":58218,"corporation":false,"usgs":true,"family":"Euliss","given":"Betty R.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":298164,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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