{"pageNumber":"1125","pageRowStart":"28100","pageSize":"25","recordCount":46734,"records":[{"id":70023081,"text":"70023081 - 2001 - Effects of multi-scale environmental characteristics on agricultural stream biota in eastern Wisconsin","interactions":[],"lastModifiedDate":"2022-12-21T15:33:13.720137","indexId":"70023081","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Effects of multi-scale environmental characteristics on agricultural stream biota in eastern Wisconsin","docAbstract":"The U.S. Geological Survey examined 25 agricultural streams in eastern Wisconsin to determine relations between fish, invertebrate, and algal metrics and multiple spatial scales of land cover, geologic setting, hydrologic, aquatic habitat, and water chemistry data. Spearman correlation and redundancy analyses were used to examine relations among biotic metrics and environmental characteristics. Riparian vegetation, geologic, and hydrologic conditions affected the response of biotic metrics to watershed agricultural land cover but the relations were aquatic assemblage dependent. It was difficult to separate the interrelated effects of geologic setting, watershed and buffer land cover, and base flow. Watershed and buffer land cover, geologic setting, reach riparian vegetation width, and stream size affected the fish IBI, invertebrate diversity, diatom IBI, and number of algal taxa; however, the invertebrate FBI, percentage of EPT, and the diatom pollution index were more influenced by nutrient concentrations and flow variability. Fish IBI scores seemed most sensitive to land cover in the entire stream network buffer, more so than watershed-scale land cover and segment or reach riparian vegetation width. All but one stream with more than approximately 10 percent buffer agriculture had fish IBI scores of fair or poor. In general, the invertebrate and algal metrics used in this study were not as sensitive to land cover effects as fish metrics. Some of the reach-scale characteristics, such as width/depth ratios, velocity, and bank stability, could be related to watershed influences of both land cover and geologic setting. The Wisconsin habitat index was related to watershed geologic setting, watershed and buffer land cover, riparian vegetation width, and base flow, and appeared to be a good indicator of stream quality. Results from this study emphasize the value of using more than one or two biotic metrics to assess water quality and the importance of environmental characteristics at multiple scales.","language":"English","publisher":"American Water Resources Association","doi":"10.1111/j.1752-1688.2001.tb03655.x","issn":"1093474X","usgsCitation":"Fitzpatrick, F., Scudder, B.C., Lenz, B.N., and Sullivan, D.J., 2001, Effects of multi-scale environmental characteristics on agricultural stream biota in eastern Wisconsin: Journal of the American Water Resources Association, v. 37, no. 6, p. 1489-1507, https://doi.org/10.1111/j.1752-1688.2001.tb03655.x.","productDescription":"19 p.","startPage":"1489","endPage":"1507","costCenters":[],"links":[{"id":233876,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": 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A. 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":61446,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"F. A.","affiliations":[],"preferred":false,"id":396070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scudder, B. C.","contributorId":71588,"corporation":false,"usgs":true,"family":"Scudder","given":"B.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":396071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lenz, B. N.","contributorId":106164,"corporation":false,"usgs":true,"family":"Lenz","given":"B.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":396073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, D. J.","contributorId":94693,"corporation":false,"usgs":true,"family":"Sullivan","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":396072,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70023244,"text":"70023244 - 2001 - Does fluctuating asymmetry of antlers in white-tailed deer (Odocoileus virginianus) follow patterns predicted for sexually selected traits?","interactions":[],"lastModifiedDate":"2012-03-12T17:19:59","indexId":"70023244","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Does fluctuating asymmetry of antlers in white-tailed deer (Odocoileus virginianus) follow patterns predicted for sexually selected traits?","docAbstract":"Secondary sexual characters have been hypothesized to signal male quality and should demonstrate a negative relationship between the size of the trait and degree of fluctuating asymmetry because they are costly to produce. We collected morphometric and antler data from 439 white-tailed deer (Odocoileus virginianus) in Oklahoma, USA, in order to determine whether measures of antler asymmetry follow the patterns predicted for sexually selected characters. Relative fluctuating asymmetry was negatively related to antler size for all deer and within age groups up to five and a half years of age. We did not detect an association between asymmetry and antler size among deer that were six and a half years or older. When categorizing deer by antler size, we found that deer with small antlers (???33rd percentile) had greater levels of relative asymmetry than deer with large antlers (???67th percentile). The relative asymmetry of antlers was negatively related to age and was greatest in deer that were one and a half years old. Relative asymmetry was also negatively related to carcass mass, inside spread, skull length and body length. These data suggest that asymmetry in the antlers of white-tailed deer may be a reliable signal of quality and, as such, may be important in maintaining honesty in intrasexual advertisements during the breeding season.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the Royal Society B: Biological Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1098/rspb.2001.1588","issn":"09628436","usgsCitation":"Ditchkoff, S., Lochmiller, R., Masters, R., Starry, W., and Leslie, D., 2001, Does fluctuating asymmetry of antlers in white-tailed deer (Odocoileus virginianus) follow patterns predicted for sexually selected traits?: Proceedings of the Royal Society B: Biological Sciences, v. 268, no. 1470, p. 891-898, https://doi.org/10.1098/rspb.2001.1588.","startPage":"891","endPage":"898","numberOfPages":"8","costCenters":[],"links":[{"id":478969,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://dx.doi.org/10.1098/rspb.2001.1588","text":"External Repository"},{"id":207334,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rspb.2001.1588"},{"id":232197,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"268","issue":"1470","noUsgsAuthors":false,"publicationDate":"2001-05-07","publicationStatus":"PW","scienceBaseUri":"505a0390e4b0c8380cd5053a","contributors":{"authors":[{"text":"Ditchkoff, S.S.","contributorId":100580,"corporation":false,"usgs":true,"family":"Ditchkoff","given":"S.S.","affiliations":[],"preferred":false,"id":397002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lochmiller, R.L.","contributorId":68061,"corporation":false,"usgs":true,"family":"Lochmiller","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":397001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masters, R.E.","contributorId":49146,"corporation":false,"usgs":true,"family":"Masters","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":396999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starry, W.R.","contributorId":10581,"corporation":false,"usgs":true,"family":"Starry","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":396998,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leslie, David M. Jr.","contributorId":52514,"corporation":false,"usgs":true,"family":"Leslie","given":"David M.","suffix":"Jr.","affiliations":[],"preferred":false,"id":397000,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70023654,"text":"70023654 - 2001 - Seismic reflection images of shallow faulting, northernmost Mississippi embayment, north of the New Madrid seismic zone","interactions":[],"lastModifiedDate":"2012-03-12T17:20:12","indexId":"70023654","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","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":"Seismic reflection images of shallow faulting, northernmost Mississippi embayment, north of the New Madrid seismic zone","docAbstract":"High-resolution seismic reflection surveys document tectonic faults that displace Pleistocene and older strata just beyond the northeast termination of the New Madrid seismic zone, at the northernmost extent of the Mississippi embayment. These faults, which are part of the Fluorspar Area fault complex in southeastern Illinois, are directly in line with the northeast-trending seismic zone. The reflection data were acquired using an elastic weight-drop source recorded to 500 msec by a 48-geophone array (24-fold) with a 10-ft (??3.0m) station interval. Recognizable reflections were recorded to about 200 msec (100-150 m). The effects of multiple reflections, numerous diffractions, low apparent velocity (i.e., steeply dipping) noise, and the relatively low-frequency content of the recorded signal provided challenges for data processing and interpreting subtle fault offsets. Data processing steps that were critical to the detection of faults included residual statics, post-stack migration, deconvolution, and noise-reduction filtering. Seismic migration was crucial for detecting and mitigating complex fault-related diffraction patterns, which produced an apparent 'folding' of reflectors on unmigrated sections. Detected individual offsets of shallow reflectors range from 5 to 10 m for the top of Paleozoic bedrock and younger strata. The migrated sections generally indicate vertical to steeply dipping normal and reverse faults, which in places outline small horsts and/or grabens. Tilting or folding of stratal reflectors associated with faulting is also locally observed. At one site, the observed faulting is superimposed over a prominent antiformal structure, which may itself be a product of the Quaternary deformation that produced the steep normal and reverse faults. Our results suggest that faulting of the Paleozoic bedrock and younger sediments of the northern Mississippi embayment is more pervasive and less localized than previously thought.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120000039","issn":"00371106","usgsCitation":"McBride, J., and Nelson, W., 2001, Seismic reflection images of shallow faulting, northernmost Mississippi embayment, north of the New Madrid seismic zone: Bulletin of the Seismological Society of America, v. 91, no. 1, p. 128-129, https://doi.org/10.1785/0120000039.","startPage":"128","endPage":"129","numberOfPages":"2","costCenters":[],"links":[{"id":207455,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120000039"},{"id":232418,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8b42e4b08c986b3176e3","contributors":{"authors":[{"text":"McBride, J.H.","contributorId":99712,"corporation":false,"usgs":true,"family":"McBride","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":398347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, W.J.","contributorId":17762,"corporation":false,"usgs":true,"family":"Nelson","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":398346,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70023236,"text":"70023236 - 2001 - Nitrogen input to the Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-09-25T18:16:02.119947","indexId":"70023236","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Nitrogen input to the Gulf of Mexico","docAbstract":"Historical streamflow and concentration data were used in regression models to estimate the annual flux of nitrogen (N) to the Gulf of Mexico and to determine where the nitrogen originates within the Mississippi Basin. Results show that for 1980-1996 the mean annual total N flux to the Gulf of Mexico was 1 568 000 t yr-1. The flux was about 61% nitrate N, 37% organic N, and 2% ammonium N. The flux of nitrate N to the Gulf has approximately tripled in the last 30 years with most of the increase occurring between 1970 and 1983. The mean annual N flux has changed little since the early 1980s, but large year-to-year variations in N flux occur because of variations in precipitation. During wet years the N flux can increase by 50% or more due to flushing of nitrate N that has accumulated in the soils and unsaturated zones in the basin. The principal source areas of N are basins in southern Minnesota, Iowa, Illinois, Indiana, and Ohio that drain agricultural land. Basins in this region yield 1500 to more than 3100 kg N km-2 yr-1 to streams, several times the N yield of basins outside this region.","language":"English","publisher":"Wiley","doi":"10.2134/jeq2001.302329x","issn":"00472425","usgsCitation":"Goolsby, D.A., Battaglin, W., Aulenbach, B., and Hooper, R.P., 2001, Nitrogen input to the Gulf of Mexico, v. 30, no. 2, p. 329-336, https://doi.org/10.2134/jeq2001.302329x.","productDescription":"8 p.","startPage":"329","endPage":"336","numberOfPages":"8","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":232718,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi–Atchafalaya River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.28515625,\n              46.255846818480315\n            ],\n            [\n              -93.955078125,\n              46.98025235521883\n            ],\n            [\n              -98.173828125,\n              48.3416461723746\n            ],\n            [\n              -101.6015625,\n              48.22467264956519\n            ],\n            [\n              -102.12890625,\n              46.01222384063236\n            ],\n            [\n              -100.107421875,\n              42.94033923363181\n            ],\n            [\n              -97.03125,\n              41.44272637767212\n            ],\n            [\n              -94.306640625,\n              38.61687046392973\n            ],\n            [\n              -93.515625,\n              34.45221847282654\n            ],\n            [\n              -94.39453125,\n              30.221101852485987\n            ],\n            [\n              -92.46093749999999,\n              28.844673680771795\n            ],\n            [\n              -89.6484375,\n              28.844673680771795\n            ],\n            [\n              -88.330078125,\n              30.14512718337613\n            ],\n            [\n              -88.505859375,\n              34.23451236236987\n            ],\n            [\n              -87.451171875,\n              39.57182223734374\n            ],\n            [\n              -85.341796875,\n              39.30029918615029\n            ],\n            [\n              -78.75,\n              39.57182223734374\n            ],\n            [\n              -75.234375,\n              42.09822241118974\n            ],\n            [\n              -75.41015624999999,\n              44.59046718130883\n            ],\n            [\n              -79.1015625,\n              42.94033923363181\n            ],\n            [\n              -82.6171875,\n              41.44272637767212\n            ],\n            [\n              -87.5390625,\n              41.77131167976407\n            ],\n            [\n              -89.296875,\n              43.644025847699496\n            ],\n            [\n              -91.318359375,\n              45.9511496866914\n            ],\n            [\n              -92.28515625,\n              46.255846818480315\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a66e2e4b0c8380cd73051","contributors":{"authors":[{"text":"Goolsby, D. A.","contributorId":50508,"corporation":false,"usgs":true,"family":"Goolsby","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":396958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battaglin, W.A.","contributorId":16376,"corporation":false,"usgs":true,"family":"Battaglin","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":396956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aulenbach, Brent T.","contributorId":62766,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent T.","affiliations":[],"preferred":false,"id":396959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hooper, R. P.","contributorId":26321,"corporation":false,"usgs":true,"family":"Hooper","given":"R.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":396957,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70022993,"text":"70022993 - 2001 - Standard Reference Material (SRM 1990) for Single Crystal Diffractometer Alignment","interactions":[],"lastModifiedDate":"2013-03-16T15:42:58","indexId":"70022993","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2445,"text":"Journal of Research of the National Institute of Standards and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Standard Reference Material (SRM 1990) for Single Crystal Diffractometer Alignment","docAbstract":"An international project was successfully completed which involved two major undertakings: (1) a round-robin to demonstrate the viability of the selected standard and (2) the certification of the lattice parameters of the SRM 1990, a Standard Reference Material?? for single crystal diffractometer alignment. This SRM is a set of ???3500 units of Cr-doped Al2O3, or ruby spheres [(0 420.011 mole fraction % Cr (expanded uncertainty)]. The round-robin consisted of determination of lattice parameters of a pair of crystals' the ruby sphere as a standard, and a zeolite reference to serve as an unknown. Fifty pairs of crystals were dispatched from Hauptman-Woodward Medical Research Institute to volunteers in x-ray laboratories world-wide. A total of 45 sets of data was received from 32 laboratories. The mean unit cell parameters of the ruby spheres was found to be a=4.7608 A?? ?? 0.0062 A??, and c=12.9979 A?? ?? 0.020 A?? (95 % intervals of the laboratory means). The source of errors of outlier data was identified. The SRM project involved the certification of lattice parameters using four well-aligned single crystal diffractometers at (Bell Laboratories) Lucent Technologies and at NRC of Canada (39 ruby spheres), the quantification of the Cr content using a combined microprobe and SEM/EDS technique, and the evaluation of the mosaicity of the ruby spheres using a double-crystal spectrometry method. A confirmation of the lattice parameters was also conducted using a Guinier-Ha??gg camera. Systematic corrections of thermal expansion and refraction corrections were applied. These rubies_ are rhombohedral, with space group R3c. The certified mean unit cell parameters are a=4.76080 ?? 0.00029 A??, and c=12 99568 A?? ?? 0.00087 A?? (expanded uncertainty). These certified lattice parameters fall well within the results of those obtained from the international round-robin study. The Guinier-Ha??gg transmission measurements on five samples of powdered rubies (a=4.7610 A?? ?? 0.0013 A??, and c=12.9954 A?? ?? 0.0034 A??) agreed well with the values obtained from the single crystal spheres.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Research of the National Institute of Standards and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NIST","doi":"10.6028/jres.106.058","issn":"1044677X","usgsCitation":"Wong-Ng, W., Siegrist, T., DeTitta, G., Finger, L., Evans, H.T., Gabe, E., Enright, G., Armstrong, J., Levenson, M., Cook, L., and Hubbard, C., 2001, Standard Reference Material (SRM 1990) for Single Crystal Diffractometer Alignment: Journal of Research of the National Institute of Standards and Technology, v. 106, no. 6, p. 1071-1095, https://doi.org/10.6028/jres.106.058.","startPage":"1071","endPage":"1095","numberOfPages":"25","costCenters":[],"links":[{"id":478909,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.6028/jres.106.058","text":"External Repository"},{"id":269469,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.6028/jres.106.058"},{"id":233618,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b96a7e4b08c986b31b627","contributors":{"authors":[{"text":"Wong-Ng, W.","contributorId":96056,"corporation":false,"usgs":true,"family":"Wong-Ng","given":"W.","email":"","affiliations":[],"preferred":false,"id":395734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siegrist, T.","contributorId":60418,"corporation":false,"usgs":true,"family":"Siegrist","given":"T.","email":"","affiliations":[],"preferred":false,"id":395732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeTitta, G.T.","contributorId":48357,"corporation":false,"usgs":true,"family":"DeTitta","given":"G.T.","email":"","affiliations":[],"preferred":false,"id":395730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finger, L.W.","contributorId":37119,"corporation":false,"usgs":true,"family":"Finger","given":"L.W.","email":"","affiliations":[],"preferred":false,"id":395728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, H. T. Jr.","contributorId":41859,"corporation":false,"usgs":true,"family":"Evans","given":"H.","suffix":"Jr.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":395729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gabe, E.J.","contributorId":18924,"corporation":false,"usgs":true,"family":"Gabe","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":395726,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Enright, G.D.","contributorId":6229,"corporation":false,"usgs":true,"family":"Enright","given":"G.D.","email":"","affiliations":[],"preferred":false,"id":395725,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Armstrong, J.T.","contributorId":56422,"corporation":false,"usgs":true,"family":"Armstrong","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":395731,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Levenson, M.","contributorId":102669,"corporation":false,"usgs":true,"family":"Levenson","given":"M.","email":"","affiliations":[],"preferred":false,"id":395735,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cook, L.P.","contributorId":29171,"corporation":false,"usgs":true,"family":"Cook","given":"L.P.","email":"","affiliations":[],"preferred":false,"id":395727,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hubbard, C.R.","contributorId":66452,"corporation":false,"usgs":true,"family":"Hubbard","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":395733,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70010415,"text":"70010415 - 2001 - Characteristics of water-well yields in part of the Blue Ridge Geologic Province in Loudoun County, Virginia","interactions":[],"lastModifiedDate":"2022-12-22T18:58:55.5502","indexId":"70010415","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics of water-well yields in part of the Blue Ridge Geologic Province in Loudoun County, Virginia","docAbstract":"<p><span>Loudoun County, Virginia, which is located about 50 km to the west of Washington, DC, was the site of intensive suburban development during the 1980s and 1990s. In the western half of the county, the source of water for domestic use has been from wells drilled into the fractured crystalline bedrock of the Blue Ridge Geologic Province. A comprehensive digital database that contains information on initial yield, location, depth, elevation, and other data for 3651 wells drilled in this 825.5-km</span><sup>2</sup><span>&nbsp;area was combined with a digital geologic map to form the basis for a study of geologic and temporal controls on water-well yields. Statistical modeling procedures were used to determine that mean yields for the wells were significantly different as a function of structural setting, genetic rock type, and geologic map unit. The Bonferroni procedure then was used to determine which paired comparisons contributed to these significant differences. The data were divided into 15 temporal drilling increments to determine if the time-dependent trends that exist for the Loudoun County data are similar to those discovered in a previous study of water-well yields in the Pinardville 7.5-min quadrangle, New Hampshire. In both regions, trends, which include increasing proportions of very low yield wells and increasing well depths through time, and the counterintuitive result of increasing mean well yields through time, were similar. In addition, a yield-to-depth curve similar tothat discovered in the Pinardville quadrangle was recognized in this study. Thus, the temporal model with a feed-forward-loop mechanism to explain the temporal trends in well characteristics proposed for the New Hampshire study appears to apply to western Loudoun County.</span></p>","language":"English","publisher":"Springer","doi":"10.1023/A:1011559113969","issn":"15207439","usgsCitation":"Sutphin, D.M., Drew, L., Schuenemeyer, J., and Burton, W., 2001, Characteristics of water-well yields in part of the Blue Ridge Geologic Province in Loudoun County, Virginia: Natural Resources Research, v. 10, no. 1, p. 1-20, https://doi.org/10.1023/A:1011559113969.","productDescription":"20 p.","startPage":"1","endPage":"20","costCenters":[],"links":[{"id":219373,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Loudoun County","otherGeospatial":"Blue Ridge Geologic Province","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":2869,\"properties\":{\"name\":\"Loudoun\",\"state\":\"VA\"},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.6769,39.3266],[-77.6746,39.3266],[-77.671,39.3253],[-77.6691,39.3237],[-77.668,39.3228],[-77.6665,39.3216],[-77.665,39.3205],[-77.6638,39.3195],[-77.6609,39.3176],[-77.6539,39.3145],[-77.6442,39.3113],[-77.6371,39.3093],[-77.635,39.3087],[-77.624,39.3063],[-77.6108,39.3043],[-77.5989,39.3027],[-77.5883,39.3032],[-77.5851,39.3041],[-77.5824,39.305],[-77.5782,39.3064],[-77.5773,39.3067],[-77.5738,39.3074],[-77.5699,39.3082],[-77.5645,39.3064],[-77.5615,39.3041],[-77.5598,39.3009],[-77.5592,39.2992],[-77.5598,39.2964],[-77.5592,39.2937],[-77.558,39.2896],[-77.5559,39.2867],[-77.5532,39.2837],[-77.5509,39.2811],[-77.5496,39.2793],[-77.5478,39.2772],[-77.5472,39.2765],[-77.545,39.2743],[-77.5415,39.2706],[-77.5407,39.2697],[-77.5395,39.2683],[-77.5386,39.2672],[-77.5377,39.266],[-77.5367,39.2651],[-77.5345,39.2637],[-77.5322,39.2625],[-77.5316,39.2623],[-77.5275,39.2617],[-77.5267,39.2617],[-77.5257,39.2617],[-77.5234,39.2614],[-77.5217,39.2611],[-77.5187,39.2602],[-77.5162,39.2593],[-77.5104,39.2569],[-77.5056,39.2555],[-77.5027,39.2546],[-77.498,39.2531],[-77.4956,39.2525],[-77.4944,39.2522],[-77.4909,39.2511],[-77.4862,39.2489],[-77.4813,39.2461],[-77.4795,39.2447],[-77.476,39.2416],[-77.4712,39.2379],[-77.4689,39.2364],[-77.467,39.2352],[-77.4639,39.2335],[-77.4629,39.233],[-77.4606,39.2317],[-77.4564,39.2284],[-77.456,39.2248],[-77.4561,39.2216],[-77.4575,39.2198],[-77.4593,39.2176],[-77.4611,39.2162],[-77.4623,39.2153],[-77.4676,39.2117],[-77.469,39.2102],[-77.4706,39.2085],[-77.4718,39.2067],[-77.4727,39.2028],[-77.4727,39.1997],[-77.4728,39.1969],[-77.4734,39.1941],[-77.4736,39.1935],[-77.476,39.1908],[-77.4789,39.189],[-77.4831,39.1872],[-77.488,39.1854],[-77.4909,39.1843],[-77.4928,39.1837],[-77.4962,39.1825],[-77.4994,39.1815],[-77.5044,39.1799],[-77.508,39.1777],[-77.5104,39.1763],[-77.511,39.1758],[-77.5128,39.1736],[-77.514,39.1723],[-77.5151,39.1704],[-77.5169,39.1654],[-77.5192,39.1586],[-77.521,39.1529],[-77.5228,39.1474],[-77.5246,39.1428],[-77.5246,39.1387],[-77.5243,39.1363],[-77.5238,39.1339],[-77.5221,39.1302],[-77.5204,39.1274],[-77.5199,39.1265],[-77.5176,39.1238],[-77.5104,39.1196],[-77.5089,39.119],[-77.5065,39.1182],[-77.504,39.1174],[-77.5017,39.1167],[-77.4993,39.1162],[-77.4973,39.1156],[-77.4958,39.1152],[-77.4935,39.1143],[-77.4899,39.1132],[-77.489,39.1129],[-77.4872,39.1121],[-77.4847,39.111],[-77.4813,39.1079],[-77.4749,39.1006],[-77.4703,39.0954],[-77.4669,39.0903],[-77.4651,39.0878],[-77.4647,39.087],[-77.4624,39.0821],[-77.4606,39.0794],[-77.4564,39.0752],[-77.4547,39.0739],[-77.4532,39.0729],[-77.449,39.0719],[-77.4431,39.0718],[-77.4409,39.0718],[-77.4372,39.0717],[-77.428,39.0707],[-77.4165,39.0695],[-77.4096,39.0687],[-77.4073,39.0685],[-77.3935,39.066],[-77.3823,39.0644],[-77.3687,39.0637],[-77.3545,39.063],[-77.3464,39.0629],[-77.3444,39.0629],[-77.3439,39.0629],[-77.3361,39.0623],[-77.3334,39.062],[-77.3314,39.0617],[-77.3273,39.0611],[-77.4291,38.9609],[-77.4705,38.9204],[-77.4747,38.9155],[-77.5369,38.8475],[-77.5386,38.8494],[-77.5445,38.8504],[-77.5474,38.8536],[-77.5502,38.8573],[-77.5489,38.8618],[-77.5505,38.8709],[-77.5502,38.8799],[-77.5525,38.885],[-77.5671,38.8888],[-77.5836,38.8932],[-77.5882,38.8969],[-77.5917,38.9005],[-77.5969,38.9029],[-77.6016,38.9066],[-77.6044,38.9098],[-77.6061,38.9121],[-77.6106,38.9212],[-77.6187,38.9318],[-77.6286,38.9356],[-77.6379,38.9425],[-77.6426,38.9426],[-77.6474,38.9422],[-77.6568,38.9437],[-77.9612,39.0154],[-77.9558,39.0189],[-77.9415,39.0224],[-77.9367,39.0264],[-77.927,39.0349],[-77.909,39.0469],[-77.8993,39.054],[-77.8921,39.0612],[-77.8817,39.076],[-77.8792,39.0782],[-77.8679,39.0813],[-77.8619,39.0853],[-77.8564,39.0938],[-77.8548,39.1092],[-77.8523,39.1155],[-77.8493,39.1182],[-77.8397,39.1221],[-77.8331,39.1275],[-77.8299,39.1343],[-77.8262,39.1353],[-77.8239,39.1371],[-77.8227,39.1409],[-77.8222,39.1429],[-77.8213,39.1468],[-77.8207,39.1492],[-77.8198,39.1516],[-77.8178,39.1574],[-77.816,39.1605],[-77.8135,39.1641],[-77.8104,39.1682],[-77.8074,39.1708],[-77.8053,39.1743],[-77.8036,39.178],[-77.8028,39.183],[-77.8009,39.1875],[-77.7995,39.1923],[-77.7982,39.1974],[-77.7956,39.2045],[-77.7919,39.2122],[-77.7917,39.2127],[-77.7888,39.2194],[-77.7851,39.2248],[-77.782,39.2283],[-77.781,39.2292],[-77.7776,39.2324],[-77.7755,39.2342],[-77.7747,39.235],[-77.7736,39.2364],[-77.772,39.2387],[-77.7713,39.2404],[-77.771,39.2418],[-77.7703,39.2459],[-77.7709,39.2486],[-77.7713,39.2531],[-77.771,39.2545],[-77.7707,39.2554],[-77.7694,39.2576],[-77.7681,39.2589],[-77.7658,39.2612],[-77.7636,39.2632],[-77.7629,39.2639],[-77.7598,39.2674],[-77.7573,39.2719],[-77.7559,39.2765],[-77.7546,39.2824],[-77.7527,39.2864],[-77.7496,39.2909],[-77.7471,39.2963],[-77.7446,39.3003],[-77.7402,39.3052],[-77.7371,39.3101],[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D. M.","contributorId":27424,"corporation":false,"usgs":true,"family":"Sutphin","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":358864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drew, L.J.","contributorId":69157,"corporation":false,"usgs":true,"family":"Drew","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":358866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuenemeyer, J.H.","contributorId":106094,"corporation":false,"usgs":true,"family":"Schuenemeyer","given":"J.H.","affiliations":[],"preferred":false,"id":358867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burton, W.C.","contributorId":41439,"corporation":false,"usgs":true,"family":"Burton","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":358865,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70023272,"text":"70023272 - 2001 - Effective matrix diffusion in kilometer‐scale transport in fractured crystalline rock","interactions":[],"lastModifiedDate":"2018-03-27T17:08:33","indexId":"70023272","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","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":"Effective matrix diffusion in kilometer‐scale transport in fractured crystalline rock","docAbstract":"<p><span>Concentrations of tritium (</span><sup>3</sup><span>H) and dichlorodifluoromethane (CFC‐12) in water samples taken from glacial drift and fractured crystalline rock over 4 km</span><sup>2</sup><span><span>&nbsp;</span>in central New Hampshire are interpreted to identify a conceptual model of matrix diffusion and the magnitude of the diffusion coefficient. Dispersion and mass transfer to and from fractures has affected the<span>&nbsp;</span></span><sup>3</sup><span>H concentration to the extent that the peak<span>&nbsp;</span></span><sup>3</sup><span>H concentration of the 1960s is no longer distinguishable. Because of heterogeneity in the bedrock the sparsely distributed chemical data do not warrant a three‐dimensional transport model. Instead, a one‐dimensional model of CFC‐12 and<span>&nbsp;</span></span><sup>3</sup><span>H migration along flow lines in the glacial drift and bedrock is used to place bounds on the processes affecting kilometer‐scale transport, arid model parameters are varied to reproduce the measured relation between<span>&nbsp;</span></span><sup>3</sup><span>H and CFC‐12, rather than their spatial distributions. A model of mass exchange to and from fractures that is dependent on the time‐varying concentration gradient at fracture surfaces qualitatively reproduces the measured relation between<span>&nbsp;</span></span><sup>3</sup><span>H and CFC‐12 with an upper bound for the fracture dispersivity approximately equal to 250 m and a lower bound for the effective matrix diffusion coefficient equal to 1 m</span><sup>2</sup><span><span>&nbsp;</span>yr</span><sup>−1</sup><span>. The diffusion coefficient at the kilometer scale is at least 3 orders of magnitude greater than laboratory estimates of diffusion in crystalline rock. The large diffusion coefficient indicates that diffusion into an immobile fluid phase (rock matrix) is masked at the kilometer scale by advective mass exchange between fractures with large contrasts in trarismissivity. The measured transmissivity of fractures in the study area varies over more than 6 orders of magnitude. Advective mass exchange from high‐permeability fractures to low‐permeability fractures results in short migration distances of a chemical constituent in low‐permeability fractures over an extended period of time before reentering high‐permeability fractures; viewed at the kilometer scale, this process is analogous to the chemical constituent diffusing into and out of an immobile fluid phase.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2000WR900301","usgsCitation":"Shapiro, A.M., 2001, Effective matrix diffusion in kilometer‐scale transport in fractured crystalline rock: Water Resources Research, v. 37, no. 3, p. 507-522, https://doi.org/10.1029/2000WR900301.","productDescription":"16 p.","startPage":"507","endPage":"522","costCenters":[],"links":[{"id":487467,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2000wr900301","text":"Publisher Index Page"},{"id":232635,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0633e4b0c8380cd5114d","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":397102,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70022978,"text":"70022978 - 2001 - Lessons learned from long-term ecosystem research and monitoring in alpine and subalpine basins of the Colorado Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2018-02-21T19:47:45","indexId":"70022978","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1485,"text":"Ekologia (Bratislava)","active":true,"publicationSubtype":{"id":10}},"title":"Lessons learned from long-term ecosystem research and monitoring in alpine and subalpine basins of the Colorado Rocky Mountains, USA","docAbstract":"Long-term ecosystem research and monitoring was begun in the Loch Vale watershed of Rocky Mountain National Park in 1983, after extensive survey work to identify the best location. Then, as now, our scientific objectives were to understand natural biogeochemical cycles and variability, so that we could differentiate ecosystem changes from human-caused disturbances, such as atmospheric deposition of pollutants and climate change. We have learned many lessons, often through our mistakes, that are worth passing on. Clear scientific objectives, even for long-term monitoring, are essential. Standardized methods, including rigorous quality assurance procedures should be adhered to from the beginning of the program. All data, even those collected routinely for background records, should be scrutinized and summarized at least once a year. Freely share basic information such as weather, hydrologic, chemical, and descriptive records with other researchers who can build upon your efforts. Use many tools when asking complex ecological questions, in order to minimize bias toward specific results. Publish frequently; long-term studies do not imply there are no interim conclusions or interesting findings. Interpret findings frequently to policy makers and citizens; increased understanding of the environment and human-caused changes may improve natural resource management, and build support for ecological research. And finally, be persistent. Long-term ecological research can be frustrating and difficult to maintain, yet is often the best way to observe and understand ecological change on a meaningful time scale.","language":"English","publisher":"Institute of Landscape Ecology of Slovak Academy of Sciences","issn":"1335342X","usgsCitation":"Baron, J., 2001, Lessons learned from long-term ecosystem research and monitoring in alpine and subalpine basins of the Colorado Rocky Mountains, USA: Ekologia (Bratislava), v. 20, no. Supplement 2, p. 25-30.","productDescription":"6 p.","startPage":"25","endPage":"30","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":233397,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountains","volume":"20","issue":"Supplement 2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a465ce4b0c8380cd6761d","contributors":{"authors":[{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":395673,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70023271,"text":"70023271 - 2001 - Quantifying contributions to storm runoff through end-member mixing analysis and hydrologic measurements at the Panola Mountain research watershed (Georgia, USA)","interactions":[],"lastModifiedDate":"2012-03-12T17:20:14","indexId":"70023271","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying contributions to storm runoff through end-member mixing analysis and hydrologic measurements at the Panola Mountain research watershed (Georgia, USA)","docAbstract":"The geographic sources and hydrologic flow paths of stormflow in small catchments are not well understood because of limitations in sampling methods and insufficient resolution of potential end members. To address these limitations, an extensive hydrologic dataset was collected at a 10 ha catchment at Panola Mountain research watershed near Atlanta, GA, to quantify the contribution of three geographic sources of stormflow. Samples of stream water, runoff from an outcrop, and hillslope subsurface stormflow were collected during two rainstorms in the winter of 1996, and an end-member mixing analysis model that included five solutes was developed. Runoff from the outcrop, which occupies about one-third of the catchment area, contributed 50-55% of the peak streamflow during the 2 February rainstorm, and 80-85% of the peak streamflow during the 6-7 March rainstorm; it also contributed about 50% to total streamflow during the dry winter conditions that preceded the 6-7 March storm. Riparian groundwater runoff was the largest component of stream runoff (80-100%) early during rising streamflow and throughout stream recession, and contributed about 50% to total stream runoff during the 2 February storm, which was preceded by wet winter conditions. Hillslope runoff contributed 25-30% to peak stream runoff and 15-18% to total stream runoff during both storms. The temporal response of the three runoff components showed general agreement with hydrologic measurements from the catchment during each storm. Estimates of recharge from the outcrop to the riparian aquifer that were independent of model calculations indicated that storage in the riparian aquifer could account for the volume of rain that fell on the outcrop but did not contribute to stream runoff. The results of this study generally indicate that improvements in the ability of mixing models to describe the hydrologic response accurately in forested catchments may depend on better identification, and detailed spatial and temporal characterization of the mobile waters from the principal hydrologic source areas that contribute to stream runoff. Copyright ?? 2001 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/hyp.246","issn":"08856087","usgsCitation":"Burns, D.A., McDonnell, J.J., Hooper, R.P., Peters, N., Freer, J., Kendall, C., and Beven, K., 2001, Quantifying contributions to storm runoff through end-member mixing analysis and hydrologic measurements at the Panola Mountain research watershed (Georgia, USA): Hydrological Processes, v. 15, no. 10, p. 1903-1924, https://doi.org/10.1002/hyp.246.","startPage":"1903","endPage":"1924","numberOfPages":"22","costCenters":[],"links":[{"id":207572,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.246"},{"id":232634,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2001-07-11","publicationStatus":"PW","scienceBaseUri":"505a91c5e4b0c8380cd8044d","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":29450,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":397098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonnell, Jeffery J. 0000-0002-3880-3162","orcid":"https://orcid.org/0000-0002-3880-3162","contributorId":62723,"corporation":false,"usgs":false,"family":"McDonnell","given":"Jeffery","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":397101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooper, R. P.","contributorId":26321,"corporation":false,"usgs":true,"family":"Hooper","given":"R.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":397097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":397099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freer, J.E.","contributorId":18930,"corporation":false,"usgs":true,"family":"Freer","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":397095,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, C. 0000-0002-0247-3405","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":35050,"corporation":false,"usgs":true,"family":"Kendall","given":"C.","affiliations":[],"preferred":false,"id":397100,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beven, K.","contributorId":25320,"corporation":false,"usgs":true,"family":"Beven","given":"K.","email":"","affiliations":[],"preferred":false,"id":397096,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70023085,"text":"70023085 - 2001 - Comparisons of ground motions from the 1999 Chi-Chi, earthquake with empirical predictions largely based on data from California","interactions":[],"lastModifiedDate":"2012-03-12T17:20:40","indexId":"70023085","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","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":"Comparisons of ground motions from the 1999 Chi-Chi, earthquake with empirical predictions largely based on data from California","docAbstract":"This article has the modest goal of comparing the ground motions recorded during the 1999 Chi-Chi, Taiwan, mainshock with predictions from four empirical-based equations commonly used for western North America; these empirical predictions are largely based on data from California. Comparisons are made for peak acceleration and 5%-damped response spectra at periods between 0.1 and 4 sec. The general finding is that the Chi-Chi ground motions are smaller than those predicted from the empirically based equations for periods less than about 1 sec by factors averaging about 0.4 but as small as 0.26 (depending on period, on which equation is used, and on whether the sites are assumed to be rock or soil). There is a trend for the observed motions to approach or even exceed the predicted motions for longer periods. Motions at similar distances (30-60 km) to the east and to the west of the fault differ dramatically at periods between about 2 and 20 sec: Long-duration wave trains are present on the motions to the west, and when normalized to similar amplitudes at short periods, the response spectra of the motions at the western stations are as much as five times larger than those of motions from eastern stations. The explanation for the difference is probably related to site and propagation effects; the western stations are on the Coastal Plain, whereas the eastern stations are at the foot of young and steep mountains, either in the relatively narrow Longitudinal Valley or along the eastern coast-the sediments underlying the eastern stations are probably shallower and have higher velocity than those under the western stations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120000733","issn":"00371106","usgsCitation":"Boore, D., 2001, Comparisons of ground motions from the 1999 Chi-Chi, earthquake with empirical predictions largely based on data from California: Bulletin of the Seismological Society of America, v. 91, no. 5, p. 1212-1217, https://doi.org/10.1785/0120000733.","startPage":"1212","endPage":"1217","numberOfPages":"6","costCenters":[],"links":[{"id":233913,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":208278,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120000733"}],"volume":"91","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f8c2e4b0c8380cd4d2a2","contributors":{"authors":[{"text":"Boore, D.M. 0000-0002-8605-9673","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":64226,"corporation":false,"usgs":true,"family":"Boore","given":"D.M.","affiliations":[],"preferred":false,"id":396083,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70023242,"text":"70023242 - 2001 - Seismic tomography shows that upwelling beneath Iceland is confined to the upper mantle","interactions":[],"lastModifiedDate":"2012-03-12T17:19:59","indexId":"70023242","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Seismic tomography shows that upwelling beneath Iceland is confined to the upper mantle","docAbstract":"We report the results of the highest-resolution teleseismic tomography study yet performed of the upper mantle beneath Iceland. The experiment used data gathered by the Iceland Hotspot Project, which operated a 35-station network of continuously recording, digital, broad-band seismometers over all of Iceland 1996-1998. The structure of the upper mantle was determined using the ACH damped least-squares method and involved 42 stations, 3159 P-wave, and 1338 S-wave arrival times, including the phases P, pP, sP, PP, SP, PcP, PKIKP, pPKIKP, S, sS, SS, SKS and Sdiff. Artefacts, both perceptual and parametric, were minimized by well-tested smoothing techniques involving layer thinning and offset-and-averaging. Resolution is good beneath most of Iceland from ??? 60 km depth to a maximum of ??? 450 km depth and beneath the Tjornes Fracture Zone and near-shore parts of the Reykjanes ridge. The results reveal a coherent, negative wave-speed anomaly with a diameter of 200-250 km and anomalies in P-wave speed, Vp, as strong as -2.7 per cent and in S-wave speed, Vs, as strong as -4.9 per cent. The anomaly extends from the surface to the limit of good resolution at ??? 450 km depth. In the upper ??? 250 km it is centred beneath the eastern part of the Middle Volcanic Zone, coincident with the centre of the ??? 100 mGal Bouguer gravity low over Iceland, and a lower crustal low-velocity zone identified by receiver functions. This is probably the true centre of the Iceland hotspot. In the upper ??? 200 km, the low-wave-speed body extends along the Reykjanes ridge but is sharply truncated beneath the Tjornes Fracture Zone. This suggests that material may flow unimpeded along the Reykjanes ridge from beneath Iceland but is blocked beneath the Tjornes Fracture Zone. The magnitudes of the Vp, Vs and Vp/Vs anomalies cannot be explained by elevated temperature alone, but favour a model of maximum temperature anomalies <200 K, along with up to ??? 2 per cent of partial melt in the depth range ??? 100-300 km beneath east-central Iceland. The anomalous body is approximately cylindrical in the top 250 km but tabular in shape at greater depth, elongated north-south and generally underlying the spreading plate boundary. Such a morphological change and its relationship to surface rift zones are predicted to occur in convective upwellings driven by basal heating, passive upwelling in response to plate separation and lateral temperature gradients. Although we cannot resolve structure deeper than ??? 450 km, and do not detect a bottom to the anomaly, these models suggest that it extends no deeper than the mantle transition zone. Such models thus suggest a shallow origin for the Iceland hotspot rather than a deep mantle plume, and imply that the hotspot has been located on the spreading ridge in the centre of the north Atlantic for its entire history, and is not fixed relative to other Atlantic hotspots. The results are consistent with recent, regional full-thickness mantle tomography and whole-mantle tomography images that show a strong, low-wave-speed anomaly beneath the Iceland region that is confined to the upper mantle and thus do not require a plume in the lower mantle. Seismic and geochemical observations that are interpreted as indicating a lower mantle, or core-mantle boundary origin for the North Atlantic Igneous Province and the Iceland hotspot should be re-examined to consider whether they are consistent with upper mantle processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1046/j.0956-540X.2001.01470.x","issn":"0956540X","usgsCitation":"Foulger, G., Pritchard, M., Julian, B., Evans, J., Allen, R.M., Nolet, G., Morgan, W.J., Bergsson, B.H., Erlendsson, P., Jakobsdottir, S., Ragnarsson, S., Stefansson, R., and Vogfjord, K., 2001, Seismic tomography shows that upwelling beneath Iceland is confined to the upper mantle: Geophysical Journal International, v. 146, no. 2, p. 504-530, https://doi.org/10.1046/j.0956-540X.2001.01470.x.","startPage":"504","endPage":"530","numberOfPages":"27","costCenters":[],"links":[{"id":478974,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1046/j.0956-540x.2001.01470.x","text":"Publisher Index Page"},{"id":207314,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1046/j.0956-540X.2001.01470.x"},{"id":232159,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8b6fe4b08c986b31781e","contributors":{"authors":[{"text":"Foulger, G.R.","contributorId":14439,"corporation":false,"usgs":false,"family":"Foulger","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":396984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pritchard, M.J.","contributorId":102656,"corporation":false,"usgs":true,"family":"Pritchard","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":396993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Julian, B.R.","contributorId":101272,"corporation":false,"usgs":true,"family":"Julian","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":396992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, J.R.","contributorId":50526,"corporation":false,"usgs":true,"family":"Evans","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":396988,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, R. M.","contributorId":36170,"corporation":false,"usgs":false,"family":"Allen","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":396987,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nolet, G.","contributorId":26448,"corporation":false,"usgs":true,"family":"Nolet","given":"G.","email":"","affiliations":[],"preferred":false,"id":396986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morgan, W. J.","contributorId":10573,"corporation":false,"usgs":false,"family":"Morgan","given":"W.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":396981,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bergsson, B. H.","contributorId":19320,"corporation":false,"usgs":false,"family":"Bergsson","given":"B.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":396985,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Erlendsson, P.","contributorId":95638,"corporation":false,"usgs":true,"family":"Erlendsson","given":"P.","email":"","affiliations":[],"preferred":false,"id":396991,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jakobsdottir, S.","contributorId":64828,"corporation":false,"usgs":true,"family":"Jakobsdottir","given":"S.","email":"","affiliations":[],"preferred":false,"id":396989,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ragnarsson, S.","contributorId":12644,"corporation":false,"usgs":true,"family":"Ragnarsson","given":"S.","email":"","affiliations":[],"preferred":false,"id":396982,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stefansson, R.","contributorId":81650,"corporation":false,"usgs":true,"family":"Stefansson","given":"R.","email":"","affiliations":[],"preferred":false,"id":396990,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Vogfjord, K.","contributorId":13768,"corporation":false,"usgs":true,"family":"Vogfjord","given":"K.","email":"","affiliations":[],"preferred":false,"id":396983,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":50468,"text":"ofr01497 - 2001 - Databases and simplified geology for mineralized areas, claims, mines and prospects in Wyoming","interactions":[],"lastModifiedDate":"2023-03-22T19:52:00.521586","indexId":"ofr01497","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2001-497","title":"Databases and simplified geology for mineralized areas, claims, mines and prospects in Wyoming","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr01497","usgsCitation":"Wilson, A.B., Klein, T.L., and Heran, W.D., 2001, Databases and simplified geology for mineralized areas, claims, mines and prospects in Wyoming (Version 1.0): U.S. Geological Survey Open-File Report 2001-497, Report: 17 p.; Readme; Data Files; Metadata, https://doi.org/10.3133/ofr01497.","productDescription":"Report: 17 p.; Readme; Data Files; Metadata","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":175814,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":414569,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_46481.htm","linkFileType":{"id":5,"text":"html"}},{"id":4278,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2001/ofr-01-0497/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.00566941962046,\n              45.03496541924736\n            ],\n            [\n              -111.00566941962046,\n              41.03921315744799\n            ],\n            [\n              -104.07994244042345,\n              41.03921315744799\n            ],\n            [\n              -104.07994244042345,\n              45.03496541924736\n            ],\n            [\n              -111.00566941962046,\n              45.03496541924736\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672a0c","contributors":{"authors":[{"text":"Wilson, Anna B. 0000-0002-9737-2614 awilson@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-2614","contributorId":1619,"corporation":false,"usgs":true,"family":"Wilson","given":"Anna","email":"awilson@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":241525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klein, Terry L. tklein@usgs.gov","contributorId":1244,"corporation":false,"usgs":true,"family":"Klein","given":"Terry","email":"tklein@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":241524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heran, William D. wheran@usgs.gov","contributorId":2246,"corporation":false,"usgs":true,"family":"Heran","given":"William","email":"wheran@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":241526,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70023033,"text":"70023033 - 2001 - Tannin diagenesis in mangrove leaves from a tropical estuary: A novel molecular approach","interactions":[],"lastModifiedDate":"2018-09-18T10:37:45","indexId":"70023033","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Tannin diagenesis in mangrove leaves from a tropical estuary: A novel molecular approach","docAbstract":"Molecular-level condensed tannin analyses were conducted on a series of mangrove (Rhizophora mangle) leaves at various stages of decomposition in a tropical estuary. Total molecular tannin yields ranged from 0.5% ash-free dry weight (AFDW) in the most highly degraded black leaves (6-7 weeks in the water) up to >7% AFDW in fresh leaves (<1 week in the water). Total tannin exhibits an intermediate lability in these leaves relative to other measured biochemicals. Leaching is an important mechanism in tannin removal from leaves as indicated by the 30% loss of measurable tannin during a leaching experiment. Condensed tannin was >80% procyanidin (PC) with the remainder being prodelphinidin (PD). PD tannin, with its higher degree of hydroxylation, proved to be more labile than PC tannin. Average chain length of condensed tannin (degree of polymerization) exhibited an initial increase in response to leaching, but later decreased in the subsequent shift toward abiotic or microbially mediated chemical reactions. Several trends point toward a possible condensation reaction in which tannin plays a role in nitrogen immobilization. These include an apparent inverse correlation between molecular tannin and nitrogen, a positive correlation between molecular tannin and percent basic amino acids, 13C-NMR data indicating transformation of tannin as opposed to remineralization, and 13C-NMR data showing loss of condensed tannin B-ring phenolic carbons coupled with preservation of A-ring phenolic carbon. In addition to condensed tannin, the molecular method used also yielded several triterpenoids. Triterpenoids accounted for up to 3.5% AFDW of the leaf material and exhibited a threefold increase between yellow senescent leaves entering the estuary and black leaves. This trend is likely due to the weakening of protective cuticular membranes during leaf decomposition, which leads to increased yields in the acidic conditions used for tannin analyses. Copyright ?? 2001 Elsevier Science Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S0016-7037(01)00641-X","issn":"00167037","usgsCitation":"Hernes, P., Benner, R., Cowie, G., Goi, M., Bergamaschi, B., and Hedges, J.I., 2001, Tannin diagenesis in mangrove leaves from a tropical estuary: A novel molecular approach: Geochimica et Cosmochimica Acta, v. 65, no. 18, p. 3109-3122, https://doi.org/10.1016/S0016-7037(01)00641-X.","startPage":"3109","endPage":"3122","numberOfPages":"14","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":233692,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":208173,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0016-7037(01)00641-X"}],"volume":"65","issue":"18","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba3d7e4b08c986b31ff15","contributors":{"authors":[{"text":"Hernes, P.J.","contributorId":89651,"corporation":false,"usgs":true,"family":"Hernes","given":"P.J.","affiliations":[],"preferred":false,"id":395887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benner, R.","contributorId":34656,"corporation":false,"usgs":true,"family":"Benner","given":"R.","email":"","affiliations":[],"preferred":false,"id":395885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cowie, G.L.","contributorId":96009,"corporation":false,"usgs":true,"family":"Cowie","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":395888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goi, M.A.","contributorId":35515,"corporation":false,"usgs":true,"family":"Goi","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":395886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergamaschi, B.A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":22401,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"B.A.","affiliations":[],"preferred":false,"id":395883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hedges, J. 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,{"id":85669,"text":"85669 - 2001 - Type characters of non-native plant species in Great Lakes national parks (USA)","interactions":[],"lastModifiedDate":"2015-05-04T12:48:54","indexId":"85669","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Type characters of non-native plant species in Great Lakes national parks (USA)","docAbstract":"<p>Non-native plant species are increasing in frequency and abundance in many natural areas in the United States. In Midwestern National Parks, as much as one third of the flora may be non-native. It was hypothesized that botanical characters of these species could be used to typify them and improve the methods of predicting invasions. Data on 19 characters of 341 non-native species from the four Great Lakes national lakeshores (Apostle Islands, Indiana Dunes, Pictured Rocks, and Sleeping Bear Dunes) and invasive non-native species for the State of Wisconsin were collected and studied. For many of the species, little data could be found, but for 139 of them, data were collected for at least 80% of the characters. The frequencies of classes of the characters were tabulated and ranked to typify the most common non-native species. This led to a description of a 'type species' just for these four National Parks. Three species of Cirsium, including Canada (C. arvense), marsh (C. palustre) and bull thistle (C. vulgare), matched the type species better than other species. C. vulgare occurs in more National Parks than the other thistles.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Plant Invasions: Species Ecology and Ecosystem Management","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Backhuys Publishers","publisherLocation":"Leiden, the Netherlands","usgsCitation":"Bennett, J.P., 2001, Type characters of non-native plant species in Great Lakes national parks (USA), chap. <i>of</i> Plant Invasions: Species Ecology and Ecosystem Management, p. 199-206.","productDescription":"p. 199-206","startPage":"199","endPage":"206","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":129466,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":15371,"rank":100,"type":{"id":15,"text":"Index 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,{"id":70188996,"text":"70188996 - 2001 - Using GIS to analyze animal movements in the marine environment","interactions":[],"lastModifiedDate":"2017-11-21T16:58:11","indexId":"70188996","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using GIS to analyze animal movements in the marine environment","docAbstract":"<p>Advanced methods for analyzing animal movements have been little used in the aquatic research environment compared to the terrestrial. In addition, despite obvious advantages of integrating geographic information systems (GIS) with spatial studies of animal movement behavior, movement analysis tools have not been integrated into GIS for either aquatic or terrestrial environments. We therefore developed software that integrates one of the most commonly used GIS programs (ArcView®) with a large collection of animal movement analysis tools. This application, the Animal Movement Analyst Extension (AMAE), can be loaded as an extension to ArcView® under multiple operating system platforms (PC, Unix, and Mac OS). It contains more than 50 functions, including parametric and nonparametric home range analyses, random walk models, habitat analyses, point and circular statistics, tests of complete spatial randomness, tests for autocorrelation and sample size, point and line manipulation tools, and animation tools. This paper describes the use of these functions in analyzing animal location data; some limited examples are drawn from a sonic-tracking study of Pacific halibut (<i>Hippoglossus stenolepis</i>) in Glacier Bay, Alaska. The extension is available on the Internet at www.absc.usgs.gov/glba/gistools/index.htm.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Spatial processes and management of marine populations","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Lowell Wakefield Symposium: Spatial Processes and Management of Marine Populations","conferenceDate":"October 27-30, 1999","conferenceLocation":"Anchorage, AK","language":"English","publisher":"University of Alaska Sea Grant College Program","doi":"10.4027/spmmp.2001","isbn":"1-56612-068-3","usgsCitation":"Hooge, P.N., Eichenlaub, W.M., and Solomon, E.K., 2001, Using GIS to analyze animal movements in the marine environment, <i>in</i> Spatial processes and management of marine populations, Anchorage, AK, October 27-30, 1999, p. 37-51, https://doi.org/10.4027/spmmp.2001.","productDescription":"15 p.","startPage":"37","endPage":"51","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":478850,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/38513","text":"External Repository"},{"id":343089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publicComments":"University of Alaska Sea Grant College Program Report No. AK-SG-01-02","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965d953e4b0d1f9f05bb95e","contributors":{"editors":[{"text":"Kruse, Gordon H.","contributorId":187450,"corporation":false,"usgs":false,"family":"Kruse","given":"Gordon","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":702326,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bez, Nicolas","contributorId":33041,"corporation":false,"usgs":false,"family":"Bez","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":702327,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Booth, Anthony","contributorId":224,"corporation":false,"usgs":false,"family":"Booth","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":702328,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Dorn, Martin W.","contributorId":3517,"corporation":false,"usgs":false,"family":"Dorn","given":"Martin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":702336,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Hills, Susan","contributorId":103995,"corporation":false,"usgs":false,"family":"Hills","given":"Susan","email":"","affiliations":[],"preferred":false,"id":702337,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Lipcius, Romuald N.","contributorId":101451,"corporation":false,"usgs":false,"family":"Lipcius","given":"Romuald","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":702338,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Pelletier, Dominique","contributorId":131089,"corporation":false,"usgs":false,"family":"Pelletier","given":"Dominique","email":"","affiliations":[],"preferred":false,"id":702339,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Roy, Claude","contributorId":85923,"corporation":false,"usgs":false,"family":"Roy","given":"Claude","email":"","affiliations":[],"preferred":false,"id":702340,"contributorType":{"id":2,"text":"Editors"},"rank":8},{"text":"Smith, Stephen J.","contributorId":38926,"corporation":false,"usgs":false,"family":"Smith","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":702341,"contributorType":{"id":2,"text":"Editors"},"rank":9},{"text":"Witherell, David B.","contributorId":98169,"corporation":false,"usgs":false,"family":"Witherell","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":702342,"contributorType":{"id":2,"text":"Editors"},"rank":10}],"authors":[{"text":"Hooge, Philip N.","contributorId":52029,"corporation":false,"usgs":true,"family":"Hooge","given":"Philip","email":"","middleInitial":"N.","affiliations":[{"id":106,"text":"Alaska Biological Science Center","active":false,"usgs":true}],"preferred":false,"id":702323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eichenlaub, William M.","contributorId":138819,"corporation":false,"usgs":false,"family":"Eichenlaub","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":702324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Solomon, Elizabeth K.","contributorId":138505,"corporation":false,"usgs":false,"family":"Solomon","given":"Elizabeth","email":"","middleInitial":"K.","affiliations":[{"id":106,"text":"Alaska Biological Science Center","active":false,"usgs":true}],"preferred":false,"id":702325,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":31512,"text":"ofr01474 - 2001 - Compilation of post-wildfire runoff-event data from the Western United States","interactions":[{"subject":{"id":31512,"text":"ofr01474 - 2001 - Compilation of post-wildfire runoff-event data from the Western United States","indexId":"ofr01474","publicationYear":"2001","noYear":false,"title":"Compilation of post-wildfire runoff-event data from the Western United States"},"predicate":"SUPERSEDED_BY","object":{"id":54021,"text":"ofr20041085 - 2004 - Compilation of Post Wildfire Runoff-Event Data from the Western United States","indexId":"ofr20041085","publicationYear":"2004","noYear":false,"title":"Compilation of Post Wildfire Runoff-Event Data from the Western United States"},"id":1}],"supersededBy":{"id":54021,"text":"ofr20041085 - 2004 - Compilation of Post Wildfire Runoff-Event Data from the Western United States","indexId":"ofr20041085","publicationYear":"2004","noYear":false,"title":"Compilation of Post Wildfire Runoff-Event Data from the Western United States"},"lastModifiedDate":"2024-07-15T21:29:17.432149","indexId":"ofr01474","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2001-474","title":"Compilation of post-wildfire runoff-event data from the Western United States","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr01474","usgsCitation":"Bigio, E.R., and Cannon, S.H., 2001, Compilation of post-wildfire runoff-event data from the Western United States (Version 1.0): U.S. Geological Survey Open-File Report 2001-474, HTML Document, https://doi.org/10.3133/ofr01474.","productDescription":"HTML Document","costCenters":[],"links":[{"id":161130,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":2692,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2001/ofr01474/ofr-01-0474.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1de4b07f02db6a9c2d","contributors":{"authors":[{"text":"Bigio, Erica R.","contributorId":89941,"corporation":false,"usgs":true,"family":"Bigio","given":"Erica","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":206264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannon, Susan H. cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":206263,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70023576,"text":"70023576 - 2001 - Historical trace metal accumulation in the sediments of an urbanized region of the Lake Champlain watershed, Burlington, Vermont","interactions":[],"lastModifiedDate":"2017-08-31T14:20:43","indexId":"70023576","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Historical trace metal accumulation in the sediments of an urbanized region of the Lake Champlain watershed, Burlington, Vermont","docAbstract":"This study documents the history of pollution inputs in the Burlington region of Lake Champlain, Vermont using measurements of anthropogenic metals (Cu, Zn, Cr, Pb, Cd, and Ag) in four age-dated sediment cores. Sediments record a history of contamination in a region and can be used to assess the changing threat to biota over time and to evaluate the effectiveness of discharge regulations on anthropogenic inputs. Grain size, magnetic susceptibility, radiometric dating and pollen stratigraphy were combined with trace metal data to provide an assessment of the history of contamination over the last 350 yr in the Burlington region of Lake Champlain. Magnetic susceptibility was initially used to identify land-use history for each site because it is a proxy indicator of soil erosion. Historical trends in metal inputs in the Burlington region from the seventeenth through the twentieth centuries are reflected in downcore variations in metal concentrations and accumulation rates. Metal concentrations increase above background values in the early to mid nineteenth century. The metal input rate to the sediments increases around 1920 and maximum concentrations and accumulation rates are observed in the late 1960s. Decreases in concentration and accumulation rate between 1970 and the present are observed, for most metals. The observed trends are primarily a function of variations in anthropogenic inputs and not variations in sediment grain size. Grain size data were used to remove texture variations from the metal profiles and results show trends in the anthropogenic metal signals remain. Radiometric dating and pollen stratigraphy provide well-constrained dates for the sediments thereby allowing the metal profiles to be interpreted in terms of land-use history.This study documents the history of pollution inputs in the Burlington region of Lake Champlain, Vermont using measurements of anthropogenic metals (Cu, Zn, Cr, Pb, Cd, and Ag) in four age-dated sediment cores. Sediments record a history of contamination in a region and can be used to assess the changing threat to biota over time and to evaluate the effectiveness of discharge regulations on anthropogenic inputs. Grain size, magnetic susceptibility, radiometric dating and pollen stratigraphy were combined with trace metal data to provide an assessment of the history of contamination over the last 350 yr in the Burlington region of Lake Champlain. Magnetic susceptibility was initially used to identify land-use history for each site because it is a proxy indicator of soil erosion. Historical trends in metal inputs in the Burlington region from the seventeenth through the twentieth centuries are reflected in downcore variations in metal concentrations and accumulation rates. Metal concentrations increase above background values in the early to mid nineteenth century. The metal input rate to the sediments increases around 1920 and maximum concentrations and accumulation rates are observed in the late 1960s. Decreases in concentration and accumulation rate between 1970 and the present are observed for most metals. The observed trends are primarily a function of variations in anthropogenic inputs and not variations in sediment grain size. Grain size data were used to remove texture variations from the metal profiles and results show trends in the anthropogenic metal signals remain. Radiometric dating and pollen stratigraphy provide well-constrained dates for the sediments thereby allowing the metal profiles to be interpreted in terms of land-use history.","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht, Netherlands","doi":"10.1023/A:1005224425075","issn":"00496979","usgsCitation":"Mecray, E., King, J., Appleby, P., and Hunt, A., 2001, Historical trace metal accumulation in the sediments of an urbanized region of the Lake Champlain watershed, Burlington, Vermont: Water, Air, & Soil Pollution, v. 125, no. 1, p. 201-230, https://doi.org/10.1023/A:1005224425075.","productDescription":"30 p.","startPage":"201","endPage":"230","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488711,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/gsofacpubs/1741","text":"External Repository"},{"id":232415,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New York, Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.51776123046875,\n              43.96514454266273\n            ],\n            [\n              -73.07830810546875,\n              43.96514454266273\n            ],\n            [\n              -73.07830810546875,\n              45.09679146394738\n            ],\n            [\n              -73.51776123046875,\n              45.09679146394738\n            ],\n            [\n              -73.51776123046875,\n              43.96514454266273\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a31a2e4b0c8380cd5e0ca","contributors":{"authors":[{"text":"Mecray, E.L.","contributorId":14840,"corporation":false,"usgs":true,"family":"Mecray","given":"E.L.","email":"","affiliations":[],"preferred":false,"id":398091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, J.W.","contributorId":19265,"corporation":false,"usgs":true,"family":"King","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":398092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Appleby, P.G.","contributorId":23254,"corporation":false,"usgs":true,"family":"Appleby","given":"P.G.","email":"","affiliations":[],"preferred":false,"id":398093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, A.S.","contributorId":72976,"corporation":false,"usgs":true,"family":"Hunt","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":398094,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70023603,"text":"70023603 - 2001 - Does clutch size evolve in response to parasites and immunocompetence?","interactions":[],"lastModifiedDate":"2012-03-12T17:20:01","indexId":"70023603","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Does clutch size evolve in response to parasites and immunocompetence?","docAbstract":"Parasites have been argued to influence clutch size evolution, but past work and theory has largely focused on within-species optimization solutions rather than clearly addressing among-species variation. The effects of parasites on clutch size variation among species can be complex, however, because different parasites can induce age-specific differences in mortality that can cause clutch size to evolve in different directions. We provide a conceptual argument that differences in immunocompetence among species should integrate differences in overall levels of parasite-induced mortality to which a species is exposed. We test this assumption and show that mortality caused by parasites is positively correlated with immunocompetence measured by cell-mediated measures. Under life history theory, clutch size should increase with increased adult mortality and decrease with increased juvenile mortality. Using immunocompetence as a general assay of parasite-induced mortality, we tested these predictions by using data for 25 species. We found that clutch size increased strongly with adult immunocompetence. In contrast, clutch size decreased weakly with increased juvenile immunocompetence. But, immunocompetence of juveniles may be constrained by selection on adults, and, when we controlled for adult immunocompetence, clutch size decreased with juvenile immunocompetence. Thus, immunocompetence seems to reflect evolutionary differences in parasite virulence experienced by species, and differences in age-specific parasite virulence appears to exert opposite selection on clutch size evolution.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences of the United States of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1073/pnas.98.4.2071","issn":"00278424","usgsCitation":"Martin, T.E., Moller, A., Merino, S., and Clobert, J., 2001, Does clutch size evolve in response to parasites and immunocompetence?: Proceedings of the National Academy of Sciences of the United States of America, v. 98, no. 4, p. 2071-2076, https://doi.org/10.1073/pnas.98.4.2071.","startPage":"2071","endPage":"2076","numberOfPages":"6","costCenters":[],"links":[{"id":478956,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/29383","text":"External Repository"},{"id":232258,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":207363,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.98.4.2071"}],"volume":"98","issue":"4","noUsgsAuthors":false,"publicationDate":"2001-02-13","publicationStatus":"PW","scienceBaseUri":"505a038ee4b0c8380cd5052e","contributors":{"authors":[{"text":"Martin, T. E.","contributorId":10911,"corporation":false,"usgs":true,"family":"Martin","given":"T.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":398182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moller, A.P.","contributorId":45867,"corporation":false,"usgs":true,"family":"Moller","given":"A.P.","email":"","affiliations":[],"preferred":false,"id":398184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merino, S. 0000-0002-2834-2243","orcid":"https://orcid.org/0000-0002-2834-2243","contributorId":26853,"corporation":false,"usgs":true,"family":"Merino","given":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":398183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clobert, J.","contributorId":57997,"corporation":false,"usgs":true,"family":"Clobert","given":"J.","affiliations":[],"preferred":false,"id":398185,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":96213,"text":"96213 - 2001 - Fire and vegetation history of the Jemez Mountains","interactions":[],"lastModifiedDate":"2018-01-17T16:22:24","indexId":"96213","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5597,"text":"New Mexico Decision-Makers Field Guide","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"1","title":"Fire and vegetation history of the Jemez Mountains","docAbstract":"Historic patterns of fire occurrence and vegetation change in the Jemez Mountains of northern New Mexico have been described in detail by using multiple lines of evidence. Data sources include old aerial and ground-based photographs, historic records, charcoal deposits from bogs, fire-scarred trees (Figure 1), tree-ring reconstructions of precipitation, and field sampling of vegetation and soils. The forests and woodlands that cloak the Southwestern uplands provide the most extensive and detailed regional-scale network of fire history data available in the world (Swetnam and Baisan 1996, Swetnam et al. 1999, Allen 2002).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Water, watersheds, and land use In New Mexico: Impacts of population growth on natural resources, Santa Fe region 2001 (New Mexico Decision-Makers Field Guide No. 1)","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"New Mexico Bureau of Mines and Mineral Resources","publisherLocation":"Socorro, NM","isbn":"9781883905087","usgsCitation":"Allen, C.D., 2001, Fire and vegetation history of the Jemez Mountains: New Mexico Decision-Makers Field Guide 1, 5 p.","productDescription":"5 p.","startPage":"29","endPage":"33","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":349958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350471,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://geoinfo.nmt.edu/publications/guides/decisionmakers/2001/"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.95465087890625,\n              35.62493079773405\n            ],\n            [\n              -106.1883544921875,\n              35.62493079773405\n            ],\n            [\n              -106.1883544921875,\n              36.23208902824811\n            ],\n            [\n              -106.95465087890625,\n              36.23208902824811\n            ],\n            [\n              -106.95465087890625,\n              35.62493079773405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fbe4b07f02db5f44ca","contributors":{"editors":[{"text":"Johnson, Peggy S.","contributorId":85689,"corporation":false,"usgs":true,"family":"Johnson","given":"Peggy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":725539,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":512549,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70182053,"text":"70182053 - 2001 - Intraspecific variation in nutrient reserve use during clutch formation by Lesser Scaup","interactions":[],"lastModifiedDate":"2017-11-27T13:03:07","indexId":"70182053","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Intraspecific variation in nutrient reserve use during clutch formation by Lesser Scaup","docAbstract":"<p><span>We studied nutrient reserve dynamics of female Lesser Scaup (</span><i>Aythya affinis</i><span>) to identify sources of intraspecific variation in strategies of nutrient acquisition for meeting the high nutritional and energetic costs of egg formation. We collected data from interior Alaska and combined these with data for Lesser Scaup from midcontinent breeding areas (</span><a class=\"ref\" onclick=\"popRef2('i0010-5422-103-4-810-Afton2','','','' ); return false;\">Afton and Ankney 1991</a><span>), allowing a rangewide analysis for the species. We found little evidence that nutrient reserve use differed between Alaskan and midcontinent Lesser Scaup, except that subarctic birds used a small amount of protein reserves when forming eggs, whereas midcontinent birds did not. Mineral reserves contributed relatively little to the clutch, but endogenous lipid accounted for approximately two-thirds of the lipid in the clutch. Levels of endogenous lipid and protein at initiation of clutch formation declined with date of initiation. Also, absolute amounts of lipid and protein reserves used declined through the season, corresponding to smaller clutch sizes. Our data are consistent with a seasonally variable threshold of lipid reserves for initiation of clutch formation and considerable reliance on lipid reserves, suggestive of lipid control of productivity via effects on clutch size and initiation dates. However, our data cannot refute the hypothesis that clutch size or initiation dates are set by other factors that in turn dictate the amount of lipid reserves that are stored and used. Despite uncertainty regarding the role of nutrient limitations on productivity, maintenance of adequate food resources on winter, migration, and breeding areas should be a management concern, given the high costs of clutch formation by Lesser Scaup, evidence of recent population declines, and potential links between nutrition and productivity.</span></p>","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/0010-5422(2001)103[0810:IVINRU]2.0.CO;2","usgsCitation":"Esler, D., Grand, J.B., and Afton, A.D., 2001, Intraspecific variation in nutrient reserve use during clutch formation by Lesser Scaup: The Condor, no. 103, https://doi.org/10.1650/0010-5422(2001)103[0810:IVINRU]2.0.CO;2.","productDescription":"11 p.","endPage":"810","numberOfPages":"820","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":478864,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/0010-5422(2001)103[0810:ivinru]2.0.co;2","text":"Publisher Index Page"},{"id":335602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","issue":"103","edition":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a57702e4b057081a24ee5f","contributors":{"authors":[{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":669404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":669405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Afton, Alan D. 0000-0002-0436-8588 aafton@usgs.gov","orcid":"https://orcid.org/0000-0002-0436-8588","contributorId":139582,"corporation":false,"usgs":false,"family":"Afton","given":"Alan","email":"aafton@usgs.gov","middleInitial":"D.","affiliations":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":669406,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":1003747,"text":"1003747 - 2001 - Disease emergence in birds: Challenges for the twenty-first century","interactions":[],"lastModifiedDate":"2020-09-01T20:19:42.744859","indexId":"1003747","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Disease emergence in birds: Challenges for the twenty-first century","docAbstract":"<p>The paper by Hartup et al. (2001) on House Finch (<i>Carpodacus mexicanus</i>) conjunctivitis is an example of the rapid geographic spread that can result from disease emergence in naïve populations. That event was neither novel nor transient relative to its occurrence or effects. Disease emergence and reemergence are hallmarks of the latter part of the twentieth century (Center for Disease Control 1994, Levins et al. 1994, DaSilva and Laccarino 1999, Gratz 1999). Current examples involving domestic animals include the problems in Europe with bovine spongiform encephalopathy (BSE, or “mad cow disease”) (Brown 2001) and foot-and-mouth disease (FMD) (Kitching 1999). Human health has been affected by diseases caused by an array of viruses (Morse 1993, Nichol et al. 1993, Murphy and Nathanson 1994), bacteria (Dennis 1998, DaSilva and Laccarino 1999), rickettsia (Walker and Dumier 1996, Azad et al. 1997), protozoans (Tuerrant 1997, Saini et al. 2000), and metazoan parasites (Hildreth et al. 1991, Gubler 1998), as well as other causes. Acquired immune deficiency syndrome (AIDS) has received the most notoriety of those diseases (Hahn et al. 2000, Schwartlander et al. 2000). A similar pattern exists on a global scale for free-ranging wildlife populations (Table 1) (Friend 1994, 1995; Epstein et al. 1998, Daszak et al. 2000). However, in comparison to disease emergence affecting humans and domestic animals, response to emerging diseases of wildlife is generally superficial. We present concepts and data to support our contention that failure to adequately address disease emergence in free-ranging wildlife is resulting in a diminished capability to achieve and sustain desired geographic distributions and population abundance for species of wild birds, including some threatened and endangered avifauna.</p><p>For clarity, we define disease and disease emergence in the context of our use of those terms because they are the focus of our comments. Disease is any departure from health (Guralnik 1982); that is, dysfunction contributing to physiological, physical, reproductive, behavioral, or other impairment that reduces the probability of survival of individuals. If enough individuals are affected, the collective effects can reduce the sustainability of the population. Although disease can result from exposure to a wide variety of physical, chemical, and biological agents and other conditions, we focus this paper on microbes and parasites and to overt mortality caused by them. Thus, disease effects presented only represent the proverbial “tip of the iceberg” relative to the challenges wild avifauna face from disease. Our perspective of disease emergence expands the earlier definitions of emerging diseases by others (Centers for Disease Control and Prevention 1994, Morse 1995) to include all species. Our comments are defined by the context of disease occurrences that have increased within the past three decades, or threaten to increase in the near future relative to populations affected, geographic distribution, or magnitude of effects.</p>","language":"English","publisher":"American Ornithological Society","doi":"10.1093/auk/118.2.290","usgsCitation":"Friend, M., McLean, R.G., and Dein, F., 2001, Disease emergence in birds: Challenges for the twenty-first century: The Auk, v. 118, no. 2, p. 290-303, https://doi.org/10.1093/auk/118.2.290.","productDescription":"14 p.","startPage":"290","endPage":"303","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":550,"text":"Salton Sea Science Office","active":true,"usgs":true}],"links":[{"id":492036,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/auk/118.2.290","text":"Publisher Index Page"},{"id":134208,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a50e","contributors":{"authors":[{"text":"Friend, Milton 0000-0002-2882-3629","orcid":"https://orcid.org/0000-0002-2882-3629","contributorId":31332,"corporation":false,"usgs":true,"family":"Friend","given":"Milton","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":314175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLean, R. G.","contributorId":24722,"corporation":false,"usgs":true,"family":"McLean","given":"R.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":314174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dein, F. J.","contributorId":97030,"corporation":false,"usgs":true,"family":"Dein","given":"F. J.","affiliations":[],"preferred":false,"id":314176,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184294,"text":"70184294 - 2001 - Estimation of brood and nest survival: Comparative methods in the presence of heterogeneity","interactions":[],"lastModifiedDate":"2017-03-06T18:08:12","indexId":"70184294","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of brood and nest survival: Comparative methods in the presence of heterogeneity","docAbstract":"<p><span>The Mayfield method has been widely used for estimating survival of nests and young animals, especially when data are collected at irregular observation intervals. However, this method assumes survival is constant throughout the study period, which often ignores biologically relevant variation and may lead to biased survival estimates. We examined the bias and accuracy of 1 modification to the Mayfield method that allows for temporal variation in survival, and we developed and similarly tested 2 additional methods. One of these 2 new methods is simply an iterative extension of Klett and Johnson's method, which we refer to as the Iterative Mayfield method and bears similarity to Kaplan-Meier methods. The other method uses maximum likelihood techniques for estimation and is best applied to survival of animals in groups or families, rather than as independent individuals. We also examined how robust these estimators are to heterogeneity in the data, which can arise from such sources as dependent survival probabilities among siblings, inherent differences among families, and adoption. Testing of estimator performance with respect to bias, accuracy, and heterogeneity was done using simulations that mimicked a study of survival of emperor goose (<i>Chen canagica</i>) goslings. Assuming constant survival for inappropriately long periods of time or use of Klett and Johnson's methods resulted in large bias or poor accuracy (often &gt;5% bias or root mean square error) compared to our Iterative Mayfield or maximum likelihood methods. Overall, estimator performance was slightly better with our Iterative Mayfield than our maximum likelihood method, but the maximum likelihood method provides a more rigorous framework for testing covariates and explicity models a heterogeneity factor. We demonstrated use of all estimators with data from emperor goose goslings. We advocate that future studies use the new methods outlined here rather than the traditional Mayfield method or its previous modifications.</span></p>","language":"English","publisher":"Wiley","doi":"10.2307/3802905","usgsCitation":"Manly, B.F., and Schmutz, J.A., 2001, Estimation of brood and nest survival: Comparative methods in the presence of heterogeneity: Journal of Wildlife Management, v. 65, no. 2, p. 258-270, https://doi.org/10.2307/3802905.","productDescription":"13 p.","startPage":"258","endPage":"270","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":486901,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2307/3802905","text":"Publisher Index Page"},{"id":336914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58be833ee4b014cc3a3a9a05","contributors":{"authors":[{"text":"Manly, Bryan F.J.","contributorId":41770,"corporation":false,"usgs":true,"family":"Manly","given":"Bryan","email":"","middleInitial":"F.J.","affiliations":[],"preferred":false,"id":680887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":680888,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70023704,"text":"70023704 - 2001 - Coastal change analysis program implemented in Louisiana","interactions":[],"lastModifiedDate":"2019-10-08T18:27:20","indexId":"70023704","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Coastal change analysis program implemented in Louisiana","docAbstract":"Landsat Thematic Mapper images from 1990 to 1996 and collateral data sources were used to classify the land cover of the Mermentau River Basin (MRB) within the Chenier Plain of coastal Louisiana. Landcover classes followed the definition of the National Oceanic and Atmospheric Administration's Coastal Change Analysis Program; however, classification methods had to be developed as part of this study for attainment of these national classification standards. Classification method developments were especially important when classes were spectrally inseparable, when classes were part of spatial and spectral continuums, when the spatial resolution of the sensor included more than one landcover type, and when human activities caused abnormal transitions in the landscape. Most classification problems were overcome by using one or a combination of techniques, such as separating the MRB into subregions of commonality, applying masks to specific land mixtures, and highlighting class transitions between years that were highly unlikely. Overall, 1990, 1993, and 1996 classification accuracy percentages (associated kappa statistics) were 80% (0.79), 78% (0.76), and 86% (0.84), respectively. Most classification errors were associated with confusion between managed (cultivated land) and unmanaged grassland classes; scrub shrub, grasslands and forest classes; water, unconsolidated shore and bare land classes; and especially in 1993, between water and floating vegetation classes. Combining cultivated land and grassland classes and water and floating vegetation classes into single classes accuracies for 1990, 1993, and 1996 increased to 82%, 83%, and 90%, respectively. To improve the interpretation of landcover change, three indicators of landcover class stability were formulated. Location stability was defined as the percentage of a landcover class that remained as the same class in the same location at the beginning and the end of the monitoring period. Residence stability was defined as the percent change in each class within the entire MRB during the monitoring period. Turnover was defined as the addition of other landcover classes to the target landcover class during the defined monitoring period. These indicators allowed quick assessment of the dynamic nature of landcover classes, both in reference to a spatial location and to retaining their presence throughout the MRB. Examining the landcover changes between 1990 to 1993 and 1993 to 1996, led us to five principal findings: (1) Landcover turnover is maintaining a near stable logging cycle, although the locations of grassland, scrub shrub, and forest areas involved in the cycle appeared to change. (2) Planting of seedlings is critical to maintaining cycle stability. (3) Logging activities tend to replace woody land mixed forests with woody land evergreen forests. (4) Wetland estuarine marshes are expanding slightly. (5) Wetland palustrine marshes and mature forested wetlands in the MRB are relatively stable.","language":"English","publisher":"Coastal Education and Research Foundation","issn":"07490208","usgsCitation":"Ramsey, E., Nelson, G., and Sapkota, S., 2001, Coastal change analysis program implemented in Louisiana: Journal of Coastal Research, v. 17, no. 1, p. 53-71.","productDescription":"19 p.","startPage":"53","endPage":"71","numberOfPages":"19","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":232543,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368137,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/4300149"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mermentau River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.328857421875,\n              29.513720234908057\n            ],\n            [\n              -92.01599121093749,\n              29.513720234908057\n            ],\n            [\n              -92.01599121093749,\n              31.067050772707812\n            ],\n            [\n              -93.328857421875,\n              31.067050772707812\n            ],\n            [\n              -93.328857421875,\n              29.513720234908057\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f77ce4b0c8380cd4cb3b","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":398502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, G.A.","contributorId":17687,"corporation":false,"usgs":true,"family":"Nelson","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":398500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sapkota, S.K.","contributorId":24434,"corporation":false,"usgs":true,"family":"Sapkota","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":398501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70142647,"text":"70142647 - 2001 - Cloud characterization and clear-sky correction from Landsat-7","interactions":[],"lastModifiedDate":"2017-01-18T14:08:31","indexId":"70142647","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Cloud characterization and clear-sky correction from Landsat-7","docAbstract":"<p><span>Landsat, with its wide swath and high resolution, fills an important mesoscale gap between atmospheric variations seen on a few kilometer scale by local surface instrumentation and the global view of coarser resolution satellites such as MODIS. In this important scale range, Landsat reveals radiative effects on the few hundred-meter scale of common photon mean-free-paths, typical of scattering in clouds at conservative (visible) wavelengths, and even shorter mean-free-paths of absorptive (near-infrared) wavelengths. Landsat also reveals shadowing effects caused by both cloud and vegetation that impact both cloudy and clear-sky radiances. As a result, Landsat has been useful in development of new cloud retrieval methods and new aerosol and surface retrievals that account for photon diffusion and shadowing effects. This paper discusses two new cloud retrieval methods: the nonlocal independent pixel approximation (NIPA) and the normalized difference nadir radiance method (NDNR). We illustrate the improvements in cloud property retrieval enabled by the new low gain settings of Landsat-7 and difficulties found at high gains. Then, we review the recently developed &ldquo;path radiance&rdquo; method of aerosol retrieval and clear-sky correction using data from the Department of Energy Atmospheric Radiation Measurement (ARM) site in Oklahoma. Nearby clouds change the solar radiation incident on the surface and atmosphere due to indirect illumination from cloud sides. As a result, if clouds are nearby, this extra side-illumination causes clear pixels to appear brighter, which can be mistaken for extra aerosol or higher surface albedo. Thus, cloud properties must be known in order to derive accurate aerosol and surface properties. A three-dimensional (3D) Monte Carlo (MC) radiative transfer simulation illustrates this point and suggests a method to subtract the cloud effect from aerosol and surface retrievals. The main conclusion is that cloud, aerosol, and surface retrievals are linked and must be treated as a combined system. Landsat provides the range of scales necessary to observe the 3D cloud radiative effects that influence joint surface-atmospheric retrievals.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/S0034-4257(01)00251-6","usgsCitation":"Cahalan, R.F., Oreopoulos, L., Wen, G., Marshak, S., Tsay, S.#., and DeFelice, T., 2001, Cloud characterization and clear-sky correction from Landsat-7: Remote Sensing of Environment, v. 78, no. 1-2, p. 83-98, https://doi.org/10.1016/S0034-4257(01)00251-6.","productDescription":"16 p.","startPage":"83","endPage":"98","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54fec42ce4b02419550debae","contributors":{"authors":[{"text":"Cahalan, Robert F.","contributorId":139616,"corporation":false,"usgs":false,"family":"Cahalan","given":"Robert","email":"","middleInitial":"F.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oreopoulos, L.","contributorId":139617,"corporation":false,"usgs":false,"family":"Oreopoulos","given":"L.","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wen, G.","contributorId":139618,"corporation":false,"usgs":false,"family":"Wen","given":"G.","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marshak, S.","contributorId":34657,"corporation":false,"usgs":false,"family":"Marshak","given":"S.","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tsay, S. #NAME?","contributorId":139619,"corporation":false,"usgs":false,"family":"Tsay","given":"S.","email":"","middleInitial":"#NAME?","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeFelice, Tom","contributorId":9829,"corporation":false,"usgs":true,"family":"DeFelice","given":"Tom","email":"","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":542090,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70162305,"text":"70162305 - 2001 - Morphometrics, sexual dimorphism, and growth in the Angonoka tortoise (<i>Geochelone yniphora</i>) of western Madagascar","interactions":[],"lastModifiedDate":"2016-01-21T10:27:31","indexId":"70162305","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":671,"text":"African Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Morphometrics, sexual dimorphism, and growth in the Angonoka tortoise (<i>Geochelone yniphora</i>) of western Madagascar","docAbstract":"<p><span>The most recent description of the morphology of the rare endemic Madagascar tortoise,</span><i>Geochelone yniphora</i><span>&nbsp;was based on fewer than 20 specimens. We collected morphological data for 200 free‐ranging tortoises from five populations over a four‐year period. Tortoises ranged in size from 43.5 mm carapace length at hatching to a maximum of 481 mm in an adult male. We were able to develop a logistic regression model to predict the sex of adult tortoises in one of the five populations using principal component analysis; the model correctly predicted the sex of 25 of 26 adult tortoises. Growth of 40 tortoises was monitored and as in other chelonians, the annual relative growth rate decreased with age. The relative growth rate in adults was approximately 5% per year as compared to approximately 16% in juveniles. Juvenile tortoises accrued one scute growth layer per year.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/21564574.2001.9635446","usgsCitation":"Smith, L.L., Pedrono, M., Dorazio, R.M., and Bishko, J., 2001, Morphometrics, sexual dimorphism, and growth in the Angonoka tortoise (<i>Geochelone yniphora</i>) of western Madagascar: African Journal of Herpetology, v. 50, no. 1, p. 9-18, https://doi.org/10.1080/21564574.2001.9635446.","productDescription":"10 p.","startPage":"9","endPage":"18","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":314575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a20f4be4b0961cf2811c02","contributors":{"authors":[{"text":"Smith, Lora L.","contributorId":53684,"corporation":false,"usgs":true,"family":"Smith","given":"Lora","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":589172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pedrono, Miguel","contributorId":152391,"corporation":false,"usgs":false,"family":"Pedrono","given":"Miguel","email":"","affiliations":[],"preferred":false,"id":589173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":589174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bishko, Jack","contributorId":152396,"corporation":false,"usgs":false,"family":"Bishko","given":"Jack","email":"","affiliations":[],"preferred":false,"id":589175,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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