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,{"id":71066,"text":"sir20055059 - 2006 - Methods Used to Assess the Susceptibility to Contamination of Transient, Non-Community Public Ground-Water Supplies in Indiana","interactions":[],"lastModifiedDate":"2016-05-09T11:09:16","indexId":"sir20055059","displayToPublicDate":"2005-08-23T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5059","title":"Methods Used to Assess the Susceptibility to Contamination of Transient, Non-Community Public Ground-Water Supplies in Indiana","docAbstract":"<p>The Safe Water Drinking Act of 1974 as amended in 1996 gave each State the responsibility of developing a Source-Water Assessment Plan (SWAP) that is designed to protect public-water supplies from contamination. Each SWAP must include three elements: (1) a delineation of the source-water protection area, (2) an inventory of potential sources of contaminants within the area, and (3) a determination of the susceptibility of the public-water supply to contamination from the inventoried sources. The Indiana Department of Environmental Management (IDEM) was responsible for preparing a SWAP for all public-water supplies in Indiana, including about 2,400 small public ground-water supplies that are designated transient, non-community (TNC) supplies. In cooperation with IDEM, the U.S. Geological Survey compiled information on conditions near the TNC supplies and helped IDEM complete source-water assessments for each TNC supply. The delineation of a source-water protection area (called the assessment area) for each TNC ground-water supply was defined by IDEM as a circular area enclosed by a 300-foot radius centered at the TNC supply well. Contaminants of concern (COCs) were defined by IDEM as any of the 90 contaminants for which the U.S. Environmental Protection Agency has established primary drinking-water standards. Two of these, nitrate as nitrogen and total coliform bacteria, are Indiana State-regulated contaminants for TNC water supplies. IDEM representatives identified potential point and nonpoint sources of COCs within the assessment area, and computer database retrievals were used to identify potential point sources of COCs in the area outside the assessment area. Two types of methods-subjective and subjective hybrid-were used in the SWAP to determine susceptibility to contamination. Subjective methods involve decisions based upon professional judgment, prior experience, and (or) the application of a fundamental understanding of processes without the collection and analysis of data for a specific condition. Subjective hybrid methods combine subjective methods with quantitative hydrologic analyses. The subjective methods included an inventory of potential sources and associated contaminants, and a qualitative description of the inherent susceptibility of the area around the TNC supply. The description relies on a classification of the hydrogeologic and geomorphic characteristics of the general area around the TNC supply in terms of its surficial geology, regional aquifer system, the occurrence of fine- and coarse-grained geologic materials above the screen of the TNC well, and the potential for infiltration of contaminants. The subjective hybrid method combined the results of a logistic regression analysis with a subjective analysis of susceptibility and a subjective set of definitions that classify the thickness of fine-grained geologic materials above the screen of a TNC well in terms of impedance to vertical flow. The logistic regression determined the probability of elevated concentrations of nitrate as nitrogen (greater than or equal to 3 milligrams per liter) in ground water associated with specific thicknesses of fine-grained geologic materials above the screen of a TNC well. In this report, fine-grained geologic materials are referred to as a geologic barrier that generally impedes vertical flow through an aquifer. A geologic barrier was defined to be thin for fine-grained materials between 0 and 45 feet thick, moderate for materials between 45 and 75 feet thick, and thick if the fine-grained materials were greater than 75 feet thick. A flow chart was used to determine the susceptibility rating for each TNC supply. The flow chart indicated a susceptibility rating using (1) concentrations of nitrate as nitrogen and total coliform bacteria reported from routine compliance monitoring of the TNC supply, (2) the presence or absence of potential sources of regulated contaminants (nitrate as nitrogen and coliform bac</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055059","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management","usgsCitation":"Arihood, L.D., and Cohen, D.A., 2006, Methods Used to Assess the Susceptibility to Contamination of Transient, Non-Community Public Ground-Water Supplies in Indiana: U.S. Geological Survey Scientific Investigations Report 2005-5059, vi, 40 p., https://doi.org/10.3133/sir20055059.","productDescription":"vi, 40 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,{"id":70205401,"text":"70205401 - 2006 - Evidence for intensification of the global water cycle: Review and synthesis","interactions":[],"lastModifiedDate":"2019-09-17T11:30:55","indexId":"70205401","displayToPublicDate":"2005-08-22T11:27:32","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for intensification of the global water cycle: Review and synthesis","docAbstract":"<p><span>One of the more important questions in&nbsp;hydrology&nbsp;is: if the climate warms in the future, will there be an&nbsp;intensification&nbsp;of the water cycle and, if so, the nature of that intensification? There is considerable interest in this question because an intensification of the water cycle may lead to changes in water-resource availability, an increase in the frequency and intensity of&nbsp;tropical storms, floods, and&nbsp;droughts, and an amplification of warming through the&nbsp;water vapor&nbsp;feedback. Empirical evidence for ongoing intensification of the water cycle would provide additional support for the theoretical framework that links intensification with warming. This paper briefly reviews the current state of science regarding historical trends in hydrologic variables, including precipitation,&nbsp;runoff, tropospheric water vapor, soil moisture,&nbsp;</span>glacier<span>&nbsp;mass balance, evaporation,&nbsp;evapotranspiration, and growing season length. Data are often incomplete in spatial and temporal domains and regional analyses are variable and sometimes contradictory; however, the&nbsp;weight of evidence&nbsp;indicates an ongoing intensification of the water cycle. In contrast to these trends, the empirical evidence to date does not consistently support an increase in the frequency or intensity of tropical storms and floods.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2005.07.003","usgsCitation":"Huntington, T.G., 2006, Evidence for intensification of the global water cycle: Review and synthesis: Journal of Hydrology, v. 319, no. 1-4, p. 83-95, https://doi.org/10.1016/j.jhydrol.2005.07.003.","productDescription":"13 p.","startPage":"83","endPage":"95","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":367479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"319","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771056,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70440,"text":"sir20045143 - 2006 - Evaluation of metal loading to streams near Creede, Colorado, August and September 2000","interactions":[],"lastModifiedDate":"2020-01-26T11:13:33","indexId":"sir20045143","displayToPublicDate":"2005-04-22T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-5143","title":"Evaluation of metal loading to streams near Creede, Colorado, August and September 2000","docAbstract":"Decisions about remediation of mine drainage on the watershed scale require an understanding of metal contributions from all sources to be able to choose the best sites for remediation. A hydrologic framework to study metal loading in the Willow Creek watershed, a tributary to the Rio Grande River, was established by conducting a series of tracer-injection studies. Each study used the tracer-dilution method in conjunction with synoptic sampling to determine the spatial distribution of discharge and concentration. Discharge and concentration data were then used to develop mass-loading curves for the metals of interest. The discharge and load profiles (1) identify the principal sources of load to the streams; (2) demonstrate the scale of unsampled, dispersed subsurface inflows; and (3) estimate the amount of natural attenuation. The greatest source of metal loads was from the Nelson Tunnel on West Willow Creek, which contributed 158 kilograms per day of zinc to the stream. Additional loading from other dispersed, subsurface inflows along West Willow Creek added substantial loads, but these were small in comparison to the loads from the Nelson Tunnel. No significant contributions of metal load from potential sources occurred along East Willow Creek. The lack of measurable loading may be a result of previous remedial actions along that stream. The lower Willow Creek section had relatively small contributions of load compared to what had been contributed upstream. This watershed approach provides a detailed snapshot of metal load for the watershed to support remediation decisions and quantifies processes that affect metal transport.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Salt Lake City, UT","doi":"10.3133/sir20045143","collaboration":"Prepared in cooperation with the City of Creede, Colorado and the U.S. Forest Service","usgsCitation":"Kimball, B.A., Runkel, R., Walton-Day, K., and Stover, B., 2006, Evaluation of metal loading to streams near Creede, Colorado, August and September 2000 (Online only): U.S. Geological Survey Scientific Investigations Report 2004-5143, viii, 64 p., https://doi.org/10.3133/sir20045143.","productDescription":"viii, 64 p.","numberOfPages":"75","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2000-08-01","temporalEnd":"2000-09-30","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":185498,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":334251,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2004/5143/PDF/SIR2004_5143.pdf"},{"id":6989,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5143/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","city":"Creede","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.95,37.81666666666667 ], [ -106.95,37.916666666666664 ], [ -106.9,37.916666666666664 ], [ -106.9,37.81666666666667 ], [ -106.95,37.81666666666667 ] ] ] } } ] }","edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fafd5","contributors":{"authors":[{"text":"Kimball, B. A.","contributorId":87583,"corporation":false,"usgs":false,"family":"Kimball","given":"B.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":282437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, R.L.","contributorId":97529,"corporation":false,"usgs":true,"family":"Runkel","given":"R.L.","affiliations":[],"preferred":false,"id":282438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, K.","contributorId":14054,"corporation":false,"usgs":true,"family":"Walton-Day","given":"K.","affiliations":[],"preferred":false,"id":282435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stover, B.K.","contributorId":67975,"corporation":false,"usgs":true,"family":"Stover","given":"B.K.","email":"","affiliations":[],"preferred":false,"id":282436,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":74213,"text":"fs20053135 - 2005 - The U.S. Geological Survey Hydrologic Benchmark Network","interactions":[],"lastModifiedDate":"2021-04-28T12:18:57.548163","indexId":"fs20053135","displayToPublicDate":"2021-04-27T14:30:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3135","title":"The U.S. Geological Survey Hydrologic Benchmark Network","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20053135","usgsCitation":"Murdoch, P.S., McHale, M.R., Mast, M.A., and Clow, D.W., 2005, The U.S. Geological Survey Hydrologic Benchmark Network: U.S. Geological Survey Fact Sheet 2005-3135, 5 p., https://doi.org/10.3133/fs20053135.","productDescription":"5 p.","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":120999,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2005/3135/report-thumb.jpg"},{"id":91188,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2005/3135/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abce4b07f02db6732df","contributors":{"authors":[{"text":"Murdoch, Peter S. 0000-0001-9243-505X pmurdoch@usgs.gov","orcid":"https://orcid.org/0000-0001-9243-505X","contributorId":2453,"corporation":false,"usgs":true,"family":"Murdoch","given":"Peter","email":"pmurdoch@usgs.gov","middleInitial":"S.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":286575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHale, Michael R. 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":1735,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286573,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174608,"text":"70174608 - 2005 - Preliminary results from a shallow water benthic grazing study","interactions":[],"lastModifiedDate":"2020-04-10T13:30:52.692041","indexId":"70174608","displayToPublicDate":"2016-01-06T03:30:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3914,"text":"Interagency Ecological Program Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Preliminary results from a shallow water benthic grazing study","docAbstract":"<p>The nutrient-rich, shallow waters of San Francisco Bay support high rates of primary production, limited not by nutrients but by light availability and benthic grazing (Alpine and others 1992; Cloern 1982). Phytoplankton blooms are an important food source for upper trophic levels. Consequently animal populations, such as fish, may suffer under conditions of high benthic bivalve grazing. It has been hypothesized that several species of fish are suffering as a result of severe decreases in available phytoplankton since the introduction of Potamocorbula amurensis into San Francisco Bay (Feyrer 2003).</p>\n<p>The extent of reduction in phytoplankton biomass by benthic bivalves is dependent on both physical and biological factors in addition to their spatial and temporal variability. Physical factors identified as important include: (1) vertical mixing rates, which are a function of wind velocity, currents, and bottom roughness; (2) suspended sediment concentrations; and (3) phytoplankton settling rates. The biological factors controlling the extent of phytoplankton grazing include animal density and organism size, pumping rate, food type and concentration, metabolic demands, assimilation efficiency, and behaviour (Wildish and Kristmanson 1997).</p>\n<p>Several laboratory studies involving model and live clams have shown that benthic grazers can deplete phytoplankton in the water column (for example, Cole and others 1992). Initially, these studies assumed that the water&nbsp;column remained well mixed above benthic suspension feeders; therefore, parameters measured in the bulk water column were believed to be representative of available particle concentration. For this reason many relationships describing the influence of the bulk flow and bulk seston concentration on benthic grazers physiological processes exist (for example, Levinton 1991).&nbsp;</p>\n<p>Laboratory measurements using live animals have shown that filtration rates vary with free stream velocity (for example, Levinton 1991). Increases in current speed lead to an increase in filtration rate; however, several studies have shown that filtration may cease at some critical current speed. It has been suggested that resuspension, occurring as a result of high current speeds, may be a factor that negatively affects uptake (Cloern 1987; Levinton 1991). Several mechanisms have been invoked to explain the effects of low speed on growth rates of active suspension feeders. These mechanisms include the formation of a concentration boundary layer and the limiting horizontal flux of seston. It is now accepted that a combination of these factors dictates the growth success of benthic grazers in a particular area.</p>\n<p>Several field studies have shown that concentration boundary layers can form over benthic ecosystems (for example, Frechette and others 1989, Dolmer 2000); however, many of these studies have failed to measure the hydrodynamics needed to calculate benthic grazing rates. Furthermore, calculating benthic grazing rates with vertical measurements at a single point is problematic due to lack of knowledge of the horizontal gradients in seston (Thompson and others, forthcoming).</p>\n<p>Despite great improvements in our knowledge on the effects of benthic grazers on seston concentrations in water columns, the effects of different hydrodynamic conditions on grazing rates has not been formulated. This makes it difficult to assess the system-wide effect of the benthic ecosystem on phytoplankton concentrations. Furthermore, it affects our ability to predict the potential success of a benthic species, such as the invasive clams Corbicula fluminea and Potamocorbula amurensis. This paper presents the preliminary results of a control volume approach to elucidate the effect of different hydrodynamic conditions on the grazing rates of Corbicula fluminea.</p>","language":"English","publisher":"Interagency Ecological Program for the San Francisco Estuary","publisherLocation":"","collaboration":"","usgsCitation":"Jones, N., Monismith, S., and Thompson, J.K., 2005, Preliminary results from a shallow water benthic grazing study: Interagency Ecological Program Newsletter, v. 18, no. 1, p. 7-13.","productDescription":"7 p.","startPage":"7","endPage":"13","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":325216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Francisco","city":"San Francisco","otherGeospatial":"San Francisco Bay area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.03314208984374,\n              37.14499280340638\n            ],\n            [\n              -123.03314208984374,\n              38.30933576918588\n            ],\n            [\n              -121.2506103515625,\n              38.30933576918588\n            ],\n            [\n              -121.2506103515625,\n              37.14499280340638\n            ],\n            [\n              -123.03314208984374,\n              37.14499280340638\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57876631e4b0d27deb36e1a6","contributors":{"authors":[{"text":"Jones, N.L.","contributorId":19397,"corporation":false,"usgs":true,"family":"Jones","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":642419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monismith, Stephen G.","contributorId":57228,"corporation":false,"usgs":true,"family":"Monismith","given":"Stephen G.","affiliations":[],"preferred":false,"id":642420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":642421,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004363,"text":"70004363 - 2005 - Late Quaternary history of the Atacama Desert","interactions":[],"lastModifiedDate":"2015-09-10T10:17:59","indexId":"70004363","displayToPublicDate":"2015-09-02T01:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Late Quaternary history of the Atacama Desert","docAbstract":"<p>Of the major subtropical deserts found in the Southern Hemisphere, the Atacama Desert is the driest. Throughout the Quaternary, the most pervasive climatic influence on the desert has been millennial-scale changes in the frequency and seasonality of the scant rainfall, and associated shifts in plant and animal distributions with elevation along the eastern margin of the desert. Over the past six years, we have mapped modern vegetation gradients and developed a number of palaeoenvironmental records, including vegetation histories from fossil rodent middens, groundwater levels from wetland (spring) deposits, and lake levels from shoreline evidence, along a 1200-kilometre transect (16&ndash;26&deg;S) in the Atacama Desert. A strength of this palaeoclimate transect has been the ability to apply the same methodologies across broad elevational, latitudinal, climatic, vegetation and hydrological gradients. We are using this transect to reconstruct the histories of key components of the South American tropical (summer) and extratropical (winter) rainfall belts, precisely at those elevations where average annual rainfall wanes to zero. The focus has been on the transition from sparse, shrubby vegetation (known as the prepuna) into absolute desert, an expansive hyperarid terrain that extends from just above the coastal fog zone (approximately 800 metres) to more than 3500 metres in the most arid sectors in the southern Atacama.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"23&#176 S: Archaeology and Environmental History of the Southern Deserts","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"National Museum of Australia Press","isbn":"1876944307","usgsCitation":"Latorre, C., Betancourt, J.L., Rech, J.A., Quade, J., Holmgren, C., Placzek, C., Maldonado, A., Vuille, M., and Rylander, K., 2005, Late Quaternary history of the Atacama Desert, chap. 6 <i>of</i> 23&#176 S: Archaeology and Environmental History of the Southern Deserts, p. 73-90.","productDescription":"18 p.","startPage":"73","endPage":"90","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028825","costCenters":[],"links":[{"id":307995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argetina, Bolivia, Chile, Peru","otherGeospatial":"Atacama Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.1572265625,\n              -13.111580118251648\n            ],\n            [\n              -76.201171875,\n              -14.3069694978258\n            ],\n            [\n              -74.92675781249999,\n              -15.876809064146757\n            ],\n            [\n              -73.564453125,\n              -16.63619187839765\n            ],\n            [\n              -71.103515625,\n              -18.22935133838667\n            ],\n            [\n              -70.7958984375,\n              -20.509354588714576\n            ],\n            [\n              -70.7958984375,\n              -22.024545601240327\n            ],\n            [\n              -70.9716796875,\n              -24.206889622398023\n            ],\n            [\n              -71.2353515625,\n              -26.15543796871355\n            ],\n            [\n              -70.1806640625,\n              -26.03704188651583\n            ],\n            [\n              -69.08203125,\n              -25.720735134412095\n            ],\n            [\n              -68.2470703125,\n              -24.647017162630352\n            ],\n            [\n              -67.7197265625,\n              -23.40276490540795\n            ],\n            [\n              -70.927734375,\n              -16.46769474828897\n            ],\n            [\n              -74.1796875,\n              -14.136575651477932\n            ],\n            [\n              -76.1572265625,\n              -13.111580118251648\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f15830e4b0dacf699eb969","contributors":{"editors":[{"text":"Smith, Mike","contributorId":147460,"corporation":false,"usgs":false,"family":"Smith","given":"Mike","email":"","affiliations":[],"preferred":false,"id":571797,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hesse, Paul","contributorId":147461,"corporation":false,"usgs":false,"family":"Hesse","given":"Paul","email":"","affiliations":[],"preferred":false,"id":571798,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Latorre, Claudio","contributorId":94019,"corporation":false,"usgs":true,"family":"Latorre","given":"Claudio","affiliations":[],"preferred":false,"id":571788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - 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,{"id":70160047,"text":"70160047 - 2005 - Assessing climate change effects on mountain ecosystems using integrated models: A case study","interactions":[],"lastModifiedDate":"2015-12-09T14:58:26","indexId":"70160047","displayToPublicDate":"2015-07-12T08:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Assessing climate change effects on mountain ecosystems using integrated models: A case study","docAbstract":"<p>Mountain systems are characterized by strong environmental gradients, rugged topography and extreme spatial heterogeneity in ecosystem structure and composition. Consequently, most mountainous areas have relatively high rates of endemism and biodiversity, and function as species refugia in many areas of the world. Mountains have long been recognized as critical entities in regional climatic and hydrological dynamics but their importance as terrestrial carbon stores has only been recently underscored (Schimel et al. 2002; this volume). Mountain ecosystems, therefore, are globally important as well as unusually complex. These ecosystems challenge our ability to understand their dynamics and predict their response to climatic variability and global-scale environmental change.</p>\n<p><span>To meet this challenge, mountain scientists increasingly are modeling the vast array of relationships that comprise ecosystem dynamics. Dynamic modeling can examine the interactions between land management strategies and climatic change to develop appropriate responses to future human demands on mountain systems. Modeling provides spatially and temporally explicit, quantified results that can be&nbsp;validated in the field, thus providing feedback to our understanding of ecosystem dynamics. Modeling results, particularly maps and other visual tools, also give a concrete dimension to our understanding of the scale and magnitude of potential future changes. Modeling alerts scientists and land managers to apparently counter-intuitive outcomes of ecosystem responses to climate change or management decisions. For instance, in an early modeling exercise for northwest Montana, USA, Running and Nemani (1991) found that streamflow in a warmer future climate decreased by 30% in the Swan Range even when precipitation was increased by 10% in a particular climate change scenario. This unexpected response was due to enhanced forest growth, and increased evapotranspiration, resulting from the earlier snowmelt and extended growing season. There is a rich legacy of models that address climate and weather, hydrology, forest growth&nbsp;</span>(e.g. gap dynamics and succession), forest fires (e.g. fuel loading) and land cover change (cf. Bugmann et al., this volume). Much less common, however, are attempts to fully integrate models from various disciplines to create a robust system that adequately addresses the entire range of ecosystem dynamics. In addition, fine-resolution modeling of entire mountain ranges (i.e. regional ecosystem scale) is not as common as global or continental scale modeling or watershed/catchment scale modeling. However, this is the scale that is germane to policy decisions such as in the western US and Canada, i.e. in those areas that contain most of the mountainous terrain of North America. This paper describes our efforts to implement an integrated regional modeling approach while characterizing potential future responses of a mountain ecosystem to climate change. Our study area was Glacier National Park in northwestern Montana, USA. Glacier Park is a 4082 km&rdquo; mountain wilderness that straddles the continental divide and contains over 150 summits of up to 3150 m elevation in the Lewis and Livingston mountain ranges.</p>\n<p>&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Global change and mountain regions: An overview of current knowledge","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","usgsCitation":"Fagre, D.B., Running, S.W., Keane, R.E., and Peterson, D.L., 2005, Assessing climate change effects on mountain ecosystems using integrated models: A case study, chap. <i>of</i> Global change and mountain regions: An overview of current knowledge, p. 489-500.","productDescription":"12 p.","startPage":"489","endPage":"500","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":312087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312086,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.springer.com/us/book/9781402035067"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56695ec2e4b08895842a1c71","contributors":{"authors":[{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":581710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Running, Steven W. 0000-0001-6906-3841","orcid":"https://orcid.org/0000-0001-6906-3841","contributorId":53258,"corporation":false,"usgs":false,"family":"Running","given":"Steven","email":"","middleInitial":"W.","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":581711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keane, Robert E.","contributorId":73930,"corporation":false,"usgs":true,"family":"Keane","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":581712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, David L.","contributorId":94643,"corporation":false,"usgs":false,"family":"Peterson","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":581713,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70006449,"text":"70006449 - 2005 - An evaluation of effects of groundwater exchange on nearshore habitats and water quality of western Lake Erie","interactions":[],"lastModifiedDate":"2018-11-05T09:50:41","indexId":"70006449","displayToPublicDate":"2012-06-19T09:44:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of effects of groundwater exchange on nearshore habitats and water quality of western Lake Erie","docAbstract":"<p>Historically, the high potentiometric surface of groundwater in the Silurian/Devonian carbonate aquifer in Monroe County, MI resulted in discharge of highly mineralized, SO<sub>4</sub>-rich groundwater to the Lake Erie shoreline near both Erie State Game Area (ESGA) and Pointe Mouillee State Game Area (PMSGA). Recently, regional groundwater levels near PMSGA have been drawn down as much as 45 m below lake level in apparent response to quarry dewatering. From August to November of 2003, we conducted preliminary studies of groundwater flow dynamics and chemistry, shallow lake water chemistry, and fish and invertebrate communities at both sites. Consistent with regional observations, groundwater flow direction in the nearshore at ESGA was upward, or toward Lake Erie, and shallow nearshore groundwater chemistry was influenced by regional groundwater chemistry. In contrast, at PMSGA, the groundwater flow potential was downward and lake water, influenced by quarry discharge seeping downward into nearshore sediments, produced a different lake and shallow groundwater chemistry than at ESGA. Although the invertebrate and young fish community was similar at the two sites, taxonomic groups tolerant of degraded water quality were more prevalent at PMSGA. Sensitive taxa were more prevalent at ESGA. We propose a conceptual model, based on well-described models of groundwater/seawater interaction along coastal margins, to describe the interconnection among geologic, hydrologic, chemical, and biological processes in the different nearshore habitats of Lake Erie, and we identify processes that warrant further detailed study in the Great Lakes.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/S0380-1330(05)70289-6","usgsCitation":"Haack, S.K., Neff, B., Rosenberry, D.O., Savino, J.F., and Lundstrom, S.C., 2005, An evaluation of effects of groundwater exchange on nearshore habitats and water quality of western Lake Erie: Journal of Great Lakes Research, v. 31, p. 45-63, https://doi.org/10.1016/S0380-1330(05)70289-6.","productDescription":"19 p.","startPage":"45","endPage":"63","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":257989,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","volume":"31","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ea4ae4b0c8380cd48769","contributors":{"authors":[{"text":"Haack, Sheridan K. skhaack@usgs.gov","contributorId":1982,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan","email":"skhaack@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neff, Brian P.","contributorId":27548,"corporation":false,"usgs":true,"family":"Neff","given":"Brian P.","affiliations":[],"preferred":false,"id":354522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":354518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Savino, Jacqueline F. jsavino@usgs.gov","contributorId":2213,"corporation":false,"usgs":true,"family":"Savino","given":"Jacqueline","email":"jsavino@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":354520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lundstrom, Scott C. 0000-0003-4149-2219 sclundst@usgs.gov","orcid":"https://orcid.org/0000-0003-4149-2219","contributorId":2446,"corporation":false,"usgs":true,"family":"Lundstrom","given":"Scott","email":"sclundst@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":354521,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047300,"text":"70047300 - 2005 - A history of the Water Resources Division, U.S. Geological Survey: vol. VIII 1979-94","interactions":[],"lastModifiedDate":"2014-06-12T07:26:51","indexId":"70047300","displayToPublicDate":"2012-01-01T16:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"A history of the Water Resources Division, U.S. Geological Survey: vol. VIII 1979-94","docAbstract":"The mission of the Water Resources Division (WAD) of the U.S. Geological Survey (USGS) is to provide the hydrologic information and understanding needed for the optimum use and management of the Nation·s water resources for the overall benefit of the people of the United States.","language":"English","publisher":"U.S Government Printing Office","publisherLocation":"Washington, DC","doi":"10.3133/70047300","usgsCitation":"Blakey, J.F., Biesecker, J.E., Feltz, H.R., Kantrowitz, I.H., Yong, L.E., and and others, 2005, A history of the Water Resources Division, U.S. Geological Survey: vol. VIII 1979-94, vi, 599 p., https://doi.org/10.3133/70047300.","productDescription":"vi, 599 p.","numberOfPages":"606","additionalOnlineFiles":"N","costCenters":[{"id":629,"text":"Water Resources Division","active":false,"usgs":true}],"links":[{"id":275599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/unnumbered/70047300/report-thumb.jpg"},{"id":288396,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/unnumbered/70047300/report.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8e05fe4b0cecbe8fa984c","contributors":{"authors":[{"text":"Blakey, James F.","contributorId":65550,"corporation":false,"usgs":true,"family":"Blakey","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":481663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biesecker, James E.","contributorId":104042,"corporation":false,"usgs":true,"family":"Biesecker","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feltz, Herman R.","contributorId":49104,"corporation":false,"usgs":true,"family":"Feltz","given":"Herman","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":481662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kantrowitz, Irwin H.","contributorId":93472,"corporation":false,"usgs":true,"family":"Kantrowitz","given":"Irwin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":481665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yong, Loren E.","contributorId":88634,"corporation":false,"usgs":true,"family":"Yong","given":"Loren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"and others","contributorId":127886,"corporation":true,"usgs":false,"organization":"and others","id":535570,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":5224601,"text":"5224601 - 2005 - Groundwater control of mangrove surface elevation: shrink and swell varies with soil depth","interactions":[],"lastModifiedDate":"2012-02-02T00:15:31","indexId":"5224601","displayToPublicDate":"2010-06-16T12:18:51","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1583,"text":"Estuaries","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater control of mangrove surface elevation: shrink and swell varies with soil depth","docAbstract":"We measured monthly soil surface elevation change and determined its relationship to groundwater changes at a mangrove forest site along Shark River, Everglades National Park, Florida.  We combined the use of an original design, surface elevation table with new rod-surface elevation tables to separately track changes in the mid zone (0?4 m), the shallow root zone (0?0.35 m), and the full sediment profile (0?6 m) in response to site hydrology (daily river stage and groundwater piezometric pressure).  We calculated expansion and contraction for each of the four constituent soil zones (surface [accretion and erosion; above 0 m], shallow zone [0?0.35 m], middle zone [0.35?4 m], and bottom zone [4?6 m]) that comprise the entire soil column.  Changes in groundwater pressure correlated strongly with changes in soil elevation for the entire profile (Adjusted R2 5 0.90); this relationship was not proportional to the depth of the soil profile sampled.  The change in thickness of the bottom soil zone accounted for the majority (R2 5 0.63) of the entire soil profile expansion and contraction. The influence of hydrology on specific soil zones and absolute elevation change must be considered when evaluating the effect of disturbances, sea level rise, and water management decisions on coastal wetland systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/BF02696013","collaboration":"6480_Whelan.pdf","usgsCitation":"Whelan, K., Smith, T.J., Cahoon, D.R., Lynch, J., and Anderson, G., 2005, Groundwater control of mangrove surface elevation: shrink and swell varies with soil depth: Estuaries, v. 28, no. 6, p. 833-843, https://doi.org/10.1007/BF02696013.","productDescription":"833-843","startPage":"833","endPage":"843","numberOfPages":"11","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":17417,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1007/BF02696013","linkFileType":{"id":5,"text":"html"}},{"id":201731,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a70e4b07f02db641609","contributors":{"authors":[{"text":"Whelan, K.R.T.","contributorId":11311,"corporation":false,"usgs":true,"family":"Whelan","given":"K.R.T.","email":"","affiliations":[],"preferred":false,"id":342039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, T. J. III","contributorId":24303,"corporation":false,"usgs":true,"family":"Smith","given":"T.","suffix":"III","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":342040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":65424,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":342042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynch, J.C.","contributorId":25104,"corporation":false,"usgs":true,"family":"Lynch","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":342041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, G.H.","contributorId":93601,"corporation":false,"usgs":true,"family":"Anderson","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":342043,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224480,"text":"5224480 - 2005 - Investigating hydrologic alteration as a mechanism of fish assemblage shifts in urbanizing streams","interactions":[],"lastModifiedDate":"2016-12-07T10:48:00","indexId":"5224480","displayToPublicDate":"2010-06-16T12:18:49","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2564,"text":"Journal of the North American Benthological Society","onlineIssn":"1937-237X","printIssn":"0887-3593","active":true,"publicationSubtype":{"id":10}},"title":"Investigating hydrologic alteration as a mechanism of fish assemblage shifts in urbanizing streams","docAbstract":"<p><span>Stream biota in urban and suburban settings are thought to be impaired by altered hydrology; however, it is unknown what aspects of the hydrograph alter fish assemblage structure and which fishes are most vulnerable to hydrologic alterations in small streams. We quantified hydrologic variables and fish assemblages in 30 small streams and their subcatchments (area 8–20 km</span><sup>2</sup><span>) in the Etowah River Catchment (Georgia, USA). We stratified streams and their subcatchments into 3 landcover categories based on imperviousness (&lt;10%, 10–20%, &gt;20% of subcatchment), and then estimated the degree of hydrologic alteration based on synoptic measurements of baseflow yield. We derived hydrologic variables from stage gauges at each study site for 1 y (January 2003–2004). Increased imperviousness was positively correlated with the frequency of storm events and rates of the rising and falling limb of the hydrograph (i.e., storm “flashiness”) during most seasons. Increased duration of low flows associated with imperviousness only occurred during the autumn low-flow period, and this measure corresponded with increased richness of lentic tolerant species. Altered storm flows in summer and autumn were related to decreased richness of endemic, cosmopolitan, and sensitive fish species, and decreased abundance of lentic tolerant species. Species predicted to be sensitive to urbanization, based on specific life-history or habitat requirements, also were related to stormflow variables and % fine bed sediment in riffles. Overall, hydrologic variables explained 22 to 66% of the variation in fish assemblage richness and abundance. Linkages between hydrologic alteration and fish assemblages were potentially complicated by contrasting effects of elevated flows on sediment delivery and scour, and mediating effects of high stream gradient on sediment delivery from elevated flows. However, stormwater management practices promoting natural hydrologic regimes are likely to reduce the impacts of catchment imperviousness on stream fish assemblages.</span></p>","language":"English","publisher":"University of Chicago Press","doi":"10.1899/04-022.1","usgsCitation":"Roy, A., Freeman, M.C., Freeman, B.J., Wenger, S., Ensign, W., and Meyer, J., 2005, Investigating hydrologic alteration as a mechanism of fish assemblage shifts in urbanizing streams: Journal of the North American Benthological Society, v. 24, no. 3, p. 656-678, https://doi.org/10.1899/04-022.1.","productDescription":"23 p.","startPage":"656","endPage":"678","numberOfPages":"23","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48bfe4b07f02db53a99f","contributors":{"authors":[{"text":"Roy, A.H.","contributorId":24065,"corporation":false,"usgs":true,"family":"Roy","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":341829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary C. 0000-0001-7615-6923","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":99659,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":341833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, B. J.","contributorId":8031,"corporation":false,"usgs":true,"family":"Freeman","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":341828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenger, S.J.","contributorId":51883,"corporation":false,"usgs":true,"family":"Wenger","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":341830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ensign, W.E.","contributorId":66382,"corporation":false,"usgs":true,"family":"Ensign","given":"W.E.","email":"","affiliations":[],"preferred":false,"id":341831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meyer, J.L.","contributorId":73316,"corporation":false,"usgs":true,"family":"Meyer","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":341832,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":5224457,"text":"5224457 - 2005 - Climate patterns as predictors of amphibians species richness and indicators of potential stress","interactions":[],"lastModifiedDate":"2018-11-05T10:45:08","indexId":"5224457","displayToPublicDate":"2010-06-16T12:18:46","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":697,"text":"Alytes","active":true,"publicationSubtype":{"id":10}},"title":"Climate patterns as predictors of amphibians species richness and indicators of potential stress","docAbstract":"<p>Amphibians occupy a range of habitats throughout the world, but species richness is greatest in regions with moist, warm climates. We modeled the statistical relations of anuran and urodele species richness with mean annual climate for the conterminous United States, and compared the strength of these relations at national and regional levels. Model variables were calculated for county and subcounty mapping units, and included 40-year (1960-1999) annual mean and mean annual climate statistics, mapping unit average elevation, mapping unit land area, and estimates of anuran and urodele species richness. Climate data were derived from more than 7,500 first-order and cooperative meteorological stations and were interpolated to the mapping units using multiple linear regression models. Anuran and urodele species richness were calculated from the United States Geological Survey's Amphibian Research and Monitoring Initiative (ARMI) National Atlas for Amphibian Distributions. The national multivariate linear regression (MLR) model of anuran species richness had an adjusted coefficient of determination (R2) value of 0.64 and the national MLR model for urodele species richness had an R2 value of 0.45. Stratifying the United States by coarse-resolution ecological regions provided models for anUrans that ranged in R2 values from 0.15 to 0.78. Regional models for urodeles had R2 values. ranging from 0.27 to 0.74. In general, regional models for anurans were more strongly influenced by temperature variables, whereas precipitation variables had a larger influence on urodele models.</p>","language":"English","usgsCitation":"Battaglin, W., Hay, L., McCabe, G., Nanjappa, P., and Gallant, A.L., 2005, Climate patterns as predictors of amphibians species richness and indicators of potential stress: Alytes, v. 22, no. 3-4, p. 146-167.","productDescription":"22 p.","startPage":"146","endPage":"167","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":202182,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5fa686","contributors":{"authors":[{"text":"Battaglin, W.","contributorId":80388,"corporation":false,"usgs":true,"family":"Battaglin","given":"W.","email":"","affiliations":[],"preferred":false,"id":341737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, L.","contributorId":72103,"corporation":false,"usgs":true,"family":"Hay","given":"L.","email":"","affiliations":[],"preferred":false,"id":341735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCabe, G.","contributorId":77637,"corporation":false,"usgs":true,"family":"McCabe","given":"G.","affiliations":[],"preferred":false,"id":341736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nanjappa, P.","contributorId":89247,"corporation":false,"usgs":true,"family":"Nanjappa","given":"P.","affiliations":[],"preferred":false,"id":341738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallant, Alisa L. 0000-0002-3029-6637","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":23508,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":341734,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224451,"text":"5224451 - 2005 - Correlates of vernal pool occurrence in the Massachusetts USA, landscape","interactions":[],"lastModifiedDate":"2022-06-06T15:42:39.15594","indexId":"5224451","displayToPublicDate":"2010-06-16T12:18:45","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Correlates of vernal pool occurrence in the Massachusetts USA, landscape","docAbstract":"<p><span>Vernal pool wetlands are at risk of destruction across the northeast United States, due in part to their diminutive size and short hydroperiolds. These characteristics make it difficult to locate vernal pool habitats in the landscape during much of the year, and no efficient method exists for predicting their occurrence. A logistic regression procedure was used to identify large-scale variables that influence the presence of a potential vernal pool, including surficial geology, land use and land cover, soil classification, topography, precipitation, and surficial hydrologic features. The model was validated with locations of field-verified vernal pools. The model demonstrated that the probability of potential vernal pool occurrence is positively related to slope, negatively related to till/bedrock surficial geology, and negatively related to the proportion of cropland, urban/commercial, and high density residential development in the landscape. The relationship between vernal pool occurrence and large-scale variables suggests that these habitats do not occur at random in the landscape, and thus, protection</span><i>in situ</i><span>&nbsp;should be considered.</span></p>","language":"English","publisher":"Springer","doi":"10.1672/22","usgsCitation":"Campbell Grant, E.H., 2005, Correlates of vernal pool occurrence in the Massachusetts USA, landscape: Wetlands, v. 25, no. 2, p. 480-487, https://doi.org/10.1672/22.","productDescription":"8 p.","startPage":"480","endPage":"487","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202501,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":5224426,"text":"5224426 - 2005 - Stream salamander species richness and abundance in relation to environmental factors in Shenandoah National Park, Virginia","interactions":[],"lastModifiedDate":"2018-10-31T08:44:44","indexId":"5224426","displayToPublicDate":"2010-06-16T12:18:44","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Stream salamander species richness and abundance in relation to environmental factors in Shenandoah National Park, Virginia","docAbstract":"<p>Stream salamanders are sensitive to acid mine drainage and may be sensitive to acidification and low acid neutralizing capacity (ANC) of a watershed. Streams in Shenandoah National Park, Virginia, are subject to episodic acidification from precipitation events. We surveyed 25 m by 2 m transects located on the stream bank adjacent to the water channel in Shenandoah National Park for salamanders using a stratified random sampling design based on elevation, aspect and bedrock geology. We investigated the relationships of four species (<i>Eurycea bislineata</i>, <i>Desmognathus fuscus</i>, <i>D. monticola</i> and <i>Gyrinophilus porphyriticus</i>) to habitat and water quality variables. We did not find overwhelming evidence that stream salamanders are affected by the acid-base status of streams in Shenandoah National Park. <i>Desmognathus fuscus</i> and<i> D. monticola</i> abundance was greater both in streams that had a higher potential to neutralize acidification, and in higher elevation (&gt;700 m) streams. Neither abundance of <i>E. bislineata</i> nor species richness were related to any of the habitat variables. Our sampling method preferentially detected the adult age class of the study species and did not allow us to estimate population sizes. We suggest that continued monitoring of stream salamander populations in SNP will determine the effects of stream acidification on these taxa.</p>","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031(2005)153[0348:SSSRAA]2.0.CO;2","usgsCitation":"Campbell Grant, E., Jung, R.E., and Rice, K.C., 2005, Stream salamander species richness and abundance in relation to environmental factors in Shenandoah National Park, Virginia: American Midland Naturalist, v. 153, no. 2, p. 348-356, https://doi.org/10.1674/0003-0031(2005)153[0348:SSSRAA]2.0.CO;2.","productDescription":"9 p.","startPage":"348","endPage":"356","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":202570,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.20068359374999,\n              38.6275996886131\n            ],\n            [\n              -78.1512451171875,\n              38.7283759182398\n            ],\n            [\n              -78.12103271484375,\n              38.76693348394693\n            ],\n            [\n              -78.1182861328125,\n              38.86109762182888\n            ],\n            [\n              -78.19244384765625,\n              38.92522904714054\n            ],\n            [\n        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-78.37921142578125,\n              38.371808917147554\n            ],\n            [\n              -78.3544921875,\n              38.44498466889473\n            ],\n            [\n              -78.31054687499999,\n              38.50948995925553\n            ],\n            [\n              -78.23638916015625,\n              38.55031345037904\n            ],\n            [\n              -78.23638916015625,\n              38.59326051987162\n            ],\n            [\n              -78.20068359374999,\n              38.6275996886131\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}\n","volume":"153","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a510a","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":23233,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan H.","affiliations":[],"preferred":false,"id":658218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jung, Robin E.","contributorId":22434,"corporation":false,"usgs":true,"family":"Jung","given":"Robin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":341652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":1998,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":341653,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204260,"text":"70204260 - 2005 - Implications of global climatic change and energy cost and availability for the restoration of the Mississippi delta","interactions":[],"lastModifiedDate":"2019-07-16T12:12:27","indexId":"70204260","displayToPublicDate":"2010-05-10T12:02:30","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Implications of global climatic change and energy cost and availability for the restoration of the Mississippi delta","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"aep-abstract-id19\" class=\"abstract author\"><div id=\"aep-abstract-sec-id20\"><p>Over the past several thousand years, inputs from the Mississippi River formed the Mississippi delta, an area of about 25,000&nbsp;km<sup>2</sup><span>. Over the past century, however, there has been a high loss of coastal&nbsp;wetlands&nbsp;of about 4800</span>&nbsp;km<sup>2</sup><span>. The main causes of this loss are the near complete isolation of the river from the delta, mostly due to the construction of flood control levees, and pervasive hydrological disruption of the deltaic plain. There is presently a large-scale State-Federal program to restore the delta that includes construction of water control structures in the flood control levees to divert river water into deteriorating wetlands and pumping of dredged&nbsp;sediment, often for long distances, for&nbsp;marsh&nbsp;creation. Global climate change and decreasing availability and increasing cost of energy are likely to have important implications for delta restoration. Coastal restoration efforts will have to be more intensive to offset the impacts of climate change including accelerated sea level rise and&nbsp;changes in precipitation&nbsp;patterns. Future coastal restoration efforts should also focus on less energy-intensive, ecologically engineered&nbsp;management techniques&nbsp;that use the energies of nature as much as possible. Diversions may be as important for controlling&nbsp;salinity&nbsp;as for providing sediments and nutrients for restoring&nbsp;coastal wetlands. Energy-intensive pumping-dredged sediments for coastal restoration will likely become much more expensive in the future.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2004.11.015","usgsCitation":"Day, J.W., 2005, Implications of global climatic change and energy cost and availability for the restoration of the Mississippi delta: Ecological Engineering, v. 24, p. 253-265, https://doi.org/10.1016/j.ecoleng.2004.11.015.","productDescription":"13 p.","startPage":"253","endPage":"265","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":365616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.6968994140625,\n              30.164126343161097\n            ],\n            [\n              -93.71337890625,\n              30.06909396443887\n            ],\n            [\n              -93.8232421875,\n              29.98824461550903\n            ],\n            [\n              -93.9056396484375,\n              29.797751134173065\n            ],\n            [\n              -93.84521484375,\n              29.692824739380754\n            ],\n            [\n              -93.6199951171875,\n              29.716681287231072\n            ],\n            [\n              -93.36181640625,\n              29.740532166753606\n            ],\n            [\n              -93.1915283203125,\n              29.754839972510933\n            ],\n            [\n              -92.92236328125,\n              29.67850809103362\n            ],\n            [\n              -92.713623046875,\n              29.592565403314087\n            ],\n            [\n              -92.5048828125,\n              29.544787796199465\n            ],\n            [\n              -92.21923828124999,\n              29.506549442788593\n            ],\n            [\n              -92.120361328125,\n              29.559123451577964\n            ],\n            [\n              -91.93359375,\n              29.492206334848714\n            ],\n            [\n              -91.7578125,\n              29.44916482692468\n            ],\n            [\n              -91.329345703125,\n              29.248063243796576\n            ],\n            [\n              -90.9283447265625,\n              28.969700808694157\n            ],\n            [\n              -90.08239746093749,\n              29.046565622728846\n            ],\n            [\n              -89.351806640625,\n              28.859107573773\n            ],\n            [\n              -88.890380859375,\n              29.171348850951507\n            ],\n            [\n              -88.714599609375,\n              29.95969381418452\n            ],\n            [\n              -88.9727783203125,\n              30.14512718337613\n            ],\n            [\n              -89.5440673828125,\n              30.168875561169088\n            ],\n            [\n              -89.7418212890625,\n              30.20211367909724\n            ],\n            [\n              -90.142822265625,\n              30.420256142845158\n            ],\n            [\n              -90.75256347656249,\n              30.44867367928756\n            ],\n            [\n              -91.219482421875,\n              30.401306519203583\n            ],\n            [\n              -91.417236328125,\n              30.244831915307145\n            ],\n            [\n              -91.3348388671875,\n              30.016787209111047\n            ],\n            [\n              -91.900634765625,\n              30.121373087823045\n            ],\n            [\n              -93.4002685546875,\n              30.259067203213018\n            ],\n            [\n              -93.6968994140625,\n              30.164126343161097\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Day, John W.","contributorId":216986,"corporation":false,"usgs":false,"family":"Day","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":766216,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":5211300,"text":"5211300 - 2005 - Status and conservation of the fish fauna of the Alabama River system","interactions":[],"lastModifiedDate":"2012-02-02T00:15:22","indexId":"5211300","displayToPublicDate":"2009-06-09T09:23:19","publicationYear":"2005","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"45","title":"Status and conservation of the fish fauna of the Alabama River system","docAbstract":"The Alabama River system, comprising the Alabama, Coosa, and Tallapoosa subsystems, forms the eastern portion of the Mobile River drainage.  Physiographic diversity and geologic history have fostered development in the Alabama River system of globally significant levels of aquatic faunal diversity and endemism.  At least 184 fishes are native to the system, including at least 33 endemic species.  During the past century, dam construction for hydropower generation and navigation resulted in 16 reservoirs that inundate 44% of the length of the Alabama River system main stems.  This extensive physical and hydrologic alteration has affected the fish fauna in three major ways.  Diadromous and migratory species have declined precipitously.  Fish assemblages persisting downstream from large main-stem dams have been simplified by loss of species unable to cope with altered flow and water quality regimes.  Fish populations persisting in the headwaters and in tributaries to the mainstem reservoirs are now isolated and subjected to effects of physical and chemical habitat degradation.  Ten fishes in the Alabama River system (including seven endemic species) are federally listed as threatened or endangered.  Regional experts consider at least 28 additional species to be vulnerable, threatened, or endangered with extinction.  Conserving the Alabama River system fish fauna will require innovative dam management, protection of streams from effects of urbanization and water supply development, and control of alien species dispersal.  Failure to manage aggressively for integrity of remaining unimpounded portions of the Alabama River system will result in reduced quality of natural resources for future generations, continued assemblage simplification, and species extinction. ","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Historical Changes in Large River Fish Assemblages of the Americas","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisherLocation":"Bethesda, Maryland","collaboration":"OCLC:  61894396  ISBN 1-888569-72-7   Proceedings of the AFS Symposium, Changes in Fish Community Structures in Large USA Rivers, held in Phoenix, Arizona, USA, 21 August 2001.   PDF on file: 6401_Freeman.pdf","usgsCitation":"Freeman, M.C., Irwin, E., Burkhead, N., Freeman, B.J., and Bart, H., 2005, Status and conservation of the fish fauna of the Alabama River system, chap. <i>of</i> Historical Changes in Large River Fish Assemblages of the Americas, p. 557-585.","startPage":"557","endPage":"585","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":200733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dbe4b07f02db5e0a71","contributors":{"editors":[{"text":"Rinne, John N.","contributorId":112029,"corporation":false,"usgs":true,"family":"Rinne","given":"John","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":507952,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hughes, Robert M.","contributorId":113579,"corporation":false,"usgs":true,"family":"Hughes","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":507954,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Calamusso, Bob","contributorId":112460,"corporation":false,"usgs":true,"family":"Calamusso","given":"Bob","email":"","affiliations":[],"preferred":false,"id":507953,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Freeman, Mary C. 0000-0001-7615-6923","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":99659,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":330642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, E.R.","contributorId":90269,"corporation":false,"usgs":true,"family":"Irwin","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":330641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkhead, N.M.","contributorId":34456,"corporation":false,"usgs":true,"family":"Burkhead","given":"N.M.","affiliations":[],"preferred":false,"id":330639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, B. J.","contributorId":8031,"corporation":false,"usgs":true,"family":"Freeman","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":330638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bart, H.L. Jr.","contributorId":42679,"corporation":false,"usgs":true,"family":"Bart","given":"H.L.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":330640,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":80124,"text":"fs20053049 - 2005 - Elevation derivatives for national applications","interactions":[],"lastModifiedDate":"2019-04-10T07:40:03","indexId":"fs20053049","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3049","displayTitle":"Elevation Derivatives for National Applications","title":"Elevation derivatives for national applications","docAbstract":"The Elevation Derivatives for National Applications (EDNA) project is a multi-agency effort to develop standard topographically derived layers for use in hydrologic and environmental modeling. The EDNA takes advantage of the seamless and filtered characteristics for the National Elevation Dataset (NED) to create a hydrologically conditioned Digital Elevation Model (DEM) useful for modeling applications. The goals of the project are to create a hydrologically conditioned DEM and systematically extract a set of standard derivatives that can be used to facilitate data integration with other U.S. Geological Survey (USGS) framework data sets such as the National Hydrography Dataset (NHD) and the Watershed Boundaries Dataset (WBD).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20053049","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2005, Elevation derivatives for national applications: U.S. Geological Survey Fact Sheet 2005-3049, 2 p., https://doi.org/10.3133/fs20053049.","productDescription":"2 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":362007,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2005/3049/coverthb.jpg"},{"id":362008,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2005/3049/fs20053049.pdf","text":"Report","size":"382 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2005–3049"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p>","tableOfContents":"<ul><li>Overview</li><li>Development Stages</li><li>EDNA Layers</li><li>Example Applications</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a19e4b07f02db605f1a","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534870,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79309,"text":"ofr20051233 - 2005 - Submersed Aquatic Vegetation Modeling Output Online","interactions":[],"lastModifiedDate":"2012-02-02T00:13:57","indexId":"ofr20051233","displayToPublicDate":"2006-11-02T00:00:00","publicationYear":"2005","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":"2005-1233","title":"Submersed Aquatic Vegetation Modeling Output Online","docAbstract":"Introduction\r\n\r\nThe ability to predict the distribution of submersed aquatic vegetation in the Upper Mississippi River on the basis of physical or chemical variables is useful to resource managers. Wildlife managers have a keen interest in advanced estimates of food quantity such as American wildcelery (Vallisneria americana) population status to give out more informed advisories to hunters before the fall hunting season. Predictions for distribution of submerged aquatic vegetation beds can potentially increase hunter observance of voluntary avoidance zones where foraging birds are left alone to feed undisturbed. In years when submersed aquatic vegetation is predicted to be scarce in important wildlife habitats, managers can get the message out to hunters well before the hunting season (Jim Nissen, Upper Mississippi River National Wildlife and Fish Refuge, La Crosse District Manager, La Crosse, Wisconsin, personal communication).\r\n\r\nWe developed a statistical model to predict the probability of occurrence of submersed aquatic vegetation in Pool 8 of the Upper Mississippi River on the basis of a few hydrological, physical, and geomorphic variables. Our model takes into consideration flow velocity, wind fetch, bathymetry, growing-season daily water level, and light extinction coefficient in the river (fig. 1) and calculates the probability of submersed aquatic vegetation existence in Pool 8 in individual 5- x 5-m grid cells. The model was calibrated using the data collected in 1998 (516 sites), 1999 (595 sites), and 2000 (649 sites) using a stratified random sampling protocol (Yin and others, 2000b). To validate the model, we chose the data from the Long Term Resource Monitoring Program (LTRMP) transect sampling in backwater areas (Rogers and Owens 1995; Yin and others, 2000a) and ran the model for each 5- x 5-m grid cell in every growing season from 1991 to 2001. We tallied all the cells and came up with an annual average percent frequency of submersed aquatic vegetation occurrence and compared the results with actual LTRMP survey data (fig. 2). Both a paired Student's test (P = 0.4620) and a Wilcoxon's two-sample test (P = 0.4738) did not contradict our null hypothesis that the model prediction and the sampling data are statistically the same. We have not found an effective statistical test to compare model-predicted spatial pattern with aerial photography geographic information, but we are satisfied with the model's outcome on the basis of visual inspection (fig. 3).\r\n\r\nA unique feature about this model is that a prediction can be made by the end of June each year; therefore, providing wildlife managers an assessment of current year vegetation growth condition 3 to 4 months ahead of the arrival of migrating waterfowl that feed on submersed aquatic vegetation. We are working with the LTRMP partnership to create a mechanism so that model predictions (fig. 4) can be updated annually and the results posted on the LTRMP Web site. Our model underestimated the prevalence of vegetation from 2001 to 2004. We speculate that the summer water level reduction conducted in 2001 and 2002 triggered vegetation responses that are outside the model's domain. Future enhancement of the model will incorporate the summer water level drawdown effects as well as the effects of growth conditions in previous years.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20051233","usgsCitation":"Yin, Y., Rogala, J., Sullivan, J., and Rohweder, J.J., 2005, Submersed Aquatic Vegetation Modeling Output Online: U.S. Geological Survey Open-File Report 2005-1233, 2 p., https://doi.org/10.3133/ofr20051233.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":8793,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.umesc.usgs.gov/management/dss/sub_veg_model.html","linkFileType":{"id":5,"text":"html"}},{"id":191200,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9834,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1233/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699b48","contributors":{"authors":[{"text":"Yin, Yao yyin@usgs.gov","contributorId":2170,"corporation":false,"usgs":true,"family":"Yin","given":"Yao","email":"yyin@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":289621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogala, Jim","contributorId":71269,"corporation":false,"usgs":true,"family":"Rogala","given":"Jim","email":"","affiliations":[],"preferred":false,"id":289623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, John","contributorId":37017,"corporation":false,"usgs":true,"family":"Sullivan","given":"John","affiliations":[],"preferred":false,"id":289622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohweder, Jason J. jrohweder@usgs.gov","contributorId":460,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":289620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":76517,"text":"sim2914 - 2005 - Geohydrology of the Valley-Fill Aquifers between the Village of Greene, Chenango County and Chenango Valley State Park, Broome County, New York","interactions":[],"lastModifiedDate":"2017-04-04T13:49:39","indexId":"sim2914","displayToPublicDate":"2006-04-07T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2914","title":"Geohydrology of the Valley-Fill Aquifers between the Village of Greene, Chenango County and Chenango Valley State Park, Broome County, New York","docAbstract":"<p>This set of maps and geohydrologic sections depict the geology and hydrology of valley-fill aquifers in the 14-mile reach of the Chenango River valley between the Village of Greene and the area south of Chenango Valley State Park, N.Y. This map report depicts the aquifers; locations of domestic, production, and test wells; surficial geology; water-table altitude; potentiometric-surface altitude; generalized saturated thickness of the unconfined (water-table) aquifer; generalized thickness of the confined aquifer; and includes three geohydrologic sections.</p>\n<p>The valley fill in the Chenango River valley consists primarily of (1) glaciofluvial deposits comprised of stratified coarse-grained sediment (sand and gravel) that were deposited by meltwater streams flowing on, below, and in front of the glacier; (2) lacustrine sediments consisting of stratified fine-grained sediment (very fine sand, silt, and clay) that were deposited in proglacial lakes that formed at the front of a glacier; and (3) recent alluvium consisting of alluvial fan deposits (sand, silt, and gravel), floodplain sediments (fine-to-medium sand and silt), and channel deposits (sand and gravel).</p>\n<p>The Chenango River valley contains an unconfined valley-fill aquifer throughout much of the study area, and a confined valley-fill aquifer in the area between the northern edge of the Chenango Valley State Park and the Village of Greene. The unconfined aquifer consists predominantly of alluvial and outwash sand and gravel. The water table was mapped using water-level measurements obtained from wells completed in the unconfined aquifer, and from altitudes of lakes, ponds, and streams as indicated on U.S. Geological Survey 1:24,000-scale topographic maps. The depth to the water table typically ranges from 5 to 15 feet below land surface, but can locally be as much as 100 feet, such as in the ice-contact deposits in the Chenango Valley State Park.</p>\n<p>The confined aquifer is widely used by people living and working in the Chenango River valley. The confined aquifer consists of ice-contact sand and gravel, typically overlies bedrock, and underlies a confining unit consisting of lacustrine fine sand, silt, and clay. The confining unit is typically more than 100 feet thick in the central parts of the valley between Greene Landing Field and along the northern edge of the Chenango Valley State Park. The thickness of the confined aquifer is more than 40 feet near the Greene Landing Field.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2914","usgsCitation":"Hetcher-Aguila, K.K., and Miller, T.S., 2005, Geohydrology of the Valley-Fill Aquifers between the Village of Greene, Chenango County and Chenango Valley State Park, Broome County, New York: U.S. Geological Survey Scientific Investigations Map 2914, 8 Plates, https://doi.org/10.3133/sim2914.","productDescription":"8 Plates","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":323534,"rank":2,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/2914/sim2914_plate1.pdf","text":"Plate 1 - Introduction and location of study area, orig. size 20\"x30\"","size":"736 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2914"},{"id":323535,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/2914/sim2914_plate2.pdf","text":"Plate 2 - Location of selected wells and test holes, orig. size 36\"x30\"","size":"8.5 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2914"},{"id":323536,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/2914/sim2914_plate3.pdf","text":"Plate 3 - Surficial geology, orig. size 20\"x30\"","size":"8.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2914"},{"id":323537,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/2914/sim2914_plate4.pdf","text":"Plate 4 - Generalized water-table altitude, orig. size 20\"x30\"","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":323538,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/2914/sim2914_plate5.pdf","text":"Plate 5 - Generalized potentiometric-surface altitude in the confined aquifer, orig. size 20\"x30\"","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2914"},{"id":323539,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/2914/sim2914_plate6.pdf","text":"Plate 6 - Generalized saturated thickness of the unconfined aquifer, orig. size 20\"x30\"","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2914"},{"id":323540,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/2914/sim2914_plate7.pdf","text":"Plate 7 - Generalized thickness of the confined aquifer, orig. size 20\"x30\"","size":"7.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2914"},{"id":323541,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/2914/sim2914_plate8.pdf","text":"Plate 8 - Generalized geohydrologic sections, orig. size 30\"x20\"","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2914"},{"id":190591,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/2914/coverthb.jpg"},{"id":326258,"rank":10,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/2914/readme.txt","text":"README.TXT - Important CD-ROM end-user information","size":"3.60 MB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 2914"}],"scale":"24000","contact":"<p>Director, New York Water Science Center<br> U.S. Geological Survey<br>425 Jordan Rd<br> Troy, NY 12180<br> (518) 285-5695 <br> <a href=\"http://ny.water.usgs.gov/\" data-mce-href=\"http://ny.water.usgs.gov/\">http://ny.water.usgs.gov/</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a87aa","contributors":{"authors":[{"text":"Hetcher-Aguila, Kari K.","contributorId":92753,"corporation":false,"usgs":true,"family":"Hetcher-Aguila","given":"Kari","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":287232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Todd S. tsmiller@usgs.gov","contributorId":1190,"corporation":false,"usgs":true,"family":"Miller","given":"Todd","email":"tsmiller@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76103,"text":"ofr20051442 - 2005 - Questa baseline and pre-mining ground-water quality invistigation. 13. Mineral microscopy and chemistry of mined and unmined porphyry molybdenum mineralization along the Red River, New Mexico: Implications for ground- and surface-water quality","interactions":[],"lastModifiedDate":"2022-06-03T19:53:09.926661","indexId":"ofr20051442","displayToPublicDate":"2006-03-30T00:00:00","publicationYear":"2005","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":"2005-1442","displayTitle":"Questa Baseline and Pre-Mining Ground-Water Quality Investigation. 13. Mineral Microscopy and Chemistry of Mined and Unmined Porphyry Molybdenum Mineralization Along the Red River, New Mexico: Implications for Ground- and Surface-Water Quality","title":"Questa baseline and pre-mining ground-water quality invistigation. 13. Mineral microscopy and chemistry of mined and unmined porphyry molybdenum mineralization along the Red River, New Mexico: Implications for ground- and surface-water quality","docAbstract":"This report is one in a series presenting results of an interdisciplinary U.S. Geological Survey (USGS) study of ground-water quality in the lower Red River watershed prior to open-pit and underground molybdenite mining at Molycorp's Questa mine. The stretch of the Red River watershed that extends from just upstream of the town of Red River to just above the town of Questa includes several mineralized areas in addition to the one mined by Molycorp. Natural erosion and weathering of pyrite-rich rocks in the mineralized areas has created a series of erosional scars along this stretch of the Red River that contribute acidic waters, as well as mineralized alluvial material and sediments, to the river. The overall goal of the USGS study is to infer the pre-mining ground-water quality at the Molycorp mine site. An integrated geologic, hydrologic, and geochemical model for ground water in the mineralized but unmined Straight Creek drainage is being used as an analogue for the geologic, geochemical, and hydrologic conditions that influenced ground-water quality and quantity at the mine site prior to mining. This report summarizes results of reconnaissance mineralogical and chemical characterization studies of rock samples collected from the various scars and the Molycorp open pit, and of drill cuttings or drill core from bedrock beneath the scars and adjacent debris fans.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051442","collaboration":"Prepared in cooperation with the New Mexico Environment Department","usgsCitation":"Plumlee, G., Lowers, H., Ludington, S., Koenig, A., and Briggs, P., 2005, Questa baseline and pre-mining ground-water quality invistigation. 13. Mineral microscopy and chemistry of mined and unmined porphyry molybdenum mineralization along the Red River, New Mexico: Implications for ground- and surface-water quality (Version 1.0): U.S. Geological Survey Open-File Report 2005-1442, 95 p., https://doi.org/10.3133/ofr20051442.","productDescription":"95 p.","onlineOnly":"Y","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":194473,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7994,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1442/","linkFileType":{"id":5,"text":"html"}},{"id":401716,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76634.htm"}],"country":"United States","state":"New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.58333333333333,36.666666666666664 ], [ -105.58333333333333,36.75 ], [ -105.33333333333333,36.75 ], [ -105.33333333333333,36.666666666666664 ], [ -105.58333333333333,36.666666666666664 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db68a32b","contributors":{"authors":[{"text":"Plumlee, Geoff","contributorId":16478,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoff","email":"","affiliations":[],"preferred":false,"id":287069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowers, Heather 0000-0001-5360-9264","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":52609,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","affiliations":[],"preferred":false,"id":287070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludington, Steve","contributorId":106848,"corporation":false,"usgs":true,"family":"Ludington","given":"Steve","affiliations":[],"preferred":false,"id":287073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koenig, Alan 0000-0002-5230-0924","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":63159,"corporation":false,"usgs":true,"family":"Koenig","given":"Alan","affiliations":[],"preferred":false,"id":287072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Paul","contributorId":59510,"corporation":false,"usgs":true,"family":"Briggs","given":"Paul","affiliations":[],"preferred":false,"id":287071,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":74633,"text":"sir20055229 - 2005 - Water quality and ground-water/surface-water interactions along the John River near Anaktuvuk Pass, Alaska, 2002-2003","interactions":[],"lastModifiedDate":"2016-06-20T15:24:08","indexId":"sir20055229","displayToPublicDate":"2006-02-23T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5229","title":"Water quality and ground-water/surface-water interactions along the John River near Anaktuvuk Pass, Alaska, 2002-2003","docAbstract":"<p><span>The headwaters of the&nbsp;</span><span class=\"searchword\">John</span><span>&nbsp;</span><span class=\"searchword\">River</span><span>&nbsp;are located&nbsp;</span><span class=\"searchword\">near</span><span>&nbsp;the village of</span><span class=\"searchword\">Anaktuvuk</span><span>&nbsp;</span><span class=\"searchword\">Pass</span><span>&nbsp;in the central Brooks Range of interior&nbsp;</span><span class=\"searchword\">Alaska</span><span>. With the recent construction of a&nbsp;</span><span class=\"searchword\">water</span><span>-supply system and a wastewater-treatment plant, most homes in&nbsp;</span><span class=\"searchword\">Anaktuvuk</span><span>&nbsp;</span><span class=\"searchword\">Pass</span><span>&nbsp;now have modern&nbsp;</span><span class=\"searchword\">water</span><span>&nbsp;and wastewater systems. The effluent from the treatment plant discharges into a settling pond&nbsp;</span><span class=\"searchword\">near</span><span>&nbsp;a tributary of the&nbsp;</span><span class=\"searchword\">John</span><span>&nbsp;</span><span class=\"searchword\">River</span><span>. The headwaters of the&nbsp;</span><span class=\"searchword\">John</span><span>&nbsp;</span><span class=\"searchword\">River</span><span>&nbsp;are adjacent to Gates of the Arctic National Park and Preserve, and the&nbsp;</span><span class=\"searchword\">John</span><span>&nbsp;</span><span class=\"searchword\">River</span><span>&nbsp;is a designated Wild&nbsp;</span><span class=\"searchword\">River</span><span>. Due to the concern about possible&nbsp;</span><span class=\"searchword\">water</span><span>-</span><span class=\"searchword\">quality</span><span>&nbsp;effects from the wastewater effluent, the hydrology of the&nbsp;</span><span class=\"searchword\">John</span><span>&nbsp;</span><span class=\"searchword\">River</span><span>&nbsp;</span><span class=\"searchword\">near</span><span>&nbsp;</span><span class=\"searchword\">Anaktuvuk</span><span>&nbsp;</span><span class=\"searchword\">Pass</span><span>&nbsp;was studied from&nbsp;</span><span class=\"searchword\">2002</span><span>&nbsp;through&nbsp;</span><span class=\"searchword\">2003</span><span>. Three streams form the&nbsp;</span><span class=\"searchword\">John</span><span>&nbsp;</span><span class=\"searchword\">River</span><span>&nbsp;at</span><span class=\"searchword\">Anaktuvuk</span><span>&nbsp;</span><span class=\"searchword\">Pass</span><span>: Contact Creek, Giant Creek, and the&nbsp;</span><span class=\"searchword\">John</span><span>&nbsp;</span><span class=\"searchword\">River</span><span>Tributary. These streams drain areas of 90.3 km (super 2) , 120 km (super 2) , and 4.6 km (super 2) , respectively.&nbsp;</span><span class=\"searchword\">Water</span><span>-</span><span class=\"searchword\">quality</span><span>data collected from these streams from&nbsp;</span><span class=\"searchword\">2002</span><span>-03 indicate that the waters are a calcium-bicarbonate type and that Giant Creek adds a sulfate component to the John River. The highest concentrations of bicarbonate, calcium, sodium, sulfate, and nitrate were found at the John River Tributary below the wastewater-treatment lagoon. These concentrations have little effect on the water quality of the John River because the flow of the John River Tributary is only about 2 percent of the John River flow. To better understand the ground-water/surface-water interactions of the upper John River, a numerical groundwater-flow model of the headwater area of the John River was constructed. Processes that occur during spring break-up, such as thawing of the active layer and the frost table and the resulting changes of storage capacity of the aquifer, were difficult to measure and simulate. Application and accuracy of the model is limited by the lack of specific hydrogeologic data both spatially and temporally. However, during the mid-winter and open-water periods, the model provided acceptable results and was coupled with a particle-movement model to simulate the movement and possible extent of conservative particles from the wastewater-treatment-plant lagoon.</span></p>","language":"English","publisher":"American Geosciences Institute","doi":"10.3133/sir20055229","issn":"2328-031X","usgsCitation":"Moran, E.H., and Brabets, T.P., 2005, Water quality and ground-water/surface-water interactions along the John River near Anaktuvuk Pass, Alaska, 2002-2003 (Online only): U.S. Geological Survey Scientific Investigations Report 2005-5229, 39 p., https://doi.org/10.3133/sir20055229.","productDescription":"39 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":193065,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7588,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5229/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5f9c22","contributors":{"authors":[{"text":"Moran, Edward H. emoran@usgs.gov","contributorId":5445,"corporation":false,"usgs":true,"family":"Moran","given":"Edward","email":"emoran@usgs.gov","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":286675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":286674,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":74703,"text":"ofr20051300 - 2005 - Herpetofaunal Inventories of the National Parks of South Florida and the Caribbean: Volume III. Big Cypress National Preserve","interactions":[],"lastModifiedDate":"2012-02-02T00:14:05","indexId":"ofr20051300","displayToPublicDate":"2006-02-23T00:00:00","publicationYear":"2005","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":"2005-1300","title":"Herpetofaunal Inventories of the National Parks of South Florida and the Caribbean: Volume III. Big Cypress National Preserve","docAbstract":"Amphibian declines and extinctions have been documented around the world, often in protected natural areas. Concern for this trend has prompted the U.S. Geological Survey and the National Park Service to document all species of amphibians that occur within U.S. National Parks and to search for any signs that amphibians may be declining. This study, an inventory of amphibian species in Big Cypress National Preserve, was conducted from 2002 to 2003. The goals of the project were to create a georeferenced inventory of amphibian species, use new analytical techniques to estimate proportion of sites occupied by each species, look for any signs of amphibian decline (missing species, disease, die-offs, and so forth.), and to establish a protocol that could be used for future monitoring efforts.\r\n\r\nSeveral sampling methods were used to accomplish these goals. Visual encounter surveys and anuran vocalization surveys were conducted in all habitats throughout the park to estimate the proportion of sites or proportion of area occupied (PAO) by each amphibian species in each habitat. Opportunistic collections, as well as limited drift fence data, were used to augment the visual encounter methods for highly aquatic or cryptic species. A total of 545 visits to 104 sites were conducted for standard sampling alone, and 2,358 individual amphibians and 374 reptiles were encountered. Data analysis was conducted in program PRESENCE to provide PAO estimates for each of the anuran species.\r\n\r\nAll of the amphibian species historically found in Big Cypress National Preserve were detected during this project. At least one individual of each of the four salamander species was captured during sampling. Each of the anuran species in the preserve was adequately sampled using standard herpetological sampling methods, and PAO estimates were produced for each species of anuran by habitat. This information serves as an indicator of habitat associations of the species and relative abundance of sites occupied, but it will also be useful as a comparative baseline for future monitoring efforts.\r\n\r\nIn addition to sampling for amphibians, all encounters with reptiles were documented. The sampling methods used for detecting amphibians are also appropriate for many reptile species. These reptile locations are included in this report, but the number of reptile observations was not sufficient to estimate PAO for reptile species. We encountered 35 of the 46 species of reptiles believed to be present in Big Cypress National Preserve during this study, and evidence exists of the presence of four other reptile species in the Preserve.\r\n\r\nThis study found no evidence of amphibian decline in Big Cypress National Preserve. Although no evidence of decline was observed, several threats to amphibians were identified. Introduced species, especially the Cuban treefrog (Osteopilus septentrionalis), are predators and competitors with several native frog species. The recreational use of off-road vehicles has the potential to affect some amphibian populations, and a study on those potential impacts is currently underway. Also, interference by humans with the natural hydrologic cycle of south Florida has the potential to alter the amphibian community.\r\n\r\nContinued monitoring of the amphibian species in Big Cypress National Preserve is recommended. The methods used in this study were adequate to produce reliable estimates of the proportion of sites occupied by most anuran species, and are a cost-effective means of determining the status of their populations.\r\n","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20051300","usgsCitation":"Rice, K.G., Waddle, J., Crockett, M.E., Jeffrey, B.M., Rice, A.N., and Percival, H.F., 2005, Herpetofaunal Inventories of the National Parks of South Florida and the Caribbean: Volume III. Big Cypress National Preserve (Revised and reprinted 2005): U.S. Geological Survey Open-File Report 2005-1300, Available on CD-ROM or online (156 p.), https://doi.org/10.3133/ofr20051300.","productDescription":"Available on CD-ROM or online (156 p.)","additionalOnlineFiles":"Y","costCenters":[{"id":136,"text":"Biology Discipline","active":false,"usgs":true}],"links":[{"id":125268,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2005_1300.jpg"},{"id":9836,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1300/","size":"1831","linkFileType":{"id":5,"text":"html"}}],"edition":"Revised and reprinted 2005","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635bbe","contributors":{"authors":[{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":286691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":89982,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","affiliations":[],"preferred":false,"id":286696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crockett, Marquette E.","contributorId":70067,"corporation":false,"usgs":true,"family":"Crockett","given":"Marquette","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":286695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jeffrey, Brian M.","contributorId":13708,"corporation":false,"usgs":true,"family":"Jeffrey","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":286693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rice, Amanda N.","contributorId":65181,"corporation":false,"usgs":true,"family":"Rice","given":"Amanda","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":286694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Percival, H. Franklin percivalf@usgs.gov","contributorId":2424,"corporation":false,"usgs":true,"family":"Percival","given":"H.","email":"percivalf@usgs.gov","middleInitial":"Franklin","affiliations":[],"preferred":true,"id":286692,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":74473,"text":"sim2910 - 2005 - Potentiometric surface of the alluvial aquifer and hydrologic conditions at the Rio Nigua de Salinas alluvial fan, Salinas, Puerto Rico, July 9-11, 2002","interactions":[],"lastModifiedDate":"2012-02-10T00:11:35","indexId":"sim2910","displayToPublicDate":"2006-02-19T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2910","title":"Potentiometric surface of the alluvial aquifer and hydrologic conditions at the Rio Nigua de Salinas alluvial fan, Salinas, Puerto Rico, July 9-11, 2002","language":"ENGLISH","doi":"10.3133/sim2910","usgsCitation":"Rodriguez, J.M., 2005, Potentiometric surface of the alluvial aquifer and hydrologic conditions at the Rio Nigua de Salinas alluvial fan, Salinas, Puerto Rico, July 9-11, 2002 (Online only): U.S. Geological Survey Scientific Investigations Map 2910, 1 map sheet, 36 x 25 in., https://doi.org/10.3133/sim2910.","productDescription":"1 map sheet, 36 x 25 in.","onlineOnly":"Y","costCenters":[],"links":[{"id":191304,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7572,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2005/2910/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -18,66.20138888888889 ], [ -18,66.30138888888888 ], [ -17.933333333333334,66.30138888888888 ], [ -17.933333333333334,66.20138888888889 ], [ -18,66.20138888888889 ] ] ] } } ] }","edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad4e4b07f02db682eba","contributors":{"authors":[{"text":"Rodriguez, Jose M. 0000-0002-4430-9929 jmrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-9929","contributorId":1318,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Jose","email":"jmrod@usgs.gov","middleInitial":"M.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286620,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":73933,"text":"sir20055244 - 2005 - Using hydrogeomorphic criteria to classify wetlands on Mt. Desert Island, Maine – Approach, classification system, and examples","interactions":[],"lastModifiedDate":"2024-03-04T20:21:39.323195","indexId":"sir20055244","displayToPublicDate":"2006-02-10T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5244","title":"Using hydrogeomorphic criteria to classify wetlands on Mt. Desert Island, Maine – Approach, classification system, and examples","docAbstract":"A wetland classification system was designed for Mt. Desert Island, Maine, to help categorize the large number of wetlands (over 1,200 mapped units) as an aid to understanding their hydrologic functions. The classification system, developed by the U.S. Geological Survey (USGS), in cooperation with the National Park Service, uses a modified hydrogeomorphic (HGM) approach, and assigns categories based on position in the landscape, soils and surficial geologic setting, and source of water. A dichotomous key was developed to determine a preliminary HGM classification of wetlands on the island. This key is designed for use with USGS topographic maps and 1:24,000 geographic information system (GIS) coverages as an aid to the classification, but may also be used with field data.\r\n\r\nHydrologic data collected from a wetland monitoring study were used to determine whether the preliminary classification of individual wetlands using the HGM approach yielded classes that were consistent with actual hydroperiod data. Preliminary HGM classifications of the 20 wetlands in the monitoring study were consistent with the field hydroperiod data. The modified HGM classification approach appears robust, although the method apparently works somewhat better with undisturbed wetlands than with disturbed wetlands. This wetland classification system could be applied to other hydrogeologically similar areas of northern New England.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20055244","usgsCitation":"Nielsen, M.G., Guntenspergen, G.R., and Neckles, H.A., 2005, Using hydrogeomorphic criteria to classify wetlands on Mt. Desert Island, Maine – Approach, classification system, and examples: U.S. Geological Survey Scientific Investigations Report 2005-5244, v, 27 p., https://doi.org/10.3133/sir20055244.","productDescription":"v, 27 p.","numberOfPages":"33","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":8755,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5244/","linkFileType":{"id":5,"text":"html"}},{"id":392972,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78140.htm"},{"id":193169,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Mt. Desert Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.44276428222656,\n              44.21666272899817\n            ],\n            [\n              -68.17153930664062,\n              44.21666272899817\n            ],\n            [\n              -68.17153930664062,\n              44.45534933372025\n            ],\n            [\n              -68.44276428222656,\n              44.45534933372025\n            ],\n            [\n              -68.44276428222656,\n              44.21666272899817\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a16e4b07f02db603cac","contributors":{"authors":[{"text":"Nielsen, Martha G. 0000-0003-3038-9400 mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":286497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":286498,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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