The Cu-Co ± Au (± Ag ± Ni ± REE) ore deposits of the Blackbird district, east-central Idaho, have previously been classified as Besshi-type VMS, sedex, and IOCG deposits within an intact stratigraphic section. New studies indicate that, across the district, mineralization was introduced into the country rocks as a series of structurally controlled vein and alteration systems. Quartz-rich and biotite-rich veins (and alteration zones) and minor albite and siderite veinlets maintain consistent order and sulfide mineral associations across the district. Both early and late quartz veins contain chalcopyrite and pyrite, whereas intermediate-stage tourmaline-biotite veins host the cobaltite. Barren early and late albite and late carbonate (generally siderite) form veins or are included in the quartz veins. REE minerals, principally monazite, allanite, and xenotime, are associated with both tourmaline-biotite and late quartz veins. The veins are in mineralized intervals along axial planar cleavage, intrafolial foliation, and shears.
\nMineralized intervals are hosted by a variety of metasedimentary rocks, including three phyllitic units of Mesoproterozoic age and two schistose units. All of these units are S-tectonites in the footwall of a regional thrust fault. Specifically, the district lies within an oblique thrust ramp containing a series of structural horses (three domains) in a duplex system. The deposits span the three domains and are hosted by metamorphic rocks that range from lower amphibolite facies in the structurally upper domain to lower-middle greenschist facies in the lower domain (an inverted metamorphic sequence). Early quartz and biotite veins were introduced during progressive folding and prolonged peak metamorphic conditions and they underwent late-tectonic retrograde recrystallization and metamorphic mineral growth, to the same extent as the country rocks in each domain. Where little subsequent deformation occurred, early veins are discordant to bedding but, where folding was polyphase and fabrics are penetrative, mineralized zones are concordant with metamorphic compositional layering. Late quartz veins in the zones are associated with retrograde minerals and textures and are only locally deformed. 40Ar/39Ar dating of unoriented muscovite from the selvage of a late quartz vein yields a Late Cretaceous age of about 83 Ma, the time of retrograde metamorphism associated with introduction of late quartz veins.
\nTextural data at all scales indicate that the host sites for veins and the tectonic evolution of both host rocks and mineral deposits were kinematically linked to Late Cretaceous regional thrust faulting. Heat, fluids, and conduits for generation and circulation of fluids were part of the regional crustal thickening. The faulting also juxtaposed metaevaporite layers in the Mesoproterozoic Yellowjacket Formation over Blackbird district host rocks. We conclude that this facilitated chemical exchange between juxtaposed units resulting in leaching of critical elements (Cl, K, B, Na) from metaevaporites to produce brines, scavenging of metals (Co, Cu, etc) from rocks in the region, and, finally, concentrating metals in the lower-plate ramp structures. Although the ultimate source of the metals remains undetermined, the present Cu-Co ± Au (± Ag ± Ni ± REE) Blackbird ore deposits formed during Late Cretaceous compressional deformation
.","language":"English","publisher":"Society of Economic Geologists","publisherLocation":"Littleton, CO","doi":"10.2113/econgeo.106.4.585","usgsCitation":"Lund, K., Tysdal, R.G., Evans, K.V., Kunk, M.J., and Pillers, R.M., 2011, Structural controls and evolution of gold-, silver-, and REE-bearing copper-cobalt ore deposits, Blackbird district, east-central Idaho: Epigenetic origins: Economic Geology, v. 106, no. 4, p. 585-618, https://doi.org/10.2113/econgeo.106.4.585.","productDescription":"34 p.","startPage":"585","endPage":"618","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":204205,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","volume":"106","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"505b9bd9e4b08c986b31d114","contributors":{"authors":[{"text":"Lund, K.","contributorId":49500,"corporation":false,"usgs":true,"family":"Lund","given":"K.","affiliations":[],"preferred":false,"id":350734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tysdal, Russell G.","contributorId":1700,"corporation":false,"usgs":true,"family":"Tysdal","given":"Russell","email":"","middleInitial":"G.","affiliations":[],"preferred":true,"id":350733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Karl V. kvevans@usgs.gov","contributorId":194,"corporation":false,"usgs":true,"family":"Evans","given":"Karl","email":"kvevans@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":350736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kunk, Michael J. 0000-0003-4424-7825 mkunk@usgs.gov","orcid":"https://orcid.org/0000-0003-4424-7825","contributorId":200968,"corporation":false,"usgs":true,"family":"Kunk","given":"Michael","email":"mkunk@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":350737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pillers, Renee M. 0000-0003-4929-1569 rpillers@usgs.gov","orcid":"https://orcid.org/0000-0003-4929-1569","contributorId":2501,"corporation":false,"usgs":true,"family":"Pillers","given":"Renee","email":"rpillers@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":350735,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70003792,"text":"70003792 - 2011 - Structural complexity, movement bias, and metapopulation extinction risk in dendritic ecological networks","interactions":[],"lastModifiedDate":"2021-05-17T15:31:26.89373","indexId":"70003792","displayToPublicDate":"2011-12-08T10:11:00","publicationYear":"2011","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":"Structural complexity, movement bias, and metapopulation extinction risk in dendritic ecological networks","docAbstract":"Spatial complexity in metacommunities can be separated into 3 main components: size (i.e., number of habitat patches), spatial arrangement of habitat patches (network topology), and diversity of habitat patch types. Much attention has been paid to lattice-type networks, such as patch-based metapopulations, but interest in understanding ecological networks of alternative geometries is building. Dendritic ecological networks (DENs) include some increasingly threatened ecological systems, such as caves and streams. The restrictive architecture of dendritic ecological networks might have overriding implications for species persistence. I used a modeling approach to investigate how number and spatial arrangement of habitat patches influence metapopulation extinction risk in 2 DENs of different size and topology. Metapopulation persistence was higher in larger networks, but this relationship was mediated by network topology and the dispersal pathways used to navigate the network. Larger networks, especially those with greater topological complexity, generally had lower extinction risk than smaller and less-complex networks, but dispersal bias and magnitude affected the shape of this relationship. Applying these general results to real systems will require empirical data on the movement behavior of organisms and will improve our understanding of the implications of network complexity on population and community patterns and processes.
","language":"English","publisher":"Society for Freshwater Science","publisherLocation":"Waco, Texas","doi":"10.1899/09-120.1","usgsCitation":"Campbell Grant, E., 2011, Structural complexity, movement bias, and metapopulation extinction risk in dendritic ecological networks: Journal of the North American Benthological Society, v. 30, no. 1, p. 252-258, https://doi.org/10.1899/09-120.1.","productDescription":"7 p.","startPage":"252","endPage":"258","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204173,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9bd3e4b08c986b31d0f4","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":348885,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005561,"text":"70005561 - 2011 - Survival and growth of newly transformed Lampsilis cardium and Lampsilis siliquoidea in a flow-through, continuous feeding test system","interactions":[],"lastModifiedDate":"2017-01-12T11:45:27","indexId":"70005561","displayToPublicDate":"2011-12-08T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":735,"text":"American Malacological Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Survival and growth of newly transformed Lampsilis cardium and Lampsilis siliquoidea in a flow-through, continuous feeding test system","docAbstract":"A test system was evaluated for assessing chronic toxicity of waterborne chemicals with early life stage mussels. To determine if the test system could result in ≥80% survival in a control (unexposed) group, fat mucket mussels (Lampsilis siliquoidea Barnes, 1823) and plain pocketbook mussels (L. cardium Rafinesque, 1820) 1 day post transformation were stocked into test chambers (250 mL beakers, water volume, 200 mL, 21 °C, 40 mussels of 1 species per chamber) within a test system constructed for conducting chronic, continuous exposure, flow-through toxicity tests. The test system contained 60 chambers containing silica sand, 30 chambers with L. siliquoidea, and 30 with L. cardium. Each chamber in the continuous feeding system received 1 of 6 food types prepared with concentrated algal products. After 28 days, mussels were harvested from chambers to assess survival and growth. For L. siliquoidea, mean survival ranged from 34 to 80% and mean shell length ranged from 464 to 643 µm. For L. cardium, mean survival ranged from 12 to 66% and mean shell length ranged from 437 to 612 µm. The maximum mean growth rate for L. siliquoidea was 12.7 µm/d and for L. cardium was 11.8 µm/d. When offered a continuous diet of Nannochloropsis, Tetraselmis, and Chlorella for 28 days in the test system, the survival of 1 day post transformation L. siliquoidea was 80%. The test system can be easily enhanced with a pumping system continuously delivering test chemical to the test system's flow stream allowing for chronic toxicity tests with 1 day post transformation mussels.
","language":"English","publisher":"American Malacological Society","publisherLocation":"Hattiesburg, MS","doi":"10.4003/006.029.0220","usgsCitation":"Meinertz, J.R., Schreier, T.M., Hess, K.R., and Bartsch, M., 2011, Survival and growth of newly transformed Lampsilis cardium and Lampsilis siliquoidea in a flow-through, continuous feeding test system: American Malacological Bulletin, v. 29, no. 1-2, p. 69-75, https://doi.org/10.4003/006.029.0220.","productDescription":"7 p.","startPage":"69","endPage":"75","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":204292,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba2b1e4b08c986b31f8b5","contributors":{"authors":[{"text":"Meinertz, Jeffery R. 0000-0002-8855-2648 jmeinertz@usgs.gov","orcid":"https://orcid.org/0000-0002-8855-2648","contributorId":2495,"corporation":false,"usgs":true,"family":"Meinertz","given":"Jeffery","email":"jmeinertz@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreier, Theresa M. 0000-0001-7722-6292 tschreier@usgs.gov","orcid":"https://orcid.org/0000-0001-7722-6292","contributorId":3344,"corporation":false,"usgs":true,"family":"Schreier","given":"Theresa","email":"tschreier@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hess, Karina R.","contributorId":50792,"corporation":false,"usgs":true,"family":"Hess","given":"Karina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":352812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartsch, Michelle 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":3165,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352810,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70003623,"text":"70003623 - 2011 - Stage structure alters how complexity affects stability of ecological networks","interactions":[],"lastModifiedDate":"2021-02-12T22:08:45.074642","indexId":"70003623","displayToPublicDate":"2011-12-06T14:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Stage structure alters how complexity affects stability of ecological networks","docAbstract":"Resolving how complexity affects stability of natural communities is of key importance for predicting the consequences of biodiversity loss. Central to previous stability analysis has been the assumption that the resources of a consumer are substitutable. However, during their development, most species change diets; for instance, adults often use different resources than larvae or juveniles. Here, we show that such ontogenetic niche shifts are common in real ecological networks and that consideration of these shifts can alter which species are predicted to be at risk of extinction. Furthermore, niche shifts reduce and can even reverse the otherwise stabilizing effect of complexity. This pattern arises because species with several specialized life stages appear to be generalists at the species level but act as sequential specialists that are hypersensitive to resource loss. These results suggest that natural communities are more vulnerable to biodiversity loss than indicated by previous analyses.","language":"English","publisher":"Wiley","doi":"10.1111/j.1461-0248.2010.01558.x","usgsCitation":"Rudolf, V.H., and Lafferty, K.D., 2011, Stage structure alters how complexity affects stability of ecological networks: Ecology Letters, v. 14, no. 1, p. 75-79, https://doi.org/10.1111/j.1461-0248.2010.01558.x.","productDescription":"5 p.","startPage":"75","endPage":"79","numberOfPages":"5","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204484,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-11-30","publicationStatus":"PW","scienceBaseUri":"505b9696e4b08c986b31b5d2","contributors":{"authors":[{"text":"Rudolf, V. H. W.","contributorId":6182,"corporation":false,"usgs":false,"family":"Rudolf","given":"V.","email":"","middleInitial":"H. W.","affiliations":[],"preferred":false,"id":347993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":347992,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003614,"text":"70003614 - 2011 - Sperm quality assessments for endangered razorback suckers Xyrauchen texanus","interactions":[],"lastModifiedDate":"2021-05-20T22:19:56.817308","indexId":"70003614","displayToPublicDate":"2011-12-06T11:51:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3259,"text":"Reproduction","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sperm quality assessments for endangered razorback suckers Xyrauchen Texanus","title":"Sperm quality assessments for endangered razorback suckers Xyrauchen texanus","docAbstract":"Flow cytometry (FCM) and computer-assisted sperm motion analysis (CASA) methods were developed and validated for use with endangered razorback suckers Xyrauchen texanus collected (n=64) during the 2006 spawning season. Sperm motility could be activated within osmolality ranges noted during milt collections (here 167–343 mOsm/kg). We hypothesized that sperm quality of milt collected into isoosmotic (302 mOsm/kg) or hyperosmotic (500 mOsm/kg) Hanks' balanced salt solution would not differ. Pre-freeze viabilities were similar between osmolalities (79%±6 (S.E.M.) and 76%±7); however, post-thaw values were greater in hyperosmotic buffer (27%±3 and 12%±2; P=0.0065), as was mitochondrial membrane potential (33%±4 and 13%±2; P=0.0048). Visual estimates of pre-freeze motility correlated with total (r=0.7589; range 23–82%) and progressive motility (r=0.7449) by CASA and were associated with greater viability (r=0.5985; P<0.0001). Count (FCM) was negatively correlated with post-thaw viability (r=-0.83; P=0.0116) and mitochondrial function (r=-0.91; P=0.0016). By FCM-based assessments of DNA integrity, whereby increased fluorochrome binding indicated more fragmentation, higher levels were negatively correlated with count (r=-0.77; P<0.0001) and pre-freeze viabilities (r=-0.66; P=0.0004). Fragmentation was higher in isotonic buffer (P=0.0234). To increase reproductive capacity of natural populations, the strategy and protocols developed can serve as a template for use with other imperiled fish species, biomonitoring, and genome banking.","language":"English","publisher":"Society for Reproduction and Fertility","doi":"10.1530/REP-10-0153","usgsCitation":"Jenkins, J.A., Eilts, B.E., Guitreau, A.M., Figiel, C.R., Draugelis-Dale, R.O., and Tiersch, T.R., 2011, Sperm quality assessments for endangered razorback suckers Xyrauchen texanus: Reproduction, v. 141, no. 1, p. 55-65, https://doi.org/10.1530/REP-10-0153.","productDescription":"11 p.","startPage":"55","endPage":"65","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":474853,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1530/rep-10-0153","text":"Publisher Index Page"},{"id":204207,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b95bce4b08c986b31b0bb","contributors":{"authors":[{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":347960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eilts, Bruce E. 0000-0003-1087-0328","orcid":"https://orcid.org/0000-0003-1087-0328","contributorId":9388,"corporation":false,"usgs":true,"family":"Eilts","given":"Bruce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":347961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guitreau, Amy M.","contributorId":41572,"corporation":false,"usgs":true,"family":"Guitreau","given":"Amy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":347963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Figiel, Chester R.","contributorId":73329,"corporation":false,"usgs":true,"family":"Figiel","given":"Chester","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":347964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Draugelis-Dale, Rassa O. 0000-0001-8532-3287 daler@usgs.gov","orcid":"https://orcid.org/0000-0001-8532-3287","contributorId":20422,"corporation":false,"usgs":true,"family":"Draugelis-Dale","given":"Rassa","email":"daler@usgs.gov","middleInitial":"O.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":347962,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tiersch, Terrence R. 0000-0002-7738-1978","orcid":"https://orcid.org/0000-0002-7738-1978","contributorId":93616,"corporation":false,"usgs":true,"family":"Tiersch","given":"Terrence","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":347965,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70004048,"text":"70004048 - 2011 - Forest species diversity reduces disease risk in a generalist plant pathogen invasion","interactions":[],"lastModifiedDate":"2017-05-10T10:20:33","indexId":"70004048","displayToPublicDate":"2011-12-06T10:39:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Forest species diversity reduces disease risk in a generalist plant pathogen invasion","docAbstract":"Empirical evidence suggests that biodiversity loss can increase disease transmission, yet our understanding of the 'diversity-disease hypothesis' for generalist pathogens in natural ecosystems is limited. We used a landscape epidemiological approach to examine two scenarios regarding diversity effects on the emerging plant pathogen Phytophthora ramorum across a broad, heterogeneous ecoregion: (1) an amplification effect exists where disease risk is greater in areas with higher plant diversity due to the pathogen's wide host range, or (2) a dilution effect where risk is reduced with increasing diversity due to lower competency of alternative hosts. We found evidence for pathogen dilution, whereby disease risk was lower in sites with higher species diversity, after accounting for potentially confounding effects of host density and landscape heterogeneity. Our results suggest that although nearly all plants in the ecosystem are hosts, alternative hosts may dilute disease transmission by competent hosts, thereby buffering forest health from infectious disease.
","language":"English","publisher":"Blackwell Publishing","doi":"10.1111/j.1461-0248.2011.01679.x","usgsCitation":"Haas, S.E., Hooten, M., Rizzo, D.M., and Meentemeyer, R.K., 2011, Forest species diversity reduces disease risk in a generalist plant pathogen invasion: Ecology Letters, v. 14, no. 11, p. 1108-1116, https://doi.org/10.1111/j.1461-0248.2011.01679.x.","productDescription":"9 p.","startPage":"1108","endPage":"1116","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029554","costCenters":[],"links":[{"id":204528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"11","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"505a1338e4b0c8380cd54581","contributors":{"authors":[{"text":"Haas, Sarah E.","contributorId":75265,"corporation":false,"usgs":true,"family":"Haas","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":350338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":350336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rizzo, David M.","contributorId":26428,"corporation":false,"usgs":true,"family":"Rizzo","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":350337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meentemeyer, Ross K.","contributorId":78081,"corporation":false,"usgs":true,"family":"Meentemeyer","given":"Ross","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":350339,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70006219,"text":"70006219 - 2011 - Risk assessment, eradication, and biological control: Global efforts to limit Australian acacia invasions","interactions":[],"lastModifiedDate":"2021-01-07T21:14:16.323313","indexId":"70006219","displayToPublicDate":"2011-12-06T10:33:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Risk assessment, eradication, and biological control: Global efforts to limit Australian acacia invasions","docAbstract":"Aim Many Australian Acacia species have been planted around the world, some are highly valued, some are invasive, and some are both highly valued and invasive. We review global efforts to minimize the risk and limit the impact of invasions in this widely used plant group.
Location Global.
Methods Using information from literature sources, knowledge and experience of the authors, and the responses from a questionnaire sent to experts around the world, we reviewed: (1) a generalized life cycle of Australian acacias and how to control each life stage, (2) different management approaches and (3) what is required to help limit or prevent invasions.
Results Relatively few Australian acacias have been introduced in large numbers, but all species with a long and extensive history of planting have become invasive somewhere. Australian acacias, as a group, have a high risk of becoming invasive and causing significant impacts as determined by existing assessment schemes. Moreover, in most situations, long‐lived seed banks mean it is very difficult to control established infestations. Control has focused almost exclusively on widespread invaders, and eradication has rarely been attempted. Classical biological control is being used in South Africa with increasing success.
Main conclusions A greater emphasis on pro‐active rather than reactive management is required given the difficulties managing established invasions of Australian acacias. Adverse effects of proposed new introductions can be minimized by conducting detailed risk assessments in advance, planning for on‐going monitoring and management, and ensuring resources are in place for long‐term mitigation. Benign alternatives (e.g. sterile hybrids) could be developed to replace existing utilized taxa. Eradication should be set as a management goal more often to reduce the invasion debt. Introducing classical biological control agents that have a successful track‐record in South Africa to other regions and identifying new agents (notably vegetative feeders) can help mitigate existing widespread invasions. Trans‐boundary sharing of information will assist efforts to limit future invasions, in particular, management strategies need to be better evaluated, monitored, published and publicised so that global best‐practice procedures can be developed.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1472-4642.2011.00815.x","usgsCitation":"Wilson, J.R., Gairifo, C., Gibson, M.R., Arianoutsou, M., Bakar, B.B., Baret, S., Celesti-Grapow, L., DiTomaso, J.M., Dufour-Dror, J., Kueffer, C., Kull, C.A., Hoffman, J., Impson, F.A., Loope, L.L., Marchante, E., Harchante, H., Moore, J.L., Murphy, D.J., Tassin, J., Witt, A., Zenni, R.D., and Richardson, D.M., 2011, Risk assessment, eradication, and biological control: Global efforts to limit Australian acacia invasions: Diversity and Distributions, v. 17, no. 5, p. 1030-1046, https://doi.org/10.1111/j.1472-4642.2011.00815.x.","productDescription":"17 p.","startPage":"1030","endPage":"1046","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":474854,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1472-4642.2011.00815.x","text":"Publisher Index Page"},{"id":204527,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-08","publicationStatus":"PW","scienceBaseUri":"505aad93e4b0c8380cd86f19","contributors":{"authors":[{"text":"Wilson, John R.U. 0000-0001-6752-4069 jtwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-6752-4069","contributorId":20063,"corporation":false,"usgs":true,"family":"Wilson","given":"John","email":"jtwilson@usgs.gov","middleInitial":"R.U.","affiliations":[],"preferred":false,"id":354097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gairifo, Carla","contributorId":57203,"corporation":false,"usgs":true,"family":"Gairifo","given":"Carla","email":"","affiliations":[],"preferred":false,"id":354103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibson, Michelle R.","contributorId":82450,"corporation":false,"usgs":true,"family":"Gibson","given":"Michelle","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":354109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arianoutsou, Margarita","contributorId":81626,"corporation":false,"usgs":true,"family":"Arianoutsou","given":"Margarita","email":"","affiliations":[],"preferred":false,"id":354108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bakar, Baki B.","contributorId":35457,"corporation":false,"usgs":true,"family":"Bakar","given":"Baki","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":354102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baret, Stephane","contributorId":33046,"corporation":false,"usgs":true,"family":"Baret","given":"Stephane","email":"","affiliations":[],"preferred":false,"id":354101,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Celesti-Grapow, Laura","contributorId":28735,"corporation":false,"usgs":true,"family":"Celesti-Grapow","given":"Laura","email":"","affiliations":[],"preferred":false,"id":354098,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DiTomaso, Joseph M.","contributorId":72925,"corporation":false,"usgs":true,"family":"DiTomaso","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":354106,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dufour-Dror, Jean-Marc","contributorId":59935,"corporation":false,"usgs":true,"family":"Dufour-Dror","given":"Jean-Marc","email":"","affiliations":[],"preferred":false,"id":354104,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kueffer, Christoph","contributorId":31519,"corporation":false,"usgs":true,"family":"Kueffer","given":"Christoph","email":"","affiliations":[],"preferred":false,"id":354100,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kull, Christian A.","contributorId":14941,"corporation":false,"usgs":false,"family":"Kull","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":354094,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hoffman, John H.","contributorId":96407,"corporation":false,"usgs":true,"family":"Hoffman","given":"John H.","affiliations":[],"preferred":false,"id":354111,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Impson, Fiona A.C.","contributorId":108242,"corporation":false,"usgs":true,"family":"Impson","given":"Fiona","email":"","middleInitial":"A.C.","affiliations":[],"preferred":false,"id":354113,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Loope, Lloyd L.","contributorId":107848,"corporation":false,"usgs":true,"family":"Loope","given":"Lloyd","email":"","middleInitial":"L.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":354112,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Marchante, Elizabete","contributorId":16566,"corporation":false,"usgs":true,"family":"Marchante","given":"Elizabete","email":"","affiliations":[],"preferred":false,"id":354095,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Harchante, Helia","contributorId":19701,"corporation":false,"usgs":true,"family":"Harchante","given":"Helia","email":"","affiliations":[],"preferred":false,"id":354096,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Moore, Joslin L.","contributorId":90456,"corporation":false,"usgs":true,"family":"Moore","given":"Joslin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":354110,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Murphy, Daniel J.","contributorId":78080,"corporation":false,"usgs":true,"family":"Murphy","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":354107,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Tassin, Jacques","contributorId":14564,"corporation":false,"usgs":true,"family":"Tassin","given":"Jacques","email":"","affiliations":[],"preferred":false,"id":354092,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Witt, Arne","contributorId":29948,"corporation":false,"usgs":true,"family":"Witt","given":"Arne","email":"","affiliations":[],"preferred":false,"id":354099,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Zenni, Rafael D.","contributorId":69291,"corporation":false,"usgs":true,"family":"Zenni","given":"Rafael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":354105,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Richardson, David M.","contributorId":14565,"corporation":false,"usgs":true,"family":"Richardson","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":354093,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70191496,"text":"70191496 - 2011 - Was pre–twentieth century sea level stable?","interactions":[],"lastModifiedDate":"2020-05-27T14:19:18.664539","indexId":"70191496","displayToPublicDate":"2011-12-06T09:16:35","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Was pre–twentieth century sea level stable?","docAbstract":"Sea level rise (SLR) ranks high on the list of climate change issues because the expected acceleration from the current rate (about 3.1 millimeters per year) poses threats to coastal regions. Tide gauge, salt marsh, and archaeological records, and modeling of glacioisostatic adjustment (GIA) have led to the widely accepted idea that late Holocene (the past ∼2000 years) sea level was stable prior to acceleration beginning around 1850–1900 C.E. For instance, according to the Intergovernmental Panel on Climate Change Fourth Assessment Report, before the last century, sea level had “stabilized” over the past 2000 years, rising at a mean rate of 0–0.2 millimeter per year [Bindoff et al. , 2007]. Others maintain that sea level was “nearly stable” over the past few thousand years [Nicholls and Cazenave , 2010], pre–twentieth century rates were “close to zero” [Church et al. , 2008], or “stable from at least BC 100 until AD 950” and “stable, or slightly falling” from 1350 until the nineteenth century [Kemp et al. , 2011].
","language":"English","publisher":"American Geological Union","doi":"10.1029/2011EO490009","usgsCitation":"Cronin, T.M., 2011, Was pre–twentieth century sea level stable?: Eos, Transactions, American Geophysical Union, v. 92, no. 49, p. 455-456, https://doi.org/10.1029/2011EO490009.","productDescription":"2 p.","startPage":"455","endPage":"456","ipdsId":"IP-030585","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":474855,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011eo490009","text":"Publisher Index Page"},{"id":375074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"49","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":712445,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70006167,"text":"ds655 - 2011 - Sources and preparation of data for assessing trends in concentrations of pesticides in streams of the United States, 1992–2010","interactions":[],"lastModifiedDate":"2013-06-04T13:16:00","indexId":"ds655","displayToPublicDate":"2011-12-06T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"655","title":"Sources and preparation of data for assessing trends in concentrations of pesticides in streams of the United States, 1992–2010","docAbstract":"This report updates a previously published water-quality dataset of 44 commonly used pesticides and 8 pesticide degradates suitable for a national assessment of trends in pesticide concentrations in streams of the United States. Water-quality samples collected from January 1992 through September 2010 at stream-water sites of the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program and the National Stream Quality Accounting Network (NASQAN) were compiled, reviewed, selected, and prepared for trend analysis. The principal steps in data review for trend analysis were to (1) identify analytical schedule, (2) verify sample-level coding, (3) exclude inappropriate samples or results, (4) review pesticide detections per sample, (5) review high pesticide concentrations, and (6) review the spatial and temporal extent of NAWQA pesticide data and selection of analytical methods for trend analysis. The principal steps in data preparation for trend analysis were to (1) select stream-water sites for trend analysis, (2) round concentrations to a consistent level of precision for the concentration range, (3) identify routine reporting levels used to report nondetections unaffected by matrix interference, (4) reassign the concentration value for routine nondetections to the maximum value of the long-term method detection level (maxLT-MDL), (5) adjust concentrations to compensate for temporal changes in bias of recovery of the gas chromatography/mass spectrometry (GCMS) analytical method, and (6) identify samples considered inappropriate for trend analysis. Samples analyzed at the USGS National Water Quality Laboratory (NWQL) by the GCMS analytical method were the most extensive in time and space and, consequently, were selected for trend analysis. Stream-water sites with 3 or more water years of data with six or more samples per year were selected for pesticide trend analysis. The selection criteria described in the report produced a dataset of 21,988 pesticide samples at 212 stream-water sites. Only 21,144 pesticide samples, however, are considered appropriate for trend analysis.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds655","usgsCitation":"Martin, J.D., Eberle, M., and Nakagaki, N., 2011, Sources and preparation of data for assessing trends in concentrations of pesticides in streams of the United States, 1992–2010: U.S. Geological Survey Data Series 655, vi, 22 p.; Appendices, https://doi.org/10.3133/ds655.","productDescription":"vi, 22 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":533,"text":"Pesticide National Synthesis Project","active":false,"usgs":true}],"links":[{"id":116743,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_655.gif"},{"id":111003,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/655/","linkFileType":{"id":5,"text":"html"}},{"id":273224,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds655_basins.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49 ], [ -66.95,49 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b935ce4b08c986b31a45a","contributors":{"authors":[{"text":"Martin, Jeffrey D. 0000-0003-1994-5285 jdmartin@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-5285","contributorId":1066,"corporation":false,"usgs":true,"family":"Martin","given":"Jeffrey","email":"jdmartin@usgs.gov","middleInitial":"D.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":353981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberle, Michael","contributorId":39770,"corporation":false,"usgs":true,"family":"Eberle","given":"Michael","email":"","affiliations":[],"preferred":false,"id":353983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nakagaki, Naomi 0000-0003-3653-0540 nakagaki@usgs.gov","orcid":"https://orcid.org/0000-0003-3653-0540","contributorId":1067,"corporation":false,"usgs":true,"family":"Nakagaki","given":"Naomi","email":"nakagaki@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353982,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70006172,"text":"ds654 - 2011 - Thermal profiles for selected river reaches in the Stillaguamish River basin, Washington, August 2011","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ds654","displayToPublicDate":"2011-12-06T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"654","title":"Thermal profiles for selected river reaches in the Stillaguamish River basin, Washington, August 2011","docAbstract":"Datums\nHorizontal coordinate information is referenced to the North American Datum of 1983 (NAD 83).\nAbstract\nLongitudinal profiles of near-streambed temperature were collected for eight river reaches in the Stillaguamish River basin, Washington, during August 2011, to provide information about areas of groundwater discharge to streams. During summer, groundwater discharge can be a source of cold water to streams that regulates warm stream temperatures creating cold-water thermal refugia for native stream biota including salmon and trout. To assess areas of groundwater discharge to streams, temperature was measured using a probe with an internal datalogger towed behind a watercraft moving downstream at ambient stream velocity. The data were referenced to location, concurrently surveyed with a Global Positioning System, during collection of the water temperature data. Data are presented as Microsoft Excel® files consisting of date and time, near-streambed water temperature, and latitude and longitude.\nIntroduction\nLongitudinal profiles of near-streambed temperatures surveyed at ambient river velocity in a Lagrangian framework provide information about potential areas of groundwater discharge as well as salmonid habitat and thermal refugia (Vaccaro and Maloy, 2006). Longitudinal thermal profiles have previously been surveyed in several rivers in Washington, including the Yakima River and tributaries (Vaccaro and others, 2008) and the Nooksack River (Cox and others, 2005). This report presents eight thermal profiles within the Stillaguamish River basin including parts of the North Fork Stillaguamish River, South Fork Stillaguamish River, Jim Creek, and Pilchuck Creek (fig. 1). This data augments previous investigations of longitudinal temperature variations within the Stillaguamish River and tributaries by thermal infrared radar by the Washington State Department of Ecology (Watershed Sciences, 2002), and may be used as a tool to develop a better understanding of groundwater/surface-water interactions within the Stillaguamish River basin.\nPurpose and Scope\nThe purpose of this report is to present longitudinal thermal profiles of stream temperature of streams within the Stillaguamish River basin including the North Fork Stillaguamish River, the South Fork Stillaguamish River, Pilchuck Creek, and Jim Creek. This data may be used to determine zones of groundwater discharge and improve understanding of the relation between the groundwater and surface water systems of the Stillaguamish River basin.\nDescription of Study Area\nThe Stillaguamish River basin is in northwestern Washington and is bounded to the east by the Cascade Mountains, to the west by Puget Sound, to the north by the Skagit River basin, and to the south by the Snohomish River basin (fig. 1). The Stillaguamish River basin is characterized by cool, wet winters and warm, dry summers. Mean annual discharge of the North Fork Stillaguamish River (North Fork Stillaguamish River near Arlington, Washington, USGS gaging station 12167000) for water years 1929-2010 is 1,898 ft3/s and mean annual discharge of the South Fork Stillaguamish River (South Fork Stillaguamish River near Granite Falls, Washington gaging station 12161000) for water years 1929-1980 is 1,071 ft3/s. Jim Creek is a tributary of the South Fork Stillaguamish River and Pilchuck Creek is a tributary of the mainstem Stillaguamish River.\nThermal Profile Survey\nContinuous water temperature and Global Positioning System (GPS) data were collected at 3-second intervals while drifting downstream at ambient stream velocity in a Lagrangian framework following the method of Vaccaro and Maloy (2006) for Pilchuck Creek between river mile (RM) 0.0 and 3.7 (table 1); the North Fork Stillaguamish River between RM 0.0 and 34.2 (tables 2-5); South Fork Stillaguamish River between RM 17.7 and 33.4 (tables 6-7); and Jim Creek between RM 0.0 and 7.0 (table 8). Profiling at ambient stream velocity in a Lagrangian framework tracks a parcel of water as it moves downstream during the day; departures from the diurnal heating cycle may be due to groundwater input, surface-water inflows, or riparian shading. Continuous temperature was measured using a Solinst® Levelogger LT temperature probe verified by a National Institute of Standards and Technology (NIST) certified thermistor and position data was measured using a Garmin® GPSmap® 60Csx for the eight surveys during August 15-26, 2011. The temperature probe was towed behind a watercraft following the stream thalweg and dragged along the streambed except when in-stream obstacles prevented probe movement downstream. The location of each temperature measurement was determined by relating the time stamp of the GPS data to the temperature data. If a GPS location was not recorded at the same time as a temperature measurement, the location of the temperature measurement was determined by linear interpolation of the two GPS known locations that bracket the time of the temperature measurement. A 0.5-mi gap exists between the beginning of the North Fork Stillaguamish datasets collected on August 18 (table 4) and August 22 (table 5) because of inadequate equilibration of the temperature probe to ambient stream temperature during the initial 0.5 mi of the August 22 survey.\nDistribution of Information\nAn Excel file of tables 1-8 that include the thermal-profile data for each longitudinal thermal profile is available at http://pubs.usgs.gov/ds/654/ds654_tables.xls.\nTable 1. Temperature and Global Positioning System location data for the Pilchuck Creek (RM 0.0-3.7), August 15, 2011.\nTable 2. Temperature and Global Positioning System location data for the North Fork Stillaguamish River (RM 30.0-34.2), August 16, 2011.\nTable 3. Temperature and Global Positioning System location data for the North Fork Stillaguamish River (RM 17.6-30.0), August 17, 2011.\nTable 4. Temperature and Global Positioning System location data for the North Fork Stillaguamish River (RM 9.5-17.6), August 18, 2011.\nTable 5. Temperature and Global Positioning System location data for the North Fork Stillaguamish River (RM 0.0-9.0), August 22, 2011.\nTable 6. Temperature and Global Positioning System location data for the South Fork Stillaguamish River (RM 25.9-33.4), August 24, 2011.\nTable 7. Temperature and Global Positioning System location data for the South Fork Stillaguamish River (RM 17.7-25.9), August 26, 2011.\nTable 8. Temperature and Global Positioning System location data for Jim Creek (RM 0.0-7.0), August 25, 2011.\nReferences Cited\nCox, S.E., Simonds, F.W., Doremus, L., Huffman, R.L., and Defawe, R.M., 2005, Ground water/surface water interactions and quality of discharging ground water in streams of the lower Nooksack River Basin, Whatcom County, Washington: U.S. Geological Survey Scientific Investigations Report 2005-5255, 46 p\nVaccaro, J.J., Keys, M.E., Julich, R.J., and Welch, W.B., 2008, Thermal profiles for selected river reaches in the Yakima River basin, Washington: U.S. Geological Survey Data Series 342 (Available at http://pubs.usgs.gov/ds/342/).\nVaccaro, J.J., and Maloy, K.J., 2006, A thermal profile method to identify potential ground-water discharge areas and preferred salmonid habitats for long river reaches: U.S. Geological Survey Scientific Investigations Report 2006-5136, 16 p.\nWatershed Sciences, LLC, 2002, Aerial surveys in the Stillaguamish and Skagit River Basins-Thermal infrared and color videography: Corvallis, Oreg., Water Sciences, for Washington Department of Ecology, 28 p.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds654","usgsCitation":"Gandaszek, A.S., 2011, Thermal profiles for selected river reaches in the Stillaguamish River basin, Washington, August 2011: U.S. Geological Survey Data Series 654, iv, 33 p., https://doi.org/10.3133/ds654.","productDescription":"iv, 33 p.","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":116747,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_654.png"},{"id":111007,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/654/","linkFileType":{"id":5,"text":"html"}}],"state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,48.083333333333336 ], [ -122.5,48.416666666666664 ], [ -121.5,48.416666666666664 ], [ -121.5,48.083333333333336 ], [ -122.5,48.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb250e4b08c986b325703","contributors":{"authors":[{"text":"Gandaszek, Andrew S.","contributorId":97619,"corporation":false,"usgs":true,"family":"Gandaszek","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":353990,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70006164,"text":"ds644 - 2011 - Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ds644","displayToPublicDate":"2011-12-06T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"644","title":"Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June 2009","docAbstract":"Previous investigations indicate that natural attenuation and biodegradation of chlorinated volatile organic compounds (VOCs) are substantial in groundwater beneath the 9-acre former landfill at Operable Unit 1 (OU 1), Naval Undersea Warfare Center, Division Keyport, Washington. Phytoremediation combined with ongoing natural attenuation processes was the preferred remedy selected by the U.S. Navy, as specified in the Record of Decision for the site. The U.S. Navy planted two hybrid poplar plantations on the landfill in spring 1999 to remove and to control the migration of chlorinated VOCs in shallow groundwater. The U.S. Geological Survey (USGS) has continued to monitor groundwater geochemistry to ensure that conditions remain favorable for contaminant biodegradation as specified in the Record of Decision. This report presents groundwater geochemical and selected VOC data collected at OU 1 by the USGS during June 15-17, 2009, in support of long-term monitoring for natural attenuation. For 2009, groundwater samples were collected from 13 wells and 9 piezometers. Samples from all wells and piezometers were analyzed for redox sensitive constituents, and samples from 10 of 18 upper-aquifer wells and piezometers and 3 of 4 intermediate-aquifer wells also were analyzed for chlorinated VOCs. Concentrations of redox sensitive constituents measured in 2009 were consistent with previous years, with dissolved hydrogen (H2) concentrations ranging from less than 0.1 to 1.8 nanomolar (nM), dissolved oxygen concentrations all at 0.6 milligram per liter or less; little to no detectable nitrate; abundant dissolved manganese, iron, and methane; and commonly detected sulfide. The reductive declorination byproducts-methane, ethane, and ethene-were not detected in samples collected from the upgradient wells in the landfill or the upper aquifer beneath the northern phytoremediation plantation. Chlorinated VOC concentrations in 2009 at most piezometers were similar to or slightly less than chlorinated VOC concentrations measured in previous years. In 2009, concentrations of reductive dechlorination byproducts ethane and ethene were less than those measured in 2008 at most northern plantation wells and piezometers. For the upper aquifer beneath the southern phytoremediation plantation, chlorinated VOC concentrations in 2009 at the piezometers were extremely high and continued to vary considerably over space and between years. At piezometer P1-9, the total chlorinated VOC concentration increased from 25,000 micrograms per liter in 2008 to more than 172,000 micrograms per liter in 2009. At piezometer P1-7 in 2009, the concentrations of trichloroethene and cis-1,2-dichloroethene (cis-DCE) were the highest to date. The reductive dechlorination byproducts ethane and ethene were detected at all wells and piezometers in the southern plantation with the exception of piezometer P1-8, although the measured concentrations were not consistently high. For the intermediate aquifer, concentrations of redox sensitive constituents and VOCs in 2009 at wells MW1-25, MW1-28, and MW1-39 were consistent with concentrations measured in previous years. Concentrations of the reductive dechlorination byproducts ethane and ethene at wells MW1-25 and MW1-28 were equal to or greater than previously measured concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds644","collaboration":"Prepared in cooperation with Department of the Navy, Naval Facilities Engineering Command, Northwest","usgsCitation":"Huffman, R., and Dinicola, R., 2011, Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June 2009: U.S. Geological Survey Data Series 644, iv, 38 p., https://doi.org/10.3133/ds644.","productDescription":"iv, 38 p.","numberOfPages":"38","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":116692,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_644.jpg"},{"id":111001,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/644/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.63388888888889,47.683611111111105 ], [ -122.63388888888889,47.70111111111111 ], [ -122.60083333333333,47.70111111111111 ], [ -122.60083333333333,47.683611111111105 ], [ -122.63388888888889,47.683611111111105 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2da5e4b0c8380cd5bf80","contributors":{"authors":[{"text":"Huffman, R.L.","contributorId":44956,"corporation":false,"usgs":true,"family":"Huffman","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":353979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dinicola, R.S.","contributorId":64290,"corporation":false,"usgs":true,"family":"Dinicola","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":353980,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70006169,"text":"fs20113095 - 2011 - Evaluation of fecal contamination by human and ruminant sources in upper Fountain Creek, Colorado, 2007-2008, by using multiple lines of evidence:","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"fs20113095","displayToPublicDate":"2011-12-06T00:00:00","publicationYear":"2011","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":"2011-3095","title":"Evaluation of fecal contamination by human and ruminant sources in upper Fountain Creek, Colorado, 2007-2008, by using multiple lines of evidence:","docAbstract":"Fountain Creek is a high-gradient stream on the Front Range of the Rocky Mountains in Colorado. The headwaters of Fountain Creek drain Pikes Peak, a major destination for tourism. Fountain Creek is a drinking-water source for the City of Colorado Springs, Colorado, and is used for irrigation, recreation, and other purposes between Colorado Springs and the confluence with the Arkansas River at Pueblo, Colorado. In 2008, Fountain Creek was placed on the Colorado 303(d) list of impaired streams because of fecal contamination. Colorado uses a 30-day geometric mean standard of 126 Escherichia coli per 100 milliliters as its management goal for recreational waters. The objective of this study was to identify major sources of Escherichia coli in upper Fountain Creek during exceedances of the State recreational water standard. To meet this objective, a new approach was developed and tested that uses genetic marker analysis for microbial source tracking, along with other information, to evaluate potential contributions of fecal contamination from various sources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113095","usgsCitation":"Stoeckel, D., 2011, Evaluation of fecal contamination by human and ruminant sources in upper Fountain Creek, Colorado, 2007-2008, by using multiple lines of evidence:: U.S. Geological Survey Fact Sheet 2011-3095, 4 p., https://doi.org/10.3133/fs20113095.","productDescription":"4 p.","temporalStart":"2007-05-01","temporalEnd":"2008-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116744,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3095.gif"},{"id":111005,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3095/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","county":"El Paso County;Teller County","otherGeospatial":"Fountain Creek;Ruxton Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,37 ], [ -109,41 ], [ -102,41 ], [ -102,37 ], [ -109,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c72e4b0c8380cd52b57","contributors":{"authors":[{"text":"Stoeckel, Donald","contributorId":8604,"corporation":false,"usgs":true,"family":"Stoeckel","given":"Donald","affiliations":[],"preferred":false,"id":353987,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70006168,"text":"sir20115179 - 2011 - Monitoring to assess progress toward meeting the Assabet River, Massachusetts, phosphorus total maximum daily load - Aquatic macrophyte biomass and sediment-phosphorus flux","interactions":[],"lastModifiedDate":"2018-10-15T07:47:49","indexId":"sir20115179","displayToPublicDate":"2011-12-06T00:00:00","publicationYear":"2011","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":"2011-5179","title":"Monitoring to assess progress toward meeting the Assabet River, Massachusetts, phosphorus total maximum daily load - Aquatic macrophyte biomass and sediment-phosphorus flux","docAbstract":"In 2004, the Total Maximum Daily Load (TMDL) for Total Phosphorus in the Assabet River, Massachusetts, was approved by the U.S. Environmental Protection Agency. The goal of the TMDL was to decrease the concentrations of the nutrient phosphorus to mitigate some of the instream ecological effects of eutrophication on the river; these effects were, for the most part, direct consequences of the excessive growth of aquatic macrophytes. The primary instrument effecting lower concentrations of phosphorus was to be strict control of phosphorus releases from four major wastewatertreatment plants in Westborough, Marlborough, Hudson, and Maynard, Massachusetts. The improvements to be achieved from implementing this control were lower concentrations of total and dissolved phosphorus in the river, a 50-percent reduction in aquatic-plant biomass, a 30-percent reduction in episodes of dissolved oxygen supersaturation, no low-flow dissolved oxygen concentrations less than 5.0 milligrams per liter, and a 90-percent reduction in sediment releases of phosphorus to the overlying water. In 2007, the U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, initiated studies to evaluate conditions in the Assabet River prior to the upgrading of wastewater-treatment plants to remove more phosphorus from their effluents. The studies, completed in 2008, implemented a visual monitoring plan to evaluate the extent and biomass of the floating macrophyte Lemna minor (commonly known as lesser duckweed) in five impoundments and evaluated the potential for phosphorus flux from sediments in impounded and free-flowing reaches of the river. Hydrologically, the two study years 2007 and 2008 were quite different. In 2007, summer streamflows, although low, were higher than average, and in 2008, the flows were generally higher than in 2007. Visually, the effects of these streamflow differences on the distribution of Lemna were obvious. In 2007, large amounts of floating macrophytes accumulated behind bridge constrictions and dams; in 2008, high flows during the early part of the growing season carried floating macrophytes past bridges and over dams, minimizing accumulations. Samples of Lemna were collected and weighed to provide an estimate of Lemna biomass based on areal coverage during the summer growing seasons at eight sites in the five impoundments. Average estimated biomass during 2007 was approximately twice the 2008 biomass in each of the areas monitored. In 2007, in situ hyperspectral and high-resolution, multispectral data from the IKONOS satellite were obtained to evaluate the feasibility of using remote sensing to monitor the extent of aquatic plant growth in Assabet River impoundments. Three vegetation indices based on light reflectance were used to develop metrics with which the hyperspectral and satellite data were compared. The results of the comparisons confirmed that the high-resolution satellite imagery could differentiate among the common aquatic-plant associations found in the impoundments. The use of satellite imagery could counterbalance emphasis on the subjective judgment of a human observer, and airborne hyperspectral data can provide higher resolution imagery than multispectral satellite data. In 2007 and 2008, the potential for sediment flux of phosphorus was examined in free-flowing reaches of the river and in the two largest impoundments-Hudson and Ben Smith. These studies were undertaken to determine in situ flux rates prior to the implementation of the Assabet River Total Maximum Daily Load (TMDL) for phosphorus and to compare these rates with those used in the development and evaluation of the TMDL. Water samples collected from a chamber placed on the river bottom were analyzed for total phosphorus and orthophosphorus. Ambient dissolved oxygen concentrations and seasonal temperature differences appeared to affect the rates of sequestration and sediment release of phosphorus. When dissolved oxygen concentrations remained relatively high in the chambers and when the temperature was relatively low, the tendency was for phosphorus concentrations to decrease in the chambers, indicating sediment sequestration of phosphorus; when dissolved oxygen concentrations dropped to near zero and temperatures were warmest, phosphorus concentrations increased in the chambers, indicating phosphorus flux from the sediment. The rates of release and sequestration in the in situ studies were generally comparable with the rates determined in laboratory studies of Assabet River sediment cores for State and Federal agencies. Sediment-core and chamber studies produced substantial sediment fluxes to the water column only under extremely low-DO or anaerobic conditions rarely found in the Assabet River impoundments; thus, sediment is not likely to be a major phosphorus source, especially when compared to the wastewater effluent, which sustains higher ambient concentrations. The regulatory agencies now (2011) have substantial laboratory and field data with which to determine the required 90-percent reduction in phosphorus flux after the completion of upgrades to the wastewater-treatment plants that discharge to the Assabet River.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115179","usgsCitation":"Zimmerman, M.J., Qian, Y., and Yong Q., T., 2011, Monitoring to assess progress toward meeting the Assabet River, Massachusetts, phosphorus total maximum daily load - Aquatic macrophyte biomass and sediment-phosphorus flux: U.S. Geological Survey Scientific Investigations Report 2011-5179, x, 77 p., https://doi.org/10.3133/sir20115179.","productDescription":"x, 77 p.","onlineOnly":"Y","temporalStart":"2007-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":111004,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5179/","linkFileType":{"id":5,"text":"html"}},{"id":116745,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5179.gif"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Assabet River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72,42 ], [ -72,43 ], [ -71,43 ], [ -71,42 ], [ -72,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5df6e4b0c8380cd706f0","contributors":{"authors":[{"text":"Zimmerman, Marc J. mzimmerm@usgs.gov","contributorId":3245,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Marc","email":"mzimmerm@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Yu","contributorId":105037,"corporation":false,"usgs":true,"family":"Qian","given":"Yu","email":"","affiliations":[],"preferred":false,"id":353986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yong Q., Tian","contributorId":31102,"corporation":false,"usgs":true,"family":"Yong Q.","given":"Tian","email":"","affiliations":[],"preferred":false,"id":353985,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70006171,"text":"fs20113141 - 2011 - U.S. Geological Survey Community for Data Integration-NWIS Web Services Snapshot Tool for ArcGIS","interactions":[],"lastModifiedDate":"2016-08-11T15:17:46","indexId":"fs20113141","displayToPublicDate":"2011-12-06T00:00:00","publicationYear":"2011","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":"2011-3141","title":"U.S. Geological Survey Community for Data Integration-NWIS Web Services Snapshot Tool for ArcGIS","docAbstract":"U.S. Geological Survey (USGS) data resources are so vast that many scientists are unaware of data holdings that may be directly relevant to their research. Data are also difficult to access and large corporate databases, such as the National Water Information System (NWIS) that houses hydrologic data for the Nation, are challenging to use without considerable expertise and investment of time. The USGS Community for Data Integration (CDI) was established in 2009 to address data and information management issues affecting the proficiency of earth science research. A CDI workshop convened in 2009 identified common data integration needs of USGS scientists and targeted high value opportunities that might address these needs by leveraging existing projects in USGS science centers, in-kind contributions, and supplemental funding. To implement this strategy, CDI sponsored a software development project in 2010 to facilitate access and use of NWIS data with ArcGIS, a widely used Geographic Information System. The resulting software product, the NWIS Web Services Snapshot Tool for ArcGIS, is presented here.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113141","usgsCitation":"Holl, S., 2011, U.S. Geological Survey Community for Data Integration-NWIS Web Services Snapshot Tool for ArcGIS: U.S. Geological Survey Fact Sheet 2011-3141, 2 p., https://doi.org/10.3133/fs20113141.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116746,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3141.gif"},{"id":111006,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3141/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bba60e4b08c986b328138","contributors":{"authors":[{"text":"Holl, Sally","contributorId":107416,"corporation":false,"usgs":true,"family":"Holl","given":"Sally","affiliations":[],"preferred":false,"id":353989,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038770,"text":"70038770 - 2011 - Geographic distribution of the mid-continent population of sandhill cranes and related management applications","interactions":[],"lastModifiedDate":"2018-01-02T11:33:11","indexId":"70038770","displayToPublicDate":"2011-12-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3773,"text":"Wildlife Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Geographic distribution of the mid-continent population of sandhill cranes and related management applications","docAbstract":"The Mid-continent Population (MCP) of sandhill cranes (Grus canadensis) is widely hunted in North America and is separated into the Gulf Coast Subpopulation and Western Subpopulation for management purposes. Effective harvest management of the MCP requires detailed knowledge of breeding distribution of subspecies and subpopulations, chronology of their use of fall staging areas and wintering grounds, and exposure to and harvest from hunting. To address these information needs, we tagged 153 sandhill cranes with Platform Transmitting Terminals (PTTs) during 22 February–12 April 1998–2003 in the Central and North Platte River valleys of south-central Nebraska. We monitored PTT-tagged sandhill cranes, hereafter tagged cranes, from their arrival to departure from breeding grounds, during their fall migration, and throughout winter using the Argos satellite tracking system. The tracking effort yielded 74,041 useable locations over 49,350 tag days; median duration of tracking of individual cranes was 352 days and 73 cranes were tracked >12 months. Genetic sequencing of mitochondrial DNA (mtDNA) from blood samples taken from each of our random sample of tagged cranes indicated 64% were G. c. canadensis and 34% were Grus canadensis tabida. Tagged cranes during the breeding season settled in northern temperate, subarctic, and arctic North America (U.S. [23%, n = 35], Canada [57%, n = 87]) and arctic regions of northeast Asia (Russia [20%, n = 31]). Distribution of tagged cranes by breeding affiliation was as follows: Western Alaska–Siberia (WA–S, 42 ± 4% [SE]), northern Canada–Nunavut (NC–N, 21 ± 4%), west-central Canada–Alaska (WC–A, 23 ± 4%) and East-central Canada–Minnesota (EC–M, 14 ± 3%). All tagged cranes returned to the same breeding affiliation used during the previous year with a median distance of 1.60 km (range: 0.08–7.7 km, n = 53) separating sites used in year 1 and year 2. Fall staging occurred primarily in central and western Saskatchewan (69%), North Dakota (16%), southwestern Manitoba (10%), and northwestern Minnesota (3%). Space-use sharing indices showed that except for NC–N and WC–A birds, probability of finding a crane from one breeding affiliation within the home range of another breeding affiliation was low during fall staging. Tagged cranes from WC–A and EC–M breeding affiliations, on average, spent 25 and 20 days, respectively, longer on fall staging areas in the northern plains than did WA–S and NC–N birds. Cranes in the NC–N, WA–S, and WC–A affiliations spent 99%, 74%, and 64%, respectively, of winter in western Texas in Hunting Zone A; EC–M cranes spent 83% of winter along the Texas Gulf Coast in Hunting Zone C. Tagged cranes that settled within the breeding range of the Gulf Coast Subpopulation spent 28% and 42% of fall staging and winter within the range of the Western Subpopulation, indicating sufficient exchange of birds to potentially limit effectiveness of MCP harvest management. Harvests of EC–M and WC–A cranes during 1998–2003 were disproportionately high to their estimated numbers in the MCP, suggesting more conservative harvest strategies may be required for these subpopulations in the future, and for sandhill cranes to occupy major parts of their historical breeding range in the Prairie Pothole Region. Exceptionally high philopatry of MCP cranes of all 4 subpopulations to breeding sites coupled with strong linkages between crane breeding distribution, and fall staging areas and wintering grounds, provide managers guidance for targeting MCP crane harvest to meet management goals. Sufficient temporal or spatial separation exists among the 4 subpopulations on fall staging areas and wintering grounds to allow harvest to be targeted at the subpopulation level in all states and provinces (and most hunting zones within states and provinces) when conditions warrant. Knowledge gained from our study provides decision-makers in the United States, Canada, Mexico, and Russia with improved guidance for developing sound harvest regulations, focusing conservation efforts, and generating collaborative efforts among these nations on sandhill crane research and management to meet mutually important goals.
","language":"English","publisher":"Wiley","doi":"10.1002/wmon.1","usgsCitation":"Krapu, G.L., Brandt, D., Jones, K., and Johnson, D.H., 2011, Geographic distribution of the mid-continent population of sandhill cranes and related management applications: Wildlife Monographs, v. 175, no. 1, p. 1-38, https://doi.org/10.1002/wmon.1.","productDescription":"38 p.","startPage":"1","endPage":"38","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1998-02-22","temporalEnd":"2003-04-12","ipdsId":"IP-010389","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":298996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Platte River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.0185546875,\n 40.094882122321174\n ],\n [\n -104.0185546875,\n 41.261291493919856\n ],\n [\n -95.47119140625,\n 41.261291493919856\n ],\n [\n -95.47119140625,\n 40.094882122321174\n ],\n [\n -104.0185546875,\n 40.094882122321174\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"175","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-04-20","publicationStatus":"PW","scienceBaseUri":"55152daae4b03238427816cc","contributors":{"authors":[{"text":"Krapu, Gary L. 0000-0001-8482-6130 gkrapu@usgs.gov","orcid":"https://orcid.org/0000-0001-8482-6130","contributorId":3074,"corporation":false,"usgs":true,"family":"Krapu","given":"Gary","email":"gkrapu@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":543422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, David A. dbrandt@usgs.gov","contributorId":3073,"corporation":false,"usgs":true,"family":"Brandt","given":"David A.","email":"dbrandt@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":543423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Kenneth L.","contributorId":72112,"corporation":false,"usgs":true,"family":"Jones","given":"Kenneth L.","affiliations":[],"preferred":false,"id":543424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":543425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70006151,"text":"sir20115197 - 2011 - Source-water susceptibility assessment in Texas—Approach and methodology","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"sir20115197","displayToPublicDate":"2011-12-05T00:00:00","publicationYear":"2011","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":"2011-5197","title":"Source-water susceptibility assessment in Texas—Approach and methodology","docAbstract":"Public water systems provide potable water for the public's use. The Safe Drinking Water Act amendments of 1996 required States to prepare a source-water susceptibility assessment (SWSA) for each public water system (PWS). States were required to determine the source of water for each PWS, the origin of any contaminant of concern (COC) monitored or to be monitored, and the susceptibility of the public water system to COC exposure, to protect public water supplies from contamination. In Texas, the Texas Commission on Environmental Quality (TCEQ) was responsible for preparing SWSAs for the more than 6,000 public water systems, representing more than 18,000 surface-water intakes or groundwater wells. The U.S. Geological Survey (USGS) worked in cooperation with TCEQ to develop the Source Water Assessment Program (SWAP) approach and methodology. Texas' SWAP meets all requirements of the Safe Drinking Water Act and ultimately provides the TCEQ with a comprehensive tool for protection of public water systems from contamination by up to 247 individual COCs. TCEQ staff identified both the list of contaminants to be assessed and contaminant threshold values (THR) to be applied. COCs were chosen because they were regulated contaminants, were expected to become regulated contaminants in the near future, or were unregulated but thought to represent long-term health concerns. THRs were based on maximum contaminant levels from U.S. Environmental Protection Agency (EPA)'s National Primary Drinking Water Regulations. For reporting purposes, COCs were grouped into seven contaminant groups: inorganic compounds, volatile organic compounds, synthetic organic compounds, radiochemicals, disinfection byproducts, microbial organisms, and physical properties. Expanding on the TCEQ's definition of susceptibility, subject-matter expert working groups formulated the SWSA approach based on assumptions that natural processes and human activities contribute COCs in quantities that vary in space and time; that increased levels of COC-producing activities within a source area may increase susceptibility to COC exposure; and that natural and manmade conditions within the source area may increase, decrease, or have no observable effect on susceptibility to COC exposure. Incorporating these assumptions, eight SWSA components were defined: identification, delineation, intrinsic susceptibility, point- and nonpoint-source susceptibility, contaminant occurrence, area-of-primary influence, and summary components. Spatial datasets were prepared to represent approximately 170 attributes or indicators used in the assessment process. These primarily were static datasets (approximately 46 gigabytes (GB) in size). Selected datasets such as PWS surface-water-intake or groundwater-well locations and potential source of contamination (PSOC) locations were updated weekly. Completed assessments were archived, and that database is approximately 10 GB in size. SWSA components currently (2011) are implemented in the Source Water Assessment Program-Decision Support System (SWAP-DSS) computer software, specifically developed to produce SWSAs. On execution of the software, the components work to identify the source of water for the well or intake, assess intrinsic susceptibility of the water- supply source, assess susceptibility to contamination with COCs from point and nonpoint sources, identify any previous detections of COCs from existing water-quality databases, and summarize the results. Each water-supply source's susceptibility is assessed, source results are weighted by source capacity (when a PWS has multiple sources), and results are combined into a single SWSA for the PWS.'SWSA reports are generated using the software; during 2003, more than 6,000 reports were provided to PWS operators and the public. The ability to produce detailed or summary reports for individual sources, and detailed or summary reports for a PWS, by COC or COC group was a unique capability of SWAP-DSS. In 2004, the TCEQ began a rotating schedule for SWSA wherein one-third of PWSs statewide would be assessed annually, or sooner if protection-program activities deemed it necessary, and that schedule has continued to the present. Cooperative efforts by the TCEQ and the USGS for SWAP software maintenance and enhancements ended in 2011 with the TCEQ assuming responsibility for all tasks.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115197","collaboration":"Prepared in cooperation with the Texas Commission on Environmental Quality","usgsCitation":"Ulery, R.L., Meyer, J.E., Andren, R.W., and Newson, J.K., 2011, Source-water susceptibility assessment in Texas—Approach and methodology: U.S. Geological Survey Scientific Investigations Report 2011-5197, xii, 33 p.; Appendices, https://doi.org/10.3133/sir20115197.","productDescription":"xii, 33 p.; Appendices","startPage":"i","endPage":"64","numberOfPages":"76","additionalOnlineFiles":"N","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":110995,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5197/","linkFileType":{"id":5,"text":"html"}},{"id":116689,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5197.jpg"}],"scale":"250000","projection":"Albers Equal Area","datum":"NAD 83","country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107,25.75 ], [ -107,36.5 ], [ -95,36.5 ], [ -95,25.75 ], [ -107,25.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9349e4b08c986b31a401","contributors":{"authors":[{"text":"Ulery, Randy L. rlulery@usgs.gov","contributorId":4679,"corporation":false,"usgs":true,"family":"Ulery","given":"Randy","email":"rlulery@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":353950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, John E.","contributorId":17359,"corporation":false,"usgs":true,"family":"Meyer","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":353951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andren, Robert W.","contributorId":52708,"corporation":false,"usgs":true,"family":"Andren","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":353952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newson, Jeremy K. jknewson@usgs.gov","contributorId":4159,"corporation":false,"usgs":true,"family":"Newson","given":"Jeremy","email":"jknewson@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353949,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70006153,"text":"ofr20111278 - 2011 - 2010 update—Streamflow characteristics at selected sites in southwestern Georgia, southeastern Alabama, and northwestern Florida, near Lake Seminole","interactions":[],"lastModifiedDate":"2016-12-08T14:54:33","indexId":"ofr20111278","displayToPublicDate":"2011-12-05T00:00:00","publicationYear":"2011","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":"2011-1278","title":"2010 update—Streamflow characteristics at selected sites in southwestern Georgia, southeastern Alabama, and northwestern Florida, near Lake Seminole","docAbstract":"Since the first edition of this report was published in 1996, continuous streamflow data have been recorded in the tri-state area of Alabama, Georgia, and Florida, near Lake Seminole. Several notable floods and severe droughts have occurred during this additional 16-year period that have sparked the need to include these additional recorded data into a comprehensive report for use by local, State, and Federal agencies. Flow durations, low-flow, and mean-flow analyses of daily mean discharges were compiled and analyzed for 12 streamflow stations during three selected periods that included pre-Lake Seminole (1929-53), post-Lake Seminole and pre-irrigation (1958-70), and post-Lake Seminole and post-irrigation (1976-2010), as well as for specified partial periods. The analyses yielded information on the variability of inflow to and outflow from Lake Seminole and the variability of flows in area streams. Streamflow characteristics for Ichawaynochaway Creek at Milford, Georgia, and Chipola River near Altha, Florida, varied similarly from 1944-53 to 1958-70, with mean annual flows decreasing by about 8 and 6 percent, respectively. This decreasing trend continued from 1958-70 to 1976-2010 by about 10 and 2 percent, respectively. The mean annual streamflow for Spring Creek near Iron City, Georgia, however, remained basically unchanged from 1944-53 to 1958-70, as well as from 1958-70 to 1976-2010. Streamflow characteristics for inflow to and outflow from Lake Seminole varied similarly during 1929-53, 1958-70, and 1976-2010. Mean 30-day low flows for inflow and outflow at Lake Seminole increased by about 24 to 11 percent, respectively, from 1929-53 to 1958-70; the values for 1976-2010 returned to near, but less than, the low-flow values of 1929-53.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111278","collaboration":"Prepared in cooperation with the Georgia Department of Natural Resources","usgsCitation":"Stamey, T.C., 2011, 2010 update—Streamflow characteristics at selected sites in southwestern Georgia, southeastern Alabama, and northwestern Florida, near Lake Seminole: U.S. Geological Survey Open-File Report 2011-1278, iv, 10 p., https://doi.org/10.3133/ofr20111278.","productDescription":"iv, 10 p.","startPage":"i","endPage":"10","numberOfPages":"14","additionalOnlineFiles":"N","temporalStart":"1929-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":110997,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1278/","linkFileType":{"id":5,"text":"html"}},{"id":116690,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1278.jpg"}],"country":"United States","state":"Georgia;Alabama;Florida","otherGeospatial":"Lake Seminole","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86,29.5 ], [ -86,32.333333333333336 ], [ -83.25,32.333333333333336 ], [ -83.25,29.5 ], [ -86,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4926e4b0b290850eeeb4","contributors":{"authors":[{"text":"Stamey, Timothy C. tcstamey@usgs.gov","contributorId":4770,"corporation":false,"usgs":true,"family":"Stamey","given":"Timothy","email":"tcstamey@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":353967,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70006152,"text":"pp1787 - 2011 - Baseline and projected future carbon storage and greenhouse-gas fluxes in the Great Plains region of the United States","interactions":[],"lastModifiedDate":"2019-06-21T14:59:39","indexId":"pp1787","displayToPublicDate":"2011-12-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1787","title":"Baseline and projected future carbon storage and greenhouse-gas fluxes in the Great Plains region of the United States","docAbstract":"This assessment was conducted to fulfill the requirements of section 712 of the Energy Independence and Security Act (EISA) of 2007 and to improve understanding of carbon and greenhouse gas (GHG) fluxes in the Great Plains region in the central part of the United States. The assessment examined carbon storage, carbon fluxes, and other GHG fluxes (methane and nitrous oxide) in all major terrestrial ecosystems (forests, grasslands/shrublands, agricultural lands, and wetlands) and freshwater aquatic systems (rivers, streams, lakes, and impoundments) in two time periods: baseline (generally in the first half of the 2010s) and future (projections from baseline to 2050). The assessment was based on measured and observed data collected by the U.S. Geological Survey (USGS) and many other agencies and organizations and used remote sensing, statistical methods, and simulation models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1787","usgsCitation":"Bouchard, M., Butman, D., Hawbaker, T., Li, Z., Liu, J., Liu, S., McDonald, C., Reker, R.R., Sayler, K., Sleeter, B., Sohl, T., Stackpoole, S., Wein, A., and Zhu, Z., 2011, Baseline and projected future carbon storage and greenhouse-gas fluxes in the Great Plains region of the United States: U.S. Geological Survey Professional Paper 1787, vii, 28 p., https://doi.org/10.3133/pp1787.","productDescription":"vii, 28 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":293,"text":"Geographic Analysis and Monitoring 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(USGS) Energy Resources Program (ERP) is to (1) understand the processes critical to the formation, accumulation, occurrence, and alteration of geologically based energy resources; (2) conduct scientifically robust assessments of those resources; and (3) study the impacts of energy resource occurrence and (or) their production and use on both the environment and human health. The ERP promotes and supports research resulting in original, geology-based, non-biased energy information products for policy and decision makers, land and resource managers, other Federal and State agencies, the domestic energy industry, foreign governments, non-governmental groups, and academia. Investigations include research on the geology of oil, gas, and coal, and the impacts associated with energy resource occurrence, production, quality, and utilization. The ERP's focus on coal is to support investigations into current issues pertaining to coal production, beneficiation and (or) conversion, and the environmental impact of the coal combustion process and coal combustion products (CCPs). To accomplish these studies, the USGS combines its activities with other organizations to address domestic and international issues that relate to the development and use of energy resources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70006158","usgsCitation":"Affolter, R.H., Groves, S., Betterton, W.J., William, B., Conrad, K.L., Swanson, S.M., Ruppert, L.F., Clough, J.G., Belkin, H.E., Kolker, A., and Hower, J., 2011, Geochemical database of feed coal and coal combustion products (CCPs) from five power plants in the United States: U.S. Geological Survey Data Series 635, 19 p.; PDF Download of References; HTML Instructions; HTML List of Files; Data Series ZIP, https://doi.org/10.3133/70006158.","productDescription":"19 p.; PDF Download of References; HTML Instructions; HTML List of Files; Data Series 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akolker@usgs.gov","orcid":"https://orcid.org/0000-0002-5768-4533","contributorId":643,"corporation":false,"usgs":true,"family":"Kolker","given":"Allan","email":"akolker@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353970,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hower, James C. 0000-0003-4694-2776","orcid":"https://orcid.org/0000-0003-4694-2776","contributorId":34561,"corporation":false,"usgs":false,"family":"Hower","given":"James C.","affiliations":[{"id":16123,"text":"University of Kentucky, Center for Applied Energy Research, 2540 Research Park Drive, Lexington, KY 40511, United States.","active":true,"usgs":false}],"preferred":false,"id":353976,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70044156,"text":"70044156 - 2011 - The role of remote sensing observations and models in hydrology: The science of evapotranspiration","interactions":[],"lastModifiedDate":"2025-12-10T17:14:58.661721","indexId":"70044156","displayToPublicDate":"2011-12-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"The role of remote sensing observations and models in hydrology: The science of evapotranspiration","docAbstract":"Over 15 years ago, Morton (1994) summarized the state of evapotranspiration (ET) research pessimistically: ‘There have been few significant advances in our knowledge of evaporation on an environmental scale over the past four decades, a state of affairs linked to the current sterility of hydrology and related environmental sciences. Furthermore, almost none of the advances have been used successfully in practice.’ He did not foresee the rapid progress in the\nensuing years. These advances can be attributed largely to three convergent themes: 1) technical innovation; 2) synergy between disciplines; and 3) expressed need. The papers in this special issue address all of these three themes on remote sensing methods for ET estimation.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8436","usgsCitation":"Nagler, P., 2011, The role of remote sensing observations and models in hydrology: The science of evapotranspiration: Hydrological Processes, v. 25, no. 26, p. 3977-3978, https://doi.org/10.1002/hyp.8436.","productDescription":"2 p.","startPage":"3977","endPage":"3978","numberOfPages":"2","ipdsId":"IP-033236","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":271484,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271483,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8436"}],"volume":"25","issue":"26","noUsgsAuthors":false,"publicationDate":"2011-12-14","publicationStatus":"PW","scienceBaseUri":"517a506fe4b072c16ef14b69","contributors":{"authors":[{"text":"Nagler, Pamela 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":8748,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","affiliations":[],"preferred":false,"id":474917,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70006142,"text":"70006142 - 2011 - A nematomorph parasite explains variation in terrestrial subsidies to trout streams in Japan","interactions":[],"lastModifiedDate":"2021-05-19T14:54:00.395285","indexId":"70006142","displayToPublicDate":"2011-12-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"A nematomorph parasite explains variation in terrestrial subsidies to trout streams in Japan","docAbstract":"Nematomorph parasites alter the behavior of their orthopteran hosts, driving them to water and creating a source of food for stream salmonids. We investigated whether nematomorphs could explain variation in terrestrial subsidies across several streams. In nine study streams, orthopterans comprise much of the stomach contents of trout (46 ± 31% on average). Total mass of ingested prey per trout biomass positively correlated with the mass of orthopterans ingested, suggesting that the orthopterans enhanced absolute mass of prey consumption by the trout population. The orthopterans ingested per trout biomass positively correlated with the abundance of nematomorphs in the stream, but not with the abundance of camel crickets (the dominant hosts) around the streams. Streams in conifer plantations had fewer nematomorphs than streams in natural deciduous forests. These results provide the first quantitative evidence that a manipulative parasite can explain variation in the allochthonous energy flow through and across ecosystems.
","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1600-0706.2011.19121.x","usgsCitation":"Sato, T., Watanabe, K., Tokuchi, N., Kamauchi, H., Harada, Y., and Lafferty, K.D., 2011, A nematomorph parasite explains variation in terrestrial subsidies to trout streams in Japan: Oikos, v. 120, no. 10, p. 1595-1599, https://doi.org/10.1111/j.1600-0706.2011.19121.x.","productDescription":"5 p.","startPage":"1595","endPage":"1599","numberOfPages":"5","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204344,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[134.63843,34.14923],[134.76638,33.80633],[134.20342,33.20118],[133.79295,33.52199],[133.28027,33.28957],[133.01486,32.70457],[132.36311,32.98938],[132.37118,33.46364],[132.92437,34.0603],[133.49297,33.94462],[133.90411,34.36493],[134.63843,34.14923]]],[[[140.97639,37.14207],[140.59977,36.34398],[140.77407,35.84288],[140.25328,35.13811],[138.97553,34.6676],[137.2176,34.60629],[135.79298,33.46481],[135.12098,33.84907],[135.07943,34.59654],[133.34032,34.37594],[132.15677,33.90493],[130.98614,33.88576],[132.00004,33.14999],[131.33279,31.45035],[130.68632,31.02958],[130.20242,31.41824],[130.44768,32.31947],[129.81469,32.61031],[129.40846,33.29606],[130.35394,33.60415],[130.87845,34.23274],[131.88423,34.74971],[132.61767,35.43339],[134.6083,35.73162],[135.67754,35.52713],[136.72383,37.30498],[137.39061,36.82739],[138.8576,37.82748],[139.4264,38.21596],[140.05479,39.43881],[139.88338,40.56331],[140.30578,41.19501],[141.36897,41.37856],[141.91426,39.99162],[141.8846,39.18086],[140.95949,38.174],[140.97639,37.14207]]],[[[143.91016,44.1741],[144.61343,43.96088],[145.32083,44.38473],[145.54314,43.26209],[144.05966,42.98836],[143.18385,41.99521],[141.61149,42.67879],[141.06729,41.58459],[139.95511,41.56956],[139.81754,42.56376],[140.31209,43.33327],[141.38055,43.38882],[141.67195,44.77213],[141.96764,45.55148],[143.14287,44.51036],[143.91016,44.1741]]]]},\"properties\":{\"name\":\"Japan\"}}]}","volume":"120","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-05-31","publicationStatus":"PW","scienceBaseUri":"5059e495e4b0c8380cd46741","contributors":{"authors":[{"text":"Sato, Takuya","contributorId":26420,"corporation":false,"usgs":false,"family":"Sato","given":"Takuya","email":"","affiliations":[],"preferred":false,"id":353924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watanabe, Katsutoshi","contributorId":45448,"corporation":false,"usgs":true,"family":"Watanabe","given":"Katsutoshi","affiliations":[],"preferred":false,"id":353926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tokuchi, Naoko","contributorId":94428,"corporation":false,"usgs":true,"family":"Tokuchi","given":"Naoko","email":"","affiliations":[],"preferred":false,"id":353928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kamauchi, Hiromitsu","contributorId":26804,"corporation":false,"usgs":true,"family":"Kamauchi","given":"Hiromitsu","email":"","affiliations":[],"preferred":false,"id":353925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harada, Yasushi","contributorId":86884,"corporation":false,"usgs":false,"family":"Harada","given":"Yasushi","email":"","affiliations":[],"preferred":false,"id":353927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":353923,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70006193,"text":"sir20115185 - 2011 - Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08","interactions":[],"lastModifiedDate":"2018-07-07T18:16:27","indexId":"sir20115185","displayToPublicDate":"2011-12-04T08:45:00","publicationYear":"2011","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":"2011-5185","title":"Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08","docAbstract":"The Chokosna, Gilahina, and Lakina River basins, and the Long Lake watershed are located along McCarthy Road in Wrangell–St. Elias National Park and Preserve. The rivers and lake support a large run of sockeye (red) salmon that is important to the commercial and recreational fisheries in the larger Copper River. To gain a better understanding of the water quality conditions of these watersheds, these basins were studied as part of a cooperative study with the National Park Service during the open water periods in 2007 and 2008. Water type of the rivers and Long Lake is calcium bicarbonate with the exception of that in the Chokosna River, which is calcium bicarbonate sulfate water. Alkalinity concentrations ranged from 63 to 222 milligrams per liter, indicating a high buffering capacity in these waters. Analyses of streambed sediments indicated that concentrations of the trace elements arsenic, chromium, and nickel exceed levels that might be toxic to fish and other aquatic organisms. However, these concentrations reflect local geology rather than anthropogenic sources in this nearly pristine area. Benthic macroinvertebrate qualitative multi-habitat and richest targeted habitat samples collected from six stream sites along McCarthy Road indicated a total of 125 taxa. Insects made up the largest percentage of macroinvertebrates, totaling 83 percent of the families found. Dipterans (flies and midges) accounted for 43 percent of all macroinvertebrates found. Analysis of the macroinvertebrate data by non-metric multidimensional scaling indicated differences between (1) sites at Long Lake and other stream sites along McCarthy Road, likely due to different basin characteristics, (2) the 2007 and 2008 data, probably from the higher rainfall in 2008, and (3) macroinvertebrate data collected in south-central Alaska, which represents a different climate zone. The richness, abundance, and community composition of periphytic algae taxa was variable between sampling sites. Taxa richness and diversity were highest at the Long Lake outflow site, suggesting that the lake may have contributed planktonic taxa to the periphytic community and (or) created physical and chemical conditions at the outlet that were favorable to a variety of taxa. Long Lake is fed by groundwater and by clear water (non glacial) streams, resulting in relatively high Secchi-disc readings ranging from 17.5 to 23 feet. Depth profiles of water temperature in the lake show a strong stratification during the summer from the surface to about 13 feet, with temperatures ranging from 16 to 5 °C. Depth profiles of dissolved oxygen in the lake show a strong stratification between 26 and 33 feet, below which the concentrations of dissolved oxygen decrease from 10 to 2 milligrams per liter. Because the Long Lake outlet stream supports a large run of sockeye salmon and water temperature is an important factor during its life cycle, a logistic model was used to simulate 1998–2006 water temperatures at this site. Analysis of simulation results for 1998–2008 indicated no significant trends in water temperature. 2007 water temperatures were the highest during the 10-year period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115185","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Brabets, T.P., Ourso, R.T., Miller, M.P., and Brasher, A.M., 2011, Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08: U.S. Geological Survey Scientific Investigations Report 2011-5185, viii, 56 p., https://doi.org/10.3133/sir20115185.","productDescription":"viii, 56 p.","numberOfPages":"68","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":111028,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5185/","linkFileType":{"id":5,"text":"html"}},{"id":116750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5185.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chokosna River;Gilahina River;Lakina River;Long Lake Watershed;Wrangell-st.Elias National Park And Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -146.83333333333334,59.166666666666664 ], [ -146.83333333333334,62.833333333333336 ], [ -137.83333333333334,62.833333333333336 ], [ -137.83333333333334,59.166666666666664 ], [ -146.83333333333334,59.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc8e2e4b08c986b32cb6e","contributors":{"authors":[{"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":354047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ourso, Robert T. 0000-0002-5952-8681 rtourso@usgs.gov","orcid":"https://orcid.org/0000-0002-5952-8681","contributorId":203207,"corporation":false,"usgs":true,"family":"Ourso","given":"Robert","email":"rtourso@usgs.gov","middleInitial":"T.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":354049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brasher, Anne M. D. abrasher@usgs.gov","contributorId":1715,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne","email":"abrasher@usgs.gov","middleInitial":"M. D.","affiliations":[],"preferred":true,"id":354046,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70004609,"text":"70004609 - 2011 - Sedimentation and response to sea-level rise of a restored marsh with reduced tidal exchange: Comparison with a natural tidal marsh","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"70004609","displayToPublicDate":"2011-12-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentation and response to sea-level rise of a restored marsh with reduced tidal exchange: Comparison with a natural tidal marsh","docAbstract":"Along coasts and estuaries, formerly embanked land is increasingly restored into tidal marshes in order to re-establish valuable ecosystem services, such as buffering against flooding. Along the Scheldt estuary (Belgium), tidal marshes are restored on embanked land by allowing a controlled reduced tide (CRT) into a constructed basin, through a culvert in the embankment. In this way tidal water levels are significantly lowered (ca. 3 m) so that a CRT marsh can develop on formerly embanked land with a ca. 3 m lower elevation than the natural tidal marshes. In this study we compared the long-term change in elevation (ΔE) within a CRT marsh and adjacent natural tidal marsh. Over a period of 4 years, the observed spatio-temporal variations in ΔE rate were related to variations in inundation depth, and this relationship was not significantly different for the CRT marsh and natural tidal marsh. A model was developed to simulate the ΔE over the next century. (1) Under a scenario without mean high water level (MHWL) rise in the estuary, the model shows that the marsh elevation-ΔE feedback that is typical for a natural tidal marsh (i.e. rising marsh elevation results in decreasing inundation depth and therefore a decreasing increase in elevation) is absent in the basin of the CRT marsh. This is because tidal exchange of water volumes between the estuary and CRT marsh are independent from the CRT marsh elevation but dependent on the culvert dimensions. Thus the volume of water entering the CRT remains constant regardless of the marsh elevation. Consequently the CRT MHWL follows the increase in CRT surface elevation, resulting after 75 years in a 2–2.5 times larger elevation gain in the CRT marsh, and a faster reduction of spatial elevation differences. (2) Under a scenario of constant MHWL rise (historical rate of 1.5 cm a-1), the equilibrium elevation (relative to MHWL) is 0.13 m lower in the CRT marsh and is reached almost 2 times faster. (3) Under a scenario of accelerated MHWL rise (acceleration of 0.02 cm a-1), the CRT marsh is much less able to keep up with the MHWL rise; after 75 years the CRT elevation is already 0.21 m lower than for the natural marsh. In conclusion, this study demonstrates that although short-term (4 years) ΔE rates are similar in a restored CRT marsh and natural tidal marsh, these ecosystems may evolve differently in response to sea-level rise in the longer term (10–100 years).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.geomorph.2011.03.004","usgsCitation":"Vandenbruwaene, W., Maris, T., Cahoon, D.R., Meire, P., and Temmerman, S., 2011, Sedimentation and response to sea-level rise of a restored marsh with reduced tidal exchange: Comparison with a natural tidal marsh: Geomorphology, v. 130, no. 3-4, p. 115-126, https://doi.org/10.1016/j.geomorph.2011.03.004.","productDescription":"12 p.","startPage":"115","endPage":"126","numberOfPages":"12","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":21864,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.geomorph.2011.03.004","linkFileType":{"id":5,"text":"html"}},{"id":204162,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Belgium","otherGeospatial":"Scheldt Estuary","volume":"130","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbd03","contributors":{"authors":[{"text":"Vandenbruwaene, W.","contributorId":17358,"corporation":false,"usgs":true,"family":"Vandenbruwaene","given":"W.","email":"","affiliations":[],"preferred":false,"id":350839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maris, T.","contributorId":58762,"corporation":false,"usgs":true,"family":"Maris","given":"T.","email":"","affiliations":[],"preferred":false,"id":350842,"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":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":350843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meire, P.","contributorId":29943,"corporation":false,"usgs":true,"family":"Meire","given":"P.","affiliations":[],"preferred":false,"id":350841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Temmerman, S.","contributorId":18099,"corporation":false,"usgs":true,"family":"Temmerman","given":"S.","affiliations":[],"preferred":false,"id":350840,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70005466,"text":"70005466 - 2011 - Mineralogy, morphology, and textural relationships in coatings on quartz grains in sediments in a quartz-sand aquifer","interactions":[],"lastModifiedDate":"2020-01-28T14:00:11","indexId":"70005466","displayToPublicDate":"2011-12-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Mineralogy, morphology, and textural relationships in coatings on quartz grains in sediments in a quartz-sand aquifer","docAbstract":"Mineralogical studies of coatings on quartz grains and bulk sediments from an aquifer on Western Cape Cod, Massachusetts, USA were carried out using a variety of transmission electron microscopy (TEM) techniques. Previous studies demonstrated that coatings on quartz grains control the adsorption properties of these sediments. Samples for TEM characterization were made by a gentle mechanical grinding method and focused ion beam (FIB) milling. The former method can make abundant electron-transparent coating assemblages for comprehensive and quantitative X-ray analysis and the latter technique protects the coating texture from being destroyed. Characterization of the samples from both a pristine area and an area heavily impacted by wastewater discharge shows similar coating textures and chemical compositions. Major constituents of the coating include Al-substituted goethite and illite/chlorite clays. Goethite is aggregated into well-crystallized domains through oriented attachment resulting in increased porosity. Illite/chlorite clays with various chemical compositions were observed to be mixed with goethite aggregates and aligned sub-parallel to the associated quartz surface. The uniform spatial distribution of wastewater-derived phosphorus throughout the coating from the wastewater-contaminated site suggests that all of the coating constituents, including those adjacent to the quartz surface, are accessible to groundwater solutes. Both TEM characterization and chemical extraction results indicate there is a significantly greater amount of amorphous iron oxide in samples from wastewater discharge area compared to those from the pristine region, which might reflect the impact of redox cycling of iron under the wastewater-discharge area. Coating compositions are consistent with the moderate metal and oxy-metalloid adsorption capacities, low but significant cation exchange capacities, and control of iron(III) solubility by goethite observed in reactive transport experimental and modeling studies conducted at the site.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2011.02.003","usgsCitation":"Zhang, S., Kent, D.B., Elbert, D.C., Shi, Z., Davis, J., and Veblen, D.R., 2011, Mineralogy, morphology, and textural relationships in coatings on quartz grains in sediments in a quartz-sand aquifer: Journal of Contaminant Hydrology, v. 124, no. 1-4, p. 57-67, https://doi.org/10.1016/j.jconhyd.2011.02.003.","productDescription":"11 p.","startPage":"57","endPage":"67","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204234,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.77392578125,\n 41.65649719441145\n ],\n [\n -69.85107421874999,\n 41.65649719441145\n ],\n [\n -69.85107421874999,\n 42.08599350447723\n ],\n [\n -70.77392578125,\n 42.08599350447723\n ],\n [\n -70.77392578125,\n 41.65649719441145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699dcb","contributors":{"authors":[{"text":"Zhang, Shouliang","contributorId":55952,"corporation":false,"usgs":true,"family":"Zhang","given":"Shouliang","email":"","affiliations":[],"preferred":false,"id":352570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":352567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elbert, David C.","contributorId":22483,"corporation":false,"usgs":true,"family":"Elbert","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":352569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shi, Zhi","contributorId":8605,"corporation":false,"usgs":true,"family":"Shi","given":"Zhi","email":"","affiliations":[],"preferred":false,"id":352568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, James A.","contributorId":69289,"corporation":false,"usgs":true,"family":"Davis","given":"James A.","affiliations":[],"preferred":false,"id":352571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Veblen, David R.","contributorId":86472,"corporation":false,"usgs":true,"family":"Veblen","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":352572,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}