{"pageNumber":"650","pageRowStart":"16225","pageSize":"25","recordCount":40804,"records":[{"id":70046519,"text":"70046519 - 2013 - Microbial community composition and endolith colonization at an Arctic thermal spring are driven by calcite precipitation","interactions":[],"lastModifiedDate":"2013-10-23T13:33:55","indexId":"70046519","displayToPublicDate":"2013-06-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1549,"text":"Environmental Microbiology Reports","active":true,"publicationSubtype":{"id":10}},"title":"Microbial community composition and endolith colonization at an Arctic thermal spring are driven by calcite precipitation","docAbstract":"Environmental conditions shape community composition. Arctic thermal springs provide an opportunity to study how environmental gradients can impose strong selective pressures on microbial communities and provide a continuum of niche opportunities. We use microscopic and molecular methods to conduct a survey of microbial community composition at Troll Springs on Svalbard, Norway, in the high Arctic. Microorganisms there exist under a wide range of environmental conditions: in warm water as periphyton, in moist granular materials, and in cold, dry rock as endoliths. Troll Springs has two distinct ecosystems, aquatic and terrestrial, together in close proximity, with different underlying environmental factors shaping each microbial community. Periphyton are entrapped during precipitation of calcium carbonate from the spring's waters, providing microbial populations that serve as precursors for the development of endolithic communities. This process differs from most endolith colonization, in which the rock predates the communities that colonize it. Community composition is modulated as environmental conditions change within the springs. At Troll, the aquatic environments show a small number of dominant operational taxonomic units (OTUs) that are specific to each sample. The terrestrial environments show a more even distribution of OTUs common to multiple samples.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Microbiology Reports","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1758-2229.12063","usgsCitation":"Starke, V., Kirshtein, J., Fogel, M.L., and Steele, A., 2013, Microbial community composition and endolith colonization at an Arctic thermal spring are driven by calcite precipitation: Environmental Microbiology Reports, v. 5, no. 5, p. 648-659, https://doi.org/10.1111/1758-2229.12063.","productDescription":"12 p.","startPage":"648","endPage":"659","numberOfPages":"12","ipdsId":"IP-031295","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":273702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273701,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1758-2229.12063"}],"otherGeospatial":"Arctic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,51.2 ], [ -180.0,84.0 ], [ 180.0,84.0 ], [ 180.0,51.2 ], [ -180.0,51.2 ] ] ] } } ] }","volume":"5","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-08","publicationStatus":"PW","scienceBaseUri":"51badc53e4b02914c2497f6b","contributors":{"authors":[{"text":"Starke, Verena","contributorId":89792,"corporation":false,"usgs":true,"family":"Starke","given":"Verena","email":"","affiliations":[],"preferred":false,"id":479730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirshtein, Julie","contributorId":104371,"corporation":false,"usgs":true,"family":"Kirshtein","given":"Julie","email":"","affiliations":[],"preferred":false,"id":479732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fogel, Marilyn L.","contributorId":99699,"corporation":false,"usgs":true,"family":"Fogel","given":"Marilyn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479731,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steele, Andrew","contributorId":23830,"corporation":false,"usgs":true,"family":"Steele","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":479729,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040802,"text":"70040802 - 2013 - How runoff begins (and ends): characterizing hydrologic response at the catchment scale","interactions":[],"lastModifiedDate":"2013-07-15T09:41:16","indexId":"70040802","displayToPublicDate":"2013-06-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"How runoff begins (and ends): characterizing hydrologic response at the catchment scale","docAbstract":"Improved understanding of the complex dynamics associated with spatially and temporally variable runoff response is needed to better understand the hydrology component of interdisciplinary problems. The objective of this study was to quantitatively characterize the environmental controls on runoff generation for the range of different streamflow-generation mechanisms illustrated in the classic Dunne diagram. The comprehensive physics-based model of coupled surface-subsurface flow, InHM, is employed in a heuristic mode. InHM has been employed previously to successfully simulate the observed hydrologic response at four diverse, well-characterized catchments, which provides the foundation for this study. The C3 and CB catchments are located within steep, forested terrain; the TW and R5 catchments are located in gently sloping rangeland. The InHM boundary-value problems for these four catchments provide the corner-stones for alternative simulation scenarios designed to address the question of how runoff begins (and ends). Simulated rainfall-runoff events are used to systematically explore the impact of soil-hydraulic properties and rainfall characteristics. This approach facilitates quantitative analysis of both integrated and distributed hydrologic responses at high-spatial and temporal resolution over the wide range of environmental conditions represented by the four catchments. The results from 140 unique simulation scenarios illustrate how rainfall intensity/depth, subsurface permeability contrasts, characteristic curve shapes, and topography provide important controls on the hydrologic-response dynamics. The processes by which runoff begins (and ends) are shown, in large part, to be defined by the relative rates of rainfall, infiltration, lateral flow convergence, and storage dynamics within the variably saturated soil layers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/wrcr.20218","usgsCitation":"Mirus, B.B., and Loague, K., 2013, How runoff begins (and ends): characterizing hydrologic response at the catchment scale: Water Resources Research, v. 49, no. 5, p. 2987-3006, https://doi.org/10.1002/wrcr.20218.","productDescription":"20 p.","startPage":"2987","endPage":"3006","ipdsId":"IP-042285","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20218","text":"Publisher Index Page"},{"id":273681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273680,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20218"}],"volume":"49","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-31","publicationStatus":"PW","scienceBaseUri":"51badc16e4b02914c2497f67","contributors":{"authors":[{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":469059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loague, Keith","contributorId":22408,"corporation":false,"usgs":true,"family":"Loague","given":"Keith","affiliations":[],"preferred":false,"id":469060,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044589,"text":"70044589 - 2013 - Climate change winners: receding ice fields facilitate colony expansion and altered dynamics in an Adélie penguin metapopulation","interactions":[],"lastModifiedDate":"2013-06-13T13:54:25","indexId":"70044589","displayToPublicDate":"2013-06-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Climate change winners: receding ice fields facilitate colony expansion and altered dynamics in an Adélie penguin metapopulation","docAbstract":"There will be winners and losers as climate change alters the habitats of polar organisms. For an Adélie penguin (Pygoscelis adeliae) colony on Beaufort Island (Beaufort), part of a cluster of colonies in the southern Ross Sea, we report a recent population increase in response to increased nesting habitat as glaciers have receded. Emigration rates of birds banded as chicks on Beaufort to colonies on nearby Ross Island decreased after 2005 as available habitat on Beaufort increased, leading to altered dynamics of the metapopulation. Using aerial photography beginning in 1958 and modern satellite imagery, we measured change in area of available nesting habitat and population size of the Beaufort colony. Population size varied with available habitat, and both increased rapidly since the 1990s. In accord with glacial retreat, summer temperatures at nearby McMurdo Station increased by ~0.50°C per decade since the mid-1980s. Although the Ross Sea is likely to be the last ocean with an intact ecosystem, the recent retreat of ice fields at Beaufort that resulted in increased breeding habitat exemplifies a process that has been underway in the Ross Sea during the entire Holocene. Furthermore, our results are in line with predictions that major ice shelves and glaciers will retreat rapidly elsewhere in the Antarctic, potentially leading to increased breeding habitat for Adélie penguins. Results further indicated that satellite imagery may be used to estimate large changes in Adélie penguin populations, facilitating our understanding of metapopulation dynamics and environmental factors that influence regional populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0060568","usgsCitation":"LaRue, M.A., Ainley, D.G., Swanson, M., Dugger, K.M., Lyber, P.O., Barton, K., and Ballard, G., 2013, Climate change winners: receding ice fields facilitate colony expansion and altered dynamics in an Adélie penguin metapopulation: PLoS ONE, v. 8, no. 4, e60568, https://doi.org/10.1371/journal.pone.0060568.","productDescription":"e60568","ipdsId":"IP-041218","costCenters":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0060568","text":"Publisher Index Page"},{"id":273687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273686,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0060568"}],"otherGeospatial":"Ross Sea;Beaufort Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -160.0,66.0 ], [ -160.0,90.0 ], [ 150.0,90.0 ], [ 150.0,66.0 ], [ -160.0,66.0 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-03","publicationStatus":"PW","scienceBaseUri":"51badc15e4b02914c2497f63","contributors":{"authors":[{"text":"LaRue, Michelle A.","contributorId":20634,"corporation":false,"usgs":true,"family":"LaRue","given":"Michelle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":475920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ainley, David G.","contributorId":32039,"corporation":false,"usgs":false,"family":"Ainley","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":34154,"text":"Point Reyes Bird Observatory, Stinson Beach, CA","active":true,"usgs":false}],"preferred":false,"id":475921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Matt","contributorId":37624,"corporation":false,"usgs":true,"family":"Swanson","given":"Matt","email":"","affiliations":[],"preferred":false,"id":475923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":475922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyber, Phil O’B.","contributorId":7594,"corporation":false,"usgs":true,"family":"Lyber","given":"Phil","email":"","middleInitial":"O’B.","affiliations":[],"preferred":false,"id":475919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barton, Kerry","contributorId":65746,"corporation":false,"usgs":true,"family":"Barton","given":"Kerry","affiliations":[],"preferred":false,"id":475925,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ballard, Grant","contributorId":40499,"corporation":false,"usgs":true,"family":"Ballard","given":"Grant","affiliations":[],"preferred":false,"id":475924,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70118255,"text":"70118255 - 2013 - Characterisation of the Permafrost Carbon Pool","interactions":[],"lastModifiedDate":"2014-07-28T09:56:29","indexId":"70118255","displayToPublicDate":"2013-06-12T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Characterisation of the Permafrost Carbon Pool","docAbstract":"The current estimate of the soil organic carbon (SOC) pool in the northern permafrost region of 1672 Petagrams (Pg) C is much larger than previously reported and needs to be incorporated in global soil carbon (C) inventories. The Northern Circumpolar Soil Carbon Database (NCSCD), extended to include the range 0–300 cm, is now available online for wider use by the scientific community. An important future aim is to provide quantitative uncertainty ranges for C pool estimates. Recent studies have greatly improved understanding of the regional patterns, landscape distribution and vertical (soil horizon) partitioning of the permafrost C pool in the upper 3 m of soils. However, the deeper C pools in unconsolidated Quaternary deposits need to be better constrained. A general lability classification of the permafrost C pool should be developed to address potential C release upon thaw. The permafrost C pool and its dynamics are beginning to be incorporated into Earth System models, although key periglacial processes such as thermokarst still need to be properly represented to obtain a better quantification of the full permafrost C feedback on global climate change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Permafrost and Periglacial Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons","publisherLocation":"Sussex, England","doi":"10.1002/ppp.1782","usgsCitation":"Kuhry, P., Grosse, G., Harden, J., Hugelius, G., Koven, C., Ping, C., Schirrmeister, L., and Tarnocai, C., 2013, Characterisation of the Permafrost Carbon Pool: Permafrost and Periglacial Processes, v. 24, no. 2, p. 146-155, https://doi.org/10.1002/ppp.1782.","productDescription":"10 p.","startPage":"146","endPage":"155","numberOfPages":"10","costCenters":[],"links":[{"id":473748,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ppp.1782","text":"External Repository"},{"id":291108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291107,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ppp.1782"}],"volume":"24","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-06-12","publicationStatus":"PW","scienceBaseUri":"57f7f2cbe4b0bc0bec0a05d4","contributors":{"authors":[{"text":"Kuhry, P.","contributorId":57277,"corporation":false,"usgs":false,"family":"Kuhry","given":"P.","affiliations":[],"preferred":false,"id":496608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":496611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, J.W. 0000-0002-6570-8259","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":38585,"corporation":false,"usgs":true,"family":"Harden","given":"J.W.","affiliations":[],"preferred":false,"id":496606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hugelius, G.","contributorId":27338,"corporation":false,"usgs":true,"family":"Hugelius","given":"G.","affiliations":[],"preferred":false,"id":496604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koven, C.D.","contributorId":34017,"corporation":false,"usgs":true,"family":"Koven","given":"C.D.","affiliations":[],"preferred":false,"id":496605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ping, C.-L.","contributorId":60843,"corporation":false,"usgs":true,"family":"Ping","given":"C.-L.","email":"","affiliations":[],"preferred":false,"id":496609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schirrmeister, L.","contributorId":41355,"corporation":false,"usgs":true,"family":"Schirrmeister","given":"L.","affiliations":[],"preferred":false,"id":496607,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tarnocai, C.","contributorId":67391,"corporation":false,"usgs":true,"family":"Tarnocai","given":"C.","affiliations":[],"preferred":false,"id":496610,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046461,"text":"ofr20131117 - 2013 - Circulation exchange patterns in Sinclair Inlet, Washington","interactions":[],"lastModifiedDate":"2013-06-12T13:17:52","indexId":"ofr20131117","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","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":"2013-1117","title":"Circulation exchange patterns in Sinclair Inlet, Washington","docAbstract":"In 1994, the U.S. Geological Survey (USGS), in cooperation with the U.S. Navy, deployed three sets of moorings in Sinclair Inlet, which is a relatively small embayment on the western side of Puget Sound (fig. 1). This inlet is home to the Puget Sound Naval Shipyard. One purpose of the measurement program was to determine the transport pathways and fate of contaminants known to be present in Sinclair Inlet. Extensive descriptions of the program and the resultant information about contaminant pathways have been reported in Gartner and others (1998). This report primarily focused on the bottom boundary layer and the potential for resuspension and transport of sediments on the seabed in Sinclair Inlet as a result of tides and waves.  Recently (2013), interest in transport pathways for suspended and dissolved materials in Sinclair Inlet has been rekindled. In particular, the USGS scientists in Washington and California have been asked to reexamine the datasets collected in the earlier study to refine not only our understanding of transport pathways through the inlet, but to determine how those transport pathways are affected by subtidal currents, local wind stress, and fresh water inputs. Because the prior study focused on the bottom boundary layer and not the water column, a reanalysis of the datasets could increase our understanding of the dynamic forces that drive transport within and through the inlet. However, the early datasets are limited in scope and a comprehensive understanding of these transport processes may require more extensive datasets or the development of a detailed numerical model of transport processes for the inlet, or both.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131117","usgsCitation":"Noble, M.A., Rosenberger, K., Paulson, A.J., and Gartner, A.L., 2013, Circulation exchange patterns in Sinclair Inlet, Washington: U.S. Geological Survey Open-File Report 2013-1117, vi, 40 p., https://doi.org/10.3133/ofr20131117.","productDescription":"vi, 40 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":373,"text":"Marine Science Center","active":false,"usgs":true}],"links":[{"id":273648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131117.bmp"},{"id":273647,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1117/pdf/ofr20131117.pdf"},{"id":273646,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1117/"}],"country":"United States","state":"Washington","otherGeospatial":"Sinclair Inlet;Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.75,47.42 ], [ -122.75,47.75 ], [ -122.4,47.75 ], [ -122.4,47.42 ], [ -122.75,47.42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b98a5be4b07b9df6070f12","contributors":{"authors":[{"text":"Noble, Marlene A. mnoble@usgs.gov","contributorId":1429,"corporation":false,"usgs":true,"family":"Noble","given":"Marlene","email":"mnoble@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Kurt J.","contributorId":12934,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt J.","affiliations":[],"preferred":false,"id":479695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paulson, Anthony J. 0000-0002-2358-8834 apaulson@usgs.gov","orcid":"https://orcid.org/0000-0002-2358-8834","contributorId":5236,"corporation":false,"usgs":true,"family":"Paulson","given":"Anthony","email":"apaulson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":479694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gartner, Anne L.","contributorId":32620,"corporation":false,"usgs":true,"family":"Gartner","given":"Anne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479696,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046458,"text":"70046458 - 2013 - Direct estimation of diffuse gaseous emissions from coal fires: current methods and future directions","interactions":[],"lastModifiedDate":"2013-06-12T14:41:36","indexId":"70046458","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Direct estimation of diffuse gaseous emissions from coal fires: current methods and future directions","docAbstract":"Coal fires occur in nature spontaneously, contribute to increases in greenhouse gases, and emit atmospheric toxicants. Increasing interest in quantifying coal fire emissions has resulted in the adaptation and development of specialized approaches and adoption of numerical modeling techniques. Overview of these methods for direct estimation of diffuse gas emissions from coal fires is presented in this paper. Here we take advantage of stochastic Gaussian simulation to interpolate CO<sup>2</sup> fluxes measured using a dynamic closed chamber at the Ruth Mullins coal fire in Perry County, Kentucky. This approach allows for preparing a map of diffuse gas emissions, one of the two primary ways that gases emanate from coal fires, and establishing the reliability of the study both locally and for the entire fire. Future research directions include continuous and automated sampling to improve quantification of gaseous coal fire emissions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Coal Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2012.10.005","usgsCitation":"Engle, M.A., Olea, R., O’Keefe, J.M., Hower, J., and Geboy, N., 2013, Direct estimation of diffuse gaseous emissions from coal fires: current methods and future directions: International Journal of Coal Geology, v. 112, p. 164-172, https://doi.org/10.1016/j.coal.2012.10.005.","productDescription":"9 p.","startPage":"164","endPage":"172","ipdsId":"IP-037357","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273655,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2012.10.005"}],"volume":"112","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b98a5ce4b07b9df6070f1e","contributors":{"authors":[{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":479678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Keefe, Jennifer M. K.","contributorId":23047,"corporation":false,"usgs":true,"family":"O’Keefe","given":"Jennifer","email":"","middleInitial":"M. K.","affiliations":[],"preferred":false,"id":479676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":479677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geboy, Nicholas J. ngeboy@usgs.gov","contributorId":3860,"corporation":false,"usgs":true,"family":"Geboy","given":"Nicholas J.","email":"ngeboy@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479675,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046480,"text":"70046480 - 2013 - Numerical flow models and their calibration using tracer based ages","interactions":[],"lastModifiedDate":"2022-12-27T17:18:38.913441","indexId":"70046480","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Numerical flow models and their calibration using tracer based ages","docAbstract":"Any estimate of ‘age’ of a groundwater sample based on environmental tracers requires some form of geochemical model to interpret the tracer chemistry (chapter 3) and is, therefore, referred to in this chapter as a tracer model age. the tracer model age of a groundwater sample can be useful for obtaining information on the residence time and replenishment rate of an aquifer system, but that type of data is most useful when it can be incorporated with all other information that is known about the groundwater system under study. groundwater fl ow models are constructed of aquifer systems because they are usually the best way of incorporating all of the known information about the system in the context of a mathematical framework that constrains the model to follow the known laws of physics and chemistry as they apply to groundwater flow and transport. It is important that the purpose or objective of the study be identified first before choosing the type and complexity of the model to be constructed, and to make sure such a model is necessary. The purpose of a modelling study is most often to characterize the system within a numerical framework, such that the hydrological responses of the system can be tested under potential stresses that might be imposed given future development scenarios. As this manual discusses dating as it applies to old groundwater, most readers are likely to be interested in studying regional groundwater flow systems and their water resource potential.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Isotope Methods for Dating Old Groundwater","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"International Atomic Energy Agency","publisherLocation":"Vienna, Austria","usgsCitation":"Sanford, W., 2013, Numerical flow models and their calibration using tracer based ages, chap. 10 <i>of</i> Isotope Methods for Dating Old Groundwater, p. 245-258.","productDescription":"14 p.","startPage":"245","endPage":"258","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":273673,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273672,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www-pub.iaea.org/books/iaeabooks/8880/Isotope-Methods-for-Dating-Old-Groundwater"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b98a5de4b07b9df6070f32","contributors":{"authors":[{"text":"Sanford, W.","contributorId":76490,"corporation":false,"usgs":true,"family":"Sanford","given":"W.","email":"","affiliations":[],"preferred":false,"id":479717,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046477,"text":"70046477 - 2013 - Characterization and conceptualization of groundwater flow systems","interactions":[],"lastModifiedDate":"2021-11-05T15:42:23.360562","indexId":"70046477","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Characterization and conceptualization of groundwater flow systems","docAbstract":"This chapter discusses some of the fundamental concepts, data needs and approaches that aid in developing a general understanding of a groundwater system. Principles of the hydrological cycle are reviewed; the processes of recharge and discharge in aquifer systems; types of geological, hydrological and hydraulic data needed to describe the hydrogeological framework of an aquifer system; factors affecting the distribution of recharge to aquifers; and uses of groundwater chemistry, geochemical modelling, environmental tracers and age interpretations in groundwater studies. Together, these concepts and observations aid in developing a conceptualization of groundwater flow systems and provide input to the development of numerical models of a flow system. Conceptualization of the geology, hydrology, geochemistry, and hydrogeological and hydrochemical framework can be quite useful in planning, study design, guiding sampling campaigns, acquisition of new data and, ultimately, developing numerical models capable of assessing a wide variety of societal issues — for example, sustainability of groundwater resources in response to real or planned withdrawals from the system, CO<sub>2</sub> sequestration or other waste isolation issues (such as nuclear waste disposal).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Isotope Methods for Dating Old Groundwater","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"International Atomic Energy Agency","publisherLocation":"Vienna, Austria","usgsCitation":"Plummer, N., Sanford, W., and Glynn, P.D., 2013, Characterization and conceptualization of groundwater flow systems, chap. 2 <i>of</i> Isotope Methods for Dating Old Groundwater, p. 5-19.","productDescription":"15 p.","startPage":"5","endPage":"19","ipdsId":"IP-021043","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":273667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273666,"type":{"id":15,"text":"Index Page"},"url":"https://www-pub.iaea.org/books/iaeabooks/8880/Isotope-Methods-for-Dating-Old-Groundwater"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b98a58e4b07b9df6070f0e","contributors":{"authors":[{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":479707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanford, W. E. 0000-0002-6624-0280","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":102112,"corporation":false,"usgs":true,"family":"Sanford","given":"W. E.","affiliations":[],"preferred":false,"id":479708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glynn, P. D.","contributorId":7008,"corporation":false,"usgs":true,"family":"Glynn","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":479706,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046471,"text":"ofr20131058 - 2013 - Regional maps of subsurface geopressure gradients of the onshore and offshore Gulf of Mexico basin","interactions":[],"lastModifiedDate":"2013-06-12T21:18:17","indexId":"ofr20131058","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","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":"2013-1058","title":"Regional maps of subsurface geopressure gradients of the onshore and offshore Gulf of Mexico basin","docAbstract":"The U.S. Geological Survey created a comprehensive geopressure-gradient model of the regional pressure system spanning the onshore and offshore Gulf of Mexico basin, USA. This model was used to generate ten maps that included (1) five contour maps characterizing the depth to the surface defined by the first occurrence of isopressure gradients ranging from 0.60 psi/ft to 1.00 psi/ft, in 0.10-psi/ft increments; and (2) five supporting maps illustrating the spatial density of the data used to construct the contour maps. These contour maps of isopressure-gradients at various increments enable the identification and quantification of the occurrence, magnitude, location, and depth of the subsurface pressure system, which allows for the broad characterization of regions exhibiting overpressured, underpressured, and normally pressured strata.\n\nIdentification of overpressured regions is critical for exploration and evaluation of potential undiscovered hydrocarbon accumulations based on petroleum-generation pressure signatures and pressure-retention properties of reservoir seals. Characterization of normally pressured regions is essential for field development decisions such as determining the dominant production drive mechanisms, evaluating well placement and drainage patterns, and deciding on well stimulation methods such as hydraulic fracturing. Identification of underpressured regions is essential for evaluating the feasibility of geological sequestration and long-term containment of fluids such as supercritical carbon dioxide for alternative disposal methods of greenhouse gases.\n\nThis study is the first, quantitative investigation of the regional pressure systems of one of the most important petroleum provinces in the United States. Although this methodology was developed for pressure studies in the Gulf of Mexico basin, it is applicable to any basin worldwide.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131058","usgsCitation":"Burke, L.A., Kinney, S.A., Dubiel, R.F., and Pitman, J.K., 2013, Regional maps of subsurface geopressure gradients of the onshore and offshore Gulf of Mexico basin: U.S. Geological Survey Open-File Report 2013-1058, Maps: 3 Sheets: 89 x 41 inches, https://doi.org/10.3133/ofr20131058.","productDescription":"Maps: 3 Sheets: 89 x 41 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273663,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1058/OFR13-1058_sheet2.pdf"},{"id":273664,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1058/OFR13-1058_sheet3.pdf"},{"id":273661,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1058/"},{"id":273662,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1058/OFR13-1058_sheet1.pdf"},{"id":273665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131058.png"}],"otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.9,18.2 ], [ -97.9,30.4 ], [ -81.0,30.4 ], [ -81.0,18.2 ], [ -97.9,18.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b98a5ee4b07b9df6070f3e","contributors":{"authors":[{"text":"Burke, Lauri A. 0000-0002-2035-8048 lburke@usgs.gov","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":3859,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","email":"lburke@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubiel, Russell F. 0000-0002-1280-0350 rdubiel@usgs.gov","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":1294,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell","email":"rdubiel@usgs.gov","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479702,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044082,"text":"70044082 - 2013 - Interacting coastal based ecosystem services: recreation and water quality in Puget Sound, WA","interactions":[],"lastModifiedDate":"2013-06-12T15:39:57","indexId":"70044082","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Interacting coastal based ecosystem services: recreation and water quality in Puget Sound, WA","docAbstract":"Coastal recreation and water quality are major contributors to human well-being in coastal regions. They can also interact, creating opportunities for ecosystem based management, ecological restoration, and water quality improvement that can positively affect people and the environment. Yet the effect of environmental quality on human behavior is often poorly quantified, but commonly assumed in coastal ecosystem service studies. To clarify this effect we investigate a water quality dataset for evidence that environmental condition partially explains variation in recreational visitation, our indicator of human behavior. In Puget Sound, WA, we investigate variation in visitation in both visitation rate and fixed effects (FE) models. The visitation rate model relates the differences in annual recreational visitation among parks to environmental conditions, park characteristics, travel cost, and recreational demand. In our FE model we control for all time-invariant unobserved variables and compare monthly variation at the park level to determine how water quality affects visitation during the summer season. The results of our first model illustrate how visitation relates to various amenities and costs. In the FE analysis, monthly visitation was negatively related to water quality while controlling for monthly visitation trends. This indicates people are responding to changes in water quality, and an improvement would yield an increase in the value of recreation. Together, these results could help in prioritizing water quality improvements, could assist the creation of new parks or the modification of existing recreational infrastructure, and provide quantitative estimates for the expected benefits from potential changes in recreational visitation and water quality improvements. Our results also provide an example of how recreational visitation can be quantified and used in ecosystem service assessments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"Reston, VA","doi":"10.1371/journal.pone.0056670","usgsCitation":"Kreitler, J., Papenfus, M., Byrd, K., and Labiosa, W., 2013, Interacting coastal based ecosystem services: recreation and water quality in Puget Sound, WA: PLoS ONE, v. 8, no. 2, e56670, https://doi.org/10.1371/journal.pone.0056670.","productDescription":"e56670","ipdsId":"IP-030510","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0056670","text":"Publisher Index Page"},{"id":273658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273657,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0056670"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.73,46.77 ], [ -124.73,49.23 ], [ -121.67,49.23 ], [ -121.67,46.77 ], [ -124.73,46.77 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-22","publicationStatus":"PW","scienceBaseUri":"51b98a5de4b07b9df6070f2a","contributors":{"authors":[{"text":"Kreitler, Jason","contributorId":68205,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","affiliations":[],"preferred":false,"id":474797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papenfus, Michael","contributorId":20636,"corporation":false,"usgs":true,"family":"Papenfus","given":"Michael","affiliations":[],"preferred":false,"id":474795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Kristin","contributorId":82053,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","affiliations":[],"preferred":false,"id":474798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labiosa, William","contributorId":26421,"corporation":false,"usgs":true,"family":"Labiosa","given":"William","affiliations":[],"preferred":false,"id":474796,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046409,"text":"70046409 - 2013 - Colonization of steelhead in a natal stream after barrier removal","interactions":[],"lastModifiedDate":"2013-06-12T10:25:52","indexId":"70046409","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Colonization of steelhead in a natal stream after barrier removal","docAbstract":"Colonization of vacant habitats is an important process for supporting the long-term persistence of populations and species. We used a before–after experimental design to follow the process of colonization by steelhead Oncorhynchus mykiss (anadromous Rainbow Trout) at six monitoring sites in a natal stream, Beaver Creek, after the modification or removal of numerous stream passage barriers. Juvenile O. mykiss were collected at monitoring sites by using a backpack electrofisher. Passive integrated transponder tags and instream tag reading stations were used in combination with 16 microsatellite markers to determine the source, extent, and success of migrant O. mykiss after implementation of the barrier removal projects. Steelhead migrated into the study area during the first spawning season after passage was established. Hatchery steelhead, although comprising more than 80% of the adult returns to the Methow River basin, constituted a small proportion (23%) of the adult O. mykiss colonizing the study area. Adult steelhead and fluvial Rainbow Trout entered the stream during the first spawning season after barrier removal and were passing the uppermost tag reader (12 km upstream from the mouth) 3–4 years later. Parr that were tagged in Beaver Creek returned as adults, indicating establishment of the anadromous life history in the study area. Population genetic measures at the lower two monitoring sites (lower 4 km of Beaver Creek) significantly changed within one generation (4–5 years). Colonization and expansion of steelhead occurred more slowly than expected due to the low number of adults migrating into the study area.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2013.788560","usgsCitation":"Weigel, D.E., Connolly, P., Martens, K.D., and Powell, M.S., 2013, Colonization of steelhead in a natal stream after barrier removal: Transactions of the American Fisheries Society, v. 142, no. 4, p. 920-930, https://doi.org/10.1080/00028487.2013.788560.","productDescription":"11 p.","startPage":"920","endPage":"930","ipdsId":"IP-037761","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2013.788560","text":"Publisher Index Page"},{"id":273635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273634,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2013.788560"}],"volume":"142","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-05-31","publicationStatus":"PW","scienceBaseUri":"51b98a5be4b07b9df6070f16","contributors":{"authors":[{"text":"Weigel, Dana E.","contributorId":79389,"corporation":false,"usgs":true,"family":"Weigel","given":"Dana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":479629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martens, Kyle D.","contributorId":12740,"corporation":false,"usgs":true,"family":"Martens","given":"Kyle","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":479630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Madison S.","contributorId":33609,"corporation":false,"usgs":true,"family":"Powell","given":"Madison","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":479631,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189948,"text":"70189948 - 2013 - Phast4Windows: A 3D graphical user interface for the reactive-transport simulator PHAST","interactions":[],"lastModifiedDate":"2017-07-31T13:28:01","indexId":"70189948","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Phast4Windows: A 3D graphical user interface for the reactive-transport simulator PHAST","docAbstract":"<p><span>Phast4Windows is a Windows® program for developing and running groundwater-flow and reactive-transport models with the PHAST simulator. This graphical user interface allows definition of grid-independent spatial distributions of model properties—the porous media properties, the initial head and chemistry conditions, boundary conditions, and locations of wells, rivers, drains, and accounting zones—and other parameters necessary for a simulation. Spatial data can be defined without reference to a grid by drawing, by point-by-point definitions, or by importing files, including ArcInfo® shape and raster files. All definitions can be inspected, edited, deleted, moved, copied, and switched from hidden to visible through the data tree of the interface. Model features are visualized in the main panel of the interface, so that it is possible to zoom, pan, and rotate features in three dimensions (3D). PHAST simulates single phase, constant density, saturated groundwater flow under confined or unconfined conditions. Reactions among multiple solutes include mineral equilibria, cation exchange, surface complexation, solid solutions, and general kinetic reactions. The interface can be used to develop and run simple or complex models, and is ideal for use in the classroom, for analysis of laboratory column experiments, and for development of field-scale simulations of geochemical processes and contaminant transport.</span></p>","language":"English","publisher":"The Groundwater Association","doi":"10.1111/j.1745-6584.2012.00993.x","usgsCitation":"Charlton, S.R., and Parkhurst, D.L., 2013, Phast4Windows: A 3D graphical user interface for the reactive-transport simulator PHAST: Groundwater, v. 51, no. 4, p. 623-628, https://doi.org/10.1111/j.1745-6584.2012.00993.x.","productDescription":"6 p.","startPage":"623","endPage":"628","ipdsId":"IP-037472","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-09-24","publicationStatus":"PW","scienceBaseUri":"5980419de4b0a38ca278936e","contributors":{"authors":[{"text":"Charlton, Scott R. 0000-0001-7332-3394 charlton@usgs.gov","orcid":"https://orcid.org/0000-0001-7332-3394","contributorId":1632,"corporation":false,"usgs":true,"family":"Charlton","given":"Scott","email":"charlton@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parkhurst, David L. 0000-0003-3348-1544 dlpark@usgs.gov","orcid":"https://orcid.org/0000-0003-3348-1544","contributorId":1088,"corporation":false,"usgs":true,"family":"Parkhurst","given":"David","email":"dlpark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706851,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189083,"text":"70189083 - 2013 - The role of airborne mineral dusts in human disease","interactions":[],"lastModifiedDate":"2017-06-29T15:13:58","indexId":"70189083","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"The role of airborne mineral dusts in human disease","docAbstract":"<p><span>Exposure to fine particulate matter (PM) is generally acknowledged to increase risk for human morbidity and mortality. However, particulate matter (PM) research has generally examined anthropogenic (industry and combustion by-products) sources with few studies considering contributions from geogenic PM (produced from the Earth by natural processes, e.g., volcanic ash, windborne ash from wildfires, and mineral dusts) or geoanthropogenic PM (produced from natural sources by processes that are modified or enhanced by human activities, e.g., dusts from lakebeds dried by human removal of water, dusts produced from areas that have undergone desertification as a result of human practices). Globally, public health concerns are mounting, related to potential increases in dust emission from climate related changes such as desertification and the associated long range as well as local health effects. Recent epidemiological studies have identified associations between far-traveled dusts from primary sources and increased morbidity and mortality in Europe and Asia. This paper provides an outline of public health research and history as it relates to naturally occurring inorganic mineral dusts. We summarize results of current public health research and describe some of the many challenges related to understanding health effects from exposures to dust aerosols.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2012.12.001","usgsCitation":"Morman, S.A., and Plumlee, G.S., 2013, The role of airborne mineral dusts in human disease: Aeolian Research, v. 9, p. 203-212, https://doi.org/10.1016/j.aeolia.2012.12.001.","productDescription":"10 p.","startPage":"203","endPage":"212","ipdsId":"IP-040810","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c3e4b0d1f9f05067c9","contributors":{"authors":[{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702801,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189759,"text":"70189759 - 2013 - Inferring fault rheology from low-frequency earthquakes on the San Andreas","interactions":[],"lastModifiedDate":"2019-03-25T13:57:48","indexId":"70189759","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Inferring fault rheology from low-frequency earthquakes on the San Andreas","docAbstract":"<p><span>Families of recurring low-frequency earthquakes (LFEs) within nonvolcanic tremor (NVT) on the San Andreas fault in central California show strong sensitivity to shear stress induced by the daily tidal cycle. LFEs occur at all levels of the tidal shear stress and are in phase with the very small, ~400 Pa, stress amplitude. To quantitatively explain the correlation, we use a model from the existing literature that assumes the LFE sources are small, persistent regions that repeatedly fail during shear of a much larger scale, otherwise aseismically creeping fault zone. The LFE source patches see tectonic loading, creep of the surrounding fault which may be modulated by the tidal stress, and direct tidal loading. If the patches are small relative to the surrounding creeping fault then the stressing is dominated by fault creep, and if patch failure occurs at a threshold stress, then the resulting seismicity rate is proportional to the fault creep rate or fault zone strain rate. Using the seismicity rate as a proxy for strain rate and the tidal shear stress, we fit the data with possible fault rheologies that produce creep in laboratory experiments at temperatures of 400 to 600°C appropriate for the LFE source depth. The rheological properties of rock-forming minerals for dislocation creep and dislocation glide are not consistent with the observed fault creep because strong correlation between small stress perturbations and strain rate requires perturbation on the order of the ambient stress. The observed tidal modulation restricts ambient stress to be at most a few kilopascal, much lower than rock strength. A purely rate dependent friction is consistent with the observations only if the product of the friction rate dependence and effective normal stress is ~ 0.5 kPa. Extrapolating the friction rate strengthening dependence of phyllosilicates (talc) to depth would require the effective normal stress to be ~50 kPa, implying pore pressure is lithostatic. If the LFE source is on the order of tens of meters, as required by the model, rate-weakening friction rate dependence (e.g., olivine) at 400 to 600°C requires that the minimum effective pressure at the LFE source is ~ 2.5 MPa.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JB010118","usgsCitation":"Beeler, N.M., Thomas, A., Bürgmann, R., and Shelly, D.R., 2013, Inferring fault rheology from low-frequency earthquakes on the San Andreas: Journal of Geophysical Research, v. 118, no. 11, p. 5976-5990, https://doi.org/10.1002/2013JB010118.","productDescription":"15 p.","startPage":"5976","endPage":"5990","ipdsId":"IP-051647","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":473756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jb010118","text":"Publisher Index Page"},{"id":344245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"San Andreas fault","volume":"118","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-27","publicationStatus":"PW","scienceBaseUri":"59770755e4b0ec1a48889fc8","contributors":{"authors":[{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Amanda","contributorId":195086,"corporation":false,"usgs":false,"family":"Thomas","given":"Amanda","affiliations":[],"preferred":false,"id":706226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bürgmann, Roland","contributorId":195087,"corporation":false,"usgs":false,"family":"Bürgmann","given":"Roland","affiliations":[],"preferred":false,"id":706227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":706228,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043615,"text":"70043615 - 2013 - Integrated environmental modeling: a vision and roadmap for the future","interactions":[],"lastModifiedDate":"2013-06-11T11:43:13","indexId":"70043615","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Integrated environmental modeling: a vision and roadmap for the future","docAbstract":"Integrated environmental modeling (IEM) is inspired by modern environmental problems, decisions, and policies and enabled by transdisciplinary science and computer capabilities that allow the environment to be considered in a holistic way. The problems are characterized by the extent of the environmental system involved, dynamic and interdependent nature of stressors and their impacts, diversity of stakeholders, and integration of social, economic, and environmental considerations. IEM provides a science-based structure to develop and organize relevant knowledge and information and apply it to explain, explore, and predict the behavior of environmental systems in response to human and natural sources of stress. During the past several years a number of workshops were held that brought IEM practitioners together to share experiences and discuss future needs and directions. In this paper we organize and present the results of these discussions. IEM is presented as a landscape containing four interdependent elements: applications, science, technology, and community. The elements are described from the perspective of their role in the landscape, current practices, and challenges that must be addressed. Workshop participants envision a global scale IEM community that leverages modern technologies to streamline the movement of science-based knowledge from its sources in research, through its organization into databases and models, to its integration and application for problem solving purposes. Achieving this vision will require that the global community of IEM stakeholders transcend social, and organizational boundaries and pursue greater levels of collaboration. Among the highest priorities for community action are the development of standards for publishing IEM data and models in forms suitable for automated discovery, access, and integration; education of the next generation of environmental stakeholders, with a focus on transdisciplinary research, development, and decision making; and providing a web-based platform for community interactions (e.g., continuous virtual workshops).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Modelling and Software","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2012.09.006","usgsCitation":"Laniak, G.F., Olchin, G., Goodall, J., Voinov, A., Hill, M., Glynn, P., Whelan, G., Geller, G., Quinn, N., Blind, M., Peckham, S., Reaney, S., Gaber, N., Kennedy, P.R., and Hughes, A., 2013, Integrated environmental modeling: a vision and roadmap for the future: Environmental Modelling and Software, v. 39, p. 3-23, https://doi.org/10.1016/j.envsoft.2012.09.006.","productDescription":"21 p.","startPage":"3","endPage":"23","ipdsId":"IP-039331","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":473755,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nora.nerc.ac.uk/id/eprint/20718/1/Integrated%20Environmental%20Monitoring%20Paper%20%28final%209-2-12%29.pdf","text":"External Repository"},{"id":273604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267571,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2012.09.006"}],"volume":"39","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b838dce4b03203c522b18e","contributors":{"authors":[{"text":"Laniak, Gerard F.","contributorId":7161,"corporation":false,"usgs":true,"family":"Laniak","given":"Gerard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":473972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olchin, Gabriel","contributorId":87439,"corporation":false,"usgs":true,"family":"Olchin","given":"Gabriel","email":"","affiliations":[],"preferred":false,"id":473985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodall, Jonathan","contributorId":10314,"corporation":false,"usgs":true,"family":"Goodall","given":"Jonathan","affiliations":[],"preferred":false,"id":473973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voinov, Alexey","contributorId":23046,"corporation":false,"usgs":true,"family":"Voinov","given":"Alexey","affiliations":[],"preferred":false,"id":473975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Mary","contributorId":48169,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","affiliations":[],"preferred":false,"id":473978,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glynn, Pierre","contributorId":88248,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":473986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whelan, Gene","contributorId":42859,"corporation":false,"usgs":false,"family":"Whelan","given":"Gene","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":473977,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Geller, Gary","contributorId":81395,"corporation":false,"usgs":true,"family":"Geller","given":"Gary","affiliations":[],"preferred":false,"id":473983,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Quinn, Nigel","contributorId":58169,"corporation":false,"usgs":true,"family":"Quinn","given":"Nigel","affiliations":[],"preferred":false,"id":473979,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Blind, Michiel","contributorId":20236,"corporation":false,"usgs":true,"family":"Blind","given":"Michiel","email":"","affiliations":[],"preferred":false,"id":473974,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Peckham, Scott","contributorId":86247,"corporation":false,"usgs":true,"family":"Peckham","given":"Scott","affiliations":[],"preferred":false,"id":473984,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reaney, Sim","contributorId":79008,"corporation":false,"usgs":true,"family":"Reaney","given":"Sim","email":"","affiliations":[],"preferred":false,"id":473982,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gaber, Noha","contributorId":78227,"corporation":false,"usgs":false,"family":"Gaber","given":"Noha","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":473981,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kennedy, Philip R.","contributorId":63703,"corporation":false,"usgs":false,"family":"Kennedy","given":"Philip","email":"","middleInitial":"R.","affiliations":[{"id":12587,"text":"Olympic National Park, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":473980,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hughes, Andrew","contributorId":34411,"corporation":false,"usgs":false,"family":"Hughes","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":473976,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70044503,"text":"70044503 - 2013 - Case study Middle Rio Grande Basin, New Mexico, USA","interactions":[],"lastModifiedDate":"2022-12-27T16:36:10.676771","indexId":"70044503","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"Case study Middle Rio Grande Basin, New Mexico, USA","docAbstract":"Chemical and isotopic patterns in groundwater can record characteristics of water sources, flow directions, and groundwater-age information.  This hydrochemical information can be useful in refining conceptualization of groundwater flow, in calibration of numerical models of groundwater flow, and in estimation of paleo and modern recharge rates.  This case study shows how chemical and isotopic data were used to characterize sources and flow of groundwater in the Middle Rio Grande Basin (MRGB) of New Mexico, USA. The <sup>14</sup>C model  ages of the groundwater samples are on the tens of thousands of year timescale.  These data changed some of the prevailing ideas about flow in the MRGB, and were used to improve a numerical model of the aquifer system.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Isotope Methods for Dating Old Groundwater","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"International Atomic Energy Agency","publisherLocation":"Vienna, Austria","usgsCitation":"Plummer, N., and Sanford, W., 2013, Case study Middle Rio Grande Basin, New Mexico, USA, chap. 12 <i>of</i> Isotope Methods for Dating Old Groundwater, p. 273-295.","productDescription":"23 p.","startPage":"273","endPage":"295","ipdsId":"IP-017072","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":273618,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273614,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www-pub.iaea.org/books/iaeabooks/8880/Isotope-Methods-for-Dating-Old-Groundwater"}],"country":"United States","state":"New Mexico","otherGeospatial":"Middle Rio Grande Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5,34.25 ], [ -107.5,35.75 ], [ -106.0,35.75 ], [ -106.0,34.25 ], [ -107.5,34.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b838d8e4b03203c522b182","contributors":{"authors":[{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanford, W.","contributorId":76490,"corporation":false,"usgs":true,"family":"Sanford","given":"W.","email":"","affiliations":[],"preferred":false,"id":475757,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042649,"text":"70042649 - 2013 - Interactions between brown bears and chum salmon at McNeil River, Alaska","interactions":[],"lastModifiedDate":"2013-06-11T11:53:22","indexId":"70042649","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between brown bears and chum salmon at McNeil River, Alaska","docAbstract":"Predation on returning runs of adult salmon (Oncorhynchus spp.) can have a large influence on their spawning success. At McNeil River State Game Sanctuary (MRSGS), Alaska, brown bears (Ursus arctos) congregate in high numbers annually along the lower McNeil River to prey upon returning adult chum salmon (O. keta). Low chum salmon escapements into McNeil River since the late 1990s have been proposed as a potential factor contributing to concurrent declines in bear numbers. The objective of this study was to determine the extent of bear predation on chum salmon in McNeil River, especially on pre-spawning fish, and use those data to adjust the escapement goal for the river. In 2005 and 2006, 105 chum salmon were radiotagged at the river mouth and tracked to determine cause and location of death. Below the falls, predators consumed 99% of tagged fish, killing 59% of them before they spawned. Subsequently, the escapement goal was nearly doubled to account for this pre-spawning mortality and to ensure enough salmon to sustain both predators and prey. This approach to integrated fish and wildlife management at MRSGS can serve as a model for other systems where current salmon escapement goals may not account for pre-spawning mortality.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Bear Research and Management","doi":"10.2192/URSUS-D-12-00006.1","usgsCitation":"Peirce, J., Otis, E.O., Wipfli, M.S., and Follmann, E., 2013, Interactions between brown bears and chum salmon at McNeil River, Alaska: Ursus, v. 24, no. 1, p. 42-53, https://doi.org/10.2192/URSUS-D-12-00006.1.","productDescription":"12 p.","startPage":"42","endPage":"53","ipdsId":"IP-043218","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273605,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2192/URSUS-D-12-00006.1"}],"country":"United States","state":"Alaska","otherGeospatial":"Mcneil River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -154.683928,58.939429 ], [ -154.683928,59.149124 ], [ -154.243941,59.149124 ], [ -154.243941,58.939429 ], [ -154.683928,58.939429 ] ] ] } } ] }","volume":"24","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b838dce4b03203c522b192","contributors":{"authors":[{"text":"Peirce, Joshua","contributorId":42510,"corporation":false,"usgs":true,"family":"Peirce","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":471987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otis, Edward O.","contributorId":19065,"corporation":false,"usgs":true,"family":"Otis","given":"Edward","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":471986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":471985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Follmann, Erich H.","contributorId":75049,"corporation":false,"usgs":true,"family":"Follmann","given":"Erich H.","affiliations":[],"preferred":false,"id":471988,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047853,"text":"70047853 - 2013 - A domain decomposition approach to implementing fault slip in finite-element models of quasi-static and dynamic crustal deformation","interactions":[],"lastModifiedDate":"2017-11-27T13:06:23","indexId":"70047853","displayToPublicDate":"2013-06-10T07:31:38","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"A domain decomposition approach to implementing fault slip in finite-element models of quasi-static and dynamic crustal deformation","docAbstract":"We employ a domain decomposition approach with Lagrange multipliers to implement fault slip in a finite-element code, PyLith, for use in both quasi-static and dynamic crustal deformation applications. This integrated approach to solving both quasi-static and dynamic simulations leverages common finite-element data structures and implementations of various boundary conditions, discretization schemes, and bulk and fault rheologies. We have developed a custom preconditioner for the Lagrange multiplier portion of the system of equations that provides excellent scalability with problem size compared to conventional additive Schwarz methods. We demonstrate application of this approach using benchmarks for both quasi-static viscoelastic deformation and dynamic spontaneous rupture propagation that verify the numerical implementation in PyLith.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/jgrb.50217","usgsCitation":"Aagaard, B.T., Knepley, M., and Williams, C., 2013, A domain decomposition approach to implementing fault slip in finite-element models of quasi-static and dynamic crustal deformation: Journal of Geophysical Research B: Solid Earth, v. 118, no. 6, p. 3059-3079, https://doi.org/10.1002/jgrb.50217.","productDescription":"21 p.","startPage":"3059","endPage":"3079","ipdsId":"IP-045732","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473758,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1308.5846","text":"External Repository"},{"id":277066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277064,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50217"}],"volume":"118","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-10","publicationStatus":"PW","scienceBaseUri":"521f1be0e4b0f8bf2b0760b9","contributors":{"authors":[{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":483151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knepley, M.G.","contributorId":76634,"corporation":false,"usgs":true,"family":"Knepley","given":"M.G.","affiliations":[],"preferred":false,"id":483152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, C.A.","contributorId":79571,"corporation":false,"usgs":true,"family":"Williams","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":483153,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004040,"text":"70004040 - 2013 - Circuit theory and model-based inference for landscape connectivity","interactions":[],"lastModifiedDate":"2015-06-17T13:34:29","indexId":"70004040","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2527,"text":"Journal of the American Statistical Association","active":true,"publicationSubtype":{"id":10}},"title":"Circuit theory and model-based inference for landscape connectivity","docAbstract":"<p>Circuit theory has seen extensive recent use in the field of ecology, where it is often applied to study functional connectivity. The landscape is typically represented by a network of nodes and resistors, with the resistance between nodes a function of landscape characteristics. The effective distance between two locations on a landscape is represented by the resistance distance between the nodes in the network. Circuit theory has been applied to many other scientific fields for exploratory analyses, but parametric models for circuits are not common in the scientific literature. To model circuits explicitly, we demonstrate a link between Gaussian Markov random fields and contemporary circuit theory using a covariance structure that induces the necessary resistance distance. This provides a parametric model for second-order observations from such a system. In the landscape ecology setting, the proposed model provides a simple framework where inference can be obtained for effects that landscape features have on functional connectivity. We illustrate the approach through a landscape genetics study linking gene flow in alpine chamois (Rupicapra rupicapra) to the underlying landscape.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01621459.2012.724647","usgsCitation":"Hanks, E., and Hooten, M., 2013, Circuit theory and model-based inference for landscape connectivity: Journal of the American Statistical Association, v. 108, no. 501, p. 22-33, https://doi.org/10.1080/01621459.2012.724647.","productDescription":"12 p.","startPage":"22","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029811","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273490,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01621459.2012.724647"}],"volume":"108","issue":"501","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e759e4b0097a7158ab41","contributors":{"authors":[{"text":"Hanks, Ephraim M.","contributorId":104630,"corporation":false,"usgs":true,"family":"Hanks","given":"Ephraim M.","affiliations":[],"preferred":false,"id":350280,"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":350279,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046356,"text":"sim3247 - 2013 - Geologic map of the Winslow 30’ × 60’ quadrangle, Coconino and Navajo Counties, northern Arizona","interactions":[],"lastModifiedDate":"2023-06-05T15:19:50.177113","indexId":"sim3247","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3247","title":"Geologic map of the Winslow 30’ × 60’ quadrangle, Coconino and Navajo Counties, northern Arizona","docAbstract":"The Winslow 30’ × 60’ quadrangle encompasses approximately 5,018 km<sup>2</sup> (1,960 mi<sup>2</sup>) within Coconino and Navajo Counties of northern Arizona. It is characterized by gently dipping Paleozoic and Mesozoic strata that dip 1° to 2° northeastward in the southwestern part of the quadrangle and become nearly flat-lying in the northeastern part of the quadrangle. In the northeastern part, a shallow Cenozoic erosional basin developed about 20 million years ago, which subsequently was filled with flat-lying Miocene and Pliocene lacustrine sediments of the Bidahochi Formation, as well as associated volcanic rocks of the Hopi Buttes Volcanic Field. The lacustrine sediments and volcanic rocks unconformably overlie Triassic, Jurassic, and Cretaceous strata.\n\nBeginning about early Pliocene time, the Little Colorado River and its tributaries began to remove large volumes of Paleozoic and Mesozoic bedrock from the map area. This erosional development has continued through Pleistocene and Holocene time. Fluvial sediments accumulated episodically throughout this erosional cycle, as indicated by isolated Pliocene(?) and Pleistocene Little Colorado River terrace-gravel deposits on Tucker Mesa and Toltec Divide west of Winslow and younger terrace-gravel deposits along the margins of the Little Colorado River Valley. These gravel deposits suggest that the ancestral Little Colorado River and its valley has eroded and migrated northeastward toward its present location and largely parallels the strike of the Chinle Formation.\n\nToday, the Little Colorado River meanders within a 5-km (3-mi) wide valley between Winslow and Leupp, where soft strata of the Chinle Formation is mostly covered by an unknown thickness of Holocene flood-plain deposits. In modern times, the Little Colorado River channel has changed its position as much as a 1.5 km (1 mi) during flood events, but for much of the year the channel is a dry river bed. Surficial alluvial and eolian deposits cover extensive parts of the bedrock outcrops over the entire Winslow quadrangle.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3247","collaboration":"Prepared in cooperation with the Navajo Nation","usgsCitation":"Billingsley, G.H., Block, D.L., and Redsteer, M.H., 2013, Geologic map of the Winslow 30’ × 60’ quadrangle, Coconino and Navajo Counties, northern Arizona: U.S. Geological Survey Scientific Investigations Map 3247, Pamphlet: iii, 25 p.; 3Plates: 38.01 x 5032 inches or smaller; Database; Metadata, https://doi.org/10.3133/sim3247.","productDescription":"Pamphlet: iii, 25 p.; 3Plates: 38.01 x 5032 inches or smaller; Database; Metadata","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":273523,"rank":9,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273517,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_sheet1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":273518,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_sheet2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":273519,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_sheet3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":417737,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98539.htm","linkFileType":{"id":5,"text":"html"}},{"id":273516,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":273521,"rank":2,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3247/SIM3247.zip"},{"id":273520,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_metadata.pdf"},{"id":273515,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3247/","linkFileType":{"id":5,"text":"html"}},{"id":273522,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_Winslow_Quad_Base_DRG.tif"}],"country":"United States","state":"Arizona","county":"Coconino County, Navajo County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,35.0 ], [ -111,35.5 ], [ -110.0,35.5 ], [ -110.0,35.0 ], [ -111,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f2cbe4b0bc0bec0a05d6","contributors":{"authors":[{"text":"Billingsley, George H.","contributorId":20711,"corporation":false,"usgs":true,"family":"Billingsley","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":479544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Block, Debra L. 0000-0001-7348-3064 dblock@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-3064","contributorId":3587,"corporation":false,"usgs":true,"family":"Block","given":"Debra","email":"dblock@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":479543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Redsteer, Margaret Hiza 0000-0003-2851-2502","orcid":"https://orcid.org/0000-0003-2851-2502","contributorId":54335,"corporation":false,"usgs":true,"family":"Redsteer","given":"Margaret","email":"","middleInitial":"Hiza","affiliations":[],"preferred":false,"id":479545,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041504,"text":"70041504 - 2013 - Temporal variation and scale in movement-based resource selection functions","interactions":[],"lastModifiedDate":"2013-12-02T09:44:44","indexId":"70041504","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3475,"text":"Statistical Methodology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variation and scale in movement-based resource selection functions","docAbstract":"A common population characteristic of interest in animal ecology studies pertains to the selection of resources. That is, given the resources available to animals, what do they ultimately choose to use? A variety of statistical approaches have been employed to examine this question and each has advantages and disadvantages with respect to the form of available data and the properties of estimators given model assumptions. A wealth of high resolution telemetry data are now being collected to study animal population movement and space use and these data present both challenges and opportunities for statistical inference. We summarize traditional methods for resource selection and then describe several extensions to deal with measurement uncertainty and an explicit movement process that exists in studies involving high-resolution telemetry data. Our approach uses a correlated random walk movement model to obtain temporally varying use and availability distributions that are employed in a weighted distribution context to estimate selection coefficients. The temporally varying coefficients are then weighted by their contribution to selection and combined to provide inference at the population level. The result is an intuitive and accessible statistical procedure that uses readily available software and is computationally feasible for large datasets. These methods are demonstrated using data collected as part of a large-scale mountain lion monitoring study in Colorado, USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Statistical Methodology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.stamet.2012.12.001","usgsCitation":"Hooten, M., Hanks, E., Johnson, D., and Alldredge, M., 2013, Temporal variation and scale in movement-based resource selection functions: Statistical Methodology, v. 17, p. 82-98, https://doi.org/10.1016/j.stamet.2012.12.001.","productDescription":"17 p.","startPage":"82","endPage":"98","ipdsId":"IP-038933","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273501,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.stamet.2012.12.001"},{"id":273503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e75ce4b0097a7158ab65","contributors":{"authors":[{"text":"Hooten, M.B.","contributorId":50261,"corporation":false,"usgs":true,"family":"Hooten","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":469866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanks, E.M.","contributorId":104305,"corporation":false,"usgs":true,"family":"Hanks","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":469868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, D.S.","contributorId":30485,"corporation":false,"usgs":true,"family":"Johnson","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":469865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alldredge, M.W.","contributorId":50263,"corporation":false,"usgs":true,"family":"Alldredge","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":469867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040701,"text":"70040701 - 2013 - Fragmentation and thermal risks from climate change interact to affect persistence of native trout in the Colorado River basin","interactions":[],"lastModifiedDate":"2016-04-12T16:41:44","indexId":"70040701","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Fragmentation and thermal risks from climate change interact to affect persistence of native trout in the Colorado River basin","docAbstract":"<div class=\"page\" title=\"Page 1\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p><span>Impending changes in climate will interact with other stressors to threaten aquatic ecosystems and their biota. Native Colorado River cutthroat trout (CRCT; </span><i><span>Oncorhynchus clarkii pleuriticus</span></i><span>) are now relegated to 309 isolated high-elevation (</span><span>&gt;</span><span>1700 m) headwater stream fragments in the Upper Colorado River Basin, owing to past nonnative trout invasions and habitat loss. Predicted changes in climate (i.e., temperature and precipitation) and resulting changes in stochastic physical disturbances (i.e., wildfire, debris flow, and channel drying and freezing) could further threaten the remaining CRCT populations. We developed an empirical model to predict stream temperatures at the fragment scale from downscaled climate projections along with geomorphic and landscape variables. We coupled these spatially explicit predictions of stream temperature with a Bayesian Network (BN) model that integrates stochastic risks from fragmentation to project persistence of CRCT populations across the upper Colorado River basin to 2040 and 2080. Overall, none of the populations are at risk from acute mortality resulting from high temperatures during the warmest summer period. In contrast, only 37% of populations have a greater than or equal to&nbsp;</span><span>90% chance of persistence for 70 years (similar to the typical benchmark for conservation), primarily owing to fragmentation. Populations in short stream fragments </span><span>&lt;</span><span>7 km long, and those at the lowest elevations, are at the highest risk of extirpation. Therefore, interactions of stochastic disturbances with fragmentation are projected to be greater threats than warming for CRCT populations. The reason for this paradox is that past nonnative trout invasions and habitat loss have restricted most CRCT populations to high-elevation stream fragments that are buffered from the potential consequences of warming, but at risk of extirpation from stochastic events. The greatest conservation need is for management to increase fragment lengths to forestall these risks.&nbsp;</span></p>\n</div>\n</div>\n</div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12136","usgsCitation":"Roberts, J., Fausch, K., Peterson, D.P., and Hooten, M., 2013, Fragmentation and thermal risks from climate change interact to affect persistence of native trout in the Colorado River basin: Global Change Biology, v. 19, no. 5, p. 1383-1398, https://doi.org/10.1111/gcb.12136.","productDescription":"16 p.","startPage":"1383","endPage":"1398","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037241","costCenters":[],"links":[{"id":273486,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n  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P.","contributorId":46396,"corporation":false,"usgs":true,"family":"Peterson","given":"Douglas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":468826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":468823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040670,"text":"70040670 - 2013 - Spatial occupancy models for large data sets","interactions":[],"lastModifiedDate":"2013-06-10T11:18:23","indexId":"70040670","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial occupancy models for large data sets","docAbstract":"Since its development, occupancy modeling has become a popular and useful tool for ecologists wishing to learn about the dynamics of species occurrence over time and space. Such models require presence–absence data to be collected at spatially indexed survey units. However, only recently have researchers recognized the need to correct for spatially induced overdisperison by explicitly accounting for spatial autocorrelation in occupancy probability. Previous efforts to incorporate such autocorrelation have largely focused on logit-normal formulations for occupancy, with spatial autocorrelation induced by a random effect within a hierarchical modeling framework. Although useful, computational time generally limits such an approach to relatively small data sets, and there are often problems with algorithm instability, yielding unsatisfactory results. Further, recent research has revealed a hidden form of multicollinearity in such applications, which may lead to parameter bias if not explicitly addressed. Combining several techniques, we present a unifying hierarchical spatial occupancy model specification that is particularly effective over large spatial extents. This approach employs a probit mixture framework for occupancy and can easily accommodate a reduced-dimensional spatial process to resolve issues with multicollinearity and spatial confounding while improving algorithm convergence. Using open-source software, we demonstrate this new model specification using a case study involving occupancy of caribou (Rangifer tarandus) over a set of 1080 survey units spanning a large contiguous region (108 000 km<sup>2</sup>) in northern Ontario, Canada. Overall, the combination of a more efficient specification and open-source software allows for a facile and stable implementation of spatial occupancy models for large data sets.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","doi":"10.1890/12-0564.1","usgsCitation":"Johnson, D., Conn, P.B., Hooten, M., Ray, J., and Pond, B.A., 2013, Spatial occupancy models for large data sets: Ecology, v. 94, no. 4, p. 801-808, https://doi.org/10.1890/12-0564.1.","productDescription":"8 p.","startPage":"801","endPage":"808","ipdsId":"IP-036098","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473764,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/12-0564.1","text":"Publisher Index Page"},{"id":273500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273496,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0564.1"}],"volume":"94","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e75be4b0097a7158ab5d","contributors":{"authors":[{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":468763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conn, Paul B.","contributorId":87440,"corporation":false,"usgs":true,"family":"Conn","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":468761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, Justina C.","contributorId":69043,"corporation":false,"usgs":true,"family":"Ray","given":"Justina C.","affiliations":[],"preferred":false,"id":468764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pond, Bruce A.","contributorId":43659,"corporation":false,"usgs":true,"family":"Pond","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468762,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040669,"text":"70040669 - 2013 - At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull","interactions":[],"lastModifiedDate":"2013-06-10T11:13:09","indexId":"70040669","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull","docAbstract":"Strong and predictable environmental variability can reward flexible behaviors among animals. We used long-term records of activity data that cover several lunar cycles to investigate whether behavior at-sea of swallow-tailed gulls Creagrus furcatus, a nocturnal pelagic seabird, varied with lunar phase in the Galápagos Islands. A Bayesian hierarchical model showed that nighttime at-sea activity of 37 breeding swallow-tailed gulls was clearly associated with changes in moon phase. Proportion of nighttime spent on water was highest during darker periods of the lunar cycle, coinciding with the cycle of the diel vertical migration (DVM) that brings prey to the sea surface at night. Our data show that at-sea behavior of a tropical seabird can vary with environmental changes, including lunar phase.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0056889","usgsCitation":"Cruz, S.M., Hooten, M., Huyvaert, K., Proano, C.B., Anderson, D.J., Afanasyev, V., and Wikelski, M., 2013, At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull: PLoS ONE, v. 8, no. 2, e56889, https://doi.org/10.1371/journal.pone.0056889.","productDescription":"e56889","ipdsId":"IP-037822","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0056889","text":"Publisher Index Page"},{"id":273495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273493,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0056889"}],"otherGeospatial":"Gal�pagos Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.01,-1.41 ], [ -92.01,1.66 ], [ -89.24,1.66 ], [ -89.24,-1.41 ], [ -92.01,-1.41 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-26","publicationStatus":"PW","scienceBaseUri":"51b6e758e4b0097a7158ab3d","contributors":{"authors":[{"text":"Cruz, Sebastian M.","contributorId":56136,"corporation":false,"usgs":true,"family":"Cruz","given":"Sebastian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin","contributorId":18254,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","affiliations":[],"preferred":false,"id":468755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huyvaert, Kathryn P.","contributorId":73906,"corporation":false,"usgs":true,"family":"Huyvaert","given":"Kathryn P.","affiliations":[],"preferred":false,"id":468758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Proano, Carolina B.","contributorId":94195,"corporation":false,"usgs":true,"family":"Proano","given":"Carolina","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, David J.","contributorId":15099,"corporation":false,"usgs":true,"family":"Anderson","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":468754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Afanasyev, Vsevolod","contributorId":18661,"corporation":false,"usgs":true,"family":"Afanasyev","given":"Vsevolod","email":"","affiliations":[],"preferred":false,"id":468756,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":468759,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046333,"text":"70046333 - 2013 - Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology","interactions":[],"lastModifiedDate":"2017-09-12T11:53:47","indexId":"70046333","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology","docAbstract":"Abstract. It is increasingly common for studies of animal ecology to use model-based predictions of environmental variables as explanatory or predictor variables, even though model prediction uncertainty is typically unknown. To demonstrate the potential for misleading inferences when model predictions with error are used in place of direct measurements, we compared snow water equivalent (SWE) and snow depth as predicted by the Snow Data Assimilation System (SNODAS) to field measurements of SWE and snow depth. We examined locations on elk (Cervus canadensis) winter ranges in western Wyoming, because modeled data such as SNODAS output are often used for inferences on elk ecology. Overall, SNODAS predictions tended to overestimate field measurements, prediction uncertainty was high, and the difference between SNODAS predictions and field measurements was greater in snow shadows for both snow variables compared to non-snow shadow areas. We used a simple simulation of snow effects on the probability of an elk being killed by a predator to show that, if SNODAS prediction uncertainty was ignored, we might have mistakenly concluded that SWE was not an important factor in where elk were killed in predatory attacks during the winter. In this simulation, we were interested in the effects of snow at finer scales (<1 km<sup>2</sup>) than the resolution of SNODAS. If bias were to decrease when SNODAS predictions are averaged over coarser scales, SNODAS would be applicable to population-level ecology studies. In our study, however, averaging predictions over moderate to broad spatial scales (9–2200 km<sup>2</sup>) did not reduce the differences between SNODAS predictions and field measurements. This study highlights the need to carefully evaluate two issues when using model output as an explanatory variable in subsequent analysis: (1) the model’s resolution relative to the scale of the ecological question of interest and (2) the implications of prediction uncertainty on inferences when using model predictions as explanatory or predictor variables.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-0959.1","usgsCitation":"Cross, P.C., Klaver, R.W., Brennan, A., Creel, S., Beckmann, J., Higgs, M., and Scurlock, B.M., 2013, Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology: Ecological Applications, v. 23, no. 3, p. 643-653, https://doi.org/10.1890/12-0959.1.","productDescription":"11 p.","startPage":"643","endPage":"653","numberOfPages":"11","additionalOnlineFiles":"N","ipdsId":"IP-032991","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473759,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/212","text":"External Repository"},{"id":273468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273467,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0959.1"}],"country":"United States","state":"Wyoming","volume":"23","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e75be4b0097a7158ab55","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":479473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brennan, Angela","contributorId":40871,"corporation":false,"usgs":true,"family":"Brennan","given":"Angela","affiliations":[],"preferred":false,"id":479476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Creel, Scott","contributorId":15089,"corporation":false,"usgs":true,"family":"Creel","given":"Scott","affiliations":[],"preferred":false,"id":479475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beckmann, Jon P.","contributorId":73098,"corporation":false,"usgs":true,"family":"Beckmann","given":"Jon P.","affiliations":[],"preferred":false,"id":479477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Higgs, Megan D.","contributorId":14718,"corporation":false,"usgs":true,"family":"Higgs","given":"Megan D.","affiliations":[],"preferred":false,"id":479474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":479479,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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