Middle Jurassic strata of the Gaikema Sandstone were deposited about 170 million years ago on a delta that was located on the western shoreline of the Cook Inlet basin (Detterman and Hartsock, 1966; LePain and others, 2011, 2013). The delta was built by swift, sediment-laden rivers that flowed southeastward from a mountainous volcanic terrane west of the Bruin Bay fault (fig. 6-1). Upon reaching the edge of the Jurassic sea, the rivers dumped abundant sand, gravel, and mud into a depocenter on the northern Iniskin Peninsula, about 240 km southwest of Anchorage (figs. 6-1, 6-2). This report provides a preliminary description and interpretation of a detailed, 34-m-thick measured section in the Gaikema Sandstone on the south shore of Chinitna Bay at latitude 59.816°N, longitude 153.168°W (figs. 6-1–6-3). The sandstone in this measured section exhibits hummocky cross lamination and other features suggestive of storm-influenced deposition on the shallow-marine, seaward margin of the Gaikema delta. Our field studies of the Gaikema Sandstone were conducted during 2013 and 2014 as part of a collaborative effort by the Alaska Division of Geological & Geophysical Surveys (DGGS), Alaska Division of Oil and Gas (DOG), and U.S. Geological Survey (USGS) to provide the public with reliable information on the geologic framework and petroleum resource potential of Cook Inlet basin (Gillis, 2013, 2014). Jurassic rocks in Cook Inlet, including the Gaikema Sandstone, are of economic interest because they could contain significant undiscovered petroleum resources (Bureau of Ocean Energy Management, 2011; Stanley and others, 2011a, 2011b, 2013a; LePain and others, 2013).
","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","doi":"10.14509/29461","collaboration":"Alaska Division of Geological and Geophysical Surveys and Alaska Division of Oil and Gas","usgsCitation":"Stanley, R.G., Helmold, K.P., and LePain, D., 2015, Storm-influenced deltaic deposits of the Middle Jurassic Gaikema Sandstone in a measured section on the northern Iniskin Peninsula, Cook Inlet basin, Alaska, 14 p. , https://doi.org/10.14509/29461.","productDescription":"14 p. ","startPage":"29","endPage":"42","ipdsId":"IP-062969","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29461","text":"Publisher Index Page"},{"id":328458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305559,"type":{"id":15,"text":"Index Page"},"url":"https://dggs.alaska.gov/pubs/id/29461"}],"country":"United States","state":"Alaska","otherGeospatial":"Iniskin peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.42407226562497,\n 59.77437430143953\n ],\n [\n -153.34030151367188,\n 59.77990443169585\n ],\n [\n -153.24554443359375,\n 59.74601800002021\n ],\n [\n -153.3746337890625,\n 59.70309199431278\n ],\n [\n -153.42269897460938,\n 59.76746035005358\n ],\n [\n -153.42407226562497,\n 59.77437430143953\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3de4b0571647d19acd","contributors":{"authors":[{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":564132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helmold, Kenneth P.","contributorId":69456,"corporation":false,"usgs":true,"family":"Helmold","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":564134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LePain, David L.","contributorId":105209,"corporation":false,"usgs":true,"family":"LePain","given":"David L.","affiliations":[],"preferred":false,"id":564135,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156261,"text":"70156261 - 2015 - Observation of sandhill cranes' (Grus canadensis) flight behavior in heavy fog","interactions":[],"lastModifiedDate":"2015-08-18T12:49:43","indexId":"70156261","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Observation of sandhill cranes' (Grus canadensis) flight behavior in heavy fog","docAbstract":"The behaviors of birds flying in low visibility conditions remain poorly understood. We had the opportunity to monitor Sandhill Cranes (Grus canadensis) flying in heavy fog with very low visibility during a comprehensive landscape use study of refuging cranes in the Horicon Marsh in southeastern Wisconsin. As part of the study, we recorded flight patterns of cranes with a portable marine radar at various locations and times of day, and visually counted cranes as they departed the roost in the morning. We compared flight patterns during a fog event with those recorded during clear conditions. In good visibility, cranes usually departed the night roost shortly after sunrise and flew in relatively straight paths toward foraging areas. In fog, cranes departed the roost later in the day, did not venture far from the roost, engaged in significantly more circling flight, and returned to the roost site rather than proceeding to foraging areas. We also noted that compared to mornings with good visibility, cranes flying in fog called more frequently than usual. The only time in this 2-year study that observers heard young of the year calling was during the fog event. The observed behavior of cranes circling and lingering in an area while flying in poor visibility conditions suggests that such situations may increase chances of colliding with natural or anthropogenic obstacles in the vicinity.
","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/wils-127-02-281-288.1","usgsCitation":"Kirsch, E.M., Wellik, M.J., Suarez, M.J., Diehl, R., Lutes, J., Woyczik, W., Krapfl, J., and Sojda, R.S., 2015, Observation of sandhill cranes' (Grus canadensis) flight behavior in heavy fog: Wilson Journal of Ornithology, v. 127, no. 2, p. 281-288, https://doi.org/10.1676/wils-127-02-281-288.1.","productDescription":"8 p.","startPage":"281","endPage":"288","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058176","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":306868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Horicon Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.6981201171875,\n 43.52191665082259\n ],\n [\n -88.6981201171875,\n 43.61395676232749\n ],\n [\n -88.59615325927734,\n 43.61395676232749\n ],\n [\n -88.59615325927734,\n 43.52191665082259\n ],\n [\n -88.6981201171875,\n 43.52191665082259\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d45732e4b0518e354694dc","contributors":{"authors":[{"text":"Kirsch, Eileen M. 0000-0002-2818-5022 ekirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-2818-5022","contributorId":3477,"corporation":false,"usgs":true,"family":"Kirsch","given":"Eileen","email":"ekirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":568419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wellik, Mike J. 0000-0002-3123-3988 mwellik@usgs.gov","orcid":"https://orcid.org/0000-0002-3123-3988","contributorId":4587,"corporation":false,"usgs":true,"family":"Wellik","given":"Mike","email":"mwellik@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":568420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suarez, Manuel J. msuarez@usgs.gov","contributorId":3086,"corporation":false,"usgs":true,"family":"Suarez","given":"Manuel","email":"msuarez@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":568421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diehl, Robert H.","contributorId":146608,"corporation":false,"usgs":false,"family":"Diehl","given":"Robert H.","affiliations":[{"id":13403,"text":"University of Southern Mississippi, Department of Biological Sciences, Hattiesburg, Mississippi, USA","active":true,"usgs":false}],"preferred":false,"id":568422,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lutes, Jim","contributorId":146609,"corporation":false,"usgs":false,"family":"Lutes","given":"Jim","email":"","affiliations":[{"id":16733,"text":"U.S. Fish and Wildlife Service, Leopold Wetland Management District","active":true,"usgs":false}],"preferred":false,"id":568423,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woyczik, Wendy","contributorId":146610,"corporation":false,"usgs":false,"family":"Woyczik","given":"Wendy","email":"","affiliations":[{"id":16734,"text":"U. S. Fish and Wildlife Service, Horicon National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":568424,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krapfl, Jon","contributorId":146611,"corporation":false,"usgs":false,"family":"Krapfl","given":"Jon","email":"","affiliations":[{"id":16734,"text":"U. S. Fish and Wildlife Service, Horicon National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":568425,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sojda, Richard S. sojda@usgs.gov","contributorId":1663,"corporation":false,"usgs":true,"family":"Sojda","given":"Richard","email":"sojda@usgs.gov","middleInitial":"S.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":568426,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70154749,"text":"70154749 - 2015 - Linking carbon and water limitations to drought-induced mortality of Pinus flexilis seedlings","interactions":[],"lastModifiedDate":"2018-09-04T15:43:43","indexId":"70154749","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3649,"text":"Tree Physiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Linking carbon and water limitations to drought-induced mortality of Pinus flexilis seedlings","title":"Linking carbon and water limitations to drought-induced mortality of Pinus flexilis seedlings","docAbstract":"Survival of tree seedlings at high elevations has been shown to be limited by thermal constraints on carbon balance, but it is unknown if carbon relations also limit seedling survival at lower elevations, where water relations may be more important. We measured and modeled carbon fluxes and water relations in first-year Pinus flexilis seedlings in garden plots just beyond the warm edge of their natural range, and compared these with dry-mass gain and survival across two summers. We hypothesized that mortality in these seedlings would be associated with declines in water relations, more so than with carbon-balance limitations. Rather than gradual declines in survivorship across growing seasons, we observed sharp, large-scale mortality episodes that occurred once volumetric soil-moisture content dropped below 10%. By this point, seedling water potentials had decreased below −5 MPa, seedling hydraulic conductivity had decreased by 90% and seedling hydraulic resistance had increased by >900%. Additionally, non-structural carbohydrates accumulated in aboveground tissues at the end of both summers, suggesting impairments in phloem-transport from needles to roots. This resulted in low carbohydrate concentrations in roots, which likely impaired root growth and water uptake at the time of critically low soil moisture. While photosynthesis and respiration on a leaf area basis remained high until critical hydraulic thresholds were exceeded, modeled seedling gross primary productivity declined steadily throughout the summers. At the time of mortality, modeled productivity was insufficient to support seedling biomass-gain rates, metabolism and secondary costs. Thus the large-scale mortality events that we observed near the end of each summer were most directly linked with acute, episodic declines in plant hydraulic function that were linked with important changes in whole-seedling carbon relations.
","language":"English","publisher":"Oxford Journals","doi":"10.1093/treephys/tpv045","usgsCitation":"Reinhardt, K., Germino, M.J., Kueppers, L.M., Domec, J., and Mitton, J., 2015, Linking carbon and water limitations to drought-induced mortality of Pinus flexilis seedlings: Tree Physiology, v. 35, no. 7, p. 771-782, https://doi.org/10.1093/treephys/tpv045.","productDescription":"12 p.","startPage":"771","endPage":"782","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059360","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":306628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-27","publicationStatus":"PW","scienceBaseUri":"55cdbfb7e4b08400b1fe1411","contributors":{"authors":[{"text":"Reinhardt, Keith","contributorId":11949,"corporation":false,"usgs":true,"family":"Reinhardt","given":"Keith","affiliations":[],"preferred":false,"id":563947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":3298,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","email":"mgermino@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":563946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kueppers, Lara M.","contributorId":89778,"corporation":false,"usgs":false,"family":"Kueppers","given":"Lara","email":"","middleInitial":"M.","affiliations":[{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false},{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":563949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Domec, Jean-Christophe","contributorId":146460,"corporation":false,"usgs":false,"family":"Domec","given":"Jean-Christophe","email":"","affiliations":[],"preferred":false,"id":567957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitton, Jeffry","contributorId":145421,"corporation":false,"usgs":false,"family":"Mitton","given":"Jeffry","affiliations":[{"id":12502,"text":"University of Colorado - Boulder","active":true,"usgs":false}],"preferred":false,"id":563948,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70154825,"text":"70154825 - 2015 - Getting ocean acidification on decision makers' to-do lists: dissecting the process through case studies","interactions":[],"lastModifiedDate":"2015-07-08T13:08:06","indexId":"70154825","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Getting ocean acidification on decision makers' to-do lists: dissecting the process through case studies","docAbstract":"Much of the detailed, incremental knowledge being generated by current scientific research on ocean acidification (OA) does not directly address the needs of decision makers, who are asking broad questions such as: Where will OA harm marine resources next? When will this happen? Who will be affected? And how much will it cost? In this review, we use a series of mainly US-based case studies to explore the needs of local to international-scale groups that are making decisions to address OA concerns. Decisions concerning OA have been made most naturally and easily when information needs were clearly defined and closely aligned with science outputs and initiatives. For decisions requiring more complex information, the process slows dramatically. Decision making about OA is greatly aided (1) when a mixture of specialists participates, including scientists, resource users and managers, and policy and law makers; (2) when goals can be clearly agreed upon at the beginning of the process; (3) when mixed groups of specialists plan and create translational documents explaining the likely outcomes of policy decisions on ecosystems and natural resources; (4) when regional work on OA fits into an existing set of priorities concerning climate or water quality; and (5) when decision making can be reviewed and enhanced.
","language":"English","doi":"10.5670/oceanog.2015.42","usgsCitation":"Cooley, S.R., Jewett, E.B., Reichert, J., Robbins, L.L., Shrestha, G., Wieczorek, D., and Weisberg, S., 2015, Getting ocean acidification on decision makers' to-do lists: dissecting the process through case studies: Oceanography, no. 2, p. 198-211, https://doi.org/10.5670/oceanog.2015.42.","productDescription":"14 p.","startPage":"198","endPage":"211","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060284","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2015.42","text":"Publisher Index Page"},{"id":305615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"2","edition":"28","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"559e49abe4b0b94a64018f65","contributors":{"authors":[{"text":"Cooley, Sarah R.","contributorId":145518,"corporation":false,"usgs":false,"family":"Cooley","given":"Sarah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jewett, Elizabeth B.","contributorId":145519,"corporation":false,"usgs":false,"family":"Jewett","given":"Elizabeth","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":564479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reichert, Julie","contributorId":145520,"corporation":false,"usgs":false,"family":"Reichert","given":"Julie","affiliations":[],"preferred":false,"id":564480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":564239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, Gyami","contributorId":145521,"corporation":false,"usgs":false,"family":"Shrestha","given":"Gyami","email":"","affiliations":[],"preferred":false,"id":564481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wieczorek, Dan","contributorId":42022,"corporation":false,"usgs":false,"family":"Wieczorek","given":"Dan","email":"","affiliations":[],"preferred":false,"id":564482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weisberg, Stephen B.","contributorId":11110,"corporation":false,"usgs":true,"family":"Weisberg","given":"Stephen B.","affiliations":[],"preferred":false,"id":564483,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70155009,"text":"70155009 - 2015 - Interpreting fluid pressure anomalies in shallow intraplate argillaceous formations","interactions":[],"lastModifiedDate":"2015-07-24T10:32:22","indexId":"70155009","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Interpreting fluid pressure anomalies in shallow intraplate argillaceous formations","docAbstract":"Investigations have revealed several instances of apparently isolated highs or lows in pore fluid potential in shallow (< ~ 1 km depth) argillaceous formations in intraplate settings. Formations with the pressure anomalies are distinguished by (1) smaller ratios of hydraulic conductivity to formation thickness and (2) smaller hydraulic (or pressure) diffusivities than those without anomalies. This is consistent with transient Darcian flow caused by strain at rates of ~ 10−17 to 10-16 s-1, by significant perturbing events in the past 104 to 106 annum or by some combination of the two. Plausible causes include erosional downwasting, tectonic strain, and glaciation. In this conceptualization the anomalies provide constraints on formation-scale flow properties, flow history, and local geological forcing in the last 106 annum and in particular indicate zones of low permeability (10−19–10−22 m2) that could be useful for isolation of nuclear waste.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL064140","usgsCitation":"Neuzil, C.E., 2015, Interpreting fluid pressure anomalies in shallow intraplate argillaceous formations: Geophysical Research Letters, v. 42, no. 12, p. 4801-4808, https://doi.org/10.1002/2015GL064140.","productDescription":"8 p.","startPage":"4801","endPage":"4808","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065835","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064140","text":"Publisher Index Page"},{"id":305946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-23","publicationStatus":"PW","scienceBaseUri":"55b361b2e4b09a3b01b5daa6","contributors":{"authors":[{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":564625,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159219,"text":"70159219 - 2015 - The changing strength and nature of fire-climate relationships in the northern Rocky Mountains, U.S.A., 1902-2008","interactions":[],"lastModifiedDate":"2018-04-24T13:45:44","indexId":"70159219","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","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":"The changing strength and nature of fire-climate relationships in the northern Rocky Mountains, U.S.A., 1902-2008","docAbstract":"Time-varying fire-climate relationships may represent an important component of fire-regime variability, relevant for understanding the controls of fire and projecting fire activity under global-change scenarios. We used time-varying statistical models to evaluate if and how fire-climate relationships varied from 1902-2008, in one of the most flammable forested regions of the western U.S.A. Fire-danger and water-balance metrics yielded the best combination of calibration accuracy and predictive skill in modeling annual area burned. The strength of fire-climate relationships varied markedly at multi-decadal scales, with models explaining < 40% to 88% of the variation in annual area burned. The early 20th century (1902-1942) and the most recent two decades (1985-2008) exhibited strong fire-climate relationships, with weaker relationships for much of the mid 20th century (1943-1984), coincident with diminished burning, less fire-conducive climate, and the initiation of modern fire fighting. Area burned and the strength of fire-climate relationships increased sharply in the mid 1980s, associated with increased temperatures and longer potential fire seasons. Unlike decades with high burning in the early 20th century, models developed using fire-climate relationships from recent decades overpredicted area burned when applied to earlier periods. This amplified response of fire to climate is a signature of altered fire-climate-relationships, and it implicates non-climatic factors in this recent shift. Changes in fuel structure and availability following 40+ yr of unusually low fire activity, and possibly land use, may have resulted in increased fire vulnerability beyond expectations from climatic factors alone. Our results highlight the potential for non-climatic factors to alter fire-climate relationships, and the need to account for such dynamics, through adaptable statistical or processes-based models, for accurately predicting future fire activity.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0127563","usgsCitation":"Littell, J.S., 2015, The changing strength and nature of fire-climate relationships in the northern Rocky Mountains, U.S.A., 1902-2008: PLoS ONE, v. 10, no. 6, e0127563: 21 p., https://doi.org/10.1371/journal.pone.0127563.","productDescription":"e0127563: 21 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063794","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":472062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0127563","text":"Publisher Index Page"},{"id":310399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.35693359375,\n 48.980216985374994\n ],\n [\n -113.02734374999999,\n 48.58932584966972\n ],\n [\n -112.67578124999999,\n 48.1367666796927\n ],\n [\n -111.6650390625,\n 47.27922900257082\n ],\n [\n -109.9072265625,\n 46.965259400349275\n ],\n [\n -109.9072265625,\n 46.07323062540838\n ],\n [\n -109.57763671875,\n 45.644768217751924\n ],\n [\n -110.76416015625,\n 45.73685954736049\n ],\n [\n -111.07177734375,\n 45.24395342262324\n ],\n [\n -111.1376953125,\n 44.465151013519616\n ],\n [\n -111.533203125,\n 44.18220395771566\n ],\n [\n -112.8955078125,\n 43.83452678223684\n ],\n [\n -113.818359375,\n 43.34116005412307\n ],\n [\n -115.83984375,\n 43.26120612479979\n ],\n [\n -116.38916015624999,\n 43.94537239244209\n ],\n [\n -116.78466796875,\n 44.213709909702054\n ],\n [\n -117.1142578125,\n 44.54350521320822\n ],\n [\n -116.69677734375,\n 45.02695045318546\n ],\n [\n -116.16943359374999,\n 45.78284835197676\n ],\n [\n -116.01562499999999,\n 46.14939437647686\n ],\n [\n -116.54296874999999,\n 46.78501604269254\n ],\n [\n -116.89453125,\n 47.517200697839414\n ],\n [\n -116.8505859375,\n 48.019324184801185\n ],\n [\n -116.630859375,\n 48.32703913063476\n ],\n [\n -116.91650390625,\n 48.79239019646406\n ],\n [\n -117.04833984375001,\n 48.99463598353408\n ],\n [\n -113.35693359375,\n 48.980216985374994\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-26","publicationStatus":"PW","scienceBaseUri":"562a08f5e4b011227bf1fdeb","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":577858,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159741,"text":"70159741 - 2015 - Climate change projections for lake whitefish (Coregonus clupeaformis) recruitment in the 1836 Treaty Waters of the Upper Great Lakes","interactions":[],"lastModifiedDate":"2018-04-24T13:48:14","indexId":"70159741","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Climate change projections for lake whitefish (Coregonus clupeaformis) recruitment in the 1836 Treaty Waters of the Upper Great Lakes","docAbstract":"Lake whitefish (Coregonus clupeaformis) is an ecologically, culturally, and economically important species in the Laurentian Great Lakes. Lake whitefish have been a staple food source for thousands of years and, since 1980, have supported the most economically valuable (annual catch value ≈ US$16.6 million) and productive (annual harvest ≈ 7 million kg) commercial fishery in the upper Great Lakes (Lakes Huron, Michigan, and Superior). Climate changes, specifically changes in temperature, wind, and ice cover, are expected to impact the ecology, production dynamics, and value of this fishery because the success of recruitment to the fishery has been linked with these climatic variables. We used linear regression to determine the relationship between fall and spring air temperature indices, fall wind speed, winter ice cover, and lake whitefish recruitment in 13 management units located in the 1836 Treaty Waters of the Upper Great Lakes ceded by the Ottawa and Chippewa nations, a culturally and commercially important region for the lake whitefish fishery. In eight of the 13 management units evaluated, models including one or more climate variables (temperature, wind, ice cover) explained significantly more variation in recruitment than models with only the stock–recruitment relationship, using corrected Akaike's Information Criterion comparisons (ΔAICc > 3). Isolating the climate–recruitment relationship and projecting recruitment with the Coupled Hydrosphere-Atmosphere Research Model (CHARM) indicated the potential for increased lake whitefish recruitment in the majority of the 1836 Treaty Waters management units. These results can inform adaptive management strategies by providing anticipated implications of climate on lake whitefish recruitment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2015.03.015","usgsCitation":"Lynch, A., Taylor, W., Beard, T., and Lofgren, B.M., 2015, Climate change projections for lake whitefish (Coregonus clupeaformis) recruitment in the 1836 Treaty Waters of the Upper Great Lakes: Journal of Great Lakes Research, v. 41, no. 2, p. 415-422, https://doi.org/10.1016/j.jglr.2015.03.015.","productDescription":"8 p.","startPage":"415","endPage":"422","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058029","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":311552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron, Lake Michigan, Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.8798828125,\n 41.68932225997044\n ],\n [\n -86.3525390625,\n 42.04929263868686\n ],\n [\n -86.1328125,\n 42.68243539838623\n ],\n [\n -86.33056640625,\n 43.45291889355465\n ],\n [\n -86.2646484375,\n 44.15068115978091\n ],\n [\n -86.02294921875,\n 44.731125592643274\n ],\n [\n -85.49560546875,\n 44.731125592643274\n ],\n [\n -85.10009765625,\n 45.13555516012536\n ],\n [\n -84.88037109375,\n 45.38301927899065\n ],\n [\n -84.26513671875,\n 45.42929873257377\n ],\n [\n -83.583984375,\n 45.24395342262324\n ],\n [\n -83.43017578125,\n 44.62175409623324\n ],\n [\n -83.7158203125,\n 44.2294565683017\n ],\n [\n -84.111328125,\n 43.78695837311561\n ],\n [\n -83.9794921875,\n 43.50075243569041\n ],\n [\n -83.21044921875,\n 43.691707903073805\n ],\n [\n -83.03466796874999,\n 43.91372326852401\n ],\n [\n -82.72705078125,\n 43.5326204268101\n ],\n [\n -82.6611328125,\n 43.004647127794435\n ],\n [\n -82.353515625,\n 42.81152174509788\n ],\n [\n -81.82617187499999,\n 43.08493742707592\n ],\n [\n -81.650390625,\n 43.644025847699496\n ],\n [\n -81.6064453125,\n 44.11914151643737\n ],\n [\n -81.2548828125,\n 44.574817404670306\n ],\n [\n -80.8154296875,\n 44.4808302785626\n ],\n [\n -79.98046875,\n 44.32384807250689\n ],\n [\n -79.6728515625,\n 44.5278427984555\n ],\n [\n -79.5849609375,\n 44.902577996288876\n ],\n [\n -80.068359375,\n 45.44471679159555\n ],\n [\n -80.947265625,\n 46.10370875598026\n ],\n [\n -82.177734375,\n 46.28622391806708\n ],\n [\n -83.64990234375,\n 46.45299704748289\n ],\n [\n -84.13330078125,\n 46.5739667965278\n ],\n [\n -84.35302734375,\n 47.12995075666307\n ],\n [\n -84.70458984375,\n 47.7097615426664\n ],\n [\n -85.078125,\n 48.25394114463431\n ],\n [\n -85.67138671875,\n 48.22467264956519\n ],\n [\n -86.06689453125,\n 48.58932584966972\n ],\n [\n -86.66015624999999,\n 48.951366470947725\n ],\n [\n -87.62695312499999,\n 49.023461463214126\n ],\n [\n -88.39599609375,\n 49.05227025601607\n ],\n [\n -89.1650390625,\n 48.80686346108517\n ],\n [\n -89.67041015625,\n 48.40003249610685\n ],\n [\n -89.84619140625,\n 48.16608541901253\n ],\n [\n -90.3076171875,\n 47.90161354142077\n ],\n [\n -91.23046875,\n 47.62097541515849\n ],\n [\n -92.373046875,\n 46.875213396722685\n ],\n [\n -92.2412109375,\n 46.66451741754235\n ],\n [\n -91.49414062499999,\n 46.55886030311719\n ],\n [\n -91.16455078125,\n 46.7549166192819\n ],\n [\n -91.0986328125,\n 46.543749602738565\n ],\n [\n -90.46142578125,\n 46.51351558059737\n ],\n [\n -89.69238281249999,\n 46.70973594407157\n ],\n [\n -88.9453125,\n 46.89023157359399\n ],\n [\n -88.35205078124999,\n 47.26432008025478\n ],\n [\n -88.61572265625,\n 46.830133640447386\n ],\n [\n -88.48388671874999,\n 46.6795944656402\n ],\n [\n -88.0224609375,\n 46.830133640447386\n ],\n [\n -87.5390625,\n 46.5739667965278\n ],\n [\n -87.14355468749999,\n 46.36209301204985\n ],\n [\n -86.396484375,\n 46.40756396630067\n ],\n [\n -86.17675781249999,\n 46.52863469527167\n ],\n [\n -85.4736328125,\n 46.58906908309182\n ],\n [\n -85.18798828125,\n 46.63435070293566\n ],\n [\n -84.72656249999999,\n 46.37725420510028\n ],\n [\n -84.814453125,\n 46.057985244793024\n ],\n [\n -85.517578125,\n 46.17983040759436\n ],\n [\n -86.4404296875,\n 46.07323062540838\n ],\n [\n -87.275390625,\n 45.90529985724796\n ],\n [\n -87.73681640625,\n 45.36758436884978\n ],\n [\n -88.26416015625,\n 44.653024159812\n ],\n [\n -88.30810546875,\n 44.37098696297173\n ],\n [\n -87.7587890625,\n 44.43377984606825\n ],\n [\n -87.47314453125,\n 44.77793589631623\n ],\n [\n -87.9345703125,\n 44.008620115415354\n ],\n [\n -88.13232421875,\n 43.16512263158296\n ],\n [\n -88.04443359375,\n 42.407234661551875\n ],\n [\n -87.78076171875,\n 41.918628865183045\n ],\n [\n -87.4951171875,\n 41.50857729743935\n ],\n [\n -86.8798828125,\n 41.68932225997044\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564f00c0e4b064dd1d095575","contributors":{"authors":[{"text":"Lynch, Abigail J. ajlynch@usgs.gov","contributorId":146923,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail J.","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":580301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":580302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beard, T. Douglas Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":3314,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":580300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lofgren, Brent M.","contributorId":139534,"corporation":false,"usgs":false,"family":"Lofgren","given":"Brent","email":"","middleInitial":"M.","affiliations":[{"id":12789,"text":"NOAA Great Lakes Environmental Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":580303,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70161978,"text":"70161978 - 2015 - High-rate injection is associated with the increase in U.S. mid-continent seismicity","interactions":[],"lastModifiedDate":"2017-02-13T14:20:45","indexId":"70161978","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"High-rate injection is associated with the increase in U.S. mid-continent seismicity","docAbstract":"An unprecedented increase in earthquakes in the U.S. mid-continent began in 2009. Many of these earthquakes have been documented as induced by wastewater injection. We examine the relationship between wastewater injection and U.S. mid-continent seismicity using a newly assembled injection well database for the central and eastern United States. We find that the entire increase in earthquake rate is associated with fluid injection wells. High-rate injection wells (>300,000 barrels per month) are much more likely to be associated with earthquakes than lower-rate wells. At the scale of our study, a well’s cumulative injected volume, monthly wellhead pressure, depth, and proximity to crystalline basement do not strongly correlate with earthquake association. Managing injection rates may be a useful tool to minimize the likelihood of induced earthquakes.
","language":"English","publisher":"AAAS","doi":"10.1126/science.aab1345","usgsCitation":"Weingarten, M., Ge, S., Godt, J.W., Bekins, B.A., and Rubinstein, J.L., 2015, High-rate injection is associated with the increase in U.S. mid-continent seismicity: Science, v. 348, no. 6241, p. 1336-340, https://doi.org/10.1126/science.aab1345.","productDescription":"5 p.","startPage":"1336","endPage":"340","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060459","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":472067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/science.aab1345","text":"Publisher Index Page"},{"id":314270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"348","issue":"6241","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5697833ce4b039675d00a6e5","contributors":{"authors":[{"text":"Weingarten, Matthew","contributorId":138656,"corporation":false,"usgs":false,"family":"Weingarten","given":"Matthew","email":"","affiliations":[{"id":12481,"text":"Department of Geological Sciences, University of Colorado, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":588242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ge, Shemin","contributorId":37366,"corporation":false,"usgs":true,"family":"Ge","given":"Shemin","affiliations":[],"preferred":false,"id":588243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":588239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785 jrubinstein@usgs.gov","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":2404,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"jrubinstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":588241,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159740,"text":"70159740 - 2015 - Forecasting wildlife response to rapid warming in the Alaskan Arctic","interactions":[],"lastModifiedDate":"2020-12-17T20:55:44.271773","indexId":"70159740","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting wildlife response to rapid warming in the Alaskan Arctic","docAbstract":"Arctic wildlife species face a dynamic and increasingly novel environment because of climate warming and the associated increase in human activity. Both marine and terrestrial environments are undergoing rapid environmental shifts, including loss of sea ice, permafrost degradation, and altered biogeochemical fluxes. Forecasting wildlife responses to climate change can facilitate proactive decisions that balance stewardship with resource development. In this article, we discuss the primary and secondary responses to physical climate-related drivers in the Arctic, associated wildlife responses, and additional sources of complexity in forecasting wildlife population outcomes. Although the effects of warming on wildlife populations are becoming increasingly well documented in the scientific literature, clear mechanistic links are often difficult to establish. An integrated science approach and robust modeling tools are necessary to make predictions and determine resiliency to change. We provide a conceptual framework and introduce examples relevant for developing wildlife forecasts useful to management decisions. © 2015 Published by Oxford University Press on behalf of the American Institute of Biological Sciences 2014. This work is written by US Government employees and is in the public domain in the US.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/biosci/biv069","issn":"00063568","usgsCitation":"Van Hemert, C.R., Flint, P.L., Udevitz, M.S., Koch, J.C., Atwood, T.C., Oakley, K.L., and Pearce, J.M., 2015, Forecasting wildlife response to rapid warming in the Alaskan Arctic: BioScience, v. 65, no. 7, p. 718-728, https://doi.org/10.1093/biosci/biv069.","productDescription":"11 p.","startPage":"718","endPage":"728","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055518","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biv069","text":"Publisher Index Page"},{"id":381466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -131.044921875,\n 52.3755991766591\n ],\n [\n -130.4296875,\n 55.229023057406344\n ],\n [\n -130.4296875,\n 56.26776108757582\n ],\n [\n -131.572265625,\n 56.9449741808516\n ],\n [\n -133.505859375,\n 58.6769376725869\n ],\n [\n -135.791015625,\n 59.933000423746336\n ],\n [\n -137.373046875,\n 59.17592824927136\n ],\n [\n -138.955078125,\n 60.23981116999893\n ],\n [\n -141.064453125,\n 60.413852350464914\n ],\n [\n -141.064453125,\n 69.65708627301174\n ],\n [\n -143.173828125,\n 70.19999407534661\n ],\n [\n -145.1953125,\n 69.99053495947653\n ],\n [\n -146.42578125,\n 70.25945200030641\n ],\n [\n -147.65625,\n 70.34831755984781\n ],\n [\n -149.58984375,\n 70.55417853776078\n ],\n [\n -151.875,\n 70.55417853776078\n ],\n [\n -152.314453125,\n 70.90226826757711\n ],\n [\n -153.984375,\n 71.04552881933586\n ],\n [\n -155.478515625,\n 71.27259471233448\n ],\n [\n -157.236328125,\n 71.41317683396566\n ],\n [\n -158.291015625,\n 70.95969716686398\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -160.6640625,\n 70.61261423801925\n ],\n [\n -162.421875,\n 70.19999407534661\n ],\n [\n -163.388671875,\n 69.7485511291223\n ],\n [\n -163.65234374999997,\n 69.28725695167886\n ],\n [\n -165.9375,\n 68.97416358340674\n ],\n [\n -166.640625,\n 68.8159271333607\n ],\n [\n -166.640625,\n 68.366801093914\n ],\n [\n -165.05859375,\n 67.8424164732793\n ],\n [\n -164.091796875,\n 67.2720426739952\n ],\n [\n -163.564453125,\n 66.96447630005638\n ],\n [\n -162.421875,\n 66.79190947341796\n ],\n [\n -161.71874999999997,\n 66.26685631430843\n ],\n [\n -163.65234374999997,\n 66.19600891267761\n ],\n [\n -163.65234374999997,\n 66.65297740055279\n ],\n [\n -164.970703125,\n 66.5482634621744\n ],\n [\n -167.080078125,\n 66.01801815922045\n ],\n [\n -168.3984375,\n 65.69447579373418\n ],\n [\n -166.728515625,\n 65.2198939361321\n ],\n [\n -167.080078125,\n 64.54844014422517\n ],\n [\n -166.201171875,\n 64.28275952823394\n ],\n [\n -164.1796875,\n 64.39693778132846\n ],\n [\n -162.861328125,\n 64.4348920430406\n ],\n [\n -161.54296875,\n 64.84893726357947\n ],\n [\n -160.83984375,\n 64.66151739623564\n ],\n [\n -161.3671875,\n 64.39693778132846\n ],\n [\n -161.015625,\n 63.78248603116502\n ],\n [\n -162.509765625,\n 63.54855223203644\n ],\n [\n -163.4765625,\n 63.194018438087845\n ],\n [\n -164.443359375,\n 63.39152174400882\n ],\n [\n -166.55273437499997,\n 61.64816245852389\n ],\n [\n -165.4541015625,\n 60.951776809566965\n ],\n [\n -165.16845703125,\n 60.70544838111038\n ],\n [\n -165.8056640625,\n 60.55457867655516\n ],\n [\n -166.9482421875,\n 60.44638185995603\n ],\n [\n -167.49755859375,\n 60.21799073323445\n ],\n [\n -167.32177734375,\n 59.85585085709834\n ],\n [\n -166.5087890625,\n 59.72317714492067\n ],\n [\n -165.76171875,\n 59.76746035005358\n ],\n [\n -165.34423828125,\n 59.977005492196\n ],\n [\n -164.81689453125,\n 60.11961885993203\n ],\n [\n -164.3994140625,\n 59.91097597079679\n ],\n [\n -163.63037109375,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.877911874831156\n ],\n [\n -162.31201171874997,\n 60.009970961180386\n ],\n [\n -161.89453125,\n 59.55659188568175\n ],\n [\n -162.20214843749997,\n 59.17592824927136\n ],\n [\n -162.20214843749997,\n 58.790978406215565\n ],\n [\n -161.982421875,\n 58.37867853932655\n ],\n [\n -161.015625,\n 58.53959476664049\n ],\n [\n -160.048828125,\n 58.53959476664049\n ],\n [\n -158.73046875,\n 58.35563036280967\n ],\n [\n -158.02734375,\n 58.58543569119917\n ],\n [\n -157.939453125,\n 57.89149735271031\n ],\n [\n -161.015625,\n 56.26776108757582\n ],\n [\n -167.080078125,\n 54.521081495443596\n ],\n [\n -172.6171875,\n 52.855864177853995\n ],\n [\n -178.59375,\n 52.05249047600099\n ],\n [\n -184.5703125,\n 52.802761415419674\n ],\n [\n -187.82226562499997,\n 53.54030739150022\n ],\n [\n -193.798828125,\n 55.825973254619015\n ],\n [\n -194.85351562499997,\n 54.826007999094955\n ],\n [\n -190.8984375,\n 53.4357192066942\n ],\n [\n -183.8671875,\n 51.6180165487737\n ],\n [\n -180.263671875,\n 51.12421275782688\n ],\n [\n -175.4296875,\n 51.45400691005982\n ],\n [\n -172.705078125,\n 51.83577752045248\n ],\n [\n -169.27734375,\n 52.482780222078205\n ],\n [\n -166.2890625,\n 53.33087298301704\n ],\n [\n -163.125,\n 54.11094294272432\n ],\n [\n -158.55468749999997,\n 54.92714186454645\n ],\n [\n -153.193359375,\n 56.607885465009254\n ],\n [\n -151.5234375,\n 57.938183012205315\n ],\n [\n -151.435546875,\n 58.63121664342478\n ],\n [\n -150.380859375,\n 59.22093407615045\n ],\n [\n -147.744140625,\n 59.445075099047166\n ],\n [\n -146.42578125,\n 60.02095215374802\n ],\n [\n -144.84375,\n 59.977005492196\n ],\n [\n -143.173828125,\n 59.62332522313024\n ],\n [\n -141.328125,\n 59.57885104663186\n ],\n [\n -139.130859375,\n 58.859223547066584\n ],\n [\n -136.0546875,\n 56.992882804633986\n ],\n [\n -134.560546875,\n 55.27911529201561\n ],\n [\n -133.9453125,\n 54.00776876193478\n ],\n [\n -132.890625,\n 52.429222277955134\n ],\n [\n -131.30859375,\n 51.781435604431195\n ],\n [\n -131.044921875,\n 52.3755991766591\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"65","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-19","publicationStatus":"PW","scienceBaseUri":"564f00c7e4b064dd1d095582","contributors":{"authors":[{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":580293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":580294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":580295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":580296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":580297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oakley, Karen L. koakley@usgs.gov","contributorId":747,"corporation":false,"usgs":true,"family":"Oakley","given":"Karen","email":"koakley@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":580298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":580299,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70159048,"text":"70159048 - 2015 - Hydrology: The interdisciplinary science of water","interactions":[],"lastModifiedDate":"2015-10-15T09:08:54","indexId":"70159048","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","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":"Hydrology: The interdisciplinary science of water","docAbstract":"We live in a world where biophysical and social processes are tightly coupled. Hydrologic systems change in response to a variety of natural and human forces such as climate variability and change, water use and water infrastructure, and land cover change. In turn, changes in hydrologic systems impact socioeconomic, ecological, and climate systems at a number of scales, leading to a coevolution of these interlinked systems. The Harvard Water Program, Hydrosociology, Integrated Water Resources Management, Ecohydrology, Hydromorphology, and Sociohydrology were all introduced to provide distinct, interdisciplinary perspectives on water problems to address the contemporary dynamics of human interaction with the hydrosphere and the evolution of the Earth’s hydrologic systems. Each of them addresses scientific, social, and engineering challenges related to how humans influence water systems and vice versa. There are now numerous examples in the literature of how holistic approaches can provide a structure and vision of the future of hydrology. We review selected examples, which taken together, describe the type of theoretical and applied integrated hydrologic analyses and associated curricular content required to address the societal issue of water resources sustainability. We describe a modern interdisciplinary science of hydrology needed to develop an in-depth understanding of the dynamics of the connectedness between human and natural systems and to determine effective solutions to resolve the complex water problems that the world faces today. Nearly, every theoretical hydrologic model introduced previously is in need of revision to accommodate how climate, land, vegetation, and socioeconomic factors interact, change, and evolve over time.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015WR017049","usgsCitation":"Vogel, R.M., Lall, U., Cai, X., Rajagopalan, B., Weiskel, P.K., Hooper, R.P., and Matalas, N.C., 2015, Hydrology: The interdisciplinary science of water: Water Resources Research, v. 51, no. 6, p. 4409-4430, https://doi.org/10.1002/2015WR017049.","productDescription":"22 p.","startPage":"4409","endPage":"4430","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065855","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":472065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr017049","text":"Publisher Index Page"},{"id":309897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-21","publicationStatus":"PW","scienceBaseUri":"5620ce77e4b06217fc478aee","contributors":{"authors":[{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":577535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lall, Upmanu","contributorId":101172,"corporation":false,"usgs":true,"family":"Lall","given":"Upmanu","affiliations":[],"preferred":false,"id":577536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cai, Ximing","contributorId":149230,"corporation":false,"usgs":false,"family":"Cai","given":"Ximing","email":"","affiliations":[{"id":17685,"text":"University of Illinois, Champagne-Urbana","active":true,"usgs":false}],"preferred":false,"id":577537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rajagopalan, Balaji","contributorId":145813,"corporation":false,"usgs":false,"family":"Rajagopalan","given":"Balaji","email":"","affiliations":[{"id":16240,"text":"U of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":577538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weiskel, Peter K. pweiskel@usgs.gov","contributorId":1099,"corporation":false,"usgs":true,"family":"Weiskel","given":"Peter","email":"pweiskel@usgs.gov","middleInitial":"K.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577534,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hooper, Richard P.","contributorId":19144,"corporation":false,"usgs":true,"family":"Hooper","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":577539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matalas, Nicholas C.","contributorId":34535,"corporation":false,"usgs":true,"family":"Matalas","given":"Nicholas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":577540,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70157444,"text":"70157444 - 2015 - Fluvial-aeolian interactions in sediment routing and sedimentary signal buffering: an example from the Indus Basin and Thar Desert","interactions":[],"lastModifiedDate":"2015-09-24T10:28:39","indexId":"70157444","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"Fluvial-aeolian interactions in sediment routing and sedimentary signal buffering: an example from the Indus Basin and Thar Desert","docAbstract":"Sediment production and its subsequent preservation in the marine stratigraphic record offshore of large rivers are linked by complex sediment-transfer systems. To interpret the stratigraphic record it is critical to understand how environmental signals transfer from sedimentary source regions to depositional sinks, and in particular to understand the role of buffering in obscuring climatic or tectonic signals. In dryland regions, signal buffering can include sediment cycling through linked fluvial and eolian systems. We investigate sediment-routing connectivity between the Indus River and the Thar Desert, where fluvial and eolian systems exchanged sediment over large spatial scales (hundreds of kilometers). Summer monsoon winds recycle sediment from the lower Indus River and delta northeastward, i.e., downwind and upstream, into the desert. Far-field eolian recycling of Indus sediment is important enough to control sediment provenance at the downwind end of the desert substantially, although the proportion of Indus sediment of various ages varies regionally within the desert; dune sands in the northwestern Thar Desert resemble the Late Holocene–Recent Indus delta, requiring short transport and reworking times. On smaller spatial scales (1–10 m) along fluvial channels in the northern Thar Desert, there is also stratigraphic evidence of fluvial and eolian sediment reworking from local rivers. In terms of sediment volume, we estimate that the Thar Desert could be a more substantial sedimentary store than all other known buffer regions in the Indus basin combined. Thus, since the mid-Holocene, when the desert expanded as the summer monsoon rainfall decreased, fluvial-eolian recycling has been an important but little recognized process buffering sediment flux to the ocean. Similar fluvial-eolian connectivity likely also affects sediment routing and signal transfer in other dryland regions globally.
","language":"English","publisher":"SEPM","doi":"10.2110/jsr.2015.42","usgsCitation":"East, A., Clift, P., Carter, A., Alizai, A., and VanLaningham, S., 2015, Fluvial-aeolian interactions in sediment routing and sedimentary signal buffering: an example from the Indus Basin and Thar Desert: Journal of Sedimentary Research, v. 85, no. 6, p. 715-728, https://doi.org/10.2110/jsr.2015.42.","productDescription":"14 p.","startPage":"715","endPage":"728","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063797","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":308487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","otherGeospatial":"Indus Basin, Thar Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 74.88727569580077,\n 29.52447547055938\n ],\n [\n 74.88727569580077,\n 29.577637329387468\n ],\n [\n 75.02838134765625,\n 29.577637329387468\n ],\n [\n 75.02838134765625,\n 29.52447547055938\n ],\n [\n 74.88727569580077,\n 29.52447547055938\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-29","publicationStatus":"PW","scienceBaseUri":"56051ebfe4b058f706e512c0","contributors":{"authors":[{"text":"East, Amy E. aeast@usgs.gov","contributorId":140988,"corporation":false,"usgs":true,"family":"East","given":"Amy E.","email":"aeast@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":573197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clift, Peter D.","contributorId":103203,"corporation":false,"usgs":true,"family":"Clift","given":"Peter D.","affiliations":[],"preferred":false,"id":573198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Andrew","contributorId":52821,"corporation":false,"usgs":true,"family":"Carter","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":573199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alizai, Anwar","contributorId":147911,"corporation":false,"usgs":false,"family":"Alizai","given":"Anwar","email":"","affiliations":[{"id":16954,"text":"Geological Survey of Pakistan","active":true,"usgs":false}],"preferred":false,"id":573200,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"VanLaningham, Sam","contributorId":147912,"corporation":false,"usgs":false,"family":"VanLaningham","given":"Sam","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":573201,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159334,"text":"70159334 - 2015 - A new species of Cryptotis (Mammalia, Eulipotyphla, Soricidae) from the Sierra de Perijá, Venezuelan-Colombian Andes","interactions":[],"lastModifiedDate":"2015-10-22T09:21:24","indexId":"70159334","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"A new species of Cryptotis (Mammalia, Eulipotyphla, Soricidae) from the Sierra de Perijá, Venezuelan-Colombian Andes","docAbstract":"The Sierra de Perijá is the northern extension of the Cordillera Oriental of the Andes and includes part of the border between Colombia and Venezuela. The population of small-eared shrews (Mammalia, Eulipotyphla, Soricidae, Cryptotis) inhabiting the Sierra de Perijá previously was known from only a single skull from an individual collected in Colombia in 1989. This specimen had been referred to alternatively as C. thomasi and C. meridensis, but more precise definition of the known Colombian and Venezuelan species of Cryptotis has since excluded the Sierra de Perijá population from any named species. The recent collection of a specimen from the Venezuelan slope of Sierra de Perijá, prompted us to re-evaluate the taxonomic status of this population and determine its relationship with other Andean shrews. Our examination of the available specimens revealed that they possess a unique suite of morphological and morphometrical characters, and we describe the Sierra de Perijá population as a new species in the South American C. thomasi species group. Recognition of this new species adds to our knowledge of this genus in South America and to the biodiversity of the Sierra de Perijá.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyv085","usgsCitation":"Quiroga-Carmona, M., and Woodman, N., 2015, A new species of Cryptotis (Mammalia, Eulipotyphla, Soricidae) from the Sierra de Perijá, Venezuelan-Colombian Andes: Journal of Mammalogy, v. 96, no. 4, p. 800-809, https://doi.org/10.1093/jmammal/gyv085.","productDescription":"10 p.","startPage":"800","endPage":"809","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062343","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyv085","text":"Publisher Index Page"},{"id":310332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Columbia, Venezuela","otherGeospatial":"Sierra de Perija","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.29254150390625,\n 9.700935243407013\n ],\n [\n -73.29254150390625,\n 10.38246684741556\n ],\n [\n -72.59490966796875,\n 10.38246684741556\n ],\n [\n -72.59490966796875,\n 9.700935243407013\n ],\n [\n -73.29254150390625,\n 9.700935243407013\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"96","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-03","publicationStatus":"PW","scienceBaseUri":"562a08aae4b011227bf1fd28","contributors":{"authors":[{"text":"Quiroga-Carmona, Marcial","contributorId":149354,"corporation":false,"usgs":false,"family":"Quiroga-Carmona","given":"Marcial","email":"","affiliations":[{"id":17716,"text":"Laboratorio de Paleontología, Centro de Ecología, Instituto Venezolano de Investigaciones Científicas. Apartado postal 21827, Caracas 1020-A, Venezuela","active":true,"usgs":false}],"preferred":false,"id":578047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":578046,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189355,"text":"70189355 - 2015 - Preserving geomorphic data records of flood disturbances","interactions":[],"lastModifiedDate":"2017-07-11T15:50:08","indexId":"70189355","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5458,"text":"GeoResJ","active":true,"publicationSubtype":{"id":10}},"title":"Preserving geomorphic data records of flood disturbances","docAbstract":"No central database or repository is currently available in the USA to preserve long-term, spatially extensive records of fluvial geomorphic data or to provide future accessibility. Yet, because of their length and continuity these data are valuable for future research. Therefore, we built a public accessible website to preserve data records of two examples of long-term monitoring (40 and 18 years) of the fluvial geomorphic response to natural disturbances. One disturbance was ∼50-year flood on Powder River in Montana in 1978, and the second disturbance was a catastrophic flood on Spring Creek following a ∼100-year rainstorm after a wildfire in Colorado in 1996.
Two critical issues arise relative to preserving fluvial geomorphic data. The first is preserving the data themselves, but the second, and just as important, is preserving information about the location of the field research sites where the data were collected so the sites can be re-located and re-surveyed in the future. The latter allows long-term datasets to be extended into the future and to provide critical background data for interpreting future landscape changes. Data were preserved on a website to allow world-wide accessibility and to upload new data to the website as they become available. We describe the architecture of the website, lessons learned in developing the website, future improvements, and recommendations on how also to preserve information about the location of field research sites.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.grj.2015.02.016","usgsCitation":"Moody, J.A., Martin, D.A., and Meade, R., 2015, Preserving geomorphic data records of flood disturbances: GeoResJ, v. 6, p. 164-174, https://doi.org/10.1016/j.grj.2015.02.016.","productDescription":"11 p.","startPage":"164","endPage":"174","ipdsId":"IP-063822","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.grj.2015.02.016","text":"Publisher Index Page"},{"id":343603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b492e4b0d1f9f05b3828","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":704342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Deborah A. 0000-0001-8237-0838 damartin@usgs.gov","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":168662,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah","email":"damartin@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":704343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meade, Robert H. 0000-0002-4965-3040","orcid":"https://orcid.org/0000-0002-4965-3040","contributorId":194493,"corporation":false,"usgs":false,"family":"Meade","given":"Robert H.","affiliations":[],"preferred":false,"id":704344,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187299,"text":"70187299 - 2015 - Incidental captures of Eastern Spotted Skunk in a high-elevation Red Spruce forest in Virginia","interactions":[],"lastModifiedDate":"2017-04-27T15:14:13","indexId":"70187299","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Incidental captures of Eastern Spotted Skunk in a high-elevation Red Spruce forest in Virginia","docAbstract":"Spilogale putorius (Eastern Spotted Skunk) is considered rare in the southern Appalachian Mountains and throughout much of its range. We report incidental captures of 6 Eastern Spotted Skunks in a high-elevation Picea rubens (Red Spruce) forest in southwestern Virginia during late February and March 2014. At 1520 m, these observations are the highest-elevation records for Eastern Spotted Skunk in the Appalachian Mountains. They are also the first known records of this species using Red Spruce forests in the southern Appalachians.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.022.0211","usgsCitation":"Diggins, C.A., Jachowski, D.S., Martin, J., and Ford, W.M., 2015, Incidental captures of Eastern Spotted Skunk in a high-elevation Red Spruce forest in Virginia: Northeastern Naturalist, v. 22, no. 2, p. N6-N10, https://doi.org/10.1656/045.022.0211.","productDescription":"5 p.","startPage":"N6","endPage":"N10","ipdsId":"IP-058547","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59030327e4b0e862d230f73f","contributors":{"authors":[{"text":"Diggins, Corinne A.","contributorId":171667,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","email":"","middleInitial":"A.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":693252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jachowski, David S.","contributorId":82966,"corporation":false,"usgs":true,"family":"Jachowski","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Jay","contributorId":169561,"corporation":false,"usgs":false,"family":"Martin","given":"Jay","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":693254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693231,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189347,"text":"70189347 - 2015 - Variability and trends in global drought","interactions":[],"lastModifiedDate":"2017-07-11T16:13:35","indexId":"70189347","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"Variability and trends in global drought","docAbstract":"Monthly precipitation (P) and potential evapotranspiration (PET) from the CRUTS3.1 data set are used to compute monthly P minus PET (PMPE) for the land areas of the globe. The percent of the global land area with annual sums of PMPE less than zero are used as an index of global drought (%drought) for 1901 through 2009. Results indicate that for the past century %drought has not changed, even though global PET and temperature (T) have increased. Although annual global PET and T have increased, annual global P also has increased and has mitigated the effects of increased PET on %drought.
","language":"English","publisher":"AGU","doi":"10.1002/2015EA000100","usgsCitation":"McCabe, G., and Wolock, D.M., 2015, Variability and trends in global drought: Earth and Space Science, v. 2, no. 6, p. 223-228, https://doi.org/10.1002/2015EA000100.","productDescription":"6 p.","startPage":"223","endPage":"228","ipdsId":"IP-065117","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015ea000100","text":"Publisher Index Page"},{"id":343610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-27","publicationStatus":"PW","scienceBaseUri":"5965b492e4b0d1f9f05b382a","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":1453,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":704312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":704313,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187302,"text":"70187302 - 2015 - Reach-scale stream restoration in agricultural streams of southern Minnesota alters structural and functional responses of macroinvertebrates","interactions":[],"lastModifiedDate":"2017-04-27T14:57:39","indexId":"70187302","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Reach-scale stream restoration in agricultural streams of southern Minnesota alters structural and functional responses of macroinvertebrates","docAbstract":"Recent studies suggest that stream restoration at the reach scale may not increase stream biodiversity, raising concerns about the utility of this conservation practice. We examined whether reach-scale restoration in disturbed agricultural streams was associated with changes in macroinvertebrate community structure (total macroinvertebrate taxon richness, total macroinvertebrate density, Ephemeroptera, Plecoptera, Trichoptera [EPT] taxon richness, % abundance of EPT taxa) or secondary production (macroinvertebrate biomass over time). We collected macroinvertebrate samples over the course of 1 y from restored and unrestored reaches of 3 streams in southern Minnesota and used generalized least-square (GLS) models to assess whether measures of community structure were related to reach type, stream site, or sampling month. After accounting for effects of stream site and time, we found no significant difference in total taxon richness or % abundance of EPT taxa between restored and unrestored reaches. However, the number of EPT taxa and macroinvertebrate density were significantly higher in restored than in unrestored reaches. We compared secondary production estimates among study reaches based on 95th-percentile confidence intervals generated via bootstrapping. In each study stream, secondary production was significantly (2–3×) higher in the restored than in the unrestored reach. Higher productivity in the restored reaches was largely a result of the disproportionate success of a few dominant, tolerant taxa. Our findings suggest that reach-scale restoration may have ecological effects that are not detected by measures of total taxon richness alone.
","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/680984","usgsCitation":"Dolph, C.L., Eggert, S.L., Magner, J., Ferrington, L.C., and Vondracek, B.C., 2015, Reach-scale stream restoration in agricultural streams of southern Minnesota alters structural and functional responses of macroinvertebrates: Freshwater Science, v. 34, no. 2, p. 535-546, https://doi.org/10.1086/680984.","productDescription":"12 p.","startPage":"535","endPage":"546","ipdsId":"IP-040121","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59030327e4b0e862d230f73d","contributors":{"authors":[{"text":"Dolph, Christine L.","contributorId":171693,"corporation":false,"usgs":false,"family":"Dolph","given":"Christine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eggert, Susan L.","contributorId":191489,"corporation":false,"usgs":false,"family":"Eggert","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magner, Joe","contributorId":191490,"corporation":false,"usgs":false,"family":"Magner","given":"Joe","email":"","affiliations":[],"preferred":false,"id":693244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferrington, Leonard C. Jr.","contributorId":172049,"corporation":false,"usgs":false,"family":"Ferrington","given":"Leonard","suffix":"Jr.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":693245,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vondracek, Bruce C. bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":693234,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187293,"text":"70187293 - 2015 - Accounting for multiple climate components when estimating climate change exposure and velocity","interactions":[],"lastModifiedDate":"2017-04-27T16:11:37","indexId":"70187293","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for multiple climate components when estimating climate change exposure and velocity","docAbstract":"Many epithermal gold-silver deposits are temporally and spatially associated with late Oligocene to Pliocene magmatism of the southern ancestral Cascade arc in western Nevada and eastern California. These deposits, which include both quartz-adularia (low- and intermediate-sulfidation; Comstock Lode, Tonopah, Bodie) and quartz-alunite (high-sulfidation; Goldfield, Paradise Peak) types, were major producers of gold and silver. Ancestral Cascade arc magmatism preceded that of the modern High Cascades arc and reflects subduction of the Farallon plate beneath North America. Ancestral arc magmatism began about 45 Ma, continued until about 3 Ma, and extended from near the Canada-United States border in Washington southward to about 250 km southeast of Reno, Nevada. The ancestral arc was split into northern and southern segments across an inferred tear in the subducting slab between Mount Shasta and Lassen Peak in northern California. The southern segment extends between 42°N in northern California and 37°N in western Nevada and was active from about 30 to 3 Ma. It is bounded on the east by the northeast edge of the Walker Lane. Ancestral arc volcanism represents an abrupt change in composition and style of magmatism relative to that in central Nevada. Large volume, caldera-forming, silicic ignimbrites associated with the 37 to 19 Ma ignimbrite flareup are dominant in central Nevada, whereas volcanic centers of the ancestral arc in western Nevada consist of andesitic stratovolcanoes and dacitic to rhyolitic lava domes that mostly formed between 25 and 4 Ma. Both ancestral arc and ignimbrite flareup magmatism resulted from rollback of the shallowly dipping slab that began about 45 Ma in northeast Nevada and migrated south-southwest with time. Most southern segment ancestral arc rocks have oxidized, high potassium, calc-alkaline compositions with silica contents ranging continuously from about 55 to 77 wt%. Most lavas are porphyritic and contain coarse plagioclase ± hornblende, biotite, and pyroxene phenocrysts. Seven epithermal gold-silver deposits with >1 Moz gold production, several large elemental sulfur deposits, and many large areas (10s to >100 km2) of hydrothermally altered rocks are present in the southern ancestral arc, especially south of latitude 40°N. These deposits are principally hosted by intermediate to silicic lava dome complexes; only a few deposits are associated with mafic- to intermediate-composition stratovolcanoes. Large deposits are most abundant and well developed in volcanic fields whose evolution spanned millions of years. Most deposits are hundreds of thousands to several million years younger than their host rocks, although some quartz-alunite deposits are essentially coeval with their host rocks. Variable composition and thickness of crustal basement is the primary control on mineralization along the length of the southern ancestral arc; most deposits and large alteration zones are localized in basement rock terranes with a strong continental affinity, either along the edge of the North American craton (Goldfield, Tonopah) or in an accreted terrane with continental affinities (Walker Lake terrane; Aurora, Bodie, Comstock Lode, Paradise Peak). Epithermal deposits and quartz-alunite alteration zones are scarce to absent in the northern part of the ancestral arc above an accreted island arc (Black Rock terrane) or unknown basement rocks (Modoc Plateau). Walker Lane structures and areas that underwent large magnitude extension during the Late Cenozoic (areas with Oligocene-early Miocene volcanic rocks dipping >40°) do not provide regional control on mineralization. Instead, these features may have served as local-scale conduits for mineralizing fluids.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"2015 Symposium on New Concepts and Discoveries","conferenceTitle":"2015 Symposium on New Concepts and Discoveries","conferenceLocation":"Reno/Sparks, Nevada","language":"English","publisher":"Geological Society of Nevada","collaboration":"Nevada Bureau of Mines and Geology","usgsCitation":"John, D.A., du Bray, E.A., Henry, C.D., and Vikre, P.G., 2015, Magmatism and Epithermal Gold-Silver Deposits of the Southern Ancestral Cascade Arc, Western Nevada and Eastern California, in 2015 Symposium on New Concepts and Discoveries, Reno/Sparks, Nevada, 35 p.","productDescription":"35 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063761","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":310610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Eastern California and Western Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.4541015625,\n 41.918628865183045\n ],\n [\n -119.44335937499999,\n 41.42625319507272\n ],\n [\n -119.64111328125,\n 40.43022363450859\n ],\n [\n -118.5205078125,\n 39.13006024213511\n ],\n [\n -118.0810546875,\n 38.37611542403604\n ],\n [\n -116.76269531249999,\n 37.56199695314352\n ],\n [\n -116.08154296875001,\n 37.00255267215955\n ],\n [\n -117.6416015625,\n 36.65079252503471\n ],\n [\n -118.32275390624999,\n 36.77409249464195\n ],\n [\n -119.37744140625,\n 37.579412513438385\n ],\n [\n -120.21240234375001,\n 38.46219172306828\n ],\n [\n -120.60791015625,\n 40.094882122321174\n ],\n [\n -120.62988281249999,\n 41.02964338716638\n ],\n [\n -120.69580078125001,\n 41.85319643776675\n ],\n [\n -120.4541015625,\n 41.918628865183045\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562b5a31e4b00162522207d8","contributors":{"authors":[{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":542379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"du Bray, Edward A. 0000-0002-4383-8394 edubray@usgs.gov","orcid":"https://orcid.org/0000-0002-4383-8394","contributorId":755,"corporation":false,"usgs":true,"family":"du Bray","given":"Edward","email":"edubray@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":542380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Christopher D. (compiler)","contributorId":99600,"corporation":false,"usgs":true,"family":"Henry","given":"Christopher","suffix":"(compiler)","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":542381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vikre, Peter G. 0000-0001-7895-5972 pvikre@usgs.gov","orcid":"https://orcid.org/0000-0001-7895-5972","contributorId":139033,"corporation":false,"usgs":true,"family":"Vikre","given":"Peter","email":"pvikre@usgs.gov","middleInitial":"G.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":542382,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70136073,"text":"70136073 - 2015 - A multi-proxy record of hydroclimate, vegetation, fire, and post-settlement impacts for a subalpine plateau, Central Rocky Mountains U.S.A","interactions":[],"lastModifiedDate":"2016-07-08T11:48:00","indexId":"70136073","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"A multi-proxy record of hydroclimate, vegetation, fire, and post-settlement impacts for a subalpine plateau, Central Rocky Mountains U.S.A","docAbstract":"Apparent changes in vegetation distribution, fire, and other disturbance regimes throughout western North America have prompted investigations of the relative importance of human activities and climate change as potential causal mechanisms. Assessing the effects of Euro-American settlement is difficult because climate changes occur on multi-decadal to centennial time scales and require longer time perspectives than historic observations can provide. Here, we report vegetation and environmental changes over the past ~13,000 years as recorded in a sediment record from Bison Lake, a subalpine lake on a high plateau in northwestern Colorado. Results are based on multiple independent proxies, which include pollen, charcoal, and elemental geochemistry, and are compared with previously reported interpretations of hydroclimatic changes from oxygen isotope ratios. The pollen data indicate a slowly changing vegetation sequence from sagebrush steppe during the late glacial to coniferous forest through the late Holocene. The most dramatic vegetation changes of the Holocene occurred during the ‘Medieval Climate Anomaly’ (MCA) and ‘Little Ice Age’ (LIA) with rapid replacement of conifer forest by grassland followed by an equally rapid return to conifer forest. Late Holocene vegetation responses are mirrored by changes in fire, lake biological productivity, and watershed erosion. These combined records indicate that subsequent disturbance related to Euro-American settlement, although perhaps significant, had acted upon a landscape that was already responding to MCA-LIA hydroclimatic change. Results document both rapid and long-term subalpine grassland ecosystem dynamics driven by agents of change that can be anticipated in the future and simulated by ecosystem models.
","language":"English","publisher":"Sage Journals","doi":"10.1177/0959683615574583","usgsCitation":"Anderson, L., Brunelle, A., and Thompson, R.S., 2015, A multi-proxy record of hydroclimate, vegetation, fire, and post-settlement impacts for a subalpine plateau, Central Rocky Mountains U.S.A: The Holocene, v. 25, no. 6, p. 932-943, https://doi.org/10.1177/0959683615574583.","productDescription":"12 p.","startPage":"932","endPage":"943","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058200","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":324911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Rocky Mountains","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2015-03-16","publicationStatus":"PW","scienceBaseUri":"5780ceaee4b0811616822299","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":537111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brunelle, Andrea","contributorId":131053,"corporation":false,"usgs":false,"family":"Brunelle","given":"Andrea","email":"","affiliations":[{"id":7215,"text":"University of Utah Dept. of Geography","active":true,"usgs":false}],"preferred":false,"id":537112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":537113,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193056,"text":"70193056 - 2015 - Spatial and temporal use of a prairie dog colony by coyotes and rabbits: Potential indirect effects on endangered black-footed ferrets","interactions":[],"lastModifiedDate":"2022-10-31T17:00:37.96629","indexId":"70193056","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2515,"text":"Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal use of a prairie dog colony by coyotes and rabbits: Potential indirect effects on endangered black-footed ferrets","docAbstract":"In western North America, endangered black-footed ferrets Mustela nigripes are conserved via reintroduction to colonies of prairie dogs Cynomys spp., their primary prey. Predation is an important source of mortality; coyotes Canis latrans appear to be the most problematic predator, accounting for 67% of known predation events on radio-tagged ferrets. Little is known about what factors affect spatial use of prairie dog colonies by coyotes, or how other animals might affect interactions between coyotes and ferrets. During June–October 2007–2008, we used spotlight surveys to monitor coyotes and ferrets (both years) and rabbits Sylvilagus spp. (first year) on a 452-ha colony of black-tailed prairie dogs Cynomys ludovicianus in the Conata Basin, South Dakota. Coyotes appeared to select areas of the colony used by rabbits, suggesting coyotes hunted rabbits, a common item in their diet. Between midnight and sunrise, ferrets were most commonly observed during early morning (01:00–03:00 h), whereas coyotes were observed mostly during dawn (04:00 h – sunrise) when ferrets were rarely seen. These temporal differences in the timing of observations suggest ferrets tend to remain underground in burrows when coyotes are most active. Coyotes appeared to be attracted to rabbits in both space and time, suggesting the risk of predation for ferrets might relate to the abundance and locations of rabbits in prairie dog colonies.
","language":"English","publisher":"Zoological Society of London","doi":"10.1111/jzo.12228","usgsCitation":"Eads, D., Biggins, D.E., and Livieri, T.M., 2015, Spatial and temporal use of a prairie dog colony by coyotes and rabbits: Potential indirect effects on endangered black-footed ferrets: Journal of Zoology, v. 296, no. 2, p. 146-152, https://doi.org/10.1111/jzo.12228.","productDescription":"7 p.","startPage":"146","endPage":"152","ipdsId":"IP-065671","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":347703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Conata Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -102.20486846045789,\n 43.69583510071038\n ],\n [\n -102.33775915230753,\n 43.797628895774494\n ],\n [\n -102.41871555079076,\n 43.813062147130296\n ],\n [\n -102.43399034295724,\n 43.79404560646648\n ],\n [\n -102.29308038522007,\n 43.696111198574556\n ],\n [\n -102.26214893108263,\n 43.690312876470955\n ],\n [\n -102.20486846045789,\n 43.69583510071038\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"296","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-11","publicationStatus":"PW","scienceBaseUri":"59f83a3ee4b063d5d3098119","contributors":{"authors":[{"text":"Eads, David A.","contributorId":198976,"corporation":false,"usgs":false,"family":"Eads","given":"David A.","affiliations":[],"preferred":false,"id":717769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":717768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Livieri, Travis M.","contributorId":198977,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717770,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192678,"text":"70192678 - 2015 - Bird species turnover is related to changing predation risk along a vegetation gradient","interactions":[],"lastModifiedDate":"2017-11-08T14:57:49","indexId":"70192678","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Bird species turnover is related to changing predation risk along a vegetation gradient","docAbstract":"Turnover in animal species along vegetation gradients is often assumed to reflect adaptive habitat preferences that are narrower than the full gradient. Specifically, animals may decline in abundance where their reproductive success is low, and these poor-quality locations differ among species. Yet habitat use does not always appear adaptive. The crucial tests of how abundances and demographic costs of animals vary along experimentally manipulated vegetation gradients are lacking. We examined habitat use and nest predation rates for 16 bird species that exhibited turnover with shifts in deciduous and coniferous vegetation. For most bird species, decreasing abundance was associated with increasing predation rates along both natural and experimentally modified vegetation gradients. This landscape-scale approach strongly supports the idea that vegetation-mediated effects of predation are associated with animal distributions and species turnover.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-1333.1","usgsCitation":"LaManna, J.A., Hemenway, A.B., Boccadori, V., and Martin, T.E., 2015, Bird species turnover is related to changing predation risk along a vegetation gradient: Ecology, v. 96, no. 6, p. 1670-1680, https://doi.org/10.1890/14-1333.1.","productDescription":"11 p.","startPage":"1670","endPage":"1680","ipdsId":"IP-043972","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","volume":"96","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425c3e4b0dc0b45b45407","contributors":{"authors":[{"text":"LaManna, Joseph A.","contributorId":171738,"corporation":false,"usgs":false,"family":"LaManna","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hemenway, Amy B.","contributorId":200185,"corporation":false,"usgs":false,"family":"Hemenway","given":"Amy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":721327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boccadori, Vanna","contributorId":200186,"corporation":false,"usgs":false,"family":"Boccadori","given":"Vanna","email":"","affiliations":[],"preferred":false,"id":721328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716702,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191256,"text":"70191256 - 2015 - Applied Geochemistry Special Issue on Environmental geochemistry of modern mining","interactions":[],"lastModifiedDate":"2020-03-10T14:38:56","indexId":"70191256","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Applied Geochemistry Special Issue on Environmental geochemistry of modern mining","docAbstract":"Environmental geochemistry is an integral part of the mine-life cycle, particularly for modern mining. The critical importance of environmental geochemistry begins with pre-mining baseline characterization and the assessment of environmental risks related to mining, continues through active mining especially in water and waste management practices, and culminates in mine closure. The enhanced significance of environmental geochemistry to modern mining has arisen from an increased knowledge of the impacts that historical and active mining can have on the environment, and from new regulations meant to guard against these impacts. New regulations are commonly motivated by advances in the scientific understanding of the environmental impacts of past mining. The impacts can be physical, chemical, and biological in nature. The physical challenges typically fall within the purview of engineers, whereas the chemical and biological challenges typically require a multidisciplinary array of expertise including geologists, geochemists, hydrologists, microbiologists, and biologists. The modern mine-permitting process throughout most of the world now requires that potential risks be assessed prior to the start of mining. The strategies for this risk assessment include a thorough characterization of pre-mining baseline conditions and the identification of risks specifically related to the manner in which the ore will be mined and processed, how water and waste products will be managed, and what the final configuration of the post-mining landscape will be.
In the Fall 2010, the Society of Economic Geologists held a short course in conjunction with the annual meeting of the Geological Society of America in Denver, Colorado (USA) to examine the environmental geochemistry of modern mining. The intent was to focus on issues that are pertinent to current and future mines, as opposed to abandoned mines, which have been the focus of numerous previous short courses. The geochemical challenges of current and future mines share similarities with abandoned mines, but differences also exist. Mining and ore processing techniques have changed; the environmental footprint of waste materials has changed; environmental protection has become a more integral part of the mine planning process; and most historical mining was done with limited regard for the environment. The 17 papers in this special issue evolved from the Society of Economic Geologists’ short course.
The relevant geochemical processes encompass the source, transport, and fate of contaminants related to the life cycle of a mine. Contaminants include metals and other inorganic species derived from geologic sources such as ore and solid mine waste, and substances brought to the site for ore processing, such as cyanide to leach gold. Factors, such as mine-waste mineralogy, hydrologic setting, mine-drainage chemistry, and microbial activity, that affect the hydrochemical risks from mining are reviewed by Nordstrom et al. In another paper, Nordstrom discusses baseline characterization at mine sites in a regulatory framework, and emphasizes the influence of mineral deposits in producing naturally elevated concentrations of many trace elements in surface water and groundwater. Surface water quality in mineralized watersheds is influenced by a number of processes that act on daily (diel) cycles and can produce dramatic variations in trace element concentrations as described by Gammons et al. Pre-mining baseline characterization studies should strive to capture the magnitude of these diel variations. Desbarats et al., using a case study of mine drainage from a gold mine, illustrate how elements that commonly occur as negatively charged species (anions) in solution, such as arsenic as arsenate, behave in an opposite fashion than most metals, which occur as positively charged species (cations). Significant improvement in the understanding of factors that influence the toxicity of metals to aquatic organisms in surface water has highlighted the importance of aqueous chemistry, particularly dissolved organic carbon, as described by Smith et al. Stream sediment contamination is another important pathway for affecting aquatic organisms, as reviewed by Besser et al. Understanding and predicting environmental consequences from mining begins with knowing the mineralogy and mineral reactivity of the ore, the wastes, and of secondary minerals formed later. Jamieson et al. review the importance of mineralogical studies in mine planning and remediation. A number of types of site-specific studies are needed to identify environmental risks related to individual mines. Lapakko reviews the general framework of mine waste characterization studies that are integral to the mine planning process. Hageman et al. present a comparative study of several static tests commonly used to characterize mine waste.
The mining and ore processing practices employed at a specific mine site will vary on the basis of the commodities being targeted, the geology of the deposit, the geometry of the deposit, and the mining and ore processing methods used. Thus, these factors, in addition to the waste management practices used, can result in a variety of end-member mine waste features, each of which has its own set of challenges. Open pit mines and underground mines require waste rock to be removed to access ore. Waste rock presents unique problems because the rock is commonly mineralized at sub-economic grades and has not been processed to remove potentially problematic minerals, such as pyrite. Amos et al. examine the salient aspects of the geochemistry of waste rock. Mill tailings – the waste material after ore minerals have been removed – are a volumetrically important solid waste at many mine sites. Their fine grain size and the options for their management make their behavior in the environment distinct from that of waste rock. Lindsay et al. describe some of these differences through three case-study examples. Subaqueous disposal of tailings is another option described by Moncur et al. Cyanide leaching for gold extraction is a common method throughout the world. Johnson describes environmental aspects of cyanidation. Uranium mining presents unique environmental challenges, particularly since in-situ recovery has seen widespread use. Campbell et al. review the environmental geochemistry of uranium mining and current research on bioremediation. Ore concentrates from many types of metal mining undergo a pyrometallurgical technique known as smelting to extract the metal. Slag is the result of smelting, and it may be an environmental liability or a valuable byproduct, as described by Piatak et al. Finally, the open pits that result from surface mining commonly reach below the water table. At the end of mining, these pits may fill to form lakes that become part of the legacy of the mine. Castendyk et al., in two papers, review theoretical aspects of the environmental limnology of pit lakes. They also describe approaches that have been used to model pit lake water balance, wall-rock contributions to pit lake chemistry, pit lake water quality, and limnological processes, such as vertical mixing, through the use of three case studies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2015.04.019","usgsCitation":"Seal, R., and Nordstrom, D.K., 2015, Applied Geochemistry Special Issue on Environmental geochemistry of modern mining: Applied Geochemistry, v. 57, p. 1-2, https://doi.org/10.1016/j.apgeochem.2015.04.019.","productDescription":"2 p.","startPage":"1","endPage":"2","ipdsId":"IP-063499","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":346319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d3502ae4b05fe04cc34d6f","contributors":{"authors":[{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":711701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":711702,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192765,"text":"70192765 - 2015 - A formalized approach to making effective natural resource management decisions for Alaska National Parks","interactions":[],"lastModifiedDate":"2017-11-08T12:45:02","indexId":"70192765","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"A formalized approach to making effective natural resource management decisions for Alaska National Parks","docAbstract":"A fundamental goal of the National Park Service (NPS) is the long-term protection and management of resources in the National Park System. Reaching this goal requires multiple approaches, including the conservation of essential habitats and the identification and elimination of potential threats to biota and habitats. To accomplish these goals, the NPS has implemented the Alaska Region Vital Signs Inventory and Monitoring (I&M) Program to monitor key biological, chemical, and physical components of ecosystems at more than 270 national parks. The Alaska Region has four networks—Arctic, Central, Southeast, and Southwest. By monitoring vital signs over large spatial and temporal scales, park managers are provided with information on the status and trajectory of park resources as well as a greater understanding and insight into the ecosystem dynamics. While detecting and quantifying change is important to conservation efforts, to be useful for formulating remedial actions, monitoring data must explicitly relate to management objectives and be collected in such a manner as to resolve key uncertainties about the dynamics of the system (Nichols and Williams 2006). Formal decision making frameworks (versus more traditional processes described below) allow for the explicit integration of monitoring data into decision making processes to improve the understanding of system dynamics, thereby improving future decisions (Williams 2011).
","language":"English","publisher":"National Park Service","usgsCitation":"MacCluskie, M.C., Romito, A., Peterson, J., and Lawler, J.P., 2015, A formalized approach to making effective natural resource management decisions for Alaska National Parks: Alaska Park Science, v. 14, no. 1, p. 9-13.","productDescription":"5 p.","startPage":"9","endPage":"13","ipdsId":"IP-062455","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347553,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/aps-v14-i1-c2.htm"}],"country":"United States","state":"Alaska","volume":"14","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425c2e4b0dc0b45b45403","contributors":{"authors":[{"text":"MacCluskie, Margaret C.","contributorId":50643,"corporation":false,"usgs":false,"family":"MacCluskie","given":"Margaret","email":"","middleInitial":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":721138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romito, Angela","contributorId":200147,"corporation":false,"usgs":false,"family":"Romito","given":"Angela","email":"","affiliations":[],"preferred":false,"id":721139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawler, James P.","contributorId":140458,"corporation":false,"usgs":false,"family":"Lawler","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":721140,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191817,"text":"70191817 - 2015 - Trophic ontogeny of fluvial Bull Trout and seasonal predation on Pacific Salmon in a riverine food web","interactions":[],"lastModifiedDate":"2017-10-18T10:46:02","indexId":"70191817","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","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":"Trophic ontogeny of fluvial Bull Trout and seasonal predation on Pacific Salmon in a riverine food web","docAbstract":"Bull Trout Salvelinus confluentus are typically top predators in their host ecosystems. The Skagit River in northwestern Washington State contains Bull Trout and Chinook Salmon Oncorhynchus tshawytschapopulations that are among the largest in the Puget Sound region and also contains a regionally large population of steelhead O. mykiss (anadromous Rainbow Trout). All three species are listed as threatened under the Endangered Species Act (ESA). Our objective was to determine the trophic ecology of Bull Trout, especially their role as predators and consumers in the riverine food web. We seasonally sampled distribution, diets, and growth of Bull Trout in main-stem and tributary habitats during 2007 and winter–spring 2008. Consumption rates were estimated with a bioenergetics model to (1) determine the annual and seasonal contributions of different prey types to Bull Trout energy budgets and (2) estimate the potential impacts of Bull Trout predation on juvenile Pacific salmon populations. Salmon carcasses and eggs contributed approximately 50% of the annual energy budget for large Bull Trout in main-stem habitats, whereas those prey types were largely inaccessible to smaller Bull Trout in tributary habitats. The remaining 50% of the energy budget was acquired by eating juvenile salmon, resident fishes, and immature aquatic insects. Predation on listed Chinook Salmon and steelhead/Rainbow Trout was highest during winter and spring (January–June). Predation on juvenile salmon differed between the two study years, likely due to the dominant odd-year spawning cycle for Pink Salmon O. gorbuscha. The population impact on ocean- and stream-type Chinook Salmon was negligible, whereas the impact on steelhead/Rainbow Trout was potentially very high. Due to the ESA-listed status of Bull Trout, steelhead, and Chinook Salmon, the complex trophic interactions in this drainage provide both challenges and opportunities for creative adaptive management strategies.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2015.1035452","usgsCitation":"Lowery, E.D., and Beauchamp, D.A., 2015, Trophic ontogeny of fluvial Bull Trout and seasonal predation on Pacific Salmon in a riverine food web: Transactions of the American Fisheries Society, v. 144, no. 4, p. 724-741, https://doi.org/10.1080/00028487.2015.1035452.","productDescription":"18 p.","startPage":"724","endPage":"741","ipdsId":"IP-058153","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Skagit River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.4810791015625,\n 48.04136507445029\n ],\n [\n -120.92651367187499,\n 48.04136507445029\n ],\n [\n -120.92651367187499,\n 49.001843917978526\n ],\n [\n -122.4810791015625,\n 49.001843917978526\n ],\n [\n -122.4810791015625,\n 48.04136507445029\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"144","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-15","publicationStatus":"PW","scienceBaseUri":"59e8683be4b05fe04cd4d234","contributors":{"authors":[{"text":"Lowery, Erin D.","contributorId":174525,"corporation":false,"usgs":false,"family":"Lowery","given":"Erin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":713267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192719,"text":"70192719 - 2015 - Recent changes in annual area burned in interior Alaska: The impact of fire management","interactions":[],"lastModifiedDate":"2017-11-08T13:52:49","indexId":"70192719","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Recent changes in annual area burned in interior Alaska: The impact of fire management","docAbstract":"The Alaskan boreal forest is characterized by frequent extensive wildfires whose spatial extent has been mapped for the past 70 years. Simple predictions based on this record indicate that area burned will increase as a response to climate warming in Alaska. However, two additional factors have affected the area burned in this time record: the Pacific decadal oscillation (PDO) switched from cool and moist to warm and dry in the late 1970s and the Alaska Fire Service instituted a fire suppression policy in the late 1980s. In this paper a geographic information system (GIS) is used in combination with statistical analyses to reevaluate the changes in area burned through time in Alaska considering both the influence of the PDO and fire management. The authors found that the area burned has increased since the PDO switch and that fire management drastically decreased the area burned in highly suppressed zones. However, the temporal analysis of this study shows that the area burned is increasing more rapidly in suppressed zones than in the unsuppressed zone since the late 1980s. These results indicate that fire policies as well as regional climate patterns are important as large-scale controls on fires over time and across the Alaskan boreal forest.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/EI-D-14-0025.1","usgsCitation":"Calef, M., Varvak, A., McGuire, A.D., Chapin, F.S., and Reinhold, K.B., 2015, Recent changes in annual area burned in interior Alaska: The impact of fire management: Earth Interactions, v. 19, p. 1-17, https://doi.org/10.1175/EI-D-14-0025.1.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-056705","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-14-0025.1","text":"Publisher Index Page"},{"id":348467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.67578125,\n 62.12443624549497\n ],\n [\n -143.0419921875,\n 62.12443624549497\n ],\n [\n -143.0419921875,\n 67.13582938531948\n ],\n [\n -157.67578125,\n 67.13582938531948\n ],\n [\n -157.67578125,\n 62.12443624549497\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-29","publicationStatus":"PW","scienceBaseUri":"5a0425c3e4b0dc0b45b45405","contributors":{"authors":[{"text":"Calef, M.P.","contributorId":55213,"corporation":false,"usgs":true,"family":"Calef","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":721285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varvak, Anna","contributorId":200173,"corporation":false,"usgs":false,"family":"Varvak","given":"Anna","email":"","affiliations":[],"preferred":false,"id":721286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapin, F. S. III","contributorId":16776,"corporation":false,"usgs":true,"family":"Chapin","given":"F.","suffix":"III","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reinhold, K. B.","contributorId":200174,"corporation":false,"usgs":false,"family":"Reinhold","given":"K.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":721288,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}