Southeastern Alaska is a remote coastal-maritime ecosystem that is experiencing increased deposition of mercury (Hg) as well as rapid glacier loss. Here we present the results of the first reported survey of total and methyl Hg (MeHg) concentrations in regional streams and biota. Overall, streams draining large wetland areas had higher Hg concentrations in water, mayflies, and juvenile salmon than those from glacially-influenced or recently deglaciated watersheds. Filtered MeHg was positively correlated with wetland abundance. Aqueous Hg occurred predominantly in the particulate fraction of glacier streams but in the filtered fraction of wetland-rich streams. Colonization by anadromous salmon in both glacier and wetland-rich streams may be contributing additional marine-derived Hg. The spatial distribution of Hg in the range of streams presented here shows that watersheds are variably, yet fairly predictably, sensitive to atmospheric and marine inputs of Hg.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2013.07.040","usgsCitation":"Nagorski, S.A., Engstrom, D.R., Hudson, J.P., Krabbenhoft, D.P., Hood, E., DeWild, J.F., and Aiken, G.R., 2014, Spatial distribution of mercury in southeastern Alaskan streams influenced by glaciers, wetlands, and salmon: Environmental Pollution, v. 184, p. 62-72, https://doi.org/10.1016/j.envpol.2013.07.040.","productDescription":"11 p.","startPage":"62","endPage":"72","ipdsId":"IP-046100","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343945,"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 -137.274169921875,\n 58.03718871323224\n ],\n [\n -133.79150390625,\n 58.03718871323224\n ],\n [\n -133.79150390625,\n 59.80063426102869\n ],\n [\n -137.274169921875,\n 59.80063426102869\n ],\n [\n -137.274169921875,\n 58.03718871323224\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"184","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596dcca4e4b0d1f9f062756b","contributors":{"authors":[{"text":"Nagorski, Sonia A.","contributorId":32940,"corporation":false,"usgs":true,"family":"Nagorski","given":"Sonia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engstrom, Daniel R.","contributorId":82665,"corporation":false,"usgs":true,"family":"Engstrom","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":705192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, John P.","contributorId":171887,"corporation":false,"usgs":false,"family":"Hudson","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":705193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":705195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705196,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705197,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70185705,"text":"70185705 - 2014 - Resolving terrestrial ecosystem processes along a subgrid topographic gradient for an earth-system model","interactions":[],"lastModifiedDate":"2017-03-28T09:58:08","indexId":"70185705","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Resolving terrestrial ecosystem processes along a subgrid topographic gradient for an earth-system model","docAbstract":"Soil moisture is a crucial control on surface water and energy fluxes, vegetation, and soil carbon cycling. Earth-system models (ESMs) generally represent an areal-average soil-moisture state in gridcells at scales of 50–200 km and as a result are not able to capture the nonlinear effects of topographically-controlled subgrid heterogeneity in soil moisture, in particular where wetlands are present. We addressed this deficiency by building a subgrid representation of hillslope-scale topographic gradients, TiHy (Tiled-hillslope Hydrology), into the Geophysical Fluid Dynamics Laboratory (GFDL) land model (LM3). LM3-TiHy models one or more representative hillslope geometries for each gridcell by discretizing them into land model tiles hydrologically coupled along an upland-to-lowland gradient. Each tile has its own surface fluxes, vegetation, and vertically-resolved state variables for soil physics and biogeochemistry. LM3-TiHy simulates a gradient in soil moisture and water-table depth between uplands and lowlands in each gridcell. Three hillslope hydrological regimes appear in non-permafrost regions in the model: wet and poorly-drained, wet and well-drained, and dry; with large, small, and zero wetland area predicted, respectively. Compared to the untiled LM3 in stand-alone experiments, LM3-TiHy simulates similar surface energy and water fluxes in the gridcell-mean. However, in marginally wet regions around the globe, LM3-TiHy simulates shallow groundwater in lowlands, leading to higher evapotranspiration, lower surface temperature, and higher leaf area compared to uplands in the same gridcells. Moreover, more than four-fold larger soil carbon concentrations are simulated globally in lowlands as compared with uplands. We compared water-table depths to those simulated by a recent global model-observational synthesis, and we compared wetland and inundated areas diagnosed from the model to observational datasets. The comparisons demonstrate that LM3-TiHy has the capability to represent some of the controls of these hydrological variables, but also that improvement in parameterization and input datasets are needed for more realistic simulations. We found large sensitivity in model-diagnosed wetland and inundated area to the depth of conductive soil and the parameterization of macroporosity. With improved parameterization and inclusion of peatland biogeochemical processes, the model could provide a new approach to investigating the vulnerability of Boreal peatland carbon to climate change in ESMs.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hessd-11-8443-2014","usgsCitation":"Subin, Z., Milly, P., Sulman, B.N., Malyshev, S., and Shevliakova, E., 2014, Resolving terrestrial ecosystem processes along a subgrid topographic gradient for an earth-system model: Hydrology and Earth System Sciences, v. 11, p. 8443-8492, https://doi.org/10.5194/hessd-11-8443-2014.","productDescription":"50 p.","startPage":"8443","endPage":"8492","ipdsId":"IP-056981","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473315,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.5194/hessd-11-8443-2014","text":"External Repository"},{"id":338439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58db7631e4b0ee37af29e4a4","contributors":{"authors":[{"text":"Subin, Z M","contributorId":189918,"corporation":false,"usgs":false,"family":"Subin","given":"Z M","affiliations":[],"preferred":false,"id":686473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":686472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sulman, B N","contributorId":189919,"corporation":false,"usgs":false,"family":"Sulman","given":"B","email":"","middleInitial":"N","affiliations":[],"preferred":false,"id":686474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malyshev, Sergey","contributorId":189177,"corporation":false,"usgs":false,"family":"Malyshev","given":"Sergey","affiliations":[],"preferred":false,"id":686475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shevliakova, E","contributorId":189920,"corporation":false,"usgs":false,"family":"Shevliakova","given":"E","affiliations":[],"preferred":false,"id":686476,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173623,"text":"70173623 - 2014 - Carcass analog provides marine subsidies for macroinvertebrates and juvenile Atlantic 8 salmon in temperate oligotrophic streams","interactions":[],"lastModifiedDate":"2016-06-09T15:19:04","indexId":"70173623","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Carcass analog provides marine subsidies for macroinvertebrates and juvenile Atlantic 8 salmon in temperate oligotrophic streams","docAbstract":"This field guide covers geology across north-central Idaho from the Snake River in the west across the Bitterroot Mountains to the east to near Missoula, Montana. The regional geology includes a much-modified Mesozoic accretionary boundary along the western side of Idaho across which allochthonous Permian to Cretaceous arc complexes of the Blue Mountains province to the west are juxtaposed against autochthonous Mesoproterozoic and Neoproterozoic North American metasedimentary assemblages intruded by Cretaceous and Paleogene plutons to the east. The accretionary boundary turns sharply near Orofino, Idaho, from north-trending in the south to west-trending, forming the Syringa embayment, then disappears westward under Miocene cover rocks of the Columbia River Basalt Group. The Coolwater culmination east of the Syringa embayment exposes allochthonous rocks well east of an ideal steep suture. North and east of it is the Bitterroot lobe of the Idaho batholith, which intruded Precambrian continental crust in the Cretaceous and Paleocene to form one of the classical North American Cordilleran batholiths. Eocene Challis plutons, products of the Tertiary western U.S. ignimbrite flare-up, intrude those batholith rocks. This guide describes the geology in three separate road logs: (1) The Wallowa terrane of the Blue Mountains province from White Bird, Idaho, west into Hells Canyon and faults that complicate the story; (2) the Mesozoic accretionary boundary from White Bird to the South Fork Clearwater River east of Grangeville and then north to Kooskia, Idaho; and (3) the bend in the accretionary boundary, the Coolwater culmination, and the Bitterroot lobe of the Idaho batholith along Highway 12 east from near Lewiston, Idaho, to Lolo, Montana.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Exploring the Northern Rocky Mountains","language":"English","publisher":"Geological Society of America","doi":"10.1130/2014.0037(01)","usgsCitation":"Lewis, R., Smith, K.L., Gaschnig, R.M., LaMaskin, T.A., Lund, K., Gray, K.D., Tikoff, B., Stetson-Lee, T., and Moore, N., 2014, Hells Canyon to the Bitterroot front: A transect from the accretionary margin eastward across the Idaho batholith, chap. of Exploring the Northern Rocky Mountains, v. 37, p. 1-50, https://doi.org/10.1130/2014.0037(01).","productDescription":"50 p.","startPage":"1","endPage":"50","ipdsId":"IP-053668","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":351657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117,\n 47\n ],\n [\n -114,\n 47\n ],\n [\n -114,\n 45\n ],\n [\n -117,\n 45\n ],\n [\n -117,\n 47\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeee10e4b0da30c1bfc755","contributors":{"authors":[{"text":"Lewis, Reed S.","contributorId":34953,"corporation":false,"usgs":true,"family":"Lewis","given":"Reed S.","affiliations":[],"preferred":false,"id":713366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Keegan L.","contributorId":202510,"corporation":false,"usgs":false,"family":"Smith","given":"Keegan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":728619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaschnig, Richard M.","contributorId":31220,"corporation":false,"usgs":true,"family":"Gaschnig","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":728620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaMaskin, Todd A.","contributorId":105558,"corporation":false,"usgs":true,"family":"LaMaskin","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":728621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lund, Karen 0000-0002-4249-3582 klund@usgs.gov","orcid":"https://orcid.org/0000-0002-4249-3582","contributorId":1235,"corporation":false,"usgs":true,"family":"Lund","given":"Karen","email":"klund@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":713365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Keith D.","contributorId":202511,"corporation":false,"usgs":false,"family":"Gray","given":"Keith","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":728622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tikoff, Basil","contributorId":147760,"corporation":false,"usgs":false,"family":"Tikoff","given":"Basil","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":728623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stetson-Lee, Tor","contributorId":202512,"corporation":false,"usgs":false,"family":"Stetson-Lee","given":"Tor","email":"","affiliations":[],"preferred":false,"id":728624,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moore, Nicholas","contributorId":202513,"corporation":false,"usgs":false,"family":"Moore","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":728625,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70169065,"text":"70169065 - 2014 - Management and monitoring of the endangered Shenandoah salamander under climate change: Workshop report 10-12 April 2012","interactions":[],"lastModifiedDate":"2017-03-08T09:49:34","indexId":"70169065","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SHEN/NRR—2014/867","title":"Management and monitoring of the endangered Shenandoah salamander under climate change: Workshop report 10-12 April 2012","docAbstract":"Here we report on a structured decision making (SDM) process to identify management strategies to ensure persistence of the federally endangered Shenandoah salamander (Plethodon shenandoah), given that it may be at increased extinction risk under projected climate change. The focus of this report is the second of two SDM workshops; in the first workshop, participants developed a prototype of the decision, including problem frame, management objectives and a suite of potential management strategies, predictive models to inform the decision and link alternatives with the objectives to identify potential solutions, and identified data needs to reduce key uncertainties in the decision. Participants in this second workshop included experts in National Park Service policy at multiple administrative levels, who refined objectives, further evaluated the initial management alternatives, and discussed policy constraints on implementing active management for the species and its high-elevation habitat. The conclusion of the second workshop was similar to that of the first: the current state of information and objectives suggest that there is some value in considering active management to reduce the long-term extinction risk for the species, though there are institutional conservative policies to implementing active management at range-wide scales. The workshop participants also emphasized a conservative NPS management philosophy, including caution in implementing management actions that may ultimately harm the system, a stated assumption that ecosystem changes were “natural” unless demonstrated otherwise (therefore not warranting active management to mitigate), and a need to demonstrate that extinction risk is tied to anthropogenic influence prior to taking active management to mitigate specific anthropogenic influences. Even within a protected area having minimal human disturbance, intertwined environmental variables and interspecific relationships that drive population trends challenge our ability to demonstrate direct links with (anthropogenically influenced) climate change and the decline of a species. Thus while this policy may reduce the potential for injurious management, it may also necessitate extraordinary resources to reduce uncertainty regarding fundamental drivers of species decline prior to taking action.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Campbell Grant, E.H., Wofford, J.E., Smith, D., Dennis, J., Hawkins-Hoffman, C., Schaberl, J., Foley, M., and Bogle, M., 2014, Management and monitoring of the endangered Shenandoah salamander under climate change: Workshop report 10-12 April 2012: Natural Resource Report NPS/SHEN/NRR—2014/867, v, 31 p.","productDescription":"v, 31 p.","numberOfPages":"42","ipdsId":"IP-059099","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":337012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":337011,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/510286"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c1263be4b014cc3a3d3496","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":622750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wofford, John E. B.","contributorId":38951,"corporation":false,"usgs":false,"family":"Wofford","given":"John","email":"","middleInitial":"E. B.","affiliations":[],"preferred":false,"id":681172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":681173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dennis, J.","contributorId":187655,"corporation":false,"usgs":false,"family":"Dennis","given":"J.","email":"","affiliations":[],"preferred":false,"id":681174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hawkins-Hoffman, C.","contributorId":105677,"corporation":false,"usgs":true,"family":"Hawkins-Hoffman","given":"C.","email":"","affiliations":[],"preferred":false,"id":681175,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaberl, J.","contributorId":187656,"corporation":false,"usgs":false,"family":"Schaberl","given":"J.","email":"","affiliations":[],"preferred":false,"id":681176,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foley, M.","contributorId":187657,"corporation":false,"usgs":false,"family":"Foley","given":"M.","email":"","affiliations":[],"preferred":false,"id":681177,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bogle, M.","contributorId":71384,"corporation":false,"usgs":true,"family":"Bogle","given":"M.","email":"","affiliations":[],"preferred":false,"id":681178,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189052,"text":"70189052 - 2014 - Petrology and chemistry of the Green Acres gabbro complex near Winchester, Riverside County, California","interactions":[],"lastModifiedDate":"2019-02-01T16:12:12","indexId":"70189052","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Petrology and chemistry of the Green Acres gabbro complex near Winchester, Riverside County, California","docAbstract":"The Cretaceous Green Acres layered igneous complex, northeast of Winchester, California, is composed of a suite of olivine- and hornblende-bearing gabbros in the Peninsular Ranges batholith within the Perris tectonic block. A consistent mineral assemblage is observed throughout the complex, but there is considerable textural and modal heterogeneity. Both preclude a consistent set of principles based on appearance and mineralogy on which to delineate map units. Distinct changes in the chemistry of olivine, pyroxene, and hornblende, however, serve to define discrete mappable units, and the complex has been divided into five geochemical map units on this basis.
Limited whole-rock data show the Green Acres complex is chemically comparable to other Peninsular Ranges batholith gabbroic rocks, and rare earth element (REE) concentrations and patterns are typical of magmas generated in convergent margin settings. For the complex as a whole, olivine is Fo80–35, plagioclase is An100–64, clinopyroxene is Wo49–41En48–38Fs18–6 and Wo36–26En65–42Fs30–8, and orthopyroxene is Wo5–0En78–42Fs50–21, where Fo is forsterite, An is anorthite, Wo is wollastonite, En is enstatite, and Fs is ferrosilite. The Mg/(Mg + ΣFe) atomic ratio in hornblende ranges from 0.84 to 0.50.
Magmatic lineations and modal and textural layering are prevalent throughout the complex. Mineral chemistry does not change in any systematic way within and between layers in any map unit. Although the strike of layering varies, in any map unit at any given location it is the same in all units irrespective of intrusive order. Thin dikes, typically late-stage hornblende gabbro, commonly intrude parallel to layering. The strikes of magmatic lineations and modal layers are consistent with the populations of strikes of fabrics in the metamorphic basement as well as tectonic features in surrounding, postgabbro granitic rocks. These relations imply that the regional state of stress at the time of gabbro emplacement played a role in layer formation in conjunction with thermal and hydraulic pressure perturbations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Peninsular Ranges Batholith, Baja California and Southern California","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2014.1211(10)","usgsCitation":"Berger, B.R., 2014, Petrology and chemistry of the Green Acres gabbro complex near Winchester, Riverside County, California, chap. of Peninsular Ranges Batholith, Baja California and Southern California, v. 211, p. 365-394, https://doi.org/10.1130/2014.1211(10).","productDescription":"30 p.","startPage":"365","endPage":"394","ipdsId":"IP-026650","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Riverside County","volume":"211","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c2e4b0d1f9f05067ba","contributors":{"editors":[{"text":"Morton, Douglas M. scamp@usgs.gov","contributorId":4102,"corporation":false,"usgs":true,"family":"Morton","given":"Douglas","email":"scamp@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":702736,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Miller, Fred K.","contributorId":89503,"corporation":false,"usgs":true,"family":"Miller","given":"Fred","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":702737,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702655,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189095,"text":"70189095 - 2014 - Multielevation calibration of frequency-domain electromagnetic data","interactions":[],"lastModifiedDate":"2017-06-29T14:58:22","indexId":"70189095","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Multielevation calibration of frequency-domain electromagnetic data","docAbstract":"Systematic calibration errors must be taken into account because they can substantially impact the accuracy of inverted subsurface resistivity models derived from frequency-domain electromagnetic data, resulting in potentially misleading interpretations. We have developed an approach that uses data acquired at multiple elevations over the same location to assess calibration errors. A significant advantage is that this method does not require prior knowledge of subsurface properties from borehole or ground geophysical data (though these can be readily incorporated if available), and is, therefore, well suited to remote areas. The multielevation data were used to solve for calibration parameters and a single subsurface resistivity model that are self consistent over all elevations. The deterministic and Bayesian formulations of the multielevation approach illustrate parameter sensitivity and uncertainty using synthetic- and field-data examples. Multiplicative calibration errors (gain and phase) were found to be better resolved at high frequencies and when data were acquired over a relatively conductive area, whereas additive errors (bias) were reasonably resolved over conductive and resistive areas at all frequencies. The Bayesian approach outperformed the deterministic approach when estimating calibration parameters using multielevation data at a single location; however, joint analysis of multielevation data at multiple locations using the deterministic algorithm yielded the most accurate estimates of calibration parameters. Inversion results using calibration-corrected data revealed marked improvement in misfit, lending added confidence to the interpretation of these models.
No abstract available.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Reynolds, R.P., Whatton, J.F., and Gebhard, C.A., 2014, Gymnophthalmus speciosus (golden spectacled tegu): predation by great egret: Herpetological Review, v. 45, no. 1.","productDescription":"1 p.","startPage":"128","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052675","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":297537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2bb8e4b08de9379b34a6","contributors":{"authors":[{"text":"Reynolds, Robert P. rpreynolds@usgs.gov","contributorId":3561,"corporation":false,"usgs":true,"family":"Reynolds","given":"Robert","email":"rpreynolds@usgs.gov","middleInitial":"P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":518641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whatton, James F.","contributorId":36847,"corporation":false,"usgs":false,"family":"Whatton","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":539269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gebhard, Christina A.","contributorId":54107,"corporation":false,"usgs":true,"family":"Gebhard","given":"Christina","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":539270,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187161,"text":"70187161 - 2014 - Retirement investment theory explains patterns in songbird nest-site choice","interactions":[],"lastModifiedDate":"2017-04-25T15:55:50","indexId":"70187161","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Retirement investment theory explains patterns in songbird nest-site choice","docAbstract":"When opposing evolutionary selection pressures act on a behavioural trait, the result is often stabilizing selection for an intermediate optimal phenotype, with deviations from the predicted optimum attributed to tracking a moving target, development of behavioural syndromes or shifts in riskiness over an individual's lifetime. We investigated nest-site choice by female golden-winged warblers, and the selection pressures acting on that choice by two fitness components, nest success and fledgling survival. We observed strong and consistent opposing selection pressures on nest-site choice for maximizing these two fitness components, and an abrupt, within-season switch in the fitness component birds prioritize via nest-site choice, dependent on the time remaining for additional nesting attempts. We found that females consistently deviated from the predicted optimal behaviour when choosing nest sites because they can make multiple attempts at one fitness component, nest success, but only one attempt at the subsequent component, fledgling survival. Our results demonstrate a unique natural strategy for balancing opposing selection pressures to maximize total fitness. This time-dependent switch from high to low risk tolerance in nest-site choice maximizes songbird fitness in the same way a well-timed switch in human investor risk tolerance can maximize one's nest egg at retirement. Our results also provide strong evidence for the adaptive nature of songbird nest-site choice, which we suggest has been elusive primarily due to a lack of consideration for fledgling survival.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2013.1834","usgsCitation":"Streby, H.M., Refsnider, J.M., Peterson, S.M., and Andersen, D., 2014, Retirement investment theory explains patterns in songbird nest-site choice: Proceedings of the Royal Society B: Biological Sciences, v. 281, no. 1777, Article 20131834; 8 p., https://doi.org/10.1098/rspb.2013.1834.","productDescription":"Article 20131834; 8 p.","ipdsId":"IP-043002","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2013.1834","text":"Publisher Index Page"},{"id":340412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Manitoba, Minnesota","otherGeospatial":"Rice Lake National Wildlife Refuge, Sandilands Provincial Forest, Tamarac National Wildlife Refuge","volume":"281","issue":"1777","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-22","publicationStatus":"PW","scienceBaseUri":"59006065e4b0e85db3a5dded","contributors":{"authors":[{"text":"Streby, Henry M.","contributorId":11024,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":692866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Refsnider, Jeanine M.","contributorId":166948,"corporation":false,"usgs":false,"family":"Refsnider","given":"Jeanine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":692946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Sean M.","contributorId":9354,"corporation":false,"usgs":false,"family":"Peterson","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false},{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":692947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":true,"id":692948,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187145,"text":"70187145 - 2014 - A hydrogeomorphic river network model predicts where and why hyporheic exchange is important in large basins","interactions":[],"lastModifiedDate":"2017-04-25T10:59:11","indexId":"70187145","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","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":"A hydrogeomorphic river network model predicts where and why hyporheic exchange is important in large basins","docAbstract":"Hyporheic exchange has been hypothesized to have basin-scale consequences; however, predictions throughout river networks are limited by available geomorphic and hydrogeologic data and by models that can analyze and aggregate hyporheic exchange flows across large spatial scales. We developed a parsimonious but physically based model of hyporheic flow for application in large river basins: Networks with EXchange and Subsurface Storage (NEXSS). We applied NEXSS across a broad range of geomorphic diversity in river reaches and synthetic river networks. NEXSS demonstrates that vertical exchange beneath submerged bed forms rather than lateral exchange through meanders dominates hyporheic fluxes and turnover rates along river corridors. Per kilometer, low-order streams have a biogeochemical potential at least 2 orders of magnitude larger than higher-order streams. However, when biogeochemical potential is examined per average length of each stream order, low- and high-order streams were often found to be comparable. As a result, the hyporheic zone's intrinsic potential for biogeochemical transformations is comparable across different stream orders, but the greater river miles and larger total streambed area of lower order streams result in the highest cumulative impact from low-order streams. Lateral exchange through meander banks may be important in some cases but generally only in large rivers.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2014GL061099","usgsCitation":"Gomez-Velez, J., and Harvey, J., 2014, A hydrogeomorphic river network model predicts where and why hyporheic exchange is important in large basins: Geophysical Research Letters, v. 41, no. 18, p. 6403-6412, https://doi.org/10.1002/2014GL061099.","productDescription":"10 p.","startPage":"6403","endPage":"6412","ipdsId":"IP-059472","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl061099","text":"Publisher Index Page"},{"id":340245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"18","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-19","publicationStatus":"PW","scienceBaseUri":"59006065e4b0e85db3a5ddef","contributors":{"authors":[{"text":"Gomez-Velez, Jesus D. jgomezvelez@usgs.gov","contributorId":191320,"corporation":false,"usgs":true,"family":"Gomez-Velez","given":"Jesus D.","email":"jgomezvelez@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":692743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":692744,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148121,"text":"70148121 - 2014 - Distribution and habitat associations of juvenile Common Snook in the lower Rio Grande, Texas","interactions":[],"lastModifiedDate":"2015-06-03T10:28:30","indexId":"70148121","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and habitat associations of juvenile Common Snook in the lower Rio Grande, Texas","docAbstract":"Common Snook Centropomus undecimalis were once abundant off the Texas coast, but these populations are now characterized by low abundance and erratic recruitment. Most research concerning Common Snook in North America has been conducted in Florida and very little is known about the specific biology and habitat needs of Common Snook in Texas. The primary objective of this study was to describe the habitat use patterns of juvenile Common Snook and their role in the fish assemblage in the lower portion of the Rio Grande, Texas. Secondarily, we documented the relationship between age and juvenile reproductive development. Fish were collected during January–March 2006 from the lower 51.5 km of the Rio Grande using a bottom trawl and boat-mounted electrofisher. Measurements of water quality and other habitat traits were recorded at each sampling site. We captured 225 Common Snook exclusively in freshwater habitats above river kilometer 12.9. The distribution of juvenile Common Snook was not random, but influenced primarily by turbidity and dissolved oxygen. Sex differentiation and gonadal development based on histological examination of gonads established that age-1 and age-2 Common Snook were juvenile, prepubertal males. There was no difference between the age groups in their overall distribution in the river. However, age-2 Common Snook were associated with deeper areas with faster currents, higher conductivity, and steeper banks. Overall, Common Snook in the lower Rio Grande show substantial differences in habitat use than their counterparts in other parts of the range of the species, but it is unclear whether this is due to differences in habitat availability, behavioral plasticity, or some combination thereof.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19425120.2014.920744","usgsCitation":"Huber, C.G., Grabowski, T.B., Patino, R., and Pope, K.L., 2014, Distribution and habitat associations of juvenile Common Snook in the lower Rio Grande, Texas: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 6, no. 1, p. 170-180, https://doi.org/10.1080/19425120.2014.920744.","productDescription":"11 p.","startPage":"170","endPage":"180","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029311","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473290,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2014.920744","text":"Publisher Index Page"},{"id":301006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.38075256347656,\n 25.848718947819023\n ],\n [\n -97.36152648925781,\n 25.845011216684284\n ],\n [\n -97.35191345214844,\n 25.868491550461812\n ],\n [\n -97.35809326171875,\n 25.906791552589468\n ],\n [\n -97.34642028808594,\n 25.918526162075153\n ],\n [\n -97.327880859375,\n 25.912350197371556\n ],\n [\n -97.29904174804688,\n 25.9228491448873\n ],\n [\n -97.27020263671875,\n 25.935817142040126\n ],\n [\n -97.2674560546875,\n 25.944461680551118\n ],\n [\n -97.24617004394531,\n 25.941374418200503\n ],\n [\n -97.21527099609375,\n 25.95248818387927\n ],\n [\n -97.19810485839844,\n 25.951253372828724\n ],\n [\n -97.174072265625,\n 25.954340376169696\n ],\n [\n -97.16720581054688,\n 25.953722981977684\n ],\n [\n -97.16377258300781,\n 25.942609332852275\n ],\n [\n -97.14454650878906,\n 25.94816628853973\n ],\n [\n -97.14591979980467,\n 25.962983554822678\n ],\n [\n -97.1692657470703,\n 25.972243398901558\n ],\n [\n -97.19467163085938,\n 25.966687579916506\n ],\n [\n -97.21046447753906,\n 25.971626098639387\n ],\n [\n -97.24685668945311,\n 25.96113149854908\n ],\n [\n -97.26058959960938,\n 25.95742729855581\n ],\n [\n -97.28050231933594,\n 25.963600900436045\n ],\n [\n -97.294921875,\n 25.959279413126282\n ],\n [\n -97.29217529296875,\n 25.94754886196875\n ],\n [\n -97.29011535644531,\n 25.940139490600565\n ],\n [\n -97.30659484863281,\n 25.942609332852275\n ],\n [\n -97.31620788574219,\n 25.93828707492375\n ],\n [\n -97.32994079589844,\n 25.930877120921785\n ],\n [\n -97.35122680664062,\n 25.938904550052868\n ],\n [\n -97.3828125,\n 25.90864446329127\n ],\n [\n -97.37525939941406,\n 25.898144251161693\n ],\n [\n -97.37663269042969,\n 25.886407614212853\n ],\n [\n -97.37800598144531,\n 25.87158072084242\n ],\n [\n -97.3725128173828,\n 25.86787370669376\n ],\n [\n -97.38349914550781,\n 25.858605662541322\n ],\n [\n -97.38075256347656,\n 25.848718947819023\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-22","publicationStatus":"PW","scienceBaseUri":"55702534e4b0d9246a9fd192","contributors":{"authors":[{"text":"Huber, Caleb G.","contributorId":48823,"corporation":false,"usgs":true,"family":"Huber","given":"Caleb","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":548130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":548132,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168394,"text":"70168394 - 2014 - Quantifying spatial scaling patterns and their local and regional correlates in headwater streams: Implications for resilience","interactions":[],"lastModifiedDate":"2016-02-15T15:52:45","indexId":"70168394","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying spatial scaling patterns and their local and regional correlates in headwater streams: Implications for resilience","docAbstract":"The distribution of functional traits within and across spatiotemporal scales has been used to quantify and infer the relative resilience across ecosystems. We use explicit spatial modeling to evaluate within- and cross-scale redundancy in headwater streams, an ecosystem type with a hierarchical and dendritic network structure. We assessed the cross-scale distribution of functional feeding groups of benthic invertebrates in Swedish headwater streams during two seasons. We evaluated functional metrics, i.e., Shannon diversity, richness, and evenness, and the degree of redundancy within and across modeled spatial scales for individual feeding groups. We also estimated the correlates of environmental versus spatial factors of both functional composition and the taxonomic composition of functional groups for each spatial scale identified. Measures of functional diversity and within-scale redundancy of functions were similar during both seasons, but both within- and cross-scale redundancy were low. This apparent low redundancy was partly attributable to a few dominant taxa explaining the spatial models. However, rare taxa with stochastic spatial distributions might provide additional information and should therefore be considered explicitly for complementing future resilience assessments. Otherwise, resilience may be underestimated. Finally, both environmental and spatial factors correlated with the scale-specific functional and taxonomic composition. This finding suggests that resilience in stream networks emerges as a function of not only local conditions but also regional factors such as habitat connectivity and invertebrate dispersal.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ottawa","doi":"10.5751/ES-06750-190315","usgsCitation":"Gothe, E., Sandin, L., Allen, C.R., and Angeler, D., 2014, Quantifying spatial scaling patterns and their local and regional correlates in headwater streams: Implications for resilience: Ecology and Society, v. 19, no. 3, art15: 11 p., https://doi.org/10.5751/ES-06750-190315.","productDescription":"art15: 11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071795","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473273,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-06750-190315","text":"Publisher Index Page"},{"id":317930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Sweden","otherGeospatial":"Krycklan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 21.665039062499996,\n 64.45384948864441\n ],\n [\n 20.91796875,\n 64.07219957867284\n ],\n [\n 20.302734375,\n 63.60721668033077\n ],\n [\n 19.335937499999996,\n 63.35212928507874\n ],\n [\n 18.6767578125,\n 63.03503931552975\n ],\n [\n 17.3583984375,\n 63.25341156651705\n ],\n [\n 15.908203125,\n 63.80189351770543\n ],\n [\n 15.380859374999998,\n 64.28275952823394\n ],\n [\n 15.380859374999998,\n 65.07213008560697\n ],\n [\n 15.556640624999998,\n 65.54936668811527\n ],\n [\n 16.34765625,\n 65.98227002980873\n ],\n [\n 18.369140624999996,\n 66.23145747862573\n ],\n [\n 20.6103515625,\n 66.08936427047085\n ],\n [\n 21.708984375,\n 65.4217295985527\n ],\n [\n 21.796875,\n 65.18303007291382\n ],\n [\n 21.4013671875,\n 64.830253743883\n ],\n [\n 21.665039062499996,\n 64.45384948864441\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bdbecae4b06458514aeedc","contributors":{"authors":[{"text":"Gothe, Emma","contributorId":166718,"corporation":false,"usgs":false,"family":"Gothe","given":"Emma","email":"","affiliations":[],"preferred":false,"id":619866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandin, Leonard","contributorId":13844,"corporation":false,"usgs":true,"family":"Sandin","given":"Leonard","email":"","affiliations":[],"preferred":false,"id":619867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":619868,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148128,"text":"70148128 - 2014 - Spawning behavior in Atlantic cod: analysis by use of data storage tags","interactions":[],"lastModifiedDate":"2015-06-03T10:52:00","indexId":"70148128","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Spawning behavior in Atlantic cod: analysis by use of data storage tags","docAbstract":"Electronic data storage tags (DSTs) were implanted into Atlantic cod captured in Icelandic waters from 2002 to 2007 and the depth profiles recovered from these tags (females: n = 31, males: n = 27) were used to identify patterns consistent with published descriptions of cod courtship and spawning behavior. The individual periods of time that males spent exhibiting behavior consistent with being present in a spawning aggregation—i.e. periods consisting of a clear tidal signature in the DST depth profile associated with an individual remaining on or near the substrate—were longer than those of females. Over the course of a spawning season, male cod spent approximately twice the amount of time in spawning aggregations than females, but female cod visited more aggregations per unit time. On average, males participated in approximately 57% more putative spawning events, i.e. vertical ascents potentially corresponding to gamete release, than did females. However, males <85 cm total length participated in the same number of putative spawning events as females of comparable size. In both sexes, larger individuals and/or individuals that spent a longer period of time within an aggregation participated in a larger number of putative spawning events. Although further validation and refinement is necessary, particularly in the identification of spawning events, the ability offered by DSTs to quantify cod spawning behavior may aid in the development of management and conservation plans.
","language":"English","publisher":"Inter-Research","doi":"10.3354/meps10787","usgsCitation":"Grabowski, T.B., Thorsteinsson, V., and Marteinsdottir, G., 2014, Spawning behavior in Atlantic cod: analysis by use of data storage tags: Marine Ecology Progress Series, v. 506, p. 279-290, https://doi.org/10.3354/meps10787.","productDescription":"12 p.","startPage":"279","endPage":"290","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050100","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10787","text":"Publisher Index Page"},{"id":301015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iceland","volume":"506","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5570253fe4b0d9246a9fd1b3","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorsteinsson, Vilhjalmur","contributorId":49215,"corporation":false,"usgs":true,"family":"Thorsteinsson","given":"Vilhjalmur","email":"","affiliations":[],"preferred":false,"id":548146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marteinsdottir, Gudrun","contributorId":11099,"corporation":false,"usgs":false,"family":"Marteinsdottir","given":"Gudrun","email":"","affiliations":[],"preferred":false,"id":548147,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70147947,"text":"70147947 - 2014 - Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities","interactions":[],"lastModifiedDate":"2015-05-08T16:55:20","indexId":"70147947","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities","docAbstract":"Conservation efforts for threatened or endangered species are challenging because the multi-scale factors that relate to their decline or inhibit their recovery are often unknown. To further exacerbate matters, the perceptions associated with the mechanisms of species decline are often viewed myopically rather than across the entire species range. We used over 80 years of fish presence data collected from the Great Plains and associated ecoregions of the United States, to investigate the relative influence of changing environmental factors on the historic and current truncated distributions of the Arkansas River shiner Notropis girardi. Arkansas River shiner represent a threatened reproductive ecotype considered especially well adapted to the harsh environmental extremes of the Great Plains. Historic (n = 163 records) and current (n = 47 records) species distribution models were constructed using a vector-based approach in MaxEnt by splitting the available data at a time when Arkansas River shiner dramatically declined. Discharge and stream order were significant predictors in both models; however, the shape of the relationship between the predictors and species presence varied between time periods. Drift distance (river fragment length available for ichthyoplankton downstream drift before meeting a barrier) was a more important predictor in the current model and indicated river segments 375–780 km had the highest probability of species presence. Performance for the historic and current models was high (area under the curve; AUC > 0.95); however, forecasting and backcasting to alternative time periods suggested less predictive power. Our results identify fragments that could be considered refuges for endemic plains fish species and we highlight significant environmental factors (e.g., discharge) that could be manipulated to aid recovery.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12329","usgsCitation":"Worthington, T.A., Brewer, S.K., Grabowski, T.B., and Mueller, J., 2014, Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities: Global Change Biology, v. 20, no. 1, p. 89-102, https://doi.org/10.1111/gcb.12329.","productDescription":"14 p.","startPage":"89","endPage":"102","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045497","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.9736328125,\n 34.052659421375964\n ],\n [\n -107.9736328125,\n 40.245991504199026\n ],\n [\n -91.49414062499999,\n 40.245991504199026\n ],\n [\n -91.49414062499999,\n 34.052659421375964\n ],\n [\n -107.9736328125,\n 34.052659421375964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-16","publicationStatus":"PW","scienceBaseUri":"554dde29e4b082ec54129f19","contributors":{"authors":[{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":546500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":546501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":546502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, Julia","contributorId":140663,"corporation":false,"usgs":false,"family":"Mueller","given":"Julia","affiliations":[],"preferred":false,"id":546503,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148145,"text":"70148145 - 2014 - Assessing distribution of migratory fishes and connectivity following complete and partial dam removals in a North Carolina River","interactions":[],"lastModifiedDate":"2015-05-27T13:44:03","indexId":"70148145","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing distribution of migratory fishes and connectivity following complete and partial dam removals in a North Carolina River","docAbstract":"Fish, especially migratory species, are assumed to benefit from dam removals that restore connectivity and access to upstream habitat, but few studies have evaluated this assumption. Therefore, we assessed the movement of migratory fishes in the springs of 2008 through 2010 and surveyed available habitat in the Little River, North Carolina, a tributary to the Neuse River, after three complete dam removals and one partial (notched) dam removal. We tagged migratory fishes with PIT tags at a resistance-board weir located at a dam removal site (river kilometer [rkm] 3.7) and followed their movements with an array of PIT antennas. The river-wide distribution of fish following removals varied by species. For example, 24–31% of anadromous American Shad Alosa sapidissima, 45–49% of resident Gizzard Shad Dorosoma cepedianum, and 4–11% of nonnative Flathead CatfishPylodictis olivaris passed the dam removal site at rkm 56 in 2009 and 2010. No preremoval data were available for comparison, but reach connectivity appeared to increase as tagged individuals passed former dam sites and certain individuals moved extensively both upstream and downstream. However, 17–28% did not pass the partially removed dam at rkm 7.9, while 20–39% of those that passed remained downstream for more than a day before migrating upstream. Gizzard Shad required the deepest water to pass this notched structure, followed by American Shad then Flathead Catfish. Fish that passed the notched dam accessed more complex habitat (e.g., available substrate size-classes) in the middle and upper reaches. The results provide strong support for efforts to restore currently inaccessible habitat through complete removal of derelict dams.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2014.938140","usgsCitation":"Raabe, J.K., and Hightower, J.E., 2014, Assessing distribution of migratory fishes and connectivity following complete and partial dam removals in a North Carolina River: North American Journal of Fisheries Management, v. 34, no. 5, p. 955-969, https://doi.org/10.1080/02755947.2014.938140.","productDescription":"15 p.","startPage":"955","endPage":"969","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051811","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Little River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547482,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195290,"text":"70195290 - 2014 - Understanding the value of imperfect science from national estimates of bird mortality from window collisions","interactions":[],"lastModifiedDate":"2018-02-07T15:23:54","indexId":"70195290","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the value of imperfect science from national estimates of bird mortality from window collisions","docAbstract":"The publication of a U.S. estimate of bird–window collisions by Loss et al. is an example of the somewhat contentious approach of using extrapolations to obtain large-scale estimates from small-scale studies. We review the approach by Loss et al. and other authors who have published papers on human-induced avian mortality and describe the drawbacks and advantages to publishing what could be considered imperfect science. The main drawback is the inherent and somewhat unquantifiable bias of using small-scale studies to scale up to a national estimate. The direct benefits include development of new methodologies for creating the estimates, an explicit treatment of known biases with acknowledged uncertainty in the final estimate, and the novel results. Other overarching benefits are that these types of papers are catalysts for improving all aspects of the science of estimates and for policies that must respond to the new information.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-13-134.1","usgsCitation":"Machtans, C.S., and Thogmartin, W.E., 2014, Understanding the value of imperfect science from national estimates of bird mortality from window collisions: Condor, v. 116, no. 1, p. 3-7, https://doi.org/10.1650/CONDOR-13-134.1.","productDescription":"5 p.","startPage":"3","endPage":"7","ipdsId":"IP-052841","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":473285,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-13-134.1","text":"Publisher Index Page"},{"id":351292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e7ce4b00f54eb229360","contributors":{"authors":[{"text":"Machtans, Craig S.","contributorId":202180,"corporation":false,"usgs":false,"family":"Machtans","given":"Craig","email":"","middleInitial":"S.","affiliations":[{"id":36360,"text":"Environment Canada, Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":727762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":727761,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70142505,"text":"70142505 - 2014 - Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin","interactions":[],"lastModifiedDate":"2017-05-31T16:21:20","indexId":"70142505","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1718,"text":"GCB Bioenergy","active":true,"publicationSubtype":{"id":10}},"title":"Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin","docAbstract":"This study projects future (e.g., 2050 and 2099) grassland productivities in the Greater Platte River Basin (GPRB) using ecosystem performance (EP, a surrogate for measuring ecosystem productivity) models and future climate projections. The EP models developed from a previous study were based on the satellite vegetation index, site geophysical and biophysical features, and weather and climate drivers. The future climate data used in this study were derived from the National Center for Atmospheric Research Community Climate System Model 3.0 ‘SRES A1B’ (a ‘middle’ emissions path). The main objective of this study is to assess the future sustainability of the potential biofuel feedstock areas identified in a previous study. Results show that the potential biofuel feedstock areas (the more mesic eastern part of the GPRB) will remain productive (i.e., aboveground grassland biomass productivity >2750 kg ha−1 year−1) with a slight increasing trend in the future. The spatially averaged EPs for these areas are 3519, 3432, 3557, 3605, 3752, and 3583 kg ha−1 year−1 for current site potential (2000–2008 average), 2020, 2030, 2040, 2050, and 2099, respectively. Therefore, the identified potential biofuel feedstock areas will likely continue to be sustainable for future biofuel development. On the other hand, grasslands identified as having no biofuel potential in the drier western part of the GPRB would be expected to stay unproductive in the future (spatially averaged EPs are 1822, 1691, 1896, 2306, 1994, and 2169 kg ha−1 year−1 for site potential, 2020, 2030, 2040, 2050, and 2099). These areas should continue to be unsuitable for biofuel feedstock development in the future. These future grassland productivity estimation maps can help land managers to understand and adapt to the expected changes in future EP in the GPRB and to assess the future sustainability and feasibility of potential biofuel feedstock areas.
","language":"English","publisher":"WIley","doi":"10.1111/gcbb.12059","usgsCitation":"Gu, Y., Wylie, B.K., Boyte, S.P., and Phuyal, K.P., 2014, Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin: GCB Bioenergy, v. 6, no. 1, p. 35-43, https://doi.org/10.1111/gcbb.12059.","productDescription":"9 p.","startPage":"35","endPage":"43","ipdsId":"IP-041312","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcbb.12059","text":"Publisher Index Page"},{"id":341965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-17","publicationStatus":"PW","scienceBaseUri":"54faddbbe4b02419550db6df","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":541945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":541944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyte, Stephen P. 0000-0002-5462-3225 sboyte@usgs.gov","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":139238,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen","email":"sboyte@usgs.gov","middleInitial":"P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":541943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phuyal, Khem P.","contributorId":28517,"corporation":false,"usgs":true,"family":"Phuyal","given":"Khem","email":"","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541946,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156788,"text":"70156788 - 2014 - Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene","interactions":[],"lastModifiedDate":"2018-02-20T13:39:35","indexId":"70156788","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":62,"text":"Proceedings","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-P-71","title":"Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene","docAbstract":"No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Forest conservation and management in the Anthropocene: Conference proceedings","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Department of Agriculture: Rocky Mountain Research Station","usgsCitation":"Allen, C.D., 2014, Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene: Proceedings RMRS-P-71, 20 p.","productDescription":"20 p.","startPage":"103","endPage":"122","ipdsId":"IP-058454","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350429,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/46127"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeee23e4b0da30c1bfc760","contributors":{"editors":[{"text":"Sample, V. Alaric","contributorId":33637,"corporation":false,"usgs":false,"family":"Sample","given":"V.","email":"","middleInitial":"Alaric","affiliations":[{"id":35996,"text":"Pinchot Institute for Conservation, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":725488,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bixler, R. Patrick","contributorId":98327,"corporation":false,"usgs":false,"family":"Bixler","given":"R.","email":"","middleInitial":"Patrick","affiliations":[{"id":35996,"text":"Pinchot Institute for Conservation, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":725489,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":570547,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70141751,"text":"70141751 - 2014 - Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","interactions":[],"lastModifiedDate":"2015-03-06T10:12:29","indexId":"70141751","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","docAbstract":"Examination of key outcrops in the eastern Blue Ridge in southern Virginia and northwestern North Carolina is used to evaluate existing stratigraphic and structural models. Recent detailed mapping along the Blue Ridge Parkway and the eastern flank of the Mount Rogers massif provides the opportunity to (1) evaluate legacy data and interpretations and (2) formulate new ideas for regional correlation of eastern Blue Ridge geology.
\nLynchburg Group rocks in central Virginia (metagraywacke, quartzite, graphitic schist, amphibolite, and ultramafic rocks) carry southward along strike where they transition with other units. Wills Ridge Formation consists of graphitic schist, metagraywacke, and metaconglomerate, and marks the western boundary of the eastern Blue Ridge. The Ashe Formation consists of conglomeratic metagraywacke in southern Virginia, and mica gneiss, mica schist, and ultramafic rocks in North Carolina. The overlying Alligator Back Formation shows characteristic compositional pin-striped layers in mica gneiss, schist, and amphibolite.
\nThe contact between eastern Blue Ridge stratified rocks above Mesoproterozoic basement rocks is mostly faulted (Gossan Lead and Red Valley). The Callaway fault juxtaposes Ashe and Lynchburg rocks above Wills Ridge Formation. Alligator Back Formation rocks overlie Ashe and Lynchburg rocks along the Rock Castle Creek fault, which juxtaposes rocks of different metamorphism. The fault separates major structural domains: rocks with one penetrative foliation in the footwall, and pin-striped recrystallized compositional layering, superposed penetrative foliations, and cleavage characterize the hanging wall. These relationships are ambiguous along strike to the southwest, where the Ashe and Alligator Back formations are recrystallized at higher metamorphic grades.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2014.0035(07)","usgsCitation":"Carter, M.W., and Merschat, A.J., 2014, Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping: GSA Field Guides, v. 35, p. 215-241, https://doi.org/10.1130/2014.0035(07).","productDescription":"27 p.","startPage":"215","endPage":"241","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054099","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":298319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.4581298828125,\n 36.45000844447082\n ],\n [\n -81.4581298828125,\n 37.13842453422676\n ],\n [\n -80.08209228515625,\n 37.13842453422676\n ],\n [\n -80.08209228515625,\n 36.45000844447082\n ],\n [\n -81.4581298828125,\n 36.45000844447082\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-01","publicationStatus":"PW","scienceBaseUri":"54faddbce4b02419550db6e2","contributors":{"authors":[{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":540998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":540999,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70160601,"text":"70160601 - 2014 - Two approaches for incorporating climate change into natural resource management planning at Wind Cave National Park","interactions":[],"lastModifiedDate":"2016-09-07T13:30:59","indexId":"70160601","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"NPS/WICA/NRTR—2014/918","title":"Two approaches for incorporating climate change into natural resource management planning at Wind Cave National Park","docAbstract":"Wind Cave National Park (WICA) protects one of the world’s longest caves, has large amounts of high quality, native vegetation, and hosts a genetically important bison herd. The park’s relatively small size and unique purpose within its landscape requires hands-on management of these and other natural resources, all of which are interconnected. Anthropogenic climate change presents an added challenge to WICA natural resource management because it is characterized by large uncertainties, many of which are beyond the control of park and National Park Service (NPS) staff. When uncertainty is high and control of this uncertainty low, scenario planning is an appropriate tool for determining future actions. In 2009, members of the NPS obtained formal training in the use of scenario planning in order to evaluate it as a tool for incorporating climate change into NPS natural resource management planning. WICA served as one of two case studies used in this training exercise. Although participants in the training exercise agreed that the scenario planning process showed promise for its intended purpose, they were concerned that the process lacked the scientific rigor necessary to defend the management implications derived from it in the face of public scrutiny. This report addresses this concern and others by (1) providing a thorough description of the process of the 2009 scenario planning exercise, as well as its results and management implications for WICA; (2) presenting the results of a follow-up, scientific study that quantitatively simulated responses of WICA’s hydrological and ecological systems to specific climate projections; (3) placing these climate projections and the general climate scenarios used in the scenario planning exercise in the broader context of available climate projections; and (4) comparing the natural resource management implications derived from the two approaches. Wind Cave National Park (WICA) protects one of the world’s longest caves, has large amounts of high quality, native vegetation, and hosts a genetically important bison herd. The park’s relatively small size and unique purpose within its landscape requires hands-on management of these and other natural resources, all of which are interconnected. Anthropogenic climate change presents an added challenge to WICA natural resource management because it is characterized by large uncertainties, many of which are beyond the control of park and National Park Service (NPS) staff. When uncertainty is high and control of this uncertainty low, scenario planning is an appropriate tool for determining future actions. In 2009, members of the NPS obtained formal training in the use of scenario planning in order to evaluate it as a tool for incorporating climate change into NPS natural resource management planning. WICA served as one of two case studies used in this training exercise. Although participants in the training exercise agreed that the scenario planning process showed promise for its intended purpose, they were concerned that the process lacked the scientific rigor necessary to defend the management implications derived from it in the face of public scrutiny. This report addresses this concern and others by (1) providing a thorough description of the process of the 2009 scenario planning exercise, as well as its results and management implications for WICA; (2) presenting the results of a follow-up, scientific study that quantitatively simulated responses of WICA’s hydrological and ecological systems to specific climate projections; (3) placing these climate projections and the general climate scenarios used in the scenario planning exercise in the broader context of available climate projections; and (4) comparing the natural resource management implications derived from the two approaches.
","language":"English","publisher":"Natural Park Service","usgsCitation":"Symstad, A.J., Long, A.J., Stamm, J., King, D.A., Bachelet, D.M., and Norton, P.A., 2014, Two approaches for incorporating climate change into natural resource management planning at Wind Cave National Park, xii, 87 p. .","productDescription":"xii, 87 p. 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We developed a statistically and biologically defensible multimetric index of fish assemblages for the Caney Fork River below Center Hill Dam, Tennessee. Fish assemblages were sampled at five sites using boat-mounted and backpack electrofishing gear from fall 2009 through summer 2011. A multivariate statistical approach was used to select metrics that best reflected the downstream gradients in abiotic variables. Five metrics derived from boat electrofishing samples and four metrics derived from backpack electrofishing samples were selected for incorporation into the index based on their high correlation with environmental data. The nine metrics demonstrated predictable patterns of increase or decrease with increasing distance downstream of the dam. The multimetric index generally exhibited a pattern of increasing scores with increasing distance from the dam, indicating a downstream recovery gradient in fish assemblage composition. The index can be used to monitor anticipated changes in the fish communities of the Caney Fork River when repairs to Center Hill Dam are completed later this decade, resulting in altered dam operations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2013.866982","usgsCitation":"Ivasauskas, T.J., and Bettoli, P.W., 2014, Development of a multimetric index for fish assemblages in a cold tailwater in Tennessee: Transactions of the American Fisheries Society, v. 143, no. 2, p. 495-507, https://doi.org/10.1080/00028487.2013.866982.","productDescription":"13 p.","startPage":"495","endPage":"507","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049161","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Caney Fork River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 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Atlanta","active":true,"usgs":true}],"preferred":true,"id":546367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70143455,"text":"70143455 - 2014 - An ecological response model for the Cache la Poudre River through Fort Collins","interactions":[],"lastModifiedDate":"2016-07-18T16:19:01","indexId":"70143455","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"An ecological response model for the Cache la Poudre River through Fort Collins","docAbstract":"The Poudre River Ecological Response Model (ERM) is a collaborative effort initiated by the City of Fort Collins and a team of nine river scientists to provide the City with a tool to improve its understanding of the past, present, and likely future conditions of the Cache la Poudre River ecosystem. The overall ecosystem condition is described through the measurement of key ecological indicators such as shape and character of the stream channel and banks, streamside plant communities and floodplain wetlands, aquatic vegetation and insects, and fishes, both coolwater trout and warmwater native species. The 13- mile-long study area of the Poudre River flows through Fort Collins, Colorado, and is located in an ecological transition zone between the upstream, cold-water, steep-gradient system in the Front Range of the Southern Rocky Mountains and the downstream, warm-water, low-gradient reach in the Colorado high plains.
\nThe City wanted to better understand the ecological response of the Poudre River ecosystem to potential changes in stream flow and other physical parameters through the conceptual framework of a multivariable integrated model. This goal was met through the use of a probabilistic model based on Bayesian concepts. This construct allowed the integration of a wide range of data and expert opinion (as informed by local data) to predict potential changes to ecosystem conditions under various flow scenarios. Nine flow scenarios representing past, present, and possible future hydrology were developed as the primary model input. Both reach-scale drivers such as stream channel conditions and pollutant loads, as well as ecological conditions, including species composition, interactions, and habitat requirements influenced model-predicted ecosystem outcomes. Model output consisted of probability distributions for eight ecological indicators collectively representing the physical setting, aquatic life, and riparian habitats of the river ecosystem.
\nWe are confident in model predictions related to probable trends, relative magnitude of changes and potential ecosystem responses to changing flow conditions, though data availability and the process of converting diverse data types into a common unit (probabilities) limit precision of individual results. Key findings suggest that:
\nEnvironmental flows that combine stable and adequate flows in base-flow periods with occasional rejuvenating high flows that meet target levels defined in this study are likely improve all biological indicators across the system. ERM test scenarios that include both stable base flows and rejuvenating high flows indicate that substantial improvements in the river ecosystem can be achieved with improved management of flow volumes similar to those observed in the river during the last half century of intensive water development. These results underscore the possibility of improving the river ecosystem through active management while still maintaining the Poudre’s diverse economic benefits and role as a working river.
\nThe ERM was designed to represent the multi-dimensional ecological character of the contemporary urban Poudre River. It provides a scientific foundation that can serve as a decision support tool and foster a more informed community discussion about the future of the river as it provides a better understanding of the likely response of the Poudre River ecosystem to environmental flow management and other stewardship activities. In particular, model results can assist managers in developing specific management actions to achieve desirable goals for key indicators of river health.
","language":"English","publisher":"City of Fort Collins Natural Areas Department","publisherLocation":"Fort Collins, CO","usgsCitation":"Shanahan, J., Baker, D., Bledsoe, B.P., Poff, L., Merritt, D.M., Bestgen, K.R., Auble, G.T., Kondratieff, B.C., Stokes, J., Lorie, M., and Sanderson, J., 2014, An ecological response model for the Cache la Poudre River through Fort Collins, xv, 95 p.","productDescription":"xv, 95 p.","numberOfPages":"112","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056554","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298735,"type":{"id":15,"text":"Index Page"},"url":"https://www.fcgov.com/naturalareas/eco-response.php"}],"country":"United States","state":"Colorado","otherGeospatial":"Cache la Poudre River Watershed, Poudre River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.15426635742188,\n 40.49395938772784\n ],\n [\n -105.15426635742188,\n 40.63896734381723\n ],\n [\n -104.9798583984375,\n 40.63896734381723\n ],\n [\n -104.9798583984375,\n 40.49395938772784\n ],\n [\n -105.15426635742188,\n 40.49395938772784\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578dfdaee4b0f1bea0e0f816","contributors":{"authors":[{"text":"Shanahan, Jennifer","contributorId":172960,"corporation":false,"usgs":false,"family":"Shanahan","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":642787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Daniel","contributorId":172961,"corporation":false,"usgs":false,"family":"Baker","given":"Daniel","affiliations":[],"preferred":false,"id":642788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bledsoe, Brian P.","contributorId":140605,"corporation":false,"usgs":false,"family":"Bledsoe","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":13538,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":642789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poff, LeRoy","contributorId":172962,"corporation":false,"usgs":false,"family":"Poff","given":"LeRoy","email":"","affiliations":[],"preferred":false,"id":642790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merritt, David M.","contributorId":95976,"corporation":false,"usgs":true,"family":"Merritt","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":642791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bestgen, Kevin R. 0000-0001-8691-2227","orcid":"https://orcid.org/0000-0001-8691-2227","contributorId":171573,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":642792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Auble, Gregor T. 0000-0002-0843-2751 aubleg@usgs.gov","orcid":"https://orcid.org/0000-0002-0843-2751","contributorId":2187,"corporation":false,"usgs":true,"family":"Auble","given":"Gregor","email":"aubleg@usgs.gov","middleInitial":"T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":542726,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kondratieff, Boris C.","contributorId":24868,"corporation":false,"usgs":false,"family":"Kondratieff","given":"Boris","email":"","middleInitial":"C.","affiliations":[{"id":17860,"text":"Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":642793,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stokes, John","contributorId":172963,"corporation":false,"usgs":false,"family":"Stokes","given":"John","email":"","affiliations":[],"preferred":false,"id":642794,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lorie, Mark","contributorId":172964,"corporation":false,"usgs":false,"family":"Lorie","given":"Mark","email":"","affiliations":[],"preferred":false,"id":642795,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sanderson, John","contributorId":172965,"corporation":false,"usgs":false,"family":"Sanderson","given":"John","affiliations":[],"preferred":false,"id":642796,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70192503,"text":"70192503 - 2014 - Fertilizer consumption and energy input for 16 crops in the United States","interactions":[],"lastModifiedDate":"2018-02-15T14:29:57","indexId":"70192503","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Fertilizer consumption and energy input for 16 crops in the United States","docAbstract":"Fertilizer use by U.S. agriculture has increased over the past few decades. The production and transportation of fertilizers (nitrogen, N; phosphorus, P; potassium, K) are energy intensive. In general, about a third of the total energy input to crop production goes to the production of fertilizers, one-third to mechanization, and one-third to other inputs including labor, transportation, pesticides, and electricity. For some crops, fertilizer is the largest proportion of total energy inputs. Energy required for the production and transportation of fertilizers, as a percentage of total energy input, was determined for 16 crops in the U.S. to be: 19–60% for seven grains, 10–41% for two oilseeds, 25% for potatoes, 12–30% for three vegetables, 2–23% for two fruits, and 3% for dry beans. The harvested-area weighted-average of the fraction of crop fertilizer energy to the total input energy was 28%. The current sources of fertilizers for U.S. agriculture are dependent on imports, availability of natural gas, or limited mineral resources. Given these dependencies plus the high energy costs for fertilizers, an integrated approach for their efficient and sustainable use is needed that will simultaneously maintain or increase crop yields and food quality while decreasing adverse impacts on the environment.","language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9226-4","usgsCitation":"Amenumey, S.E., and Capel, P.D., 2014, Fertilizer consumption and energy input for 16 crops in the United States: Natural Resources Research, v. 23, no. 3, p. 299-309, https://doi.org/10.1007/s11053-013-9226-4.","productDescription":"11 p.","startPage":"299","endPage":"309","ipdsId":"IP-052309","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":347440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"23","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-24","publicationStatus":"PW","scienceBaseUri":"5a07ed4ee4b09af898c8cd50","contributors":{"authors":[{"text":"Amenumey, Sheila E.","contributorId":192282,"corporation":false,"usgs":false,"family":"Amenumey","given":"Sheila","email":"","middleInitial":"E.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":716085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193626,"text":"70193626 - 2014 - Tsunami-generated sediment wave channels at Lake Tahoe, California-Nevada, USA","interactions":[],"lastModifiedDate":"2017-11-02T15:00:59","indexId":"70193626","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Tsunami-generated sediment wave channels at Lake Tahoe, California-Nevada, USA","docAbstract":"A gigantic ∼12 km3 landslide detached from the west wall of Lake Tahoe (California-Nevada, USA), and slid 15 km east across the lake. The splash, or tsunami, from this landslide eroded Tioga-age moraines dated as 21 ka. Lake-bottom short piston cores recovered sediment as old as 12 ka that did not reach landslide deposits, thereby constraining the landslide age as 21–12 ka.
Movement of the landslide splashed copious water onto the countryside and lowered the lake level ∼10 m. The sheets of water that washed back into the lake dumped their sediment load at the lowered shoreline, producing deltas that merged into delta terraces. During rapid growth, these unstable delta terraces collapsed, disaggregated, and fed turbidity currents that generated 15 subaqueous sediment wave channel systems that ring the lake and descend to the lake floor at 500 m depth. Sheets of water commonly more than 2 km wide at the shoreline fed these systems. Channels of the systems contain sediment waves (giant ripple marks) with maximum wavelengths of 400 m. The lower depositional aprons of the system are surfaced by sediment waves with maximum wavelengths of 300 m.
A remarkably similar, though smaller, contemporary sediment wave channel system operates at the mouth of the Squamish River in British Columbia. The system is generated by turbidity currents that are fed by repeated growth and collapse of the active river delta. The Tahoe splash-induced backwash was briefly equivalent to more than 15 Squamish Rivers in full flood and would have decimated life in low-lying areas of the Tahoe region.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01025.1","usgsCitation":"Moore, J.G., Schweickert, R.A., and Kitts, C.A., 2014, Tsunami-generated sediment wave channels at Lake Tahoe, California-Nevada, USA: Geosphere, v. 10, no. 4, p. 757-768, https://doi.org/10.1130/GES01025.1.","productDescription":"12 p.","startPage":"757","endPage":"768","ipdsId":"IP-053463","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01025.1","text":"Publisher Index Page"},{"id":348118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.1739501953125,\n 38.92416066460569\n ],\n [\n -119.91577148437499,\n 38.92416066460569\n ],\n [\n -119.91577148437499,\n 39.25671479372372\n ],\n [\n -120.1739501953125,\n 39.25671479372372\n ],\n [\n -120.1739501953125,\n 38.92416066460569\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eace4b0531197b27fb6","contributors":{"authors":[{"text":"Moore, James G. 0000-0002-7543-2401 jmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-7543-2401","contributorId":2892,"corporation":false,"usgs":true,"family":"Moore","given":"James","email":"jmoore@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":719664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schweickert, Richard A.","contributorId":60107,"corporation":false,"usgs":true,"family":"Schweickert","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":719930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kitts, Christopher A.","contributorId":77345,"corporation":false,"usgs":true,"family":"Kitts","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":719931,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}