Increased stream temperatures due to global climate change, livestock grazing, removal of riparian cover, reduction of stream flow, and urbanization will have important implications for fishes worldwide. Information exists that describes the effects of elevated water temperatures on fish eggs, but less information is available on the effects of fluctuating water temperatures on egg survival, especially those of threatened and endangered species. We tested the posthatch survival of eyed eggs and alevins of Apache Trout Oncorhynchus gilae apache, a threatened salmonid, in static temperatures of 15, 18, 21, 24, and 27°C, and also in treatments with diel fluctuations of ±3°C around those temperatures. The LT50 for posthatch survival of Apache Trout eyed eggs and alevins was 17.1°C for static temperatures treatments and 17.9°C for the midpoints of ±3°C fluctuating temperature treatments. There was no significant difference in survival between static temperatures and fluctuating temperatures that shared the same mean temperature, yet there was a slight difference in LT50s. Upper thermal tolerance of Apache Trout eyed eggs and alevins is much lower than that of fry to adult life stages (22–23°C). Information on thermal tolerance of early life stages (eyed egg and alevin) will be valuable to those restoring streams or investigating thermal tolerances of imperiled fishes.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.741551","usgsCitation":"Recsetar, M.S., and Bonar, S.A., 2013, Survival of Apache Trout eggs and alevins under static and fluctuating temperature regimes: Transactions of the American Fisheries Society, v. 142, no. 2, p. 373-379, https://doi.org/10.1080/00028487.2012.741551.","productDescription":"7 p.","startPage":"373","endPage":"379","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038268","costCenters":[],"links":[{"id":279100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279099,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.741551"}],"volume":"142","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-23","publicationStatus":"PW","scienceBaseUri":"5287509de4b03b89f6f155d6","contributors":{"authors":[{"text":"Recsetar, Matthew S.","contributorId":67395,"corporation":false,"usgs":true,"family":"Recsetar","given":"Matthew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":465084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":465083,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70124603,"text":"70124603 - 2013 - Flying with the wind: Scale dependency of speed and direction measurements in modelling wind support in avian flight","interactions":[],"lastModifiedDate":"2017-08-30T10:29:43","indexId":"70124603","displayToPublicDate":"2013-01-01T09:38:23","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Flying with the wind: Scale dependency of speed and direction measurements in modelling wind support in avian flight","docAbstract":"Background: Understanding how environmental conditions, especially wind, influence birds' flight speeds is a prerequisite for understanding many important aspects of bird flight, including optimal migration strategies, navigation, and compensation for wind drift. Recent developments in tracking technology and the increased availability of data on large-scale weather patterns have made it possible to use path annotation to link the location of animals to environmental conditions such as wind speed and direction. However, there are various measures available for describing not only wind conditions but also the bird's flight direction and ground speed, and it is unclear which is best for determining the amount of wind support (the length of the wind vector in a bird’s flight direction) and the influence of cross-winds (the length of the wind vector perpendicular to a bird’s direction) throughout a bird's journey.
Results: We compared relationships between cross-wind, wind support and bird movements, using path annotation derived from two different global weather reanalysis datasets and three different measures of direction and speed calculation for 288 individuals of nine bird species. Wind was a strong predictor of bird ground speed, explaining 10-66% of the variance, depending on species. Models using data from different weather sources gave qualitatively similar results; however, determining flight direction and speed from successive locations, even at short (15 min intervals), was inferior to using instantaneous GPS-based measures of speed and direction. Use of successive location data significantly underestimated the birds' ground and airspeed, and also resulted in mistaken associations between cross-winds, wind support, and their interactive effects, in relation to the birds' onward flight.
Conclusions: Wind has strong effects on bird flight, and combining GPS technology with path annotation of weather variables allows us to quantify these effects for understanding flight behaviour. The potentially strong influence of scaling effects must be considered and implemented in developing sampling regimes and data analysis.
","language":"English","publisher":"BioMed Central","doi":"10.1186/2051-3933-1-4","usgsCitation":"Safi, K., Kranstauber, B., Weinzierl, R.P., Griffin, L., Reese, E.C., Cabot, D., Cruz, S., Proaño, C., Takekawa, J.Y., Newman, S.H., Waldenstrom, J., Bengtsson, D., Kays, R., Wikelski, M., and Bohrer, G., 2013, Flying with the wind: Scale dependency of speed and direction measurements in modelling wind support in avian flight: Movement Ecology, v. 1, no. 4, 13 p., https://doi.org/10.1186/2051-3933-1-4.","productDescription":"13 p.","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-046325","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474015,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2051-3933-1-4","text":"Publisher Index Page"},{"id":293800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"54140b1fe4b082fed288b912","contributors":{"authors":[{"text":"Safi, Kamran","contributorId":83036,"corporation":false,"usgs":true,"family":"Safi","given":"Kamran","affiliations":[],"preferred":false,"id":519464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranstauber, Bart","contributorId":66610,"corporation":false,"usgs":true,"family":"Kranstauber","given":"Bart","affiliations":[],"preferred":false,"id":519461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weinzierl, Rolf P.","contributorId":74687,"corporation":false,"usgs":true,"family":"Weinzierl","given":"Rolf","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":519462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Larry","contributorId":108038,"corporation":false,"usgs":true,"family":"Griffin","given":"Larry","email":"","affiliations":[],"preferred":false,"id":519467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reese, Eileen C.","contributorId":30157,"corporation":false,"usgs":true,"family":"Reese","given":"Eileen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":519457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cabot, David","contributorId":13160,"corporation":false,"usgs":true,"family":"Cabot","given":"David","email":"","affiliations":[],"preferred":false,"id":519454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cruz, Sebastian","contributorId":26987,"corporation":false,"usgs":true,"family":"Cruz","given":"Sebastian","affiliations":[],"preferred":false,"id":519455,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Proaño, Carolina","contributorId":28180,"corporation":false,"usgs":true,"family":"Proaño","given":"Carolina","affiliations":[],"preferred":false,"id":519456,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":519453,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":519466,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Waldenstrom, Jonas","contributorId":42891,"corporation":false,"usgs":true,"family":"Waldenstrom","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":519458,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bengtsson, Daniel","contributorId":56168,"corporation":false,"usgs":true,"family":"Bengtsson","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":519459,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kays, Roland","contributorId":83815,"corporation":false,"usgs":true,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":519465,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":519463,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bohrer, Gil","contributorId":66569,"corporation":false,"usgs":true,"family":"Bohrer","given":"Gil","affiliations":[],"preferred":false,"id":519460,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70118248,"text":"70118248 - 2013 - Permafrost and organic layer interactions over a climate gradient in a discontinuous permafrost zone","interactions":[],"lastModifiedDate":"2018-03-29T14:00:29","indexId":"70118248","displayToPublicDate":"2013-01-01T09:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Permafrost and organic layer interactions over a climate gradient in a discontinuous permafrost zone","docAbstract":"Permafrost is tightly coupled to the organic soil layer, an interaction that mediates permafrost degradation in response to regional warming. We analyzed changes in permafrost occurrence and organic layer thickness (OLT) using more than 3000 soil pedons across a mean annual temperature (MAT) gradient. Cause and effect relationships between permafrost probability (PF), OLT, and other topographic factors were investigated using structural equation modeling in a multi-group analysis. Groups were defined by slope, soil texture type, and shallow (<28 cm) versus deep organic (≥28 cm) layers. The probability of observing permafrost sharply increased by 0.32 for every 10-cm OLT increase in shallow OLT soils (OLTs) due to an insulation effect, but PF decreased in deep OLT soils (OLTd) by 0.06 for every 10-cm increase. Across the MAT gradient, PF in sandy soils varied little, but PF in loamy and silty soils decreased substantially from cooler to warmer temperatures. The change in OLT was more heterogeneous across soil texture types—in some there was no change while in others OLTs soils thinned and/or OLTd soils thickened at warmer locations. Furthermore, when soil organic carbon was estimated using a relationship with thickness, the average increase in carbon in OLTd soils was almost four times greater compared to the average decrease in carbon in OLTs soils across all soil types. If soils follow a trajectory of warming that mimics the spatial gradients found today, then heterogeneities of permafrost degradation and organic layer thinning and thickening should be considered in the regional carbon balance.
","language":"English","publisher":"Institute of Physics Publishing","publisherLocation":"London, England","doi":"10.1088/1748-9326/8/3/035028","usgsCitation":"Johnson, K.D., Harden, J.W., McGuire, A., Clark, M., Yuan, F., and Finley, A., 2013, Permafrost and organic layer interactions over a climate gradient in a discontinuous permafrost zone: Environmental Research Letters, v. 8, no. 3, 12 p., https://doi.org/10.1088/1748-9326/8/3/035028.","productDescription":"12 p.","ipdsId":"IP-049439","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/3/035028","text":"Publisher Index Page"},{"id":291095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-08-13","publicationStatus":"PW","scienceBaseUri":"57f7f38ee4b0bc0bec0a0a4a","contributors":{"authors":[{"text":"Johnson, Kristofer D.","contributorId":81027,"corporation":false,"usgs":true,"family":"Johnson","given":"Kristofer","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":496573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":496569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":496570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Mark","contributorId":25879,"corporation":false,"usgs":true,"family":"Clark","given":"Mark","affiliations":[],"preferred":false,"id":496571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yuan, Fengming","contributorId":81819,"corporation":false,"usgs":true,"family":"Yuan","given":"Fengming","email":"","affiliations":[],"preferred":false,"id":496574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finley, Andrew O.","contributorId":70666,"corporation":false,"usgs":true,"family":"Finley","given":"Andrew O.","affiliations":[],"preferred":false,"id":496572,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70111754,"text":"70111754 - 2013 - Invasive species management restores a plant-pollinator mutualism in Hawaii","interactions":[],"lastModifiedDate":"2018-01-02T12:22:04","indexId":"70111754","displayToPublicDate":"2013-01-01T09:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Invasive species management restores a plant-pollinator mutualism in Hawaii","docAbstract":"1.The management and removal of invasive species may give rise to unanticipated changes in plant–pollinator mutualisms because they can alter the composition and functioning of plant–pollinator interactions in a variety of ways. To utilize a functional approach for invasive species management, we examined the restoration of plant–pollinator mutualisms following the large-scale removal of an invasive nectar thief and arthropod predator, Vespula pensylvanica.
\n2.We reduced V. pensylvanica populations in large plots managed over multiple years to examine the response of plant–pollinator mutualisms and the fruit production of a functionally important endemic Hawaiian tree species, Metrosideros polymorpha. To integrate knowledge of the invader's behaviour and the plant's mating system, we determined the efficacy of V. pensylvanica as a pollinator of M. polymorpha and quantified the dependence of M. polymorpha on animal pollination (e.g. level of self-compatibility and pollen limitation).
\n3.The reduction of V. pensylvanica in managed sites, when compared to unmanaged sites, resulted in a significant increase in the visitation rates of effective bee pollinators (e.g. introduced Apis mellifera and native Hylaeus spp.) and in the fruit production of M. polymorpha.
\n4.Apis mellifera, following the management of V. pensylvanica, appears to be acting as a substitute pollinator for M. polymorpha, replacing extinct or threatened bird and bee species in our study system.
\n5.Synthesis and applications. Fruit production of the native M. polymorpha was increased after management of the invasive pollinator predator V. pensylvanica; however, the main pollinators were no longer native but introduced. This research thus demonstrates the diverse impacts of introduced species on ecological function and the ambiguous role they play in restoration. We recommend incorporating ecological function and context into invasive species management as this approach may enable conservation managers to simultaneously minimize the negative and maximize the positive impacts (e.g. taxon substitution) of introduced species. Such novel restoration approaches are needed, especially in highly degraded ecosystems.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12027","usgsCitation":"Hanna, C., Foote, D., and Kremen, C., 2013, Invasive species management restores a plant-pollinator mutualism in Hawaii: Journal of Applied Ecology, v. 50, no. 1, p. 147-155, https://doi.org/10.1111/1365-2664.12027.","productDescription":"9 p.","startPage":"147","endPage":"155","ipdsId":"IP-052203","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":474017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12027","text":"Publisher Index Page"},{"id":288170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288162,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2664.12027"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hawai`i Volcanoes National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.798371,19.058221 ], [ -155.798371,19.547589 ], [ -155.016307,19.547589 ], [ -155.016307,19.058221 ], [ -155.798371,19.058221 ] ] ] } } ] }","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-12-21","publicationStatus":"PW","scienceBaseUri":"5396d772e4b0f7580bc0a91c","contributors":{"authors":[{"text":"Hanna, Cause","contributorId":69035,"corporation":false,"usgs":false,"family":"Hanna","given":"Cause","affiliations":[{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":494466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foote, David dfoote@usgs.gov","contributorId":375,"corporation":false,"usgs":true,"family":"Foote","given":"David","email":"dfoote@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":494464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kremen, Claire","contributorId":15912,"corporation":false,"usgs":true,"family":"Kremen","given":"Claire","email":"","affiliations":[],"preferred":false,"id":494465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048567,"text":"70048567 - 2013 - Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States","interactions":[],"lastModifiedDate":"2013-10-24T09:35:11","indexId":"70048567","displayToPublicDate":"2013-01-01T09:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States","docAbstract":"Mercury (Hg) is a toxic metal that is found in aquatic food webs and is hazardous to human and wildlife health. We examined the relationship between Hg deposition, land coverage by coniferous and deciduous forests, and average Hg concentrations in largemouth bass (Micropterus salmoides)-equivalent fish (LMBE) in 14 ecoregions located within all or part of six states in the South Central U.S. In 11 ecoregions, the average Hg concentrations in 35.6-cm total length LMBE were above 300 ng/g, the threshold concentration of Hg recommended by the U.S. Environmental Protection Agency for the issuance of fish consumption advisories. Percent land coverage by coniferous forests within ecoregions had a significant linear relationship with average Hg concentrations in LMBE while percent land coverage by deciduous forests did not. Eighty percent of the variance in average Hg concentrations in LMBE between ecoregions could be accounted for by estimated Hg deposition after adjusting for the effects of coniferous forests. Here we show for the first time that fish from ecoregions with high atmospheric Hg pollution and coniferous forest coverage pose a significant hazard to human health. Our study suggests that models that use Hg deposition to predict Hg concentrations in fish could be improved by including the effects of coniferous forests on Hg deposition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es303734n","usgsCitation":"Drenner, R.W., Chumchal, M.M., Jones, C.M., Lehmann, C.M., Gay, D., and Donato, D.I., 2013, Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States: Environmental Science & Technology, v. 47, no. 3, p. 1274-1279, https://doi.org/10.1021/es303734n.","productDescription":"6 p.","startPage":"1274","endPage":"1279","numberOfPages":"6","ipdsId":"IP-040449","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":278352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278351,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es303734n"}],"country":"United States","state":"Arkansas;Louisiana;Mississippi;Oklahoma;Tennessee;Texas","otherGeospatial":"Arkansas Valley;Boston Mountains;Central Great Plainsl Cross Timbers;East Central Texas Plains;Mississippi Alluvial Plain;Mississippi Valley Loess Plains;Ozark Highlands;Ouachita Mountains;South Central Plains;Southeastern Plains;Southern Coastal Plain;Texas Blackland Prairies;Western Gulf Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.8,25.84 ], [ -100.8,36.96 ], [ -86.92,36.96 ], [ -86.92,25.84 ], [ -100.8,25.84 ] ] ] } } ] }","volume":"47","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526a416fe4b0c0d229f9f66e","contributors":{"authors":[{"text":"Drenner, Ray W.","contributorId":46407,"corporation":false,"usgs":true,"family":"Drenner","given":"Ray","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":485100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chumchal, Matthew M.","contributorId":84659,"corporation":false,"usgs":true,"family":"Chumchal","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Christina M.","contributorId":104389,"corporation":false,"usgs":true,"family":"Jones","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehmann, Christopher M.B.","contributorId":84859,"corporation":false,"usgs":true,"family":"Lehmann","given":"Christopher","email":"","middleInitial":"M.B.","affiliations":[],"preferred":false,"id":485103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gay, David A.","contributorId":68022,"corporation":false,"usgs":true,"family":"Gay","given":"David A.","affiliations":[],"preferred":false,"id":485101,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Donato, David I. 0000-0002-5412-0249 didonato@usgs.gov","orcid":"https://orcid.org/0000-0002-5412-0249","contributorId":2234,"corporation":false,"usgs":true,"family":"Donato","given":"David","email":"didonato@usgs.gov","middleInitial":"I.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":485099,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70095678,"text":"70095678 - 2013 - The magnetic tides of Honolulu","interactions":[],"lastModifiedDate":"2014-03-10T09:26:40","indexId":"70095678","displayToPublicDate":"2013-01-01T09:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"The magnetic tides of Honolulu","docAbstract":"We review the phenomenon of time-stationary, periodic quiet-time geomagnetic tides. These are generated by the ionospheric and oceanic dynamos, and, to a lesser-extent, by the quiet-time magnetosphere, and they are affected by currents induced in the Earth's electrically conducting interior. We examine historical time series of hourly magnetic-vector measurements made at the Honolulu observatory. We construct high-resolution, frequency-domain Lomb-periodogram and maximum-entropy power spectra that reveal a panorama of stationary harmonics across periods from 0.1 to 10000.0-d, including harmonics that result from amplitude and phase modulation. We identify solar-diurnal tides and their annual and solar-cycle sideband modulations, lunar semi-diurnal tides and their solar-diurnal sidebands, and tides due to precession of lunar eccentricity and nodes. We provide evidence that a method intended for separating the ionospheric and oceanic dynamo signals by midnight subsampling of observatory data time series is prone to frequency-domain aliasing. The tidal signals we summarize in this review can be used to test our fundamental understanding of the dynamics of the quiet-time ionosphere and magnetosphere, induction in the ocean and in the electrically conducting interior of the Earth, and they are useful for defining a quiet-time baseline against which magnetospheric-storm intensity is measured.","largerWorkTitle":"Progress in EM Induction Studies of Crust and Mantle From Land, Sea, Air, and Space lll Posters","language":"English","publisher":"American Geophysical Union","usgsCitation":"Love, J.J., and Rigler, E.J., 2013, The magnetic tides of Honolulu, in Progress in EM Induction Studies of Crust and Mantle From Land, Sea, Air, and Space lll Posters.","ipdsId":"IP-055292","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":283503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283502,"type":{"id":1,"text":"Abstract"},"url":"https://abstractsearch.agu.org/meetings/2013/FM/sections/GP/sessions/GP23A/abstracts/GP23A-0983.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7830e4b0b2908510bfb4","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":491338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigler, Erin Joshua","contributorId":85502,"corporation":false,"usgs":true,"family":"Rigler","given":"Erin","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":491339,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70117450,"text":"70117450 - 2013 - Eocene extension in Idaho generated massive sediment floods into Franciscan trench and into Tyee, Great Valley, and Green River basins","interactions":[],"lastModifiedDate":"2023-06-05T16:17:05.904012","indexId":"70117450","displayToPublicDate":"2013-01-01T09:11:12","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Eocene extension in Idaho generated massive sediment floods into Franciscan trench and into Tyee, Great Valley, and Green River basins","docAbstract":"The Franciscan Complex accretionary prism was assembled during an ∼165-m.y.-long period of subduction of Pacific Ocean plates beneath the western margin of the North American plate. In such fossil subduction complexes, it is generally difficult to reconstruct details of the accretion of continent-derived sediments and to evaluate the factors that controlled accretion. New detrital zircon U-Pb ages indicate that much of the major Coastal belt subunit of the Franciscan Complex represents a massive, relatively brief, surge of near-trench deposition and accretion during Eocene time (ca. 53–49 Ma). Sediments were sourced mainly from the distant Idaho Batholith region rather than the nearby Sierra Nevada. Idaho detritus also fed the Great Valley forearc basin of California (ca. 53–37 Ma), the Tyee forearc basin of coastal Oregon (49 to ca. 36 Ma), and the greater Green River lake basin of Wyoming (50–47 Ma). Plutonism in the Idaho Batholith spanned 98–53 Ma in a contractional setting; it was abruptly superseded by major extension in the Bitterroot, Anaconda, Clearwater, and Priest River metamorphic core complexes (53–40 Ma) and by major volcanism in the Challis volcanic field (51–43 Ma). This extensional tectonism apparently deformed and uplifted a broad region, shedding voluminous sediments toward depocenters to the west and southeast. In the Franciscan Coastal belt, the major increase in sediment input apparently triggered a pulse of massive accretion, a pulse ultimately controlled by continental tectonism far within the interior of the North American plate, rather than by some tectonic event along the plate boundary itself.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G33746.1","usgsCitation":"Dumitru, T.A., Ernst, W., Wright, J.E., Wooden, J., Wells, R., Farmer, L.P., Kent, A., and Graham, S.A., 2013, Eocene extension in Idaho generated massive sediment floods into Franciscan trench and into Tyee, Great Valley, and Green River basins: Geology, v. 41, no. 2, p. 187-190, https://doi.org/10.1130/G33746.1.","productDescription":"4 p.","startPage":"187","endPage":"190","numberOfPages":"4","ipdsId":"IP-042320","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":290655,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Oregon, Wyoming","otherGeospatial":"Great Valley River Basin, Green River Basin, Tyee River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -129.95,36.24 ], [ -129.95,50.0 ], [ -107.84,50.0 ], [ -107.84,36.24 ], [ -129.95,36.24 ] ] ] } } ] }","volume":"41","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f38ee4b0bc0bec0a0a4e","contributors":{"authors":[{"text":"Dumitru, Trevor A.","contributorId":13550,"corporation":false,"usgs":true,"family":"Dumitru","given":"Trevor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ernst, W. G.","contributorId":18456,"corporation":false,"usgs":true,"family":"Ernst","given":"W. G.","affiliations":[],"preferred":false,"id":496006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, James E.","contributorId":105648,"corporation":false,"usgs":true,"family":"Wright","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wooden, Joseph L.","contributorId":32209,"corporation":false,"usgs":true,"family":"Wooden","given":"Joseph L.","affiliations":[],"preferred":false,"id":496007,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wells, Ray E. 0000-0002-7796-0160 rwells@usgs.gov","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":2692,"corporation":false,"usgs":true,"family":"Wells","given":"Ray E.","email":"rwells@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":496003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farmer, Lucia P.","contributorId":7628,"corporation":false,"usgs":true,"family":"Farmer","given":"Lucia","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":496004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kent, Adam J. 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R.","affiliations":[],"preferred":false,"id":496009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Graham, Stephan A.","contributorId":45902,"corporation":false,"usgs":true,"family":"Graham","given":"Stephan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496008,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70128270,"text":"70128270 - 2013 - Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization","interactions":[],"lastModifiedDate":"2014-10-07T08:59:46","indexId":"70128270","displayToPublicDate":"2013-01-01T08:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization","docAbstract":"Organic contaminants and trace elements were measured in bed sediments collected from streams in seven metropolitan study areas across the United States to assess concentrations in relation to urbanization. Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, organochlorine pesticides, the pyrethroid insecticide bifenthrin, and several trace elements were significantly related to urbanization across study areas. Most contaminants (except bifenthrin, chromium, nickel) were significantly related to the total organic carbon (TOC) content of the sediments. Regression models explained 45–80 % of the variability in individual contaminant concentrations using degree of urbanization, sediment-TOC, and study-area indicator variables (which represent the combined influence of unknown factors, such as chemical use or release, that are not captured by available explanatory variables). The significance of one or more study-area indicator variables in all models indicates marked differences in contaminant levels among some study areas, even after accounting for the nationally modeled effects of urbanization and sediment-TOC. Mean probable effect concentration quotients (PECQs) were significantly related to urbanization. Trace elements were the major contributors to mean PECQs at undeveloped sites, whereas organic contaminants, especially bifenthrin, were the major contributors at highly urban sites. Pyrethroids, where detected, accounted for the largest share of the mean PECQ. Part 2 of this series (Kemble et al. 2012) evaluates sediment toxicity to amphipods and midge in relation to sediment chemistry.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Archives of Environmental Contamination and Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/s00244-012-9813-0","usgsCitation":"Nowell, L.H., Moran, P.W., Gilliom, R.J., Calhoun, D.L., Ingersoll, C.G., Kemble, N.E., Kuivila, K., and Phillips, P., 2013, Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization: Archives of Environmental Contamination and Toxicology, v. 64, no. 1, p. 32-51, https://doi.org/10.1007/s00244-012-9813-0.","productDescription":"20 p.","startPage":"32","endPage":"51","numberOfPages":"20","ipdsId":"IP-018523","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":294970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294959,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-012-9813-0"},{"id":294960,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs00244-012-9813-0"}],"volume":"64","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-11-06","publicationStatus":"PW","scienceBaseUri":"543500a1e4b0a4f4b46a2380","contributors":{"authors":[{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":502783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":502789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":502790,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502787,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502786,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70173538,"text":"70173538 - 2013 - Nocturnal activity of nesting shrubland and grassland passerines: Chapter 9","interactions":[],"lastModifiedDate":"2016-06-22T13:58:20","indexId":"70173538","displayToPublicDate":"2013-01-01T05:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"title":"Nocturnal activity of nesting shrubland and grassland passerines: Chapter 9","docAbstract":"Nocturnal activity of nesting passerines is largely undocumented in field situations. We used video recordings to quantify sleep patterns of four shrubland and three grassland bird species during the nestling period. All species exhibited “back sleep” (bill tucked under scapular feathers); individuals woke frequently for vigils of their surroundings. Sleep-bout duration varied from 6 minutes (grasshopper sparrow) to 28 minutes (blue-winged warbler, field sparrow). Duration on nest varied from 6.4 hours (field sparrow) to 8.8 hours (indigo bunting). Adults woke 20–30 minutes before sunrise. First morning absence from the nest was short; nestlings were fed within 12 minutes of a parent’s departure. Further research is needed to understand energetic costs of sleep and behavioral adaptations to environmental pressures.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Video surveillance of nesting birds","language":"English","publisher":"California Scholarship Online","doi":"10.1525/california/9780520273139.003.0009","isbn":"9780520273139","usgsCitation":"Slay, C., Ellison, K.S., Ribic, C., Smith, K.G., and Schmitz, C.M., 2013, Nocturnal activity of nesting shrubland and grassland passerines: Chapter 9, chap. of Video surveillance of nesting birds, p. 105-115, https://doi.org/10.1525/california/9780520273139.003.0009.","productDescription":"11 p.","startPage":"105","endPage":"115","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029766","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","city":"Southbury","otherGeospatial":"Bent of the River Sanctuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.27554702758789,\n 41.450189412149\n ],\n [\n -73.27554702758789,\n 41.472444743545\n ],\n [\n -73.24945449829102,\n 41.472444743545\n ],\n [\n -73.24945449829102,\n 41.450189412149\n ],\n [\n -73.27554702758789,\n 41.450189412149\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576bb6b9e4b07657d1a2291b","contributors":{"authors":[{"text":"Slay, Christy M.","contributorId":172334,"corporation":false,"usgs":false,"family":"Slay","given":"Christy M.","affiliations":[],"preferred":false,"id":640369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Kevin S.","contributorId":35655,"corporation":false,"usgs":true,"family":"Ellison","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":640370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kimberly G.","contributorId":80200,"corporation":false,"usgs":true,"family":"Smith","given":"Kimberly","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":640371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmitz, Carolyn M.","contributorId":172335,"corporation":false,"usgs":false,"family":"Schmitz","given":"Carolyn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640372,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157424,"text":"70157424 - 2013 - Predicting tamarisk current and future distribution","interactions":[],"lastModifiedDate":"2021-10-27T15:31:37.949407","indexId":"70157424","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Predicting tamarisk current and future distribution","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tamarix: A case study of ecological change in the American West","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","publisherLocation":"New York, NY","usgsCitation":"Jarnevich, C., Evangelista, P., and Graham, J., 2013, Predicting tamarisk current and future distribution, chap. of Tamarix: A case study of ecological change in the American West, p. 29-43.","productDescription":"15 p.","startPage":"29","endPage":"43","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033713","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":308411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56027c25e4b03bc34f544871","contributors":{"editors":[{"text":"Sher, Anna","contributorId":112677,"corporation":false,"usgs":true,"family":"Sher","given":"Anna","affiliations":[],"preferred":false,"id":573122,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Quigley, Martin F.","contributorId":112538,"corporation":false,"usgs":true,"family":"Quigley","given":"Martin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":573123,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Jarnevich, C. S.","contributorId":54932,"corporation":false,"usgs":true,"family":"Jarnevich","given":"C. S.","affiliations":[],"preferred":false,"id":573124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evangelista, P.","contributorId":21903,"corporation":false,"usgs":true,"family":"Evangelista","given":"P.","email":"","affiliations":[],"preferred":false,"id":573125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, J.","contributorId":73826,"corporation":false,"usgs":true,"family":"Graham","given":"J.","email":"","affiliations":[],"preferred":false,"id":573126,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148137,"text":"70148137 - 2013 - Telemetry-based mortality estimates of juvenile spot in two North Carolina estuarine creeks","interactions":[],"lastModifiedDate":"2015-05-28T17:16:31","indexId":"70148137","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Telemetry-based mortality estimates of juvenile spot in two North Carolina estuarine creeks","docAbstract":"We estimated natural mortality rates (M) of age-1 Spot Leiostomus xanthurus by using a sonic telemetry approach. Sonic transmitters were surgically implanted into a total of 123 age-1 Spot in two North Carolina estuarine creeks during spring 2009 and 2010, and the fish were monitored by using a stationary acoustic receiver array and manual tracking. Fates of telemetered Spot were inferred based on telemetry information from estimated locations and swimming speeds. Potential competitors of age-1 Spot were assessed through simultaneous otter trawl sampling, while potential predators of Spot were collected using gill nets and trammel nets. The number of inferred natural mortalities was zero in 2009 (based on 29 telemetered Spot at risk) and four in 2010 (based on 52 fish at risk), with fish being at risk for up to about 70 d each year. Catches of potential competitors or predators did not differ between years, and age-1 Spot were not found in analyzed stomach contents of potential predators. Our estimated 30-d M of 0.03 (95% credible interval = 0.01–0.07) was lower than that predicted from weight-based (M = 0.07) and life-history-based (M = 0.06–0.36) estimates. Our field-based estimate of M for age-1 Spot in this estuarine system can assist in the assessment and management of Spot by allowing a direct comparison with M-values predicted from fish size or life history characteristics. The field telemetry and statistical analysis techniques developed here provide guidance for future telemetry studies of relatively small fish in open, dynamic habitat systems, as they highlight strengths and weaknesses of using a telemetry approach to estimate M.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.730108","usgsCitation":"Friedl, S.E., Buckel, J.A., Hightower, J.E., Scharf, F.S., and Pollock, K.H., 2013, Telemetry-based mortality estimates of juvenile spot in two North Carolina estuarine creeks: Transactions of the American Fisheries Society, v. 142, no. 2, p. 399-415, https://doi.org/10.1080/00028487.2012.730108.","productDescription":"16 p.","startPage":"399","endPage":"415","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033681","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.85400009155273,\n 34.94153305501871\n ],\n [\n -76.85073852539062,\n 34.93632635451757\n ],\n [\n -76.84919357299805,\n 34.918592949176926\n ],\n [\n -76.85245513916014,\n 34.91873370557745\n ],\n [\n -76.85932159423828,\n 34.908739401299634\n ],\n [\n -76.85897827148438,\n 34.90099649827159\n ],\n [\n -76.86344146728516,\n 34.895083244346004\n ],\n [\n -76.85949325561523,\n 34.88508606133191\n ],\n [\n -76.86481475830078,\n 34.89311206510446\n ],\n [\n -76.86447143554688,\n 34.8971951696173\n ],\n [\n -76.8606948852539,\n 34.90212278408567\n ],\n [\n -76.8632698059082,\n 34.90690932647357\n ],\n [\n -76.85382843017578,\n 34.92056351681724\n ],\n [\n -76.85417175292969,\n 34.9311193234724\n ],\n [\n -76.86120986938477,\n 34.93463762390842\n ],\n [\n -76.85400009155273,\n 34.94153305501871\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.75237655639648,\n 34.922393287260356\n ],\n [\n -76.76095962524414,\n 34.918311435651674\n ],\n [\n -76.761474609375,\n 34.90705010290836\n ],\n [\n -76.76542282104492,\n 34.897054376288494\n ],\n [\n -76.76628112792967,\n 34.88480443292785\n ],\n [\n -76.76713943481445,\n 34.87494683076018\n ],\n [\n -76.76233291625975,\n 34.869735906318255\n ],\n [\n -76.76456451416016,\n 34.863679552165706\n ],\n [\n -76.76233291625975,\n 34.86086249128427\n ],\n [\n -76.76027297973633,\n 34.86931338445621\n ],\n [\n -76.75958633422852,\n 34.871848483060504\n ],\n [\n -76.76387786865234,\n 34.87565098440711\n ],\n [\n -76.76250457763672,\n 34.88663500030197\n ],\n [\n -76.76370620727539,\n 34.88846552689716\n ],\n [\n -76.7611312866211,\n 34.8971951696173\n ],\n [\n -76.7588996887207,\n 34.90099649827159\n ],\n [\n -76.75460815429688,\n 34.9118363580797\n ],\n [\n -76.75323486328125,\n 34.91549624729326\n ],\n [\n -76.75237655639648,\n 34.922393287260356\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"142","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-28","publicationStatus":"PW","scienceBaseUri":"55683f58e4b0d9246a9f611f","contributors":{"authors":[{"text":"Friedl, Sarah E.","contributorId":140977,"corporation":false,"usgs":false,"family":"Friedl","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":547795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buckel, Jeffery A.","contributorId":42872,"corporation":false,"usgs":true,"family":"Buckel","given":"Jeffery","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":547817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hightower, Joseph E. 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":547466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scharf, Frederick S.","contributorId":140980,"corporation":false,"usgs":false,"family":"Scharf","given":"Frederick","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":547818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":547819,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148136,"text":"70148136 - 2013 - Reliability of fish size estimates obtained from multibeam imaging sonar","interactions":[],"lastModifiedDate":"2015-05-29T14:28:11","indexId":"70148136","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Reliability of fish size estimates obtained from multibeam imaging sonar","docAbstract":"Multibeam imaging sonars have considerable potential for use in fisheries surveys because the video-like images are easy to interpret, and they contain information about fish size, shape, and swimming behavior, as well as characteristics of occupied habitats. We examined images obtained using a dual-frequency identification sonar (DIDSON) multibeam sonar for Atlantic sturgeon Acipenser oxyrinchus oxyrinchus, striped bass Morone saxatilis, white perch M. americana, and channel catfish Ictalurus punctatus of known size (20–141 cm) to determine the reliability of length estimates. For ranges up to 11 m, percent measurement error (sonar estimate – total length)/total length × 100 varied by species but was not related to the fish's range or aspect angle (orientation relative to the sonar beam). Least-square mean percent error was significantly different from 0.0 for Atlantic sturgeon (x̄ = −8.34, SE = 2.39) and white perch (x̄ = 14.48, SE = 3.99) but not striped bass (x̄ = 3.71, SE = 2.58) or channel catfish (x̄ = 3.97, SE = 5.16). Underestimating lengths of Atlantic sturgeon may be due to difficulty in detecting the snout or the longer dorsal lobe of the heterocercal tail. White perch was the smallest species tested, and it had the largest percent measurement errors (both positive and negative) and the lowest percentage of images classified as good or acceptable. Automated length estimates for the four species using Echoview software varied with position in the view-field. Estimates tended to be low at more extreme azimuthal angles (fish's angle off-axis within the view-field), but mean and maximum estimates were highly correlated with total length. Software estimates also were biased by fish images partially outside the view-field and when acoustic crosstalk occurred (when a fish perpendicular to the sonar and at relatively close range is detected in the side lobes of adjacent beams). These sources of bias are apparent when files are processed manually and can be filtered out when producing automated software estimates. Multibeam sonar estimates of fish size should be useful for research and management if these potential sources of bias and imprecision are addressed.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/102011-JFWM-061","usgsCitation":"Hightower, J.E., Magowan, K.J., Brown, L.M., and Fox, D.A., 2013, Reliability of fish size estimates obtained from multibeam imaging sonar: Journal of Fish and Wildlife Management, v. 4, no. 1, p. 86-96, https://doi.org/10.3996/102011-JFWM-061.","productDescription":"11 p.","startPage":"86","endPage":"96","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032598","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55698df5e4b0d9246a9f64b7","contributors":{"authors":[{"text":"Hightower, Joseph E. 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":547465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magowan, Kevin J.","contributorId":140994,"corporation":false,"usgs":false,"family":"Magowan","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":547891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Lori M.","contributorId":140995,"corporation":false,"usgs":false,"family":"Brown","given":"Lori","email":"","middleInitial":"M.","affiliations":[{"id":12970,"text":"Department of Agriculture and Natural Resources, Delaware State University","active":true,"usgs":false}],"preferred":false,"id":547892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fox, Dewayne A.","contributorId":117052,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","email":"","middleInitial":"A.","affiliations":[{"id":12970,"text":"Department of Agriculture and Natural Resources, Delaware State University","active":true,"usgs":false}],"preferred":false,"id":547893,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70134558,"text":"70134558 - 2013 - Migration patterns of Western High Arctic (Grey-belly) Brant Branta bernicla","interactions":[],"lastModifiedDate":"2018-03-30T09:25:43","indexId":"70134558","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Migration patterns of Western High Arctic (Grey-belly) Brant Branta bernicla","docAbstract":"This study describes the seasonal migration patterns of Western High Arctic Brant (WHA, or Grey-belly Brent Geese), Branta bernicla, an admixed population that breeds in the Canadian High Arctic and winters along the Pacific coast of North America. Adult WHA Brant were captured in family groups on Melville Island (75°23’N, 110°50’W) in 2002 and 2005 and marked with satellite platform transmitting terminal (PTT) transmitters or very high frequency (VHF) transmitters. During autumn migration, all PTT-tagged Brant followed a coastal route around Alaska and staged for variable lengths of time at the following sites on the north and west coasts of Alaska: Kasegaluk Lagoon (69°56’N, 162°40’W), Ikpek Lagoon (65°55’N, 167°03’W), and Izembek Lagoon (55°19’N, 162°50’W). Izembek Lagoon was the most important staging area in terms of length of stay (two months on average) and the majority (67–93%) of PTT and VHF detections occurred in Moffet Bay (55°24’N, 162°34’W). After departing Izembek Lagoon, the PTT-tagged geese followed a c. 2,900 km trans-oceanic route to overwinter in the southern part of the Salish Sea (i.e. from north Puget Sound, Washington to south Strait of Georgia, British Columbia; centred at c. 48°45’N, 122°40’W). Most (c. 45%) PTT detections in the southern Salish Sea occurred in Samish Bay (48°36’N, 122°30’W) followed by Padilla Bay (48°30’N, 122°31’W; c. 26%). Brant migrated north from the Salish Sea along the coast to southeast Alaska and then followed either an interior route across the Yukon or a coastal route around Alaska. The “interior” birds staged for c. four days at Liverpool Bay (69°20’N, 133°55’W) in the Northwest Territories before flying on to Melville Island. They also departed the Salish Sea two weeks later than the coastal migrants and arrived at Melville Island two weeks earlier. This study and previous research suggest that WHA Brant use similar migration routes each year and are faithful to their breeding, staging, and wintering grounds. Because WHA Brant constitute one of the smallest breeding stocks in the world (8,000–11,000 individuals), concentrate in only a few areas, and are likely highly site-faithful, they are susceptible to a range of threats such as excessive harvesting, habitat loss and/or degradation, and petroleum spills.
","language":"English","publisher":"Wildfowl and Wetlands Trust","usgsCitation":"Boyd, W.S., Ward, D.H., Kraege, D.K., and Gerick, A.A., 2013, Migration patterns of Western High Arctic (Grey-belly) Brant Branta bernicla: Wildfowl, v. 3, p. 3-25.","productDescription":"23 p.","startPage":"3","endPage":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050931","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296413,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2508"}],"country":"Canada, United States","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54803429e4b0ac64d148dcee","contributors":{"authors":[{"text":"Boyd, W. Sean","contributorId":11048,"corporation":false,"usgs":true,"family":"Boyd","given":"W.","email":"","middleInitial":"Sean","affiliations":[],"preferred":false,"id":526266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraege, Donald K.","contributorId":19738,"corporation":false,"usgs":false,"family":"Kraege","given":"Donald","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":526267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerick, Alyssa A.","contributorId":127674,"corporation":false,"usgs":false,"family":"Gerick","given":"Alyssa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":526268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70138190,"text":"70138190 - 2013 - Towards a publicly available, map-based regional software tool to estimate unregulated daily streamflow at ungauged rivers","interactions":[],"lastModifiedDate":"2015-01-15T11:58:35","indexId":"70138190","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1818,"text":"Geoscientific Model Development","active":true,"publicationSubtype":{"id":10}},"title":"Towards a publicly available, map-based regional software tool to estimate unregulated daily streamflow at ungauged rivers","docAbstract":"Streamflow information is critical for addressing any number of hydrologic problems. Often, streamflow information is needed at locations that are ungauged and, therefore, have no observations on which to base water management decisions. Furthermore, there has been increasing need for daily streamflow time series to manage rivers for both human and ecological functions. To facilitate negotiation between human and ecological demands for water, this paper presents the first publicly available, map-based, regional software tool to estimate historical, unregulated, daily streamflow time series (streamflow not affected by human alteration such as dams or water withdrawals) at any user-selected ungauged river location. The map interface allows users to locate and click on a river location, which then links to a spreadsheet-based program that computes estimates of daily streamflow for the river location selected. For a demonstration region in the northeast United States, daily streamflow was, in general, shown to be reliably estimated by the software tool. Estimating the highest and lowest streamflows that occurred in the demonstration region over the period from 1960 through 2004 also was accomplished but with more difficulty and limitations. The software tool provides a general framework that can be applied to other regions for which daily streamflow estimates are needed.
The Mississippi coastline is 113 linear kilometers (70 miles) long and its estuaries cover approximately 594 km (369 mi; Figure 1) (Handley and others, 2007). It has a man-made sand beach 43.5 km (27 mi) long and 595.5 km (370 mi) of shoreline (Klein and others, b., 1998). The Mississippi Sound extends across the coastal waters of the State and encompasses 175,412 ha (433,443 acres). It is bordered by the Mississippi coast; Mobile Bay, Ala.; the Gulf Islands National Seashore barrier islands; and Lake Borgne, La. The watersheds and drainages feeding into Mississippi Sound, excluding tidal exchange from the Gulf of Mexico, include Lake Borgne, Pearl River, Jourdan River, Wolf River, Biloxi River, Tchoutacabouffa River, Pascagoula River, and Mobile Bay. The Pascagoula River is one of the last undammed rivers in the continental U.S. and the only undammed river flowing into the Gulf of Mexico. Freshwater inflow into Mississippi Sound, excluding that from Mobile Bay, averages 882.4 m3 per second (30,806 ft3 per second).
The Mississippi coastal zone contains approximately one-third of the State’s 120 ecological communities (Klein and others, a., 1998). Regional land use includes silviculture, agriculture, and urban development, including several coastal casinos. Commercial shipping, shipbuilding, phosphate rock refinement, and electric power generation companies include some of the industrial complexes found along the Mississippi coast. The three counties found along the Mississippi coast, Hancock, Harrison, and Jackson Counties, had a total population of 370,702 as of 2010, constituting 12.5 percent of the State’s population (U.S. Census Bureau, 2010). These counties cover over 160.9 km (100 mi) of coastline and are one of the fastest growing regions in the state (Klein and others, b., 1998).
The casino industry, military installations, trade, and manufacturing provide most jobs in coastal Mississippi. Two major deep-water ports exist in coastal Mississippi. Recreation and tourism have a significant impact on Mississippi’s economy as well, annually attracting approximately 1.8 million visitors to the coast and generating approximately \\$3.5 billion statewide, about one-third of which comes from coastal tourism. Ninety percent of the coastal tourism expenditures come from recreational boating and related industries. Marine recreational fishing generates more than \\$50 million annually, with approximately 280,000 participants, more than a million recreational fishing expeditions, and over 40,000 resident saltwater sportfishing licenses sold each year. More than one-fourth of the anglers fishing in coastal Mississippi are tourists. Landings of shrimp, crabs, oysters, and finfish equal approximately 99.8 million kg (220 million lbs) of seafood annually. The entire seafood industry in coastal Mississippi, including processing of seafood caught in other Gulf States, generates approximately \\$450 million per year.
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Hansen","affiliations":[],"preferred":false,"id":687838,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rodhouse, Thomas J.","contributorId":127378,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas J.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":687817,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Garrett, Lisa K.","contributorId":190212,"corporation":false,"usgs":false,"family":"Garrett","given":"Lisa","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":687814,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687818,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dicus, Gordon H.","contributorId":190211,"corporation":false,"usgs":false,"family":"Dicus","given":"Gordon","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":687816,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lonneker, Meghan K.","contributorId":190225,"corporation":false,"usgs":false,"family":"Lonneker","given":"Meghan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":687815,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70192692,"text":"70192692 - 2013 - Assessing the location and magnitude of the 20 October 1870 Charlevoix, Quebec, earthquake","interactions":[],"lastModifiedDate":"2017-10-31T13:38:20","indexId":"70192692","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the location and magnitude of the 20 October 1870 Charlevoix, Quebec, earthquake","docAbstract":"The Charlevoix, Quebec, earthquake of 20 October 1870 caused damage to several towns in Quebec and was felt throughout much of southeastern Canada and along the U.S. Atlantic seaboard from Maine to Maryland. Site‐specific damage and felt reports from Canadian and U.S. cities and towns were used in analyses of the location and magnitude of the earthquake. The macroseismic center of the earthquake was very close to Baie‐St‐Paul, where the greatest damage was reported, and the intensity magnitude MI was found to be 5.8, with a 95% probability range of 5.5–6.0. After corrections for epicentral‐distance differences are applied, the modified Mercalli intensity (MMI) data for the 1870 earthquake and for the moment magnitude M 6.2 Charlevoix earthquake of 1925 at common sites show that on average, the MMI readings are about 0.8 intensity units smaller for the 1870 earthquake than for the 1925 earthquake, suggesting that the 1870 earthquake was MI 5.7. A similar comparison of the MMI data for the 1870 earthquake with the corresponding data for the M 5.9 1988 Saguenay event suggests that the 1870 earthquake was MI 6.0. These analyses all suggest that the magnitude of the 1870 Charlevoix earthquake is between MI 5.5 and MI 6.0, with a best estimate of MI 5.8.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120110063","usgsCitation":"Ebel, J.E., Dupuy, M., and Bakun, W.H., 2013, Assessing the location and magnitude of the 20 October 1870 Charlevoix, Quebec, earthquake: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 588-594, https://doi.org/10.1785/0120110063.","productDescription":"7 p.","startPage":"588","endPage":"594","ipdsId":"IP-028002","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85,\n 35\n ],\n [\n -60,\n 35\n ],\n [\n -60,\n 50\n ],\n [\n -85,\n 50\n ],\n [\n -85,\n 35\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"103","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"59f98bbee4b0531197afa042","contributors":{"authors":[{"text":"Ebel, John E.","contributorId":198671,"corporation":false,"usgs":false,"family":"Ebel","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dupuy, Megan","contributorId":198672,"corporation":false,"usgs":false,"family":"Dupuy","given":"Megan","email":"","affiliations":[],"preferred":false,"id":716725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bakun, William H.","contributorId":39361,"corporation":false,"usgs":true,"family":"Bakun","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":716723,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186190,"text":"70186190 - 2013 - The false spring of 2012, earliest in North American record","interactions":[],"lastModifiedDate":"2018-02-21T13:54:34","indexId":"70186190","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"The false spring of 2012, earliest in North American record","docAbstract":"Phenology - the study of recurring plant and animal life cycle stages, especially their timing and relationships with weather and climate - is becoming an essential tool for documenting, communicating, and anticipating the consequences of climate variability and change. For example, March 2012 broke numerous records for warm temperatures and early flowering in the United States [Karl et al., 2012; Elwood et al., 2013]. Many regions experienced a “false spring,” a period of weather in late winter or early spring sufficiently mild and long to bring vegetation out of dormancy prematurely, rendering it vulnerable to late frost and drought.
As global climate warms, increasingly warmer springs may combine with the random climatological occurrence of advective freezes, which result from cold air moving from one region to another, to dramatically increase the future risk of false springs, with profound ecological and economic consequences [e.g., Gu et al., 2008; Marino et al., 2011; Augspurger, 2013]. For example, in the false spring of 2012, an event embedded in long-term trends toward earlier spring [e.g., Schwartz et al., 2006], the frost damage to fruit trees totaled half a billion dollars in Michigan alone, prompting the federal government to declare the state a disaster area [Knudson, 2012].
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013EO200001","usgsCitation":"Ault, T., Henebry, G., de Beurs, K., Schwartz, M., Betancourt, J.L., and Moore, D., 2013, The false spring of 2012, earliest in North American record: Eos, Transactions, American Geophysical Union, v. 94, no. 20, p. 181-183, https://doi.org/10.1002/2013EO200001.","productDescription":"3 p.","startPage":"181","endPage":"183","ipdsId":"IP-044739","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":490021,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013eo200001","text":"Publisher Index Page"},{"id":338885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"20","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-14","publicationStatus":"PW","scienceBaseUri":"58df6ac8e4b02ff32c6aea71","contributors":{"authors":[{"text":"Ault, T.R.","contributorId":14229,"corporation":false,"usgs":true,"family":"Ault","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":687839,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Henebry, G.M.","contributorId":98055,"corporation":false,"usgs":true,"family":"Henebry","given":"G.M.","affiliations":[],"preferred":false,"id":687827,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"de Beurs, K. M.","contributorId":28839,"corporation":false,"usgs":true,"family":"de Beurs","given":"K. M.","affiliations":[],"preferred":false,"id":687824,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schwartz, M.D.","contributorId":190219,"corporation":false,"usgs":false,"family":"Schwartz","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":687825,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":687826,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Moore, David","contributorId":190216,"corporation":false,"usgs":false,"family":"Moore","given":"David","affiliations":[],"preferred":false,"id":687823,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70187685,"text":"70187685 - 2013 - Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands","interactions":[],"lastModifiedDate":"2017-05-15T14:42:57","indexId":"70187685","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands","docAbstract":"In recent years, there has been a significant increase in the use of remotely sensed data to address global issues. With the open data policy, the data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Enhanced Thematic Mapper Plus (ETM+) sensors have become a critical component of numerous applications. These two sensors have been operational for more than a decade, providing a rich archive of multispectral imagery for analysis of mutitemporal remote sensing data. This paper focuses on evaluating the radiometric calibration agreement between MODIS and ETM+ using the near-simultaneous and cloud-free image pairs over an African pseudo-invariant calibration site, Libya 4. To account for the combined uncertainties in the top-of-atmosphere (TOA) reflectance due to surface and atmospheric bidirectional reflectance distribution function (BRDF), a semiempirical BRDF model was adopted to normalize the TOA reflectance to the same illumination and viewing geometry. In addition, the spectra from the Earth Observing-1 (EO-1) Hyperion were used to compute spectral corrections between the corresponding MODIS and ETM+ spectral bands. As EO-1 Hyperion scenes were not available for all MODIS and ETM+ data pairs, MODerate resolution atmospheric TRANsmission (MODTRAN) 5.0 simulations were also used to adjust for differences due to the presence or lack of absorption features in some of the bands. A MODIS split-window algorithm provides the atmospheric water vapor column abundance during the overpasses for the MODTRAN simulations. Additionally, the column atmospheric water vapor content during the overpass was retrieved using the MODIS precipitable water vapor product. After performing these adjustments, the radiometric cross-calibration of the two sensors was consistent to within 7%. Some drifts in the response of the bands are evident, with MODIS band 3 being the largest of about 6% over 10 years, a change that will be corrected in Collection 6 MODIS processing.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2012.2235448","usgsCitation":"Angal, A., Xiong, X., Wu, A., Chander, G., and Choi, T., 2013, Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands: IEEE Transactions on Geoscience and Remote Sensing, v. 51, no. 4, p. 1870-1882, https://doi.org/10.1109/TGRS.2012.2235448.","productDescription":"13 p.","startPage":"1870","endPage":"1882","ipdsId":"IP-043734","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474036,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20140013366","text":"External Repository"},{"id":341240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5916c9b5e4b044b359e486a0","contributors":{"authors":[{"text":"Angal, Amit","contributorId":67394,"corporation":false,"usgs":true,"family":"Angal","given":"Amit","email":"","affiliations":[],"preferred":false,"id":695066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":695067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Aisheng","contributorId":65362,"corporation":false,"usgs":true,"family":"Wu","given":"Aisheng","email":"","affiliations":[],"preferred":false,"id":695068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":695065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, Taeyoung","contributorId":146955,"corporation":false,"usgs":false,"family":"Choi","given":"Taeyoung","email":"","affiliations":[],"preferred":false,"id":695069,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187684,"text":"70187684 - 2013 - Baseline-dependent responses of soil organic carbon dynamics to climate and land disturbances","interactions":[],"lastModifiedDate":"2017-05-12T15:40:33","indexId":"70187684","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":851,"text":"Applied and Environmental Soil Science","active":true,"publicationSubtype":{"id":10}},"title":"Baseline-dependent responses of soil organic carbon dynamics to climate and land disturbances","docAbstract":"Terrestrial carbon (C) sequestration through optimizing land use and management is widely considered a realistic option to mitigate the global greenhouse effect. But how the responses of individual ecosystems to changes in land use and management are related to baseline soil organic C (SOC) levels still needs to be evaluated at various scales. In this study, we modeled SOC dynamics within both natural and managed ecosystems in North Dakota of the United States and found that the average SOC stock in the top 20 cm depth of soil lost at a rate of 450 kg C ha−1 yr−1 in cropland and 110 kg C ha−1 yr−1 in grassland between 1971 and 1998. Since 1998, the study area had become a SOC sink at a rate of 44 kg C ha−1 yr−1. The annual rate of SOC change in all types of lands substantially depends on the magnitude of initial SOC contents, but such dependency varies more with climatic variables within natural ecosystems and with management practices within managed ecosystems. Additionally, soils with high baseline SOC stocks tend to be C sources following any land surface disturbances, whereas soils having low baseline C contents likely become C sinks following conservation management.
","language":"English","publisher":"Hindawi","doi":"10.1155/2013/206758","usgsCitation":"Tan, Z., and Liu, S., 2013, Baseline-dependent responses of soil organic carbon dynamics to climate and land disturbances: Applied and Environmental Soil Science, v. 2013, p. 1-7, https://doi.org/10.1155/2013/206758.","productDescription":"Article ID 206758; 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-043636","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2013/206758","text":"Publisher Index Page"},{"id":341238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5916c9b6e4b044b359e486a2","contributors":{"authors":[{"text":"Tan, Zhengxi 0000-0002-4136-0921 ztan@usgs.gov","orcid":"https://orcid.org/0000-0002-4136-0921","contributorId":2945,"corporation":false,"usgs":true,"family":"Tan","given":"Zhengxi","email":"ztan@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695063,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185656,"text":"70185656 - 2013 - Book review: Economic geology: Principles and practice: Metals, minerals, coal and hydrocarbons—Introduction to formation and sustainable exploitation of mineral deposits","interactions":[],"lastModifiedDate":"2017-03-27T13:28:10","indexId":"70185656","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Economic geology: Principles and practice: Metals, minerals, coal and hydrocarbons—Introduction to formation and sustainable exploitation of mineral deposits","docAbstract":"This volume, available in both hardcover and paperback, is an English translation of the fifth edition of the German language text Mineralische und Energie-Rohstoffe. The book provides an extensive overview of natural resources and societal issues associated with extracting raw materials. The comprehensive list of raw materials discussed includes metals, industrial minerals, coal, and hydrocarbons. The book is divided into four parts: (1) “Metalliferous ore deposits,” (2) “Nonmetallic minerals and rocks,” (3) “Practice of economic geology,” and (4) “Fossil energy raw materials—coal, oil, and gas.” These sections are bound by a brief introduction and an extensive list of up-to-date references as well as an index. Each chapter begins with a concise synopsis and concludes with a summary that contains useful suggestions for additional reading. All figures are grayscale images and line drawings; however, several have been grouped together and reproduced as color plates. Also included is a companion website (www.wiley.com/go/pohl/geology) that contains additional resources, such as digital copies of figures, tables, and an expanded index, all available for download in easy-to-use formats.
Economic Geology: Principles and Practice: Metals, Minerals, Coal and Hydrocarbons—Introduction to Formation and Sustainable Exploitation of Mineral Deposits. Walter l. Pohl. 2011. Wiley-Blackwell. Pp. 663. ISBN 978-1-4443-3663-4 (paperback).
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.108.6.1517","usgsCitation":"Anderson, E., 2013, Book review: Economic geology: Principles and practice: Metals, minerals, coal and hydrocarbons—Introduction to formation and sustainable exploitation of mineral deposits: Economic Geology, v. 108, no. 6, p. 1517-1518, https://doi.org/10.2113/econgeo.108.6.1517.","productDescription":"2 p.","startPage":"1517","endPage":"1518","ipdsId":"IP-045768","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":338387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-13","publicationStatus":"PW","scienceBaseUri":"58da2519e4b0543bf7fda7f8","contributors":{"authors":[{"text":"Anderson, Eric D. 0000-0002-0138-6166 ericanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":172766,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric","email":"ericanderson@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":686251,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187701,"text":"70187701 - 2013 - Eighth Landsat satellite becomes operational","interactions":[],"lastModifiedDate":"2017-05-15T14:34:24","indexId":"70187701","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Eighth Landsat satellite becomes operational","docAbstract":"No abstract available.
","language":"English","publisher":"ASPRS","usgsCitation":"Irons, J.R., and Loveland, T.R., 2013, Eighth Landsat satellite becomes operational: Photogrammetric Engineering and Remote Sensing, v. 79, no. 5, p. 398-401.","productDescription":"4 p.","startPage":"398","endPage":"401","ipdsId":"IP-045042","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591abe3ae4b0a7fdb43c8c07","contributors":{"authors":[{"text":"Irons, J. R.","contributorId":67694,"corporation":false,"usgs":true,"family":"Irons","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":695193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140256,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":695194,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}