Climate is a master controller of the structure, composition, and function of biotic communities, \naffecting them both directly, through physiological effects, and indirectly, by mediating biotic \ninteractions and by influencing disturbance regimes. Sequoia and Kings Canyon National Park’s \n(SEKI’s) dramatic elevational changes in biotic communities -- from warm mediterranean to \ncold alpine -- are but one manifestation of climate’s overarching importance in shaping SEKI’s \nlandscape.
\nYet humans are now altering the global climate, with measurable effects on ecosystems (IPCC \n2007). Over the last few decades across the western United States, human-induced climatic \nchanges have likely contributed to observed declines in fraction of precipitation falling as snow \nand snowpack water content (Mote et al. 2005, Knowles et al. 2006), advance in spring \nsnowmelt (Stewart et al. 2005, Barnett et al. 2008), and consequent increase in area burned in \nwildfires (Westerling et al. 2006). In the Sierra Nevada, warming temperatures have likely \ncontributed to observed glacial recession (Basagic 2008), uphill migration of small mammals \n(Moritz et al. 2008), and increasing tree mortality rates (van Mantgem and Stephenson 2007, van \nMantgem et al. 2009). More substantial changes can be expected for the future (e.g., IPCC \n2007).
\nGiven the central importance of climate and climatic changes, we sought to describe long-term \ntrends in temperature and precipitation at SEKI. Time and budget constraints limited us to \nanalyses of mean annual temperature and mean annual precipitation, using readily-available data. \nIf funds become available in the future, further analyses will be needed to analyze trends by \nseason, trends in daily minimum and maximum temperatures, and so on.
\nWe chose to analyze data from individual weather stations rather than use interpolated climatic \ndata from sources such as PRISM (http://www.prism.oregonstate.edu/). In topographically \ncomplex mountainous regions with few weather stations, like SEKI, the addition or subtraction \nof even a single weather station through time has the potential to significantly bias trends in \ninterpolated data. In particular, this analysis was motivated by our questioning of some PRISM \nresults presented in Appendix 1 (Landscape Context) that compared temperature averages \nbetween two 30-year periods of the 20th Century. Figures 6 and 11 of Appendix 1 indicate that \nrecent (1971-2000) temperatures in northern Kings Canyon National Park averaged some 2° C \ncooler than those of 1911-1940. This would represent a truly profound and persistent cooling, \nand seems to be at odds both with the glacial retreats observed in the area over the century \n(Basagic 2008), and with the reported PRISM warming of nearly 2° C just to the west of the \ncooling (see Figs. 6 and 11 in Appendix 1). We suspect that the extreme localized Kings Canyon \ncooling reported by PRISM is an artifact of sparsely-distributed weather stations in the region \nbeing added and discontinued over the span of the 20th Century. For example, data from the \nWestern Regional Climate Center (http://www.wrcc.dri.edu/coopmap/) suggest that for the \nperiod 1911 through 1924 PRISM must interpolate northern Kings Canyon temperatures based \non a few low-elevation stations -- separated by hundreds of kilometers -- in Nevada and \nCalifornia’s San Joaquin Valley. In contrast, by 1970 PRISM interpolations will be dominated \nby closer, higher-elevation stations (see this report). The single weather station closest to \nnorthern Kings Canyon that has a temperature record at least partly spanning Appendix 1’s two\n30-year time periods -- the Independence station, with a relatively continuous temperature record \nstarting in 1925 -- shows a modest warming, not a cooling, between 1925-1940 and 1971-2000, \nfurther casting doubt on the Kings Canyon cooling shown in Figs. 6 and 11 of Appendix 1. If \nfunds become available, it will be useful to more formally analyze potential PRISM biases in \nlong-term SEKI climatic trends. Until then, the analyses of individual weather station records \npresented here (effectively an analysis of source data that PRISM uses) are meant to provide a \nrobust summary of climatic changes in SEKI.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Das, A., and Stephenson, N.L., 2013, A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change: Natural Resource Report NPS/SEKI/NRR--2013/665.22, v, 28 p.","productDescription":"v, 28 p.","numberOfPages":"36","ipdsId":"IP-039290","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294466,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2195963"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park;Sequoia National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.983208,36.118448 ], [ -118.983208,37.237613 ], [ -118.020777,37.237613 ], [ -118.020777,36.118448 ], [ -118.983208,36.118448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252e99e4b0e641df8a6e1c","contributors":{"authors":[{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70121475,"text":"70121475 - 2013 - Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","interactions":[],"lastModifiedDate":"2019-07-01T11:46:55","indexId":"70121475","displayToPublicDate":"2013-01-01T09:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","docAbstract":"Normalized Difference Vegetation Index (NDVI) derived from MODerate-resolution Imaging Spectroradiometer (MODIS) satellite imagery and land/water assessments from Landsat Thematic Mapper (TM) imagery were used to quantify the extent and severity of damage and subsequent recovery after Hurricanes Katrina and Rita of 2005 within the vegetation communities of Louisiana's coastal wetlands. Field data on species composition and total live cover were collected from 232 unique plots during multiple time periods to corroborate changes in NDVI values over time. Aprehurricane 5-year baseline time series clearly identified NDVI values by habitat type, suggesting the sensitivity of NDVI to assess and monitor phenological changes in coastal wetland habitats. Monthly data from March 2005 to November 2006 were compared to the baseline average to create a departure from average statistic. Departures suggest that over 33% (4,714 km2) of the prestorm, coastal wetlands experienced a substantial decline in the density and vigor of vegetation by October 2005 (poststorm), mostly in the east and west regions, where landfalls of Hurricanes Katrina and Rita occurred. The percentage of area of persistent vegetation damage due to long-lasting formation of new open water was 91.8% in the east and 81.0% and 29.0% in the central and west regions, respectively. Although below average NDVI values were observed in most marsh communities through November 2006, recovery of vegetation was evident. Results indicated that impacts and recovery from large episodic disturbance events that influence multiple habitat types can be accurately determined using NDVI, especially when integrated with assessments of physical landscape changes and field verifications.
","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-011.1","usgsCitation":"Steyer, G.D., Couvillion, B.R., and Barras, J., 2013, Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices: Journal of Coastal Research, no. 63, p. 118-130, https://doi.org/10.2112/SI63-011.1.","productDescription":"13 p.","startPage":"118","endPage":"130","numberOfPages":"13","ipdsId":"IP-035355","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.5829 ], [ -88.8162,30.5829 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","issue":"63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f85975e4b03f038c5c1872","contributors":{"authors":[{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":499102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499103,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70138950,"text":"70138950 - 2013 - The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data","interactions":[],"lastModifiedDate":"2015-01-26T09:31:15","indexId":"70138950","displayToPublicDate":"2013-01-01T09:45:00","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":"The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data","docAbstract":"The movement of animals is strongly influenced by external factors in their surrounding environment such as weather, habitat types, and human land use. With advances in positioning and sensor technologies, it is now possible to capture animal locations at high spatial and temporal granularities. Likewise, scientists have an increasing access to large volumes of environmental data. Environmental data are heterogeneous in source and format, and are usually obtained at different spatiotemporal scales than movement data. Indeed, there remain scientific and technical challenges in developing linkages between the growing collections of animal movement data and the large repositories of heterogeneous remote sensing observations, as well as in the developments of new statistical and computational methods for the analysis of movement in its environmental context. These challenges include retrieval, indexing, efficient storage, data integration, and analytical techniques.
","language":"English","publisher":"Minerva Center for Movement Ecology","publisherLocation":"London","doi":"10.1186/2051-3933-1-3","usgsCitation":"Dodge, S., Bohrer, G., Weinzierl, R.P., Davidson, S.C., Kays, R., Douglas, D.C., Cruz, S., Han, J., Brandes, D., and Wikelski, M., 2013, The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data: Movement Ecology, v. 1, no. 3, p. 1-14, https://doi.org/10.1186/2051-3933-1-3.","productDescription":"14 p.","startPage":"1","endPage":"14","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044477","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":474012,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2051-3933-1-3","text":"Publisher Index Page"},{"id":297505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297497,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1186/2051-3933-1-3"}],"volume":"1","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"54dd2c6ce4b08de9379b37d2","contributors":{"authors":[{"text":"Dodge, Somayeh","contributorId":138916,"corporation":false,"usgs":false,"family":"Dodge","given":"Somayeh","email":"","affiliations":[],"preferred":false,"id":539210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohrer, Gil","contributorId":66569,"corporation":false,"usgs":true,"family":"Bohrer","given":"Gil","affiliations":[],"preferred":false,"id":539211,"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":539212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davidson, Sarah C.","contributorId":31651,"corporation":false,"usgs":true,"family":"Davidson","given":"Sarah","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":539213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kays, Roland","contributorId":83815,"corporation":false,"usgs":true,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":539214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":539215,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cruz, Sebastian","contributorId":26987,"corporation":false,"usgs":true,"family":"Cruz","given":"Sebastian","affiliations":[],"preferred":false,"id":539216,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Han, J.","contributorId":52442,"corporation":false,"usgs":true,"family":"Han","given":"J.","affiliations":[],"preferred":false,"id":539217,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brandes, David","contributorId":138917,"corporation":false,"usgs":false,"family":"Brandes","given":"David","email":"","affiliations":[{"id":35653,"text":"Lafayette College, Easton, PA","active":true,"usgs":false}],"preferred":false,"id":539218,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":539219,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70121460,"text":"70121460 - 2013 - Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data","interactions":[],"lastModifiedDate":"2014-08-22T09:46:03","indexId":"70121460","displayToPublicDate":"2013-01-01T09:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data","docAbstract":"Forecasting marsh collapse in coastal Louisiana as a result of changes in sea-level rise, subsidence, and accretion deficits necessitates an understanding of thresholds beyond which inundation stress impedes marsh survival. The variability in thresholds at which different marsh types cease to occur (i.e., marsh collapse) is not well understood. We utilized remotely sensed imagery, field data, and elevation data to help gain insight into the relationships between vegetation health and inundation. A Normalized Difference Vegetation Index (NDVI) dataset was calculated using remotely sensed data at peak biomass (August) and used as a proxy for vegetation health and productivity. Statistics were calculated for NDVI values by marsh type for intermediate, brackish, and saline marsh in coastal Louisiana. Marsh-type specific NDVI values of 1.5 and 2 standard deviations below the mean were used as upper and lower limits to identify conditions indicative of collapse. As marshes seldom occur beyond these values, they are believed to represent a range within which marsh collapse is likely to occur. Inundation depth was selected as the primary candidate for evaluation of marsh collapse thresholds. Elevation relative to mean water level (MWL) was calculated by subtracting MWL from an elevation dataset compiled from multiple data types including light detection and ranging (lidar) and bathymetry. A polynomial cubic regression was used to examine a random subset of pixels to determine the relationship between elevation (relative to MWL) and NDVI. The marsh collapse uncertainty range values were found by locating the intercept of the regression line with the 1.5 and 2 standard deviations below the mean NDVI value for each marsh type. Results indicate marsh collapse uncertainty ranges of 30.7–35.8 cm below MWL for intermediate marsh, 20–25.6 cm below MWL for brackish marsh, and 16.9–23.5 cm below MWL for saline marsh. These values are thought to represent the ranges of inundation depths within which marsh collapse is probable.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-006.1","usgsCitation":"Couvillion, B., and Beck, H., 2013, Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data: Journal of Coastal Research, p. 58-67, https://doi.org/10.2112/SI63-006.1.","productDescription":"10 p.","startPage":"58","endPage":"67","numberOfPages":"10","ipdsId":"IP-035354","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292823,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-006.1"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.6491 ], [ -88.8162,30.6491 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f8596ae4b03f038c5c1847","contributors":{"authors":[{"text":"Couvillion, Brady R. 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":98834,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady R.","affiliations":[],"preferred":false,"id":499081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, Holly 0000-0002-0567-9329","orcid":"https://orcid.org/0000-0002-0567-9329","contributorId":54714,"corporation":false,"usgs":true,"family":"Beck","given":"Holly","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":499080,"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":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":70047654,"text":"70047654 - 2013 - Capture-recapture methodology","interactions":[],"lastModifiedDate":"2015-01-16T15:15:59","indexId":"70047654","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Capture-recapture methodology","docAbstract":"Capture-recapture methods were initially developed to estimate human population abundance, but since that time have seen widespread use for fish and wildlife populations to estimate and model various parameters of population, metapopulation, and disease dynamics. Repeated sampling of marked animals provides information for estimating abundance and tracking the fate of individuals in the face of imperfect detection. Mark types have evolved from clipping or tagging to use of noninvasive methods such as photography of natural markings and DNA collection from feces. Survival estimation has been emphasized more recently as have transition probabilities between life history states and/or geographical locations, even where some states are unobservable or uncertain. Sophisticated software has been developed to handle highly parameterized models, including environmental and individual covariates, to conduct model selection, and to employ various estimation approaches such as maximum likelihood and Bayesian approaches. With these user-friendly tools, complex statistical models for studying population dynamics have been made available to ecologists. The future will include a continuing trend toward integrating data types, both for tagged and untagged individuals, to produce more precise and robust population models.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Environmetrics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1002/9780470057339.vac002.pub2","usgsCitation":"Gould, W., and Kendall, W.L., 2013, Capture-recapture methodology, chap. of Encyclopedia of Environmetrics, https://doi.org/10.1002/9780470057339.vac002.pub2.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037243","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":276696,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2013-01-15","publicationStatus":"PW","scienceBaseUri":"520f3bd2e4b0fc50304bc478","contributors":{"authors":[{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":482638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":482637,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048335,"text":"70048335 - 2013 - Generalized additive regression models of discharge and mean velocity associated with direct-runoff conditions in Texas: Utility of the U.S. Geological Survey discharge measurement database","interactions":[],"lastModifiedDate":"2017-04-25T13:04:35","indexId":"70048335","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Generalized additive regression models of discharge and mean velocity associated with direct-runoff conditions in Texas: Utility of the U.S. Geological Survey discharge measurement database","docAbstract":"A database containing more than 17,700 discharge values and ancillary hydraulic properties was assembled from summaries of discharge measurement records for 424 U.S. Geological Survey streamflow-gauging stations (stream gauges) in Texas. Each discharge exceeds the 90th-percentile daily mean streamflow as determined by period-of-record, stream-gauge-specific, flow-duration curves. Each discharge therefore is assumed to represent discharge measurement made during direct-runoff conditions. The hydraulic properties of each discharge measurement included concomitant cross-sectional flow area, water-surface top width, and reported mean velocity. Systematic and statewide investigation of these data in pursuit of regional models for the estimation of discharge and mean velocity has not been previously attempted. Generalized additive regression modeling is used to develop readily implemented procedures by end-users for estimation of discharge and mean velocity from select predictor variables at ungauged stream locations. The discharge model uses predictor variables of cross-sectional flow area, top width, stream location, mean annual precipitation, and a generalized terrain and climate index (OmegaEM) derived for a previous flood-frequency regionalization study. The mean velocity model uses predictor variables of discharge, top width, stream location, mean annual precipitation, and OmegaEM. The discharge model has an adjusted R-squared value of about 0.95 and a residual standard error (RSE) of about 0.22 base-10 logarithm (cubic meters per second); the mean velocity model has an adjusted R-squared value of about 0.67 and an RSE of about 0.063 fifth root (meters per second). Example applications and computations using both regression models are provided. - See more at: http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29HE.1943-5584.0000635#sthash.jhGyPxgZ.dpuf
","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HE.1943-5584.0000635","usgsCitation":"Asquith, W.H., Herrmann, G.R., and Cleveland, T., 2013, Generalized additive regression models of discharge and mean velocity associated with direct-runoff conditions in Texas: Utility of the U.S. Geological Survey discharge measurement database: Journal of Hydrologic Engineering, v. 18, no. 10, p. 1331-1348, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000635.","productDescription":"18 p.","startPage":"1331","endPage":"1348","ipdsId":"IP-039500","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":340267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006066e4b0e85db3a5de0b","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrmann, George R.","contributorId":191361,"corporation":false,"usgs":false,"family":"Herrmann","given":"George","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":692815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Theodore G.","contributorId":88029,"corporation":false,"usgs":true,"family":"Cleveland","given":"Theodore G.","affiliations":[],"preferred":false,"id":692816,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70104965,"text":"70104965 - 2013 - Estimating abundance of the Southern Hudson Bay polar bear subpopulation using aerial surveys, 2011 and 2012","interactions":[],"lastModifiedDate":"2016-07-12T15:11:31","indexId":"70104965","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5138,"text":"Wildlife Research Series","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"2013-01","title":"Estimating abundance of the Southern Hudson Bay polar bear subpopulation using aerial surveys, 2011 and 2012","docAbstract":"The Southern Hudson Bay (SH) polar bear subpopulation occurs at the southern extent of the species’ range. Although capture-recapture studies indicate that abundance remained stable between 1986 and 2005, declines in body condition and survival were documented during the period, possibly foreshadowing a future decrease in abundance. To obtain a current estimate of abundance, we conducted a comprehensive line transect aerial survey of SH during 2011–2012. We stratified the study site by anticipated densities and flew coastal contour transects and systematically spaced inland transects in Ontario and on Akimiski Island and large offshore islands in 2011. Data were collected with double observer and distance sampling protocols. We also surveyed small islands in Hudson Bay and James Bay and flew a comprehensive transect along the Québec coastline in 2012. We observed 667 bears in Ontario and on Akimiski Island and nearby islands in 2011, and we sighted 80 bears on offshore islands during 2012. Mark-recapture distance sampling and sightresight models yielded a model-averaged estimate of 868 (SE: 177) for the 2011 study area. Our estimate of abundance for the entire SH subpopulation (951; SE: 177) suggests that abundance has remained unchanged. However, this result should be interpreted cautiously because of the methodological differences between historical studies (physical capture) and this survey. A conservative management approach is warranted given the previous increases in the duration of the ice-free season, which are predicted to continue in the future, and previously documented declines in body condition and vital rates.
","language":"English","publisher":"Ontario Ministry of Natural Resources, Science and Research Branch","publisherLocation":"Peterborough, Ontario, Canada","isbn":"978-1-4606-3321-2","usgsCitation":"Obbard, M.E., Middel, K.R., Stapleton, S.P., Thibault, I., Brodeur, V., and Jutras, C., 2013, Estimating abundance of the Southern Hudson Bay polar bear subpopulation using aerial surveys, 2011 and 2012: Wildlife Research Series 2013-01, 33 p.","productDescription":"33 p.","numberOfPages":"35","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052644","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":325121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Hudson Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.857421875,\n 50.14874640066278\n ],\n [\n -88.857421875,\n 60.174306261926034\n ],\n [\n -72.6416015625,\n 60.174306261926034\n ],\n [\n -72.6416015625,\n 50.14874640066278\n ],\n [\n -88.857421875,\n 50.14874640066278\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dcfdee4b0589fa1cbd7f5","contributors":{"authors":[{"text":"Obbard, Martyn E.","contributorId":108002,"corporation":false,"usgs":false,"family":"Obbard","given":"Martyn","email":"","middleInitial":"E.","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":548211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middel, Kevin R.","contributorId":141065,"corporation":false,"usgs":false,"family":"Middel","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":548212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stapleton, Seth P. sstapleton@usgs.gov","contributorId":3979,"corporation":false,"usgs":true,"family":"Stapleton","given":"Seth","email":"sstapleton@usgs.gov","middleInitial":"P.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":518862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thibault, Isabelle","contributorId":141066,"corporation":false,"usgs":false,"family":"Thibault","given":"Isabelle","email":"","affiliations":[],"preferred":false,"id":548213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brodeur, Vincent","contributorId":141067,"corporation":false,"usgs":false,"family":"Brodeur","given":"Vincent","email":"","affiliations":[],"preferred":false,"id":548214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jutras, Charles","contributorId":141068,"corporation":false,"usgs":false,"family":"Jutras","given":"Charles","email":"","affiliations":[],"preferred":false,"id":548215,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70128318,"text":"70128318 - 2013 - Landsat Data Continuity Mission, now Landsat-8: six months on-orbit","interactions":[],"lastModifiedDate":"2017-04-21T16:07:17","indexId":"70128318","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat Data Continuity Mission, now Landsat-8: six months on-orbit","docAbstract":"The Landsat Data Continuity Mission (LDCM) with two pushbroom Earth-imaging sensors, the Operational Land Imager (OLI) and the Thermal InfraRed Sensor (TIRS), was launched on February 11, 2013. Its on-orbit check out period or commissioning phase lasted about 90 days. During this phase the spacecraft and its instruments were activated, operationally tested and their performance verified. In addition, during this period, the spacecraft was temporarily placed in an intermediary orbit where it drifted relative to the Landsat-7 spacecraft, providing near simultaneous imaging for about 3 days, allowing data comparison and cross calibration. After this tandem-imaging period, LDCM was raised to its final altitude and placed in the position formerly occupied by Landsat-5, i.e., 8 days out of phase with Landsat-7, with about a 10:10 AM equatorial crossing time. At the end of commissioning, the satellite was transferred to the United States Geological Survey (USGS), officially renamed Landsat-8 and declared operational. Data were made available to the public beginning May 31, 2013. The performance of the satellite and two instruments has generally been excellent as evidenced in the quality of the distributed data products. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SPIE 8866, Earth Observing Systems","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Earth Observing Systems XVIII","conferenceDate":"August 25, 2013","conferenceLocation":"San Diego, CA","language":"English","publisher":"SPIE","doi":"10.1117/12.2025290","usgsCitation":"Markham, B.L., Storey, J.C., and Irons, J.R., 2013, Landsat Data Continuity Mission, now Landsat-8: six months on-orbit, in SPIE 8866, Earth Observing Systems, v. 88661B, San Diego, CA, August 25, 2013, https://doi.org/10.1117/12.2025290.","ipdsId":"IP-050323","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":340100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88661B","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fb1a50e4b0c3010a8087dd","contributors":{"authors":[{"text":"Markham, Brian L.","contributorId":90482,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":519713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":519711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irons, James R.","contributorId":59284,"corporation":false,"usgs":false,"family":"Irons","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":519712,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70136386,"text":"70136386 - 2013 - Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model","interactions":[],"lastModifiedDate":"2015-01-05T09:46:02","indexId":"70136386","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model","docAbstract":"Winter cover crops are an effective conservation management practice with potential to improve water quality. Throughout the Chesapeake Bay Watershed (CBW), which is located in the Mid-Atlantic US, winter cover crop use has been emphasized and federal and state cost-share programs are available to farmers to subsidize the cost of winter cover crop establishment. The objective of this study was to assess the long-term effect of planting winter cover crops at the watershed scale and to identify critical source areas of high nitrate export. A physically-based watershed simulation model, Soil and Water Assessment Tool (SWAT), was calibrated and validated using water quality monitoring data and satellite-based estimates of winter cover crop species performance to simulate hydrological processes and nutrient cycling over the period of 1991–2000. Multiple scenarios were developed to obtain baseline information on nitrate loading without winter cover crops planted and to investigate how nitrate loading could change with different winter cover crop planting scenarios, including different species, planting times, and implementation areas. The results indicate that winter cover crops had a negligible impact on water budget, but significantly reduced nitrate leaching to groundwater and delivery to the waterways. Without winter cover crops, annual nitrate loading was approximately 14 kg ha−1, but it decreased to 4.6–10.1 kg ha−1 with winter cover crops resulting in a reduction rate of 27–67% at the watershed scale. Rye was most effective, with a potential to reduce nitrate leaching by up to 93% with early planting at the field scale. Early planting of winter cover crops (~30 days of additional growing days) was crucial, as it lowered nitrate export by an additional ~2 kg ha−1 when compared to late planting scenarios. The effectiveness of cover cropping increased with increasing extent of winter cover crop implementation. Agricultural fields with well-drained soils and those that were more frequently used to grow corn had a higher potential for nitrate leaching and export to the waterways. This study supports the effective implement of winter cover crop programs, in part by helping to target critical pollution source areas for winter cover crop implementation.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hessd-10-14229-2013","collaboration":"Department of Geographical Sciences, University of Maryland, College Park, MD; USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD; Dream it Do it Western New York, Jamestown, NY; USDA Forest Service, Northern Research Station, Beltsville, MD","usgsCitation":"Yeo, I., Lee, S., Sadeghi, A.M., Beeson, P.C., Hively, W., McCarty, G.W., and Lang, M.W., 2013, Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model: Hydrology and Earth System Sciences, v. 10, no. 11, p. 14229-14263, https://doi.org/10.5194/hessd-10-14229-2013.","productDescription":"35 p.","startPage":"14229","endPage":"14263","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056041","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474018,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hessd-10-14229-2013","text":"Publisher Index Page"},{"id":296981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay Watershed","volume":"10","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b3ce4b08de9379b32bf","contributors":{"authors":[{"text":"Yeo, In-Young","contributorId":131145,"corporation":false,"usgs":false,"family":"Yeo","given":"In-Young","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":537473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Sangchui","contributorId":131146,"corporation":false,"usgs":false,"family":"Lee","given":"Sangchui","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":537474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sadeghi, Ali M.","contributorId":131147,"corporation":false,"usgs":false,"family":"Sadeghi","given":"Ali","email":"","middleInitial":"M.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":537475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beeson, Peter C.","contributorId":131148,"corporation":false,"usgs":false,"family":"Beeson","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":7263,"text":"Dream it Do it Western New York, Jamestown, NY 14701","active":true,"usgs":false}],"preferred":false,"id":537476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hively, W. Dean whively@usgs.gov","contributorId":4919,"corporation":false,"usgs":true,"family":"Hively","given":"W. Dean","email":"whively@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":537472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCarty, Greg W.","contributorId":131149,"corporation":false,"usgs":false,"family":"McCarty","given":"Greg","email":"","middleInitial":"W.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":537477,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lang, Megan W.","contributorId":131150,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":7264,"text":"USDA Forest Service, Northern Research Station, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":537478,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70138191,"text":"70138191 - 2013 - Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?","interactions":[],"lastModifiedDate":"2015-01-15T11:45:59","indexId":"70138191","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?","docAbstract":"In the United States, estimation of flood frequency quantiles at ungauged locations has been largely based on regional regression techniques that relate measurable catchment descriptors to flood quantiles. More recently, spatial interpolation techniques of point data have been shown to be effective for predicting streamflow statistics (i.e., flood flows and low-flow indices) in ungauged catchments. Literature reports successful applications of two techniques, canonical kriging, CK (or physiographical-space-based interpolation, PSBI), and topological kriging, TK (or top-kriging). CK performs the spatial interpolation of the streamflow statistic of interest in the two-dimensional space of catchment descriptors. TK predicts the streamflow statistic along river networks taking both the catchment area and nested nature of catchments into account. It is of interest to understand how these spatial interpolation methods compare with generalized least squares (GLS) regression, one of the most common approaches to estimate flood quantiles at ungauged locations. By means of a leave-one-out cross-validation procedure, the performance of CK and TK was compared to GLS regression equations developed for the prediction of 10, 50, 100 and 500 yr floods for 61 streamgauges in the southeast United States. TK substantially outperforms GLS and CK for the study area, particularly for large catchments. The performance of TK over GLS highlights an important distinction between the treatments of spatial correlation when using regression-based or spatial interpolation methods to estimate flood quantiles at ungauged locations. The analysis also shows that coupling TK with CK slightly improves the performance of TK; however, the improvement is marginal when compared to the improvement in performance over GLS.
Topographic data are designed and widely used for base maps of diverse applications, yet the power of these information sources largely relies on the interpretive skills of map readers and relational database expert users once the data are in map or geographic information system (GIS) form. Advances in geospatial semantic technology offer data model alternatives for explicating concepts and articulating complex data queries and statements. To understand and enrich the vocabulary of topographic feature properties for semantic technology, English language spatial relation predicates were analyzed in three standard topographic feature glossaries. The analytical approach drew from disciplinary concepts in geography, linguistics, and information science. Five major classes of spatial relation predicates were identified from the analysis; representations for most of these are not widely available. The classes are: part-whole (which are commonly modeled throughout semantic and linked-data networks), geometric, processes, human intention, and spatial prepositions. These are commonly found in the ‘real world’ and support the environmental science basis for digital topographical mapping. The spatial relation concepts are based on sets of relation terms presented in this chapter, though these lists are not prescriptive or exhaustive. The results of this study make explicit the concepts forming a broad set of spatial relation expressions, which in turn form the basis for expanding the range of possible queries for topographical data analysis and mapping.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Cognitive and Linguistic Aspects of Geographic Space","language":"English","publisher":"Springer-Verlag Berlin Heidelberg","doi":"10.1007/978-3-642-34359-9_10","usgsCitation":"Varanka, D.E., and Caro, H.K., 2013, Spatial Relation Predicates in Topographic Feature Semantics, chap. of Cognitive and Linguistic Aspects of Geographic Space, p. 175-193, https://doi.org/10.1007/978-3-642-34359-9_10.","productDescription":"19","startPage":"175","endPage":"193","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020826","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":309988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-30","publicationStatus":"PW","scienceBaseUri":"56221fb5e4b06217fc47922b","contributors":{"authors":[{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":540224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caro, Holly K.","contributorId":59548,"corporation":false,"usgs":true,"family":"Caro","given":"Holly","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":577756,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155277,"text":"70155277 - 2013 - Blending local scale information for developing agricultural resilience in Ethiopia","interactions":[],"lastModifiedDate":"2017-03-27T11:23:28","indexId":"70155277","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Blending local scale information for developing agricultural resilience in Ethiopia","docAbstract":"This brief article looks at the intersection of climate, land cover/land use, and population trends in the world's most food insecure country, Ethiopia. As a result of warming in the Indian and Western Pacific oceans, Ethiopia has experienced substantial drying over the past 20 years. We intersect the spatial pattern of this drying with high resolution climatologies, maps of agricultural expansion, population data, and socioeconomic livelihoods information to suggest that the coincidence of drying and agricultural expansion in south-central Ethiopia is likely adversely affecting a densely populated region with high levels of poverty and low wage levels.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding and addressing threats to essential resources","language":"English","publisher":"Elsevier ","doi":"10.1016/B978-0-12-384703-4.00234-3","usgsCitation":"Funk, C.C., Husak, G., Mahiny, A., Eilerts, G., and Rowland, J., 2013, Blending local scale information for developing agricultural resilience in Ethiopia, chap. of Understanding and addressing threats to essential resources, p. 165-175, https://doi.org/10.1016/B978-0-12-384703-4.00234-3.","productDescription":"11 p. 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2013 - Spring migratory pathways and migration chronology of Canada geese (Branta canadensis interior) wintering at the Santee National Wildlife Refuge, South Carolina","interactions":[],"lastModifiedDate":"2020-12-23T14:14:31.829768","indexId":"70154988","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1163,"text":"Canadian Field-Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Spring migratory pathways and migration chronology of Canada geese (Branta canadensis interior) wintering at the Santee National Wildlife Refuge, South Carolina","docAbstract":"We assessed the migratory pathways, migration chronology, and breeding ground affiliation of Canada Geese (Branta canadensis interior) that winter in and adjacent to the Santee National Wildlife Refuge in Summerton, South Carolina, United States. Satellite transmitters were fitted to eight Canada Geese at Santee National Wildlife Refuge during the winter of 2009–2010. Canada Geese departed Santee National Wildlife Refuge between 5 and 7 March 2010. Six Canada Geese followed a route that included stopovers in northeastern North Carolina and western New York, with three of those birds completing spring migration to breeding grounds associated with the Atlantic Population (AP). The mean distance between stopover sites along this route was 417 km, the mean total migration distance was 2838 km, and the Canada Geese arrived on AP breeding grounds on the eastern shore of Hudson Bay between 20 and 24 May 2010. Two Canada Geese followed a different route from that described above, with stopovers in northeastern Ohio, prior to arriving on the breeding grounds on 9 June 2010. Mean distance between stopover sites was 402 and 365 km for these two birds, and total migration distance was 4020 and 3650 km. These data represent the first efforts to track migratory Canada Geese from the southernmost extent of their current wintering range in the Atlantic Flyway. We did not track any Canada Geese to breeding grounds associated with the Southern James Bay Population. Caution should be used in the interpretation of this finding, however, because of the small sample size. We demonstrated that migratory Canada Geese wintering in South Carolina use at least two migratory pathways and that an affiliation with the Atlantic Population breeding ground exists.
","language":"English","publisher":"The Canadian Field-Naturalist","doi":"10.22621/cfn.v127i1.1402","usgsCitation":"Giles, M.M., Jodice, P.G., Baldwin, R.F., Stanton, J.D., and Epstein, M., 2013, Spring migratory pathways and migration chronology of Canada geese (Branta canadensis interior) wintering at the Santee National Wildlife Refuge, South Carolina: Canadian Field-Naturalist, v. 127, no. 1, p. 17-25, https://doi.org/10.22621/cfn.v127i1.1402.","productDescription":"9 p.","startPage":"17","endPage":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038246","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22621/cfn.v127i1.1402","text":"Publisher Index Page"},{"id":381611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Santee National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.53665161132812,\n 33.4738357141558\n ],\n [\n -80.53665161132812,\n 33.56199537293026\n ],\n [\n -80.4473876953125,\n 33.56199537293026\n ],\n [\n -80.4473876953125,\n 33.4738357141558\n ],\n [\n -80.53665161132812,\n 33.4738357141558\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-14","publicationStatus":"PW","scienceBaseUri":"55b0beafe4b09a3b01b530a5","contributors":{"authors":[{"text":"Giles, Molly M.","contributorId":145797,"corporation":false,"usgs":false,"family":"Giles","given":"Molly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":565331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":564467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Robert F.","contributorId":96415,"corporation":false,"usgs":true,"family":"Baldwin","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":565332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanton, John D.","contributorId":145798,"corporation":false,"usgs":false,"family":"Stanton","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":565333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Epstein, Marc","contributorId":145799,"corporation":false,"usgs":false,"family":"Epstein","given":"Marc","email":"","affiliations":[],"preferred":false,"id":565334,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148073,"text":"70148073 - 2013 - Demography and population status of polar bears in western Hudson Bay","interactions":[],"lastModifiedDate":"2016-08-16T14:07:46","indexId":"70148073","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Demography and population status of polar bears in western Hudson Bay","docAbstract":"Climate cycling during the Quaternary played a critical role in the diversification of avian lineages in North America, greatly influencing the genetic characteristics of contemporary populations. To test the hypothesis that North American Northern Goshawks (Accipitergentilis) were historically isolated within multiple Late Pleistocene refugia, we assessed diversity and population genetic structure as well as migration rates and signatures of historical demography using mitochondrial control-region data. On the basis of sampling from 24 locales, we found that Northern Goshawks were genetically structured across a large portion of their North American range. Long-term population stability, combined with strong genetic differentiation, suggests that Northern Goshawks were historically isolated within at least three refugial populations representing two regions: the Pacific (CascadesSierra-Vancouver Island) and the Southwest (Colorado Plateau and Jemez Mountains). By contrast, populations experiencing significant growth were located in the Southeast Alaska-British Columbia, Arizona Sky Islands, Rocky Mountains, Great Lakes, and Appalachian bioregions. In the case of Southeast Alaska-British Columbia, Arizona Sky Islands, and Rocky Mountains, Northern Goshawks likely colonized these regions from surrounding refugia. The near fixation for several endemic haplotypes in the Arizona Sky Island Northern Goshawks (A. g apache) suggests long-term isolation subsequent to colonization. Likewise, Great Lakes and Appalachian Northern Goshawks differed significantly in haplotype frequencies from most Western Northern Goshawks, which suggests that they, too, experienced long-term isolation prior to a more recent recolonization of eastern U.S. forests.
","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2013.12120","usgsCitation":"Bayard De Volo, S., Reynolds, R.T., Sonsthagen, S.A., Talbot, S.L., and Antolin, M.F., 2013, Phylogeography, post-glacial gene flow, and population history of North American goshawks (Accipeter gentilis): The Auk, v. 130, no. 2, p. 342-354, https://doi.org/10.1525/auk.2013.12120.","productDescription":"13 p.","startPage":"342","endPage":"354","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044035","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296573,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":474041,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2013.12120","text":"Publisher Index Page"}],"country":"United States","volume":"130","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54897cbfe4b027aeab78129d","contributors":{"authors":[{"text":"Bayard De Volo, Shelley","contributorId":127814,"corporation":false,"usgs":false,"family":"Bayard De Volo","given":"Shelley","email":"","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":526915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Richard T. 0000-0002-5193-786X","orcid":"https://orcid.org/0000-0002-5193-786X","contributorId":105393,"corporation":false,"usgs":false,"family":"Reynolds","given":"Richard","middleInitial":"T.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":526916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","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":526861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Antolin, Michael F.","contributorId":85469,"corporation":false,"usgs":false,"family":"Antolin","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":526917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70142504,"text":"70142504 - 2013 - NDVI saturation adjustment: a new approach for improving cropland performance estimates in the Greater Platte River Basin, USA","interactions":[],"lastModifiedDate":"2017-01-18T11:51:16","indexId":"70142504","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"NDVI saturation adjustment: a new approach for improving cropland performance estimates in the Greater Platte River Basin, USA","docAbstract":"In this study, we developed a new approach that adjusted normalized difference vegetation index (NDVI) pixel values that were near saturation to better characterize the cropland performance (CP) in the Greater Platte River Basin (GPRB), USA. The relationship between NDVI and the ratio vegetation index (RVI) at high NDVI values was investigated, and an empirical equation for estimating saturation-adjusted NDVI (NDVIsat_adjust) based on RVI was developed. A 10-year (2000–2009) NDVIsat_adjust data set was developed using 250-m 7-day composite historical eMODIS (expedited Moderate Resolution Imaging Spectroradiometer) NDVI data. The growing season averaged NDVI (GSN), which is a proxy for ecosystem performance, was estimated and long-term NDVI non-saturation- and saturation-adjusted cropland performance (CPnon_sat_adjust, CPsat_adjust) maps were produced over the GPRB. The final CP maps were validated using National Agricultural Statistics Service (NASS) crop yield data. The relationship between CPsat_adjust and the NASS average corn yield data (r = 0.78, 113 samples) is stronger than the relationship between CPnon_sat_adjust and the NASS average corn yield data (r = 0.67, 113 samples), indicating that the new CPsat_adjust map reduces the NDVI saturation effects and is in good agreement with the corn yield ground observations. Results demonstrate that the NDVI saturation adjustment approach improves the quality of the original GSN map and better depicts the actual vegetation conditions of the GPRB cropland systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2013.01.041","usgsCitation":"Gu, Y., Wylie, B.K., Howard, D., Phuyal, K.P., and Ji, L., 2013, NDVI saturation adjustment: a new approach for improving cropland performance estimates in the Greater Platte River Basin, USA: Ecological Indicators, v. 30, p. 1-6, https://doi.org/10.1016/j.ecolind.2013.01.041.","productDescription":"6 p.","startPage":"1","endPage":"6","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038440","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska, South Dakota, Wyoming","otherGeospatial":"Greater Platte River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.8193359375,\n 38.71980474264239\n ],\n [\n -109.8193359375,\n 43.992814500489914\n ],\n [\n -95.9326171875,\n 43.992814500489914\n ],\n [\n -95.9326171875,\n 38.71980474264239\n ],\n [\n -109.8193359375,\n 38.71980474264239\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54faddbae4b02419550db6dd","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":541930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Daniel M. 0000-0002-7563-7538 dhoward@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":4431,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","email":"dhoward@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phuyal, Khem P.","contributorId":28517,"corporation":false,"usgs":true,"family":"Phuyal","given":"Khem","email":"","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541933,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"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":70192508,"text":"70192508 - 2013 - Seasonal variation in age-specific movement patterns of red drum Sciaenops ocellatus inferred from conventional tagging and telemetry","interactions":[],"lastModifiedDate":"2017-11-28T14:41:46","indexId":"70192508","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesNumber":"SEDAR 18-RD54","title":"Seasonal variation in age-specific movement patterns of red drum Sciaenops ocellatus inferred from conventional tagging and telemetry","docAbstract":"We used 25 years of conventional tagging (n = 6173 recoveries) and 3 years of ultrasonic telemetry data (n = 105 transmitters deployed) to examine movement rates and directional preferences of four age classes of red drum Sciaenops ocellatus in North Carolina. Movement rates of tagged red drum were dependent on the age, region, and season of tagging. Age-1 and age-2 red drum tagged along the coast generally moved along the coast, while fish tagged in oligohaline waters far from the coast were primarily recovered in coastal regions in fall months. Adult (age-4+) red drum moved from overwintering grounds on the continental shelf through inlets into Pamlico Sound in spring and summer months and departed in fall. Few tagged red drum were recovered in adjacent states (0.6% of all recoveries); however, some adult red drum migrated seasonally from overwintering grounds in coastal North Carolina northward to Virginia in spring, returning in fall. Telemetered age-2 red drum displayed seasonal emigration from a small tributary, but upstream and downstream movements within the tributary were correlated with fluctuating salinity regimes and not season. Large-scale tagging and telemetry programs can provide valuable insights into the complex movement patterns of estuarine fish.
","language":"English","publisher":"SouthEast Data, Assessment, and Review","usgsCitation":"Bacheler, N.M., Paramore, L.M., Burdick, S.M., Buckel, J.A., and Hightower, J.E., 2013, Seasonal variation in age-specific movement patterns of red drum Sciaenops ocellatus inferred from conventional tagging and telemetry, 42 p.","productDescription":"42 p.","ipdsId":"IP-012460","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349483,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sedarweb.org/s18rd54-seasonal-variation-age-specific-movement-patterns-red-drum-sciaenops-ocellatus-inferred"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254ce","contributors":{"authors":[{"text":"Bacheler, Nathan M.","contributorId":34403,"corporation":false,"usgs":true,"family":"Bacheler","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":723900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paramore, Lee M.","contributorId":104368,"corporation":false,"usgs":true,"family":"Paramore","given":"Lee","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":723901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":723902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckel, Jeffery A.","contributorId":42872,"corporation":false,"usgs":true,"family":"Buckel","given":"Jeffery","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":716097,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193552,"text":"70193552 - 2013 - A statistical analysis of the global historical volcanic fatalities record","interactions":[],"lastModifiedDate":"2019-03-26T09:00:05","indexId":"70193552","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"A statistical analysis of the global historical volcanic fatalities record","docAbstract":"A new database of volcanic fatalities is presented and analysed, covering the period 1600 to 2010 AD. Data are from four sources: the Smithsonian Institution, Witham (2005), CRED EM-DAT and Munich RE. The data were combined and formatted, with a weighted average fatality figure used where more than one source reports an event; the former two databases were weighted twice as strongly as the latter two. More fatal incidents are contained within our database than similar previous works; approximately 46% of the fatal incidents are listed in only one of the four sources, and fewer than 10% are in all four. 278,880 fatalities are recorded in the database, resultant from 533 fatal incidents. The fatality count is dominated by a handful of disasters, though the majority of fatal incidents have caused fewer than ten fatalities. Number and empirical probability of fatalities are broadly correlated with VEI, but are more strongly influenced by population density around volcanoes and the occurrence and extent of lahars (mudflows) and pyroclastic density currents, which have caused 50% of fatalities. Indonesia, the Philippines, and the West Indies dominate the spatial distribution of fatalities, and there is some negative correlation between regional development and number of fatalities. With the largest disasters removed, over 90% of fatalities occurred between 5 km and 30 km from volcanoes, though the most devastating eruptions impacted far beyond these distances. A new measure, the Volcano Fatality Index, is defined to explore temporal changes in societal vulnerability to volcanic hazards. The measure incorporates population growth and recording improvements with the fatality data, and shows prima facie evidence that vulnerability to volcanic hazards has fallen during the last two centuries. Results and interpretations are limited in scope by the underlying fatalities data, which are affected by under-recording, uncertainty, and bias. Attempts have been made to estimate the extent of these issues, and to remove their effects where possible.
The data analysed here are provided as supplementary material. An updated version of the Smithsonian fatality database fully integrated with this database will be publicly available in the near future and subsequently incorporate new data.
","language":"English","publisher":"Springer","doi":"10.1186/2191-5040-2-2","usgsCitation":"Auker, M.R., Sparks, R.S., Siebert, L., Crosweller, H.S., and Ewert, J.W., 2013, A statistical analysis of the global historical volcanic fatalities record: Journal of Applied Volcanology, v. 2, p. 1-24, https://doi.org/10.1186/2191-5040-2-2.","productDescription":"Article 2, 24 p.","startPage":"1","endPage":"24","ipdsId":"IP-042423","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2191-5040-2-2","text":"Publisher Index Page"},{"id":348076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-14","publicationStatus":"PW","scienceBaseUri":"59fc2eafe4b0531197b28003","contributors":{"authors":[{"text":"Auker, Melanie Rose","contributorId":149572,"corporation":false,"usgs":false,"family":"Auker","given":"Melanie","email":"","middleInitial":"Rose","affiliations":[],"preferred":false,"id":719488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sparks, Robert Stephen John","contributorId":199575,"corporation":false,"usgs":false,"family":"Sparks","given":"Robert","email":"","middleInitial":"Stephen John","affiliations":[],"preferred":false,"id":719489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siebert, Lee","contributorId":29898,"corporation":false,"usgs":true,"family":"Siebert","given":"Lee","affiliations":[],"preferred":false,"id":719490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crosweller, H. S.","contributorId":149560,"corporation":false,"usgs":false,"family":"Crosweller","given":"H.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":719491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ewert, John W. 0000-0003-2819-4057 jwewert@usgs.gov","orcid":"https://orcid.org/0000-0003-2819-4057","contributorId":642,"corporation":false,"usgs":true,"family":"Ewert","given":"John","email":"jwewert@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719492,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189203,"text":"70189203 - 2013 - Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system","interactions":[],"lastModifiedDate":"2018-09-18T10:41:28","indexId":"70189203","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3069,"text":"Physics and Chemistry of the Earth, Parts A/B/C","active":true,"publicationSubtype":{"id":10}},"title":"Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system","docAbstract":"This work demonstrates how available knowledge can be used to build more transparent and refutable computer models of groundwater systems. The Death Valley regional groundwater flow system, which surrounds a proposed site for a high level nuclear waste repository of the United States of America, and the Nevada National Security Site (NNSS), where nuclear weapons were tested, is used to explore model adequacy, identify parameters important to (and informed by) observations, and identify existing old and potential new observations important to predictions. Model development is pursued using a set of fundamental questions addressed with carefully designed metrics. Critical methods include using a hydrogeologic model, managing model nonlinearity by designing models that are robust while maintaining realism, using error-based weighting to combine disparate types of data, and identifying important and unimportant parameters and observations and optimizing parameter values with computationally frugal schemes. The frugal schemes employed in this study require relatively few (10–1000 s), parallelizable model runs. This is beneficial because models able to approximate the complex site geology defensibly tend to have high computational cost. The issue of model defensibility is particularly important given the contentious political issues involved.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.pce.2013.03.006","usgsCitation":"Hill, M.C., Faunt, C., Belcher, W., Sweetkind, D.S., Tiedeman, C.R., and Kavetski, D., 2013, Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system: Physics and Chemistry of the Earth, Parts A/B/C, v. 64, p. 105-116, https://doi.org/10.1016/j.pce.2013.03.006.","productDescription":"12 p.","startPage":"105","endPage":"116","ipdsId":"IP-041690","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Death Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118,\n 35.5\n ],\n [\n -115,\n 35.5\n ],\n [\n -115,\n 38\n ],\n [\n -118,\n 38\n ],\n [\n -118,\n 35.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595dfab8e4b0d1f9f056a7ae","contributors":{"authors":[{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":703473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belcher, Wayne wbelcher@usgs.gov","contributorId":1759,"corporation":false,"usgs":true,"family":"Belcher","given":"Wayne","email":"wbelcher@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":703476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796 dsweetkind@usgs.gov","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":139913,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald","email":"dsweetkind@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":703474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":703508,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kavetski, Dmitri","contributorId":194182,"corporation":false,"usgs":false,"family":"Kavetski","given":"Dmitri","email":"","affiliations":[],"preferred":false,"id":703477,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70189198,"text":"70189198 - 2013 - Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams","interactions":[],"lastModifiedDate":"2017-07-05T17:08:05","indexId":"70189198","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3721,"text":"Water Resources Management","onlineIssn":"1573-1650","printIssn":"0920-4741","active":true,"publicationSubtype":{"id":10}},"title":"Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams","docAbstract":"Manning’s roughness coefficient (n) has been widely used in the estimation of flood discharges or depths of flow in natural channels. Therefore, the selection of appropriate Manning’s nvalues is of paramount importance for hydraulic engineers and hydrologists and requires considerable experience, although extensive guidelines are available. Generally, the largest source of error in post-flood estimates (termed indirect measurements) is due to estimates of Manning’s n values, particularly when there has been minimal field verification of flow resistance. This emphasizes the need to improve methods for estimating n values. The objective of this study was to develop a soft computing model in the estimation of the Manning’s n values using 75 discharge measurements on 21 high gradient streams in Colorado, USA. The data are from high gradient (S > 0.002 m/m), cobble- and boulder-bed streams for within bank flows. This study presents Gene-Expression Programming (GEP), an extension of Genetic Programming (GP), as an improved approach to estimate Manning’s roughness coefficient for high gradient streams. This study uses field data and assessed the potential of gene-expression programming (GEP) to estimate Manning’s n values. GEP is a search technique that automatically simplifies genetic programs during an evolutionary processes (or evolves) to obtain the most robust computer program (e.g., simplify mathematical expressions, decision trees, polynomial constructs, and logical expressions). Field measurements collected by Jarrett (J Hydraulic Eng ASCE 110: 1519–1539, 1984) were used to train the GEP network and evolve programs. The developed network and evolved programs were validated by using observations that were not involved in training. GEP and ANN-RBF (artificial neural network-radial basis function) models were found to be substantially more effective (e.g., R2 for testing/validation of GEP and RBF-ANN is 0.745 and 0.65, respectively) than Jarrett’s (J Hydraulic Eng ASCE 110: 1519–1539, 1984) equation (R2 for testing/validation equals 0.58) in predicting the Manning’s n.
","language":"English","publisher":"Springer","doi":"10.1007/s11269-012-0211-1","usgsCitation":"Azamathulla, H., and Jarrett, R.D., 2013, Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams: Water Resources Management, v. 27, no. 3, p. 715-729, https://doi.org/10.1007/s11269-012-0211-1.","productDescription":"15 p.","startPage":"715","endPage":"729","ipdsId":"IP-023452","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-27","publicationStatus":"PW","scienceBaseUri":"595dfab8e4b0d1f9f056a7b2","contributors":{"authors":[{"text":"Azamathulla, H.","contributorId":194211,"corporation":false,"usgs":false,"family":"Azamathulla","given":"H.","email":"","affiliations":[],"preferred":false,"id":703509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarrett, Robert D. rjarrett@usgs.gov","contributorId":2260,"corporation":false,"usgs":true,"family":"Jarrett","given":"Robert","email":"rjarrett@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":703510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188866,"text":"70188866 - 2013 - Overcoming the momentum of anachronism: American geologic mapping in a twenty-first-century world","interactions":[],"lastModifiedDate":"2017-06-27T10:04:18","indexId":"70188866","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Overcoming the momentum of anachronism: American geologic mapping in a twenty-first-century world","docAbstract":"The practice of geologic mapping is undergoing conceptual and methodological transformation. Profound changes in digital technology in the past 10 yr have potential to impact all aspects of geologic mapping. The future of geologic mapping as a relevant scientific enterprise depends on widespread adoption of new technology and ideas about the collection, meaning, and utility of geologic map data. It is critical that the geologic community redefine the primary elements of the traditional paper geologic map and improve the integration of the practice of making maps in the field and office with the new ways to record, manage, share, and visualize their underlying data. A modern digital geologic mapping model will enhance scientific discovery, meet elevated expectations of modern geologic map users, and accommodate inevitable future changes in technology.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/2013.2502(05)","usgsCitation":"House, K., Clark, R., and Kopera, J., 2013, Overcoming the momentum of anachronism: American geologic mapping in a twenty-first-century world: GSA Special Papers, v. 502, p. 103-125, https://doi.org/10.1130/2013.2502(05).","productDescription":"23 p.","startPage":"103","endPage":"125","ipdsId":"IP-044938","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"502","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eafe4b062508e3c7ab9","contributors":{"authors":[{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Ryan","contributorId":193538,"corporation":false,"usgs":false,"family":"Clark","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":700747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kopera, Joe","contributorId":193537,"corporation":false,"usgs":false,"family":"Kopera","given":"Joe","email":"","affiliations":[],"preferred":false,"id":700746,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70188335,"text":"70188335 - 2013 - Establishing an operational waterhole monitoring system using satellite data and hydrologic modelling: Application in the pastoral regions of East Africa","interactions":[],"lastModifiedDate":"2017-06-06T13:38:58","indexId":"70188335","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5413,"text":"Pastoralism: Research, Policy and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Establishing an operational waterhole monitoring system using satellite data and hydrologic modelling: Application in the pastoral regions of East Africa","docAbstract":"Timely information on the availability of water and forage is important for the sustainable development of pastoral regions. The lack of such information increases the dependence of pastoral communities on perennial sources, which often leads to competition and conflicts. The provision of timely information is a challenging task, especially due to the scarcity or non-existence of conventional station-based hydrometeorological networks in the remote pastoral regions. A multi-source water balance modelling approach driven by satellite data was used to operationally monitor daily water level fluctuations across the pastoral regions of northern Kenya and southern Ethiopia. Advanced Spaceborne Thermal Emission and Reflection Radiometer data were used for mapping and estimating the surface area of the waterholes. Satellite-based rainfall, modelled run-off and evapotranspiration data were used to model daily water level fluctuations. Mapping of waterholes was achieved with 97% accuracy. Validation of modelled water levels with field-installed gauge data demonstrated the ability of the model to capture the seasonal patterns and variations. Validation results indicate that the model explained 60% of the observed variability in water levels, with an average root-mean-squared error of 22%. Up-to-date information on rainfall, evaporation, scaled water depth and condition of the waterholes is made available daily in near-real time via the Internet (http://watermon.tamu.edu). Such information can be used by non-governmental organizations, governmental organizations and other stakeholders for early warning and decision making. This study demonstrated an integrated approach for establishing an operational waterhole monitoring system using multi-source satellite data and hydrologic modelling.
","language":"English","publisher":"Springer","doi":"10.1186/2041-7136-3-20","usgsCitation":"Senay, G., Velpuri, N.M., Alemu, H., Pervez, S., Asante, K.O., Karuki, G., Taa, A., and Angerer, J., 2013, Establishing an operational waterhole monitoring system using satellite data and hydrologic modelling: Application in the pastoral regions of East Africa: Pastoralism: Research, Policy and Practice, v. 3, p. 1-16, https://doi.org/10.1186/2041-7136-3-20.","productDescription":"Article 20; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-049147","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2041-7136-3-20","text":"Publisher Index Page"},{"id":342154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 33,\n -0\n ],\n [\n 42.0556640625,\n -0\n ],\n [\n 42.0556640625,\n 9\n ],\n [\n 33,\n 9\n ],\n [\n 33,\n -0\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5937bf30e4b0f6c2d0d9c7a0","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":152206,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","email":"senay@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":697260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alemu, Henok","contributorId":124527,"corporation":false,"usgs":false,"family":"Alemu","given":"Henok","email":"","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":697262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pervez, Shahriar Md 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":192362,"corporation":false,"usgs":true,"family":"Pervez","given":"Shahriar Md","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":697263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Asante, Kwabena O 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":192649,"corporation":false,"usgs":true,"family":"Asante","given":"Kwabena","email":"","middleInitial":"O","affiliations":[],"preferred":true,"id":697264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karuki, Gatarwa","contributorId":192650,"corporation":false,"usgs":false,"family":"Karuki","given":"Gatarwa","email":"","affiliations":[],"preferred":false,"id":697265,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taa, Asefa","contributorId":192651,"corporation":false,"usgs":false,"family":"Taa","given":"Asefa","email":"","affiliations":[],"preferred":false,"id":697266,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Angerer, Jay","contributorId":172794,"corporation":false,"usgs":false,"family":"Angerer","given":"Jay","email":"","affiliations":[],"preferred":false,"id":697267,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}