A method for quantifying the role of dynamic storage as a physical buffer between snowmelt and streamflow at the catchment scale is introduced in this paper. The method describes a quantitative relation between hydrologic events (e.g., snowmelt) and responses (e.g., streamflow) by generating event-response ellipses that can be used to (a) characterize and compare catchment-scale dynamic storage processes, and (b) assess the closure of the water balance. Event-response ellipses allow for the role of dynamic, short-term storage to be quantified and compared between seasons and between catchments. This method is presented as an idealization of the system: a time series of a snowmelt event as a portion of a sinusoidal wave function. The event function is then related to a response function, which is the original event function modified mathematically through phase and magnitude shifts to represent the streamflow response. The direct relation of these two functions creates an event-response ellipse with measurable characteristics (e.g., eccentricity, angle). The ellipse characteristics integrate the timing and magnitude difference between the hydrologic event and response to quantify physical buffering through dynamic storage. Next, method is applied to eleven snowmelt seasons in two well-instrumented headwater snowmelt-dominated catchments with known differences in storage capacities. Results show the time-period average daily values produce different event-response ellipse characteristics for the two catchments. Event-response ellipses were also generated for individual snowmelt seasons; however, these annual applications of the method show more scatter relative to the time period averaged values. The event-response ellipse method provides a method to compare and evaluate the connectivity between snowmelt and streamflow as well as assumptions of water balance.
","language":"English","publisher":"MDPI","doi":"10.3390/w10121824","usgsCitation":"Driscoll, J.M., Meixner, T., Molotch, N.P., Ferre, T.P., Williams, M.W., and Sickman, J.O., 2018, Event-response ellipses: A method to quantify and compare the role of dynamic storage at the catchment scale in snowmelt-dominated systems: Water, v. 10, no. 12, p. 1-17, https://doi.org/10.3390/w10121824.","productDescription":"Article 1824; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-096914","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w10121824","text":"Publisher Index Page"},{"id":361982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Driscoll, Jessica M. 0000-0003-3097-9603 jdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0003-3097-9603","contributorId":167585,"corporation":false,"usgs":true,"family":"Driscoll","given":"Jessica","email":"jdriscoll@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":759101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meixner, Thomas","contributorId":22653,"corporation":false,"usgs":false,"family":"Meixner","given":"Thomas","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":759102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Molotch, Noah P. 0000-0003-4733-8060","orcid":"https://orcid.org/0000-0003-4733-8060","contributorId":203466,"corporation":false,"usgs":false,"family":"Molotch","given":"Noah","email":"","middleInitial":"P.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":759103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferre, Ty P. A.","contributorId":214081,"corporation":false,"usgs":false,"family":"Ferre","given":"Ty","email":"","middleInitial":"P. A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":759104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Mark W.","contributorId":214082,"corporation":false,"usgs":false,"family":"Williams","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":38977,"text":"University of Colorado at Boulder","active":true,"usgs":false}],"preferred":false,"id":759105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sickman, James O.","contributorId":214083,"corporation":false,"usgs":false,"family":"Sickman","given":"James","email":"","middleInitial":"O.","affiliations":[{"id":38978,"text":"University of California at Riverside","active":true,"usgs":false}],"preferred":false,"id":759106,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204195,"text":"70204195 - 2018 - Estimates of abundance and longevity of Bridled Quail-Doves (Geotrygon mystacea) on Guana Island, British Virgin Islands","interactions":[],"lastModifiedDate":"2019-07-11T14:35:05","indexId":"70204195","displayToPublicDate":"2018-12-01T14:32:50","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Estimates of abundance and longevity of Bridled Quail-Doves (Geotrygon mystacea) on Guana Island, British Virgin Islands","docAbstract":"The Bridled Quail-Dove (Geotrygon mystacea) is a columbiform resident of the eastern Caribbean. It is a poorly studied species with a lack of quantitative data to assess population status, but perceived population declines have led to it being considered a species of conservation concern on many islands. I attempted to assess population size and survival of Bridled Quail-Doves on Guana Island, British Virgin Islands. Based on detection probability, density estimates for Guana Island ranged from 1.38 to 1.57 individuals/ha in 2014 and 2015, respectively. Densities varied among cover type, with an estimated 1.13 individuals/ha in dry forest (90% of the island) and 4.63 individuals/ha in ghaut forest (5% of the island). These values would translate to a pooled estimate of ∼429 individuals during the survey period. Of 36 Bridled Quail-Doves captured and marked, the naïve estimate of annual survival was 0.813, with 0.36 captured individuals surviving at least 1 year, and the average minimum age at last recapture was 4.9 years old. This report is the first quantitative based estimates of population size and longevity for the species and may serve as a starting point for longer-term studies on Guana Island, but also for comparison to populations on other islands.
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advanced applications in remote sensing of agricultural crops and natural vegetation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","doi":"10.1201/9780429431166-15","usgsCitation":"Thenkabail, P.S., Lyon, J.G., and Huete, A., 2018, Fifty-years of advances in hyperspectral remote sensing of agriculture and vegetation-Summary, insights, and highlights of Volume IV, chap. 15 of Advanced applications in remote sensing of agricultural crops and natural vegetation, p. 339-378, https://doi.org/10.1201/9780429431166-15.","productDescription":"40 p.","startPage":"339","endPage":"378","ipdsId":"IP-098619","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":360928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":755254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyon, John G.","contributorId":211929,"corporation":false,"usgs":false,"family":"Lyon","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":38361,"text":"Former Professor of the Ohio State University","active":true,"usgs":false}],"preferred":false,"id":755255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo","contributorId":211930,"corporation":false,"usgs":false,"family":"Huete","given":"Alfredo","affiliations":[{"id":38362,"text":"University of Technology, Sydney, Australia","active":true,"usgs":false}],"preferred":false,"id":755256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201757,"text":"70201757 - 2018 - Fifty years of advances in hyperspectral remote sensing of agriculture and vegetation—Summary, insights, and highlights of volume II","interactions":[],"lastModifiedDate":"2021-04-26T14:14:10.595306","indexId":"70201757","displayToPublicDate":"2018-12-01T14:22:33","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Fifty years of advances in hyperspectral remote sensing of agriculture and vegetation—Summary, insights, and highlights of volume II","docAbstract":"No abstract available.
The goal of this summary chapter is twofold. The first is to provide the reader an overview of the content of the preceding chapters. This they can read at the very beginning, before moving on to individual chapters in detail. Alternatively, they may read it at the very end to refresh their memory and to summarize the contents of the Volume. Second, this summary provides the editors’ perspective, bringing in their rich collective experience and expertise to guide the reader. We have kept the summaries brief and illustrative, so that the reader can quickly gather essential initial knowledge and guidance. The in-depth details can be found in the individual chapters.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biophysical and biochemical characterization and plant species studies","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor and Francis","doi":"10.1201/9780429431180-11","usgsCitation":"Thenkabail, P.S., Lyon, J.G., and Huete, A., 2018, Fifty-years of advances in hyperspectral remote sensing of agriculture and vegetation: Summary, insights, and highlights of volume III, chap. 11 of Biophysical and biochemical characterization and plant species studies, p. 303-341, https://doi.org/10.1201/9780429431180-11.","productDescription":"39 p.","startPage":"303","endPage":"341","ipdsId":"IP-098618","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":360926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":755251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyon, John G.","contributorId":211929,"corporation":false,"usgs":false,"family":"Lyon","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":38361,"text":"Former Professor of the Ohio State University","active":true,"usgs":false}],"preferred":false,"id":755252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo","contributorId":211930,"corporation":false,"usgs":false,"family":"Huete","given":"Alfredo","affiliations":[{"id":38362,"text":"University of Technology, Sydney, Australia","active":true,"usgs":false}],"preferred":false,"id":755253,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201794,"text":"70201794 - 2018 - Which geologic factors control permeability development in geothermal systems? The geologic structure of Dixie Valley","interactions":[],"lastModifiedDate":"2019-02-01T14:09:59","indexId":"70201794","displayToPublicDate":"2018-12-01T14:09:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Which geologic factors control permeability development in geothermal systems? The geologic structure of Dixie Valley","docAbstract":"Geothermal systems occur where subsurface permeability and temperature are sufficiently high to drive fluid circulation. In the Great Basin region of the United States, which hosts ~20% of domestic geothermal electricity generation capacity and much of the projected undeveloped and undiscovered resource, crustal heat flow is relatively high, so permeability is the dominant factor controlling the occurrence or absence of a geothermal system. In the most general sense, fracture permeability along faults and/or networks of interconnected faults and fractures serves as a pathway for fluids upwelling from depth. Within the Great Basin, Dixie Valley hosts an anomalously high number of geothermal systems. It is unclear whether this relatively dense collection of systems is associated with regional strain or structural patterns, local structural or geological characteristics, basin hydrogeology, or some other factors. The relatively rich data-set available for Dixie Valley, and the well-studied nature of the area affords the opportunity to characterize the geologic and lithologic factors that control permeability development at the local scale. There are at least eleven distinct geothermal systems in Dixie Valley, NV. We utilize a wealth of existing data, which have been collected over several decades, to assess the geologic controls on geothermal fluid upwelling in these systems.","language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Siler, D.L., and Glen, J.M., 2018, Which geologic factors control permeability development in geothermal systems? The geologic structure of Dixie Valley: Geothermal Resources Council Transactions, v. 42.","ipdsId":"IP-099144","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":360924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360819,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1033935"}],"volume":"42","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":755392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M. G. jglen@usgs.gov","contributorId":1753,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M. G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":755393,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201800,"text":"70201800 - 2018 - New data yield new geologic insights at the Fallon FORGE site, Carson Sink Region, Nevada","interactions":[],"lastModifiedDate":"2019-02-01T14:08:34","indexId":"70201800","displayToPublicDate":"2018-12-01T14:08:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"New data yield new geologic insights at the Fallon FORGE site, Carson Sink Region, Nevada","docAbstract":"The geologic structure beneath the Fallon Frontier Observatory for Research in Geothermal Energy (FORGE) site represents a record of the Mesozoic through Cenozoic tectonism, volcanism, and sedimentation that has affected the Carson Sink local to Fallon, NV. A robust dataset confirms that the lithologic sequence consists of Quaternary through Miocene sedimentary and volcanic rocks resting non-conformably on Mesozoic crystalline basement. The basement consists of four lithologic units; 1) Triassic-Jurassic low-to-medium grade meta-rhyolites, 2) Jurassic low-to-medium grade quartzites and other metamorphosed marine sedimentary rocks, and 3) Jurassic low-to-medium grade meta-basalt and -basaltic-andesite lavas, all intruded by 4) Jurassic-Cretaceous quartz monzonite. The geologic section dips ~20-25° west, tilting that was accommodated by a predominant system of north-to-north-northeast striking, east and west moderately-to-steeply dipping normal faults. The above, relatively broad-scale characteristics of the geologic framework of the Fallon site have been developed throughout the ~3 year duration of the project. With the collection of new data and re-analysis of existing data in Phase 2B of the Fallon FORGE project, our detailed understanding of the relatively finer-scale aspects of the geologic framework, including aspects of the stratigraphic sequence and the locations and attitudes of individual faults have evolved and an updated 3D geologic map has been developed. Here, we compare the Phase 1 3D geologic map to the Phase 2B 3D geologic map and demonstrate the evolution of our understanding of the geologic framework of the Fallon site and the value of the new data that was collected in Phase 2B in developing this updated framework.","language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Siler, D.L., Faulds, J., Glen, J.M., and Witter, J., 2018, New data yield new geologic insights at the Fallon FORGE site, Carson Sink Region, Nevada: Geothermal Resources Council Transactions, v. 42.","ipdsId":"IP-099145","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":360923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360827,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1033929"}],"volume":"42","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":755404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faulds, James E.","contributorId":211978,"corporation":false,"usgs":false,"family":"Faulds","given":"James E.","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":755405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glen, Jonathan M. G. jglen@usgs.gov","contributorId":1753,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M. G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":755884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Witter, Jeffrey B.","contributorId":211980,"corporation":false,"usgs":false,"family":"Witter","given":"Jeffrey B.","affiliations":[{"id":38375,"text":"Innovate Geothermal Ltd","active":true,"usgs":false}],"preferred":false,"id":755408,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201802,"text":"70201802 - 2018 - 2D and 3D potential field mapping and modelling at the Fallon FORGE site, Nevada, USA","interactions":[],"lastModifiedDate":"2019-02-01T14:06:05","indexId":"70201802","displayToPublicDate":"2018-12-01T14:05:55","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"2D and 3D potential field mapping and modelling at the Fallon FORGE site, Nevada, USA","docAbstract":"Accurate geological characterization of Fallon FORGE is important for preparing the site as an EGS laboratory. As part of this effort, a 3D geologic map was constructed previously from well logs, surface geologic mapping, 2D seismic profiles, interpreted gravity & magnetic maps, and a gravity-inferred basement surface. In this study, we have conducted both 2D and 3D modelling of high-resolution gravity and magnetic data (pre-existing and new) in an effort to further refine and test this 3D geologic map at Fallon. This effort enabled a direct comparison of the 2D and 3D model results. Potential field modelling was guided by rock-property measurements of samples from drill-core and outcrop from the Fallon area. In total, five 2D potential field model profiles, up to 30 km in length, were constructed that extend across the Fallon area. The 3D gravity model volume was 8 km (N-S) x 8 km (E-W) x 4 km (thick). The majority of the 3D gravity model volume had 100 m cubic cells; but cells near the land surface were 1 m thick to adequately capture topography. Overall, the 2D & 3D geophysical modelling largely confirmed the previously constructed 3D geologic map at Fallon for three reasons: 1) lithologic boundaries in the 2D & 3D density models mostly agree with those in the 3D geologic map, 2) the rock properties used in the models lie within the range of independent measurements made on representative rock samples from the region, and 3) the match between the observed and calculated anomalies are largely within the measurement error of the observed fields. In places where the geophysical and geologic models differ, geophysical model results have revealed subsurface structural features that have helped refine geologic interpretations which, in turn, lead to adjustments to the 3D geologic map. In this paper, we present the 2D & 3D geophysical model results and discuss how they were utilized to confirm and refine our 3D geologic understanding of the Fallon FORGE site.","language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Witter, J.B., Glen, J.M., Siler, D.L., and Fournier, D., 2018, 2D and 3D potential field mapping and modelling at the Fallon FORGE site, Nevada, USA: Geothermal Resources Council Transactions, v. 42.","ipdsId":"IP-099142","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":360922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360828,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1033973"}],"volume":"42","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Witter, Jeffrey B.","contributorId":211984,"corporation":false,"usgs":false,"family":"Witter","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[{"id":38376,"text":"Innovate Geothermal","active":true,"usgs":false}],"preferred":false,"id":755418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M. G. jglen@usgs.gov","contributorId":1753,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M. G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":755416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":755417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fournier, Dominique","contributorId":211985,"corporation":false,"usgs":false,"family":"Fournier","given":"Dominique","email":"","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":755419,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201731,"text":"70201731 - 2018 - Quantifying uncertainty in Sr/Ca-based estimates of SST from the coral Orbicella faveolata","interactions":[],"lastModifiedDate":"2019-01-28T13:47:59","indexId":"70201731","displayToPublicDate":"2018-12-01T13:47:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Quantifying uncertainty in Sr/Ca-based estimates of SST from the coral Orbicella faveolata","title":"Quantifying uncertainty in Sr/Ca-based estimates of SST from the coral Orbicella faveolata","docAbstract":"The strontium to calcium ratio (Sr/Ca) in aragonitic skeletons of massive corals provides a proxy for sea surface temperature (SST) that can be used to reconstruct paleoclimates across decades, centuries, and, potentially, millennia. Determining the reproducibility of Sr/Ca records among contemporaneous coral colonies from the same region is critical to quantifying uncertainties associated with the Sr/Ca‐SST proxy. We evaluated both intracolony and intercolony variability in Sr/Ca using five modern colonies of Orbicella faveolata collected live from the Dry Tortugas National Park, FL. We regressed all available Sr/Ca‐SST data pairs from the five O. faveolata colonies against the Advanced Very High Resolution Radiometer gridded SST data set to produce a new Sr/Ca‐SST calibration equation (Sr/Ca = −0.049 × SST + 10.460), which we suggest can be applied to O. faveolatacolonies collected throughout the Gulf of Mexico/Caribbean region. We estimated total uncertainty by calculating the root‐mean‐square of the intracolony, intercolony, and analytical error terms. Our (1σ) uncertainty estimates of 0.082 mmol/mol (1.66 °C) for subannual Sr/Ca‐SST and 0.070 mmol/mol (1.43 °C) for mean annual Sr/Ca‐SST represent conservative error terms that can be applied to individual data points in single‐colony Sr/Ca‐SST reconstructions. We illustrate how these uncertainties can be significantly reduced by generating multicolony reconstructions and/or through replication of sampling within individual coral colonies. Although the uncertainties on absolute Sr/Ca‐based SST are likely too large to allow researchers to evaluate subdecadal temperature variability, we show that the O. faveolata paleothermometer can reliably detect changes of ~2 °C across decadal timescales and ~1 °C over multidecadal timescales.
","language":"English","publisher":"AGU","doi":"10.1029/2018PA003389","usgsCitation":"Flannery, J.A., Richey, J.N., Toth, L., Kuffner, I.B., and Poore, R.Z., 2018, Quantifying uncertainty in Sr/Ca-based estimates of SST from the coral Orbicella faveolata: Paleoceanography and Paleoclimatology, v. 33, no. 9, p. 958-973, https://doi.org/10.1029/2018PA003389.","productDescription":"16 p.","startPage":"958","endPage":"973","ipdsId":"IP-088292","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":360753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-15","publicationStatus":"PW","scienceBaseUri":"5c5022c5e4b0708288f7e81b","contributors":{"authors":[{"text":"Flannery, Jennifer A. 0000-0002-1692-2662 jflannery@usgs.gov","orcid":"https://orcid.org/0000-0002-1692-2662","contributorId":4317,"corporation":false,"usgs":true,"family":"Flannery","given":"Jennifer","email":"jflannery@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":755046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":755047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":755049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":755048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":147454,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":755151,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201575,"text":"70201575 - 2018 - Land mollusks of the California Channel Islands: An overview of diversity, populations, and conservation status","interactions":[],"lastModifiedDate":"2020-12-16T16:16:07.072337","indexId":"70201575","displayToPublicDate":"2018-12-01T13:44:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Land mollusks of the California Channel Islands: An overview of diversity, populations, and conservation status","docAbstract":"The land snails and slugs have the highest level of endemism among all major animal groups on the California Channel Islands, with nearly 75% of the native terrestrial species confined to one or more of the 8 islands. In spite of this endemism, and in spite of the rarity of some species, the snails and slugs are one of the most poorly known groups. We present the first comprehensive overview of the land mollusk fauna of the Channel Islands, along with the results of recent intensive inventory studies. Surveys on San Clemente Island have increased the number of land mollusk species known from that island by 50%, and a single survey trip to Santa Rosa Island more than doubled the number of species known on that island. More additions to the land snail and slug fauna are certain for the poorly surveyed northern Channel Islands. This new information has provided insight into trends in species diversity and biogeographic patterns, with marked differences in species composition between the northern and southern islands. Our surveys to date suggest a strong link between the recovery of native vegetation on the islands and the population status of land snails and slugs, with substantially larger numbers of native mollusks on those islands that have been free of nonnative mammals the longest. Survey work is continuing, but it is clear that some very rare endemic snails and slugs on the islands merit specific management attention.
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.078.0419","usgsCitation":"Drost, C.A., Nekola, J.C., Roth, B., and Pearce, T.A., 2018, Land mollusks of the California Channel Islands: An overview of diversity, populations, and conservation status: Western North American Naturalist, v. 78, no. 4, p. 799-810, https://doi.org/10.3398/064.078.0419.","productDescription":"12 p.","startPage":"799","endPage":"810","ipdsId":"IP-088858","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488968,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol78/iss4/29","text":"External Repository"},{"id":360479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.3282470703125,\n 32.79651010951669\n ],\n [\n -118.27880859375001,\n 33.37641235124676\n ],\n [\n -118.5369873046875,\n 33.52307880890422\n ],\n [\n -119.5147705078125,\n 34.102707993174874\n ],\n [\n -120.531005859375,\n 34.08906131584994\n ],\n [\n -120.3277587890625,\n 33.85673152928873\n ],\n [\n -119.54223632812501,\n 33.17434155100208\n ],\n [\n -118.4051513671875,\n 32.7503226078097\n ],\n [\n -118.3282470703125,\n 32.79651010951669\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1a1532e4b0708288c23523","contributors":{"authors":[{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":754466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nekola, Jeffrey C.","contributorId":26214,"corporation":false,"usgs":false,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":754467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roth, Barry","contributorId":211600,"corporation":false,"usgs":false,"family":"Roth","given":"Barry","email":"","affiliations":[{"id":38271,"text":"San Francisco, CA 94117, barry_roth@yahoo.com","active":true,"usgs":false}],"preferred":false,"id":754468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearce, Timothy A.","contributorId":211601,"corporation":false,"usgs":false,"family":"Pearce","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":38272,"text":"Carnegie Museum of Natural History, Pittsburgh, PA 15213, PearceT@carnegiemnh.org","active":true,"usgs":false}],"preferred":false,"id":754469,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201700,"text":"70201700 - 2018 - Building a response network to investigate potential pathogens associated with unionid mortality events","interactions":[],"lastModifiedDate":"2020-12-15T22:37:43.071724","indexId":"70201700","displayToPublicDate":"2018-12-01T13:41:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1492,"text":"Ellipsaria","active":true,"publicationSubtype":{"id":10}},"title":"Building a response network to investigate potential pathogens associated with unionid mortality events","docAbstract":"Unexplained mortality events have confounded the mussel conservation community for over 30 years. While the effects of chemical pollutants and environmental factors have been examined, few investigations have focused on the identification of potential mussel pathogens. Consequently, very little is known regarding the impact that pathogens have on freshwater mussel health, especially as they pertain to propagation efforts. There are several barriers that have hindered progress in the study of freshwater mussel disease, one of which is lack of appropriate diagnostic tools, and another is lack of guidance for field personnel regarding sampling procedures and laboratory contacts.
","language":"English","publisher":"Freshwater Mollusk Conservation Society","usgsCitation":"Leis, E., Waller, D.L., Knowles, S., Goldberg, T., Putnam, J.G., Richard, J., Erickson, S., Blevins, E., and Weinzinger, J., 2018, Building a response network to investigate potential pathogens associated with unionid mortality events: Ellipsaria, v. 20, no. 4, p. 44-45.","productDescription":"2 p.","startPage":"44","endPage":"45","ipdsId":"IP-103320","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":361031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360686,"type":{"id":15,"text":"Index Page"},"url":"https://molluskconservation.org/Ellipsaria-archive.html"}],"volume":"20","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leis, Eric","contributorId":179325,"corporation":false,"usgs":false,"family":"Leis","given":"Eric","affiliations":[],"preferred":false,"id":754894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":754893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":754895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldberg, Tony","contributorId":211788,"corporation":false,"usgs":false,"family":"Goldberg","given":"Tony","affiliations":[{"id":38319,"text":"UW Madison","active":true,"usgs":false}],"preferred":false,"id":754896,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Putnam, Joel G. 0000-0002-5464-4587 jgputnam@usgs.gov","orcid":"https://orcid.org/0000-0002-5464-4587","contributorId":5783,"corporation":false,"usgs":true,"family":"Putnam","given":"Joel","email":"jgputnam@usgs.gov","middleInitial":"G.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":754901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richard, Jordan","contributorId":211789,"corporation":false,"usgs":false,"family":"Richard","given":"Jordan","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":754897,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erickson, Sarah","contributorId":211790,"corporation":false,"usgs":false,"family":"Erickson","given":"Sarah","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":754898,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blevins, Emilie","contributorId":211792,"corporation":false,"usgs":false,"family":"Blevins","given":"Emilie","email":"","affiliations":[{"id":38320,"text":"Xerxes Society, OR","active":true,"usgs":false}],"preferred":false,"id":754900,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weinzinger, Jesse","contributorId":211791,"corporation":false,"usgs":false,"family":"Weinzinger","given":"Jesse","email":"","affiliations":[{"id":38155,"text":"WI DNR","active":true,"usgs":false}],"preferred":false,"id":754899,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70202343,"text":"70202343 - 2018 - Characteristics of tropical tree species in hyperspectral and multispectral data","interactions":[],"lastModifiedDate":"2020-11-05T16:13:36.591228","indexId":"70202343","displayToPublicDate":"2018-12-01T13:41:44","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Characteristics of tropical tree species in hyperspectral and multispectral data","docAbstract":"Remote sensing has been hailed as a promising technology to provide spatially explicit information on tree species distribution. Such information is of high value for ecologists and forest managers, particularly in tropical environments in which it is acquired by costly field inventories performed at the plot level (∼1 ha). Over the last decade, hyperspectral sensors, usually on board airborne platforms, have been successfully employed for tropical tree species classification. Most of the studies focused on the improvement of the classification accuracy, without examining the sources of variability in canopy reflectance that contribute to discriminate among species. Trees of different species usually feature distinct crown structural and chemical characteristics defined by size, shape, leaf density, branching, pigment and nonpigment biochemical constituents, among others. Understanding the role of these characteristics on tree species discrimination is important to improve and optimize the use of hyperspectral data. Here, we show how spectral characteristics of tree species, from highly diverse tropical forests, are related to their chemical and structural properties. These spectral characteristics were retrieved by spectral mixture and feature analysis, using narrow-band data acquired in the optical domain (450–2400 nm). Finally, we assessed how the spectral resolution affects the classification accuracy and spectral separability.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biophysical and biochemical characterization and plant species studies","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9780429431180-8","usgsCitation":"Pinheiro Ferreira, M., Hummel do Amaral, C., Vaglio Laurin, G., Kokaly, R.F., Roberto de Souza Filho, C., and Edemir Shimabukuro, Y., 2018, Characteristics of tropical tree species in hyperspectral and multispectral data, chap. 8 of Biophysical and biochemical characterization and plant species studies, 21 p., https://doi.org/10.1201/9780429431180-8.","productDescription":"21 p.","ipdsId":"IP-095891","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":361655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":758615,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":758616,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Huete, Alfredo 0000-0003-2809-2376","orcid":"https://orcid.org/0000-0003-2809-2376","contributorId":208294,"corporation":false,"usgs":false,"family":"Huete","given":"Alfredo","email":"","affiliations":[],"preferred":false,"id":758617,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Pinheiro Ferreira, Matheus","contributorId":213521,"corporation":false,"usgs":false,"family":"Pinheiro Ferreira","given":"Matheus","email":"","affiliations":[{"id":38773,"text":"National Institute for Space Research, Brazil","active":true,"usgs":false}],"preferred":false,"id":757937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hummel do Amaral, Cibele","contributorId":213522,"corporation":false,"usgs":false,"family":"Hummel do Amaral","given":"Cibele","email":"","affiliations":[{"id":38774,"text":"Universidade Federal de Viçosa (UFV), Brazil","active":true,"usgs":false}],"preferred":false,"id":757938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaglio Laurin, Gaia","contributorId":213523,"corporation":false,"usgs":false,"family":"Vaglio Laurin","given":"Gaia","email":"","affiliations":[{"id":38775,"text":"Tuscia University, Italy","active":true,"usgs":false}],"preferred":false,"id":757939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101 raymond@usgs.gov","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":150717,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"raymond@usgs.gov","middleInitial":"F.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":757936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberto de Souza Filho, Carlos","contributorId":213524,"corporation":false,"usgs":false,"family":"Roberto de Souza Filho","given":"Carlos","email":"","affiliations":[{"id":38776,"text":"University of Campinas, Brazil","active":true,"usgs":false}],"preferred":false,"id":757940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edemir Shimabukuro, Yosio","contributorId":213525,"corporation":false,"usgs":false,"family":"Edemir Shimabukuro","given":"Yosio","email":"","affiliations":[{"id":38773,"text":"National Institute for Space Research, Brazil","active":true,"usgs":false}],"preferred":false,"id":757941,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202344,"text":"70202344 - 2018 - Fractured rock environments","interactions":[],"lastModifiedDate":"2019-03-01T13:37:11","indexId":"70202344","displayToPublicDate":"2018-12-01T13:37:01","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fractured rock environments","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Groundwater: State of the science and practive","language":"English","publisher":"National Ground Water Association","usgsCitation":"Hsieh, P.A., 2018, Fractured rock environments, chap. of Groundwater: State of the science and practive.","ipdsId":"IP-100654","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":361653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361652,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://my.ngwa.org/NC__Product?id=a183800000TMc8yAAD"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":757942,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70201688,"text":"70201688 - 2018 - Hourly analyses of the large storms and atmospheric rivers that provide most of California's precipitation in only 10 to 100 hours per year","interactions":[],"lastModifiedDate":"2018-12-21T13:29:21","indexId":"70201688","displayToPublicDate":"2018-12-01T13:29:16","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Hourly analyses of the large storms and atmospheric rivers that provide most of California's precipitation in only 10 to 100 hours per year","docAbstract":"California is regularly impacted by floods and droughts, primarily as a result of too many or too few atmospheric rivers (ARs). This study analyzes a two-decade-long hourly precipitation dataset from 176 California weather stations and a 3-hourly AR chronology to report variations in rainfall events across California and their association with ARs. On average, 10-40 and 60-120 hours of rainfall in southern and northern California, respectively, are responsible for more than half of annual rainfall accumulations. Approximately 10-30% of annual precipitation at locations across the state is from only one large storm. On average, northern California receives 25-45 rainfall events annually (40-50% of which are AR-related). These events typically have longer durations and higher event-precipitation totals than those in southern California. Northern California also receives more AR landfalls with longer durations and stronger Integrated Vapor Transport (IVT). On average, ARs contribute 79%, 76%, and 68% of extreme-rainfall accumulations (i.e., top 5% events annually) in the north coast, northern Sierra, and Transverse Ranges of southern California, respectively.
The San Francisco Bay Area terrain gap in the California Coast Range allows more AR water vapor to reach inland over the Delta and Sacramento Valley, and thus, influences precipitation in the Delta’s catchment. This is particularly important for extreme precipitation in the northern Sierra Nevada, including river basins above Oroville Dam and Shasta Dam.
This study highlights differences between rainfall and AR characteristics in coastal versus inland northern California, differences that largely determine the regional geography of flood risks and water-reliability. These analyses support water resource, flood, levee, wetland, and ecosystem management within the catchment of the San Francisco estuary system by describing regional characteristics of ARs and their influence on rainfall on an hourly timescale.
","language":"English","publisher":"University of California","doi":"10.15447/sfews.2018v16iss4art1","usgsCitation":"Lamjiri, M.A., Dettinger, M.D., Ralph, F.M., Oakley, N.S., and Rutz, J.J., 2018, Hourly analyses of the large storms and atmospheric rivers that provide most of California's precipitation in only 10 to 100 hours per year: San Francisco Estuary and Watershed Science, v. 16, no. 4, p. 1-17, https://doi.org/10.15447/sfews.2018v16iss4art1.","productDescription":"Article 1; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-095473","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":468214,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2018v16iss4art1","text":"Publisher Index Page"},{"id":360681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Unfortunately, identifying locations where such efforts are safer from climatic shifts is still challenging. We aimed to provide a method to approximate these potential habitat shifts for similar data- and research-limited contexts. We modeled the relationship between climate and the potential distribution of native biomes across the Hawaiian archipelago to provide a first approximation of potential native biome shifts under end-of-century projected climate. Our correlative model circumvents the lack of data necessary for the parameterization of mechanistic vegetation models in isolated and data-poor islands. We identified locations consistently expected to remain the same in terms of the native biome compatibility by the end of the century with a robust evaluation of sources of uncertainty in our projections. 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\"}}]}","volume":"27","issue":"12","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":757820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":757821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201803,"text":"70201803 - 2018 - Discovery of a blind geothermal system in Southern Gabbs Valley, western Nevada, through application of the play fairway analysis at multiple scales","interactions":[],"lastModifiedDate":"2019-01-31T12:52:50","indexId":"70201803","displayToPublicDate":"2018-12-01T12:52:44","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Discovery of a blind geothermal system in Southern Gabbs Valley, western Nevada, through application of the play fairway analysis at multiple scales","docAbstract":"The Great Basin region is capable of generating much greater amounts of geothermal energy than currently produced. Most geothermal resources in this region are blind, and thus favorable characteristics for geothermal activity must be synthesized and methodologies developed to discover new commercial-grade systems. The geothermal play fairway concept involves integration of multiple parameters indicative of geothermal activity to identify promising areas for new development. In the Nevada play fairway project, geologic, geochemical, and geophysical parameters were initially synthesized to produce a new geothermal potential map of 96,000 km2. Southern Gabbs Valley in western Nevada is a particularly promising site selected for detailed study. It contains favorable structural settings, including Quaternary fault intersections and a displacement transfer zone. Geologic, geophysical, and geochemical techniques were employed to define the most likely sites for high permeability and select targets for temperature-gradient holes. Permeability models were revised to reflect results of detailed analyses and generate new detailed play fairway maps. The most promising site lies in an area of multiple fault intersections in a broader displacement transfer zone directly north of the Petrified Springs dextral fault, as revealed by gravity, magnetic, and MT data. A 2-m temperature anomaly and warm temperature gradient wells (~120oC at ~150 m depth) confirm the presence of a geothermal system and provide initial validation of the play fairway methodology. The system is blind, with no surface hot springs, fumaroles, or paleo-geothermal deposits. Lessons learned in the detailed studies include: 1) initially identified sites commonly include multiple favorable settings at a finer scale; 2) promising sites in Cenozoic basins cannot be recognized without detailed geophysical surveys; and 3) play fairway analysis is critical at multiple scales.","language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Faulds, J., Craig, J.W., Hinz, N.H., Coolbaugh, M.F., Glen, J.M., Earney, T.E., Schermerhorn, W.D., Peacock, J., Deoreo, S.B., and Siler, D.L., 2018, Discovery of a blind geothermal system in Southern Gabbs Valley, western Nevada, through application of the play fairway analysis at multiple scales: Geothermal Resources Council Transactions, v. 42.","ipdsId":"IP-099803","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":360871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360829,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1033921"}],"volume":"42","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Faulds, James","contributorId":200793,"corporation":false,"usgs":false,"family":"Faulds","given":"James","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":755421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Craig, Jason W.","contributorId":211986,"corporation":false,"usgs":false,"family":"Craig","given":"Jason","email":"","middleInitial":"W.","affiliations":[{"id":38377,"text":"University of Nevada, Reno, Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":755422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinz, Nicholas H.","contributorId":211979,"corporation":false,"usgs":false,"family":"Hinz","given":"Nicholas","email":"","middleInitial":"H.","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":755423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coolbaugh, Mark F.","contributorId":211987,"corporation":false,"usgs":false,"family":"Coolbaugh","given":"Mark","email":"","middleInitial":"F.","affiliations":[{"id":38378,"text":"University of Nevada, Reno, Nevada Bureau of Mines and Geology, ATLAS geosciences","active":true,"usgs":false}],"preferred":false,"id":755424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glen, Jonathan M. jglen@usgs.gov","contributorId":193556,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":755556,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Earney, Tait E. 0000-0002-1504-0457","orcid":"https://orcid.org/0000-0002-1504-0457","contributorId":210080,"corporation":false,"usgs":true,"family":"Earney","given":"Tait","email":"","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":755427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schermerhorn, William D. 0000-0002-0167-378X","orcid":"https://orcid.org/0000-0002-0167-378X","contributorId":210081,"corporation":false,"usgs":true,"family":"Schermerhorn","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":755428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":755426,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Deoreo, Stephen B.","contributorId":212095,"corporation":false,"usgs":false,"family":"Deoreo","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":755557,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":755420,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70201286,"text":"70201286 - 2018 - Evaluating riparian vegetation change in canyon-bound reaches of the Colorado River using spatially extensive matched photo sets","interactions":[],"lastModifiedDate":"2018-12-10T12:49:01","indexId":"70201286","displayToPublicDate":"2018-12-01T12:48:53","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Evaluating riparian vegetation change in canyon-bound reaches of the Colorado River using spatially extensive matched photo sets","docAbstract":"Much of what we know about the functional ecology of aquatic and riparian ecosystems comes from work on regulated rivers (Johnson et al. 2012). What little we know about unregulated conditions on many of our larger rivers is often inferred from recollections of individuals, personal diaries, notes, maps, and collections from early scientific surveys (Webb et al. 2007) and from repeat photography (Turner and Karpiscak 1980; Webb 1996). Later surveys often included photographs typically taken at specific and relatively few locations. Because rivers and their related riparian ecosystems vary in both longitudinal and lateral dimensions, such records provide relatively general and incomplete information about historical resource conditions, especially at large spatial scales and over long spans of time.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Riparian research and management: Past, present, future: Volume 1 (General Technical Report RMRS-GTR-377)","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","doi":"10.2737/RMRS-GTR-377-CHAP9","usgsCitation":"Scott, M.L., Webb, R., Johnson, R.R., Turner, R.M., Friedman, J.M., and Fairley, H.C., 2018, Evaluating riparian vegetation change in canyon-bound reaches of the Colorado River using spatially extensive matched photo sets, chap. of Riparian research and management: Past, present, future: Volume 1 (General Technical Report RMRS-GTR-377), p. 148-173, https://doi.org/10.2737/RMRS-GTR-377-CHAP9.","productDescription":"26 p.","startPage":"148","endPage":"173","ipdsId":"IP-073114","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2737/rmrs-gtr-377-chap9","text":"Publisher Index Page"},{"id":360105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114,\n 35.75\n ],\n [\n -111,\n 35.75\n ],\n [\n -111,\n 37.5\n ],\n [\n -114,\n 37.5\n ],\n [\n -114,\n 35.75\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0f897be4b0c53ecb2c71f6","contributors":{"authors":[{"text":"Scott, Michael L.","contributorId":204827,"corporation":false,"usgs":false,"family":"Scott","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":753486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":753487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, R. Roy","contributorId":211262,"corporation":false,"usgs":false,"family":"Johnson","given":"R.","email":"","middleInitial":"Roy","affiliations":[],"preferred":false,"id":753488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Raymond M.","contributorId":211263,"corporation":false,"usgs":false,"family":"Turner","given":"Raymond","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":753489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":753485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":753490,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201275,"text":"70201275 - 2018 - Ontogenetic changes in swimming speed of silver carp, bighead carp, and grass carp larvae: implications for larval dispersal","interactions":[],"lastModifiedDate":"2018-12-10T12:43:46","indexId":"70201275","displayToPublicDate":"2018-12-01T12:43:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Ontogenetic changes in swimming speed of silver carp, bighead carp, and grass carp larvae: implications for larval dispersal","docAbstract":"Bighead, silver, and grass carps are invasive in the waterways of central North America, and grass carp reproduction in tributaries of the Great Lakes has now been documented. Questions about recruitment potential motivate a need for accurate models of egg and larval dispersal. Quantitative data on swimming behaviors and capabilities during early ontogeny are needed to improve these dispersal models. We measured ontogenetic changes in routine and maximum swimming speeds of bighead, grass, and silver carp larvae. Daily measurements of routine swimming speed were taken for two weeks post-hatch using a still camera and the LARVEL program, a custom image-analysis software. Larval swimming speed was calculated using larval locations in subsequent image frames and time between images. Using an endurance chamber, we determined the maximum swimming speed of larvae (post-gas bladder inflation) for four to eight weeks post-hatch. For all species, larval swimming speeds showed similar trends with respect to ontogeny: increases in maximum speed, and decreases in routine speed. Maximum speeds of bighead and grass carp larvae were similar and generally faster than silver carp larvae. Routine swimming speeds of all larvae were highest before gas bladder inflation, most likely because gas bladder inflation allowed the fish to maintain position without swimming. Downward vertical velocities of pre-gas bladder inflation fish were faster than upward velocities. Among the three species, grass carp larvae had the highest swimming speeds in the pre-gas bladder inflation period, and the lowest speeds in the post-gas bladder inflation period. Knowledge of swimming capability of these species, along with hydraulic characteristics of a river, enables further refinement of models of embryonic and larval drift.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.5869","usgsCitation":"George, A.E., Garcia, T., Stahlschmidt, B.H., and Chapman, D., 2018, Ontogenetic changes in swimming speed of silver carp, bighead carp, and grass carp larvae: implications for larval dispersal: PeerJ, v. 6, e5869; 18 p., https://doi.org/10.7717/peerj.5869.","productDescription":"e5869; 18 p.","ipdsId":"IP-088251","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":460799,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.5869","text":"Publisher Index Page"},{"id":437665,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WH2NW4","text":"USGS data release","linkHelpText":"Ontogenetic changes in swimming speed of silver carp, bighead carp, and grass carp larvae-Data"},{"id":360104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-02","publicationStatus":"PW","scienceBaseUri":"5c0f897be4b0c53ecb2c71fa","contributors":{"authors":[{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Tatiana 0000-0002-1979-7246 tgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-1979-7246","contributorId":140327,"corporation":false,"usgs":true,"family":"Garcia","given":"Tatiana","email":"tgarcia@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stahlschmidt, Benjamin H. 0000-0001-6197-662X","orcid":"https://orcid.org/0000-0001-6197-662X","contributorId":211250,"corporation":false,"usgs":true,"family":"Stahlschmidt","given":"Benjamin","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":753506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202223,"text":"70202223 - 2018 - Accounting for surveyor effort in large-scale monitoring programs","interactions":[],"lastModifiedDate":"2019-02-15T12:37:10","indexId":"70202223","displayToPublicDate":"2018-12-01T12:37:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for surveyor effort in large-scale monitoring programs","docAbstract":"Accounting for errors in wildlife surveys is necessary for reliable status assessments and quantification of uncertainty in estimates of population size. We apply a hierarchical log-linear Poisson regression model that accounts for multiple sources of variability in count data collected for the Integrated Waterbird Management and Monitoring Program during 2010–2014. In some large-scale monitoring programs (e.g., Christmas Bird Count) there are diminishing returns in numbers counted as survey effort increases; therefore, we also explore the need to account for variable survey duration as a proxy for effort. In general, we found a high degree of concordance between counts and effort-adjusted estimates of relative abundance from the Integrated Waterbird Management and Monitoring Program (x̄difference = 0.02%; 0.25% SD). We suggest that the model-based adjustments were small because there is only a weak asymptotic relationship with effort and count. Whereas effort adjustments are reasonable and effective when applied to count data from plots of standardized area, such adjustments may not be necessary when the area of sample units is not standardized and surveyor effort increases with number of birds present. That is, large units require more effort only when there are many birds present. The general framework we implemented to evaluate effects of varying survey effort applies to a wide variety of wildlife monitoring efforts.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/022018-JFWM-012","usgsCitation":"Aagaard, K., Lyons, J.E., and Thogmartin, W.E., 2018, Accounting for surveyor effort in large-scale monitoring programs: Journal of Fish and Wildlife Management, v. 9, no. 2, p. 459-466, https://doi.org/10.3996/022018-JFWM-012.","productDescription":"8 p.","startPage":"459","endPage":"466","ipdsId":"IP-079755","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468218,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/022018-jfwm-012","text":"Publisher Index Page"},{"id":361285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Aagaard, Kevin 0000-0003-0756-2172 kaagaard@usgs.gov","orcid":"https://orcid.org/0000-0003-0756-2172","contributorId":147393,"corporation":false,"usgs":true,"family":"Aagaard","given":"Kevin","email":"kaagaard@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":757318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757319,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202937,"text":"70202937 - 2018 - Navigating the field of decision analysis","interactions":[],"lastModifiedDate":"2020-12-15T21:21:00.802366","indexId":"70202937","displayToPublicDate":"2018-12-01T12:36:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5682,"text":"Decision Point Online","active":true,"publicationSubtype":{"id":10}},"title":"Navigating the field of decision analysis","docAbstract":"Managers, policy makers, and decision makers with responsibility for environmental decisions have an extraordinarily difficult job. The systems they manage are complex (coupled human-natural systems), with many dimensions and complicated dynamics. Our knowledge of how those systems respond to management actions is often limited, so many of the decisions have to be made in the face of uncertainty.\n\nThe field of decision analysis provides a comprehensive set of tools for structuring, analyzing, and making decisions. Arising initially as a way to understand and manage risk, the field has expanded in the last 80 years to cover such topics as multipleobjective trade-offs, time-dependent linked decisions, the value of information, and competition among multiple decision makers. At the same time, cognitive psychologists and behavioural economists have studied human decisions to understand when our innate processes work and when they fail.\n\nFormal decision analysis is increasingly being used in many sectors, including economic, industrial, manufacturing, agricultural, transportation, and medical sectors, by individuals, corporations, non-profits, and government agencies. Occasional application of decision analysis to environmental decisions began in the mid-1970s, but the environmental science and management world was largely unaware of decision analysis until the late 1990s and early 2000s. (A major aim of the ARC Centre of Excellence for Environmental Decisions – CEED –\nwas to better connect decision analysis and environmental management).\n\nToday, the field of environmental decision analysis is coming of age with the maturation of a rich set of tools to help decision makers frame, analyze, and implement decisions. Sometimes\nthe wealth of tools is daunting, but there are core principles that tie decision analysis together. To help the reader navigate this complexity, we summarize the field of decision analysis in four key messages.","language":"English","publisher":"Centre of Excellence for Environmental Decisions","usgsCitation":"Runge, M.C., and McDonald-Madden, E., 2018, Navigating the field of decision analysis: Decision Point Online, no. 107, p. 4-11.","productDescription":"8 p.","startPage":"4","endPage":"11","ipdsId":"IP-103022","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":362837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362821,"type":{"id":15,"text":"Index Page"},"url":"https://decision-point.com.au/article/navigating-the-field-of-decision-analysis-2/"}],"issue":"107","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald-Madden, Eve","contributorId":139968,"corporation":false,"usgs":false,"family":"McDonald-Madden","given":"Eve","email":"","affiliations":[{"id":13337,"text":"CSIRO Ecosystem Services, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":760552,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202763,"text":"70202763 - 2018 - Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Nicolet Unit","interactions":[],"lastModifiedDate":"2019-04-01T15:55:55","indexId":"70202763","displayToPublicDate":"2018-12-01T12:31:27","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":138,"text":"Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"004-2","title":"Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Nicolet Unit","docAbstract":"No abstract available.
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However, because large sediment pulses are rare and usually unanticipated, they are seldom studied at field scale. We examine fluvial response to a massive (~20 Mt) sediment pulse released by the largest dam removal globally, on the Elwha River, Washington, United States, in an 11‐year before‐after/control‐impact study of channel morphology and grain size. We test the hypothesis that for a given flow magnitude, greater geomorphic change occurs under sediment‐rich conditions than under sediment‐starved conditions. Channel response to flow forcing was significantly different during the sediment‐pulse peak, 1–2 years after dam removal began, than earlier or later. During peak sediment supply our hypothesis was supported; major geomorphic change occurred under low flows and unit stream power ≤60 W/m2. However, by 4–6 years after dam removal began, rates of geomorphic change and sensitivity to stream power had decreased substantially such that our hypothesis was no longer unequivocally supported. These findings are consistent with a two‐phase conceptual model of dam‐removal response, involving a transport‐limited state followed by a more supply‐limited state. From comparisons with other dam removals and natural sediment pulses, we infer that the longevity of sediment‐pulse signals in gravel‐bed rivers depends upon gradient, river discharge, valley morphology, and sediment grain size. Stream power associated with substantial geomorphic change varies with sediment supply, such that assigning a general threshold stream power to gravel‐bed rivers may be untenable.
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