{"pageNumber":"491","pageRowStart":"12250","pageSize":"25","recordCount":46658,"records":[{"id":70139974,"text":"70139974 - 2015 - Discussion and Review of “Seismology of the Oso-Steelhead landslide” by Hibert, Stark, and Ekstrom","interactions":[],"lastModifiedDate":"2019-08-13T12:43:41","indexId":"70139974","displayToPublicDate":"2014-12-05T12:39:04","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Discussion and Review of “Seismology of the Oso-Steelhead landslide” by Hibert, Stark, and Ekstrom","docAbstract":"In this study, Hibert et al. use the seismic waves generated by the disastrous 22 March 2014 landslide near Oso, Washington to investigate the dynamics of the event by combining long-period source inversions and short period analysis. Overall the paper is concise and well written and takes an innovative approach by integrating both high- and low-frequency seismic data together in the interpretation. It also demonstrates the useful prospect of resolving a trajectory of the center of mass of the landslide from a few traces of noisy seismic data. \n\nHowever, the main point of discussion that I would like to address stems from differences between the findings by Hibert et al. and the findings of a recently published multidisciplinary paper on the Oso landslide (Iverson et al., 2015). I am a co-author on the paper and performed the seismic analysis, which was similar to that of Hibert et al., yet the interpretation of how the event unfolded differs significantly between the two papers. In my opinion, this stems largely from a difference in information, some of which Hibert et al. unfortunately did not have access to prior to submission because it was just published in Iverson et al. (2015). However, differences also seem to stem from technical details of the methods and data used. Typically, such details are only of interest to seismologists, but in this case they make a substantial difference in understanding how the event unfolded and how it became so disastrous. For that reason, they are worthy of discussion here.\n\nThe crux of the difference lies in two points 1) Iverson et al. (2015) found a multi-stage initiation of the main event, while Hibert et al. did not and 2) Iverson et al. (2015) found the second high-frequency event to be from a significantly smaller debris fall whereas Hibert et al. estimate it to be a substantial mass. I detail these two points below, then follow with an additional comment regarding the trajectory estimation made by Hibert et al. and some minor comments.","language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-15-1265-2015","usgsCitation":"Allstadt, K.E., 2015, Discussion and Review of “Seismology of the Oso-Steelhead landslide” by Hibert, Stark, and Ekstrom: Natural Hazards and Earth System Sciences, p. C3274-C3283, https://doi.org/10.5194/nhess-15-1265-2015.","productDescription":"10 p.","startPage":"C3274","endPage":"C3283","ipdsId":"IP-062755","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-15-1265-2015","text":"Publisher Index Page"},{"id":366529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":539751,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70140317,"text":"70140317 - 2015 - Remote sensing of Sonoran Desert vegetation structure and phenology with ground-based LiDAR","interactions":[],"lastModifiedDate":"2015-02-06T11:44:40","indexId":"70140317","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing of Sonoran Desert vegetation structure and phenology with ground-based LiDAR","docAbstract":"

Long-term vegetation monitoring efforts have become increasingly important for understanding ecosystem response to global change. Many traditional methods for monitoring can be infrequent and limited in scope. Ground-based LiDAR is one remote sensing method that offers a clear advancement to monitor vegetation dynamics at high spatial and temporal resolution. We determined the effectiveness of LiDAR to detect intra-annual variability in vegetation structure at a long-term Sonoran Desert monitoring plot dominated by cacti, deciduous and evergreen shrubs. Monthly repeat LiDAR scans of perennial plant canopies over the course of one year had high precision. LiDAR measurements of canopy height and area were accurate with respect to total station survey measurements of individual plants. We found an increase in the number of LiDAR vegetation returns following the wet North American Monsoon season. This intra-annual variability in vegetation structure detected by LiDAR was attributable to a drought deciduous shrub Ambrosia deltoidea, whereas the evergreen shrub Larrea tridentata and cactus Opuntia engelmannii had low variability. Benefits of using LiDAR over traditional methods to census desert plants are more rapid, consistent, and cost-effective data acquisition in a high-resolution, 3-dimensional context. We conclude that repeat LiDAR measurements can be an effective method for documenting ecosystem response to desert climatology and drought over short time intervals and at detailed-local spatial scale.

","language":"English","publisher":"MPDI","doi":"10.3390/rs70100342","usgsCitation":"Sankey, J.B., Munson, S.M., Webb, R., Wallace, C., and Duran, C.M., 2015, Remote sensing of Sonoran Desert vegetation structure and phenology with ground-based LiDAR: Remote Sensing, v. 7, no. 1, p. 342-359, https://doi.org/10.3390/rs70100342.","productDescription":"18 p.","startPage":"342","endPage":"359","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052905","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472452,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70100342","text":"Publisher Index Page"},{"id":297782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","city":"Tucson","otherGeospatial":"Sonoran Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.02027893066406,\n 32.20524836577404\n ],\n [\n -111.02027893066406,\n 32.225145480676254\n ],\n [\n -110.98757743835449,\n 32.225145480676254\n ],\n [\n -110.98757743835449,\n 32.20524836577404\n ],\n [\n -111.02027893066406,\n 32.20524836577404\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-30","publicationStatus":"PW","scienceBaseUri":"54dd2aa9e4b08de9379b316e","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":539975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":539976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":539977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, Cynthia S.A. cwallace@usgs.gov","contributorId":3335,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia S.A.","email":"cwallace@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":539978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duran, Cesar M.","contributorId":139086,"corporation":false,"usgs":false,"family":"Duran","given":"Cesar","email":"","middleInitial":"M.","affiliations":[{"id":12649,"text":"School of Geography and Development, Uni. Arizona","active":true,"usgs":false}],"preferred":false,"id":539979,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173454,"text":"70173454 - 2015 - Evaluating changes in stream fish species richness over a 50-year time-period within a landscape context","interactions":[],"lastModifiedDate":"2016-06-20T12:03:29","indexId":"70173454","displayToPublicDate":"2014-11-25T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating changes in stream fish species richness over a 50-year time-period within a landscape context","docAbstract":"

Worldwide, streams and rivers are facing a suite of pressures that alter water quality and degrade physical habitat, both of which can lead to changes in the composition and richness of fish populations. These potential changes are of particular importance in the Southeast USA, home to one of the richest stream fish assemblages in North America. Using data from 83 stream sites in North Carolina sampled in the 1960’s and the past decade, we used hierarchical Bayesian models to evaluate relationships between species richness and catchment land use and land cover (e.g., agriculture and forest cover). In addition, we examined how the rate of change in species richness over 50 years was related to catchment land use and land cover. We found a negative and positive correlation between forest land cover and agricultural land use and average species richness, respectively. After controlling for introduced species, most (66 %) stream sites showed an increase in native fish species richness, and the magnitude of the rate of increase was positively correlated to the amount of forested land cover in the catchment. Site-specific trends in species richness were not positive, on average, until the percentage forest cover in the network catchment exceeded about 55 %. These results suggest that streams with catchments that have moderate to high (>55 %) levels of forested land in upstream network catchments may be better able to increase the number of native species at a faster rate compared to less-forested catchments.

","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht, Netherlands","doi":"10.1007/s10641-014-0359-z","usgsCitation":"Midway, S.R., Wagner, T., Tracy, B.H., Hogue, G.M., and Starnes, W.C., 2015, Evaluating changes in stream fish species richness over a 50-year time-period within a landscape context: Environmental Biology of Fishes, v. 98, no. 5, p. 1295-1309, https://doi.org/10.1007/s10641-014-0359-z.","productDescription":"15 p.","startPage":"1295","endPage":"1309","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052108","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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H.","contributorId":172160,"corporation":false,"usgs":false,"family":"Tracy","given":"Bryn","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":639789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hogue, Gabriela M.","contributorId":172161,"corporation":false,"usgs":false,"family":"Hogue","given":"Gabriela","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":639790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Starnes, Wayne C.","contributorId":152491,"corporation":false,"usgs":false,"family":"Starnes","given":"Wayne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":639791,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169868,"text":"70169868 - 2015 - Climate-induced range contraction of a rare alpine aquatic invertebrate","interactions":[],"lastModifiedDate":"2016-03-28T11:56:22","indexId":"70169868","displayToPublicDate":"2014-11-24T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Climate-induced range contraction of a rare alpine aquatic invertebrate","docAbstract":"

Climate warming poses a serious threat to alpine-restricted species worldwide, yet few studies have empirically documented climate-induced changes in distributions. The rare stonefly, Zapada glacier (Baumann and Gaufin), endemic to alpine streams of Glacier National Park (GNP), Montana, was recently petitioned for listing under the US Endangered Species Act because of climate-change-induced glacier loss, yet little was known about its current status and distribution. We resampled streams throughout the historical distribution of Z. glacier to investigate trends in occurrence associated with changes in temperature and glacial extent. The current geographic distribution of the species was assessed using morphological characteristics of adults and DNA barcoding of nymphs. Bayesian phylogenetic analysis of mtDNA data revealed 8 distinct clades of the genus corresponding with 7 known species from GNP, and one potentially cryptic species. Climate model simulations indicate that average summer air temperature increased (0.67–1.00°C) during the study period (1960–2012), and glacial surface area decreased by ∼35% from 1966 to 2005. We detected Z. glacier in only 1 of the 6 historically occupied streams and at 2 new locations in GNP. These results suggest that an extremely restricted historical distribution of Z. glacierin GNP has been further reduced over the past several decades by an upstream retreat to higher, cooler sites as water temperatures increased and glacial masses decreased. More research is urgently needed to determine the status, distribution, and vulnerability of Z. glacier and other alpine stream invertebrates threatened by climate change in mountainous ecosystems.

","language":"English","publisher":"The Society for Freshwater Science","publisherLocation":"Springfield, IL","doi":"10.1086/679490","usgsCitation":"Giersch, J., Jordan, S., Luikart, G., Jones, L.A., Hauer, F.R., and Muhlfeld, C.C., 2015, Climate-induced range contraction of a rare alpine aquatic invertebrate: Freshwater Science, v. 34, no. 1, p. 53-65, https://doi.org/10.1086/679490.","productDescription":"13 p.","startPage":"53","endPage":"65","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056728","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":319551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": 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Richard","contributorId":76892,"corporation":false,"usgs":true,"family":"Hauer","given":"F.","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":625387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":625388,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70143001,"text":"70143001 - 2015 - Character, distribution, and ecological significance of storm wave-induced scour in Rhode Island Sound, USA","interactions":[],"lastModifiedDate":"2015-03-17T12:03:14","indexId":"70143001","displayToPublicDate":"2014-11-21T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1742,"text":"Geo-Marine Letters","active":true,"publicationSubtype":{"id":10}},"title":"Character, distribution, and ecological significance of storm wave-induced scour in Rhode Island Sound, USA","docAbstract":"

Multibeam bathymetry, collected during NOAA hydrographic surveys in 2008 and 2009, is coupled with USGS data from sampling and photographic stations to map the seabed morphology and composition of Rhode Island Sound along the US Atlantic coast, and to provide information on sediment transport and benthic habitats. Patchworks of scour depressions cover large areas on seaward-facing slopes and bathymetric highs in the sound. These depressions average 0.5-0.8 m deep and occur in water depths reaching as much as 42 m. They have relatively steep well-defined sides and coarser-grained floors, and vary strongly in shape, size, and configuration. Some individual scour depressions have apparently expanded to combine with adjacent depressions, forming larger eroded areas that commonly contain outliers of the original seafloor sediments. Where cobbles and scattered boulders are present on the depression floors, the muddy Holocene sands have been completely removed and the winnowed relict Pleistocene deposits exposed. Low tidal-current velocities and the lack of obstacle marks suggest that bidirectional tidal currents alone are not capable of forming these features. These depressions are formed and maintained under high-energy shelf conditions owing to repetitive cyclic loading imposed by high-amplitude, long-period, storm-driven waves that reduce the effective shear strength of the sediment, cause resuspension, and expose the suspended sediments to erosion by wind-driven and tidal currents. Because epifauna dominate on gravel floors of the depressions and infauna are prevalent in the finer-grained Holocene deposits, it is concluded that the resultant close juxtaposition of silty sand-, sand-, and gravel-dependent communities promotes regional faunal complexity. These findings expand on earlier interpretations, documenting how storm wave-induced scour produces sorted bedforms that control much of the benthic geologic and biologic diversity in Rhode Island Sound.

","language":"English","publisher":"Springer-Verlag","publisherLocation":"Heidelberg","doi":"10.1007/s00367-014-0392-0","usgsCitation":"McMullen, K.Y., Poppe, L.J., and Parker, C.E., 2015, Character, distribution, and ecological significance of storm wave-induced scour in Rhode Island Sound, USA: Geo-Marine Letters, v. 35, no. 2, p. 135-144, https://doi.org/10.1007/s00367-014-0392-0.","productDescription":"10 p.","startPage":"135","endPage":"144","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060897","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472455,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/7246","text":"External Repository"},{"id":298620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Rhode Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.48529052734375,\n 41.372686481864655\n ],\n [\n -71.48529052734375,\n 41.55997677258171\n ],\n [\n -71.27517700195312,\n 41.55997677258171\n ],\n [\n -71.27517700195312,\n 41.372686481864655\n ],\n [\n -71.48529052734375,\n 41.372686481864655\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-21","publicationStatus":"PW","scienceBaseUri":"5509502ae4b02e76d757e608","contributors":{"authors":[{"text":"McMullen, Katherine Y. kmcmullen@usgs.gov","contributorId":2148,"corporation":false,"usgs":true,"family":"McMullen","given":"Katherine","email":"kmcmullen@usgs.gov","middleInitial":"Y.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":542408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":139521,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence","email":"lpoppe@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":542409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Castle E.","contributorId":28684,"corporation":false,"usgs":false,"family":"Parker","given":"Castle","email":"","middleInitial":"E.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":542410,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70131491,"text":"70131491 - 2015 - Spatial and seasonal responses of precipitation in the Ganges and Brahmaputra river basins to ENSO and Indian Ocean dipole modes: Implications for flooding and drought","interactions":[],"lastModifiedDate":"2019-12-10T12:54:52","indexId":"70131491","displayToPublicDate":"2014-11-18T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and seasonal responses of precipitation in the Ganges and Brahmaputra river basins to ENSO and Indian Ocean dipole modes: Implications for flooding and drought","docAbstract":"

We evaluated the spatial and seasonal responses of precipitation in the Ganges and Brahmaputra basins as modulated by the El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) modes using Global Precipitation Climatology Centre (GPCC) full data reanalysis of monthly global land-surface precipitation data from 1901 to 2010 with a spatial resolution of 0.5° × 0.5°. The GPCC monthly total precipitation climatology targeting the period 1951–2000 was used to compute gridded monthly anomalies for the entire time period. The gridded monthly anomalies were averaged for the years influenced by combinations of climate modes. Occurrences of El Niño alone significantly reduce (88% of the long-term average (LTA)) precipitation during the monsoon months in the western and southeastern Ganges Basin. In contrast, occurrences of La Niña and co-occurrences of La Niña and negative IOD events significantly enhance (110 and 109% of LTA in the Ganges and Brahmaputra Basin, respectively) precipitation across both basins. When El Niño co-occurs with positive IOD events, the impacts of El Niño on the basins' precipitation diminishes. When there is no active ENSO or IOD events (occurring in 41 out of 110 years), precipitation remains below average (95% of LTA) in the agriculturally intensive areas of Haryana, Uttar Pradesh, Rajasthan, Madhya Pradesh, and Western Nepal in the Ganges Basin, whereas precipitation remains average to above average (104% of LTA) across the Brahmaputra Basin. This pattern implies that a regular water deficit is likely, especially in the Ganges Basin, with implications for the agriculture sector due to its reliance on consistent rainfall for successful production. Historically, major droughts occurred during El Niño and co-occurrences of El Niño and positive IOD events, while major flooding occurred during La Niña and co-occurrences of La Niña and negative IOD events in the basins. This observational analysis will facilitate well-informed decision making in minimizing natural hazard risks and climate impacts on agriculture, and supports development of strategies ensuring optimized use of water resources in best management practice under a changing climate.

","language":"English","publisher":"European Geophysical Society","publisherLocation":"Katienburg-Lindau, Germany","doi":"10.5194/nhess-15-147-2015","usgsCitation":"Pervez, M., and Henebry, G.M., 2015, Spatial and seasonal responses of precipitation in the Ganges and Brahmaputra river basins to ENSO and Indian Ocean dipole modes: Implications for flooding and drought: Natural Hazards and Earth System Sciences, v. 2, p. 147-162, https://doi.org/10.5194/nhess-15-147-2015.","productDescription":"16 p.","startPage":"147","endPage":"162","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049481","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472457,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-15-147-2015","text":"Publisher Index Page"},{"id":296144,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bangladesh, Bhutan, China, India","otherGeospatial":"Brahmaputra Basin, Ganges Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 77.0361328125,\n 21.657428197370653\n ],\n [\n 103.22753906249999,\n 21.657428197370653\n ],\n [\n 103.22753906249999,\n 30.637912028341123\n ],\n [\n 77.0361328125,\n 30.637912028341123\n ],\n [\n 77.0361328125,\n 21.657428197370653\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2015-01-28","publicationStatus":"PW","scienceBaseUri":"546c6437e4b068a3ebb6f026","contributors":{"authors":[{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 spervez@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":3099,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"spervez@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henebry, Geoffry M.","contributorId":124529,"corporation":false,"usgs":false,"family":"Henebry","given":"Geoffry","email":"","middleInitial":"M.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":521268,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70129576,"text":"fs20143108 - 2015 - The 3D Elevation Program: summary for Wyoming","interactions":[],"lastModifiedDate":"2016-08-17T15:13:10","indexId":"fs20143108","displayToPublicDate":"2014-11-07T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3108","title":"The 3D Elevation Program: summary for Wyoming","docAbstract":"

Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Wyoming, elevation data are critical for geologic resource assessment and hazard mitigation, flood risk management, water supply an quality, natural resources conservation, agriculture and precision farming, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.

\n

The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios.The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.

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Late Holocene relative sea-level (RSL) reconstructions can be used to estimate rates of land-level (subsidence or uplift) change and therefore to modify global sea-level projections for regional conditions. These reconstructions also provide the long-term benchmark against which modern trends are compared and an opportunity to understand the response of sea level to past climate variability. To address a spatial absence of late Holocene data in Florida and Georgia, we reconstructed ~ 1.3 m of RSL rise in northeastern Florida (USA) during the past ~ 2600 years using plant remains and foraminifera in a dated core of high salt-marsh sediment. The reconstruction was fused with tide-gauge data from nearby Fernandina Beach, which measured 1.91 ± 0.26 mm/year of RSL rise since 1900 CE. The average rate of RSL rise prior to 1800 CE was 0.41 ± 0.08 mm/year. Assuming negligible change in global mean sea level from meltwater input/removal and thermal expansion/contraction, this sea-level history approximates net land-level (subsidence and geoid) change, principally from glacio-isostatic adjustment. Historic rates of rise commenced at 1850–1890 CE and it is virtually certain (P = 0.99) that the average rate of 20th century RSL rise in northeastern Florida was faster than during any of the preceding 26 centuries. The linearity of RSL rise in Florida is in contrast to the variability reconstructed at sites further north on the U.S. Atlantic coast and may suggest a role for ocean dynamic effects in explaining these more variable RSL reconstructions. Comparison of the difference between reconstructed rates of late Holocene RSL rise and historic trends measured by tide gauges indicates that 20th century sea-level trends along the U.S. Atlantic coast were not dominated by the characteristic spatial fingerprint of melting of the Greenland Ice Sheet.

","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.margeo.2014.07.010","usgsCitation":"Kemp, A., Bernhardt, C.E., Horton, B.P., Kopp, R., Vane, C.H., Peltier, W.R., Hawkes, A., Donnelly, J., Parnell, A.C., and Cahill, N., 2015, Late Holocene sea- and land-level change on the U.S. southeastern Atlantic Coast: Marine Geology, v. 357, p. 90-100, https://doi.org/10.1016/j.margeo.2014.07.010.","productDescription":"11 p.","startPage":"90","endPage":"100","numberOfPages":"11","ipdsId":"IP-058206","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":472462,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://mural.maynoothuniversity.ie/14567/1/NC_late%20holocene.pdf","text":"External Repository"},{"id":312547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.68322086334229,\n 30.572090062678555\n ],\n [\n -81.68322086334229,\n 30.597434228713674\n ],\n [\n -81.64442539215088,\n 30.597434228713674\n ],\n [\n -81.64442539215088,\n 30.572090062678555\n ],\n [\n -81.68322086334229,\n 30.572090062678555\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"357","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56753c3ee4b0da412f4f8bf1","contributors":{"authors":[{"text":"Kemp, Andrew C.","contributorId":39674,"corporation":false,"usgs":true,"family":"Kemp","given":"Andrew C.","affiliations":[],"preferred":false,"id":582928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":582927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Benjamin P.","contributorId":63641,"corporation":false,"usgs":true,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":582929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kopp, Robert E.","contributorId":64570,"corporation":false,"usgs":true,"family":"Kopp","given":"Robert E.","affiliations":[],"preferred":false,"id":582930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vane, Christopher H.","contributorId":88255,"corporation":false,"usgs":true,"family":"Vane","given":"Christopher","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":582931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peltier, W. Richard","contributorId":150752,"corporation":false,"usgs":false,"family":"Peltier","given":"W.","email":"","middleInitial":"Richard","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":582932,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hawkes, Andrea D.","contributorId":20240,"corporation":false,"usgs":true,"family":"Hawkes","given":"Andrea D.","affiliations":[],"preferred":false,"id":582933,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Donnelly, Jeffrey P.","contributorId":91613,"corporation":false,"usgs":true,"family":"Donnelly","given":"Jeffrey P.","affiliations":[],"preferred":false,"id":582934,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parnell, Andrew C.","contributorId":150753,"corporation":false,"usgs":false,"family":"Parnell","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":582935,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cahill, Niamh","contributorId":150754,"corporation":false,"usgs":false,"family":"Cahill","given":"Niamh","email":"","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false},{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":582936,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70139357,"text":"70139357 - 2015 - Using scenario planning to evaluate the impacts of climate change on wildlife populations and communities in the Florida Everglades","interactions":[],"lastModifiedDate":"2015-04-01T09:35:08","indexId":"70139357","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Using scenario planning to evaluate the impacts of climate change on wildlife populations and communities in the Florida Everglades","docAbstract":"

It is uncertain how climate change will impact hydrologic drivers of wildlife population dynamics in freshwater wetlands of the Florida Everglades, or how to accommodate this uncertainty in restoration decisions. Using projections of climate scenarios for the year 2060, we evaluated how several possible futures could affect wildlife populations (wading birds, fish, alligators, native apple snails, amphibians, threatened and invasive species) across the Everglades landscape and inform planning already underway. We used data collected from prior research and monitoring to parameterize our wildlife population models. Hydrologic data were simulated using a spatially explicit, regional-scale model. Our scenario evaluations show that expected changes in temperature, precipitation, and sea level could significantly alter important ecological functions. All of our wildlife indicators were negatively affected by scenarios with less rainfall and more evapotranspiration. Under such scenarios, habitat suitability was substantially reduced for iconic animals such as wading birds and alligators. Conversely, the increased rainfall scenario benefited aquatic prey productivity and apex predators. Cascading impacts on non-native species is speculative, but increasing temperatures could increase the time between cold events that currently limit expansion and abundance of non-native fishes, amphibians, and reptiles with natural ranges in the tropics. This scenario planning framework underscored the benefits of proceeding with Everglades restoration plans that capture and clean more freshwater with the potential to mitigate rainfall loss and postpone impacts of sea level rise.

","language":"English","publisher":"Environmental Management","doi":"10.1007/s00267-014-0397-5","usgsCitation":"Catano, C.P., Romañach, S., Beerens, J., Pearlstine, L.G., Brandt, L., Hart, K.M., Mazzotti, F., and Trexler, J.C., 2015, Using scenario planning to evaluate the impacts of climate change on wildlife populations and communities in the Florida Everglades: Environmental Management, v. 55, no. 4, p. 807-823, https://doi.org/10.1007/s00267-014-0397-5.","productDescription":"17 p.","startPage":"807","endPage":"823","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051166","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":297570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.28759765625,\n 25.110471486223346\n ],\n [\n -82.28759765625,\n 26.868180902512403\n ],\n [\n -79.8431396484375,\n 26.868180902512403\n ],\n [\n -79.8431396484375,\n 25.110471486223346\n ],\n [\n -82.28759765625,\n 25.110471486223346\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-05","publicationStatus":"PW","scienceBaseUri":"54dd2c7ee4b08de9379b3840","contributors":{"authors":[{"text":"Catano, Christopher P.","contributorId":138935,"corporation":false,"usgs":false,"family":"Catano","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":539334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":539335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beerens, James M. 0000-0001-8143-916X","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":25440,"corporation":false,"usgs":false,"family":"Beerens","given":"James M.","affiliations":[],"preferred":false,"id":539336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":539337,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brandt, Laura A.","contributorId":18608,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":539338,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539339,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Trexler, Joel C.","contributorId":36267,"corporation":false,"usgs":false,"family":"Trexler","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":539340,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70141030,"text":"70141030 - 2015 - Quality and age of shallow groundwater in the Bakken Formation production area, Williston Basin, Montana and North Dakota","interactions":[],"lastModifiedDate":"2015-04-17T13:02:05","indexId":"70141030","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Quality and age of shallow groundwater in the Bakken Formation production area, Williston Basin, Montana and North Dakota","docAbstract":"

The quality and age of shallow groundwater in the Bakken Formation production area were characterized using data from 30 randomly distributed domestic wells screened in the upper Fort Union Formation. Comparison of inorganic and organic chemical concentrations to health based drinking-water standards, correlation analysis of concentrations with oil and gas well locations, and isotopic data give no indication that energy-development activities affected groundwater quality. It is important, however, to consider these results in the context of groundwater age. Most samples were recharged before the early 1950s and had 14C ages ranging from 30,000 years. Thus, domestic wells may not be as well suited for detecting contamination associated with recent surface spills as shallower wells screened near the water table. Old groundwater could be contaminated directly by recent subsurface leaks from imperfectly cemented oil and gas wells, but horizontal groundwater velocities calculated from 14C ages imply that the contaminants would still be less than 0.5 km from their source. For the wells sampled in this study, the median distance to the nearest oil and gas well was 4.6 km. Because of the slow velocities, a long-term commitment to groundwater monitoring in the upper Fort Union Formation is needed to assess the effects of energy development on groundwater quality. In conjunction with that effort, monitoring could be done closer to energy-development activities to increase the likelihood of early detection of groundwater contamination if it did occur.

","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.12296","usgsCitation":"McMahon, P.B., Caldwell, R.R., Galloway, J.M., Valder, J., and Hunt, A.G., 2015, Quality and age of shallow groundwater in the Bakken Formation production area, Williston Basin, Montana and North Dakota: Groundwater, v. 53, no. S1, p. 81-94, https://doi.org/10.1111/gwat.12296.","productDescription":"14 p.","startPage":"81","endPage":"94","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059302","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":297944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","otherGeospatial":"Bakken Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.9501953125,\n 46.76996843356982\n ],\n [\n -113.9501953125,\n 49.009050809382046\n ],\n [\n -99.7119140625,\n 49.009050809382046\n ],\n [\n -99.7119140625,\n 46.76996843356982\n ],\n [\n -113.9501953125,\n 46.76996843356982\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"S1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-13","publicationStatus":"PW","scienceBaseUri":"54dd2c2fe4b08de9379b369a","chorus":{"doi":"10.1111/gwat.12296","url":"http://dx.doi.org/10.1111/gwat.12296","publisher":"Wiley-Blackwell","authors":"McMahon P.B., Caldwell R.R., Galloway J.M., Valder J.F., Hunt A.G.","journalName":"Groundwater","publicationDate":"11/13/2014","auditedOn":"12/15/2014"},"contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":540531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valder, Joshua F. 0000-0003-3733-8868 jvalder@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-8868","contributorId":1431,"corporation":false,"usgs":true,"family":"Valder","given":"Joshua F.","email":"jvalder@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":540534,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70132472,"text":"70132472 - 2015 - Uncertainty estimates in broadband seismometer sensitivities using microseisms","interactions":[],"lastModifiedDate":"2015-03-19T15:49:02","indexId":"70132472","displayToPublicDate":"2014-10-30T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2453,"text":"Journal of Seismology","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty estimates in broadband seismometer sensitivities using microseisms","docAbstract":"

The midband sensitivity of a seismic instrument is one of the fundamental parameters used in published station metadata. Any errors in this value can compromise amplitude estimates in otherwise high-quality data. To estimate an upper bound in the uncertainty of the midband sensitivity for modern broadband instruments, we compare daily microseism (4- to 8-s period) amplitude ratios between the vertical components of colocated broadband sensors across the IRIS/USGS (network code IU) seismic network. We find that the mean of the 145,972 daily ratios used between 2002 and 2013 is 0.9895 with a standard deviation of 0.0231. This suggests that the ratio between instruments shows a small bias and considerable scatter. We also find that these ratios follow a standard normal distribution (R 2 = 0.95442), which suggests that the midband sensitivity of an instrument has an error of no greater than ±6 % with a 99 % confidence interval. This gives an upper bound on the precision to which we know the sensitivity of a fielded instrument.

","language":"English","publisher":"Springer","doi":"10.1007/s10950-014-9467-7","usgsCitation":"Ringler, A.T., Storm, T., Gee, L., Hutt, C.R., and Wilson, D., 2015, Uncertainty estimates in broadband seismometer sensitivities using microseisms: Journal of Seismology, v. 19, no. 2, p. 317-327, https://doi.org/10.1007/s10950-014-9467-7.","productDescription":"11 p.","startPage":"317","endPage":"327","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059886","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":296151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-10-30","publicationStatus":"PW","scienceBaseUri":"546c763de4b0f4a3478a61d7","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":523246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storm, Tyler L. tstorm@usgs.gov","contributorId":4073,"corporation":false,"usgs":true,"family":"Storm","given":"Tyler L.","email":"tstorm@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":523247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gee, Lind S. lgee@usgs.gov","contributorId":2247,"corporation":false,"usgs":true,"family":"Gee","given":"Lind S.","email":"lgee@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":523248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":523249,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, David C. dwilson@usgs.gov","contributorId":4588,"corporation":false,"usgs":true,"family":"Wilson","given":"David C.","email":"dwilson@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":523250,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70131478,"text":"70131478 - 2015 - Permafrost-associated gas hydrate: is it really approximately 1% of the global system?","interactions":[],"lastModifiedDate":"2015-02-23T16:20:09","indexId":"70131478","displayToPublicDate":"2014-10-29T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3821,"text":"Journal of Chemical & Engineering Data","active":true,"publicationSubtype":{"id":10}},"title":"Permafrost-associated gas hydrate: is it really approximately 1% of the global system?","docAbstract":"

Permafrost-associated gas hydrates are often assumed to contain ∼1 % of the global gas-in-place in gas hydrates based on a study26 published over three decades ago. As knowledge of permafrost-associated gas hydrates has grown, it has become clear that many permafrost-associated gas hydrates are inextricably linked to an associated conventional petroleum system, and that their formation history (trapping of migrated gas in situ during Pleistocene cooling) is consistent with having been sourced at least partially in nearby thermogenic gas deposits. Using modern data sets that constrain the distribution of continuous permafrost onshore5 and subsea permafrost on circum-Arctic Ocean continental shelves offshore and that estimate undiscovered conventional gas within arctic assessment units,16 the done here reveals where permafrost-associated gas hydrates are most likely to occur, concluding that Arctic Alaska and the West Siberian Basin are the best prospects. A conservative estimate is that 20 Gt C (2.7·1013 kg CH4) may be sequestered in permafrost-associated gas hydrates if methane were the only hydrate-former. This value is slightly more than 1 % of modern estimates (corresponding to 1600 Gt C to 1800 Gt C2,22) for global gas-in-place in methane hydrates and about double the absolute estimate (11.2 Gt C) made in 1981.26

","language":"English","publisher":"American Chemical Society","doi":"10.1021/je500770m","usgsCitation":"Ruppel, C., 2015, Permafrost-associated gas hydrate: is it really approximately 1% of the global system?: Journal of Chemical & Engineering Data, v. 60, no. 2, p. 429-436, https://doi.org/10.1021/je500770m.","productDescription":"8 p.","startPage":"429","endPage":"436","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060410","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":296452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-10-29","publicationStatus":"PW","scienceBaseUri":"548193bee4b0aa6d778520f0","chorus":{"doi":"10.1021/je500770m","url":"http://dx.doi.org/10.1021/je500770m","publisher":"American Chemical Society (ACS)","authors":"Ruppel C.","journalName":"Journal of Chemical & Engineering Data","publicationDate":"2/12/2015","auditedOn":"12/1/2014"},"contributors":{"authors":[{"text":"Ruppel, Carolyn cruppel@usgs.gov","contributorId":2015,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":521234,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70128483,"text":"tm4A10 - 2015 - User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data","interactions":[],"lastModifiedDate":"2021-03-25T14:13:34.167466","indexId":"tm4A10","displayToPublicDate":"2014-10-09T09:41:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-A10","title":"User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data","docAbstract":"

Evaluating long-term changes in river conditions (water quality and discharge) is an important use of hydrologic data. To carry out such evaluations, the hydrologist needs tools to facilitate several key steps in the process: acquiring the data records from a variety of sources, structuring it in ways that facilitate the analysis, processing the data with routines that extract information about changes that may be happening, and displaying findings with graphical techniques. A pair of tightly linked R packages, called dataRetrieval and EGRET (Exploration and Graphics for RivEr Trends), have been developed for carrying out each of these steps in an integrated manner. They are designed to easily accept data from three sources: U.S. Geological Survey hydrologic data, U.S. Environmental Protection Agency (EPA) STORET data, and user-supplied flat files. The dataRetrieval package not only serves as a “front end” to the EGRET package, it can also be used to easily download many types of hydrologic data and organize it in ways that facilitate many other hydrologic applications. The EGRET package has components oriented towards the description of long-term changes in streamflow statistics (high flow, average flow, and low flow) as well as changes in water quality. For the water-quality analysis, it uses Weighted Regressions on Time, Discharge and Season (WRTDS) to describe long-term trends in both concentration and flux. EGRET also creates a wide range of graphical presentations of the water-quality data and of the WRTDS results. This report serves as a user guide to these two R packages, providing detailed guidance on installation and use of the software, documentation of the analysis methods used, as well as guidance on some of the kinds of questions and approaches that the software can facilitate.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Statistical analysis in Book 4 Hydrologic Analysis and Interpretation","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4A10","usgsCitation":"Hirsch, R.M., and De Cicco, L., 2015, User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data (Version 1.0: Originally posted October 8, 2014; Version 2.0: February 5, 2015): U.S. Geological Survey Techniques and Methods 4-A10, Report: vii, 93 p.; 2 Appendixes, https://doi.org/10.3133/tm4A10.","productDescription":"Report: vii, 93 p.; 2 Appendixes","numberOfPages":"104","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056100","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":438730,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X4L3GE","text":"USGS data release","linkHelpText":"dataRetrieval"},{"id":297766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/04/a10/images/coverthb.jpg"},{"id":295115,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/04/a10/pdf/tm4A10_appendix_1.pdf","text":"Appendix 1: data retrieval vignette","size":"472 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1: data retrieval vignette"},{"id":295086,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/04/a10/"},{"id":295114,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/04/a10/pdf/tm4A10.pdf","text":"Report","size":"6.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":295116,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/04/a10/pdf/tm4A10_appendix_2.pdf","text":"Appendix 2: EGRET vignette","size":"1.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2: EGRET vignette"}],"edition":"Version 1.0: Originally posted October 8, 2014; Version 2.0: February 5, 2015","publicComments":"This report is Chapter 10 of Section A: Statistical analysis in Book 4 Hydrologic Analysis and Interpretation.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54379589e4b08a816ca63613","contributors":{"authors":[{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":502921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Cicco, Laura A. 0000-0002-3915-9487","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":35255,"corporation":false,"usgs":true,"family":"De Cicco","given":"Laura A.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":false,"id":502922,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70127469,"text":"70127469 - 2015 - Threshold-dependent sample sizes for selenium assessment with stream fish tissue","interactions":[],"lastModifiedDate":"2016-12-14T11:58:43","indexId":"70127469","displayToPublicDate":"2014-09-30T09:44:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Threshold-dependent sample sizes for selenium assessment with stream fish tissue","docAbstract":"

Natural resource managers are developing assessments of selenium (Se) contamination in freshwater ecosystems based on fish tissue concentrations. We evaluated the effects of sample size (i.e., number of fish per site) on the probability of correctly detecting mean whole-body Se values above a range of potential management thresholds. We modeled Se concentrations as gamma distributions with shape and scale parameters fitting an empirical mean-to-variance relationship in data from southwestern West Virginia, USA (63 collections, 382 individuals). We used parametric bootstrapping techniques to calculate statistical power as the probability of detecting true mean concentrations up to 3 mg Se/kg above management thresholds ranging from 4 to 8 mg Se/kg. Sample sizes required to achieve 80% power varied as a function of management thresholds and Type I error tolerance (α). Higher thresholds required more samples than lower thresholds because populations were more heterogeneous at higher mean Se levels. For instance, to assess a management threshold of 4 mg Se/kg, a sample of eight fish could detect an increase of approximately 1 mg Se/kg with 80% power (given α = 0.05), but this sample size would be unable to detect such an increase from a management threshold of 8 mg Se/kg with more than a coin-flip probability. Increasing α decreased sample size requirements to detect above-threshold mean Se concentrations with 80% power. For instance, at an α-level of 0.05, an 8-fish sample could detect an increase of approximately 2 units above a threshold of 8 mg Se/kg with 80% power, but when α was relaxed to 0.2, this sample size was more sensitive to increasing mean Se concentrations, allowing detection of an increase of approximately 1.2 units with equivalent power. Combining individuals into 2- and 4-fish composite samples for laboratory analysis did not decrease power because the reduced number of laboratory samples was compensated for by increased precision of composites for estimating mean conditions. However, low sample sizes (<5 fish) did not achieve 80% power to detect near-threshold values (i.e., <1 mg Se/kg) under any scenario we evaluated. This analysis can assist the sampling design and interpretation of Se assessments from fish tissue by accounting for natural variation in stream fish populations.

","language":"English","publisher":"SETAC","publisherLocation":"Pensacola, FL","doi":"10.1002/ieam.1579","usgsCitation":"Hitt, N.P., and Smith, D., 2015, Threshold-dependent sample sizes for selenium assessment with stream fish tissue: Integrated Environmental Assessment and Management, v. 11, no. 1, p. 143-149, https://doi.org/10.1002/ieam.1579.","productDescription":"7 p.","startPage":"143","endPage":"149","ipdsId":"IP-053353","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472465,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.1579","text":"Publisher Index Page"},{"id":294605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294604,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ieam.1579"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-09-01","publicationStatus":"PW","scienceBaseUri":"542bb80ee4b0abfb4c8096b3","contributors":{"authors":[{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":502326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R.","contributorId":173756,"corporation":false,"usgs":false,"family":"Smith","given":"David R.","affiliations":[],"preferred":false,"id":502325,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70108458,"text":"70108458 - 2015 - Understanding heat and groundwater flow through continental flood basalt provinces: insights gained from alternative models of permeability/depth relationships for the Columbia Plateau, USA","interactions":[],"lastModifiedDate":"2019-07-22T12:54:07","indexId":"70108458","displayToPublicDate":"2014-09-19T14:32:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1765,"text":"Geofluids","active":true,"publicationSubtype":{"id":10}},"title":"Understanding heat and groundwater flow through continental flood basalt provinces: insights gained from alternative models of permeability/depth relationships for the Columbia Plateau, USA","docAbstract":"

Heat-flow mapping of the western USA has identified an apparent low-heat-flow anomaly coincident with the Columbia Plateau Regional Aquifer System, a thick sequence of basalt aquifers within the Columbia River Basalt Group (CRBG). A heat and mass transport model (SUTRA) was used to evaluate the potential impact of groundwater flow on heat flow along two different regional groundwater flow paths. Limited in situ permeability (k) data from the CRBG are compatible with a steep permeability decrease (approximately 3.5 orders of magnitude) at 600–900 m depth and approximately 40°C. Numerical simulations incorporating this permeability decrease demonstrate that regional groundwater flow can explain lower-than-expected heat flow in these highly anisotropic (kx/kz ~ 104) continental flood basalts. Simulation results indicate that the abrupt reduction in permeability at approximately 600 m depth results in an equivalently abrupt transition from a shallow region where heat flow is affected by groundwater flow to a deeper region of conduction-dominated heat flow. Most existing heat-flow measurements within the CRBG are from shallower than 600 m depth or near regional groundwater discharge zones, so that heat-flow maps generated using these data are likely influenced by groundwater flow. Substantial k decreases at similar temperatures have also been observed in the volcanic rocks of the adjacent Cascade Range volcanic arc and at Kilauea Volcano, Hawaii, where they result from low-temperature hydrothermal alteration.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geofluids","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gfl.12095","usgsCitation":"Burns, E., Williams, C.F., Ingebritsen, S.E., Voss, C.I., Spane, F.A., and DeAngelo, J., 2015, Understanding heat and groundwater flow through continental flood basalt provinces: insights gained from alternative models of permeability/depth relationships for the Columbia Plateau, USA: Geofluids, v. 15, no. 1-2, p. 120-138, https://doi.org/10.1111/gfl.12095.","productDescription":"19 p.","startPage":"120","endPage":"138","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053358","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472466,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gfl.12095","text":"Publisher Index Page"},{"id":294238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294237,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gfl.12095"},{"id":294239,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/gfl.12095/abstract"}],"country":"United States","state":"Idaho;Oregon;Washington","otherGeospatial":"Columbia River Plateau","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,44.5 ], [ -122,48.5 ], [ -116.5,48.5 ], [ -116.5,44.5 ], [ -122,44.5 ] ] ] } } ] }","volume":"15","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2014-09-19","publicationStatus":"PW","scienceBaseUri":"541d3790e4b0f68901ebd9d4","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":84802,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":310,"text":"Geology, Minerals, Energy and Geophysics Science Center","active":false,"usgs":true}],"preferred":false,"id":494028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Colin F. 0000-0003-2196-5496 colin@usgs.gov","orcid":"https://orcid.org/0000-0003-2196-5496","contributorId":274,"corporation":false,"usgs":true,"family":"Williams","given":"Colin","email":"colin@usgs.gov","middleInitial":"F.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":494024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":494025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spane, Frank A.","contributorId":38910,"corporation":false,"usgs":true,"family":"Spane","given":"Frank","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":494027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeAngelo, Jacob jdeangelo@usgs.gov","contributorId":2376,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494026,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70127956,"text":"70127956 - 2015 - Development of ten microsatellite loci in the invasive giant African land snail, Achatina (=Lissachatina) fulica Bowdich, 1822","interactions":[],"lastModifiedDate":"2015-02-23T16:15:24","indexId":"70127956","displayToPublicDate":"2014-09-19T09:46:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development of ten microsatellite loci in the invasive giant African land snail, Achatina (=Lissachatina) fulica Bowdich, 1822","docAbstract":"

A suite of tetra-nucleotide microsatellite loci were developed for the invasive giant African land snail, Achatina (=Lissachatina) fulica Bowdich, 1822, from Ion Torrent next-generation sequencing data. Ten of the 96 primer sets tested amplified consistently in 30 snails from Miami, Florida, plus 12 individuals representative of their native East Africa, Indian and Pacific Ocean regions. The loci displayed moderate levels of allelic diversity (average 5.6 alleles/locus) and heterozygosity (average 42 %). Levels of genetic diversity were sufficient to produce unique multi-locus genotypes and detect phylogeographic structuring among regional samples. The invasive A. fulica can cause extensive damage to important food crops and natural resources, including native flora and fauna. The loci characterized here will be useful for determining the origins and tracking the spread of invasions, detecting fine-scale spatial structuring and estimating demographic parameters.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12686-014-0332-3","usgsCitation":"Morrison, C., Springmann, M.J., Iwanowicz, D., and Wade, C.M., 2015, Development of ten microsatellite loci in the invasive giant African land snail, Achatina (=Lissachatina) fulica Bowdich, 1822: Conservation Genetics Resources, v. 7, no. 1, p. 201-202, https://doi.org/10.1007/s12686-014-0332-3.","productDescription":"2 p.","startPage":"201","endPage":"202","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059479","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":488397,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://nottingham-repository.worktribe.com/output/3189010","text":"External Repository"},{"id":294895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294888,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12686-014-0332-3"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-09-19","publicationStatus":"PW","scienceBaseUri":"542fba9ce4b092f17df61d00","contributors":{"authors":[{"text":"Morrison, Cheryl L. 0000-0001-9425-691X","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":18288,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":502718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springmann, Marcus J. mspringmann@usgs.gov","contributorId":4372,"corporation":false,"usgs":true,"family":"Springmann","given":"Marcus","email":"mspringmann@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":502716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwanowicz, Deborah D.","contributorId":39704,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah D.","affiliations":[],"preferred":false,"id":502719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wade, Christopher M.","contributorId":9186,"corporation":false,"usgs":true,"family":"Wade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":502717,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70127954,"text":"70127954 - 2015 - Processes of arroyo filling in northern New Mexico, USA","interactions":[],"lastModifiedDate":"2017-02-08T14:08:55","indexId":"70127954","displayToPublicDate":"2014-09-16T10:09:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Processes of arroyo filling in northern New Mexico, USA","docAbstract":"

We documented arroyo evolution at the tree, trench, and arroyo scales along the lower Rio Puerco and Chaco Wash in northern New Mexico, USA. We excavated 29 buried living woody plants and used burial signatures in their annual rings to date stratigraphy in four trenches across the arroyos. Then, we reconstructed the history of arroyo evolution by combining trench data with arroyo-scale information from aerial imagery, light detection and ranging (LiDAR), longitudinal profiles, and repeat surveys of cross sections. Burial signatures in annual rings of salt cedar and willow dated sedimentary beds greater than 30 cm thick with annual precision. Along both arroyos, incision occurred until the 1930s in association with extreme high flows, and subsequent filling involved vegetation development, channel narrowing, increased sinuosity, and finally vertical aggradation. A strongly depositional sediment transport regime interacted with floodplain shrubs to produce a characteristic narrow, trapezoidal channel. The 55 km study reach along the Rio Puerco demonstrated upstream progression of arroyo widening and filling, but not of arroyo incision, channel narrowing, or floodplain vegetation development. We conclude that the occurrence of upstream progression within large basins like the Rio Puerco makes precise synchrony across basins impossible. Arroyo wall retreat is now mostly limited to locations where meanders impinge on the arroyo wall, forming hairpin bends, for which entry to and exit from the wall are stationary. Average annual sediment storage within the Rio Puerco study reach between 1955 and 2005 was 4.8 × 105 t/yr, 16% of the average annual suspended sediment yield, and 24% of the long-term bedrock denudation rate. At this rate, the arroyo would fill in 310 yr.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31046.1","usgsCitation":"Friedman, J.M., Vincent, K.R., Griffin, E.R., Scott, M.L., Shafroth, P.B., and Auble, G.T., 2015, Processes of arroyo filling in northern New Mexico, USA: Geological Society of America Bulletin, v. 127, no. 3-4, p. 621-640, https://doi.org/10.1130/B31046.1.","productDescription":"20 p.","startPage":"621","endPage":"640","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056455","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":294899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335014,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F72N50CM","text":"Lower Rio Puerco geospatial data, 1935 - 2014"},{"id":294887,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B31046.1"}],"country":"United States","state":"New Mexico","otherGeospatial":"Chaco River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.05029296875,\n 33.137551192346145\n ],\n [\n -109.05029296875,\n 37.00255267215955\n ],\n [\n -106.710205078125,\n 37.00255267215955\n ],\n [\n -106.710205078125,\n 33.137551192346145\n ],\n [\n -109.05029296875,\n 33.137551192346145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2014-09-16","publicationStatus":"PW","scienceBaseUri":"542fbaa7e4b092f17df61d7f","contributors":{"authors":[{"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":502714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vincent, Kirk R.","contributorId":75073,"corporation":false,"usgs":true,"family":"Vincent","given":"Kirk","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":502715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffin, Eleanor R. 0000-0001-6724-9853 egriffin@usgs.gov","orcid":"https://orcid.org/0000-0001-6724-9853","contributorId":1775,"corporation":false,"usgs":true,"family":"Griffin","given":"Eleanor","email":"egriffin@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":502711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Michael L. scottm@usgs.gov","contributorId":1169,"corporation":false,"usgs":true,"family":"Scott","given":"Michael","email":"scottm@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":502710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":502712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Auble, Gregor T. 0000-0002-0843-2751 aubleg@usgs.gov","orcid":"https://orcid.org/0000-0002-0843-2751","contributorId":2187,"corporation":false,"usgs":true,"family":"Auble","given":"Gregor","email":"aubleg@usgs.gov","middleInitial":"T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":502713,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70124289,"text":"70124289 - 2015 - A century of ocean warming on Florida Keys coral reefs: historic in situ observations","interactions":[],"lastModifiedDate":"2015-04-17T11:48:37","indexId":"70124289","displayToPublicDate":"2014-09-11T10:55:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"A century of ocean warming on Florida Keys coral reefs: historic in situ observations","docAbstract":"

There is strong evidence that global climate change over the last several decades has caused shifts in species distributions, species extinctions, and alterations in the functioning of ecosystems. However, because of high variability on short (i.e., diurnal, seasonal, and annual) timescales as well as the recency of a comprehensive instrumental record, it is difficult to detect or provide evidence for long-term, site-specific trends in ocean temperature. Here we analyze five in situ datasets from Florida Keys coral reef habitats, including historic measurements taken by lighthouse keepers, to provide three independent lines of evidence supporting approximately 0.8 °C of warming in sea surface temperature (SST) over the last century. Results indicate that the warming observed in the records between 1878 and 2012 can be fully accounted for by the warming observed in recent decades (from 1975 to 2007), documented using in situ thermographs on a mid-shore patch reef. The magnitude of warming revealed here is similar to that found in other SST datasets from the region and to that observed in global mean surface temperature. The geologic context and significance of recent ocean warming to coral growth and population dynamics are discussed, as is the future prognosis for the Florida reef tract.

","language":"English","publisher":"Springer US","doi":"10.1007/s12237-014-9875-5","usgsCitation":"Kuffner, I.B., Lidz, B.H., Hudson, J., and Anderson, J., 2015, A century of ocean warming on Florida Keys coral reefs: historic in situ observations: Estuaries and Coasts, v. 38, no. 3, p. 1085-1096, https://doi.org/10.1007/s12237-014-9875-5.","productDescription":"12 p.","startPage":"1085","endPage":"1096","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057077","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-014-9875-5","text":"Publisher Index Page"},{"id":293673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293672,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-014-9875-5"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.0,24.5 ], [ -83.0,26.0 ], [ -80.0,26.0 ], [ -80.0,24.5 ], [ -83.0,24.5 ] ] ] } } ] }","volume":"38","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-09-05","publicationStatus":"PW","scienceBaseUri":"5412ab86e4b0239f1986b9c2","contributors":{"authors":[{"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":500656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lidz, Barbara H. blidz@usgs.gov","contributorId":2475,"corporation":false,"usgs":true,"family":"Lidz","given":"Barbara","email":"blidz@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":500655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, J. Harold","contributorId":54897,"corporation":false,"usgs":true,"family":"Hudson","given":"J. Harold","affiliations":[],"preferred":false,"id":500658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Jeffery S.","contributorId":36066,"corporation":false,"usgs":true,"family":"Anderson","given":"Jeffery S.","affiliations":[],"preferred":false,"id":500657,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70137565,"text":"70137565 - 2015 - A protocol for coordinating post-tsunami field reconnaissance efforts in the USA","interactions":[],"lastModifiedDate":"2015-01-09T13:03:41","indexId":"70137565","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"A protocol for coordinating post-tsunami field reconnaissance efforts in the USA","docAbstract":"

In the aftermath of a catastrophic tsunami, much is to be learned about tsunami generation and propagation, landscape and ecological changes, and the response and recovery of those affected by the disaster. Knowledge of the impacted area directly helps response and relief personnel in their efforts to reach and care for survivors and for re-establishing community services. First-hand accounts of tsunami-related impacts and consequences also help researchers, practitioners, and policy makers in other parts of the world that lack recent events to better understand and manage their own societal risks posed by tsunami threats. Conducting post-tsunami surveys and disseminating useful results to decision makers in an effective, efficient, and timely manner is difficult given the logistical issues and competing demands in a post-disaster environment. To facilitate better coordination of field-data collection and dissemination of results, a protocol for coordinating post-tsunami science surveys was developed by a multi-disciplinary group of representatives from state and federal agencies in the USA. This protocol is being incorporated into local, state, and federal post-tsunami response planning through the efforts of the Pacific Risk Management ‘Ohana, the U.S. National Tsunami Hazard Mitigation Program, and the U.S. National Plan for Disaster Impact Assessments. Although the protocol was designed to support a coordinated US post-tsunami response, we believe it could help inform post-disaster science surveys conducted elsewhere and further the discussion on how hazard researchers can most effectively operate in disaster environments.

","language":"English","publisher":"Springer","doi":"10.1007/s11069-014-1418-7","usgsCitation":"Wilson, R.I., Wood, N.J., Kong, L., Shulters, M.V., Richards, K.D., Dunbar, P., , T., and Young, E.J., 2015, A protocol for coordinating post-tsunami field reconnaissance efforts in the USA: Natural Hazards, v. 75, no. 3, p. 2153-2165, https://doi.org/10.1007/s11069-014-1418-7.","productDescription":"13 p.","startPage":"2153","endPage":"2165","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054161","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-014-1418-7","text":"Publisher Index Page"},{"id":297106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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I.","contributorId":56138,"corporation":false,"usgs":false,"family":"Wilson","given":"Rick","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":537924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":537923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kong, Laura","contributorId":138578,"corporation":false,"usgs":false,"family":"Kong","given":"Laura","email":"","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":537925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shulters, Michael V. shulters@usgs.gov","contributorId":1023,"corporation":false,"usgs":true,"family":"Shulters","given":"Michael","email":"shulters@usgs.gov","middleInitial":"V.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":537926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richards, Kevin D. krichard@usgs.gov","contributorId":280,"corporation":false,"usgs":true,"family":"Richards","given":"Kevin","email":"krichard@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunbar, Paula","contributorId":138579,"corporation":false,"usgs":false,"family":"Dunbar","given":"Paula","affiliations":[{"id":12449,"text":"National Geophysical Data Center, U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":537928,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":" Tamura","contributorId":138580,"corporation":false,"usgs":false,"given":"Tamura","email":"","affiliations":[{"id":12450,"text":"Region IX, U.S. Federal Emergency Management Agency","active":true,"usgs":false}],"preferred":false,"id":537929,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Young, Edward J.","contributorId":28251,"corporation":false,"usgs":false,"family":"Young","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":537930,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70154804,"text":"70154804 - 2015 - Comparing methods for estimating larval sea lamprey (Petromyzon marinus) density in the St. Marys River for the purposes of control","interactions":[],"lastModifiedDate":"2015-07-08T13:49:54","indexId":"70154804","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Comparing methods for estimating larval sea lamprey (Petromyzon marinus) density in the St. Marys River for the purposes of control","docAbstract":"
\n

The St. Marys River is a major producer of parasitic sea lampreys (Petromyzon marinus) to Lake Huron making it an important area for larval control. Bayluscide treatments are conducted in areas of high larval density requiring density estimation at fine spatial scales to inform treatment decisions. We evaluated six methods of estimating spatially specific density including the currently used sampling-based estimates, a generalized linear model (GLM) based on mean larval density per plot, a GLM based on larval density per sample, a generalized additive model based on mean larval density per plot, a spatial age-structured population model, and a hybrid approach, which averaged the best performing sampling- and model-based methods. Methods were evaluated based on accuracy in matching independent validation data. Specifically, the methods were evaluated based on their ability to project plot-level larval density, identify high density plots for treatment, and rank plots in order based on density resulting in high numbers of sea lampreys killed per hectare treated. Performance was variable, and no single method outperformed the others for all metrics. Although the sampling-based estimation method and the GLM based on catch data performed adequately for estimating density and identifying high density plots, the hybrid approach was identified as the best method to inform sea lamprey control decisions in the St. Marys River due to its consistent performance. Incorporating model-based approaches should lead to a more efficient and effective treatment program in the St. Marys River and aid in making decisions about the allocation of control resources.

\n

 

\n
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2014.05.012","usgsCitation":"Robinson, J.M., Wilberg, M.J., Adams, J.V., and Jones, M., 2015, Comparing methods for estimating larval sea lamprey (Petromyzon marinus) density in the St. Marys River for the purposes of control: Journal of Great Lakes Research, v. 40, no. 3, p. 739-747, https://doi.org/10.1016/j.jglr.2014.05.012.","productDescription":"9 p.","startPage":"739","endPage":"747","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050827","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":305618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"St. Marys River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.38186645507812,\n 46.31753266879284\n ],\n [\n -84.38186645507812,\n 46.57113464946037\n ],\n [\n -84.02755737304688,\n 46.57113464946037\n ],\n [\n -84.02755737304688,\n 46.31753266879284\n ],\n [\n -84.38186645507812,\n 46.31753266879284\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"559e49a9e4b0b94a64018f5e","contributors":{"authors":[{"text":"Robinson, Jason M.","contributorId":42866,"corporation":false,"usgs":true,"family":"Robinson","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilberg, Michael J.","contributorId":36494,"corporation":false,"usgs":true,"family":"Wilberg","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":564207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":564205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Michael L.","contributorId":7219,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":564208,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70095741,"text":"70095741 - 2015 - Trophic state in Voyageurs National Park lakes before and after implementation of a revised water-level management plan","interactions":[],"lastModifiedDate":"2017-06-29T12:14:40","indexId":"70095741","displayToPublicDate":"2014-08-24T08:23:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Trophic state in Voyageurs National Park lakes before and after implementation of a revised water-level management plan","docAbstract":"

We compiled Secchi depth, total phosphorus, and chlorophyll a (Chla) data from Voyageurs National Park lakes and compared datasets before and after a new water-level management plan was implemented in January 2000. Average Secchi depth transparency improved (from 1.9 to 2.1 m, p = 0.020) between 1977-1999 and 2000-2011 in Kabetogama Lake for August samples only and remained unchanged in Rainy, Namakan, and Sand Point Lakes, and Black Bay in Rainy Lake. Average open-water season Chla concentration decreased in Black Bay (from an average of 13 to 6.0 μg/l, p = 0.001) and Kabetogama Lake (from 9.9 to 6.2 μg/l, p = 0.006) between 1977-1999 and 2000-2011. Trophic state index decreased significantly in Black Bay from 59 to 51 (p = 0.006) and in Kabetogama Lake from 57 to 50 (p = 0.006) between 1977-1999 and 2000-2011. Trophic state indices based on Chla indicated that after 2000, Sand Point, Namakan, and Rainy Lakes remained oligotrophic, whereas eutrophication has decreased in Kabetogama Lake and Black Bay. Although nutrient inputs from inflows and internal sources are still sufficient to produce annual cyanobacterial blooms and may inhibit designated water uses, trophic state has decreased for Kabetogama Lake and Black Bay and there has been no decline in lake ecosystem health since the implementation of the revised water-level management plan.

","language":"English","publisher":"American Water Resources Association","doi":"10.1111/jawr.12234","usgsCitation":"Christensen, V.G., and Maki, R., 2015, Trophic state in Voyageurs National Park lakes before and after implementation of a revised water-level management plan: Journal of the American Water Resources Association, v. 51, no. 1, p. 99-111, https://doi.org/10.1111/jawr.12234.","productDescription":"13 p.","startPage":"99","endPage":"111","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035598","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":472476,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jawr.12234","text":"Publisher Index Page"},{"id":283869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294437,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12234"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyaguers National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.203689,48.299689 ], [ -93.203689,48.631628 ], [ -92.453285,48.631628 ], [ -92.453285,48.299689 ], [ -93.203689,48.299689 ] ] ] } } ] }","volume":"51","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-08-12","publicationStatus":"PW","scienceBaseUri":"5423dd2fe4b037b608f9d4b0","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":491418,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70138844,"text":"70138844 - 2015 - The role of citzens in detecting and responding to a rapid marine invasion","interactions":[],"lastModifiedDate":"2016-08-03T10:36:29","indexId":"70138844","displayToPublicDate":"2014-08-21T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"The role of citzens in detecting and responding to a rapid marine invasion","docAbstract":"

Documenting and responding to species invasions requires innovative strategies that account for ecological and societal complexities. We used the recent expansion of Indo-Pacific lionfish (Pterois volitans/miles) throughout northern Gulf of Mexico coastal waters to evaluate the role of stakeholders in documenting and responding to a rapid marine invasion. We coupled an online survey of spearfishers and citizen science monitoring programs with traditional fishery-independent data sources and found that citizen observations documented lionfish 1–2 years earlier and more frequently than traditional reef fish monitoring programs. Citizen observations first documented lionfish in 2010 followed by rapid expansion and proliferation in 2011 (+367%). From the survey of spearfishers, we determined that diving experience and personal observations of lionfish strongly influenced perceived impacts, and these perceptions were powerful predictors of support for initiatives. Our study demonstrates the value of engaging citizens for assessing and responding to large-scale and time-sensitive conservation problems.

","language":"English","publisher":"Wiley","doi":"10.1111/conl.12127","usgsCitation":"Scyphers, S.B., Powers, S.P., Akins, J.L., Drymon, J., Martin, C.M., Schobernd, Z.H., Schofield, P., Shipp, R.L., and Switzer, T.S., 2015, The role of citzens in detecting and responding to a rapid marine invasion: Conservation Letters, v. 8, no. 4, p. 242-250, https://doi.org/10.1111/conl.12127.","productDescription":"9 p.","startPage":"242","endPage":"250","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037956","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.12127","text":"Publisher Index Page"},{"id":297480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.362548828125,\n 27.410785702577023\n ],\n [\n -90.362548828125,\n 30.779598396611537\n ],\n [\n -83.64990234375,\n 30.779598396611537\n ],\n [\n -83.64990234375,\n 27.410785702577023\n ],\n [\n -90.362548828125,\n 27.410785702577023\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-21","publicationStatus":"PW","scienceBaseUri":"54dd2c70e4b08de9379b37f2","contributors":{"authors":[{"text":"Scyphers, Stephen B.","contributorId":138869,"corporation":false,"usgs":false,"family":"Scyphers","given":"Stephen","email":"","middleInitial":"B.","affiliations":[{"id":12554,"text":"University of South Alabama and Dauphin Island Sea Lab, Dauphin","active":true,"usgs":false}],"preferred":false,"id":539050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, Sean P.","contributorId":138867,"corporation":false,"usgs":false,"family":"Powers","given":"Sean","email":"","middleInitial":"P.","affiliations":[{"id":12554,"text":"University of South Alabama and Dauphin Island Sea Lab, Dauphin","active":true,"usgs":false}],"preferred":false,"id":539048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akins, J. 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However, until 2011 there was no standardized methodology available to provide guidelines for vitrinite reflectance measurements in shale. Efforts to correct this deficiency resulted in publication of ASTM D7708: Standard test method for microscopical determination of the reflectance of vitrinite dispersed in sedimentary rocks. In 2012-2013, an interlaboratory exercise was conducted to establish precision limits for the D7708 measurement technique. Six samples, representing a wide variety of shale, were tested in duplicate by 28 analysts in 22 laboratories from 14 countries. Samples ranged from immature to overmature (0.31-1.53% Ro), from organic-lean to organic-rich (1-22 wt.% total organic carbon), and contained Type I (lacustrine), Type II (marine), and Type III (terrestrial) kerogens. Repeatability limits (maximum difference between valid repetitive results from same operator, same conditions) ranged from 0.03-0.11% absolute reflectance, whereas reproducibility limits (maximum difference between valid results obtained on same test material by different operators, different laboratories) ranged from 0.12-0.54% absolute reflectance. Repeatability and reproducibility limits degraded consistently with increasing maturity and decreasing organic content. However, samples with terrestrial kerogens (Type III) fell off this trend, showing improved levels of reproducibility due to higher vitrinite content and improved ease of identification. Operators did not consistently meet the reporting requirements of the test method, indicating that a common reporting template is required to improve data quality. The most difficult problem encountered was the petrographic distinction of solid bitumens and low-reflecting inert macerals from vitrinite when vitrinite occurred with reflectance ranges overlapping the other components. Discussion among participants suggested this problem could not be easily corrected via kerogen concentration or solvent extraction and is related to operator training and background. No statistical difference in mean reflectance was identified between participants reporting bitumen reflectance vs. vitrinite reflectance vs. a mixture of bitumen and vitrinite reflectance values, suggesting empirical conversion schemes should be treated with caution. Analysis of reproducibility limits obtained during this exercise in comparison to reproducibility limits from historical interlaboratory exercises suggests use of a common methodology (D7708) improves interlaboratory precision. Future work will investigate opportunities to improve reproducibility in high maturity, organic-lean shale varieties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine and Petroleum Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2014.07.015","usgsCitation":"Hackley, P.C., Araujo, C.V., Borrego, A.G., Bouzinos, A., Cardott, B., Cook, A.C., Eble, C., Flores, D., Gentzis, T., Goncalves, P.A., Filho, J.G., Hamor-Vido, M., Jelonek, I., Kommeren, K., Knowles, W., Kus, J., Mastalerz, M., Menezes, T.R., Newman, J., Pawlewicz, M., Pickel, W., Potter, J., Ranasinghe, P., Read, H., Reyes, J., Rodriguez, G.D., de Souza, I.V., Suarez-Ruiz, I., Sykorova, I., and Valentine, B.J., 2015, Standardization of reflectance measurements in dispersed organic matter: results of an exercise to improve interlaboratory agreement: Marine and Petroleum Geology, v. 59, p. 22-34, 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Fernandes","affiliations":[],"preferred":false,"id":498240,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Suarez-Ruiz, Isabel","contributorId":75072,"corporation":false,"usgs":true,"family":"Suarez-Ruiz","given":"Isabel","affiliations":[],"preferred":false,"id":498242,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Sykorova, Ivana","contributorId":76236,"corporation":false,"usgs":true,"family":"Sykorova","given":"Ivana","email":"","affiliations":[],"preferred":false,"id":498243,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":498220,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}} ,{"id":70119519,"text":"70119519 - 2015 - Please don't misuse the museum: 'declines' may be statistical","interactions":[],"lastModifiedDate":"2015-02-23T16:12:41","indexId":"70119519","displayToPublicDate":"2014-08-07T14:23:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Please don't misuse the museum: 'declines' may be statistical","docAbstract":"

Detecting declines in populations at broad spatial scales takes enormous effort, and long-term data are often more sparse than is desired for estimating trends, identifying drivers for population changes, framing conservation decisions or taking management actions. Museum records and historic data can be available at large scales across multiple decades, and are therefore an attractive source of information on the comparative status of populations. However, changes in populations may be real (e.g., in response to environmental covariates) or resulting from variation in our ability to observe the true population response (also possibly related to environmental covariates). This is a (statistical) nuisance in understanding the true status of a population. Evaluating statistical hypotheses alongside more interesting ecological ones is important in the appropriate use of museum data. Two statistical considerations are generally applicable to use of museum records: first without initial random sampling, comparison with contemporary results cannot provide inference to the entire range of a species, and second the availability of only some individuals in a population may respond to environmental changes. Changes in the availability of individuals may reduce the proportion of the population that is present and able to be counted on a given survey event, resulting in an apparent decline even when population size is stable.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley-Blackwell Publishing Ltd.","publisherLocation":"Oxford, United Kingdom","doi":"10.1111/gcb.12702","usgsCitation":"Grant, E., 2015, Please don't misuse the museum: 'declines' may be statistical: Global Change Biology, v. 21, no. 3, p. 1018-1024, https://doi.org/10.1111/gcb.12702.","productDescription":"7 p.","startPage":"1018","endPage":"1024","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059011","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":291858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291855,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12702"}],"volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-09-09","publicationStatus":"PW","scienceBaseUri":"53e484b6e4b0fff4042801c9","contributors":{"authors":[{"text":"Grant, Evan H. Campbell","contributorId":14686,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","affiliations":[],"preferred":false,"id":497687,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70129652,"text":"70129652 - 2015 - Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species","interactions":[],"lastModifiedDate":"2018-03-26T11:37:30","indexId":"70129652","displayToPublicDate":"2014-08-01T14:28:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1936,"text":"ICES Journal of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species","docAbstract":"

Many methods have been developed in the last 70 years to predict the natural mortality rate, M, of a stock based on empirical evidence from comparative life history studies. These indirect or empirical methods are used in most stock assessments to (i) obtain estimates of M in the absence of direct information, (ii) check on the reasonableness of a direct estimate of M, (iii) examine the range of plausible M estimates for the stock under consideration, and (iv) define prior distributions for Bayesian analyses. The two most cited empirical methods have appeared in the literature over 2500 times to date. Despite the importance of these methods, there is no consensus in the literature on how well these methods work in terms of prediction error or how their performance may be ranked. We evaluate estimators based on various combinations of maximum age (tmax), growth parameters, and water temperature by seeing how well they reproduce >200 independent, direct estimates of M. We use tenfold cross-validation to estimate the prediction error of the estimators and to rank their performance. With updated and carefully reviewed data, we conclude that a tmax-based estimator performs the best among all estimators evaluated. The tmax-based estimators in turn perform better than the Alverson–Carney method based on tmax and the von Bertalanffy K coefficient, Pauly’s method based on growth parameters and water temperature and methods based just on K. It is possible to combine two independent methods by computing a weighted mean but the improvement over the tmax-based methods is slight. Based on cross-validation prediction error, model residual patterns, model parsimony, and biological considerations, we recommend the use of a tmax-based estimator (M=4.899tmax&#x2212;0.916\">M=4.899t−0.916maxM=4.899tmax−0.916, prediction error = 0.32) when possible and a growth-based method (M=4.118K0.73L&#x221E;&#x2212;0.33\">M=4.118K0.73L−0.33∞M=4.118K0.73L∞−0.33 , prediction error = 0.6, length in cm) otherwise.

","language":"English","publisher":"International Council for the Exploration of the Sea","doi":"10.1093/icesjms/fsu136","usgsCitation":"Then, A., Hoenig, J., Hall, N.G., and Hewitt, D.A., 2015, Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species: ICES Journal of Marine Science, v. 72, no. 1, p. 82-92, https://doi.org/10.1093/icesjms/fsu136.","productDescription":"11 p.","startPage":"82","endPage":"92","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053553","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":472479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/icesjms/fsu136","text":"Publisher Index Page"},{"id":295737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-08-20","publicationStatus":"PW","scienceBaseUri":"544b6a1fe4b03653c63fb1cc","contributors":{"authors":[{"text":"Then, Amy Y.","contributorId":81038,"corporation":false,"usgs":true,"family":"Then","given":"Amy Y.","affiliations":[],"preferred":false,"id":503942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoenig, John M","contributorId":58211,"corporation":false,"usgs":true,"family":"Hoenig","given":"John M","affiliations":[],"preferred":false,"id":503940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Norman G.","contributorId":76245,"corporation":false,"usgs":true,"family":"Hall","given":"Norman","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":503941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":503939,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}