Geoelectric fields at the Earth's surface caused by magnetic storms constitute a hazard to the operation of electric power grids and related infrastructure. The ability to estimate these geoelectric fields in close to real time and provide local predictions would better equip the industry to mitigate negative impacts on their operations. Here we report progress toward this goal: development of robust algorithms that convolve a magnetic storm time series with a frequency domain impedance for a realistic three-dimensional (3-D) Earth, to estimate the local, storm time geoelectric field. Both frequency domain and time domain approaches are presented and validated against storm time geoelectric field data measured in Japan. The methods are then compared in the context of a real-time application.
","language":"English","publisher":"AGU","doi":"10.1002/2017SW001594","usgsCitation":"Kelbert, A., Balch, C., Pulkkinen, A., Egbert, G.D., Love, J.J., Rigler, E.J., and Fujii, I., 2017, Methodology for time-domain estimation of storm time geoelectric fields using the 3-D magnetotelluric response tensors: Space Weather, v. 15, no. 7, p. 874-894, https://doi.org/10.1002/2017SW001594.","productDescription":"21 p.","startPage":"874","endPage":"894","ipdsId":"IP-086748","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469635,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/53630","text":"External Repository"},{"id":346474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-19","publicationStatus":"PW","scienceBaseUri":"59dddc0be4b05fe04ccd05d1","contributors":{"authors":[{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balch, Christopher","contributorId":156386,"corporation":false,"usgs":false,"family":"Balch","given":"Christopher","affiliations":[{"id":20337,"text":"NOAA Space Weather Prediciton Center","active":true,"usgs":false}],"preferred":false,"id":712134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pulkkinen, Antti","contributorId":196970,"corporation":false,"usgs":false,"family":"Pulkkinen","given":"Antti","email":"","affiliations":[],"preferred":false,"id":712135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Egbert, Gary D.","contributorId":187462,"corporation":false,"usgs":false,"family":"Egbert","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":712136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712137,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712138,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fujii, Ikuko","contributorId":196971,"corporation":false,"usgs":false,"family":"Fujii","given":"Ikuko","email":"","affiliations":[],"preferred":false,"id":712139,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70190374,"text":"70190374 - 2017 - Potential impacts of sea level rise on native plant communities and associated cultural sites in coastal areas of the main Hawaiian Islands","interactions":[],"lastModifiedDate":"2018-01-04T12:29:51","indexId":"70190374","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":" Potential impacts of sea level rise on native plant communities and associated cultural sites in coastal areas of the main Hawaiian Islands","docAbstract":"Hawaiian coastal vegetation is comprised of plant species that are adapted to growing in extremely harsh conditions (salt spray, wave wash, wind, and substrates with limited nutrients) found in this habitat zone. Prior to human colonization of Hawai‘i coastal vegetation extended as a continuous ring around each of the islands, broken only by stretches of recent lava flows or unstable cliff faces. However, since humans arrived in Hawai‘i many areas that originally supported native coastal plant communities have been highly altered or the native vegetation totally removed for agriculture, housing, or resort development, destroyed by fire, displaced by invasive plants, eaten by introduced mammals, or damaged by recreational use. This study was focused on identifying sites that still retain relatively intact and highly diverse native coastal plant communities throughout the main Hawaiian Islands that may be further impacted by projected sea level rise. Approximately 40 percent of Hawai‘i’s coastlines were found to still contain high quality native coastal plant communities. Most of these sites were located in areas where the coastal vegetation can still migrate inshore in response to rising sea level and associated inundation by waves. However, six sites with high-quality native coastal vegetation were found on low-lying offshore islets that will be totally inundated with a one meter increase in sea level and thirty sites were found to have some type of fixed barrier, such as a paved road or structure, which would restrict the plants from colonizing the adjacent inland areas. Many of these sites also have other cultural resources that are fixed in place and will definitely be impacted by rising sea level. The results of this study can help refine our understanding of Hawai‘i’s remaining native coastal vegetation and aid with the development of management and restoration strategies to ensure the long-term survival of these unique plant communities.
","language":"English","publisher":"Pacific Islands Climate Change Cooperative","usgsCitation":"Jacobi, J.D., and Warshauer, F.R., 2017, Potential impacts of sea level rise on native plant communities and associated cultural sites in coastal areas of the main Hawaiian Islands, 49 p.","productDescription":"49 p.","ipdsId":"IP-087928","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":345227,"type":{"id":15,"text":"Index Page"},"url":"https://piccc.net/project/impacts-of-sea-level-rise-on-native-plant-communities-in-coastal-areas-of-the-main-hawaiian-islands/"},{"id":345268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a67d41e4b0fd9b77ce4799","contributors":{"authors":[{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":708764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warshauer, Frederick R.","contributorId":195960,"corporation":false,"usgs":false,"family":"Warshauer","given":"Frederick","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708765,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191321,"text":"70191321 - 2017 - A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry","interactions":[],"lastModifiedDate":"2017-10-04T11:13:01","indexId":"70191321","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry","docAbstract":"Body condition is a gauge of the energy stores of an animal, and though it has important implications for fitness, survival, competition, and disease, it is difficult to measure directly. Instead, body condition is frequently estimated as a body condition index (BCI) using length and mass measurements. A desirable BCI should accurately reflect true body condition and be unbiased with respect to size (i.e., mean BCI estimates should not change across different length or mass ranges), and choosing the most-appropriate BCI is not straightforward. We evaluated 11 different BCIs in 248 Burmese pythons (Python bivittatus), organisms that, like other snakes, exhibit simple body plans well characterized by length and mass. We found that the length-mass relationship in Burmese pythons is positively allometric, where mass increases rapidly with respect to length, and this allowed us to explore the effects of allometry on BCI verification. We employed three alternative measures of ‘true’ body condition: percent fat, scaled fat, and residual fat. The latter two measures mostly accommodated allometry in true body condition, but percent fat did not. Our inferences of the best-performing BCIs depended heavily on our measure of true body condition, with most BCIs falling into one of two groups. The first group contained most BCIs based on ratios, and these were associated with percent fat and body length (i.e., were biased). The second group contained the scaled mass index and most of the BCIs based on linear regressions, and these were associated with both scaled and residual fat but not body length (i.e., were unbiased). Our results show that potential differences in measures of true body condition should be explored in BCI verification studies, particularly in organisms undergoing allometric growth. Furthermore, the caveats of each BCI and similarities to other BCIs are important to consider when determining which BCI is appropriate for any particular taxon.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0180791","usgsCitation":"Falk, B., Snow, R.W., and Reed, R., 2017, A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry: PLoS ONE, v. 12, no. 1, p. 1-20, https://doi.org/10.1371/journal.pone.0180791.","productDescription":"e0180791; 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-079397","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469638,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0180791","text":"Publisher Index Page"},{"id":438254,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ST7NCG","text":"USGS data release","linkHelpText":"Sex, length, total mass, fat mass, and specimen condition data for 248 Burmese pythons (Python bivittatus) collected in the Florida Everglades"},{"id":346382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-19","publicationStatus":"PW","scienceBaseUri":"59d5f345e4b05fe04cc652ce","contributors":{"authors":[{"text":"Falk, Bryan 0000-0002-9690-5626 bfalk@usgs.gov","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":150075,"corporation":false,"usgs":true,"family":"Falk","given":"Bryan","email":"bfalk@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snow, Ray W.","contributorId":76449,"corporation":false,"usgs":false,"family":"Snow","given":"Ray","email":"","middleInitial":"W.","affiliations":[{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":711916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert N. reedr@usgs.gov","contributorId":149307,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":711917,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190366,"text":"70190366 - 2017 - An assessment of food habits, prey availability, and nesting success of golden eagles within the Desert Renewable Energy Conservation Plan Area","interactions":[],"lastModifiedDate":"2017-08-29T13:55:33","indexId":"70190366","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"An assessment of food habits, prey availability, and nesting success of golden eagles within the Desert Renewable Energy Conservation Plan Area","docAbstract":"Within the Desert Renewable Energy Conservation Plan area, which encompasses California’s Mojave Desert, development and operation of renewable energy facilities has the potential to\nimpact golden eagle (Aquila chrysaetos) populations through loss of habitat and prey base. Developing an effective conservation strategy that aims to mitigate for such operations is\nnecessary to lessen these impacts; however, this requires site-specific knowledge of how golden eagle productivity is influenced by variability in prey abundance. In this study, researchers\nstudied the food habits, prey availability, and nesting success of golden eagles in the conservation plan area over two seasons (2014 and 2015). In addition, as part of a collaborative\nresearch effort funded by the U.S. Fish and Wildlife Service, the same research was conducted within the adjoining Mojave Desert ecoregion of southern Nevada; these research results are\npresented as well.\nTo examine prey availability, researchers conducted nocturnal spotlight surveys along 140 fivekilometer transects. Diet selection was determined using motion-activated trail cameras and by\ncollecting prey remains at 20 active nests. Nesting success was determined by conducting occupancy and reproductive assessment surveys within 50 historic breeding areas and\nevaluating camera data collected at active nests. Preliminary results indicate high spatial variability in prey species abundance and selection. Black-tailed jackrabbits (Lepus californicus)\nrepresented over half the available prey, as well as nearly half the prey species identified by nest cameras.\nOverall, nesting success was 47 percent. Productivity was 0.67 young per occupied breeding area, and mean brood size was 1.4 young per successful nest. No evidence was found indicating\nthat camera installation caused nest failures or influenced eagle behavior for any sites. Results from this project are incorporated into a spatial demographic model linking prey availability\nand abundance to golden eagle productivity across a changing Mojave Desert landscape.","language":"English","publisher":"California Energy Commission","usgsCitation":"Longshore, K.M., Esque, T., Nussear, K., Johnson, D., Simes, M., and Inman, R.D., 2017, An assessment of food habits, prey availability, and nesting success of golden eagles within the Desert Renewable Energy Conservation Plan Area, xi, 57 p.","productDescription":"xi, 57 p.","numberOfPages":"66","ipdsId":"IP-079210","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":345272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345215,"type":{"id":15,"text":"Index Page"},"url":"https://www.energy.ca.gov/2017publications/CEC-500-2017-003/CEC-500-2017-003.pdf"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.597412109375,\n 34.31621838080741\n ],\n [\n -114.027099609375,\n 34.31621838080741\n ],\n [\n -114.027099609375,\n 37.98750437106374\n ],\n [\n -118.597412109375,\n 37.98750437106374\n ],\n [\n -118.597412109375,\n 34.31621838080741\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a67d41e4b0fd9b77ce47a0","contributors":{"authors":[{"text":"Longshore, Kathleen M. 0000-0001-6621-1271 longshore@usgs.gov","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":2677,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"longshore@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":708710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":708711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, Kenneth","contributorId":194538,"corporation":false,"usgs":false,"family":"Nussear","given":"Kenneth","affiliations":[{"id":24618,"text":"Department of Geography, University of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":708712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Diego R.","contributorId":189565,"corporation":false,"usgs":false,"family":"Johnson","given":"Diego R.","affiliations":[],"preferred":false,"id":708713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simes, Matthew 0000-0001-8982-5057 msimes@usgs.gov","orcid":"https://orcid.org/0000-0001-8982-5057","contributorId":167231,"corporation":false,"usgs":true,"family":"Simes","given":"Matthew","email":"msimes@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":708714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":708715,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190996,"text":"70190996 - 2017 - Climate change and tree-line ecosystems in the Sierra Nevada: Habitat suitability modelling to inform high-elevation forest dynamics monitoring","interactions":[],"lastModifiedDate":"2017-10-16T14:58:51","indexId":"70190996","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SIEN/NRR—2017/1476","title":"Climate change and tree-line ecosystems in the Sierra Nevada: Habitat suitability modelling to inform high-elevation forest dynamics monitoring","docAbstract":"Whitebark pine and foxtail pine serve foundational roles in the subalpine zone of the Sierra Nevada. They provide the dominant structure in tree-line forests and regulate key ecosystem processes and community dynamics. Climate change models suggest that there will be changes in temperature regimes and in the timing and magnitude of precipitation within the current distribution of these species, and these changes may alter the species’ distributional limits. Other stressors include the non-native pathogen white pine blister rust and mountain pine beetle, which have played a role in the decline of whitebark pine throughout much of its range. The National Park Service is monitoring status and trends of these species. This report provides complementary information in the form of habitat suitability models to predict climate change impacts on the future distribution of these species within Sierra Nevada national parks.
We used maximum entropy modeling to build habitat suitability models by relating species occurrence to environmental variables. Species occurrence was available from 328 locations for whitebark pine and 244 for foxtail pine across the species’ distributions within the parks. We constructed current climate surfaces for modeling by interpolating data from weather stations. Climate surfaces included mean, minimum, and maximum temperature and total precipitation for January, April, July, and October. We downscaled five general circulation models for the 2050s and the 2090s from ~125 km2 to 1 km2 under both an optimistic and an extreme climate scenario to bracket potential climatic change and its influence on projected suitable habitat.
To describe anticipated changes in the distribution of suitable habitat, we compared, for each species, climate scenario, and time period, the current models with future models in terms of proportional change in habitat size, elevation distribution, model center points, and where habitat is predicted to expand or contract.
Overall, models indicated that suitable habitats for whitebark and foxtail pine are more likely to shift geographically within the parks by 2100 rather than decline precipitously. This implies park managers might focus conservation efforts on stressors other than climate change, working toward species resilience in the face of threats from introduced disease and elevated native insect damage. More specifically, further understanding of the incidence and severity of white pine blister rust and other stressors in high elevation white pines would help assess vulnerability from threats other than climate change.
A geochemical study was conducted on 37 springs discharging from the Toroweap Formation, Coconino Sandstone, Hermit Formation, Supai Group, and Redwall Limestone north of the Grand Canyon near areas of breccia-pipe uranium mining. Baseline concentrations were established for the elements As, B, Li, Se, SiO2, Sr, Tl, U, and V. Three springs exceeded U.S. Environmental Protection Agency drinking water standards: Fence Spring for arsenic, Pigeon Spring for selenium and uranium, and Willow (Hack) Spring for selenium. The majority of the spring sites had uranium values of less than 10 micrograms per liter (μg/L), but six springs discharging from all of the geologic units studied that are located stratigraphically above the Redwall Limestone had uranium values greater than 10 μg/L (Cottonwood [Tuckup], Grama, Pigeon, Rock, and Willow [Hack and Snake Gulch] Springs). The geochemical characteristics of these six springs with elevated uranium include Ca-Mg-SO4 water type, circumneutral pH, high specific conductance, correlation and multivariate associations between U, Mo, Sr, Se, Li, and Zn, low 87Sr/86Sr, low 234U/238U activity ratios (1.34–2.31), detectable tritium, and carbon isotopic interpretation indicating they may be a mixture of modern and pre-modern waters. Similar geochemical compositions of spring waters having elevated uranium concentrations are observed at sites located both near and away from sites of uranium-mining activities in the present study. Therefore, mining does not appear to explain the presence of elevated uranium concentrations in groundwater at the six springs noted above. The elevated uranium at the six previously mentioned springs may be influenced by iron mineralization associated with mineralized breccia pipe deposits. Six springs discharging from the Coconino Sandstone (Upper Jumpup, Little, Horse, and Slide Springs) and Redwall Limestone (Kanab and Side Canyon Springs) contained water with corrected radiocarbon ages as much as 9,300 years old. Of the springs discharging water with radiocarbon age, Kanab and Side Canyon Springs contain tritium of more than 1.3 picocuries per liter (pCi/L), indicating they may contain a component of modern water recharged after 1952. Springs containing high values of tritium (greater than 5.1 pCi/L), which may suggest a significant component of modern water, include Willow (Hack), Saddle Horse, Cottonwood (Tuckup), Hotel, Bitter, Unknown, Hole in the Wall, and Hanging Springs. Fence and Rider Springs, located on the eastern end of the study area near the Colorado River, have distinctly different geochemical compositions compared to the other springs of the study. Additionally, water from Fence Spring has the highest 87Sr/86Sr for samples analyzed from this study with a value greater than those known in sedimentary rocks from the region. Strontium isotope data likely indicate that water discharging at Fence Spring has interacted with Precambrian basement rocks. Rider Spring had the most depleted values of stable O and H isotopes indicating that recharge, if recent, occurred at higher elevations or was recharged during earlier, cooler-climate conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175068","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Beisner, K.R., Tillman, F.D., Anderson, J.R., Antweiler, R.C., and Bills, D.J., 2017, Geochemical characterization of groundwater discharging from springs north of the Grand Canyon, Arizona, 2009–2016: U.S. Geological Survey Scientific Investigations Report 2017–5068, 58 p., https://doi.org/10.3133/sir20175068.","productDescription":"Report: vi, 58 p.; 6 Appendixes","onlineOnly":"Y","ipdsId":"IP-084230","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":344518,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5068/sir20175068_appendixes.xlsx","text":"Appendixes 1–6","size":"85 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5068"},{"id":344517,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5068/sir20175068_.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5068"},{"id":344516,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5068/coverthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.4,\n 35.6\n ],\n [\n -111.6,\n 35.6\n ],\n [\n -111.6,\n 37\n ],\n [\n -113.4,\n 37\n ],\n [\n -113.4,\n 35.6\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
(520) 670-6671
Twenty-two papers on the study of tsunamis are included in Volume II of the PAGEOPH topical issue “Global Tsunami Science: Past and Future”. Volume I of this topical issue was published as PAGEOPH, vol. 173, No. 12, 2016 (Eds., E. L. Geist, H. M. Fritz, A. B. Rabinovich, and Y. Tanioka). Three papers in Volume II focus on details of the 2011 and 2016 tsunami-generating earthquakes offshore of Tohoku, Japan. The next six papers describe important case studies and observations of recent and historical events. Four papers related to tsunami hazard assessment are followed by three papers on tsunami hydrodynamics and numerical modelling. Three papers discuss problems of tsunami warning and real-time forecasting. The final set of three papers importantly investigates tsunamis generated by non-seismic sources: volcanic explosions, landslides, and meteorological disturbances. Collectively, this volume highlights contemporary trends in global tsunami research, both fundamental and applied toward hazard assessment and mitigation.
","language":"English","publisher":"Springer","doi":"10.1007/s00024-017-1638-3","usgsCitation":"Rabinovich, A.B., Fritz, H.M., Tanioka, Y., and Geist, E.L., 2017, Introduction to “Global tsunami science: Past and future, Volume II”: Pure and Applied Geophysics, v. 174, no. 8, p. 2883-2889, https://doi.org/10.1007/s00024-017-1638-3.","productDescription":"7 p.","startPage":"2883","endPage":"2889","ipdsId":"IP-089141","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461441,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00024-017-1638-3","text":"Publisher Index Page"},{"id":347267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"174","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-03","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d8e","contributors":{"authors":[{"text":"Rabinovich, Alexander B.","contributorId":177506,"corporation":false,"usgs":false,"family":"Rabinovich","given":"Alexander","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":713949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritz, Hermann M.","contributorId":194830,"corporation":false,"usgs":false,"family":"Fritz","given":"Hermann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanioka, Yuichiro","contributorId":177507,"corporation":false,"usgs":false,"family":"Tanioka","given":"Yuichiro","email":"","affiliations":[],"preferred":false,"id":713951,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":713948,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191925,"text":"70191925 - 2017 - Vegetation history since the last glacial maximum in the Ozark highlands (USA): A new record from Cupola Pond, Missouri","interactions":[],"lastModifiedDate":"2022-11-02T13:49:10.226901","indexId":"70191925","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation history since the last glacial maximum in the Ozark highlands (USA): A new record from Cupola Pond, Missouri","docAbstract":"The timing and drivers of vegetation dynamics and formation of no-analog plant communities during the last deglaciation in the unglaciated southeastern US are poorly understood. We present a multi-proxy record spanning the past 19,800 years from Cupola Pond in the Ozarks Mountains, consisting of replicate high-resolution pollen records, 25 AMS radiocarbon dates, and macrofossil, charcoal, and coprophilous spore analyses. Full-glacial Pinus and Picea forests gave way to no-analog vegetation after 17,400 yr BP, followed by development of Quercus-dominated Holocene forests, with late Holocene rises in Pinus and Nyssa. Vegetation transitions, replicated in different cores, are closely linked to hemispheric climate events. Rising Quercus abundances coincide with increasing Northern Hemisphere temperatures and CO2 at 17,500 yr BP, declining Pinus and Picea at 14,500 yr BP are near the Bølling-Allerød onset, and rapid decline of Fraxinus and rise of Ostrya/Carpinus occur 12,700 yr BP during the Younger Dryas. The Cupola no-analog vegetation record is unusual for its early initiation (17,000 yr BP) and for its three vegetation zones, representing distinct rises of Fraxinus and Ostrya/Carpinus. Sporormiella was absent and sedimentary charcoal abundances were low throughout, suggesting that fire and megaherbivores were not locally important agents of disturbance and turnover. The Cupola record thus highlights the complexity of the late-glacial no-analog communities and suggests direct climatic regulation of their formation and disassembly.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.06.024","usgsCitation":"Jones, R.A., Williams, J.W., and Jackson, S.T., 2017, Vegetation history since the last glacial maximum in the Ozark highlands (USA): A new record from Cupola Pond, Missouri: Quaternary Science Reviews, v. 170, p. 174-187, https://doi.org/10.1016/j.quascirev.2017.06.024.","productDescription":"14 p.","startPage":"174","endPage":"187","ipdsId":"IP-080506","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":469645,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2017.06.024","text":"Publisher Index Page"},{"id":346965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Cupola Pond","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.09690969045707,\n 36.80559507121448\n ],\n [\n -91.09690969045707,\n 36.79505053532908\n ],\n [\n -91.0801260704634,\n 36.79505053532908\n ],\n [\n -91.0801260704634,\n 36.80559507121448\n ],\n [\n -91.09690969045707,\n 36.80559507121448\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"170","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e9b994e4b05fe04cd65c71","contributors":{"authors":[{"text":"Jones, Rachel A.","contributorId":197555,"corporation":false,"usgs":false,"family":"Jones","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, John W.","contributorId":16761,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":713723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":713721,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193458,"text":"70193458 - 2017 - Landscape capability predicts upland game bird abundance and occurrence","interactions":[],"lastModifiedDate":"2017-11-10T18:36:35","indexId":"70193458","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Landscape capability predicts upland game bird abundance and occurrence","docAbstract":"Landscape capability (LC) models are a spatial tool with potential applications in conservation planning. We used survey data to validate LC models as predictors of occurrence and abundance at broad and fine scales for American woodcock (Scolopax minor) and ruffed grouse (Bonasa umbellus). Landscape capability models were reliable predictors of occurrence but were less indicative of relative abundance at route (11.5–14.6 km) and point scales (0.5–1 km). As predictors of occurrence, LC models had high sensitivity (0.71–0.93) and were accurate (0.71–0.88) and precise (0.88 and 0.92 for woodcock and grouse, respectively). Models did not predict point-scale abundance independent of the ability to predict occurrence of either species. The LC models are useful predictors of patterns of occurrences in the northeastern United States, but they have limited utility as predictors of fine-scale or route-specific abundances.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21265","usgsCitation":"Loman, Z., Blomberg, E.J., DeLuca, W., Harrison, D.J., Loftin, C., and Wood, P.B., 2017, Landscape capability predicts upland game bird abundance and occurrence: Journal of Wildlife Management, v. 81, no. 6, p. 1110-1116, https://doi.org/10.1002/jwmg.21265.","productDescription":"7 p.","startPage":"1110","endPage":"1116","ipdsId":"IP-076384","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","scienceBaseUri":"5a06c8cae4b09af898c86104","contributors":{"authors":[{"text":"Loman, Zachary G.","contributorId":145932,"corporation":false,"usgs":false,"family":"Loman","given":"Zachary G.","affiliations":[],"preferred":false,"id":721640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blomberg, Erik J.","contributorId":17543,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":721641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLuca, William","contributorId":192836,"corporation":false,"usgs":false,"family":"DeLuca","given":"William","affiliations":[],"preferred":false,"id":721642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, Daniel J.","contributorId":200256,"corporation":false,"usgs":false,"family":"Harrison","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721644,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192610,"text":"70192610 - 2017 - Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","interactions":[],"lastModifiedDate":"2017-11-10T11:32:56","indexId":"70192610","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","title":"Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","docAbstract":"Burbot, Lota lota (Linnaeus), is a regionally popular sportfish in the Wind River drainage of Wyoming, USA, at the southern boundary of the range of the species. Recent declines in burbot abundances were hypothesised to be caused by overexploitation, entrainment in irrigation canals and habitat loss. This study addressed the overexploitation hypothesis using tagging data to generate reliable exploitation, abundance and density estimates from a multistate capture–recapture model that accounted for incomplete angler reporting and tag loss. Exploitation rate μ was variable among the study lakes and inversely correlated with density. Exploitation thresholds μ40 associated with population densities remaining above 40% of carrying capacity were generated to characterise risk of overharvest using exploitation and density estimates from tagging data and a logistic surplus-production model parameterised with data from other burbot populations. Bull Lake (μ = 0.06, 95% CI: 0.03–0.11; μ40 = 0.18) and Torrey Lake (μ = 0.02, 95% CI: 0.00–0.11; μ40 = 0.18) had a low risk of overfishing, Upper Dinwoody Lake had intermediate risk (μ = 0.08, 95% CI: 0.02–0.32; μ40 = 0.18) and Lower Dinwoody Lake had high risk (μ = 0.32, 95% CI: 0.10–0.67; μ40 = 0.08). These exploitation and density estimates can be used to guide sustainable management of the Wind River drainage recreational burbot fishery and inform management of other burbot fisheries elsewhere.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12226","usgsCitation":"Lewandoski, S., Guy, C.S., Zale, A.V., Gerrity, P.C., Deromedi, J.W., Johnson, K.M., and Skates, D.L., 2017, Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model: Fisheries Management and Ecology, v. 24, no. 4, p. 298-307, https://doi.org/10.1111/fme.12226.","productDescription":"10 p.","startPage":"298","endPage":"307","ipdsId":"IP-076704","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","volume":"24","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"5a06c8cae4b09af898c86108","contributors":{"authors":[{"text":"Lewandoski, S. A.","contributorId":200246,"corporation":false,"usgs":false,"family":"Lewandoski","given":"S. A.","affiliations":[],"preferred":false,"id":721592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":716544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerrity, Paul C.","contributorId":104198,"corporation":false,"usgs":true,"family":"Gerrity","given":"Paul","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":721593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deromedi, J. W.","contributorId":200247,"corporation":false,"usgs":false,"family":"Deromedi","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":721594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, K. M.","contributorId":23513,"corporation":false,"usgs":true,"family":"Johnson","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721595,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skates, D. L.","contributorId":200248,"corporation":false,"usgs":false,"family":"Skates","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721596,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192595,"text":"70192595 - 2017 - Characterizing meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey","interactions":[],"lastModifiedDate":"2017-11-21T11:24:14","indexId":"70192595","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Characterizing meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey","docAbstract":"Meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey remain undocumented despite a history of damaging slope movement extending back to at least 1903. This study applies an empirical approach to quantify the rainfall conditions leading to shallow landsliding based on analysis of overlapping historical precipitation data and records of landslide occurrence, and uses continuous monitoring to quantify antecedent soil moisture and hydrologic response to rainfall events at two failure-prone hillslopes. Analysis of historical rainfall data reveals that both extended duration and cumulative rainfall amounts are critical characteristics of many landslide-inducing storms, and is consistent with current monitoring results that show notable increases in shallow soil moisture and pore-water pressure in continuous rainfall periods. Monitoring results show that shallow groundwater levels and soil moisture increase from annual lows in late summer-early fall to annual highs in late winter-early spring, and historical data indicate that shallow landslides occur most commonly from tropical cyclones in late summer through fall and nor’easters in spring. Based on this seasonality, we derived two provisional rainfall thresholds using a limited dataset of documented landslides and rainfall conditions for each season and storm type. A lower threshold for landslide initiation in spring corresponds with high antecedent moisture conditions, and higher rainfall amounts are required to induce shallow landslides during the drier soil moisture conditions in late summer-early fall.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":" Landslides: Putting Experience, Knowledge and Emerging Technologies into Practice:Special Publication 27","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"3rd North American Symposium on Landslides","conferenceDate":"June 4–8, 2017","conferenceLocation":"Roanoke, VA","language":"English","publisher":"Association of Environmental & Engineering Geologists (AEG)","isbn":"978-0-9897253-7-8","usgsCitation":"Ashland, F., Fiore, A.R., and Reilly, P.A., 2017, Characterizing meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey, in Landslides: Putting Experience, Knowledge and Emerging Technologies into Practice:Special Publication 27, Roanoke, VA, June 4–8, 2017, p. 461-472.","productDescription":"12 p.","startPage":"461","endPage":"472","ipdsId":"IP-081612","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":349185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Atlantic Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.0643310546875,\n 40.349683979095545\n ],\n [\n -73.95584106445312,\n 40.349683979095545\n ],\n [\n -73.95584106445312,\n 40.42499671108253\n ],\n [\n -74.0643310546875,\n 40.42499671108253\n ],\n [\n -74.0643310546875,\n 40.349683979095545\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230cb","contributors":{"editors":[{"text":"De Graff, Jerome V.","contributorId":195393,"corporation":false,"usgs":false,"family":"De Graff","given":"Jerome","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":722952,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Shakoor, Abdul","contributorId":200638,"corporation":false,"usgs":false,"family":"Shakoor","given":"Abdul","email":"","affiliations":[],"preferred":false,"id":722953,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Ashland, Francis 0000-0001-9948-0195 fashland@usgs.gov","orcid":"https://orcid.org/0000-0001-9948-0195","contributorId":198587,"corporation":false,"usgs":true,"family":"Ashland","given":"Francis","email":"fashland@usgs.gov","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":716486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191574,"text":"70191574 - 2017 - Response to comment on “Primary sources and toxicity of PAHs in Milwaukee-area streambed sediments”—The authors' reply","interactions":[],"lastModifiedDate":"2017-10-17T12:27:43","indexId":"70191574","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Response to comment on “Primary sources and toxicity of PAHs in Milwaukee-area streambed sediments”—The authors' reply","docAbstract":"No abstract available.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.3826","usgsCitation":"Baldwin, A.K., Corsi, S., Lutz, M.A., Ingersoll, C.G., Dorman, R.A., Magruder, C., and Magruder, M., 2017, Response to comment on “Primary sources and toxicity of PAHs in Milwaukee-area streambed sediments”—The authors' reply: Environmental Toxicology and Chemistry, v. 36, no. 8, p. 1981-1983, https://doi.org/10.1002/etc.3826.","productDescription":"3 p.","startPage":"1981","endPage":"1983","ipdsId":"IP-086183","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":346691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"59e71691e4b05fe04cd33199","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lutz, Michelle A. malutz@usgs.gov","contributorId":167259,"corporation":false,"usgs":true,"family":"Lutz","given":"Michelle","email":"malutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":712792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":712793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magruder, Christopher","contributorId":197179,"corporation":false,"usgs":false,"family":"Magruder","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":712794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magruder, Matthew","contributorId":197180,"corporation":false,"usgs":false,"family":"Magruder","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":712795,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70191708,"text":"70191708 - 2017 - Connecting crustal seismicity and earthquake-driven stress evolution in Southern California","interactions":[],"lastModifiedDate":"2017-10-23T16:10:42","indexId":"70191708","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Connecting crustal seismicity and earthquake-driven stress evolution in Southern California","docAbstract":"Tectonic stress in the crust evolves during a seismic cycle, with slow stress accumulation over interseismic periods, episodic stress steps at the time of earthquakes, and transient stress readjustment during a postseismic period that may last months to years. Static stress transfer to surrounding faults has been well documented to alter regional seismicity rates over both short and long time scales. While static stress transfer is instantaneous and long lived, postseismic stress transfer driven by viscoelastic relaxation of the ductile lower crust and mantle leads to additional, slowly varying stress perturbations. Both processes may be tested by comparing a decade-long record of regional seismicity to predicted time-dependent seismicity rates based on a stress evolution model that includes viscoelastic stress transfer. Here we explore crustal stress evolution arising from the seismic cycle in Southern California from 1981 to 2014 using five M≥6.5 source quakes: the M7.3 1992 Landers, M6.5 1992 Big Bear, M6.7 1994 Big Bear, M7.1 1999 Hector Mine, and M7.2 2010 El Mayor-Cucapah earthquakes. We relate the stress readjustment in the surrounding crust generated by each quake to regional seismicity using rate-and-state friction theory. Using a log likelihood approach, we quantify the potential to trigger seismicity of both static and viscoelastic stress transfer, finding that both processes have systematically shaped the spatial pattern of Southern California seismicity since 1992.
","language":"English","publisher":"AGU","doi":"10.1002/2017JB014200","usgsCitation":"Pollitz, F., and Cattania, C., 2017, Connecting crustal seismicity and earthquake-driven stress evolution in Southern California: Journal of Geophysical Research B: Solid Earth, v. 122, no. 8, p. 6473-6490, https://doi.org/10.1002/2017JB014200.","productDescription":"18 p.","startPage":"6473","endPage":"6490","ipdsId":"IP-083347","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469639,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017jb014200","text":"External Repository"},{"id":347170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 32\n ],\n [\n -114.5,\n 32\n ],\n [\n -114.5,\n 36\n ],\n [\n -119,\n 36\n ],\n [\n -119,\n 32\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-14","publicationStatus":"PW","scienceBaseUri":"59eeffa6e4b0220bbd988f84","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cattania, Camilla 0000-0003-0031-1696","orcid":"https://orcid.org/0000-0003-0031-1696","contributorId":197284,"corporation":false,"usgs":false,"family":"Cattania","given":"Camilla","email":"","affiliations":[],"preferred":false,"id":713124,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189426,"text":"sir20175022M - 2017 - Field-trip guide to a volcanic transect of the Pacific Northwest","interactions":[{"subject":{"id":70189426,"text":"sir20175022M - 2017 - Field-trip guide to a volcanic transect of the Pacific Northwest","indexId":"sir20175022M","publicationYear":"2017","noYear":false,"chapter":"M","title":"Field-trip guide to a volcanic transect of the Pacific Northwest"},"predicate":"IS_PART_OF","object":{"id":70188710,"text":"sir20175022 - 2017 - Field-trip guides to selected volcanoes and volcanic landscapes of the western United States","indexId":"sir20175022","publicationYear":"2017","noYear":false,"title":"Field-trip guides to selected volcanoes and volcanic landscapes of the western United States"},"id":1}],"isPartOf":{"id":70188710,"text":"sir20175022 - 2017 - Field-trip guides to selected volcanoes and volcanic landscapes of the western United States","indexId":"sir20175022","publicationYear":"2017","noYear":false,"title":"Field-trip guides to selected volcanoes and volcanic landscapes of the western United States"},"lastModifiedDate":"2017-08-02T09:16:45","indexId":"sir20175022M","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5022","chapter":"M","title":"Field-trip guide to a volcanic transect of the Pacific Northwest","docAbstract":"The Pacific Northwest region of the United States provides world-class and historically important examples of a wide variety of volcanic features. This guide is designed to give a broad overview of the region’s diverse volcanism rather than focusing on the results of detailed studies; the reader should consult the reference list for more detailed information on each of the sites, and we have done our best to recognize previous field trip leaders who have written the pioneering guides. This trip derives from one offered as a component of the joint University of Idaho- Washington State University volcanology class taught from 1995 through 2014, and it borrows in theme from the classic field guide of Johnston and Donnelly-Nolan (1981).
For readers interested in using this field guide as an educational tool, we have included an appendix with supplemental references to resources that provide useful background information on relevant topics, as well as a few suggestions for field-based exercises that could be useful when bringing students to these locations in the future.
The 4-day trip begins with an examination of lava flow structures of the Columbia River Basalt, enormous lava fields that were emplaced during one of the largest eruptive episodes in Earth’s recent history. On the second day, the trip turns to the High Lava Plains, a bimodal volcanic province that transgressed from southeast to northwest from the Miocene through the Holocene, at the northern margin of the Basin and Range Province. This volcanic field provides excellent examples of welded ignimbrite, silicic lavas and domes, monogenetic basaltic lava fields, and hydrovolcanic features. The third day is devoted to a circumnavigation of Crater Lake, the result of one of the world’s best-documented caldera-forming eruptions. The caldera walls also expose the anatomy of Mount Mazama, a stratovolcano of the Cascade Range. The last day is spent at Newberry Volcano, a back-arc shield volcano topped by a caldera. Newberry is compositionally bimodal with an abundance of explosive and effusive deposits, including the youngest rhyolites in the Pacific Northwest.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175022M","usgsCitation":"Geist, Dennis, Wolff, John, and Harpp, Karen, 2017, Field-trip guide to a volcanic transect of the Pacific Northwest: U.S. Geological Survey Scientific Investigations Report 2017–5022–M, 31 p., https://doi.org/10.3133/sir20175022M.","productDescription":"ix, 31 p.","onlineOnly":"Y","ipdsId":"IP-080362","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":344510,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5022/m/coverthb.jpg"},{"id":344511,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/m/sir20175022m.pdf","text":"Report","size":"26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5022-M"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.595947265625,\n 42.309815415686664\n ],\n [\n -118.77319335937499,\n 42.309815415686664\n ],\n [\n -118.77319335937499,\n 45.98169518512228\n ],\n [\n -124.595947265625,\n 45.98169518512228\n ],\n [\n -124.595947265625,\n 42.309815415686664\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
We present a fully automated and scalable algorithm for quantifying surface water inundation in wetlands. Requiring no external training data, our algorithm estimates sub-pixel water fraction (SWF) over large areas and long time periods using Landsat data. We tested our SWF algorithm over three wetland sites across North America, including the Prairie Pothole Region, the Delmarva Peninsula and the Everglades, representing a gradient of inundation and vegetation conditions. We estimated SWF at 30-m resolution with accuracies ranging from a normalized root-mean-square-error of 0.11 to 0.19 when compared with various high-resolution ground and airborne datasets. SWF estimates were more sensitive to subtle inundated features compared to previously published surface water datasets, accurately depicting water bodies, large heterogeneously inundated surfaces, narrow water courses and canopy-covered water features. Despite this enhanced sensitivity, several sources of errors affected SWF estimates, including emergent or floating vegetation and forest canopies, shadows from topographic features, urban structures and unmasked clouds. The automated algorithm described in this article allows for the production of high temporal resolution wetland inundation data products to support a broad range of applications.
","language":"English","publisher":"MDPI","doi":"10.3390/rs9080807","usgsCitation":"DeVries, B., Huang, C., Lang, M.W., Jones, J., Huang, W., Creed, I., and Carroll, M.L., 2017, Automated quantification of surface water inundation in wetlands using optical satellite imagery: Remote Sensing, v. 9, no. 8, Article 807; 22 p., https://doi.org/10.3390/rs9080807.","productDescription":"Article 807; 22 p.","ipdsId":"IP-087428","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs9080807","text":"Publisher Index Page"},{"id":348619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-07","publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c94143","contributors":{"authors":[{"text":"DeVries, Ben 0000-0003-2136-3401","orcid":"https://orcid.org/0000-0003-2136-3401","contributorId":198971,"corporation":false,"usgs":false,"family":"DeVries","given":"Ben","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":717737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":717738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lang, Megan W.","contributorId":196284,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":717739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, John 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":717736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huang, Wenli 0000-0001-9608-1690","orcid":"https://orcid.org/0000-0001-9608-1690","contributorId":198973,"corporation":false,"usgs":false,"family":"Huang","given":"Wenli","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":717740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Creed, Irena F.","contributorId":81209,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":27655,"text":"Department of Biology, University of Western Ontario, London, ON Canada","active":true,"usgs":false}],"preferred":false,"id":717741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carroll, Mark L.","contributorId":145826,"corporation":false,"usgs":false,"family":"Carroll","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":16246,"text":"Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA","active":true,"usgs":false},{"id":16247,"text":"Sigma Space Corp, NASA Goddard Space Flight Center, Greenbelt, MD, USA","active":true,"usgs":false},{"id":7239,"text":"Science Systems and Applications, Inc.","active":true,"usgs":false}],"preferred":false,"id":721689,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193561,"text":"70193561 - 2017 - Geographic variation in winter adaptations of snowshoe hares (Lepus americanus)","interactions":[],"lastModifiedDate":"2017-11-13T16:29:02","indexId":"70193561","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Geographic variation in winter adaptations of snowshoe hares (Lepus americanus)","title":"Geographic variation in winter adaptations of snowshoe hares (Lepus americanus)","docAbstract":"Understanding adaptations of nonhibernating northern endotherms to cope with extreme cold is important because climate-induced changes in winter temperatures and snow cover are predicted to impact these species the most. We compared winter pelage characteristics and heat production of snowshoe hares (Lepus americanus Erxleben, 1777) on the southern edge of their range, in Pennsylvania (USA), to a northern population, in the Yukon (Canada), to investigate how hares might respond to changing environmental conditions. We also investigated how hares in Pennsylvania altered movement rates and resting spot selection to cope with variable winter temperatures. Hares from Pennsylvania had shorter, less dense, and less white winter coats than their northern counterparts, suggesting lower coat insulation. Hares in the southern population had lower pelage temperatures, indicating that they produced less heat than those in the northern population. In addition, hares in Pennsylvania did not select for resting spots that offered thermal advantages, but selected locations offering visual obstruction from predators. Movement rates were associated with ambient temperature, with the smallest movements occurring at the lower and upper range of observed ambient temperatures. Our results indicate that snowshoe hares may be able to adapt to future climate conditions via changes in pelage characteristics, metabolism, and behavior.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjz-2016-0165","usgsCitation":"Gigliotti, L., Diefenbach, D.R., and Sheriff, M., 2017, Geographic variation in winter adaptations of snowshoe hares (Lepus americanus): Canadian Journal of Zoology, v. 95, no. 8, p. 539-545, https://doi.org/10.1139/cjz-2016-0165.","productDescription":"7 p.","startPage":"539","endPage":"545","ipdsId":"IP-073614","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230bc","contributors":{"authors":[{"text":"Gigliotti, Laura C. 0000-0002-6390-4133","orcid":"https://orcid.org/0000-0002-6390-4133","contributorId":200327,"corporation":false,"usgs":false,"family":"Gigliotti","given":"Laura C.","affiliations":[],"preferred":false,"id":721937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheriff, M.J.","contributorId":92880,"corporation":false,"usgs":true,"family":"Sheriff","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":721938,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193640,"text":"70193640 - 2017 - Distribution and migration chronology of Eastern population sandhill cranes","interactions":[],"lastModifiedDate":"2018-03-29T14:26:33","indexId":"70193640","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and migration chronology of Eastern population sandhill cranes","docAbstract":"The Eastern Population (EP) of greater sandhill cranes (Antigone canadensis tabida; cranes) is expanding in size and geographic range. Little information exists regarding the geographic extent of breeding, migration, and wintering ranges, migration chronology, or use of staging areas for cranes in the EP. To obtain these data, we attached solar global positioning system (GPS) platform transmitting terminals (PTTs) to 42 sandhill cranes and monitored daily locations from December 2009 through August 2014. On average, tagged cranes settled in summer areas during late‐March in Minnesota (7%), Wisconsin (29%), Michigan, USA (21%), and Ontario, Canada (38%) and arrived at their winter terminus beginning mid‐December in Indiana (15%), Kentucky (3%), Tennessee (45%), Georgia (5%), and Florida (32%). Cranes initiated spring migration beginning mid‐February to their respective summer areas on routes similar to those used during fall migration. Twenty‐five marked cranes returned to the same summer area after a second spring migration, of which 19 (76%) settled <3 km from the estimated mean center of the summer area of the previous year. During the 2010–2012 United States Fish and Wildlife Service (USFWS) Cooperative Fall Abundance Survey for cranes in the EP, we estimated that approximately 29–31% of cranes that summered in both Wisconsin and the Lower Peninsula of Michigan were not in areas included in the survey. The information we collected on crane movements provides insight into distribution and migration chronology that will aid in assessment of the current USFWS fall survey. In addition, information on specific use sites can assist state and federal managers to identify and protect key staging and winter areas particularly during current and future recreational harvest seasons.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21272","usgsCitation":"Fronczak, D.L., Andersen, D.E., Hanna, E.E., and Cooper, T.R., 2017, Distribution and migration chronology of Eastern population sandhill cranes: Journal of Wildlife Management, v. 81, no. 6, p. 1021-1032, https://doi.org/10.1002/jwmg.21272.","productDescription":"12 p.","startPage":"1021","endPage":"1032","ipdsId":"IP-070501","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461443,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21272","text":"Publisher Index Page"},{"id":352953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"5afee823e4b0da30c1bfc3f7","contributors":{"authors":[{"text":"Fronczak, David L.","contributorId":191560,"corporation":false,"usgs":false,"family":"Fronczak","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":732039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanna, Everett E.","contributorId":191561,"corporation":false,"usgs":false,"family":"Hanna","given":"Everett","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":732040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, Thomas R.","contributorId":191468,"corporation":false,"usgs":false,"family":"Cooper","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":732041,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193650,"text":"70193650 - 2017 - Why social values cannot be changed for the sake of conservation","interactions":[],"lastModifiedDate":"2017-11-08T13:31:58","indexId":"70193650","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Why social values cannot be changed for the sake of conservation","docAbstract":"The hope for creating widespread change in social values has endured among conservation professionals since early calls by Aldo Leopold for a “land ethic.” However, there has been little serious attention in conservation to the fields of investigation that address values, how they are formed, and how they change. We introduce a social–ecological systems conceptual approach in which values are seen not only as motivational goals people hold but also as ideas that are deeply embedded in society's material culture, collective behaviors, traditions, and institutions. Values define and bind groups, organizations, and societies; serve an adaptive role; and are typically stable across generations. When abrupt value changes occur, they are in response to substantial alterations in the social–ecological context. Such changes build on prior value structures and do not result in complete replacement. Given this understanding of values, we conclude that deliberate efforts to orchestrate value shifts for conservation are unlikely to be effective. Instead, there is an urgent need for research on values with a multilevel and dynamic view that can inform innovative conservation strategies for working within existing value structures. New directions facilitated by a systems approach will enhance understanding of the role values play in shaping conservation challenges and improve management of the human component of conservation.
","language":"English","publisher":"Wiley","doi":"10.1111/cobi.12855","usgsCitation":"Manfredo, M.J., Bruskotter, J.T., Teel, T.L., Fulton, D.C., Schwartz, S.H., Arlinghaus, R., Oishi, S., Uskul, A.K., Redford, K., Kitayama, S., and Sullivan, L., 2017, Why social values cannot be changed for the sake of conservation: Conservation Biology, v. 31, no. 4, p. 772-780, https://doi.org/10.1111/cobi.12855.","productDescription":"9 p.","startPage":"772","endPage":"780","ipdsId":"IP-075737","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.12855","text":"Publisher Index Page"},{"id":348459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-13","publicationStatus":"PW","scienceBaseUri":"5a0425b5e4b0dc0b45b45334","contributors":{"authors":[{"text":"Manfredo, Michael J.","contributorId":127326,"corporation":false,"usgs":false,"family":"Manfredo","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":721158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruskotter, Jeremy T.","contributorId":171472,"corporation":false,"usgs":false,"family":"Bruskotter","given":"Jeremy","email":"","middleInitial":"T.","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":721159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teel, Tara L.","contributorId":80169,"corporation":false,"usgs":false,"family":"Teel","given":"Tara","email":"","middleInitial":"L.","affiliations":[{"id":35701,"text":"CO State University, Fort Collins","active":true,"usgs":false}],"preferred":false,"id":721160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721185,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Shalom H.","contributorId":200104,"corporation":false,"usgs":false,"family":"Schwartz","given":"Shalom","email":"","middleInitial":"H.","affiliations":[{"id":35700,"text":"The Hebrew University of Jerusalem, Mount Scopus, Jerusalem, Israel","active":true,"usgs":false}],"preferred":false,"id":721186,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arlinghaus, Robert","contributorId":32425,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"Robert","email":"","affiliations":[{"id":17980,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":721187,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oishi, Shigehiro","contributorId":6404,"corporation":false,"usgs":false,"family":"Oishi","given":"Shigehiro","email":"","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":721217,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Uskul, Ayse K.","contributorId":20279,"corporation":false,"usgs":false,"family":"Uskul","given":"Ayse","email":"","middleInitial":"K.","affiliations":[{"id":35702,"text":"Keynes College, University of Kent, Canterbury, Kent, U.K.","active":true,"usgs":false}],"preferred":false,"id":721218,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Redford, Kent","contributorId":93428,"corporation":false,"usgs":false,"family":"Redford","given":"Kent","email":"","affiliations":[{"id":35703,"text":"Archipelago Consulting, Portland, ME, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":721219,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kitayama, Shinobu","contributorId":187424,"corporation":false,"usgs":false,"family":"Kitayama","given":"Shinobu","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721220,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sullivan, Leeann","contributorId":51865,"corporation":false,"usgs":false,"family":"Sullivan","given":"Leeann","email":"","affiliations":[{"id":35701,"text":"CO State University, Fort Collins","active":true,"usgs":false}],"preferred":false,"id":721253,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70191446,"text":"70191446 - 2017 - Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?","interactions":[],"lastModifiedDate":"2017-10-12T13:24:01","indexId":"70191446","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?","docAbstract":"Postwildfire debris flows are frequently triggered by runoff following high-intensity rainfall, but the physical mechanisms by which water-dominated flows transition to debris flows are poorly understood relative to debris flow initiation from shallow landslides. In this study, we combined a numerical model with high-resolution hydrologic and geomorphic data sets to test two different hypotheses for debris flow initiation during a rainfall event that produced numerous debris flows within a recently burned drainage basin. Based on simulations, large volumes of sediment eroded from the hillslopes were redeposited within the channel network throughout the storm, leading to the initiation of numerous debris flows as a result of the mass failure of sediment dams that built up within the channel. More generally, results provide a quantitative framework for assessing the potential of runoff-generated debris flows based on sediment supply and hydrologic conditions.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL074243","usgsCitation":"McGuire, L., Rengers, F.K., Kean, J.W., and Staley, D.M., 2017, Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?: Geophysical Research Letters, v. 44, no. 14, p. 7310-7319, https://doi.org/10.1002/2017GL074243.","productDescription":"10 p.","startPage":"7310","endPage":"7319","ipdsId":"IP-088758","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469640,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl074243","text":"Publisher Index Page"},{"id":346555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"44","issue":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-25","publicationStatus":"PW","scienceBaseUri":"59e07f30e4b05fe04ccfcd14","contributors":{"authors":[{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":712303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712306,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189156,"text":"ofr20171079 - 2017 - Compilation of geospatial data for the mineral industries and related infrastructure of Latin America and the Caribbean","interactions":[],"lastModifiedDate":"2017-08-28T13:20:56","indexId":"ofr20171079","displayToPublicDate":"2017-07-31T17:35:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1079","title":"Compilation of geospatial data for the mineral industries and related infrastructure of Latin America and the Caribbean","docAbstract":"This report describes the U.S. Geological Survey’s (USGS) ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports in Latin America and the Caribbean. The report includes an overview of data sources and an explanation of the geospatial PDF map format.
The geodatabase and geospatial data layers described in this report create a new geographic information product in the form of a geospatial portable document format (PDF) map. The geodatabase contains additional data layers from USGS, foreign governmental, and open-source sources as follows: (1) coal occurrence areas, (2) electric power generating facilities, (3) electric power transmission lines, (4) hydrocarbon resource cumulative production data, (5) liquefied natural gas terminals, (6) oil and gas concession leasing areas, (7) oil and gas field center points, (8) oil and gas pipelines, (9) USGS petroleum provinces, (10) railroads, (11) recoverable proven plus probable hydrocarbon resources, (12) major cities, (13) major rivers, and (14) undiscovered porphyry copper tracts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171079","collaboration":"Prepared in cooperation with the Inter-American Development Bank","usgsCitation":"Baker, M.S., Buteyn, S.D., Freeman, P.A., Trippi, M.H., and Trimmer, L.M., III, 2017, Compilation of geospatial data for the mineral industries and related infrastructure of Latin America and the Caribbean: U.S. Geological Survey Open-File Report 2017–1079, 87 p., 1 geodatabase and 1 geospatial PDF map, https://doi.org/10.3133/ofr20171079. ","productDescription":"Report: xi, 87 p; 3 Data Releases; Geodatabase and Metadata; Map: 8.5 x 11.0 inches","numberOfPages":"104","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078672","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":438258,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BZ6460","text":"USGS data release","linkHelpText":"Mineral commodity exporting ports of Latin America and the Caribbean"},{"id":344263,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/58093603e4b0f497e78f3f31","text":"USGS data release","description":"USGS data release","linkHelpText":"Mineral commodity exporting ports of Latin America and the Caribbean"},{"id":344257,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1079/coverthb.jpg"},{"id":344258,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1079/ofr20171079.pdf","text":"Report","size":"4.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1079"},{"id":344259,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2017/1079/ofr20171079_lac-indust-infra.pdf","text":"Geospatial Map","size":"29 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Compilation of Geospatial Data for the Mineral Industries and Related Infrastructure of Latin America and the Caribbean"},{"id":344260,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2017/1079/ofr20171079_lac-indust-infra.zip","text":"Geodatabase and metadata","size":"28.7 MB","linkFileType":{"id":6,"text":"zip"}},{"id":344261,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MG7MM6","text":"USGS data release","description":"USGS data release","linkHelpText":"Mineral facilities of Latin America and the Caribbean"},{"id":344262,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GQ6VWG","text":"USGS data release","description":"USGS data release","linkHelpText":"Mineral exploration sites of Latin America and the Caribbean"}],"otherGeospatial":"Caribbean, Latin America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.828125,\n -57.51582286553883\n ],\n [\n -29.179687499999996,\n -57.51582286553883\n ],\n [\n -29.179687499999996,\n 34.30714385628804\n ],\n [\n -118.828125,\n 34.30714385628804\n ],\n [\n -118.828125,\n -57.51582286553883\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
Elevated concentrations of nitrogen in groundwater that discharges to surface-water bodies can degrade surface-water quality and habitats in the New Jersey Coastal Plain. An analysis of groundwater flow in the Kirkwood-Cohansey aquifer system and deeper confined aquifers that underlie the Barnegat Bay–Little Egg Harbor (BB-LEH) watershed and estuary was conducted by using groundwater-flow simulation, in conjunction with a particle-tracking routine, to provide estimates of groundwater flow paths and travel times to streams and the BB-LEH estuary.
Water-quality data from the Ambient Groundwater Quality Monitoring Network, a long-term monitoring network of wells distributed throughout New Jersey, were used to estimate the initial nitrogen concentration in recharge for five different land-use classes—agricultural cropland or pasture, agricultural orchard or vineyard, urban non-residential, urban residential, and undeveloped. Land use at the point of recharge within the watershed was determined using a geographic information system (GIS). Flow path starting locations were plotted on land-use maps for 1930, 1973, 1986, 1997, and 2002. Information on the land use at the time and location of recharge, time of travel to the discharge location, and the point of discharge were determined for each simulated flow path. Particle-tracking analysis provided the link from the point of recharge, along the particle flow path, to the point of discharge, and the particle travel time. The travel time of each simulated particle established the recharge year. Land use during the year of recharge was used to define the nitrogen concentration associated with each flow path. The recharge-weighted average nitrogen concentration for all flow paths that discharge to the Toms River upstream from streamflow-gaging station 01408500 or to the BB-LEH estuary was calculated.
Groundwater input into the Barnegat Bay–Little Egg Harbor estuary from two main sources— indirect discharge from base flow to streams that eventually flow into the bay and groundwater discharge directly into the estuary and adjoining coastal wetlands— is summarized by quantity, travel time, and estimated nitrogen concentration. Simulated average groundwater discharge to streams in the watershed that flow into the BB-LEH estuary is approximately 400 million gallons per day. Particle-tracking results indicate that the travel time of 56 percent of this discharge is less than 7 years. Fourteen percent of the groundwater discharge to the streams in the BB-LEH watershed has a travel time of less than 7 years and originates in urban land. Analysis of flow-path simulations indicate that approximately 13 percent of the total groundwater flow through the study area discharges directly to the estuary and adjoining coastal wetlands (approximately 64 million gallons per day). The travel time of 19 percent of this discharge is less than 7 years. Ten percent of this discharge (1 percent of the total groundwater flow through the study area) originates in urban areas and has a travel time of less than 7 years. Groundwater that discharges to the streams that flow into the BB-LEH, in general, has shorter travel times, and a higher percentage of it originates in urban areas than does direct groundwater discharge to the Barnegat Bay–Little Egg Harbor estuary.
The simulated average nitrogen concentration in groundwater that discharges to the Toms River, upstream from streamflow-gaging station 01408500 was computed and compared to summary concentrations determined from analysis of multiple surface-water samples. The nitrogen concentration in groundwater that discharges directly to the estuary and adjoining coastal wetlands is a current data gap. The particle tracking methodology used in this study provides an estimate of this concentration.\"
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165169","collaboration":"Prepared in cooperation with the Barnegat Bay Partnership","usgsCitation":"Voronin, L.M., and Cauller, S.J., 2017, Simulated groundwater flow paths, travel time, and advective transport of nitrogen in the Kirkwood-Cohansey aquifer system, Barnegat Bay–Little Egg Harbor Watershed, New Jersey: U.S. Geological Survey Scientific Investigations Report 2016–5169, 17 p., https://doi.org/10.3133/sir20165169.","productDescription":"v, 17 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-077222","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":344342,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5169/sir20165169.pdf","text":"Report","size":"24.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5169"},{"id":346055,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55M0W","text":"USGS data release","description":"USGS data release","linkHelpText":"MODPATH particle-tracking analysis of groundwater flow and travel times to the Barnegat Bay-Little Egg Harbor estuary and streams within the Barnegat Bay-Little Egg Harbor watershed, New Jersey"},{"id":344341,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5169/coverthb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Kirkwood-Cohansey Aquifer System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.5,\n 40.25\n ],\n [\n -73.75,\n 40.25\n ],\n [\n -73.75,\n 39.5\n ],\n [\n -74.5,\n 39.5\n ],\n [\n -74.5,\n 40.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
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Understanding how climate change will impact natural and human communities is a crucial part of decision making and management related to the protection of our coasts. As the effects of climate change on ecological communities grow, the possibility of crossing tipping points or thresholds of viability increases the potential for rapid and possibly irreversible changes in ecosystems. Therefore, understanding thresholds related to climate change is critical for facilitating conservation and management actions, which could help to prevent more costly and possibly catastrophic effects in the future. As part of a broad effort to synthesize and deliver coastal resilience information through the Landscape Conservation Cooperatives (LCCs), Climate Science Centers, states, and other partners along the Atlantic and Gulf Coasts, we synthesized existing quantitative threshold information for 45 priority coastal fish, wildlife, and plant species and habitats in response to sea level rise and storm projections. Additional information was synthesized on climate change adaptation actions that can increase the persistence and resilience of species and their habitats and how these actions relate to human community resilience. In addition to two peer-reviewed manuscripts, results from these synthesis efforts were disseminated online through easily accessible, topic-specific web pages in the Massachusetts Wildlife Climate Action Tool (climateactiontool.org) to make this information more easily accessible to stakeholders across the region. The compilation and dissemination of species and habitat threshold information will help to develop a more comprehensive understanding of how natural systems will respond to climate change and how land and resource management decisions could potentially help these species.
","language":"English","publisher":"Northeast Climate Adaptation Science Center","usgsCitation":"Staudinger, M.D., Powell, E.J., Milliken, A., and Tyrrell, M.C., 2017, Final Report fr critical thresholds and ecosystem services for coastal ecological and human climate adaptation, 6 p.","productDescription":"6 p.","ipdsId":"IP-088803","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381229,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://necsc.umass.edu/biblio/final-report-critical-thresholds-and-ecosystem-services-coastal-ecological-and-human-climate"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Staudinger, Michelle D. 0000-0002-4535-2005 mstaudinger@usgs.gov","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":4057,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","email":"mstaudinger@usgs.gov","middleInitial":"D.","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":708099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Emily J.","contributorId":197493,"corporation":false,"usgs":false,"family":"Powell","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":34949,"text":"DOI North Atlantic Landscape Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":806730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milliken, Andrew","contributorId":174078,"corporation":false,"usgs":false,"family":"Milliken","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":806731,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tyrrell, Megan C.","contributorId":197494,"corporation":false,"usgs":false,"family":"Tyrrell","given":"Megan","email":"","middleInitial":"C.","affiliations":[{"id":34949,"text":"DOI North Atlantic Landscape Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":806732,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227369,"text":"70227369 - 2017 - Initial pulse of Siberian Traps sills as the trigger of the end-Permian mass extinction","interactions":[],"lastModifiedDate":"2022-01-11T19:15:20.919633","indexId":"70227369","displayToPublicDate":"2017-07-31T13:04:21","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Initial pulse of Siberian Traps sills as the trigger of the end-Permian mass extinction","docAbstract":"Mass extinction events are short-lived and characterized by catastrophic biosphere collapse and subsequent reorganization. Their abrupt nature necessitates a similarly short-lived trigger, and large igneous province magmatism is often implicated. However, large igneous provinces are long-lived compared to mass extinctions. Therefore, if large igneous provinces are an effective trigger, a subinterval of magmatism must be responsible for driving deleterious environmental effects. The onset of Earth’s most severe extinction, the end-Permian, coincided with an abrupt change in the emplacement style of the contemporaneous Siberian Traps large igneous province, from dominantly flood lavas to sill intrusions. Here we identify the initial emplacement pulse of laterally extensive sills as the critical deadly interval. Heat from these sills exposed untapped volatile-fertile sediments to contact metamorphism, likely liberating the massive greenhouse gas volumes needed to drive extinction. These observations suggest that large igneous provinces characterized by sill complexes are more likely to trigger catastrophic global environmental change than their flood basalt- and/or dike-dominated counterparts.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41467-017-00083-9","usgsCitation":"Burgess, S.D., James D. Muirhead, and Bowring, S.A., 2017, Initial pulse of Siberian Traps sills as the trigger of the end-Permian mass extinction: Nature Communications, v. 8, p. 1-6, https://doi.org/10.1038/s41467-017-00083-9.","productDescription":"164, 6 p.","startPage":"1","endPage":"6","ipdsId":"IP-081596","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469651,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-017-00083-9","text":"Publisher Index Page"},{"id":394195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Siberia, Siberian Traps","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 56.953125,\n 68.5924865825295\n ],\n [\n 48.779296875,\n 64.32087157990324\n ],\n [\n 58.62304687499999,\n 64.05297838071347\n ],\n [\n 67.939453125,\n 68.17155518732503\n ],\n [\n 50.185546875,\n 51.944264879028765\n ],\n [\n 103.88671875,\n 52.32191088594773\n ],\n [\n 109.072265625,\n 55.97379820507658\n ],\n [\n 106.875,\n 68.39918004344189\n ],\n [\n 137.548828125,\n 61.270232790000634\n ],\n [\n 140.361328125,\n 64.84893726357947\n ],\n [\n 130.60546875,\n 70.69995129442536\n ],\n [\n 129.638671875,\n 72.01972876525514\n ],\n [\n 130.166015625,\n 73.52839948765174\n ],\n [\n 123.662109375,\n 74.35482803013984\n ],\n [\n 121.81640624999999,\n 73.3782147793946\n ],\n [\n 117.333984375,\n 73.84928645675248\n ],\n [\n 113.73046875,\n 73.94679115710252\n ],\n [\n 114.169921875,\n 75.18578927942626\n ],\n [\n 114.521484375,\n 76.07966773378998\n ],\n [\n 112.412109375,\n 76.9007089258869\n ],\n [\n 107.841796875,\n 76.98014914976217\n ],\n [\n 108.017578125,\n 77.46602847687329\n ],\n [\n 103.71093749999999,\n 77.95241384715757\n ],\n [\n 99.580078125,\n 76.9999351181161\n ],\n [\n 97.294921875,\n 76.434603583513\n ],\n [\n 95.00976562499999,\n 76.434603583513\n ],\n [\n 86.396484375,\n 75.38669639681771\n ],\n [\n 82.880859375,\n 74.49641311694307\n ],\n [\n 78.92578124999999,\n 73.62778879339942\n ],\n [\n 75.146484375,\n 73.82482034613932\n ],\n [\n 68.818359375,\n 73.72659470212253\n ],\n [\n 65.56640625,\n 71.24435551310674\n ],\n [\n 66.005859375,\n 69.65708627301174\n ],\n [\n 62.75390625,\n 70.05059634999759\n ],\n [\n 59.4140625,\n 70.8446726342528\n ],\n [\n 57.041015625,\n 70.49557354093136\n ],\n [\n 60.029296875,\n 69.19379976461904\n ],\n [\n 58.18359375,\n 69.19379976461904\n ],\n [\n 56.953125,\n 68.5924865825295\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2017-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Burgess, Seth D. 0000-0002-4238-3797 sburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-4238-3797","contributorId":200371,"corporation":false,"usgs":true,"family":"Burgess","given":"Seth","email":"sburgess@usgs.gov","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":830620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James D. Muirhead","contributorId":271057,"corporation":false,"usgs":false,"family":"James D. Muirhead","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":830621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowring, Samuel A.","contributorId":271058,"corporation":false,"usgs":false,"family":"Bowring","given":"Samuel","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":830622,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189975,"text":"70189975 - 2017 - Model selection for the North American Breeding Bird Survey: A comparison of methods","interactions":[],"lastModifiedDate":"2017-07-31T13:23:30","indexId":"70189975","displayToPublicDate":"2017-07-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Model selection for the North American Breeding Bird Survey: A comparison of methods","docAbstract":"The North American Breeding Bird Survey (BBS) provides data for >420 bird species at multiple geographic scales over 5 decades. Modern computational methods have facilitated the fitting of complex hierarchical models to these data. It is easy to propose and fit new models, but little attention has been given to model selection. Here, we discuss and illustrate model selection using leave-one-out cross validation, and the Bayesian Predictive Information Criterion (BPIC). Cross-validation is enormously computationally intensive; we thus evaluate the performance of the Watanabe-Akaike Information Criterion (WAIC) as a computationally efficient approximation to the BPIC. Our evaluation is based on analyses of 4 models as applied to 20 species covered by the BBS. Model selection based on BPIC provided no strong evidence of one model being consistently superior to the others; for 14/20 species, none of the models emerged as superior. For the remaining 6 species, a first-difference model of population trajectory was always among the best fitting. Our results show that WAIC is not reliable as a surrogate for BPIC. Development of appropriate model sets and their evaluation using BPIC is an important innovation for the analysis of BBS data.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-1.1","usgsCitation":"Link, W.A., Sauer, J.R., and Niven, D., 2017, Model selection for the North American Breeding Bird Survey: A comparison of methods: Condor, v. 119, no. 3, p. 546-556, https://doi.org/10.1650/CONDOR-17-1.1.","productDescription":"11 p.","startPage":"546","endPage":"556","ipdsId":"IP-082007","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-1.1","text":"Publisher Index Page"},{"id":344469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59804198e4b0a38ca278932a","contributors":{"authors":[{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":706959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, John R. 0000-0002-4557-3019 jrsauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":146917,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":706960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niven, Daniel 0000-0002-9527-0577 dniven@usgs.gov","orcid":"https://orcid.org/0000-0002-9527-0577","contributorId":179148,"corporation":false,"usgs":true,"family":"Niven","given":"Daniel","email":"dniven@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":706961,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189895,"text":"70189895 - 2017 - CO2 time series patterns in contrasting headwater streams of North America","interactions":[],"lastModifiedDate":"2022-11-02T13:59:04.643794","indexId":"70189895","displayToPublicDate":"2017-07-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"CO2 time series patterns in contrasting headwater streams of North America","title":"CO2 time series patterns in contrasting headwater streams of North America","docAbstract":"We explored the underlying patterns of temporal stream CO2 partial pressure (pCO2) variability using highfrequency sensors in seven disparate headwater streams distributed across the northern hemisphere. We also compared this dataset of [40,000 pCO2 records with other published records from lotic systems. Individual stream sites exhibited relatively distinct pCO2 patterns over time with few consistent traits across sites. Some sites showed strong diel variability, some exhibited increasing pCO2 with increasing discharge, whereas other streams had reduced pCO2 with increasing discharge or no clear response to changes in flow. The only ‘‘universal’’ signature observed in headwater streams was a late summer pCO2 maxima that was likely driven by greatest rates of organic matter respiration due to highest annual temperatures. However, we did not observe this seasonal pattern in a southern hardwood forest site, likely because the region was transitioning from a severe drought. This work clearly illustrates the heterogeneous nature of headwater streams, and highlights the idiosyncratic nature of a non-conservative solute that is jointly influenced by physics, hydrology, and biology. We suggest that future researchers carefully select sensor locations (within and among streams) and provide additional contextual information when attempting to explain pCO2 patterns.
","language":"English","publisher":"Springer","doi":"10.1007/s00027-016-0511-2","usgsCitation":"Crawford, J.T., Stanley, E.H., Dornblaser, M.M., and Striegl, R.G., 2017, CO2 time series patterns in contrasting headwater streams of North America: Aquatic Sciences, v. 79, no. 3, p. 473-486, https://doi.org/10.1007/s00027-016-0511-2.","productDescription":"14 p.","startPage":"473","endPage":"486","ipdsId":"IP-075321","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Colorado, Georgia, Puerto Rico, Vermont, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.75875345162515,\n 40.41826699675971\n ],\n [\n -105.75875345162515,\n 40.26772177168533\n ],\n [\n -105.54604103183873,\n 40.26772177168533\n ],\n [\n -105.54604103183873,\n 40.41826699675971\n ],\n [\n -105.75875345162515,\n 40.41826699675971\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.2335731672356,\n 33.68198344862023\n ],\n [\n -84.2335731672356,\n 33.60505958304719\n ],\n [\n -84.04073633747926,\n 33.60505958304719\n ],\n [\n -84.04073633747926,\n 33.68198344862023\n ],\n [\n -84.2335731672356,\n 33.68198344862023\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.69511006355633,\n 46.098665913281394\n ],\n [\n -89.69511006355633,\n 45.985605857218644\n ],\n [\n -89.50896090902005,\n 45.985605857218644\n ],\n [\n -89.50896090902005,\n 46.098665913281394\n ],\n [\n -89.69511006355633,\n 46.098665913281394\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -145.88153479471083,\n 65.7139553812934\n ],\n [\n -145.88153479471083,\n 65.6132521487456\n ],\n [\n -145.48928986621956,\n 65.6132521487456\n ],\n [\n -145.48928986621956,\n 65.7139553812934\n ],\n [\n -145.88153479471083,\n 65.7139553812934\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.16368555616823,\n 44.487264061945865\n ],\n [\n -72.16368555616823,\n 44.386327502883944\n ],\n [\n -71.96577709121281,\n 44.386327502883944\n ],\n [\n -71.96577709121281,\n 44.487264061945865\n ],\n [\n -72.16368555616823,\n 44.487264061945865\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -65.76509199333995,\n 18.412962038648402\n ],\n [\n -65.76509199333995,\n 18.28241342108312\n ],\n [\n -65.61976597390735,\n 18.28241342108312\n ],\n [\n -65.61976597390735,\n 18.412962038648402\n ],\n [\n -65.76509199333995,\n 18.412962038648402\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"79","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-04","publicationStatus":"PW","scienceBaseUri":"59804199e4b0a38ca2789332","contributors":{"authors":[{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":5044,"text":"National Research Program - 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