Sediment deposition in tidal wetlands is a critical process that determines whether vertical growth will keep pace with sea-level rise. However, more information is needed on how sediment deposition varies spatially and temporally across wetlands, including the effects of elevation, tidal inundation, vegetation, and weather. We investigated variation in sediment deposition due to season, distance from channel, channel size, and vegetation composition at low and high salinity tidal marshes in the San Francisco Bay-Delta Estuary, California using sediment traps deployed monthly between December 2015 and November 2016. Over the course of the year, sediment deposition ranged widely (1.4 – 174.0 kg m−2 yr−1) and averaged 19.5 ± 3.5 kg m−2 yr−1. Deposition increased with flooding duration, decreased with increasing distance from channels, and was highest during the spring and early summer. Higher wind speeds during the spring may have driven re-suspension from mudflats, promoting deposition. Ratios of organic-to-mineral deposition were twice as high at the fresher site and were correlated with differences in vegetation composition between sites. Our results suggest that seasonality, distance from sediment source, salinity regime, and channel size are important sources of spatiotemporal variation in deposition. These results are relevant to accretion sampling and wetland restoration design.
Recent activity has provided new insights into the causes of surface deformation in and around the Yellowstone Caldera, a topic that has been debated since the discovery of caldera floor uplift more than four decades ago. An episode of unusually rapid uplift (>15 cm/yr) centered near Norris Geyser Basin along the north caldera rim began in late 2013 and continued until a Mw 4.9 earthquake on 30 March 2014; thereafter, uplift abruptly switched to subsidence. Uplift at rates of several centimeters per year resumed in 2016 and continued at least through the end of 2018. Modeling of Global Positioning System and interferometric synthetic aperture radar data suggests an evolving process of deep magma intrusion during 1996–2001 followed by volatile ascent and accumulation at shallow levels, perhaps as shallow as a few hundred meters depth. The depth of shallow volatile accumulation appears to have shallowed from the 2014 to the 2016 deformation episode, and frequent eruptions of Steamboat Geyser since March 2018 are likely a surface manifestation of this ongoing process. Hydrothermal explosion features are prominent in the Norris Geyser Basin area, and the apparent shallow nature of the volatile accumulation implies an increased risk of hydrothermal explosions.
This report presents data on the approximate locations and methods of discovery of 530 polar bear (Ursus maritimus) maternal dens observed in the Beaufort and Chukchi Seas and neighboring areas from 1910 to 2018, and archived partly by the U.S. Geological Survey, Alaska Science Center, and partly by the U.S. Fish and Wildlife Service, Marine Mammals Management, in Anchorage, Alaska. A description of data collection methods and their associated biases, primary data collection time periods, and estimated position uncertainty are provided. Polar bears in the Beaufort and Chukchi Seas den on sea ice and land. Standardized very high frequency (VHF) aircraft surveys and satellite radio telemetry data provide a general understanding of where polar bears have denned in this region over the past 3 decades. Den observations made during other research activities and anecdotal reports from other government agencies, coastal residents, and industry personnel also are reported. These data on past polar bear maternal den locations are provided to inform decision making by natural resource agencies and for public use.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1121","usgsCitation":"Durner, G.M., Amstrup, S.C., Atwood, T.C., Douglas, D.C., Fischbach, A.S., Olson, J.W., Rode, K.D., and Wilson, R.R., 2020, Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018: U.S. Geological Survey Data Series 1121, 12 p., including appendixes, https://doi.org/10.3133/ds1121. [Supersedes USGS Data Series 568.]","productDescription":"Report: iv, 12 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-110346","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":371581,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1121/ds1121.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1121"},{"id":371580,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1121/coverthb.jpg"},{"id":371582,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RPHH50","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi seas and nearby areas, 1910–2018 (ver. 2.0, January 2020)"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.9052734375,\n 69.58056349224898\n ],\n [\n -157.939453125,\n 70.61261423801925\n ],\n [\n -155.17089843749997,\n 70.67088107015755\n ],\n [\n -150.9521484375,\n 70.12542991464234\n ],\n [\n -145.810546875,\n 69.8244707739378\n ],\n [\n -142.5146484375,\n 69.76375692223178\n ],\n [\n -141.6796875,\n 69.68761843185617\n ],\n [\n -141.4599609375,\n 70.06558465579644\n ],\n [\n -145.1513671875,\n 70.48089578887483\n ],\n [\n -149.5458984375,\n 71.03124946886855\n ],\n [\n -153.7646484375,\n 71.66366293141732\n ],\n [\n -158.6865234375,\n 71.7050925307212\n ],\n [\n -161.0595703125,\n 71.21607526596131\n ],\n [\n -163.564453125,\n 70.36309108461556\n ],\n [\n -162.9052734375,\n 69.58056349224898\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Regional Director, Alaska
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508-4560
Water temperature influences both morphological and physiological development in fishes. However, the effects of water temperature on the early development of Alligator Gar Atractosteus spatula and Spotted Gar Lepisosteus oculatus are not well understood. Both gar species were collected from natural environments and spawned in a hatchery setting. After spawning, fertilized embryos were collected and transferred to the Oklahoma Fishery Research Laboratory, where the embryos (50–72 embryos/treatment) were placed into one of five water temperature treatments (15.5, 20.0, 23.8, 27.5, and 32.2°C) and observed over time to estimate the time to hatch and the time to reach the free-swimming stage. Both species showed an inverse relationship between temperature and the timing of hatch and advancement to free-swimming fingerlings for all treatments. In addition, Alligator Gar embryos did not develop at the coldest water temperature tested, and Alligator Gar juveniles held at the warmest temperature tested were observed with developmental abnormalities, potentially affecting their survival. The same temperature extremes had no comparable negative effect on Spotted Gar. The results of this study are useful for understanding early life history dynamics of these two species in their natural environments and can also be used by hatchery managers who are seeking to optimize their production protocols.
Seasonal migration is ubiquitous in animals, and yet its underlying cause(s) remain poorly known. Species exhibiting short-distance altitudinal migration and intraspecific variation in migratory behavior (partial or differential migration) are ideal study systems for examining the selective pressures that affect individual migratory decisions. We used an individually marked population of yellow-eyed juncos, breeding along a 1000-m elevational gradient and migrating up and down that gradient, to examine the morphological, behavioral, and reproductive traits associated with migratory behavior. We tested the four most well-known hypotheses proposed to explain partial migration: the thermal tolerance, fasting endurance, dominance, and arrival time hypotheses. Our results indicate that: (1) limits to juncos’ fasting endurance constrain their ability to overwinter at high elevations, in support of the fasting endurance hypothesis, (2) differences in body size mediate fasting ability and are associated with variation in migratory behavior and overwinter apparent survival, (3) migratory behavior interacts with reproductive success, in partial support of the arrival time hypothesis, and (4) additional mechanisms that are not captured by the four well-known hypotheses might better explain individual variation in migratory behavior. Less migratory females achieved greater nesting success the following breeding season. Among males, nesting success influenced migratory tendency the following winter. Successful males may either migrate to a more benign winter climate without paying reproductive costs, or high levels of parental effort might physiologically constrain their ability to overwinter in harsh climates.
","language":"English","publisher":"Springer","doi":"10.1007/s00265-019-2796-3","usgsCitation":"Lundblad, C., and Conway, C.J., 2020, Testing four hypotheses to explain partial migration: Balancing reproductive benefits with limits to fasting endurance: Behavioral Ecology and Sociobiology, v. 74, 26, https://doi.org/10.1007/s00265-019-2796-3.","productDescription":"26","ipdsId":"IP-111258","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467303,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/638069","text":"External Repository"},{"id":394569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundblad, Carl G.","contributorId":265812,"corporation":false,"usgs":false,"family":"Lundblad","given":"Carl G.","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":831232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208615,"text":"70208615 - 2020 - Earthquakes, did you feel it?","interactions":[],"lastModifiedDate":"2020-02-21T07:00:27","indexId":"70208615","displayToPublicDate":"2020-01-27T06:59:34","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Earthquakes, did you feel it?","docAbstract":"The US Geological Survey (USGS) “Did You Feel It?”® (DYFI) system is an automated system for rapidly collecting macroseismic intensity data from Internet users’ shaking and damage reports and generating intensity maps immediately following earthquakes.
Although the collection and assignment of DYFI-based Macroseismic Intensity (MI) data depart from traditional assignments, they are made more quickly, provide more complete coverage at higher spatial resolution, offer citizen input and interaction, and allow data collection at rates and quantities that were not previously possible. These aspects of Internet-based data collection, in turn, allow for data analyses, graphics, and ways to communicate with the public, opportunities that were not feasible with traditional data-collection approaches.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Solid Earth Geophysics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-10475-7_254-1","usgsCitation":"Wald, D.J., Quitoriano, V., and Dewey, J.W., 2020, Earthquakes, did you feel it?, chap. of Encyclopedia of Solid Earth Geophysics, https://doi.org/10.1007/978-3-030-10475-7_254-1.","ipdsId":"IP-109501","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quitoriano, Vince 0000-0003-4157-1101 vinceq@usgs.gov","orcid":"https://orcid.org/0000-0003-4157-1101","contributorId":2582,"corporation":false,"usgs":true,"family":"Quitoriano","given":"Vince","email":"vinceq@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dewey, James W. 0000-0001-8838-2450 jdewey@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-2450","contributorId":5819,"corporation":false,"usgs":true,"family":"Dewey","given":"James","email":"jdewey@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215337,"text":"70215337 - 2020 - Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets","interactions":[],"lastModifiedDate":"2020-10-15T19:52:05.64958","indexId":"70215337","displayToPublicDate":"2020-01-25T14:42:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets","docAbstract":"Bogoslof volcano, Alaska, experienced at least 70 explosive eruptions between 12 December 2016 and 31 August 2017. Due to its remote location and limited local monitoring network, this eruption was monitored and characterized primarily using remote geophysical and satellite techniques. SO2 emissions from Bogoslof were persistently detected by the Infrared Atmospheric Sounding Interferometer (IASI) satellite sensors. Of Bogoslof’s 70 explosive events, 50% produced measurable SO2 masses ranging from 0.1 to 21.5 kt, with a median and standard deviation of 0.7 ± 4.0 kt SO2, respectively. Here, we compare IASI-derived SO2 masses from Bogoslof events to complementary geophysical datasets to provide insights into eruption source processes, namely the degree of seawater scrubbing of water-soluble SO2 and variations in magma flux. Correlations with the number of lightning strokes and infrasound energy are expected to indicate magma-flux as a controlling process, while correlations with infrasound frequency index are expected to indicate variations in vent-water content as a controlling factor. These comparisons suggest that the measured SO2 masses are primarily a function of eruption magnitude (degassed magma mass) and that scrubbing of SO2 emissions by vent seawater may have exerted a minor effect on the observed SO2 masses. SO2 masses were combined with petrologic constraints on melt inclusion and matrix glass S concentrations to calculate degassed magma masses and volumes. The cumulative SO2-derived degassed magma mass and estimated volume (dense-rock equivalent) for the full Bogoslof eruption were found to be 2.8 × 1010 kg and 9.3 × 106 m3, respectively. When individual event masses are compared against event masses calculated using an empirical plume-height method, a strong correlation is found (R2 = 0.83), with better than order-of-magnitude agreement in most cases. These estimates of eruption masses provide useful information on the magnitude, behavior, and associated hazards of the 2016–2017 eruption, and potentially future unrest at Bogoslof volcano.
Sustainable, conservation-oriented agricultural practices like shade coffee and agroforestry can enhance conservation objectives in tropical landscapes. Adoption of these practices, however, is influenced by numerous factors. We conducted a survey of 89 coffee farmers in Puerto Rico to understand their farming practices, experience with existing incentives, and willingness to participate in conservation programs. Quantitative analysis showed that current farming practices, farm size, and annual income from farming were associated with willingness to participate in conservation programs. Qualitative results suggested that financial considerations, conflicting state and federal incentives, lack of information about conservation programs, distrust in government, and land use restrictions might hinder participation. Some farmers perceived that sun farming—a practice incompatible with sustainable conservation—was required to be eligible for state agricultural incentives. The way some farmers practiced shade farming differed from the way suggested for conservation purposes, particularly in the type of shade trees and their cover density. Farmers highlighted the need for financial incentives to encourage adoption of shade farming. They also expressed concerns that participation in conservation programs could limit their land management autonomy. We suggest that availability of financial incentives, reconciliation of institutional barriers, increased outreach, and involvement of farmers in design of conservation programs can increase adoption and retention of conservation practices.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.172","usgsCitation":"Gladkikh, T.M., Collazo, J.A., Torres-Abreu, A., Reyes, A.M., and Molina, M., 2020, Factors that influence participation of Puerto Rican coffee farmers in conservation programs: Conservation Science and Practice, v. 2, no. 4, e172, 11 p., https://doi.org/10.1111/csp2.172.","productDescription":"e172, 11 p.","ipdsId":"IP-112269","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.172","text":"Publisher Index Page"},{"id":395923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.10723876953125,\n 17.926475979176438\n ],\n [\n -66.4398193359375,\n 17.926475979176438\n ],\n [\n -66.4398193359375,\n 18.3858049312974\n ],\n [\n -67.10723876953125,\n 18.3858049312974\n ],\n [\n -67.10723876953125,\n 17.926475979176438\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Gladkikh, Tatiana M.","contributorId":276120,"corporation":false,"usgs":false,"family":"Gladkikh","given":"Tatiana","email":"","middleInitial":"M.","affiliations":[{"id":56928,"text":"Center for Landscape Conservation","active":true,"usgs":false}],"preferred":false,"id":834574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torres-Abreu, Alejandro","contributorId":276121,"corporation":false,"usgs":false,"family":"Torres-Abreu","given":"Alejandro","email":"","affiliations":[{"id":56928,"text":"Center for Landscape Conservation","active":true,"usgs":false}],"preferred":false,"id":834576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reyes, Angelica M.","contributorId":276122,"corporation":false,"usgs":false,"family":"Reyes","given":"Angelica","email":"","middleInitial":"M.","affiliations":[{"id":56928,"text":"Center for Landscape Conservation","active":true,"usgs":false}],"preferred":false,"id":834577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Molina, Marysol","contributorId":276123,"corporation":false,"usgs":false,"family":"Molina","given":"Marysol","email":"","affiliations":[{"id":56928,"text":"Center for Landscape Conservation","active":true,"usgs":false}],"preferred":false,"id":834578,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208121,"text":"70208121 - 2020 - Uptake, metabolism, and elimination of fungicides from coated wheat seeds in Japanese quail (Coturnix japonica)","interactions":[],"lastModifiedDate":"2020-02-25T08:15:12","indexId":"70208121","displayToPublicDate":"2020-01-24T13:47:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2149,"text":"Journal of Agricultural and Food Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Uptake, metabolism, and elimination of fungicides from coated wheat seeds in Japanese quail (Coturnix japonica)","docAbstract":"Pesticides coated to the seed surface potentially pose an ecological risk to granivorous birds that consume incompletely buried or spilled seeds. To assess the toxicokinetics of seeds treated with current-use fungicides, Japanese quail (Coturnix japonica) were orally dosed with commercially coated wheat seeds. Quail were exposed to metalaxyl, tebuconazole, and fludioxonil at either a low (0.07, 0.03, and 0.03 mg/kg body weight) or high dose (0.2, 0.09, and 0.1 mg/kg body weight). Fungicides were rapidly absorbed and distributed to tissues. Tebuconazole was metabolized into t-butylhydroxy-tebuconazole. All compounds were eliminated to below detection limits within 24 h. The high detection frequencies observed in fecal samples potentially offers a noninvasive matrix to monitor pesticide exposure. Summing total body burden across plasma, tissue, and fecal samples, less than 9% of the administered dose was identified as the parent fungicide, demonstrating the importance to monitor both active ingredients and their metabolites in biological samples.","language":"English","publisher":"ACS","doi":"10.1021/acs.jafc.9b05668","usgsCitation":"Gross, M.S., Bean, T.G., Hladik, M.L., Rattner, B.A., and Kuivila, K., 2020, Uptake, metabolism, and elimination of fungicides from coated wheat seeds in Japanese quail (Coturnix japonica): Journal of Agricultural and Food Chemistry, v. 68, no. 6, p. 1514-1524, https://doi.org/10.1021/acs.jafc.9b05668.","productDescription":"11 p.","startPage":"1514","endPage":"1524","ipdsId":"IP-111108","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":371654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Gross, Michael S. 0000-0002-2433-166X","orcid":"https://orcid.org/0000-0002-2433-166X","contributorId":213604,"corporation":false,"usgs":true,"family":"Gross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bean, Thomas G. 0000-0002-3577-1994","orcid":"https://orcid.org/0000-0002-3577-1994","contributorId":221812,"corporation":false,"usgs":false,"family":"Bean","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":40435,"text":"Department of Environmental Science and Technology, University of Maryland","active":true,"usgs":false}],"preferred":false,"id":780566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":780568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":190790,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780569,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208848,"text":"70208848 - 2020 - Tidal wetland gross primary production across the continental United States, 2000–2019","interactions":[],"lastModifiedDate":"2020-03-03T11:00:07","indexId":"70208848","displayToPublicDate":"2020-01-24T10:39:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Tidal wetland gross primary production across the continental United States, 2000–2019","docAbstract":"We mapped tidal wetland gross primary production (GPP) with unprecedented detail for multiple wetland types across the continental United States (CONUS) at 16‐day intervals for the years 2000–2019. To accomplish this task, we developed the spatially explicit Blue Carbon (BC) model, which combined tidal wetland cover and field‐based eddy covariance tower data into a single Bayesian framework, and used a super computer network and remote sensing imagery (Moderate Resolution Imaging Spectroradiometer Enhanced Vegetation Index). We found a strong fit between the BC model and eddy covariance data from 10 different towers (r2 = 0.83, p < 0.001, root‐mean‐square error = 1.22 g C/m2/day, average error was 7% with a mean bias of nearly zero). When compared with NASA's MOD17 GPP product, which uses a generalized terrestrial algorithm, the BC model reduced error by approximately half (MOD17 had r2 = 0.45, p < 0.001, root‐mean‐square error of 3.38 g C/m2/day, average error of 15%). The BC model also included mixed pixels in areas not covered by MOD17, which comprised approximately 16.8% of CONUS tidal wetland GPP. Results showed that across CONUS between 2000 and 2019, the average daily GPP per m2 was 4.32 ± 2.45 g C/m2/day. The total annual GPP for the CONUS was 39.65 ± 0.89 Tg C/year. GPP for the Gulf Coast was nearly double that of the Atlantic and Pacific Coasts combined. Louisiana alone accounted for 15.78 ± 0.75 Tg C/year, with its Atchafalaya/Vermillion Bay basin at 4.72 ± 0.14 Tg C/year. The BC model provides a robust platform for integrating data from disparate sources and exploring regional trends in GPP across tidal wetlands.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GB006349","usgsCitation":"Feagin, R., Forbrich, I., Huff, T.P., Barr, J., Ruiz-Plancarte, J., Fuentes, J., Najjar, R., Vargas, R., Vazquez Lule, A., Windham-Myers, L., Kroeger, K.D., Ward, E.J., Moore, G.W., Leclerc, M., Krauss, K., Stagg, C., Alber, M., Knox, S.H., Schafer, K.V., Bianchi, T., Hutchings, J., Nahrawi, H., Noormets, A., Mitra, B., Jaimes, A., Hinson, A., Bergamaschi, B.A., King, J., and Miao, G., 2020, Tidal wetland gross primary production across the continental United States, 2000–2019: Global Biogeochemical Cycles, v. 34, no. 2, e2019GB006349, 25 p., https://doi.org/10.1029/2019GB006349.","productDescription":"e2019GB006349, 25 p.","ipdsId":"IP-115587","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science 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Gas hydrate is found in shallow sediments of deepwater regions of the continental margins and in areas of continuous permafrost. Where gas supply is sufficient and migration pathways connect gas sources to favorable reservoirs, gas hydrate can accumulate to resource densities that may be attractive for gas production. Global research on the potential commercial viability of gas extraction from gas hydrates continues, predominantly in Asia and in the United States, where current efforts focus on the controlled destabilization of high-saturation deposits housed in sand and/or silt-rich reservoirs. This chapter reviews the current state of gas hydrate resource exploration and appraisal, the most promising production approaches identified to date, and the likely technical challenges to commercial production.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Future energy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-08-102886-5.00006-2","usgsCitation":"Boswell, R., Hancock, S., Yamamoto, K., Collett, T., Pratap, M., and Lee, S., 2020, Natural gas hydrates: Status of potential as an energy resource, chap. 6 of Future energy, p. 111-131, https://doi.org/10.1016/B978-0-08-102886-5.00006-2.","productDescription":"21 p.","startPage":"111","endPage":"131","ipdsId":"IP-106861","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":495034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/b978-0-08-102886-5.00006-2","text":"Publisher Index Page"},{"id":374928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boswell, Ray","contributorId":224746,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":28000,"text":"National Energy Technology Laboratory, Pittsburgh, PA, USA","active":true,"usgs":false}],"preferred":false,"id":789380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hancock, Steve","contributorId":224747,"corporation":false,"usgs":false,"family":"Hancock","given":"Steve","affiliations":[{"id":40931,"text":"XtremeWell Engineering Inc., Calgary, Canada","active":true,"usgs":false}],"preferred":false,"id":789381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yamamoto, Koji","contributorId":224748,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Koji","affiliations":[{"id":40932,"text":"Japan Oil, Gas, and Metals National Corporation, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":789382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":789383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pratap, Mahendra","contributorId":224749,"corporation":false,"usgs":false,"family":"Pratap","given":"Mahendra","email":"","affiliations":[{"id":40933,"text":"Directorate General of Hydrocarbons, Dehli, India","active":true,"usgs":false}],"preferred":false,"id":789384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Sung-Rock","contributorId":224750,"corporation":false,"usgs":false,"family":"Lee","given":"Sung-Rock","affiliations":[{"id":40934,"text":"KIGAM, Korea","active":true,"usgs":false}],"preferred":false,"id":789385,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208960,"text":"70208960 - 2020 - Water tracks enhance water flow above permafrost in upland Arctic Alaska hillslopes","interactions":[],"lastModifiedDate":"2020-03-10T08:25:31","indexId":"70208960","displayToPublicDate":"2020-01-24T08:24:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Water tracks enhance water flow above permafrost in upland Arctic Alaska hillslopes","docAbstract":"Upland permafrost regions occupy approximately one third of the Arctic landscape. In upland regions, hydrologic fluxes are influenced by water tracks, curvilinear features on hillslopes that preferentially fill with and route water in response to snowmelt and rainfall when the soil above continuous permafrost thaws in the summer. As continued warming of the Arctic may alter hydrologic cycling leading to increased frequency of extreme hydrologic events like drought and flooding as well as modification of biogeochemical cycling, it is imperative to untangle the interplay between precipitation, runoff, and subsurface flow as water is routed from upland Arctic regions to the Arctic Ocean. This study quantifies how ground surface temperatures affect groundwater discharge from hillslopes with water tracks in the upland Arctic by employing a three-dimensional, physically based subsurface flow model with variable saturation and freeze and thaw capabilities that is calibrated to field measurements from the Upper Kuparuk River watershed on the North Slope of Alaska, USA. Model analysis indicates that higher ground surface temperatures along water track hillslopes promote increases in groundwater discharge where water tracks act as conduits for large recharge events and continue to discharge groundwater into the autumn after the adjacent hillslope has frozen. Simulating the conditions that distinguish water tracks from their hillslope watersheds changes subsurface water storage and ground thermal responses but does not alter the total magnitude of groundwater discharge outside of parameter uncertainty. These findings suggest that water tracks play a complex and critical role in hydrologic cycles of the upland Arctic.","language":"English","publisher":"Wiley","doi":"10.1029/2019JF005256","usgsCitation":"Evans, S.G., Godsey, S., Rushlow, C.R., and Voss, C., 2020, Water tracks enhance water flow above permafrost in upland Arctic Alaska hillslopes: Journal of Geophysical Research F: Earth Surface, v. 125, no. 2, e2019JF005256, https://doi.org/10.1029/2019JF005256.","productDescription":"e2019JF005256","ipdsId":"IP-114552","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jf005256","text":"Publisher Index Page"},{"id":373038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -161.015625,\n 66.6181218846659\n ],\n [\n -140.80078125,\n 66.68778386116203\n ],\n [\n -141.328125,\n 70.05059634999759\n ],\n [\n -157.1484375,\n 71.71888229713917\n ],\n [\n -162.509765625,\n 70.95969716686398\n ],\n [\n -167.34375,\n 68.8159271333607\n ],\n [\n -166.2890625,\n 68.0404612590484\n ],\n [\n -162.509765625,\n 66.40795547978848\n ],\n [\n -161.015625,\n 66.6181218846659\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Sarah G.","contributorId":203464,"corporation":false,"usgs":false,"family":"Evans","given":"Sarah","email":"","middleInitial":"G.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":784202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godsey, Sarah E","contributorId":223120,"corporation":false,"usgs":false,"family":"Godsey","given":"Sarah E","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":784203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rushlow, Caitlin R","contributorId":223121,"corporation":false,"usgs":false,"family":"Rushlow","given":"Caitlin","email":"","middleInitial":"R","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":784204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, Clifford I. 0000-0001-5923-2752","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":211844,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":784201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219481,"text":"70219481 - 2020 - Evaluating contributions of recent tracking-based animal movement ecology to conservation management","interactions":[],"lastModifiedDate":"2021-04-09T12:15:39.629179","indexId":"70219481","displayToPublicDate":"2020-01-24T07:14:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating contributions of recent tracking-based animal movement ecology to conservation management","docAbstract":"The use of animal-born sensors for location-based tracking and bio-logging in terrestrial systems has expanded dramatically in the past 10 years. This rapid expansion has generated new data on how animals interact with and respond to variation in their environment, resulting in important ecological, physiological, and evolutionary insights. Although understanding the finer details of animal locations has important management relevance, applied studies are not prominent in the movement ecology literature. This is despite the long history of applied studies of animal movement and the urgent and growing need for evidence-based conservation guidance, especially in the challenging field of human-wildlife interactions. The goal of this review is to evaluate the realized contribution of tracking-based animal movement ecology to solving specific conservation problems, and to identify barriers that may hinder expansion of that contribution. To do this, we (a) briefly review the history and technologies used in animal tracking and bio-logging, (b) use a series of literature searches to evaluate the frequency with which movement ecology studies are designed to solve specific conservation problems, and (c) use this information to identify challenges that may limit the applied relevance of the field of movement ecology, and to propose pathways to expand that applied relevance. Our literature review quantifies the limited extent to which research in the field of movement ecology is designed to solve specific conservation problems, but also the fact that such studies are slowly becoming more prevalent. We discuss how barriers that limit application of these principles are likely due to constraints imposed by the types of data used commonly in the field. Problems of scale mismatch, error compounding, and data paucity all create challenges that are relevant to the field of movement ecology but may be especially pertinent in applied situations. Finding solutions to these problems will create new opportunity for movement ecologists to contribute to conservation science.
Life in the Arctic presents organisms with multiple challenges, including extreme photic conditions, cold temperatures, and annual loss and daily movement of sea ice. Polar bears (Ursus maritimus) evolved under these unique conditions, where they rely on ice to hunt their main prey, seals. However, very little is known about the dynamics of their daily and seasonal activity patterns. For many organisms, activity is synchronized (entrained) to the earth’s day/night cycle, in part via an endogenous (circadian) timekeeping mechanism. The present study used collar-mounted accelerometer and global positioning system data from 122 female polar bears in the Chukchi and Southern Beaufort Seas collected over an 8-year period to characterize activity patterns over the calendar year and to determine if circadian rhythms are expressed under the constant conditions found in the Arctic. We reveal that the majority of polar bears (80%) exhibited rhythmic activity for the duration of their recordings. Collectively within the rhythmic bear cohort, circadian rhythms were detected during periods of constant daylight (June-August; 24.40 ± 1.39 h, mean ± SD) and constant darkness (23.89 ± 1.72 h). Exclusive of denning periods (November-April), the time of peak activity remained relatively stable (acrophases: ~1200-1400 h) for most of the year, suggesting either entrainment or masking. However, activity patterns shifted during the spring feeding and seal pupping season, as evidenced by an acrophase inversion to ~2400 h in April, followed by highly variable timing of activity across bears in May. Intriguingly, despite the dynamic environmental photoperiodic conditions, unpredictable daily timing of prey availability, and high between-animal variability, the average duration of activity (alpha) remained stable (11.2 ± 2.9 h) for most of the year. Together, these results reveal a high degree of behavioral plasticity in polar bears while also retaining circadian rhythmicity. Whether this degree of plasticity will benefit polar bears faced with a loss of sea ice remains to be determined.
","language":"English","publisher":"Sage","doi":"10.1177/0748730419900877","usgsCitation":"Ware, J.V., Rode, K.D., Robbins, C.T., Leise, T., Weil, C., and Jansen, H.T., 2020, The clock keeps ticking: Circadian rhythms of free-ranging polar bears: Journal of Biological Rhythms, v. 35, no. 2, p. 180-194, https://doi.org/10.1177/0748730419900877.","productDescription":"15 p.","startPage":"180","endPage":"194","ipdsId":"IP-112436","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":458018,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/0748730419900877","text":"Publisher Index Page"},{"id":437142,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ85T1","text":"USGS data release","linkHelpText":"Accelerometer Data from Collared Female Polar Bears in the Beaufort Sea, 2009-2016"},{"id":371678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.94921875,\n 67.20403234340081\n ],\n [\n -140.9765625,\n 68.17155518732503\n ],\n [\n -141.064453125,\n 69.62651016802958\n ],\n [\n -156.97265625,\n 71.41317683396566\n ],\n [\n -162.861328125,\n 70.61261423801925\n ],\n [\n -165.146484375,\n 69.03714171275197\n ],\n [\n -166.728515625,\n 68.56038368664157\n ],\n [\n -164.267578125,\n 67.5421666883853\n ],\n [\n -162.94921875,\n 67.20403234340081\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ware, Jasmine V.","contributorId":192039,"corporation":false,"usgs":false,"family":"Ware","given":"Jasmine","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":780703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":780702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Charles T.","contributorId":124585,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":780704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leise, T.","contributorId":221915,"corporation":false,"usgs":false,"family":"Leise","given":"T.","email":"","affiliations":[{"id":40457,"text":"Amherst College","active":true,"usgs":false}],"preferred":false,"id":780705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weil, C.R.","contributorId":221916,"corporation":false,"usgs":false,"family":"Weil","given":"C.R.","email":"","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":780706,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jansen, Heiko T.","contributorId":221917,"corporation":false,"usgs":false,"family":"Jansen","given":"Heiko","email":"","middleInitial":"T.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":780707,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208272,"text":"70208272 - 2020 - Soil shear strength losses in two fresh marshes with variable increases in N and P loading","interactions":[],"lastModifiedDate":"2020-10-28T15:13:27.375074","indexId":"70208272","displayToPublicDate":"2020-01-24T07:01:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Soil shear strength losses in two fresh marshes with variable increases in N and P loading","docAbstract":"We measured soil shear strength (SSS) from 2009 to 2018 in two hydrologically distinct freshwater marshes dominated by Panicum hemitomon after nitrogen (N) and phosphorous (P) were applied to the surface in spring. The average SSS averaged over 100 cm depth in the floating and anchored marshes declined up to 30% throughout the profiles and with no apparent differences in the effects of the low, medium, and high N+P dosing. Plots with only N or P additions exhibited significant changes in SSS at individual depths below 40 cm for the anchored marsh, but not the floating marsh. The average SSS for the anchored marsh over the entire 100 cm profile declined when N and P were added separately or together. At the floating marsh, however, the SSS decreased when N and P were added in combination, or P alone, but not for the N addition. Increasing nutrient availability to these freshwater marsh soils makes them weaker, and perhaps lost if eroded or uplifted by buoyant forces during storms. These results are consistent with results from multi-year experiments demonstrating higher decomposition rates, greenhouse gas emissions, and carbon losses in wetlands following increased nutrient availability.","language":"English","publisher":"Springer","doi":"10.1007/s13157-020-01265-w","usgsCitation":"Turner, R.E., Swarzenski, C.M., and Bodker, J.E., 2020, Soil shear strength losses in two fresh marshes with variable increases in N and P loading: Wetlands, v. 40, p. 1189-1199, https://doi.org/10.1007/s13157-020-01265-w.","productDescription":"11 p.","startPage":"1189","endPage":"1199","ipdsId":"IP-102316","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":458022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-020-01265-w","text":"Publisher Index Page"},{"id":371899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.362060546875,\n 29.22889003019423\n ],\n [\n -89.2529296875,\n 29.22889003019423\n ],\n [\n -89.2529296875,\n 30.192618218499273\n ],\n [\n -92.362060546875,\n 30.192618218499273\n ],\n [\n -92.362060546875,\n 29.22889003019423\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Turner, R. Eugene","contributorId":172726,"corporation":false,"usgs":false,"family":"Turner","given":"R.","email":"","middleInitial":"Eugene","affiliations":[],"preferred":false,"id":781210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Christopher M. 0000-0001-9843-1471 cswarzen@usgs.gov","orcid":"https://orcid.org/0000-0001-9843-1471","contributorId":656,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Christopher","email":"cswarzen@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodker, James E.","contributorId":152482,"corporation":false,"usgs":false,"family":"Bodker","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":13050,"text":"Department of Oceanography and Coastal Sciences, Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":781211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208007,"text":"70208007 - 2020 - Dilution and propagation of provenance trends in sand and mud: Geochemistry and detrital zircon geochronology of modern sediment from central California (U.S.A.)","interactions":[],"lastModifiedDate":"2020-01-27T06:24:22","indexId":"70208007","displayToPublicDate":"2020-01-24T06:38:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Dilution and propagation of provenance trends in sand and mud: Geochemistry and detrital zircon geochronology of modern sediment from central California (U.S.A.)","docAbstract":"Integrated, multi-method provenance studies of siliciclastic sedimentary deposits are increasingly used to reconstruct the history of source-to-sink transport, paleogeography, and tectonics. Invariably, analysis of large-scale depositional systems must confront issues regarding how to best sample the system and adequately cope with the details of sediment mixing. Potential biases including variations in grain size, sediment flux, and zircon concentration may cause provenance tracking tools to misrepresent the contributions of source-areas that contribute to large drainage networks. We have acquired U-Pb detrital zircon data from modern sand and whole rock geochemistry from mud sampled from the Sacramento-San Joaquin drainage of central California to elucidate conditions that can skew provenance trends along the course of a major river system. This drainage network is fed by headwaters that tap the Mesozoic pluton-dominated southern Sierra Nevada, the Paleozoic-Mesozoic wallrock and volcanic-dominated northern Sierra Nevada, the ultramafic-dominated eastern Klamath Mountains, and the intermediate to mafic Cascades volcanic arc. Analysis of the results indicates that detrital zircon provenance trends effectively record source variations for the southern, granite-dominated portion of the drainage network where contrasts in lithology and inferred zircon fertility are relatively minor. In these circumstances, mixture modeling of U-Pb detrital zircon data calibrated with a measure of zircon fertility approximates relative sediment flux contributed by individual drainages. Alternatively, in the northern parts of the system, source regions underlain by ultramafic and /or volcanic rocks are poorly represented, or entirely missing, in down-stream detrital zircon records. In some cases, mud geochemistry data more faithfully represents sediment provenance trends.\nSampling performed at the confluence of the Sacramento, American, Mokolumne, and San Joaquin rivers within the Sacramento Delta region yields a detrital zircon age distribution that is indistinguishable from that of an independently established database of Sierra Nevada batholith crystallization ages. However, when the combined river flows along a recently established passage to the Pacific through the San Francisco Bay region, dredged sediment is found to be significantly contaminated by locally eroded material from the Franciscan Complex and other rocks that crop out within the Coast Ranges. Large variation of Zr concentrations measured throughout the Bay area document that significant hydrodynamic fractionation impacts sediment delivery through this segment of the system. The more Sierra Nevada-like detrital zircon age distribution yielded by a piston-core sample from the continental slope may be explained by either early-stage unroofing of the Coast Ranges or more efficient sand delivery from the delta to the Pacific by a free flowing river driven by a low stand in sea level.","language":"English","publisher":"AJS","doi":"10.2475/10.2019.02","usgsCitation":"Malkowski, M., Sharman, G.R., Johnstone, S., Grove, M.J., Kimbrough, D.L., and Graham, S.A., 2020, Dilution and propagation of provenance trends in sand and mud: Geochemistry and detrital zircon geochronology of modern sediment from central California (U.S.A.): American Journal of Science, v. 319, p. 846-902, https://doi.org/10.2475/10.2019.02.","productDescription":"57 p.","startPage":"846","endPage":"902","ipdsId":"IP-101193","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":371511,"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 -122.34374999999999,\n 41.31082388091818\n ],\n [\n -123.0908203125,\n 41.21172151054787\n ],\n [\n -123.26660156249999,\n 39.9434364619742\n ],\n [\n -122.431640625,\n 38.71980474264237\n ],\n [\n -121.86035156249999,\n 37.64903402157866\n ],\n [\n -121.11328124999999,\n 36.38591277287651\n ],\n [\n -119.92675781249999,\n 35.17380831799959\n ],\n [\n -119.00390625,\n 34.56085936708384\n ],\n [\n -118.21289062499999,\n 34.56085936708384\n ],\n [\n -118.65234374999999,\n 36.38591277287651\n ],\n [\n -119.970703125,\n 38.09998264736481\n ],\n [\n -121.46484375,\n 40.1452892956766\n ],\n [\n -122.34374999999999,\n 41.31082388091818\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"319","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Malkowski, Matthew A.","contributorId":221753,"corporation":false,"usgs":false,"family":"Malkowski","given":"Matthew A.","affiliations":[{"id":40415,"text":". Department of Geological Sciences, Stanford University, Stanford CA 94305","active":true,"usgs":false}],"preferred":false,"id":780126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharman, Glenn R.","contributorId":196537,"corporation":false,"usgs":false,"family":"Sharman","given":"Glenn","email":"","middleInitial":"R.","affiliations":[{"id":34621,"text":"Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA","active":true,"usgs":false}],"preferred":false,"id":780127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":780310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grove, Marty J.","contributorId":221754,"corporation":false,"usgs":false,"family":"Grove","given":"Marty","email":"","middleInitial":"J.","affiliations":[{"id":40416,"text":"Department of Geological Sciences, Stanford University, Stanford CA 94305","active":true,"usgs":false}],"preferred":false,"id":780128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kimbrough, Dave L.","contributorId":221755,"corporation":false,"usgs":false,"family":"Kimbrough","given":"Dave","email":"","middleInitial":"L.","affiliations":[{"id":40417,"text":"Department of Geological Sciences, San Diego State University, San Diego, CA 92182","active":true,"usgs":false}],"preferred":false,"id":780129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graham, Stephen A.","contributorId":221756,"corporation":false,"usgs":false,"family":"Graham","given":"Stephen","email":"","middleInitial":"A.","affiliations":[{"id":40416,"text":"Department of Geological Sciences, Stanford University, Stanford CA 94305","active":true,"usgs":false}],"preferred":false,"id":780130,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208020,"text":"70208020 - 2020 - Binning singletons: Mentoring through networking at ASM microbe 2019","interactions":[],"lastModifiedDate":"2020-01-24T06:34:05","indexId":"70208020","displayToPublicDate":"2020-01-24T06:33:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5160,"text":"mSphere","active":true,"publicationSubtype":{"id":10}},"title":"Binning singletons: Mentoring through networking at ASM microbe 2019","docAbstract":"The American Society for Microbiology (ASM) national conference, Microbe, is the flagship meeting for microbiologists across the globe. The presence of roughly 10,000 attendees provides enormous opportunities for networking and learning. However, such a large meeting can be intimidating to many, especially early career scientists, students, those attending alone, and those from historically underrepresented groups. While mentorship is widely valued by ASM and its members, finding concrete ways to develop new and diverse mentoring opportunities can be a challenge. We recognized the need for an initiative aimed at expanding peer-to-peer mentoring, facilitating networking, and providing support for Microbe attendees; therefore, we created the program Binning Singletons for ASM Microbe 2019. The program consisted of five steps named after tools or phenomena in the profession of microbiology: (i) Identify the Singletons (e.g., individuals attending alone), (ii) Bin the Singletons, (iii) Horizontal Transfer, (iv) Quorum Sensing, and (v) Exponential Growth. These steps resulted in the matching of participants unsure of how to get the most out of their conference experience (e.g., singletons) with mentors who assisted with meeting planning, networking, and/or impostor syndrome. Started on social media only a month before ASM Microbe 2019, the program successfully launched despite limited time and resources. Binning Singletons improved inclusivity and networking opportunities for participants at the conference. Here, we discuss what worked, and what can be improved, with an eye toward development of the Binning Singletons model for future conferences to provide opportunities to increase inclusivity, networking, and accessibility for singletons and build a stronger scientific community.","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/mSphere.00643-19","usgsCitation":"James, J.B., Gunn, A.L., and Akob, D., 2020, Binning singletons: Mentoring through networking at ASM microbe 2019: mSphere, no. 5, e00643-19, 8 p., https://doi.org/10.1128/mSphere.00643-19.","productDescription":"e00643-19, 8 p.","ipdsId":"IP-111459","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458029,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/msphere.00643-19","text":"Publisher Index Page"},{"id":371509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"James, Joseph B.","contributorId":221772,"corporation":false,"usgs":false,"family":"James","given":"Joseph","email":"","middleInitial":"B.","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":780168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gunn, Amanda L.","contributorId":221773,"corporation":false,"usgs":false,"family":"Gunn","given":"Amanda","email":"","middleInitial":"L.","affiliations":[{"id":40424,"text":"Grays Harbor College","active":true,"usgs":false}],"preferred":false,"id":780169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":780167,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208187,"text":"70208187 - 2020 - Website usability differences between males and females: An eye-tracking evaluation of a climate decision support system","interactions":[],"lastModifiedDate":"2020-01-29T19:56:04","indexId":"70208187","displayToPublicDate":"2020-01-23T19:53:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5829,"text":"Weather, Climate, and Society","printIssn":"1948-8327","active":true,"publicationSubtype":{"id":10}},"title":"Website usability differences between males and females: An eye-tracking evaluation of a climate decision support system","docAbstract":"Decision support systems, which are collections of related information located in a central place, can be used as platforms from which climate information can be shared with decision-makers. In this study, a web-based climate decision support system (DSS) for foresters in the Southeast United States was evaluated using eye-tracking technology. The initial study design was exploratory and focused on assessing usability concerns within the website. Results showed differences between male and female forestry experts in their eye-tracking behavior and in their success with completing tasks and answering questions related to the climate information presented in the DSS. A follow-up study, using undergraduate students from a large university in the Southeast United States, aimed to determine if similar gender differences would be detected, and if so, if the cause(s) could be determined. The second evaluation, similar to the first, showed that males and females focused their attention on different aspects of the website; males focused more on the maps depicting climate information, while females focused more on other aspects of the website (e.g., text, search bars, color bars). DSS developers should consider these gender differences when designing a web-based DSS in order to effectively support various populations of users.","language":"English","publisher":"American Meteorological Society","doi":"10.1175/WCAS-D-18-0127.1","usgsCitation":"Mauldin, L.C., McNeal, K., Aldridge, H.D., Davis, C., Boyles, R., and Atkins, R.M., 2020, Website usability differences between males and females: An eye-tracking evaluation of a climate decision support system: Weather, Climate, and Society, v. 12, p. 183-192, https://doi.org/10.1175/WCAS-D-18-0127.1.","productDescription":"10 p.","startPage":"183","endPage":"192","ipdsId":"IP-099494","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":458032,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/wcas-d-18-0127.1","text":"Publisher Index Page"},{"id":371751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mauldin, Lindsay C.","contributorId":221984,"corporation":false,"usgs":false,"family":"Mauldin","given":"Lindsay","email":"","middleInitial":"C.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":780870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNeal, Karen","contributorId":221985,"corporation":false,"usgs":false,"family":"McNeal","given":"Karen","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":780871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Heather D","contributorId":221986,"corporation":false,"usgs":false,"family":"Aldridge","given":"Heather","email":"","middleInitial":"D","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":780872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Corey","contributorId":221987,"corporation":false,"usgs":false,"family":"Davis","given":"Corey","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":780873,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyles, Ryan 0000-0001-9272-867X","orcid":"https://orcid.org/0000-0001-9272-867X","contributorId":221983,"corporation":false,"usgs":true,"family":"Boyles","given":"Ryan","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":780869,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Atkins, Rachel M.","contributorId":221988,"corporation":false,"usgs":false,"family":"Atkins","given":"Rachel","email":"","middleInitial":"M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":780874,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208027,"text":"70208027 - 2020 - The historical context of contemporary climatic adaptation: A case study in the climatically dynamic and environmentally complex southwestern United States","interactions":[],"lastModifiedDate":"2020-05-05T16:40:13.396539","indexId":"70208027","displayToPublicDate":"2020-01-23T17:08:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"The historical context of contemporary climatic adaptation: A case study in the climatically dynamic and environmentally complex southwestern United States","docAbstract":"The process of adaptation can be highly dependent upon historical and contemporary factors, especially in environmentally and topographically complex regions affected by Pleistocene glaciations. Here, we investigate Hilaria jamesii (Poaceae), a dryland C4 graminoid, to test how patterns of adaptive genetic variation are linked to its glacial and post‐glacial history. We show that the species persisted in a single, southern refugium during the last glacial period and subsequently migrated throughout its current distribution concurrent with post‐glacial warming. The species’ putative adaptive genetic variation correlates with climatic gradients (e.g. monsoon precipitation and mean diurnal temperature range) that covary with the species’ probable route of demographic expansion. The short timescale and multiple climatic dimensions of adaptation imply that natural selection acted primarily upon standing genetic variation. These findings suggest that restoration and conservation practices should prioritize the maintenance of standing genetic variation to ensure that species have the capacity to respond to future environmental changes.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.04840","usgsCitation":"Massatti, R., and Knowles, L.L., 2020, The historical context of contemporary climatic adaptation: A case study in the climatically dynamic and environmentally complex southwestern United States: Ecography, v. 43, no. 5, p. 735-746, https://doi.org/10.1111/ecog.04840.","productDescription":"12 p.","startPage":"735","endPage":"746","ipdsId":"IP-104886","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":458035,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.04840","text":"Publisher Index Page"},{"id":437143,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CNFWOX","text":"USGS data release","linkHelpText":"Hilaria jamesii data for the Colorado Plateau of the southwestern United States"},{"id":371543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California Colorado, Nevada, New Mexico, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.89355468749999,\n 31.052933985705163\n ],\n [\n -101.77734374999999,\n 31.052933985705163\n ],\n [\n -101.77734374999999,\n 42.65012181368022\n ],\n [\n -120.89355468749999,\n 42.65012181368022\n ],\n [\n -120.89355468749999,\n 31.052933985705163\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":780204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knowles, L. Lacey","contributorId":221781,"corporation":false,"usgs":false,"family":"Knowles","given":"L.","email":"","middleInitial":"Lacey","affiliations":[{"id":40427,"text":"Department of Ecology and Evolutionary Biology, The University of Michigan, Ann Arbor, MI 41809-1079, USA","active":true,"usgs":false}],"preferred":false,"id":780205,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210889,"text":"70210889 - 2020 - Final Alabama Barrier Island restoration assessment report, appendix A: Data management plan","interactions":[],"lastModifiedDate":"2020-07-01T15:57:55.260529","indexId":"70210889","displayToPublicDate":"2020-01-23T10:53:46","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Final Alabama Barrier Island restoration assessment report, appendix A: Data management plan","docAbstract":"The Alabama Barrier Island Restoration Assessment project focused exclusively on Dauphin Island, a significant barrier island along the northern Gulf of Mexico. This restoration feasibility study effort required data collection and analysis of many data types (e.g., hydro, sediment, currents, etc.) through the project’s life cycle to assess restoration measures and their effects on the sustainability of Dauphin Island. As such, the project requires a data management plan (DMP) to address issues such as data delivery format, organizational strategies, internal data sharing, archival processes, and product dissemination.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/70210889","usgsCitation":"Hunnicutt, C.B., and Conzelmann, C., 2020, Final Alabama Barrier Island restoration assessment report, appendix A: Data management plan, 24 p., https://doi.org/10.3133/70210889.","productDescription":"24 p.","ipdsId":"IP-115954","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":376060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":376059,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://gom.usgs.gov/DauphinIsland/data/AppA_Dauphin_DataMngmtPlan_2020_final.pdf"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.07241439819336,\n 30.24853922017171\n ],\n [\n -88.09249877929688,\n 30.261736090037477\n ],\n [\n -88.11532974243164,\n 30.267814950364478\n ],\n [\n -88.15361022949219,\n 30.26336704072365\n ],\n [\n -88.2143783569336,\n 30.25076353594852\n ],\n [\n -88.21249008178711,\n 30.24542509348503\n ],\n [\n -88.15034866333008,\n 30.247352897833554\n ],\n [\n -88.12940597534178,\n 30.244387029323946\n ],\n [\n -88.11687469482422,\n 30.227628190725536\n ],\n [\n -88.07344436645508,\n 30.244387029323946\n ],\n [\n -88.07241439819336,\n 30.24853922017171\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hunnicutt, Christina B. 0000-0001-8624-6420 hunnicuttc@usgs.gov","orcid":"https://orcid.org/0000-0001-8624-6420","contributorId":5011,"corporation":false,"usgs":true,"family":"Hunnicutt","given":"Christina","email":"hunnicuttc@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":791955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conzelmann, Craig 0000-0002-4227-8719","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":202364,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":791956,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}