With increased pressure from a growing human population, managers are challenged to understand how novel disturbances (e.g., climate change, increased water withdrawals, urbanization) may affect natural resources. The Sudbury River is a National Wild and Scenic River located in suburban Boston, Massachusetts (Northeastern US) with myriad impairments (e.g., mainstem impoundments, withdrawals, and urbanization) that is under increasing pressure from hydrologic alteration. We sampled fish, mussel, and macroinvertebrate assemblages in the Sudbury River and used species traits to investigate potential effects of past and future flow alteration on biota. Analysis of 33 years of stream gage data indicates continued hydrologic alteration of the Sudbury River, likely related to increased urbanization and water withdrawals over that time. These changes include a roughly 200% increase in rise rates of flows, an approximate 65% decrease in 1-day minimum flows, and a trend towards increasing high flow pulse counts. Biotic sampling in summer of 2014 demonstrated that the Sudbury River is now dominated by generalist species. Of five mussel species sampled, all are generalists in their habitat requirements. Though one mussel species of special concern was sampled, the most abundant species collected were the widespread Eastern elliptio (58%) and Eastern lampmussel (40%). We used the target fish community (TFC) model to assess the degree to which the fish assemblage deviated from that expected for a river with similar zoogeographic and physical features. Overall, the current community has a 22.7% similarity to the TFC. Of the four fluvial specialist species present in the TFC, only fallfish was sampled in our study. While the TFC showed that the historical assemblage was likely dominated by fluvial specialist and fluvial dependent species, the current assemblage is overwhelmingly dominated by macrohabitat generalists (90.6% of fishes sampled). These results are consistent with other studies that show shifts in assemblages from fluvial specialists to habitat generalists with hydrologic alteration. If the current trends continue, it is likely that biotic assemblages will experience increasing pressure from hydrologic alteration. While hydrologic alteration is likely impacting biotic assemblages in the Sudbury River, other factors such as high temperatures, low dissolved oxygen, high nutrients, low availability of high-quality habitat, and poor habitat connectivity may also be negatively impacting biotic assemblages. Comparisons to other rivers and a complete longitudinal habitat survey could help to identify availability of unique habitats and representativeness of this study. While this study suggests impacts of flow on biota, future studies with quantitative, habitat-specific sampling during different flow levels could help to directly identify links between hydrologic alteration and biotic impairment in the Sudbury River.
","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Roy, A.H., Jane, S.F., Hazelton, P.D., Richards, T.A., Finn, J.T., and Randhir, T.O., 2016, Establishing links between streamflow and ecological integrity in the Sudbury River (Northeastern U.S.): Cooperator Science Series 122-2016, vi, 78 p.","productDescription":"vi, 78 p.","ipdsId":"IP-065793","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340464,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/singleitem/collection/document/id/2152/rec/19"}],"country":"United States","state":"Massachussetts","otherGeospatial":"Sudbury River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.63497924804688,\n 42.13998671872691\n ],\n [\n -71.17767333984375,\n 42.13998671872691\n ],\n [\n -71.17767333984375,\n 42.5530802889558\n ],\n [\n -71.63497924804688,\n 42.5530802889558\n ],\n [\n -71.63497924804688,\n 42.13998671872691\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bae4b0c2e071a99b96","contributors":{"authors":[{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jane, Stephen F.","contributorId":191442,"corporation":false,"usgs":false,"family":"Jane","given":"Stephen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":693056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter D.","contributorId":171765,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richards, Todd A.","contributorId":52266,"corporation":false,"usgs":true,"family":"Richards","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finn, John T.","contributorId":43398,"corporation":false,"usgs":false,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":693059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Randhir, Timothy O.","contributorId":191443,"corporation":false,"usgs":false,"family":"Randhir","given":"Timothy","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":693060,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187297,"text":"70187297 - 2016 - Participatory modeling and structured decision making","interactions":[],"lastModifiedDate":"2017-05-02T09:49:06","indexId":"70187297","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Participatory modeling and structured decision making","docAbstract":"Structured decision making (SDM) provides a framework for making sound decisions even when faced with uncertainty, and is a transparent, defensible, and replicable method used to understand complex problems. A hallmark of SDM is the explicit incorporation of values and science, which often includes participation from multiple stakeholders, helping to garner trust and ultimately result in a decision that is more likely to be implemented. The core steps in the SDM process are used to structure thinking about natural resources management choices, and include: (1) properly defining the problem and the decision context, (2) determining the objectives that help describe the aspirations of the decision maker, (3) devising management actions or alternatives that can achieve those objectives, (4) evaluating the outcomes or consequences of each alternative on each of the objectives, (5) evaluating trade-offs, and (6) implementing the decision. Participatory modeling for SDM includes engaging stakeholders in some or all of the steps of the SDM process listed above. In addition, participatory modeling often is crucial for creating qualitative and quantitative models of how the system works, providing data for these models, and eliciting expert opinion when data are unavailable. In these ways, SDM provides a framework for decision making in natural resources management that includes participation from stakeholder groups throughout the process, including the modeling phase.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Environmental Modeling with Stakeholders","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-25053-3_5","usgsCitation":"Robinson, K., and Fuller, A.K., 2016, Participatory modeling and structured decision making, chap. of Environmental Modeling with Stakeholders, p. 83-101, https://doi.org/10.1007/978-3-319-25053-3_5.","productDescription":"18 p.","startPage":"83","endPage":"101","ipdsId":"IP-060120","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-17","publicationStatus":"PW","scienceBaseUri":"59099aaee4b0fc4e449157ec","contributors":{"authors":[{"text":"Robinson, Kelly F.","contributorId":140157,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":473,"text":"New York Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false},{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":693878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693229,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189528,"text":"70189528 - 2016 - Seismic‐hazard forecast for 2016 including induced and natural earthquakes in the central and eastern United States","interactions":[],"lastModifiedDate":"2017-07-14T13:23:24","indexId":"70189528","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Seismic‐hazard forecast for 2016 including induced and natural earthquakes in the central and eastern United States","docAbstract":"The U.S. Geological Survey (USGS) has produced a one‐year (2016) probabilistic seismic‐hazard assessment for the central and eastern United States (CEUS) that includes contributions from both induced and natural earthquakes that are constructed with probabilistic methods using alternative data and inputs. This hazard assessment builds on our 2016 final model (Petersen et al., 2016) by adding sensitivity studies, illustrating hazard in new ways, incorporating new population data, and discussing potential improvements. The model considers short‐term seismic activity rates (primarily 2014–2015) and assumes that the activity rates will remain stationary over short time intervals. The final model considers different ways of categorizing induced and natural earthquakes by incorporating two equally weighted earthquake rate submodels that are composed of alternative earthquake inputs for catalog duration, smoothing parameters, maximum magnitudes, and ground‐motion models. These alternatives represent uncertainties on how we calculate earthquake occurrence and the diversity of opinion within the science community. In this article, we also test sensitivity to the minimum moment magnitude between M 4 and M 4.7 and the choice of applying a declustered catalog with b=1.0 rather than the full catalog with b=1.3. We incorporate two earthquake rate submodels: in the informed submodel we classify earthquakes as induced or natural, and in the adaptive submodel we do not differentiate. The alternative submodel hazard maps both depict high hazard and these are combined in the final model. Results depict several ground‐shaking measures as well as intensity and include maps showing a high‐hazard level (1% probability of exceedance in 1 year or greater). Ground motions reach 0.6g horizontal peak ground acceleration (PGA) in north‐central Oklahoma and southern Kansas, and about 0.2g PGA in the Raton basin of Colorado and New Mexico, in central Arkansas, and in north‐central Texas near Dallas–Fort Worth. The chance of having levels of ground motions corresponding to modified Mercalli intensity (MMI) VI or greater earthquake shaking is 2%–12% per year in north‐central Oklahoma and southern Kansas and New Madrid similar to the chance of damage at sites in high‐hazard portions of California caused by natural earthquakes. Hazard is also significant in the Raton basin of Colorado/New Mexico; north‐central Arkansas; Dallas–Fort Worth, Texas; and in a few other areas. Hazard probabilities are much lower (by about half or more) for exceeding MMI VII or VIII. Hazard is 3‐ to 10‐fold higher near some areas of active‐induced earthquakes than in the 2014 USGS National Seismic Hazard Model (NSHM), which did not consider induced earthquakes. This study in conjunction with the LandScan TM Database (2013) indicates that about 8 million people live in areas of active injection wells that have a greater than 1% chance of experiencing damaging ground shaking (MMI≥VI) in 2016. The final model has high uncertainty, and engineers, regulators, and industry should use these assessments cautiously to make informed decisions on mitigating the potential effects of induced and natural earthquakes.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160072","usgsCitation":"Petersen, M.D., Mueller, C., Moschetti, M.P., Hoover, S.M., Llenos, A.L., Ellsworth, W.L., Michael, A.J., Rubinstein, J.L., McGarr, A.F., and Rukstales, K.S., 2016, Seismic‐hazard forecast for 2016 including induced and natural earthquakes in the central and eastern United States: Seismological Research Letters, v. 87, no. 6, p. 1327-1341, https://doi.org/10.1785/0220160072.","productDescription":"15 p. 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mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoover, Susan M. 0000-0002-8682-6668 shoover@usgs.gov","orcid":"https://orcid.org/0000-0002-8682-6668","contributorId":5715,"corporation":false,"usgs":true,"family":"Hoover","given":"Susan","email":"shoover@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705056,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705057,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705058,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705059,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785 jrubinstein@usgs.gov","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":2404,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"jrubinstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705060,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGarr, Arthur F. 0000-0001-9769-4093 mcgarr@usgs.gov","orcid":"https://orcid.org/0000-0001-9769-4093","contributorId":3178,"corporation":false,"usgs":true,"family":"McGarr","given":"Arthur","email":"mcgarr@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705061,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rukstales, Kenneth S. 0000-0003-2818-078X rukstales@usgs.gov","orcid":"https://orcid.org/0000-0003-2818-078X","contributorId":775,"corporation":false,"usgs":true,"family":"Rukstales","given":"Kenneth","email":"rukstales@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705062,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70198152,"text":"70198152 - 2016 - Orbital monitoring of martian surface changes","interactions":[],"lastModifiedDate":"2018-07-18T09:56:06","indexId":"70198152","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Orbital monitoring of martian surface changes","docAbstract":"A history of martian surface changes is documented by a sequence of global mosaics made up of Mars Global Surveyor Mars Orbiter Camera daily color images from 1999 to 2006, together with a single mosaic from the Mars Reconnaissance Orbiter Mars Color Imager in 2009. These observations show that changes in the global albedo patterns of Mars take place by a combination of dust storms and strong winds. Many of the observed surface changes took place along the tracks of seasonally repeating winter dust storms cataloged by Wang and Richardson (2015). These storms tend to sweep dust towards the equator, progressively shifting albedo boundaries and continuing surface changes that began before the arrival of MGS. The largest and most conspicuous changes took place during the global dust storm of 2001 (MY 25), which blanketed Syrtis Major, stripped dust from the Tharsis region, and injected dust into Solis Planum. High wind speeds but low wind stresses are predicted in Syrtis, Tharsis and Solis by the NASA Ames GCM. Frequent changes in these regions show that dust accumulations are quickly removed by stronger winds that are not predicted by the GCM, but may result from smaller-scale influences such as unresolved topography.","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2016.05.023","usgsCitation":"Geissler, P.E., Fenton, L., Enga, M., and Mukherjee, P., 2016, Orbital monitoring of martian surface changes: Icarus, v. 278, p. 279-300, https://doi.org/10.1016/j.icarus.2016.05.023.","productDescription":"22 p.","startPage":"279","endPage":"300","ipdsId":"IP-054080","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":355749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"278","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc7d7e4b0f5d57878ebf3","contributors":{"authors":[{"text":"Geissler, Paul E. pgeissler@usgs.gov","contributorId":2811,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","email":"pgeissler@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":740273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenton, L.K.","contributorId":206378,"corporation":false,"usgs":false,"family":"Fenton","given":"L.K.","email":"","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":740274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enga, M.","contributorId":206379,"corporation":false,"usgs":false,"family":"Enga","given":"M.","email":"","affiliations":[{"id":37320,"text":"Macomb Community College","active":true,"usgs":false}],"preferred":false,"id":740275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mukherjee, P.","contributorId":206380,"corporation":false,"usgs":false,"family":"Mukherjee","given":"P.","email":"","affiliations":[{"id":13342,"text":"Mesa Community College","active":true,"usgs":false}],"preferred":false,"id":740276,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197971,"text":"70197971 - 2016 - Changes in blast zone albedo patterns around new martian impact craters","interactions":[],"lastModifiedDate":"2018-11-01T15:04:16","indexId":"70197971","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Changes in blast zone albedo patterns around new martian impact craters","docAbstract":"“Blast zones” (BZs) around new martian craters comprise various albedo features caused by the initial impact, including diffuse halos, extended linear and arcuate rays, secondary craters, ejecta patterns, and dust avalanches. We examined these features for changes in repeat images separated by up to four Mars years. Here we present the first comprehensive survey of the qualitative and quantitative changes observed in impact blast zones over time. Such changes are most likely due to airfall of high-albedo dust restoring darkened areas to their original albedo, the albedo of adjacent non-impacted surfaces. Although some sites show drastic changes over short timescales, nearly half of the sites show no obvious changes over several Mars years. Albedo changes are more likely to occur at higher-latitude sites, lower-elevation sites, and at sites with smaller central craters. No correlation was seen between amount of change and Dust Cover Index, relative halo size, or historical regional albedo changes. Quantitative albedo measurements of the diffuse dark halos relative to their surroundings yielded estimates of fading lifetimes for these features. The average lifetime among sites with measurable fading is ∼15 Mars years; the median is ∼8 Mars years for a linear brightening. However, at approximately half of sites with three or more repeat images, a nonlinear function with rapid initial fading followed by a slow increase in albedo provides a better fit to the fading behavior; this would predict even longer lifetimes. The predicted lifetimes of BZs are comparable to those of slope streaks, and considered representative of fading by global atmospheric dust deposition; they last significantly longer than dust devil or rover tracks, albedo features that are erased by different processes. These relatively long lifetimes indicate that the measurement of the current impact rate by Daubar et al. does not suffer significantly from overall under-sampling due to blast zones fading before new impact sites can be initially discovered. However, the prevalence of changes seen around smaller craters may explain in part their shallower size frequency distribution.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2015.11.032","usgsCitation":"Daubar, I.J., Dundas, C.M., Byrne, S., Geissler, P.E., Bart, G., McEwen, A.S., Russell, P., Chojnacki, M., and Golombek, M., 2016, Changes in blast zone albedo patterns around new martian impact craters: Icarus, v. 267, p. 86-105, https://doi.org/10.1016/j.icarus.2015.11.032.","productDescription":"20 p.","startPage":"86","endPage":"105","ipdsId":"IP-065072","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":355431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"267","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e7b2e4b060350a15d321","contributors":{"authors":[{"text":"Daubar, Ingrid J.","contributorId":204233,"corporation":false,"usgs":false,"family":"Daubar","given":"Ingrid","email":"","middleInitial":"J.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":739393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":739394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":739395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geissler, Paul E. pgeissler@usgs.gov","contributorId":2811,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","email":"pgeissler@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":739392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bart, Gwen","contributorId":206095,"corporation":false,"usgs":false,"family":"Bart","given":"Gwen","affiliations":[{"id":37244,"text":"UIdaho","active":true,"usgs":false}],"preferred":false,"id":739398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":739396,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Russell, Patrick","contributorId":206094,"corporation":false,"usgs":false,"family":"Russell","given":"Patrick","affiliations":[{"id":37243,"text":"SI","active":true,"usgs":false}],"preferred":false,"id":739397,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chojnacki, Matthew","contributorId":201621,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":739399,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Golombek, M.P.","contributorId":52696,"corporation":false,"usgs":true,"family":"Golombek","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":739404,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70193497,"text":"70193497 - 2016 - Resource potential for commodities in addition to Uranium in sandstone-hosted deposits","interactions":[],"lastModifiedDate":"2020-08-20T20:17:04.481889","indexId":"70193497","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5459,"text":"Reviews in Economic Geology","active":true,"publicationSubtype":{"id":24}},"chapter":"13","title":"Resource potential for commodities in addition to Uranium in sandstone-hosted deposits","docAbstract":"Sandstone-hosted deposits mined primarily for their uranium content also have been a source of vanadium and modest amounts of copper. Processing of these ores has also recovered small amounts of molybdenum, rhenium, rare earth elements, scandium, and selenium. These deposits share a generally common origin, but variations in the source of metals, composition of ore-forming solutions, and geologic history result in complex variability in deposit composition. This heterogeneity is evident regionally within the same host rock, as well as within districts. Future recovery of elements associated with uranium in these deposits will be strongly dependent on mining and ore-processing methods.
","largerWorkTitle":"Rare earth and critical elements in ore deposits","language":"English","publisher":"Society of Economic Geologists","usgsCitation":"Breit, G.N., 2016, Resource potential for commodities in addition to Uranium in sandstone-hosted deposits, chap. 13 of Rare earth and critical elements in ore deposits: Reviews in Economic Geology, p. 323-338.","productDescription":"16 p.","startPage":"323","endPage":"338","ipdsId":"IP-057031","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":349564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e19","contributors":{"authors":[{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719258,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193576,"text":"70193576 - 2016 - U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory","interactions":[],"lastModifiedDate":"2017-11-29T14:22:12","indexId":"70193576","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"subseriesTitle":"Field Guide 44","title":"U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory","docAbstract":"This 2016 Geological Society of America (GSA) Annual Meeting trip will explore\nthe Core Research Center, Paleontological Collection, and National Science Foundation\nNational Ice Core Laboratory—three collections of major national signifi cance\nmanaged by the U.S. Geological Survey (USGS). Since its inception in 1879, USGS\nhas collected, preserved, and managed physical collections for scientifi c investigations\nof Earth’s systems. The Core Research Center is the largest federal core repository\nin the United States, where over 74 million meters (242 million feet) of the subsurface\nare represented by the collection of rock cores and well cuttings, available for use by\nresearchers investigating resource potential, tectonics, structures, aquifers, and more.\nThe USGS has conducted paleontological research for more than 110 years to\ninform geological mapping, biostratigraphy, paleoecology, paleoclimate, and other\nresearch. Most of these paleontological samples are at the Smithsonian Institution\nNational Museum of Natural History (NMNH) and USGS Denver facilities. The\nUSGS Denver paleontological collection includes ~1.2 million samples. Ancillary\nmaterials consisting of handwritten ledgers, index cards, fi eld reports, maps, and\nother information produced by USGS investigators provide profound knowledge\nabout the specimens and associated geological systems. The USGS is working with\nNMNH to systematically digitize the collection to preserve and expose samples and\ndata to research.\nThe National Science Foundation (NSF) National Ice Core Laboratory (NICL) is\nthe nation’s repository for preserving, archiving, and sampling meteoric ice cores collected\nfrom the world’s ice sheets, ice caps, and glaciers, mostly from Antarctica and\nGreenland. NICL’s primary mission is to store and curate ice cores, primarily collected\nduring NSF-sponsored projects, for present and future sample investigations.","largerWorkTitle":"Unfolding the Geology of the West","language":"English","publisher":"The Geological Society of America","doi":"10.1130/2016.0044(06)","usgsCitation":"Latysh, N., 2016, U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory, chap. of Unfolding the Geology of the West, p. 143-150, https://doi.org/10.1130/2016.0044(06).","productDescription":"8 p.","startPage":"143","endPage":"150","ipdsId":"IP-075555","costCenters":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true}],"links":[{"id":349557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348070,"type":{"id":15,"text":"Index Page"},"url":"https://rock.geosociety.org/Store/detail.aspx?id=FLD044"}],"country":"United States","state":"Colorado","city":"Denver","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e17","contributors":{"authors":[{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true}],"preferred":true,"id":719417,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70190301,"text":"70190301 - 2016 - Teaching animal habitat selection using wildlife tracking equipment","interactions":[],"lastModifiedDate":"2017-08-24T12:07:29","indexId":"70190301","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5479,"text":"Science Activities","active":true,"publicationSubtype":{"id":10}},"title":"Teaching animal habitat selection using wildlife tracking equipment","docAbstract":"We present a hands-on outdoor activity coupled with classroom discussion to teach students about wildlife habitat selection, the process by which animals choose where to live. By selecting locations or habitats with many benefits (e.g., food, shelter, mates) and few costs (e.g., predators), animals improve their ability to survive and reproduce. Biologists track animal movement using radio telemetry technology to study habitat selection so they can better provide species with habitats that promote population growth. We present a curriculum in which students locate “animals” (transmitters) using radio telemetry equipment and apply math skills (use of fractions and percentages) to assess their “animal's” habitat selection by comparing the availability of habitat types with the proportion of “animals” they find in each habitat type.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00368121.2016.1211080","usgsCitation":"Laskowski, J., Gillespie, C.R., Corral, L., Oden, A., Fricke, K.A., and Fontaine, J.J., 2016, Teaching animal habitat selection using wildlife tracking equipment: Science Activities, v. 53, no. 4, p. 147-154, https://doi.org/10.1080/00368121.2016.1211080.","productDescription":"8 p.","startPage":"147","endPage":"154","ipdsId":"IP-055757","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":345109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"599fe5b9e4b038630d0220fe","contributors":{"authors":[{"text":"Laskowski, Jessica","contributorId":195834,"corporation":false,"usgs":false,"family":"Laskowski","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":708383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillespie, Caitlyn R.","contributorId":195835,"corporation":false,"usgs":false,"family":"Gillespie","given":"Caitlyn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corral, Lucia","contributorId":166717,"corporation":false,"usgs":false,"family":"Corral","given":"Lucia","email":"","affiliations":[],"preferred":false,"id":708385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oden, Amy","contributorId":195836,"corporation":false,"usgs":false,"family":"Oden","given":"Amy","email":"","affiliations":[],"preferred":false,"id":708386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fricke, Kent A.","contributorId":45193,"corporation":false,"usgs":true,"family":"Fricke","given":"Kent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fontaine, Joseph J. 0000-0002-7639-9156 jfontaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-9156","contributorId":3820,"corporation":false,"usgs":true,"family":"Fontaine","given":"Joseph","email":"jfontaine@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":708358,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192412,"text":"70192412 - 2016 - Use of lidar point cloud data to support estimation of residual trace metals stored in mine chat piles in the Old Lead Belt of southeastern, Missouri","interactions":[],"lastModifiedDate":"2017-11-15T12:07:32","indexId":"70192412","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3893,"text":"AIMS Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Use of lidar point cloud data to support estimation of residual trace metals stored in mine chat piles in the Old Lead Belt of southeastern, Missouri","docAbstract":"Historic lead and zinc (Pb-Zn) mining in southeast Missouri’s ―Old Lead Belt‖ has left large chat piles dominating the landscape where prior to 1972 mining was the major industry of the region. As a result of variable beneficiation methods over the history of mining activity, these piles remain with large quantities of unrecovered Pb and Zn and to a lesser extent cadmium (Cd). Quantifying the residual content of trace metals in chat piles is problematic because of the extensive field effort that must go into collecting elevation points for volumetric analysis. This investigation demonstrates that publicly available lidar point data from the U.S. Geological Survey 3D Elevation Program (3DEP) can be used to effectively calculate chat pile volumes as a method of more accurately estimating the total residual trace metal content in these mining wastes. Five chat piles located in St. Francois County, Missouri, were quantified for residual trace metal content. Utilizing lidar point cloud data collected in 2011 and existing trace metal concentration data obtained during remedial investigations, residual content of these chat piles ranged from 9247 to 88,579 metric tons Pb, 1925 to 52,306 metric tons Zn, and 51 to 1107 metric tons Cd. Development of new beneficiation methods for recovering these constituents from chat piles would need to achieve current Federal soil screening standards. To achieve this for the five chat piles investigated, 42 to 72% of residual Pb would require mitigation to the 1200 mg/kg Federal non-playground standard, 88 to 98% of residual Zn would require mitigation to the Ecological Soil Screening level (ESSL) for plant life, and 70% to 98% of Cd would require mitigation to achieve the ESSL. Achieving these goals through an existing or future beneficiation method(s) would remediate chat to a trace metal concentration level that would support its use as a safe agricultural soil amendment.","language":"English","publisher":"AIMS Press","doi":"10.3934/environsci.2016.3.509","usgsCitation":"Witt, E.C., 2016, Use of lidar point cloud data to support estimation of residual trace metals stored in mine chat piles in the Old Lead Belt of southeastern, Missouri: AIMS Environmental Science, v. 3, no. 3, p. 509-524, https://doi.org/10.3934/environsci.2016.3.509.","productDescription":"16 p.","startPage":"509","endPage":"524","ipdsId":"IP-073845","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":470298,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/environsci.2016.3.509","text":"Publisher Index Page"},{"id":348883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91,\n 37.39634613318923\n ],\n [\n -90.33,\n 37.39634613318923\n ],\n [\n -90.33,\n 37.94419750075404\n ],\n [\n -91,\n 37.94419750075404\n ],\n [\n -91,\n 37.39634613318923\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc66e4b06e28e9c23e1f","contributors":{"authors":[{"text":"Witt, Emitt C. III 0000-0002-1814-7807 ecwitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7807","contributorId":1612,"corporation":false,"usgs":true,"family":"Witt","given":"Emitt","suffix":"III","email":"ecwitt@usgs.gov","middleInitial":"C.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":715741,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70191678,"text":"70191678 - 2016 - A simple rubric for Stratigraphic Fidelity (β) of paleoenvironmental time series","interactions":[],"lastModifiedDate":"2017-10-25T12:42:00","indexId":"70191678","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"A simple rubric for Stratigraphic Fidelity (β) of paleoenvironmental time series","docAbstract":"The Pliocene, specifically the late Pliocene, has been a focus of paleoclimate research formore than 25 years. Synoptic regional\nand global reconstructions along with high-resolution time-series have produced nuanced conceptual models of paleoenvironmental\nconditions and enhanced our understanding of climate variability and climate sensitivity from the Late Pliocene, the most\nrecent interval of global warmth similar to what is projected for the end of the 21st century. These data are used as a source of boundary\nconditions for climate models as well as ameans of verification of global climate model experiments. In this note, we introduce a measure\nof stratigraphic fidelity, ß, used to characterize the chronology and achievable resolution of an ever-growing library of Pliocene\npaleoenvironmental time-series. The ß index serves as an aid to end-users by allowing selection of time-series that meet the stratigraphic\nrequirements of a particular study.","language":"English","publisher":"MicroPress","usgsCitation":"Dowsett, H.J., Robinson, M.M., and Foley, K.M., 2016, A simple rubric for Stratigraphic Fidelity (β) of paleoenvironmental time series: Stratigraphy, v. 13, no. 4, p. 303-305.","productDescription":"3 p.","startPage":"303","endPage":"305","ipdsId":"IP-086569","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":347351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346751,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-329"}],"volume":"13","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a6e4b0220bbd9d9f67","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":713039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","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":713040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","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":713041,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191647,"text":"70191647 - 2016 - Life history and status of Shortnose Sturgeon (Acipenser brevirostrum LeSueur, 1818)","interactions":[],"lastModifiedDate":"2018-01-05T16:14:36","indexId":"70191647","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Life history and status of Shortnose Sturgeon (Acipenser brevirostrum LeSueur, 1818)","title":"Life history and status of Shortnose Sturgeon (Acipenser brevirostrum LeSueur, 1818)","docAbstract":"Shortnose Sturgeon = SNS (Acipenser brevirostrum) is a small diadromous species with most populations living in large Atlantic coast rivers and estuaries of North America from New Brunswick, Canada, to GA, USA. There are no naturally landlocked populations, so all populations require access to fresh water and salt water to complete a natural life cycle. The species is amphidromous with use of fresh water and salt water (the estuary) varied across the species range, a pattern that may reflect whether freshwater or saltwater habitats provide optimal foraging and growth conditions. Migration is a dominant behavior during life history, beginning when fish are hatchling free embryos (southern SNS) or larvae (northeastern and far northern SNS). Migration continues by juveniles and nonspawning adult life stages on an individual time schedule with fish moving between natal river and estuary to forage or seek refuge, and by spawning adults migrating to and from riverine spawning grounds. Coastal movements by adults throughout the range (but particularly in the Gulf of Maine = GOM and among southern rivers) suggest widespread foraging, refuge use, and widespread colonization of new rivers. Colonization may also be occurring in the Potomac River, MD–VA–DC (midAtlantic region). Genetic studies (mtDNA and nDNA) identified distinct individual river populations of SNS, and recent rangewide nDNA studies identified five distinct evolutionary lineages of SNS in the USA: a northern metapopulation in GOM rivers; the Connecticut River; the Hudson River; a Delaware River–Chesapeake Bay metapopulation; and a large southern metapopulation (SC rivers to Altamaha River, GA). The Saint John River, NB, Canada, in the Bay of Fundy (north of the GOM), is the sixth distinct genetic lineage within SNS. Life history information from telemetry tracking supports the genetic information documenting extensive movement of adults among rivers within the three metapopulations. However, individual river populations with spawning adults are still the best basal unit for management and recovery planning. The focus on individual river populations should be complemented with attention to migratory processes and corridors that foster metapopulation level risks and benefits. The species may be extirpated at the center of the range, i.e., the midAtlantic region (Chesapeake Bay, MD–VA, and probably, NC), but large rivers in VA, including the James and Potomac rivers, need study. The largest SNS populations in GOM and northeastern rivers, like the Kennebec, Hudson, and Delaware rivers, typically have tens of thousands of adults. This contrasts with southern rivers, where rivers typically have much fewer (<2500) adults, except for the Altamaha River (>6000 adults). River damming in the 19th and 20th Centuries extirpated some populations, and also, created two dysfunctional segmented populations: the Connecticut River SNS in CT–MA and the SanteeCooper rivers–Lake Marion SNS in SC. The major anthropogenic impact on SNS in marine waters is fisheries bycatch. The major impacts that determine annual recruitment success occur in freshwater firstly, where adult spawning migrations and spawning are blocked or spawning success is affected by river regulation and secondly, where poor survival of early life stages is caused by river dredging, pollution, and unregulated impingement/entrainment in water withdrawal facilities. Climate warming has the potential to reduce abundance or eliminate SNS in many rivers, particularly in the South. In 1998, the National Marine Fisheries Service (NMFS) recommended management of 19 rivers as distinct population segments (DPSs) based on strong fidelity to natal rivers. A Biological Assessment completed in 2010 reaffirmed this approach. NMFS has not formally listed DPSs under the ESA and the species remains listed as endangered rangewide in the USA.","language":"English","publisher":"Wiley","doi":"10.1111/jai.13244","usgsCitation":"Kynard, B., Bolden, S., Kieffer, M., Collins, M., Brundage, H., Hilton, E., Litvak, M., Kinnison, M.T., King, T.L., and Peterson, D.C., 2016, Life history and status of Shortnose Sturgeon (Acipenser brevirostrum LeSueur, 1818): Journal of Applied Ichthyology, v. 32, no. 51, p. 208-248, https://doi.org/10.1111/jai.13244.","productDescription":"11 p.","startPage":"208","endPage":"248","ipdsId":"IP-049173","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470303,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/jai.13244","text":"External Repository"},{"id":350345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"32","issue":"51","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-16","publicationStatus":"PW","scienceBaseUri":"5a60fc66e4b06e28e9c23e22","contributors":{"authors":[{"text":"Kynard, Boyd","contributorId":197212,"corporation":false,"usgs":false,"family":"Kynard","given":"Boyd","affiliations":[],"preferred":false,"id":712954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolden, Stephania","contributorId":197213,"corporation":false,"usgs":false,"family":"Bolden","given":"Stephania","affiliations":[],"preferred":false,"id":712955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kieffer, Micah 0000-0001-9310-018X mkieffer@usgs.gov","orcid":"https://orcid.org/0000-0001-9310-018X","contributorId":2641,"corporation":false,"usgs":true,"family":"Kieffer","given":"Micah","email":"mkieffer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Mark","contributorId":197214,"corporation":false,"usgs":false,"family":"Collins","given":"Mark","email":"","affiliations":[],"preferred":false,"id":712956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brundage, Hal","contributorId":197215,"corporation":false,"usgs":false,"family":"Brundage","given":"Hal","email":"","affiliations":[],"preferred":false,"id":712957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilton, Eric","contributorId":197216,"corporation":false,"usgs":false,"family":"Hilton","given":"Eric","email":"","affiliations":[],"preferred":false,"id":712958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Litvak, Mark","contributorId":197217,"corporation":false,"usgs":false,"family":"Litvak","given":"Mark","email":"","affiliations":[],"preferred":false,"id":712959,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":712960,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712961,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Peterson, Douglas C.","contributorId":140154,"corporation":false,"usgs":false,"family":"Peterson","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":712962,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70190769,"text":"70190769 - 2016 - High-latitude dust in the Earth system","interactions":[],"lastModifiedDate":"2017-09-14T09:18:06","indexId":"70190769","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"High-latitude dust in the Earth system","docAbstract":"Natural dust is often associated with hot, subtropical deserts, but significant dust events have been reported from cold, high latitudes. This review synthesizes current understanding of high-latitude (≥50°N and ≥40°S) dust source geography and dynamics and provides a prospectus for future research on the topic. Although the fundamental processes controlling aeolian dust emissions in high latitudes are essentially the same as in temperate regions, there are additional processes specific to or enhanced in cold regions. These include low temperatures, humidity, strong winds, permafrost and niveo-aeolian processes all of which can affect the efficiency of dust emission and distribution of sediments. Dust deposition at high latitudes can provide nutrients to the marine system, specifically by contributing iron to high-nutrient, low-chlorophyll oceans; it also affects ice albedo and melt rates. There have been no attempts to quantify systematically the expanse, characteristics, or dynamics of high-latitude dust sources. To address this, we identify and compare the main sources and drivers of dust emissions in the Northern (Alaska, Canada, Greenland, and Iceland) and Southern (Antarctica, New Zealand, and Patagonia) Hemispheres. The scarcity of year-round observations and limitations of satellite remote sensing data at high latitudes are discussed. It is estimated that under contemporary conditions high-latitude sources cover >500,000 km2 and contribute at least 80–100 Tg yr−1 of dust to the Earth system (~5% of the global dust budget); both are projected to increase under future climate change scenarios.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016RG000518","usgsCitation":"Bullard, J.E., Baddock, M., Bradwell, T., Crusius, J., Darlington, E., Gaiero, D., Gasso, S., Gisladottir, G., Hodgkins, R., McCulloch, R., NcKenna Neuman, C., Mockford, T., Stewart, H., and Thorsteinsson, T., 2016, High-latitude dust in the Earth system: Reviews of Geophysics, v. 54, no. 2, p. 447-485, https://doi.org/10.1002/2016RG000518.","productDescription":"13 p.","startPage":"447","endPage":"485","ipdsId":"IP-073865","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":470302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016rg000518","text":"Publisher Index Page"},{"id":345726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-04","publicationStatus":"PW","scienceBaseUri":"59bb952ee4b091459a578180","contributors":{"authors":[{"text":"Bullard, Joanna E","contributorId":196439,"corporation":false,"usgs":false,"family":"Bullard","given":"Joanna","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":710355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baddock, Matthew","contributorId":196440,"corporation":false,"usgs":false,"family":"Baddock","given":"Matthew","affiliations":[],"preferred":false,"id":710356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradwell, Tom","contributorId":196441,"corporation":false,"usgs":false,"family":"Bradwell","given":"Tom","email":"","affiliations":[],"preferred":false,"id":710357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":710354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Darlington, Eleanor","contributorId":196442,"corporation":false,"usgs":false,"family":"Darlington","given":"Eleanor","email":"","affiliations":[],"preferred":false,"id":710358,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaiero, Diego","contributorId":196443,"corporation":false,"usgs":false,"family":"Gaiero","given":"Diego","email":"","affiliations":[],"preferred":false,"id":710359,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gasso, Santiago","contributorId":196444,"corporation":false,"usgs":false,"family":"Gasso","given":"Santiago","email":"","affiliations":[],"preferred":false,"id":710360,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gisladottir, Gudrun","contributorId":196445,"corporation":false,"usgs":false,"family":"Gisladottir","given":"Gudrun","email":"","affiliations":[],"preferred":false,"id":710361,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hodgkins, Richard","contributorId":196446,"corporation":false,"usgs":false,"family":"Hodgkins","given":"Richard","email":"","affiliations":[],"preferred":false,"id":710362,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCulloch, Robert","contributorId":196447,"corporation":false,"usgs":false,"family":"McCulloch","given":"Robert","email":"","affiliations":[],"preferred":false,"id":710363,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"NcKenna Neuman, Cheryl","contributorId":196448,"corporation":false,"usgs":false,"family":"NcKenna Neuman","given":"Cheryl","email":"","affiliations":[],"preferred":false,"id":710364,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mockford, Tom","contributorId":196449,"corporation":false,"usgs":false,"family":"Mockford","given":"Tom","email":"","affiliations":[],"preferred":false,"id":710365,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stewart, Helena","contributorId":196450,"corporation":false,"usgs":false,"family":"Stewart","given":"Helena","email":"","affiliations":[],"preferred":false,"id":710366,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thorsteinsson, Throstur","contributorId":196451,"corporation":false,"usgs":false,"family":"Thorsteinsson","given":"Throstur","email":"","affiliations":[],"preferred":false,"id":710367,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70193304,"text":"70193304 - 2016 - A special issue devoted to proterozoic iron oxide-apatite (±REE) and iron oxide copper-gold and affiliated deposits of Southeast Missouri, USA, and the Great Bear Magmatic Zone, Northwest Territories, Canada: Preface","interactions":[],"lastModifiedDate":"2017-11-28T12:43:14","indexId":"70193304","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"A special issue devoted to proterozoic iron oxide-apatite (±REE) and iron oxide copper-gold and affiliated deposits of Southeast Missouri, USA, and the Great Bear Magmatic Zone, Northwest Territories, Canada: Preface","docAbstract":"No abstract available.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.1803","usgsCitation":"Slack, J.F., Corriveau, L., and Hitzman, M., 2016, A special issue devoted to proterozoic iron oxide-apatite (±REE) and iron oxide copper-gold and affiliated deposits of Southeast Missouri, USA, and the Great Bear Magmatic Zone, Northwest Territories, Canada: Preface: Economic Geology, v. 111, no. 8, p. 1803-1814, https://doi.org/10.2113/econgeo.111.8.1803.","productDescription":"12 p.","startPage":"1803","endPage":"1814","ipdsId":"IP-079115","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Missouri, Northwest Territories","volume":"111","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-16","publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e1c","contributors":{"authors":[{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":718608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corriveau, L.","contributorId":199311,"corporation":false,"usgs":false,"family":"Corriveau","given":"L.","affiliations":[],"preferred":false,"id":718609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitzman, M.W.","contributorId":199312,"corporation":false,"usgs":false,"family":"Hitzman","given":"M.W.","affiliations":[],"preferred":false,"id":718610,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193679,"text":"70193679 - 2016 - The future of animal reintroduction","interactions":[],"lastModifiedDate":"2017-11-30T10:19:00","indexId":"70193679","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The future of animal reintroduction","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reintroduction of fish and wildlife populations","language":"English","publisher":"University of California Press","isbn":"9780520284616","usgsCitation":"Jachowski, D.S., Slotow, R., Angermeier, P.L., and Millspaugh, J.J., 2016, The future of animal reintroduction, chap. of Reintroduction of fish and wildlife populations, p. 367-380.","productDescription":"14 p.","startPage":"367","endPage":"380","ipdsId":"IP-071191","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":349553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349552,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520284616"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e14","contributors":{"authors":[{"text":"Jachowski, David S.","contributorId":82966,"corporation":false,"usgs":true,"family":"Jachowski","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slotow, Rob","contributorId":174198,"corporation":false,"usgs":false,"family":"Slotow","given":"Rob","email":"","affiliations":[],"preferred":false,"id":724056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Millspaugh, Joshua J.","contributorId":22082,"corporation":false,"usgs":true,"family":"Millspaugh","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724057,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70181791,"text":"70181791 - 2016 - Lithobates sylvaticus (wood frog)","interactions":[],"lastModifiedDate":"2017-06-29T11:50:44","indexId":"70181791","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5443,"text":"Collinsorum","active":true,"publicationSubtype":{"id":10}},"title":"Lithobates sylvaticus (wood frog)","docAbstract":"A single specimen found southwest of Hattiesburg in Timberton (31.270391oN, 89.327675oW; WGS 84). 23 July 2015. Gary, Kat, and Ron Lukens. Verifi ed by Kenneth Krysko, Florida Museum of Natural History (UF-Herpetology 176455).\r\nThis species has never been recorded from the state of Mississippi before (Dodd 2013. Frogs of the United States and Canada – Volume 2. John Hopkins University Press, Baltimore, Maryland. 982 pp.). According to Dodd (2013),\r\nthe closest population is located in east central Alabama, approximately 400 km to the northeast, as documented by Davis and Folkerts (1986. Brimleyana 12:29-50).","language":"English","publisher":"Kansas Herpetological Society","usgsCitation":"Fuller, P., 2016, Lithobates sylvaticus (wood frog): Collinsorum, v. 5, no. 4, p. 17-17.","productDescription":"1 p.","startPage":"17","endPage":"17","ipdsId":"IP-067478","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":335332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335326,"type":{"id":15,"text":"Index Page"},"url":"https://www.cnah.org/khs/khs_pubs/Collinsorum_5_4.pdf"}],"country":"United States","state":"Mississippi","county":"Forrest County","city":"Timberton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.35129165649414,\n 31.251038543971333\n ],\n [\n -89.3020248413086,\n 31.251038543971333\n ],\n [\n -89.3020248413086,\n 31.285152620835348\n ],\n [\n -89.35129165649414,\n 31.285152620835348\n ],\n [\n -89.35129165649414,\n 31.251038543971333\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a4252ee4b0c825128ad3fc","contributors":{"authors":[{"text":"Fuller, Pam 0000-0002-9389-9144 pfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":167676,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam","email":"pfuller@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":668569,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70182766,"text":"70182766 - 2016 - Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA","interactions":[],"lastModifiedDate":"2019-02-01T15:58:49","indexId":"70182766","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA","docAbstract":"This paper provides an overview on the genesis of Mesoproterozoic igneous rocks and associated iron oxide ± apatite (IOA) ± rare earth element, iron oxide-copper-gold (IOCG), and iron-rich sedimentary deposits in the St. Francois Mountains terrane of southeast Missouri, USA. The St. Francois Mountains terrane lies along the southeastern margin of Laurentia as part of the eastern granite-rhyolite province. The province formed during two major pulses of igneous activity: (1) an older early Mesoproterozoic (ca. 1.50–1.44 Ga) episode of volcanism and granite plutonism, and (2) a younger middle Mesoproterozoic (ca. 1.33–1.30 Ga) episode of bimodal gabbro and granite plutonism. The volcanic rocks are predominantly high-silica rhyolite pyroclastic flows, volcanogenic breccias, and associated volcanogenic sediments with lesser amounts of basaltic to andesitic volcanic and associated subvolcanic intrusive rocks. The iron oxide deposits are all hosted in the early Mesoproterozoic volcanic and volcaniclastic sequences. Previous studies have characterized the St. Francois Mountains terrane as a classic, A-type within-plate granitic terrane. However, our new whole-rock geochemical data indicate that the felsic volcanic rocks are effusive derivatives from multicomponent source types, having compositional similarities to A-type within-plate granites as well as to S- and I-type granites generated in an arc setting. In addition, the volcanic-hosted IOA and IOCG deposits occur within bimodal volcanic sequences, some of which have volcanic arc geochemical affinities, suggesting an extensional tectonic setting during volcanism prior to emplacement of the ore-forming systems.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.1825","usgsCitation":"Day, W.C., Slack, J.F., Ayuso, R.A., and Seeger, C.M., 2016, Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA: Economic Geology, v. 111, no. 8, p. 1825-1858, https://doi.org/10.2113/econgeo.111.8.1825.","productDescription":"34 p. 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2016 - U.S. Geological Survey assessment of global potash production and resources—A significant advancement for global development and a sustainable future.","interactions":[],"lastModifiedDate":"2017-04-26T11:20:04","indexId":"70160599","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"U.S. Geological Survey assessment of global potash production and resources—A significant advancement for global development and a sustainable future.","docAbstract":"During the past 15 yr, the global requirement for fertilizers has grown considerably, mainly due to demand by a larger and wealthier world population for more and higher-quality food. The demand and price for potash as a primary fertilizer ingredient have increased in tandem, because of the necessity to increase the quantity and quality of food production on the decreasing amount of available arable land. The primary sources of potash are evaporates, which occur mainly in marine salt basins and a few brine-bearing continental basins. World potash resources are large, but distribution is inequitable and not presently developed in countries where population and food requirements are large and increasing. There is no known substitute for potash in fertilizer, so knowledge of the world’s potash resources is critical for a sustainable future. The U.S. Geological Survey recently completed a global assessment of evaporite-hosted potash resources, which included a geographic information system–based inventory of known potash resources. This assessment included permissive areas or tracts for undiscovered resources at a scale of 1:1,000,000. Assessments of undiscovered potash resources were conducted for a number of the world’s evaporite-hosted potash basins. The data collected provide a major advance in our knowledge of global potash resources that did not exist prior to this study. The two databases include: (1) potash deposits and occurrences, and (2) potash tracts (basins that contain these deposits and occurrences and potentially undiscovered potash deposits). Data available include geology, mineralogy, grade, tonnage, depth, thickness, areal extent, and structure, as well as numerous pertinent references.","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.2520(10)","usgsCitation":"Cocker, M.D., Orris, G.J., and Wynn, J., 2016, U.S. Geological Survey assessment of global potash production and resources—A significant advancement for global development and a sustainable future.: GSA Special Papers, v. 520, 10 p., https://doi.org/10.1130/2016.2520(10).","productDescription":"10 p.","ipdsId":"IP-062993","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":340443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"520","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bae4b0c2e071a99b98","contributors":{"authors":[{"text":"Cocker, Mark D. 0000-0001-9435-5862 mcocker@usgs.gov","orcid":"https://orcid.org/0000-0001-9435-5862","contributorId":4297,"corporation":false,"usgs":true,"family":"Cocker","given":"Mark","email":"mcocker@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":583237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orris, Greta J. 0000-0002-2340-9955 greta@usgs.gov","orcid":"https://orcid.org/0000-0002-2340-9955","contributorId":3472,"corporation":false,"usgs":true,"family":"Orris","given":"Greta","email":"greta@usgs.gov","middleInitial":"J.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":583238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wynn, Jeff 0000-0002-8102-3882 jwynn@usgs.gov","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":2803,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","email":"jwynn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":583239,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173826,"text":"70173826 - 2016 - Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi","interactions":[],"lastModifiedDate":"2017-11-08T17:24:55","indexId":"70173826","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi","docAbstract":"Transmissivity is a bulk hydraulic property that can be correlated with bulk electrical properties of an aquifer. In aquifers that are electrically-resistive relative to adjacent layers in a horizontally stratified sequence, transmissivity has been shown to correlate with bulk transverse resistance. Conversely, in aquifers that are electrically-conductive relative to adjacent layers, transmissivity has been shown to correlate with bulk longitudinal conductance. In both cases, previous investigations have relied on small datasets (on average less than eight observations) that have yielded coefficients of determination (R2) that are typically in the range of 0.6 to 0.7 to substantiate these relations. Compared to previous investigations, this paper explores hydraulic-electrical relations using a much larger dataset. Geophysical data collected from 26 boreholes in Emirate Abu Dhabi, United Arab Emirates, are used to correlate transmissivity modeled from neutron porosity logs to the bulk electrical properties of the surficial aquifer that are computed from deep-induction logs. Transmissivity is found to be highly correlated with longitudinal conductance. An R2 value of 0.853 is obtained when electrical effects caused by variations in pore-fluid salinity are taken into consideration.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016","conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems","conferenceDate":"March 20-24, 2016","conferenceLocation":"Denver, CO","language":"English","publisher":"Society of Exploration Geophysicists and Environment and Engineering Geophysical Society","doi":"10.4133/SAGEEP.29-060","issn":"1554-8015","usgsCitation":"Ikard, S., and Kress, W.H., 2016, Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi, in Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016, Denver, CO, March 20-24, 2016, p. 340-353, https://doi.org/10.4133/SAGEEP.29-060.","productDescription":"14 p.","startPage":"340","endPage":"353","ipdsId":"IP-070679","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":348522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bde4b0dc0b45b453d0","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935 sikard@usgs.gov","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":171751,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","email":"sikard@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kress, Wade H. 0000-0002-6833-028X wkress@usgs.gov","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":1576,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"wkress@usgs.gov","middleInitial":"H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638522,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70179021,"text":"sir20165171 - 2016 - Hydrogeologic framework and characterization of the Truxton Aquifer on the Hualapai Reservation, Mohave County, Arizona","interactions":[],"lastModifiedDate":"2020-04-07T16:45:31.293325","indexId":"sir20165171","displayToPublicDate":"2016-12-30T20:00:00","publicationYear":"2016","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":"2016-5171","title":"Hydrogeologic framework and characterization of the Truxton Aquifer on the Hualapai Reservation, Mohave County, Arizona","docAbstract":"The U.S. Geological Survey, in cooperation with the Bureau of Reclamation, developed this study to determine an estimate of groundwater in storage in the Truxton aquifer on the Hualapai Reservation in northwestern Arizona. For this study, the Truxton aquifer is defined as the unconfined, saturated groundwater in the unconsolidated to semiconsolidated older and younger basin-fill deposits of the Truxton basin overlying bedrock. The physical characteristics of the Truxton aquifer have not been well characterized in the past. In particular, the depth to impermeable granite bedrock and thickness of the basin are known in only a few locations where water wells have penetrated into the granite. Increasing water demands on the Truxton aquifer by both tribal and nontribal water users have led to concern about the long-term sustainability of this water resource. The Hualapai Tribe currently projects an increase of their water needs from about 300 acre-feet (acre-ft) per year to about 780 acre-ft per year by 2050 to support the community of Peach Springs, Arizona, and the southern part of the reservation. This study aimed to quantitatively develop better knowledge of aquifer characteristics, including aquifer storage and capacity, using (1) surface resistivity data collected along transects and (2) analysis of existing geologic, borehole, precipitation, water use, and water-level data.
The surface resistivity surveys indicated that the depth to granite along the survey lines varied from less than 100 feet (ft) to more than 1,300 ft below land surface on the Hualapai Reservation. The top of the granite bedrock is consistent with the erosional character of the Truxton basin and exhibits deep paleochannels filled with basin-fill deposits consistent with the results of surface resistivity surveys and borehole logs from wells. The estimated average saturated thickness of the Truxton aquifer on the Hualapai Reservation is about 330 ft (with an estimated range of 260 to 390 ft), based on both resistivity results and the depth to water in wells. The saturated thickness might be greater in parts of the Truxton aquifer where paleochannels are incised into the granite underlying the basin-fill sediments. The estimated groundwater storage of the Truxton aquifer on the Hualapai Reservation ranges from 420,000 to 940,000 acre-ft and does not include groundwater storage in the aquifer outside the Hualapai Reservation boundary. In addition, the calculation of total storage in the Truxton aquifer does not determine nor indicate the availability and sustainability of that groundwater as a long-term resource. These results compared well with studies done on alluvial-basin aquifers in areas adjacent to this study. The part of the Truxton aquifer on the Hualapai Reservation represents about 20 percent of the entire aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165171","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Bills, D.J., and Macy, J.P., 2016, Hydrologic framework and characterization of the Truxton aquifer on the Hualapai Reservation, Mohave County, Arizona (ver. 2.0, December 2017): U.S. Geological Survey Scientific Investigations Report 2016–5171, 50 p., https://doi.org/10.3133/sir20165171.","productDescription":"vi, 50 p.","numberOfPages":"57","onlineOnly":"Y","ipdsId":"IP-074915","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":373792,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205017","text":"Scientific Investigations Report 2020-5017","linkHelpText":" - Geophysical Surveys, Hydrogeologic Characterization, and Groundwater Flow Model for the Truxton Basin and Hualapai Plateau, Northwestern Arizona"},{"id":373791,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205025","text":"Scientific Investigations Report 2020-5025","linkHelpText":" - Hydrogeologic Characterization of the Hualapai Plateau on the Western Hualapai Indian Reservation, Northwestern Arizona"},{"id":332711,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5171/coverthb_.jpg"},{"id":332712,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5171/sir20165171v2.pdf","text":"Report","size":"7.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5171 Report PDF"},{"id":349915,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2016/5171/versionHist.txt","text":"Version History","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2016-5171 Version History"}],"country":"United States","state":"Arizona","county":"Mojave County","otherGeospatial":"Hualapai Reservation, Truxton Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.994384765625,\n 35.55457449014312\n ],\n [\n -112.994384765625,\n 36.05798104702501\n ],\n [\n -112.2308349609375,\n 36.05798104702501\n ],\n [\n -112.2308349609375,\n 35.55457449014312\n ],\n [\n -112.994384765625,\n 35.55457449014312\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted December 30, 2016; Version 2.0: December 14, 2017","contact":"Director,
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In 2010, an international group of 35 sea turtle researchers refined an initial list of more than 200 research questions into 20 metaquestions that were considered key for management and conservation of sea turtles. These were classified under 5 categories: reproductive biology, biogeography, population ecology, threats and conservation strategies. To obtain a picture of how research is being focused towards these key questions, we undertook a systematic review of the peer-reviewed literature (2014 and 2015) attributing papers to the original 20 questions. In total, we reviewed 605 articles in full and from these 355 (59%) were judged to substantively address the 20 key questions, with others focusing on basic science and monitoring. Progress to answering the 20 questions was not uniform, and there were biases regarding focal turtle species, geographic scope and publication outlet. Whilst it offers some meaningful indications as to effort, quantifying peer-reviewed literature output is obviously not the only, and possibly not the best, metric for understanding progress towards informing key conservation and management goals. Along with the literature review, an international group based on the original project consortium was assigned to critically summarise recent progress towards answering each of the 20 questions. We found that significant research is being expended towards global priorities for management and conservation of sea turtles. Although highly variable, there has been significant progress in all the key questions identified in 2010. Undertaking this critical review has highlighted that it may be timely to undertake one or more new prioritizing exercises. For this to have maximal benefit we make a range of recommendations for its execution. These include a far greater engagement with social sciences, widening the pool of contributors and focussing the questions, perhaps disaggregating ecology and conservation.
","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00801","usgsCitation":"Rees, A., Alfaro-Shigueto, J., Barata, P., Bjorndal, K., Bolten, A., Bourjea, J., Broderick, A., Campbell, L., Cardona, L., Carreras, C., Casale, P., Ceriani, S., Dutton, P., Eguchi, T., Formia, A., Fuentes, M., Fuller, W., Girondot, M., Godfrey, M., Hamann, M., Hart, K.M., Hays, G., Hochscheid, S., Kaska, Y., Jensen, M., Mangel, J., Mortimer, J., Naro-Maciel, E., Ng, C., Nichols, W., Phillott, A., Reina, R., Revuelta, O., Schofield, G., Seminoff, J., Shanker, K., Tomas, J., de Merwe, V., Van Houtan, K., Vander Zanden, H., Wallace, B., Wedemeyer-Strombel, K., Work, T.M., and Godley, B., 2016, Are we working towards global research priorities for management and conservation of sea turtles?: Endangered Species Research, v. 31, p. 337-382, https://doi.org/10.3354/esr00801.","productDescription":"46 p.","startPage":"337","endPage":"382","ipdsId":"IP-082591","costCenters":[{"id":456,"text":"National 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provide and for informing approaches to riparian ecosystem restoration. We examined the downstream effects of two large dams on patterns of forest composition, structure, and dynamics within different geomorphic contexts and compared them to upstream reference conditions along the Elwha River, Washington, USA. Patterns of riparian vegetation in river segments downstream of the dams were driven largely by channel and bottomland geomorphic responses to a dramatically reduced sediment supply. The river segment upstream of both dams was the most geomorphically dynamic, whereas the segment between the dams was the least dynamic due to substantial channel armoring, and the segment downstream of both dams was intermediate due to some local sediment supply. These geomorphic differences were linked to altered characteristics of the shifting habitat mosaic, including older forest age structure and fewer young Populus balsamifera subsp. trichocarpa stands in the relatively static segment between the dams compared to more extensive early-successional forests (dominated by Alnus rubra and Salix spp.) and pioneer seedling recruitment upstream of the dams. Species composition of later-successional forest communities varied among river segments as well, with greater Pseudotsuga menziesii and Tsuga heterophylla abundance upstream of both dams, Acer spp. abundance between the dams, and P. balsamifera subsp. trichocarpa and Thuja plicata abundance below both dams. Riparian forest responses to the recent removal of the two dams on the Elwha River will depend largely on channel and geomorphic adjustments to the release, transport, and deposition of the large volume of sediment formerly stored in the reservoirs, together with changes in large wood dynamics.
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Because physical processes in coastal environments are controlled by the geomorphology of over-the-land topography and underwater bathymetry, many applications of geospatial data in coastal environments require detailed knowledge of the near-shore topography and bathymetry. In this paper, an updated methodology used by the U.S. Geological Survey Coastal National Elevation Database (CoNED) Applications Project is presented for developing coastal topobathymetric elevation models (TBDEMs) from multiple topographic data sources with adjacent intertidal topobathymetric and offshore bathymetric sources to generate\r\nseamlessly integrated TBDEMs. This repeatable, updatable, and logically consistent methodology assimilates topographic data (land elevation) and bathymetry (water depth) into a seamless coastal elevation model. Within the overarching framework, vertical datum transformations are standardized in a workflow that interweaves spatially consistent interpolation (gridding) techniques with a land/water boundary mask delineation approach. Output gridded raster TBDEMs are stacked into a file storage system of mosaic datasets within an Esri ArcGIS geodatabase for\r\nefficient updating while maintaining current and updated spatially referenced metadata. Topobathymetric data provide a required seamless elevation product for several science application studies, such as shoreline delineation, coastal inundation mapping, sediment-transport, sea-level rise, storm surge models, and tsunami impact assessment. These detailed coastal elevation data are critical to depict regions prone to climate change impacts and are essential to planners and managers responsible for mitigating the associated risks and costs to both human communities and ecosystems. The CoNED methodology approach has been used to construct integrated TBDEM models in Mobile Bay, the northern Gulf of Mexico, San Francisco Bay, the Hurricane Sandy region, and southern California.","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI76-008","usgsCitation":"Danielson, J.J., Poppenga, S.K., Brock, J., Evans, G.A., Tyler, D.J., Gesch, D.B., Thatcher, C.A., and Barras, J., 2016, Topobathymetric elevation model development using a new methodology: Coastal National Elevation Database: Journal of Coastal Research, v. Special Issue 76, p. 75-89, https://doi.org/10.2112/SI76-008.","productDescription":"15 p.","startPage":"75","endPage":"89","ipdsId":"IP-067362","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470304,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.2112/SI76-008","text":"External Repository"},{"id":438478,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N4WLC8","text":"USGS data release","linkHelpText":"Southeast Texas Pilot National Topography Model (NTM), 1933 to 2021"},{"id":438477,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R8UZU6","text":"USGS data release","linkHelpText":"Topobathymetric Model of Puʻuhonua o Hōnaunau National Historical Park, 2011 to 2019"},{"id":438476,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J11VV6","text":"USGS 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(EDIT)","interactions":[],"lastModifiedDate":"2017-01-03T13:48:05","indexId":"70179458","displayToPublicDate":"2016-12-30T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Improving the effectiveness of ecological site descriptions: General state-and-transition models and the Ecosystem Dynamics Interpretive Tool (EDIT)","docAbstract":"