{"pageNumber":"991","pageRowStart":"24750","pageSize":"25","recordCount":184717,"records":[{"id":70187495,"text":"70187495 - 2017 - Oil and gas development influences big-game hunting in Wyoming","interactions":[],"lastModifiedDate":"2017-05-05T11:05:27","indexId":"70187495","displayToPublicDate":"2017-05-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Oil and gas development influences big-game hunting in Wyoming","docAbstract":"<p><span>Development from extracting oil and gas resources can have unintended effects on multiple ecosystem functions, with cascading effects on wildlife, ecosystem services, and local economies. Big-game hunting opportunities may be closely related to these effects, but empirical analyses of impacts of energy development on hunting are limited. We examined the influence of oil and gas development density on harvest efficiency, or harvest per unit of hunter effort, within all hunt areas in Wyoming, USA, from 2008 to 2014 for 3 big-game species: elk (</span><i>Cervus canadensis</i><span>), mule deer (</span><i>Odocoileus hemionus</i><span>), and pronghorn (</span><i>Antilocapra americana</i><span>). Using harvest/hunter day as the response variable, we compared linear mixed-effects models for each species that included total well density (i.e., all wells constructed up to the year of record), active well density (i.e., only those wells currently producing oil or gas in that year), or neither as a predictor variable. We used well densities as indicators of development in the absence of data specifying the locations of other oil and gas infrastructure (e.g., roads, well pads). Models also accounted for the fixed effects of road density, hunter density, proportion of the area that is public land with unrestricted hunter access, proportion of the area that is forested, year of observation, and random effects of variation among hunt areas nested within associated game herd units. Presence of oil and gas wells had a positive influence on harvest efficiency for elk and mule deer. Although there was no overall effect to pronghorn, there was a negative influence of wells on juvenile pronghorn harvest efficiency. Changes in harvest efficiency due to expanding oil and gas development could alter the time spent hunting by hunters and their chances of harvesting an animal. This could have subsequent impacts on hunter satisfaction, game populations, and economic revenue generated from recreational hunters.</span></p>","language":"English","publisher":"The Wildlife Society","publisherLocation":"Hoboken, NJ","doi":"10.1002/jwmg.21205","usgsCitation":"Dorning, M., Garman, S.L., Diffendorfer, J., Semmens, D.J., Hawbaker, T., and Bagstad, K.J., 2017, Oil and gas development influences big-game hunting in Wyoming: Journal of Wildlife Management, v. 81, no. 3, p. 379-392, https://doi.org/10.1002/jwmg.21205.","productDescription":"14 p.","startPage":"379","endPage":"392","ipdsId":"IP-075405","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"81","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-18","publicationStatus":"PW","scienceBaseUri":"590d8f30e4b0e541a03a8352","contributors":{"authors":[{"text":"Dorning, Monica 0000-0002-7576-1256 mdorning@usgs.gov","orcid":"https://orcid.org/0000-0002-7576-1256","contributorId":191772,"corporation":false,"usgs":true,"family":"Dorning","given":"Monica","email":"mdorning@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":694187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":694188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":694189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":694190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":694191,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":694192,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187494,"text":"70187494 - 2017 - Using strain rates to forecast seismic hazards","interactions":[],"lastModifiedDate":"2017-05-05T11:33:06","indexId":"70187494","displayToPublicDate":"2017-05-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Using strain rates to forecast seismic hazards","docAbstract":"<p><span>One essential component in forecasting seismic hazards is observing the gradual accumulation of tectonic strain accumulation along faults before this strain is suddenly released as earthquakes. Typically, seismic hazard models are based on geologic estimates of slip rates along faults and historical records of seismic activity, neither of which records actively accumulating strain. But this strain can be estimated by geodesy: the precise measurement of tiny position changes of Earth’s surface, obtained from </span><a href=\"https://eos.org/project-updates/keeping-watch-over-colombias-slumbering-volcanoes\" target=\"_blank\" data-mce-href=\"https://eos.org/project-updates/keeping-watch-over-colombias-slumbering-volcanoes\">GPS</a><span>, interferometric synthetic aperture radar (</span><a href=\"https://eos.org/project-updates/earthquake-monitoring-gets-boost-new-satellite\" target=\"_blank\" data-mce-href=\"https://eos.org/project-updates/earthquake-monitoring-gets-boost-new-satellite\">InSAR</a><span>), or a variety of other instruments.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2017EO067343","usgsCitation":"Evans, E., 2017, Using strain rates to forecast seismic hazards: Eos, Earth and Space Science News, v. 98, HTML Document, https://doi.org/10.1029/2017EO067343.","productDescription":"HTML Document","ipdsId":"IP-080754","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017eo067343","text":"Publisher Index Page"},{"id":340856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590d8f30e4b0e541a03a8354","contributors":{"authors":[{"text":"Evans, Eileen 0000-0002-7290-5269 eevans@usgs.gov","orcid":"https://orcid.org/0000-0002-7290-5269","contributorId":167021,"corporation":false,"usgs":true,"family":"Evans","given":"Eileen","email":"eevans@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":694186,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189766,"text":"70189766 - 2017 - Conservation challenges and research needs for Pacific lamprey in the Columbia River Basin","interactions":[],"lastModifiedDate":"2018-02-28T14:30:23","indexId":"70189766","displayToPublicDate":"2017-05-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Conservation challenges and research needs for Pacific lamprey in the Columbia River Basin","docAbstract":"<p><span>The Pacific Lamprey&nbsp;</span><i>Entosphenus tridentatus</i><span>, an anadromous fish native to the northern Pacific Ocean and bordering freshwater habitats, has recently experienced steep declines in abundance and range contractions along the West Coast of North America. During the early 1990s, Native American tribes recognized the declining numbers of lamprey and championed their importance. In 2012, 26 entities signed a conservation agreement to coordinate and implement restoration and research for Pacific Lamprey. Regional plans have identified numerous threats, monitoring needs, and strategies to conserve and restore Pacific Lamprey during their freshwater life stages. Prime among these are needs to improve lamprey passage, restore freshwater habitats, educate stakeholders, and implement lamprey-specific research and management protocols. Key unknowns include range-wide trends in status, population dynamics, population delineation, limiting factors, and marine influences. We synthesize these key unknowns, with a focus on the freshwater life stages of lamprey in the Columbia River basin.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2017.1305857","usgsCitation":"Clemens, B.J., Beamish, R.J., Coates, K.C., Docker, M.F., Dunham, J.B., Gray, A.E., Hess, J.E., Jolley, J.C., Lampman, R., McIlraith, B.J., Moser, M.L., Murauskas, J.G., Noakes, D.L., Schaller, H.A., Schreck, C.B., Starcevich, S.J., Streif, B., van de Wetering, S.J., Wade, J., Weitkamp, L.A., and Wyss, L.A., 2017, Conservation challenges and research needs for Pacific lamprey in the Columbia River Basin: Fisheries, v. 42, no. 5, p. 268-280, https://doi.org/10.1080/03632415.2017.1305857.","productDescription":"14 p. ","startPage":"268","endPage":"280","ipdsId":"IP-067385","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":344255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Idaho, Montana, Nevada, Oregon, Saskatchewan, Washington, Wyoming","otherGeospatial":"Columbia River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.48779296875,\n              40.94671366508002\n            ],\n            [\n              -117.0703125,\n              40.88029480552824\n            ],\n            [\n              -116.4111328125,\n              40.713955826286046\n            ],\n            [\n      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,{"id":70187508,"text":"70187508 - 2017 - Biogeographic comparison of <i>Lophelia</i>-associated bacterial communities in the Western Atlantic reveals conserved core microbiome","interactions":[],"lastModifiedDate":"2017-05-05T10:02:10","indexId":"70187508","displayToPublicDate":"2017-05-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Biogeographic comparison of <i>Lophelia</i>-associated bacterial communities in the Western Atlantic reveals conserved core microbiome","docAbstract":"<p><span>Over the last decade, publications on deep-sea corals have tripled. Most attention has been paid to </span><i>Lophelia pertusa</i><span>, a globally distributed scleractinian coral that creates critical three-dimensional habitat in the deep ocean. The bacterial community associated with </span><i>L. pertusa</i><span> has been previously described by a number of studies at sites in the Mediterranean Sea, Norwegian fjords, off Great Britain, and in the Gulf of Mexico (GOM). However, use of different methodologies prevents direct comparisons in most cases. Our objectives were to address intra-regional variation and to identify any conserved bacterial core community. We collected samples from three distinct colonies of </span><i>L. pertusa</i><span> at each of four locations within the western Atlantic: three sites within the GOM and one off the east coast of the United States. Amplicon libraries of 16S rRNA genes were generated using primers targeting the V4–V5 hypervariable region and 454 pyrosequencing. The dominant phylum was Proteobacteria (75–96%). At the family level, 80–95% of each sample was comprised of five groups: Pirellulaceae, Pseudonocardiaceae, Rhodobacteraceae, Sphingomonadaceae, and unclassified Oceanospirillales. Principal coordinate analysis based on weighted UniFrac distances showed a clear distinction between the GOM and Atlantic samples. Interestingly, the replicate samples from each location did not always cluster together, indicating there is not a strong site-specific influence. The core bacterial community, conserved in 100% of the samples, was dominated by the operational taxonomic units of genera </span><i>Novosphingobium</i><span> and </span><i>Pseudonocardia</i><span>, both known degraders of aromatic hydrocarbons. The sequence of another core member, </span><i>Propionibacterium</i><span>, was also found in prior studies of </span><i>L. pertusa</i><span> from Norway and Great Britain, suggesting a role as a conserved symbiont. By examining more than 40,000 sequences per sample, we found that GOM samples were dominated by the identified conserved core sequences, whereas open Atlantic samples had a much higher proportion of locally consistent bacteria. Further, predictive functional profiling highlights the potential for the </span><i>L. pertusa</i><span> microbiome to contribute to chemoautotrophy, nutrient cycling, and antibiotic production.</span></p>","language":"English","publisher":"Frontiers Research Foundation","publisherLocation":"Lausanne","doi":"10.3389/fmicb.2017.00796","usgsCitation":"Kellogg, C.A., Goldsmith, D.B., and Gray, M.A., 2017, Biogeographic comparison of <i>Lophelia</i>-associated bacterial communities in the Western Atlantic reveals conserved core microbiome: Frontiers in Microbiology, v. 8, Article 796: 15 p., https://doi.org/10.3389/fmicb.2017.00796.","productDescription":"Article 796: 15 p.","ipdsId":"IP-083194","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469869,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2017.00796","text":"Publisher Index Page"},{"id":340853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89,\n              24\n            ],\n            [\n              -79,\n              24\n            ],\n            [\n              -79,\n              31\n            ],\n            [\n              -89,\n              31\n            ],\n            [\n              -89,\n              24\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"590d8f2fe4b0e541a03a834e","contributors":{"authors":[{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":694256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldsmith, Dawn B. 0000-0003-0080-5346 dgoldsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0080-5346","contributorId":191764,"corporation":false,"usgs":true,"family":"Goldsmith","given":"Dawn","email":"dgoldsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":694257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Michael A. 0000-0002-3856-5037 mgray@usgs.gov","orcid":"https://orcid.org/0000-0002-3856-5037","contributorId":3532,"corporation":false,"usgs":true,"family":"Gray","given":"Michael","email":"mgray@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":694258,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187523,"text":"70187523 - 2017 - The relationship between female brooding and male nestling provisioning: does climate underlie geographic variation in sex roles?","interactions":[],"lastModifiedDate":"2017-05-08T11:30:44","indexId":"70187523","displayToPublicDate":"2017-05-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"The relationship between female brooding and male nestling provisioning: does climate underlie geographic variation in sex roles?","docAbstract":"<p><span>Comparative studies of populations occupying different environments can provide insights into the ecological conditions affecting differences in parental strategies, including the relative contributions of males and females. Male and female parental strategies reflect the interplay between ecological conditions, the contributions of the social mate, and the needs of offspring. Climate is expected to underlie geographic variation in incubation and brooding behavior, and can thereby affect both the absolute and relative contributions of each sex to other aspects of parental care such as offspring provisioning. However, geographic variation in brooding behavior has received much less attention than variation in incubation attentiveness or provisioning rates. We compared parental behavior during the nestling period in populations of orange-crowned warblers </span><i>Oreothlypis celata</i><span> near the northern (64°N) and southern (33°N) boundaries of the breeding range. In Alaska, we found that males were responsible for the majority of food delivery whereas the sexes contributed equally to provisioning in California. Higher male provisioning in Alaska appeared to facilitate a higher proportion of time females spent brooding the nestlings. Surprisingly, differences in brooding between populations could not be explained by variation in ambient temperature, which was similar between populations during the nestling period. While these results represent a single population contrast, they suggest additional hypotheses for the ecological correlates and evolutionary drivers of geographic variation in brooding behavior, and the factors that shape the contributions of each sex.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jav.00890","usgsCitation":"Yoon, J., Sofaer, H., Sillett, T., Morrison, S.A., and Ghalambor, C.K., 2017, The relationship between female brooding and male nestling provisioning: does climate underlie geographic variation in sex roles?: Journal of Avian Biology, v. 48, no. 2, p. 220-228, https://doi.org/10.1111/jav.00890.","productDescription":"9 p. ","startPage":"220","endPage":"228","ipdsId":"IP-070914","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":340920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"591183b3e4b0e541a03c1a58","contributors":{"authors":[{"text":"Yoon, Jongmin","contributorId":191808,"corporation":false,"usgs":false,"family":"Yoon","given":"Jongmin","email":"","affiliations":[],"preferred":false,"id":694316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sofaer, Helen 0000-0002-9450-5223 hsofaer@usgs.gov","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":169118,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"hsofaer@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":694315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sillett, T. Scott","contributorId":80788,"corporation":false,"usgs":false,"family":"Sillett","given":"T. Scott","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":694317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Scott A.","contributorId":83780,"corporation":false,"usgs":false,"family":"Morrison","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":694318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ghalambor, Cameron K.","contributorId":93722,"corporation":false,"usgs":false,"family":"Ghalambor","given":"Cameron","email":"","middleInitial":"K.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":694319,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194505,"text":"70194505 - 2017 - In some places, in some cases, and at some times, harmful algal blooms are the greatest threat to inland water quality","interactions":[],"lastModifiedDate":"2017-11-30T13:03:35","indexId":"70194505","displayToPublicDate":"2017-05-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"In some places, in some cases, and at some times, harmful algal blooms are the greatest threat to inland water quality","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.3801","usgsCitation":"Brooks, B.W., Lazorchak, J.M., Howard, M., Johnson, M.V., Morton, S.L., Perkins, D.A., Reavie, E.D., Scott, G.L., Smith, S.A., and Steevens, J., 2017, In some places, in some cases, and at some times, harmful algal blooms are the greatest threat to inland water quality: Environmental Toxicology and Chemistry, v. 36, no. 5, p. 1125-1127, https://doi.org/10.1002/etc.3801.","productDescription":"3 p.","startPage":"1125","endPage":"1127","ipdsId":"IP-080953","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":461609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.3801","text":"Publisher Index Page"},{"id":349592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2017-05-01","publicationStatus":"PW","scienceBaseUri":"5a60fbd5e4b06e28e9c236c8","contributors":{"authors":[{"text":"Brooks, Bryan W. 0000-0002-6277-9852","orcid":"https://orcid.org/0000-0002-6277-9852","contributorId":198868,"corporation":false,"usgs":false,"family":"Brooks","given":"Bryan","email":"","middleInitial":"W.","affiliations":[{"id":35352,"text":"Department of Environmental Science, Baylor University, Waco, TX, USA","active":true,"usgs":false}],"preferred":false,"id":724144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazorchak, James M.","contributorId":14750,"corporation":false,"usgs":true,"family":"Lazorchak","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Meredith D.A.","contributorId":201037,"corporation":false,"usgs":false,"family":"Howard","given":"Meredith D.A.","affiliations":[],"preferred":false,"id":724149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Mari-Vaughn V. 0000-0002-2944-2529","orcid":"https://orcid.org/0000-0002-2944-2529","contributorId":189195,"corporation":false,"usgs":false,"family":"Johnson","given":"Mari-Vaughn","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":724146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morton, Steve L.","contributorId":201038,"corporation":false,"usgs":false,"family":"Morton","given":"Steve","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perkins, Dawn A.K.","contributorId":201039,"corporation":false,"usgs":false,"family":"Perkins","given":"Dawn","email":"","middleInitial":"A.K.","affiliations":[],"preferred":false,"id":724151,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reavie, Euan D.","contributorId":41755,"corporation":false,"usgs":true,"family":"Reavie","given":"Euan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":724147,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scott, Geoffrey L.","contributorId":201040,"corporation":false,"usgs":false,"family":"Scott","given":"Geoffrey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724152,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Stephanie A.","contributorId":201041,"corporation":false,"usgs":false,"family":"Smith","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724153,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":65415,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":724148,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70182142,"text":"sir20175010 - 2017 - Simulation of groundwater flow in the glacial aquifer system of northeastern Wisconsin with variable model complexity","interactions":[],"lastModifiedDate":"2017-05-04T15:33:55","indexId":"sir20175010","displayToPublicDate":"2017-05-04T12:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5010","title":"Simulation of groundwater flow in the glacial aquifer system of northeastern Wisconsin with variable model complexity","docAbstract":"<p>The U.S. Geological Survey, National Water-Quality Assessment seeks to map estimated intrinsic susceptibility of the glacial aquifer system of the conterminous United States. Improved understanding of the hydrogeologic characteristics that explain spatial patterns of intrinsic susceptibility, commonly inferred from estimates of groundwater age distributions, is sought so that methods used for the estimation process are properly equipped. An important step beyond identifying relevant hydrogeologic datasets, such as glacial geology maps, is to evaluate how incorporation of these resources into process-based models using differing levels of detail could affect resulting simulations of groundwater age distributions and, thus, estimates of intrinsic susceptibility.</p><p>This report describes the construction and calibration of three groundwater-flow models of northeastern Wisconsin that were developed with differing levels of complexity to provide a framework for subsequent evaluations of the effects of process-based model complexity on estimations of groundwater age distributions for withdrawal wells and streams. Preliminary assessments, which focused on the effects of model complexity on simulated water levels and base flows in the glacial aquifer system, illustrate that simulation of vertical gradients using multiple model layers improves simulated heads more in low-permeability units than in high-permeability units. Moreover, simulation of heterogeneous hydraulic conductivity fields in coarse-grained and some fine-grained glacial materials produced a larger improvement in simulated water levels in the glacial aquifer system compared with simulation of uniform hydraulic conductivity within zones. The relation between base flows and model complexity was less clear; however, the relation generally seemed to follow a similar pattern as water levels. Although increased model complexity resulted in improved calibrations, future application of the models using simulated particle tracking is anticipated to evaluate if these model design considerations are similarly important for understanding the primary modeling objective - to simulate reasonable groundwater age distributions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175010","usgsCitation":"Juckem, P.F., Clark, B.R., and Feinstein, D.T., 2017, Simulation of groundwater flow in the glacial aquifer system of northeastern Wisconsin with variable model complexity: U.S. Geological Survey Scientific Investigations Report 2017–5010, 52 p., https://doi.org/10.3133/sir20175010.","productDescription":"viii, 52 p.","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077195","costCenters":[{"id":677,"text":"Wisconsin Water Science 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 \"}}]}","publicComments":"National Water-Quality Assessment","contact":"<p><a href=\"mailto:dc_wiD@usgs.gov\" data-mce-href=\"mailto:dc_wiD@usgs.gov\">Director,</a>&nbsp;<a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\">Wisconsin Water Science Center</a><br>U.S. Geological Survey<br> 8505 Research Way<br> Middleton, WI 53562</p>","tableOfContents":"<ul><li>Foreword</li><li>Abstract</li><li>Introduction</li><li>Conceptual Model of the Groundwater System</li><li>Hydrogeologic Characteristics of the Groundwater-Flow System&nbsp;</li><li>Model Construction</li><li>Model Calibration</li><li>Limitations of the Groundwater-Flow Models&nbsp;</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2017-05-04","noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"590c3dc6e4b0e541a038dd1d","contributors":{"authors":[{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":669774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":669775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feinstein, Daniel T. 0000-0003-1151-2530 dtfeinst@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-2530","contributorId":1907,"corporation":false,"usgs":true,"family":"Feinstein","given":"Daniel","email":"dtfeinst@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":669776,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187355,"text":"ofr20171049 - 2017 - Eastern Denali Fault surface trace map, eastern Alaska and Yukon, Canada","interactions":[],"lastModifiedDate":"2023-11-03T16:52:08.991249","indexId":"ofr20171049","displayToPublicDate":"2017-05-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1049","title":"Eastern Denali Fault surface trace map, eastern Alaska and Yukon, Canada","docAbstract":"<p>We map the 385-kilometer (km) long surface trace of the right-lateral, strike-slip Denali Fault between the Totschunda-Denali Fault intersection in Alaska, United States and the village of Haines Junction, Yukon, Canada. In Alaska, digital elevation models based on light detection and ranging and interferometric synthetic aperture radar data enabled our fault mapping at scales of 1:2,000 and 1:10,000, respectively. Lacking such resources in Yukon, we developed new structure-from-motion digital photogrammetry products from legacy aerial photos to map the fault surface trace at a scale of 1:10,000 east of the international border. The section of the fault that we map, referred to as the Eastern Denali Fault, did not rupture during the 2002 Denali Fault earthquake (moment magnitude 7.9). Seismologic, geodetic, and geomorphic evidence, along with a paleoseismic record of past ground-rupturing earthquakes, demonstrate Holocene and contemporary activity on the fault, however. This map of the Eastern Denali Fault surface trace complements other data sets by providing an openly accessible digital interpretation of the location, length, and continuity of the fault’s surface trace based on the accompanying digital topography dataset. Additionally, the digitized fault trace may provide geometric constraints useful for modeling earthquake scenarios and related seismic hazard.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171049","usgsCitation":"Bender, A.M., and Haeussler, P.J., 2017, Eastern Denali Fault surface trace map, eastern Alaska and Yukon, Canada: U.S. Geological Survey Open-File Report 2017–1049, 10 p., https://doi.org/10.3133/ofr20171049.","productDescription":"iii, 10 p.","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-084514","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":438353,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7T151WC","text":"USGS data release","linkHelpText":"Eastern Denali Fault Surface Trace Map, Eastern Alaska and Adjacent Canada, 1978-2008"},{"id":422373,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_105646.htm","linkFileType":{"id":5,"text":"html"}},{"id":340824,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1049/coverthb.jpg"},{"id":340825,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1049/ofr20171049.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1049"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Denali Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -147,\n              60\n            ],\n            [\n              -135,\n              60\n            ],\n            [\n              -135,\n              64\n            ],\n            [\n              -147,\n              64\n            ],\n            [\n              -147,\n              60\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://alaska.usgs.gov/\" data-mce-href=\"http://alaska.usgs.gov/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Dr.<br>Anchorage, AK 99508<br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Purpose and Scope<br></li><li>Photogrammetry and Fault Trace Digitization Methods<br></li><li>Digitized Features<br></li><li>Accompanying Files<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-05-04","noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"590c3dc9e4b0e541a038dd25","contributors":{"authors":[{"text":"Bender, Adrian M. 0000-0001-7469-1957 abender@usgs.gov","orcid":"https://orcid.org/0000-0001-7469-1957","contributorId":4963,"corporation":false,"usgs":true,"family":"Bender","given":"Adrian","email":"abender@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":693600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","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":693601,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182588,"text":"pp1834 - 2017 - Baseline and projected future carbon storage and carbon fluxes in ecosystems of Hawai‘i","interactions":[],"lastModifiedDate":"2023-12-14T13:39:43.690272","indexId":"pp1834","displayToPublicDate":"2017-05-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1834","title":"Baseline and projected future carbon storage and carbon fluxes in ecosystems of Hawai‘i","docAbstract":"<p>This assessment was conducted to fulfill the requirements of section 712 of the Energy Independence and Security Act of 2007 and to improve understanding of factors influencing carbon balance in ecosystems of Hawai‘i. Ecosystem carbon storage, carbon fluxes, and carbon balance were examined for major terrestrial ecosystems on the seven main Hawaiian islands in two time periods: baseline (from 2007 through 2012) and future (projections from 2012 through 2061). The assessment incorporated observed data, remote sensing, statistical methods, and simulation models. The national assessment has been completed for the conterminous United States, using methodology described in SIR 2010-5233, with results provided in three regional reports (PP 1804, PP 1797, and PP 1897), and for Alaska, with results provided in PP 1826. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1834","usgsCitation":"Selmants, P.C., Giardina, C.P., Jacobi, J.D., and Zhu, Zhiliang, eds., 2017, Baseline and projected future carbon storage and carbon fluxes in ecosystems of Hawai‘i: U.S. Geological Survey Professional Paper 1834, 134 p., https://doi.org/10.3133/pp1834.","productDescription":"vii, 134 p.","numberOfPages":"146","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077242","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":340802,"rank":18,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1787","text":"Professional Paper 1787","linkHelpText":"- Baseline and projected future carbon storage and greenhouse-gas fluxes in the Great Plains Region of the United States"},{"id":340799,"rank":15,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/pp1826","text":"Professional Paper 1826","linkHelpText":"- Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of Alaska"},{"id":340797,"rank":13,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_chapter8.pdf","text":"Chapter 8. Projected Future Carbon Storage and Carbon Fluxes in Terrestrial Ecosystems of Hawai‘i From Changes in Climate, Land Use, and Disturbance","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"- By Benjamin M. Sleeter, Jinxun Liu, Colin J. Daniel, Todd J. Hawbaker, Tamara S. Wilson, Lucas B. Fortini, James D. Jacobi, Paul C. Selmants, Christian P. Giardina, Creighton M. Litton, and R. Flint Hughes"},{"id":340796,"rank":12,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_chapter7.pdf","text":"Chapter 7. Baseline and Projected Future Aquatic Carbon Fluxes to Nearshore Waters in Hawai‘i","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"- By Richard A. MacKenzie, Ayron M. Strauch, Tracy N. Wiegner, Steven L. Colbert, Edward G. Stets, and Robert G. Streigl"},{"id":340794,"rank":10,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_chapter5.pdf","text":"Chapter 5. Wildland Fires and Greenhouse Gas Emissions in Hawai‘i","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"- By Todd J. Hawbaker, Clay Trauernicht, Stephen M. Howard, Creighton M. Litton, Christian P. Giardina, James D. Jacobi, Lucas B. Fortini, R. Flint Hughes, Paul C. Selmants, and Zhiliang Zhu"},{"id":340791,"rank":7,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_chapter2.pdf","text":"Chapter 2. Baseline Land Cover","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"- By James D. Jacobi, Jonathan P. Price, Lucas B. Fortini, Samuel M. Gon III, and Paul Berkowitz"},{"id":340821,"rank":5,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_executive_summary.pdf","text":"Executive Summary","size":"250 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"- By Paul C. Selmants, Christian P. Giardina, James D. Jacobi, Lucas B. Fortini, R. Flint Hughes, Todd J. Hawbaker, Richard A. MacKenzie, Benjamin M. Sleeter, and Zhiliang Zhu"},{"id":340803,"rank":19,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20105233","text":"Scientific Investigations Report 2010-5233","linkHelpText":"- A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios"},{"id":340798,"rank":14,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_chapter9.pdf","text":"Chapter 9. Hawai‘i Carbon Balance","size":"600 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"- By Paul C. Selmants, Christian P. Giardina, Benjamin M.Sleeter, Jinxun Liu, and Zhiliang Zhu"},{"id":340786,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834.pdf","text":"Report","size":"23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826"},{"id":340787,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1834/coverthb.jpg"},{"id":340788,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_cover.pdf","text":"Covers","size":"5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826"},{"id":340789,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_front.pdf","text":"Front Matter","size":"241 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826"},{"id":340790,"rank":6,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_chapter1.pdf","text":"Chapter 1. Scope and Methodology","size":"665 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"- By Christian P. Giardina, Paul C. Selmants, and James D. Jacobi"},{"id":340792,"rank":8,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_chapter3.pdf","text":"Chapter 3. Projecting End-of-Century Shifts in the Spatial Pattern of Plant-Available Water Across Hawai‘i to Assess Implications to Vegetation Shifts","size":"5.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"- By Lucas B. Fortini, James D. Jacobi, and Jonathan P. Price"},{"id":340793,"rank":9,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_chapter4.pdf","text":"Chapter 4. Influence of Invasive Species on Carbon Storage in Hawai‘i’s Ecosystems","size":"620 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"- By R. Flint Hughes, Gregory P. Asner, Creighton M. Litton, Paul C. Selmants, Todd J. Hawbaker, James D. Jacobi, Christian P. Giardina, and Benjamin M. Sleeter"},{"id":340795,"rank":11,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1834/a/pp1834_chapter6.pdf","text":"Chapter 6. Baseline Carbon Storage and Carbon Fluxes in Terrestrial Ecosystems of Hawai‘i","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"- By Paul C. Selmants, Christian P. Giardina, Sinan Sousan, David E. Knapp, Heather L. Kimball, Todd J. Hawbaker, Alvaro Moreno, Jami Seirer, Steve W. Running, Tomoaki Miura, Rafael Bergstrom, R. Flint Hughes, Creighton M. Litton, and Gregory P. Asner"},{"id":342057,"rank":20,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DB80B9","text":"Hawaii Land Cover and Habitat Status","linkHelpText":"(Chapter 2)"},{"id":340800,"rank":16,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1804","text":"Professional Paper 1804","linkHelpText":"- Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of the Eastern United States"},{"id":340801,"rank":17,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1797","text":"Professional Paper 1797","linkHelpText":"- Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of the Western United States"}],"country":"United 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 \"}}]}","contact":"<p><a href=\"https://www2.usgs.gov/climate_landuse/lcs/\" data-mce-href=\"https://www2.usgs.gov/climate_landuse/lcs/\">Land Change Science Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>MS 519A National Center<br>Reston, VA 20192<br></p>","tableOfContents":"<ul><li>Executive Summary<br></li><li>Chapter 1. Scope and Methodology<br></li><li>Chapter 2. Baseline Land Cover<br></li><li>Chapter 3. Projecting End-of-Century Shifts in the Spatial Pattern of Plant-Available Water Across Hawai‘i to Assess Implications to Vegetation Shifts<br></li><li>Chapter 4. Influence of Invasive Species on Carbon Storage in Hawai‘i’s Ecosystems<br></li><li>Chapter 5. Wildland Fires and Greenhouse Gas Emissions in Hawai‘i<br></li><li>Chapter 6. Baseline Carbon Storage and Carbon Fluxes in Terrestrial Ecosystems of Hawai‘i<br></li><li>Chapter 7. Baseline and Projected Future Aquatic Carbon Fluxes to Nearshore Waters in Hawai‘i<br></li><li>Chapter 8. Projected Future Carbon Storage and Carbon Fluxes in Terrestrial Ecosystems of Hawai‘i From Changes in Climate, Land Use, and Disturbance<br></li><li>Chapter 9. Hawai‘i Carbon Balance<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-05-04","noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"590c3dcae4b0e541a038dd27","contributors":{"editors":[{"text":"Selmants, Paul C. 0000-0001-6211-3957 pselmants@usgs.gov","orcid":"https://orcid.org/0000-0001-6211-3957","contributorId":182694,"corporation":false,"usgs":true,"family":"Selmants","given":"Paul C.","email":"pselmants@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":694156,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Giardina, Christian P. 0000-0002-3431-5073","orcid":"https://orcid.org/0000-0002-3431-5073","contributorId":182695,"corporation":false,"usgs":false,"family":"Giardina","given":"Christian","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":694157,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":694158,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":694159,"contributorType":{"id":2,"text":"Editors"},"rank":4}]}}
,{"id":70187485,"text":"70187485 - 2017 - Analytical validation of a reverse transcriptase droplet digital PCR (RT-ddPCR) for quantitative detection of infectious hematopoietic necrosis virus","interactions":[],"lastModifiedDate":"2017-05-04T18:09:23","indexId":"70187485","displayToPublicDate":"2017-05-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2496,"text":"Journal of Virological Methods","active":true,"publicationSubtype":{"id":10}},"title":"Analytical validation of a reverse transcriptase droplet digital PCR (RT-ddPCR) for quantitative detection of infectious hematopoietic necrosis virus","docAbstract":"<p><span>Infectious hematopoietic necrosis virus (IHNV) is an important pathogen of salmonid fishes. A validated universal reverse transcriptase quantitative PCR (RT-qPCR) assay that can quantify levels of IHNV in fish tissues has been previously reported. In the present study, we adapted the published set of IHNV primers and probe for use in a reverse-transcriptase droplet digital PCR (RT-ddPCR) assay for quantification of the virus in fish tissue samples. The RT-ddPCR and RT-qPCR assays detected 13 phylogenetically diverse IHNV strains, but neither assay produced detectable amplification when RNA from other fish viruses was used. The RT-ddPCR assay had a limit of detection (LOD) equating to 2.2 plaque forming units (PFU)/μl while the LOD for the RT-qPCR was 0.2 PFU/μl. Good agreement (69.4–100%) between assays was observed when used to detect IHNV RNA in cell culture supernatant and tissues from IHNV infected rainbow trout (</span><i>Oncorhynchus mykiss</i><span>) and arctic char (</span><i>Salvelinus alpinus</i><span>). Estimates of RNA copy number produced by the two assays were significantly correlated but the RT-qPCR consistently produced higher estimates than the RT-ddPCR. The analytical properties of the N gene RT-ddPCR test indicated that this method may be useful to assess IHNV RNA copy number for research and diagnostic purposes. Future work is needed to establish the within and between laboratory diagnostic performance of the RT-ddPCR assay.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jviromet.2017.03.010","usgsCitation":"Jia, P., Purcell, M.K., Pan, G., Wang, J., Kan, S., Liu, Y., Zheng, X., SHi, X., He, J., Yu, L., Hua, Q., Lu, T., Lan, W., Winton, J., Jin, N., and Liu, H., 2017, Analytical validation of a reverse transcriptase droplet digital PCR (RT-ddPCR) for quantitative detection of infectious hematopoietic necrosis virus: Journal of Virological Methods, v. 245, p. 73-80, https://doi.org/10.1016/j.jviromet.2017.03.010.","productDescription":"8 p.","startPage":"73","endPage":"80","ipdsId":"IP-080805","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":340846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"245","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590c3dc8e4b0e541a038dd21","contributors":{"authors":[{"text":"Jia, Peng","contributorId":191750,"corporation":false,"usgs":false,"family":"Jia","given":"Peng","email":"","affiliations":[],"preferred":false,"id":694141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":694140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pan, Guang","contributorId":191751,"corporation":false,"usgs":false,"family":"Pan","given":"Guang","email":"","affiliations":[],"preferred":false,"id":694142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Jinjin","contributorId":191752,"corporation":false,"usgs":false,"family":"Wang","given":"Jinjin","email":"","affiliations":[],"preferred":false,"id":694143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kan, Shifu","contributorId":191753,"corporation":false,"usgs":false,"family":"Kan","given":"Shifu","email":"","affiliations":[],"preferred":false,"id":694144,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Yin","contributorId":191754,"corporation":false,"usgs":false,"family":"Liu","given":"Yin","email":"","affiliations":[],"preferred":false,"id":694145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zheng, Xiaocong","contributorId":191755,"corporation":false,"usgs":false,"family":"Zheng","given":"Xiaocong","email":"","affiliations":[],"preferred":false,"id":694146,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"SHi, Xiujie","contributorId":191756,"corporation":false,"usgs":false,"family":"SHi","given":"Xiujie","email":"","affiliations":[],"preferred":false,"id":694147,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"He, Junqiang","contributorId":191757,"corporation":false,"usgs":false,"family":"He","given":"Junqiang","email":"","affiliations":[],"preferred":false,"id":694148,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yu, Li","contributorId":191758,"corporation":false,"usgs":false,"family":"Yu","given":"Li","email":"","affiliations":[],"preferred":false,"id":694149,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hua, Qunyi","contributorId":191759,"corporation":false,"usgs":false,"family":"Hua","given":"Qunyi","email":"","affiliations":[],"preferred":false,"id":694150,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lu, Tikang","contributorId":191760,"corporation":false,"usgs":false,"family":"Lu","given":"Tikang","email":"","affiliations":[],"preferred":false,"id":694151,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lan, Wensheng","contributorId":191761,"corporation":false,"usgs":false,"family":"Lan","given":"Wensheng","email":"","affiliations":[],"preferred":false,"id":694152,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Winton, James 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":179330,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":694153,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jin, Ningyi","contributorId":191762,"corporation":false,"usgs":false,"family":"Jin","given":"Ningyi","email":"","affiliations":[],"preferred":false,"id":694154,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Liu, Hong","contributorId":191763,"corporation":false,"usgs":false,"family":"Liu","given":"Hong","email":"","affiliations":[],"preferred":false,"id":694155,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70187506,"text":"70187506 - 2017 - Evaluation of laser ablation double-focusing SC-ICPMS for “common” lead isotopic measurements in silicate glasses and mineral","interactions":[],"lastModifiedDate":"2017-06-07T14:02:44","indexId":"70187506","displayToPublicDate":"2017-05-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2155,"text":"Journal of Analytical Atomic Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of laser ablation double-focusing SC-ICPMS for “common” lead isotopic measurements in silicate glasses and mineral","docAbstract":"<p><span>An analytical method for the in situ measurement of “common” Pb isotope ratios in silicate glasses and minerals using a 193-nm excimer laser ablation (LA) system with a double-focusing single-collector (SC)-ICPMS is presented and evaluated as a possible alternative to multiple-collector (MC)-ICPMS. This LA-SC-ICPMS technique employs fast-scanning ion deflectors to sequentially place a series of flat-topped isotope peaks into a single ion-counting detector at a fixed accelerating voltage and magnetic field strength. Reference materials (including NIST, MPI-DING, and USGS glasses) are used to identify two analytical artifacts on the Pb isotope ratios (expressed here as heavier/lighter isotopes) when corrected for mass bias relative to NIST SRM610. The first artifact is characterized by anomalously low Pb isotope ratios (~0.1%/AMU) when SRM610 is analyzed in raster mode as an unknown at small spot sizes (&lt;25 µm), which may indicate that (1) SRM610 is isotopically heterogeneous on a small length scale and/or (2) there is a non-spectral matrix effect on the Pb isotope ratios related to differences in spot size. The second artifact is characterized by anomalously high Pb isotope ratios (&lt;0.1%/AMU) for NIST SRM612 (in raster mode) and some Fe-rich glass reference materials (BCR-2G, GOR132-G, and T1-G). These offsets are thought to be caused by one or more non-spectral matrix effects related to differences in the ablation behavior, composition, or physical properties of these reference materials compared to the bracketing SRM610 standard. The precision (±2SD) of our LA-SC-ICPMS Pb isotopic measurements is similar to (<sup>207</sup>Pb/<sup>206</sup>Pb and <sup>208</sup>Pb/<sup>206</sup>Pb, or <sup>20X</sup>Pb/<sup>206</sup>Pb) or better than (<sup>206</sup>Pb/<sup>204</sup>Pb,<sup>207</sup>Pb/<sup>204</sup>Pb, and <sup>208</sup>Pb/<sup>204</sup>Pb, or <sup>20X</sup>Pb/<sup>204</sup>Pb) a series of published studies that used a different type of SC-ICPMS and obtained a factor of ~3-4 higher sensitivity for Pb. An increase in the sensitivity of our LA-SC-ICPMS would likely improve the precision of the <sup>20X</sup>Pb/<sup>206</sup>Pb and <sup>20X</sup>Pb/<sup>204P</sup>b ratios for low-Pb materials (&lt;5 ppm), possibly making the technique broadly similar to LA-MC-ICPMS (particularly compared to methods that rely upon at least one ion-counting detector). Further improvement in the precision of the <sup>20X</sup>Pb/<sup>206</sup>Pb and <sup>20X</sup>Pb/<sup>204</sup>Pb ratios for high-Pb materials (&gt;5 ppm) by LA-SC-ICPMS is unlikely, and in this case, LA-MC-ICPMS remains the preferable analytical technique.</span></p>","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/c7ja00005g","usgsCitation":"Pietruszka, A.J., and Neymark, L., 2017, Evaluation of laser ablation double-focusing SC-ICPMS for “common” lead isotopic measurements in silicate glasses and mineral: Journal of Analytical Atomic Spectrometry, v. 32, no. 6, p. 1135-1154, https://doi.org/10.1039/c7ja00005g.","productDescription":"20 p.","startPage":"1135","endPage":"1154","ipdsId":"IP-082736","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":340845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590c3dc8e4b0e541a038dd1f","contributors":{"authors":[{"text":"Pietruszka, Aaron J. 0000-0002-2826-9509 apietruszka@usgs.gov","orcid":"https://orcid.org/0000-0002-2826-9509","contributorId":4552,"corporation":false,"usgs":true,"family":"Pietruszka","given":"Aaron","email":"apietruszka@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":694220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":694221,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185687,"text":"ofr20161212 - 2017 - The U.S. Geological Survey Monthly Water Balance Model Futures Portal","interactions":[],"lastModifiedDate":"2017-05-03T14:33:53","indexId":"ofr20161212","displayToPublicDate":"2017-05-03T12:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1212","title":"The U.S. Geological Survey Monthly Water Balance Model Futures Portal","docAbstract":"<p>The U.S. Geological Survey Monthly Water Balance Model Futures Portal (<a href=\"https://my.usgs.gov/mows/\" data-mce-href=\"https://my.usgs.gov/mows/\">https://my.usgs.gov/mows/</a>) is a user-friendly interface that summarizes monthly historical and simulated future conditions for seven hydrologic and meteorological variables (actual evapotranspiration, potential evapotranspiration, precipitation, runoff, snow water equivalent, atmospheric temperature, and streamflow) at locations across the conterminous United States (CONUS).</p><p>The estimates of these hydrologic and meteorological variables were derived using a Monthly Water Balance Model (MWBM), a modular system that simulates monthly estimates of components of the hydrologic cycle using monthly precipitation and atmospheric temperature inputs. Precipitation and atmospheric temperature from 222 climate datasets spanning historical conditions (1952 through 2005) and simulated future conditions (2020 through 2099) were summarized for hydrographic features and used to drive the&nbsp;MWBM for the CONUS. The MWBM input and output variables were organized into an open-access database. An Open Geospatial Consortium, Inc., Web Feature Service allows the querying and identification of hydrographic features across the CONUS. To connect the Web Feature Service to the open-access database, a user interface—the Monthly Water Balance Model Futures Portal—was developed to allow the dynamic generation of summary files and plots &nbsp;based on plot type, geographic location, specific climate datasets, period of record, MWBM variable, and other options. Both the plots and the data files are made available to the user for download</p><p>&nbsp;<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161212","collaboration":"Prepared in cooperation with the U.S. Department of the Interior South Central Climate Science Center and the U.S. Environmental Protection Agency","usgsCitation":"Bock, A.R., Hay, L.E., Markstrom, S.L., Emmerich, Chris, and Talbert, Marian, 2017, The U.S. Geological Survey Monthly Water Balance Model Futures Portal: U.S. Geological Survey Open-File Report 2016–1212, 21 p., https://doi.org/10.3133/ofr20161212.","productDescription":"vii, 21 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-079824","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":340150,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1212/ofr20161212.pdf","text":"Report","size":"3.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1212"},{"id":340149,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1212/coverthb.jpg"}],"contact":"<p>Director, USGS Colorado Water Science Center<br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p><p><a href=\"http://co.water.usgs.gov/\" data-mce-href=\"http://co.water.usgs.gov/\">http://co.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Portal Components</li><li>The Monthly Water Balance Model Futures Portal</li><li>Portal Operation</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Bias-Corrected Spatially Disaggregated CMIP3 Projection Ensembles Accessible in the Monthly Water Balance Model Futures Portal</li><li>Appendix 2. Bias-Corrected Spatially Disaggregated CMIP5 Projection Ensembles Accessible in Monthly Water Balance Model Futures Portal</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-05-03","noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"590aec43e4b0fc4e4492ab9b","contributors":{"authors":[{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":686396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":686397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":686398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emmerich, Christopher emmerichc@usgs.gov","contributorId":189893,"corporation":false,"usgs":true,"family":"Emmerich","given":"Christopher","email":"emmerichc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":686399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbert, Marian mtalbert@usgs.gov","contributorId":5180,"corporation":false,"usgs":true,"family":"Talbert","given":"Marian","email":"mtalbert@usgs.gov","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":692511,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208288,"text":"70208288 - 2017 - Large crater clustering tool","interactions":[],"lastModifiedDate":"2020-02-03T10:19:38","indexId":"70208288","displayToPublicDate":"2017-05-03T10:19:17","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Large crater clustering tool","docAbstract":"In this paper we present the Large Crater Clustering (LCC) tool set, an ArcGIS plugin that supports the quantitative approximation of a primary impact location from user-identified locations of possible secondary impact craters or the long-axes of clustered secondary craters. The identification of primary impact craters directly supports planetary geologic mapping and topical science studies where the chronostratigraphic age of some geologic units may be known, but more distant features have questionable geologic ages. Previous works (e.g., McEwen et al., 2005; Dundas and McEwen, 2007) have shown that the source of secondary impact craters can be estimated from secondary impact craters. This work adapts those methods into a statistically robust tool set. We describe the four individual tools within the LCC tool set to support: (1) processing individually digitized point observations (craters), (2) estimating the directional distribution of a clustered set of craters, back projecting the potential flight paths (crater clusters or linearly approximated catenae or lineaments), (3) intersecting projected paths, and (4) intersecting back-projected trajectories to approximate the local of potential source primary craters. We present two case studies using secondary impact features mapped in two regions of Mars. We demonstrate that the tool is able to quantitatively identify primary impacts and supports the improved qualitative interpretation of potential secondary crater flight trajectories.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2017.04.011","usgsCitation":"Laura, J., Skinner, J.A., and Hunter, M.A., 2017, Large crater clustering tool: Computers & Geosciences, v. 105, p. 81-90, https://doi.org/10.1016/j.cageo.2017.04.011.","productDescription":"10 p.","startPage":"81","endPage":"90","ipdsId":"IP-077136","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":371915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"105","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Laura, Jason 0000-0002-1377-8159","orcid":"https://orcid.org/0000-0002-1377-8159","contributorId":222124,"corporation":false,"usgs":true,"family":"Laura","given":"Jason","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":781267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skinner, James A. Jr. 0000-0002-3644-7010 jskinner@usgs.gov","orcid":"https://orcid.org/0000-0002-3644-7010","contributorId":213622,"corporation":false,"usgs":true,"family":"Skinner","given":"James","suffix":"Jr.","email":"jskinner@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":781268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Marc A. 0000-0002-6999-3245 mahunter@usgs.gov","orcid":"https://orcid.org/0000-0002-6999-3245","contributorId":210560,"corporation":false,"usgs":true,"family":"Hunter","given":"Marc","email":"mahunter@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":781269,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187181,"text":"ofr20171046 - 2017 - Arsenic and uranium in private wells in Connecticut, 2013-15","interactions":[],"lastModifiedDate":"2017-05-03T09:47:42","indexId":"ofr20171046","displayToPublicDate":"2017-05-03T09:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1046","title":"Arsenic and uranium in private wells in Connecticut, 2013-15","docAbstract":"<p><span>The occurrence of arsenic and uranium in groundwater at concentrations that exceed drinking-water standards is a concern because of the potential adverse effects on human health. Some early studies of arsenic occurrence in groundwater considered anthropogenic causes, but more recent studies have focused on sources of naturally occurring arsenic to groundwater, such as minerals within aquifer materials that are in contact with groundwater. Arsenic and uranium in groundwater in New England have been shown to have a strong association to the geologic setting and nearby streambed sediment concentrations. In New Hampshire and Massachusetts, arsenic and uranium concentrations greater than human-health benchmarks have shown distinct spatial patterns when related to the bedrock units mapped at the local scale.</span></p><p><span>The Connecticut Department of Public Health (DPH) reported that there are about 322,600 private wells in Connecticut serving approximately 823,000 people, or 23 percent of the State’s population. The State does not require that existing private wells be routinely tested for arsenic, uranium, or other contaminants; consequently, private wells are only sampled at the well owner’s discretion or when they are newly constructed. The U.S. Geological Survey (USGS), in cooperation with the DPH, completed an assessment in 2016 on the distribution of concentrations of arsenic and uranium in groundwater from bedrock in Connecticut. This report presents the major findings for arsenic and uranium concentrations from water samples collected from 2013 to 2015 from private wells.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171046","issn":"2331-1258","collaboration":"Prepared in cooperation with the Connecticut Department of Public Health","usgsCitation":"Flanagan, S.M., and Brown, C.J., 2017, Arsenic and uranium in private wells in Connecticut, 2013–15: U.S. Geological Survey Open-File Report 2017–1046; 8 p., https://doi.org/10.3133/ofr20171046.","productDescription":"Report: 8 p; Data Release","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076719","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":340583,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K935P5","text":"USGS data release","description":"USGS data release","linkHelpText":"Inventory of water-quality and geologic-setting data from 674 private wells in Connecticut, 2013-2015"},{"id":340579,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1046/coverthb.jpg"},{"id":340580,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1046/ofr20171046.pdf","text":"Report","size":"6.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1046"}],"country":"United States","state":"Connecticut","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-71.799242,42.008065],[-71.797922,41.935395],[-71.797649,41.928556],[-71.794161,41.841101],[-71.794161,41.840141],[-71.792786,41.80867],[-71.792767,41.807001],[-71.791062,41.770273],[-71.789678,41.724734],[-71.789672,41.724569],[-71.786994,41.655992],[-71.787637,41.639917],[-71.789356,41.59691],[-71.789359,41.596852],[-71.797683,41.416709],[-71.81839,41.419599],[-71.839649,41.412119],[-71.842563,41.409855],[-71.843472,41.40583],[-71.842131,41.395359],[-71.833443,41.384524],[-71.831613,41.370899],[-71.837738,41.363529],[-71.835951,41.353935],[-71.829595,41.344544],[-71.839013,41.334042],[-71.860513,41.320248],[-71.859566,41.3224],[-71.868235,41.330941],[-71.886302,41.33641],[-71.91671,41.332217],[-71.922092,41.334518],[-71.923282,41.335113],[-71.936284,41.337959],[-71.945652,41.337799],[-71.956747,41.329871],[-71.970955,41.324526],[-71.979447,41.329987],[-71.982194,41.329861],[-71.988153,41.320577],[-72.021898,41.316838],[-72.084487,41.319634],[-72.094443,41.314164],[-72.09982,41.306998],[-72.11182,41.299098],[-72.134221,41.299398],[-72.16158,41.310262],[-72.173922,41.317597],[-72.177622,41.322497],[-72.184122,41.323997],[-72.191022,41.323197],[-72.201422,41.315697],[-72.203022,41.313197],[-72.204022,41.299097],[-72.212924,41.291365],[-72.225276,41.299047],[-72.235531,41.300413],[-72.248161,41.299488],[-72.251895,41.29862],[-72.250515,41.294386],[-72.251323,41.289997],[-72.261487,41.282926],[-72.31776,41.277782],[-72.327595,41.27846],[-72.333894,41.282916],[-72.34146,41.28011],[-72.348643,41.277446],[-72.348068,41.269698],[-72.386629,41.261798],[-72.398688,41.278172],[-72.40593,41.278398],[-72.451925,41.278885],[-72.472539,41.270103],[-72.485693,41.270881],[-72.499534,41.265866],[-72.506634,41.260099],[-72.51866,41.261253],[-72.521312,41.2656],[-72.529416,41.264421],[-72.533247,41.26269],[-72.536746,41.256207],[-72.537776,41.255646],[-72.546833,41.250718],[-72.547235,41.250499],[-72.570655,41.267744],[-72.571076,41.268054],[-72.571136,41.268098],[-72.583336,41.271698],[-72.585181,41.271321],[-72.585934,41.271168],[-72.586674,41.271017],[-72.587926,41.270761],[-72.589818,41.270375],[-72.590967,41.270141],[-72.598036,41.268698],[-72.607863,41.270387],[-72.610236,41.270795],[-72.617237,41.271998],[-72.617521,41.27194],[-72.617983,41.271845],[-72.631363,41.269092],[-72.641001,41.267108],[-72.641538,41.266998],[-72.642811,41.266884],[-72.650697,41.266178],[-72.653838,41.265897],[-72.653931,41.265931],[-72.654715,41.266219],[-72.662203,41.268964],[-72.662838,41.269197],[-72.667176,41.268192],[-72.671673,41.267151],[-72.672339,41.266997],[-72.674319,41.26552],[-72.684939,41.257597],[-72.685414,41.252607],[-72.685539,41.251297],[-72.689446,41.247629],[-72.690237,41.246887],[-72.690439,41.246697],[-72.693441,41.245493],[-72.694744,41.24497],[-72.69547,41.244948],[-72.701806,41.244752],[-72.706236,41.244615],[-72.707212,41.244585],[-72.708658,41.24454],[-72.708963,41.24453],[-72.709193,41.244523],[-72.710595,41.24448],[-72.710821,41.244812],[-72.713674,41.249007],[-72.711208,41.251018],[-72.71246,41.254167],[-72.722439,41.259138],[-72.732813,41.254727],[-72.754444,41.266913],[-72.757477,41.266913],[-72.786142,41.264796],[-72.818737,41.252244],[-72.819372,41.254061],[-72.826883,41.256755],[-72.847767,41.25669],[-72.85021,41.255544],[-72.854055,41.24774],[-72.861344,41.245297],[-72.881445,41.242597],[-72.895445,41.243697],[-72.900803,41.245864],[-72.904345,41.247297],[-72.905245,41.248297],[-72.903045,41.252797],[-72.902808,41.252894],[-72.894745,41.256197],[-72.89473,41.25626],[-72.893845,41.259897],[-72.89637,41.263949],[-72.903129,41.274794],[-72.907962,41.282549],[-72.9082,41.282932],[-72.916827,41.282033],[-72.917037,41.281905],[-72.920062,41.280056],[-72.920658,41.271574],[-72.920714,41.27078],[-72.920846,41.268897],[-72.931887,41.261139],[-72.933472,41.260024],[-72.935646,41.258497],[-72.956984,41.25292],[-72.959633,41.252228],[-72.961345,41.25178],[-72.962047,41.251597],[-72.983751,41.235364],[-72.985095,41.234358],[-72.986247,41.233497],[-72.997948,41.222697],[-73.003639,41.215287],[-73.007548,41.210197],[-73.013465,41.205479],[-73.013988,41.205062],[-73.014948,41.204297],[-73.020149,41.204097],[-73.020167,41.204237],[-73.020195,41.204446],[-73.02021,41.204568],[-73.020254,41.204906],[-73.020449,41.206397],[-73.022549,41.207197],[-73.024783,41.207435],[-73.045602,41.209658],[-73.05065,41.210197],[-73.054947,41.208468],[-73.05935,41.206697],[-73.07761,41.195176],[-73.07945,41.194015],[-73.09122,41.184153],[-73.092,41.1835],[-73.092147,41.183377],[-73.104328,41.17317],[-73.105483,41.172203],[-73.105493,41.172194],[-73.107987,41.168738],[-73.110352,41.159697],[-73.109952,41.156997],[-73.108352,41.153718],[-73.111052,41.150797],[-73.130253,41.146797],[-73.16437,41.158565],[-73.170074,41.160532],[-73.170701,41.164945],[-73.177774,41.166697],[-73.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 \"}}]}","contact":"<p><a href=\"mailto:dc_nh@usgs.gov\" data-mce-href=\"mailto:dc_nh@usgs.gov\">Director</a>, <a href=\"https://newengland.water.usgs.gov/\" data-mce-href=\"https://newengland.water.usgs.gov/\">New England Water Science Center</a><br> U.S. Geological Survey<br> 331 Commerce Way, Suite 2<br> Pembroke, NH 03275</p>","tableOfContents":"<ul><li>Major Findings</li><li>Introduction</li><li>Sources of Data on Arsenic and Uranium Concentrations</li><li>Arsenic and Uranium Concentrations in the State</li><li>Arsenic and Uranium Occurrence in Relation to Bedrock Geology</li><li>Comparison of Arsenic and Uranium Exceedance Rates in Three Towns</li><li>Human Health Implications</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2017-05-03","noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"590aec45e4b0fc4e4492ab9d","contributors":{"authors":[{"text":"Flanagan, Sarah M. sflanaga@usgs.gov","contributorId":2666,"corporation":false,"usgs":true,"family":"Flanagan","given":"Sarah","email":"sflanaga@usgs.gov","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":692952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Craig J. cjbrown@usgs.gov","contributorId":191408,"corporation":false,"usgs":true,"family":"Brown","given":"Craig","email":"cjbrown@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":692953,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187426,"text":"70187426 - 2017 - Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants","interactions":[],"lastModifiedDate":"2017-06-01T10:27:32","indexId":"70187426","displayToPublicDate":"2017-05-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants","docAbstract":"<p><strong>Aim</strong></p><p>The distributions of exotic species reflect patterns of human-mediated dispersal, species climatic tolerances and a suite of other biotic and abiotic factors. The relative importance of each of these factors will shape how the spread of exotic species is affected by ongoing economic globalization and climate change. However, patterns of trade may be correlated with variation in scientific sampling effort globally, potentially confounding studies that do not account for sampling patterns.</p><p><strong>Location</strong></p><p>Global.</p><p><strong>Time period</strong></p><p>Museum records, generally from the 1800s up to 2015.</p><p><strong>Major taxa studied</strong></p><p>Plant species exotic to the United States.</p><p><strong>Methods</strong></p><p>We used data from the Global Biodiversity Information Facility (GBIF) to summarize the number of plant species with exotic occurrences in the United States that also occur in each other country world-wide. We assessed the relative importance of trade and climatic similarity for explaining variation in the number of shared species while evaluating several methods to account for variation in sampling effort among countries.</p><p><strong>Results</strong></p><p>Accounting for variation in sampling effort reversed the relative importance of trade and climate for explaining numbers of shared species. Trade was strongly correlated with numbers of shared U.S. exotic plants between the United States and other countries before, but not after, accounting for sampling variation among countries. Conversely, accounting for sampling effort strengthened the relationship between climatic similarity and species sharing. Using the number of records as a measure of sampling effort provided a straightforward approach for the analysis of occurrence data, whereas species richness estimators and rarefaction were less effective at removing sampling bias.</p><p><strong>Main conclusions</strong></p><p>Our work provides support for broad-scale climatic limitation on the distributions of exotic species, illustrates the need to account for variation in sampling effort in large biodiversity databases, and highlights the difficulty in inferring causal links between the economic drivers of invasion and global patterns of exotic species occurrence.</p>","language":"English","publisher":"Wiley","doi":"10.1111/geb.12577","usgsCitation":"Sofaer, H., and Jarnevich, C.S., 2017, Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants: Global Ecology and Biogeography, v. 26, no. 6, p. 669-678, https://doi.org/10.1111/geb.12577.","productDescription":"10 p.","startPage":"669","endPage":"678","ipdsId":"IP-076101","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":438354,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z31WSS","text":"USGS data release","linkHelpText":"Data associated with Sofaer and Jarnevich 'Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants'"},{"id":340761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-20","publicationStatus":"PW","scienceBaseUri":"590aec46e4b0fc4e4492aba1","contributors":{"authors":[{"text":"Sofaer, Helen 0000-0002-9450-5223 hsofaer@usgs.gov","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":169118,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"hsofaer@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":694007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":694008,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187427,"text":"70187427 - 2017 - Designing ecological climate change impact assessments to reflect key climatic drivers","interactions":[],"lastModifiedDate":"2017-06-07T10:15:21","indexId":"70187427","displayToPublicDate":"2017-05-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Designing ecological climate change impact assessments to reflect key climatic drivers","docAbstract":"<div class=\"article-section__content mainAbstract\"><p>Identifying the climatic drivers of an ecological system is a key step in assessing its vulnerability to climate change. The climatic dimensions to which a species or system is most sensitive – such as means or extremes – can guide methodological decisions for projections of ecological impacts and vulnerabilities. However, scientific workflows for combining climate projections with ecological models have received little explicit attention. We review Global Climate Model (GCM) performance along different dimensions of change and compare frameworks for integrating GCM output into ecological models. In systems sensitive to climatological means, it is straightforward to base ecological impact assessments on mean projected changes from several GCMs. Ecological systems sensitive to climatic extremes may benefit from what we term the ‘model space’ approach: a comparison of ecological projections based on simulated climate from historical and future time periods. This approach leverages the experimental framework used in climate modeling, in which historical climate simulations serve as controls for future projections. Moreover, it can capture projected changes in the intensity and frequency of climatic extremes, rather than assuming that future means will determine future extremes. Given the recent emphasis on the ecological impacts of climatic extremes, the strategies we describe will be applicable across species and systems. We also highlight practical considerations for the selection of climate models and data products, emphasizing that the spatial resolution of the climate change signal is generally coarser than the grid cell size of downscaled climate model output. Our review illustrates how an understanding of how climate model outputs are derived and downscaled can improve the selection and application of climatic data used in ecological modeling.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13653","usgsCitation":"Sofaer, H., Barsugli, J.J., Jarnevich, C.S., Abatzoglou, J.T., Talbert, M., Miller, B.W., and Morisette, J.T., 2017, Designing ecological climate change impact assessments to reflect key climatic drivers: Global Change Biology, v. 23, no. 7, p. 2537-2553, https://doi.org/10.1111/gcb.13653.","productDescription":"17 p.","startPage":"2537","endPage":"2553","ipdsId":"IP-079685","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":340760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-06","publicationStatus":"PW","scienceBaseUri":"590aec45e4b0fc4e4492ab9f","contributors":{"authors":[{"text":"Sofaer, Helen 0000-0002-9450-5223 hsofaer@usgs.gov","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":169118,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"hsofaer@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":694009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barsugli, Joseph J.","contributorId":191728,"corporation":false,"usgs":false,"family":"Barsugli","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":17861,"text":"NOAA/Earth System Research Laboratory/Physical Sciences Division, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":694010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":694011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abatzoglou, John T.","contributorId":191729,"corporation":false,"usgs":false,"family":"Abatzoglou","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":33345,"text":" University of Idaho","active":true,"usgs":false}],"preferred":false,"id":694012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbert, Marian 0000-0003-0588-0265 mtalbert@usgs.gov","orcid":"https://orcid.org/0000-0003-0588-0265","contributorId":191730,"corporation":false,"usgs":true,"family":"Talbert","given":"Marian","email":"mtalbert@usgs.gov","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":694013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":191731,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"bwmiller@usgs.gov","middleInitial":"W.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":694014,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":694015,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70189474,"text":"70189474 - 2017 - How do en route events around the Gulf of Mexico influence landbird populations","interactions":[],"lastModifiedDate":"2017-07-13T14:34:34","indexId":"70189474","displayToPublicDate":"2017-05-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"How do en route events around the Gulf of Mexico influence landbird populations","docAbstract":"Habitats around the Gulf of Mexico (GOM) provide critical resources for Nearctic–Neotropical migratory landbirds, the majority of which travel across or around the GOM every spring and fall as they migrate between temperate breeding grounds in North America and tropical wintering grounds in the Caribbean and Central and South America. At the same time, ecosystems in the GOM are changing rapidly, with unknown consequences for migratory landbird populations, many of which are experiencing population declines. In general, the extent to which events encountered en route limit migratory bird populations is not well understood. At the same time, information from weather surveillance radar, stable isotopes, tracking, eBird, and genetic datasets is increasingly available to address many of the unanswered questions about bird populations that migrate through stopover and airspace habitats in the GOM. We review the state of the science and identify key research needs to understand the impacts of en route events around the GOM region on populations of intercontinental landbird migrants that breed in North America, including: (1) distribution, timing, and habitat associations; (2) habitat characteristics and quality; (3) migratory connectivity; and (4) threats to and current conservation status of airspace and stopover habitats. Finally, we also call for the development of unified and comprehensive long-term monitoring guidelines and international partnerships to advance our understanding of the role of habitats around the GOM in supporting migratory landbird populations moving between temperate breeding grounds and wintering grounds in Mexico, Central and South America, and the Caribbean.","language":"English","publisher":"American Ornithological Society: BioOne","doi":"10.1650/CONDOR-17-20.1","usgsCitation":"Cohen, E.B., Barrow, W., Buler, J.J., Deppe, J.L., Farnsworth, A., Marra, P.P., McWilliams, S.R., Mehlman, D.W., Wilson, R.R., Woodrey, M.S., and Moore, F.R., 2017, How do en route events around the Gulf of Mexico influence landbird populations: The Condor, v. 119, no. 2, p. 327-343, https://doi.org/10.1650/CONDOR-17-20.1.","productDescription":"18 p. 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Jr. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":168953,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","suffix":"Jr.","email":"barroww@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":704852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buler, Jeffrey J.","contributorId":194648,"corporation":false,"usgs":false,"family":"Buler","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":704854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deppe, Jill L.","contributorId":173619,"corporation":false,"usgs":false,"family":"Deppe","given":"Jill","email":"","middleInitial":"L.","affiliations":[{"id":27256,"text":"Dept of Biological Sciences, Eastern Illinois University, Charleston, IL","active":true,"usgs":false}],"preferred":false,"id":704855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farnsworth, Andrew","contributorId":194649,"corporation":false,"usgs":false,"family":"Farnsworth","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":704856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marra, Peter P.","contributorId":190140,"corporation":false,"usgs":false,"family":"Marra","given":"Peter","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":704857,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McWilliams, Scott R.","contributorId":172328,"corporation":false,"usgs":false,"family":"McWilliams","given":"Scott","email":"","middleInitial":"R.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":704858,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mehlman, David W","contributorId":194650,"corporation":false,"usgs":false,"family":"Mehlman","given":"David","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":704859,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilson, R. Randy","contributorId":171715,"corporation":false,"usgs":false,"family":"Wilson","given":"R.","email":"","middleInitial":"Randy","affiliations":[{"id":26933,"text":"U.S. Fish and Wildlife Service, 6578 Dogwood View Pkwy, Suite C, Jackson, MS 39213","active":true,"usgs":false}],"preferred":false,"id":704860,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Woodrey, Mark S","contributorId":194651,"corporation":false,"usgs":false,"family":"Woodrey","given":"Mark","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":704861,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moore, Frank R.","contributorId":54582,"corporation":false,"usgs":false,"family":"Moore","given":"Frank","email":"","middleInitial":"R.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":704862,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70187403,"text":"70187403 - 2017 - A rapid diagnostic test and mobile \"lab in a suitcase\" platform for detecting <i>Ceratocystis</i> spp. responsible for Rapid ‘Ōhi‘a Death","interactions":[],"lastModifiedDate":"2018-01-05T12:23:28","indexId":"70187403","displayToPublicDate":"2017-05-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-TR082","title":"A rapid diagnostic test and mobile \"lab in a suitcase\" platform for detecting <i>Ceratocystis</i> spp. responsible for Rapid ‘Ōhi‘a Death","docAbstract":"We describe a field compatible molecular diagnostic test for two new species of Ceratocystis that infect `ōhi`a (Metrosideros polymorpha) and cause the disease commonly known as Rapid `Ōhi`a Death. The diagnostic is based on amplification of a DNA locus within the internal transcribed spacer region that separates fungal 5.8S ribosomal genes. The assay uses forward and reverse primers, recombinase polymerase, and a fluorescent probe that allows isothermal (40oC) amplification and simultaneous quantification of a 115 base pair product with a battery operated fluorometer. DNA extractions are field compatible and can be done by heating wood drill shavings to 100oC in Instagene® solution containing Chelex® resin to bind potential amplification inhibitors. The initial heat treatment is followed by a short bead beating step with steel ball bearings and zirconium beads to release DNA. DNA is subsequently purified with a magnetic bead based extraction method that does not require silica columns or centrifugation. The assay is designed around a portable “lab-in-a-suitcase” platform that includes a portable fluorometer, miniature centrifuge, and heat block that operate off either 120V AC power sources or a 12 volt battery with a portable inverter, a magnetic rack designed for 1.5 ml tubes and magnetic bead DNA purification, pipettes and consumable reagents and tubes. The entire assay from DNA extraction to results can be performed in less than 90 minutes on up to six independent samples plus a positive and negative control. Sensitivity based on suspensions of Ceratocystis endoconidia (spores) that were added to wood shavings and processed under field conditions by Instagene® magnetic bead DNA extraction was up to 163 spores/mg wood for Species A and 55 spores/mg wood for Species B in 95% of replicates as determined by probit analysis. Sensitivity increased 5–10 fold to 19 spores/mg wood for Species A and 9 spores/mg wood for Species B when extractions were performed with a commercial, silica column based DNA purification kit. The test did not cross react with other common fungi that have been isolated from `ōhi`a.","language":"English","publisher":"University of Hawaii at Hilo","usgsCitation":"Atkinson, C.T., Watcher-Weatherwax, W., Roy, K., Heller, W.P., and Keith, L., 2017, A rapid diagnostic test and mobile \"lab in a suitcase\" platform for detecting <i>Ceratocystis</i> spp. responsible for Rapid ‘Ōhi‘a Death: Technical Report HCSU-TR082, iv, 29 p.","productDescription":"iv, 29 p.","ipdsId":"IP-080050","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":340713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350329,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/3025"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099aade4b0fc4e449157e4","contributors":{"authors":[{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":693864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watcher-Weatherwax, William","contributorId":167128,"corporation":false,"usgs":false,"family":"Watcher-Weatherwax","given":"William","email":"","affiliations":[{"id":24621,"text":"Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":693865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, Kylle 0000-0002-7993-9031","orcid":"https://orcid.org/0000-0002-7993-9031","contributorId":191692,"corporation":false,"usgs":false,"family":"Roy","given":"Kylle","affiliations":[],"preferred":false,"id":693866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heller, Wade P","contributorId":191693,"corporation":false,"usgs":false,"family":"Heller","given":"Wade","email":"","middleInitial":"P","affiliations":[],"preferred":false,"id":693867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keith, Lisa","contributorId":191694,"corporation":false,"usgs":false,"family":"Keith","given":"Lisa","affiliations":[],"preferred":false,"id":693868,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184212,"text":"gip172 - 2017 - Land change monitoring, assessment, and projection (LCMAP) revolutionizes land cover and land change research","interactions":[],"lastModifiedDate":"2017-05-03T10:03:12","indexId":"gip172","displayToPublicDate":"2017-05-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"172","title":"Land change monitoring, assessment, and projection (LCMAP) revolutionizes land cover and land change research","docAbstract":"<p>When nature and humanity change Earth’s landscapes - through flood or fire, public policy, natural resources management, or economic development - the results are often dramatic and lasting.</p><p>Wildfires can reshape ecosystems. Hurricanes with names like Sandy or Katrina will howl for days while altering the landscape for years. One growing season in the evolution of drought-resistant genetics can transform semiarid landscapes into farm fields.</p><p>In the past, valuable land cover maps created for understanding the effects of those events - whether changes in wildlife habitat, water-quality impacts, or the role land use and land cover play in affecting weather and climate - came out at best every 5 to 7 years. Those high quality, high resolution maps were good, but users always craved more: even higher quality data, additional land cover and land change variables, more detailed legends, and most importantly, more frequent land change information.</p><p>Now a bold new initiative called Land Change Monitoring, Assessment, and Projection (LCMAP) promises to fulfill that demand.</p><p>Developed at the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, South Dakota, LCMAP provides definitive, timely information on how, why, and where the planet is changing. LCMAP’s continuous monitoring process can detect changes as they happen every day that Landsat satellites acquire clear observations. The result will be to place near real-time information in the hands of land and resource managers who need to understand the effects these changes have on landscapes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip172","usgsCitation":"Young, S.M., 2017, Land Change Monitoring, Assessment, and Projection (LCMAP) revolutionizes land cover and land change research: U.S. Geological Survey General Information Product 172, 4 p., https://doi.org/10.3133/gip172.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-083103","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":340452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0172/coverthb.jpg"},{"id":340453,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0172/gip172.pdf","size":"7.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 172"}],"contact":"<p>Director,&nbsp;Earth Resources Observation and Science (EROS) Center<br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://eros.usgs.gov\" data-mce-href=\"https://eros.usgs.gov\">https://eros.usgs.gov</a></p>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-05-02","noUsgsAuthors":false,"publicationDate":"2017-05-02","publicationStatus":"PW","scienceBaseUri":"59099aade4b0fc4e449157e6","contributors":{"authors":[{"text":"Young, Steven 0000-0002-7904-9696 steven.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-7904-9696","contributorId":173131,"corporation":false,"usgs":true,"family":"Young","given":"Steven","email":"steven.young.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":680572,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70200519,"text":"70200519 - 2017 - Developing an effective Agassiz's Desert Tortoise monitoring program: Final report to the Coachella Valley Conservation Commission","interactions":[],"lastModifiedDate":"2018-10-23T14:57:38","indexId":"70200519","displayToPublicDate":"2017-05-01T14:57:19","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Developing an effective Agassiz's Desert Tortoise monitoring program: Final report to the Coachella Valley Conservation Commission","docAbstract":"<p>Agassiz’s desert tortoise (Gopherus agassizii) is a conservation-reliant species with populations north and west of the Colorado River protected as threatened under the Endangered Species Act (Averill-Murray et al. 2012). Since it was listed under this category in 1990, a great deal has been learned about the natural history of the species, and it is now one of the best-studied turtles in the United States (Lovich and Ennen 2013). However, the accumulated body of scientific data available for the species has not yet been translated into recovery or delisting of the species. Successful conservation of any species requires knowledge of their natural history and how vital rates affect their ability to maintain stable populations in the face of natural and anthropogenic stresses. </p><p>Agassiz’s desert tortoises occur from southwestern Utah to near the Mexican border in California – a distance of over 450 km – but population densities vary greatly across this immense landscape (U.S. Fish and Wildlife Service 2015). Tortoises occur in the Sonoran Desert of California, including the eastern and western ends of the Coachella Valley, where it is one of 27 species covered under the Coachella Valley Multiple Species Habitat Conservation Plan and Natural Community Conservation Plan (CVMSHCP/NCCP). The southern portion of Joshua Tree National Park (JTNP) lies within this 1.1 million acre planning area, and was predicted to be an area of low-density tortoise populations using habitat suitability modeling (Barrows 2011). JTNP is near the southern distributional limit of G. agassizii, yet very little has been published regarding the ecology of tortoises in the Sonoran Desert of California.</p><p>Reproductive output is an important gross measure of the ability of a population to persist. When integrated with data on fertility and survivorship, this information forms a foundation for assessing population status and formulating effective management strategies (e.g., Congdon et al. 1993, 1994), especially for imperiled species. One aspect of the biology of G. agassizii that has been particularly well-studied is reproductive output. However, most of what we know about this topic comes from research in the Mojave Desert portion of the species’ range (Ernst and Lovich 2009). Comparatively little has been published on the reproductive ecology of populations living in the Sonoran Desert ecosystem of California. Publications by Lovich et al. (1999, 2011, 2012, 2014, 2015) constitute the main body of literature on desert tortoise reproductive ecology in the Sonoran Desert of California, with one study population located at the western end of the CVMSHCP/NCCP area. Collecting data on Agassiz’s desert tortoise ecology in the Sonoran Desert ecosystem is important due to significant differences between the two adjacent desert ecosystems, especially the timing and amounts of annual precipitation, and their potential effects on reproductive output (e.g., Lovich et al. 5 2015). There are also differences in the vulnerability of tortoises to the effects of a warming, drying climate between the two deserts (Barrows 2011; Zylstra et al. 2012). </p><p>The overall goal of this study was to collect data on demography, reproductive output, and genetic affinities at a study site in the Sonoran Desert portion of JTNP in the eastern end of the CVMSHCP/NCCP area. Specific objectives included: 1) Collect data to establish baselines on tortoise populations and/or their habitat suitability in core habitat within the CVNCCP area, including biotic and abiotic variables affecting persistence of tortoise populations; 2) Compare and contrast with data collected on desert tortoises at USGS/BLM study site near Palm Springs over 16 years; 3) Support long-term modeling efforts needed to determine tortoise population viability; 4) Refine modeled relationships with identified threats such as fire, invasive species and climate change; and 5) Prioritize adaptive management needs for the desert tortoise in and beyond the CVNCCP area. The data from this study will aid in determining baseline estimates of the desert tortoise population size within the planning area as well as establish a marked population of Agassiz’s desert tortoises for future monitoring. Data will be integrated with habitat modeling in order to refine model output. Genetic data will be collected on both the north and south sides of Interstate 10 to determine the potential effects of habitat fragmentation and genetic mixing. Analyses are ongoing and results beyond those presented in this report will be published in peer-reviewed scientific journals following inclusion of additional data collected on the south side of Shavers Valley in 2017-2018. </p>","language":"English","publisher":"Coachella Valley Conservation Commission","usgsCitation":"Lovich, J.E., and Puffer, S., 2017, Developing an effective Agassiz's Desert Tortoise monitoring program: Final report to the Coachella Valley Conservation Commission, 26 p.","productDescription":"26 p.","ipdsId":"IP-088374","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":358690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358644,"type":{"id":11,"text":"Document"},"url":"https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=152890&inline"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10ac2ce4b034bf6a7e6966","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":749275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puffer, Shellie R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":193099,"corporation":false,"usgs":true,"family":"Puffer","given":"Shellie R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":749276,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70261470,"text":"70261470 - 2017 - Annual review 2016: Exploration review","interactions":[],"lastModifiedDate":"2024-12-11T16:58:29.035525","indexId":"70261470","displayToPublicDate":"2017-05-01T10:56:34","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Annual review 2016: Exploration review","docAbstract":"This summary of international mineral exploration activities for the year 2016 draws upon information from industry sources, published literature, SNL Metals & Mining (SNL), an offering of S&P Global Market Intelligence (New York, NY), and specialists in the U.S. Geological Survey (USGS) National Minerals Information Center. Three types of information are reported and analyzed in this annual review of international exploration: 1) budgetary statistics expressed in U.S. dollars provided by SNL; 2) regional and site-specific exploration activities that took place in 2016 as compiled by the USGS and 3) regional events and legislation that affected exploration activities including economic, social and political conditions, which were derived from published sources and discussions with USGS and industry specialists. Commodity and regional compilations are presented in this summary. Because multiple sources were used to develop commodity and regional compilations, statistics may vary depending on the source and type of data that are being reported.","language":"English","publisher":"Society for Mining, Metallurgy, & Exploration","usgsCitation":"Karl, N.A., and Wilburn, D.R., 2017, Annual review 2016: Exploration review: Mining Engineering, v. 69, no. 5, p. 28-49.","productDescription":"22 p.","startPage":"28","endPage":"49","ipdsId":"IP-085928","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":464992,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://me.smenet.org/abstract.cfm?preview=1&articleID=7513&page=28","linkFileType":{"id":5,"text":"html"}},{"id":465021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karl, Nick A 0000-0003-2858-2498","orcid":"https://orcid.org/0000-0003-2858-2498","contributorId":246006,"corporation":false,"usgs":true,"family":"Karl","given":"Nick","email":"","middleInitial":"A","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":920667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilburn, David R. 0000-0002-5371-7617 wilburn@usgs.gov","orcid":"https://orcid.org/0000-0002-5371-7617","contributorId":1755,"corporation":false,"usgs":true,"family":"Wilburn","given":"David","email":"wilburn@usgs.gov","middleInitial":"R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":920668,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70248093,"text":"70248093 - 2017 - Tell me a story! A plea for more compelling conference presentations","interactions":[],"lastModifiedDate":"2023-09-05T11:53:40.283936","indexId":"70248093","displayToPublicDate":"2017-05-01T06:52:52","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16694,"text":"The Condor: Ornithological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Tell me a story! A plea for more compelling conference presentations","docAbstract":"<p class=\"chapter-para\">Effective communication with other scientists is an essential component of the scientific process, underlying success in publishing papers, building collaborations, securing grants and jobs, and stimulating further research. Oral presentations at professional meetings provide an opportunity to share research findings with a relatively broad scientific audience. However, many scientists give talks that are crowded with methods and data, accompanied by poor visuals, and, most unfortunately, lacking in narrative arc. Here, I provide strategies for distilling research findings into a short-format talk, capturing the audience's attention, and delivering a compelling and visually engaging story. I argue that the material should be designed to interest a wide range of meeting attendees, not just experts in a narrow field. I also advocate principles of good storytelling, with the aim of leading the audience through a compelling journey of discovery that concludes with a memorable takeaway message.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1650/CONDOR-16-209.1","usgsCitation":"Langin, K., 2017, Tell me a story! A plea for more compelling conference presentations: The Condor: Ornithological Applications, v. 119, p. 321-326, https://doi.org/10.1650/CONDOR-16-209.1.","productDescription":"6 p.","startPage":"321","endPage":"326","ipdsId":"IP-081258","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-209.1","text":"Publisher Index Page"},{"id":420463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Langin, Kathryn 0000-0002-1799-1942 klangin@usgs.gov","orcid":"https://orcid.org/0000-0002-1799-1942","contributorId":221128,"corporation":false,"usgs":true,"family":"Langin","given":"Kathryn","email":"klangin@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881834,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192902,"text":"70192902 - 2017 - Response of fish population dynamics to mitigation activities in a large regulated river","interactions":[],"lastModifiedDate":"2017-11-08T10:13:07","indexId":"70192902","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Response of fish population dynamics to mitigation activities in a large regulated river","docAbstract":"<p><span>Extensive water development in large rivers has precipitated many negative ecological effects on native fish populations. Mitigation for such development often focuses on restoring biological integrity through remediation of the physical and chemical properties of regulated rivers. However, evaluating and defining the success of those programs can be difficult. We modeled the influence of mitigation-related environmental factors on growth and recruitment of two ecologically important native fish species (Largescale Sucker&nbsp;</span><i>Catostomus macrocheilus</i><span><span>&nbsp;</span>and Mountain Whitefish<span>&nbsp;</span></span><i>Prosopium williamsoni</i><span>) in the Kootenai River, Idaho. Artificial nutrient (phosphorus) addition best predicted the variability in annual growth of both species. Nutrient addition was positively related to Largescale Sucker growth but negatively related to Mountain Whitefish growth. The best model explained 82% of the annual variability in incremental growth for Largescale Suckers and 61% of the annual variability for Mountain Whitefish. Year-class strength of Largescale Suckers was not closely related to any of the environmental variables evaluated; however, year-class strength of Mountain Whitefish was closely associated with nutrient addition, discharge, and temperature. Most research has focused on biotic assemblages to evaluate the effects of mitigation activities on fishes, but there is an increased need to identify the influence of rehabilitation activities on fish population dynamics within those assemblages. Here, we demonstrate how fish growth can serve as an indicator of rehabilitation success in a highly regulated large river. Future fish restoration projects can likely benefit from a change in scope and from consideration of an evaluation framework involving the response of population rate functions to mitigation.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1308882","usgsCitation":"Watkins, C.J., Ross, T.J., Quist, M.C., and Hardy, R.S., 2017, Response of fish population dynamics to mitigation activities in a large regulated river: Transactions of the American Fisheries Society, v. 146, no. 4, p. 703-715, https://doi.org/10.1080/00028487.2017.1308882.","productDescription":"13 p.","startPage":"703","endPage":"715","ipdsId":"IP-079245","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.36581420898438,\n              48.59386747325061\n            ],\n            [\n              -116.04583740234374,\n              48.59386747325061\n            ],\n            [\n              -116.04583740234374,\n              48.73717255965176\n            ],\n            [\n              -116.36581420898438,\n              48.73717255965176\n            ],\n            [\n              -116.36581420898438,\n              48.59386747325061\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-11","publicationStatus":"PW","scienceBaseUri":"5a0425b8e4b0dc0b45b4537c","contributors":{"authors":[{"text":"Watkins, Carson J.","contributorId":171708,"corporation":false,"usgs":false,"family":"Watkins","given":"Carson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Tyler J.","contributorId":171777,"corporation":false,"usgs":false,"family":"Ross","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":717331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":720986,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193168,"text":"70193168 - 2017 - Achieving full connectivity of sites in the multiperiod reserve network design problem","interactions":[],"lastModifiedDate":"2017-11-20T15:32:16","indexId":"70193168","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5556,"text":"Computers & Operations Research","active":true,"publicationSubtype":{"id":10}},"title":"Achieving full connectivity of sites in the multiperiod reserve network design problem","docAbstract":"The conservation reserve design problem is a challenge to solve because of the spatial and temporal nature of the problem, uncertainties in the decision process, and the possibility of alternative conservation actions for any given land parcel. Conservation agencies tasked with reserve design may benefit from a dynamic decision system that provides tactical guidance for short-term decision opportunities while maintaining focus on a long-term objective of assembling the best set of protected areas possible. To plan cost-effective conservation over time under time-varying action costs and budget, we propose a multi-period mixed integer programming model for the budget-constrained selection of fully connected sites. The objective is to maximize a summed conservation value over all network parcels at the end of the planning horizon. The originality of this work is in achieving full spatial connectivity of the selected sites during the schedule of conservation actions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cor.2016.12.017","usgsCitation":"Jafari, N., Nuse, B.L., Moore, C.T., Dilkina, B., and Hepinstall-Cymerman, J., 2017, Achieving full connectivity of sites in the multiperiod reserve network design problem: Computers & Operations Research, v. 81, p. 119-127, https://doi.org/10.1016/j.cor.2016.12.017.","productDescription":"9 p.","startPage":"119","endPage":"127","ipdsId":"IP-064927","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236d0","contributors":{"authors":[{"text":"Jafari, Nahid","contributorId":200626,"corporation":false,"usgs":false,"family":"Jafari","given":"Nahid","email":"","affiliations":[],"preferred":false,"id":722920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nuse, Bryan L.","contributorId":200627,"corporation":false,"usgs":false,"family":"Nuse","given":"Bryan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dilkina, Bistra","contributorId":177110,"corporation":false,"usgs":false,"family":"Dilkina","given":"Bistra","affiliations":[],"preferred":false,"id":722922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hepinstall-Cymerman, Jeffrey","contributorId":51998,"corporation":false,"usgs":true,"family":"Hepinstall-Cymerman","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":722923,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193094,"text":"70193094 - 2017 - PRISM Software: Processing and Review Interface for Strong‐Motion Data","interactions":[],"lastModifiedDate":"2017-10-31T10:51:32","indexId":"70193094","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","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":"PRISM Software: Processing and Review Interface for Strong‐Motion Data","docAbstract":"<p><span>A continually increasing number of high‐quality digital strong‐motion records from stations of the National Strong Motion Project (NSMP) of the U.S. Geological Survey, as well as data from regional seismic networks within the United States, calls for automated processing of strong‐motion records with human review limited to selected significant or flagged records. The NSMP has developed the Processing and Review Interface for Strong Motion data (PRISM) software to meet this need. In combination with the Advanced National Seismic System Quake Monitoring System (AQMS), PRISM automates the processing of strong‐motion records. When used without AQMS, PRISM provides batch‐processing capabilities. The PRISM software is platform independent (coded in Java), open source, and does not depend on any closed‐source or proprietary software. The software consists of two major components: a record processing engine composed of modules for each processing step, and a review tool, which is a graphical user interface for manual review, edit, and processing. To facilitate use by non‐NSMP earthquake engineers and scientists, PRISM (both its processing engine and review tool) is easy to install and run as a stand‐alone system on common operating systems such as Linux, OS X, and Windows. PRISM was designed to be flexible and extensible to accommodate implementation of new processing techniques. All the computing features have been thoroughly tested.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160200","usgsCitation":"Jones, J.M., Kalkan, E., Stephens, C.D., and Ng, P., 2017, PRISM Software: Processing and Review Interface for Strong‐Motion Data: Seismological Research Letters, v. 88, no. 3, p. 851-866, https://doi.org/10.1785/0220160200.","productDescription":"16 p.","startPage":"851","endPage":"866","ipdsId":"IP-066608","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"59f98bb7e4b0531197af9fee","contributors":{"authors":[{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":717964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Christopher D. 0000-0003-0858-3709 cdstephens@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-3709","contributorId":2788,"corporation":false,"usgs":true,"family":"Stephens","given":"Christopher","email":"cdstephens@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ng, Peter 0000-0001-8509-5544 png@usgs.gov","orcid":"https://orcid.org/0000-0001-8509-5544","contributorId":3317,"corporation":false,"usgs":true,"family":"Ng","given":"Peter","email":"png@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":717966,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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