White-nose syndrome (WNS) is an emerging disease of hibernating bats caused by the recently described fungus Geomyces destructans. First isolated in 2008, the origins of this fungus in North America and its ability to persist in the environment remain undefined. To investigate the correlation between manifestation of WNS and distribution of G. destructans in the U.S., we analyzed sediment samples collected from 55 bat hibernacula (caves and mines) both within and outside the known range of WNS using a newly developed real-time PCR assay. Geomyces destructans was detected in 17 of 21 sites within the known range of WNS at the time the samples were collected; the fungus was not found in 28 sites beyond the known range of the disease at the time that environmental samples were collected. These data indicate that distribution of G. destructans is correlated with disease in hibernating bats and support the hypothesis that the fungus is likely an exotic species in North America. Additionally, we examined whether G. destructans persists in infested bat hibernacula when bats are absent. Sediment samples were collected from 14 WNS-positive hibernacula, and the samples were screened for viable fungus using a culture technique. Viable G. destructans was cultivated from 7 of the 14 sites sampled during late summer when bats were no longer in hibernation, suggesting the fungus can persist in the environment in the absence of bat hosts for long periods of time.
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Volcano, Hawaiʻi: 30 years of eruptive activity","docAbstract":"The Puʻu ʻŌʻō eruption of Kīlauea Volcano is its longest rift-zone eruption in more than 500 years. Since the eruption began in 1983, lava flows have buried 48 square miles (125 square kilometers) of land and added about 500 acres (200 hectares) of new land to the Island of Hawaiʻi. The eruption not only challenges local communities, which must adapt to an ever-changing and sometimes-destructive environment, but has also drawn millions of visitors to Hawaiʻi Volcanoes National Park. U.S. Geological Survey (USGS) scientists closely monitor and evaluate hazards at Hawaiʻi’s volcanoes and also work with park rangers to help ensure safe lava viewing for visitors.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123127","collaboration":"U.S. Geological Survey and the National Park Service - Our Volcanic Public Lands","usgsCitation":"Orr, T., Heliker, C., and Patrick, M.R., 2013, The ongoing Puʻu ʻŌʻō eruption of Kīlauea Volcano, Hawaiʻi: 30 years of eruptive activity: U.S. Geological Survey Fact Sheet 2012-3127, 6 p., https://doi.org/10.3133/fs20123127.","productDescription":"6 p.","additionalOnlineFiles":"N","temporalStart":"1983-01-01","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":265270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3127.gif"},{"id":265268,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3127/"},{"id":265269,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3127/fs2012-3127.pdf"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.333333,19.25 ], [ -155.333333,19.5 ], [ -154.916667,19.5 ], [ -154.916667,19.25 ], [ -155.333333,19.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e6a877e4b00c32825499eb","contributors":{"authors":[{"text":"Orr, Tim R.","contributorId":86859,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":471269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heliker, Christina","contributorId":53353,"corporation":false,"usgs":true,"family":"Heliker","given":"Christina","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":471268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":471267,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70049004,"text":"sir20135203 - 2013 - Comparison of water consumption in two riparian vegetation communities along the central Platte River, Nebraska, 2008–09 and 2011","interactions":[],"lastModifiedDate":"2014-01-02T11:46:06","indexId":"sir20135203","displayToPublicDate":"2013-01-02T11:21:11","publicationYear":"2013","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":"2013-5203","title":"Comparison of water consumption in two riparian vegetation communities along the central Platte River, Nebraska, 2008–09 and 2011","docAbstract":"The Platte River is a vital natural resource for the people, plants, and animals of Nebraska. A recent study quantified water use by riparian woodlands along central reaches of the Platte River, Nebraska, finding that water use was mainly regulated below maximum predicted levels. A comparative study was launched through a cooperative partnership between the U.S. Geological Survey, the Central Platte Natural Resources District, the Nebraska Department of Natural Resources, and the Nebraska Environmental Trust to compare water use of a riparian woodland with that of a grazed riparian grassland along the central Platte River. This report describes the results of the 3-year study by the U.S. Geological Survey to measure the evapotranspiration (ET) rates in the two riparian vegetation communities. Evapotranspiration was measured during 2008–09 and 2011 using the eddy-covariance method at a riparian woodland near Odessa, hereinafter referred to as the “woodland site,” and a riparian grassland pasture near Elm Creek, hereinafter referred to as the “grassland site.” Overall, annual ET totals at the grassland site were 90 percent of the annual ET measured at the woodland site, with averages of 653 millimeters (mm) and 726 mm, respectively. Evapotranspiration rates were similar at the grassland site and the woodland site during the spring and fall seasons, but at the woodland site ET rates were higher than those of the grassland site during the peak-growth summer months of June through August. These seasonal differences and the slightly lower ET rates at the grassland site were likely the result of differing plant communities, disturbance effects related to grazing and flooding, and climatic differences between the sites. The annual water balance was calculated for each site and indicated that the predominant factors in the water balance at both sites were ET and precipitation. Annual precipitation for the study period ranged from near to above the normal precipitation of 640 mm. Substantial precipitation fell in May and October 2008 that caused flooding along the Platte River in May of this especially wet year. There was a deficit in precipitation compared to ET at both sites in 2009 and 2011, leading to a net groundwater use of greater than 140 mm per year at the woodland site and greater than 55 mm per year at the grassland site. This indicates that the net annual groundwater use or recharge depends predominately upon the relation between ET and precipitation in these riparian areas with shallow soil layers above the groundwater table. Prior research at the woodland site provided four additional annual water balances dating back to 2002 for comparison with the study period at the woodland site. Perhaps most striking in this comparison was the 25-percent increase in annual ET for 2008–09 and 2011 despite precipitation totals and potential ET rates that were within the range of those measured in 2002–05. As a result, the water balance indicates that groundwater was discharged 2 of the 3 years of the study. This likely was caused by higher groundwater levels and a healthier plant community in 2008–09 and 2011 relative to the drought-affected years of 2002–05. As a result of these changes, the crop coefficients developed for riparian woodlands during the prior research underestimated 2008–09 and 2011 annual ET rates by an average of 35 percent. Though new crop coefficients were developed by this study, the importance of soil-moisture stress and plant community successional dynamics need to be considered when applying these coefficients at other riparian sites or into the future. Nonetheless, their development and the data on which they are based may provide improved understanding of water consumption by riparian grasslands and riparian woodlands along the central Platte River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135203","collaboration":"Prepared in cooperation with the Central Platte Natural Resources District, the Nebraska Department of Natural Resources, and the Nebraska Environmental Trust","usgsCitation":"Hall, B.M., and Rus, D.L., 2013, Comparison of water consumption in two riparian vegetation communities along the central Platte River, Nebraska, 2008–09 and 2011: U.S. Geological Survey Scientific Investigations Report 2013-5203, Report: vi, 26 p.; Downloads Directory, https://doi.org/10.3133/sir20135203.","productDescription":"Report: vi, 26 p.; Downloads Directory","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045289","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":280577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":280572,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5203/"},{"id":280575,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5203/pdf/sir2013-5203.pdf"},{"id":280576,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5203/downloads/"}],"country":"United States","state":"Nebraska","otherGeospatial":"Central Platte River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.5,40 ], [ -100.5,41.5 ], [ 98,41.5 ], [ 98,40 ], [ -100.5,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd521ee4b0b290850f4577","contributors":{"authors":[{"text":"Hall, Brent M. 0000-0003-3815-5158 bhall@usgs.gov","orcid":"https://orcid.org/0000-0003-3815-5158","contributorId":4547,"corporation":false,"usgs":true,"family":"Hall","given":"Brent","email":"bhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rus, David L. 0000-0003-3538-7826 dlrus@usgs.gov","orcid":"https://orcid.org/0000-0003-3538-7826","contributorId":881,"corporation":false,"usgs":true,"family":"Rus","given":"David","email":"dlrus@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485984,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044662,"text":"70044662 - 2013 - Mississippi River streamflow measurement techniques at St. Louis, Missouri","interactions":[],"lastModifiedDate":"2013-10-28T15:45:07","indexId":"70044662","displayToPublicDate":"2013-01-01T21:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Mississippi River streamflow measurement techniques at St. Louis, Missouri","docAbstract":"Streamflow measurement techniques of the Mississippi River at St. Louis have changed through time (1866–present). 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Leann 0000-0002-5004-5165","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":103168,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"","middleInitial":"Leann","affiliations":[],"preferred":false,"id":482313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodenstein, Barbara L. 0000-0001-7946-0103 bbodenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":4389,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara","email":"bbodenstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":482311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckner, Jennifer","contributorId":32815,"corporation":false,"usgs":true,"family":"Buckner","given":"Jennifer","affiliations":[],"preferred":false,"id":482312,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70126204,"text":"70126204 - 2013 - Methylmercury is the predominant form of mercury in bird eggs: a synthesis","interactions":[],"lastModifiedDate":"2017-07-19T15:48:25","indexId":"70126204","displayToPublicDate":"2013-01-01T18:05:24","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Methylmercury is the predominant form of mercury in bird eggs: a synthesis","docAbstract":"Bird eggs are commonly used in mercury monitoring programs to assess methylmercury contamination and toxicity to birds. However, only 6% of >200 studies investigating mercury in bird eggs have actually measured methylmercury concentrations in eggs. Instead, studies typically measure total mercury in eggs (both organic and inorganic forms of mercury), with the explicit assumption that total mercury concentrations in eggs are a reliable proxy for methylmercury concentrations in eggs. This assumption is rarely tested, but has important implications for assessing risk of mercury to birds. We conducted a detailed assessment of this assumption by (1) collecting original data to examine the relationship between total and methylmercury in eggs of two species, and (2) reviewing the published literature on mercury concentrations in bird eggs to examine whether the percentage of total mercury in the methylmercury form differed among species. Within American avocets (Recurvirostra americana) and Forster’s terns (Sterna forsteri), methylmercury concentrations were highly correlated (R2 = 0.99) with total mercury concentrations in individual eggs (range: 0.03–7.33 μg/g fww), and the regression slope (log scale) was not different from one (m = 0.992). The mean percentage of total mercury in the methylmercury form in eggs was 97% for American avocets (n = 30 eggs), 96% for Forster’s terns (n = 30 eggs), and 96% among all 22 species of birds (n = 30 estimates of species means). The percentage of total mercury in the methylmercury form ranged from 63% to 116% among individual eggs and 82% to 111% among species means, but this variation was not related to total mercury concentrations in eggs, foraging guild, nor to a species life history strategy as characterized along the precocial to altricial spectrum. Our results support the use of total mercury concentrations to estimate methylmercury concentrations in bird eggs.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es304385y","usgsCitation":"Ackerman, J., Herzog, M., and Schwarzbach, S.E., 2013, Methylmercury is the predominant form of mercury in bird eggs: a synthesis: Environmental Science & Technology, v. 47, no. 4, p. 2052-2060, https://doi.org/10.1021/es304385y.","productDescription":"9 p.","startPage":"2052","endPage":"2060","numberOfPages":"9","ipdsId":"IP-043304","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294225,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es304385y"}],"volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-01-31","publicationStatus":"PW","scienceBaseUri":"541d459fe4b0f68901ec30ca","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarzbach, Steven E. steven_schwarzbach@usgs.gov","contributorId":1025,"corporation":false,"usgs":true,"family":"Schwarzbach","given":"Steven","email":"steven_schwarzbach@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501919,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004830,"text":"70004830 - 2013 - Environmental impact of the landslides caused by the 12 May 2008, Wenchuan, China earthquake","interactions":[],"lastModifiedDate":"2018-08-15T13:43:41","indexId":"70004830","displayToPublicDate":"2013-01-01T17:07:48","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Environmental impact of the landslides caused by the 12 May 2008, Wenchuan, China earthquake","docAbstract":"The magnitude 7.9 (Mw) Wenchuan, China, earthquake of May 12, 2008 caused at least 88,000 deaths of which one third are estimated to be due to the more than 56,000 earthquake-induced landslides. The affected area is mountainous, featuring densely-vegetated, steep slopes through which narrowly confined rivers and streams flow. Numerous types of landslides occurred in the area, including rock avalanches, rock falls, translational and rotational slides, lateral spreads and debris flows. Some landslides mobilized hundreds of million cubic meters of material, often resulting in the damming of rivers and streams, impacting river ecosystems and morphology. Through an extensive search of both Chinese- and English-language publications we provide a summary of pertinent research on environmental effects, emphasizing key findings. Environmental effects caused by landslides include the alteration of agriculture, changes to natural ecosystems, changes in river morphology due to landslide dams and other effects such as sedimentation and flooding. Damage by landslides to the giant panda reserve infrastructure and habitat, was severe, threatening the survival of one of the world’s rarest species. The Panda reserves are of national significance to China, and to the vital tourism economy of the region. One of the major impacts to both the natural and built environment is the complete relocation of some human populations and infrastructure to new areas, resulting in the abandonment of towns and other areas that were damaged by the earthquake and landslides. The landslide effects have affected the biodiversity of the affected area, and it has been hypothesized that strict forest preservation measures taken in the years preceding the earthquake resulted in a reduction of the environmental damage to the area.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslide Science and Practice","language":"English","publisher":"Springer","doi":"10.1007/978-3-642-31427-8_23","usgsCitation":"Highland, L.M., and Sun, P., 2013, Environmental impact of the landslides caused by the 12 May 2008, Wenchuan, China earthquake, chap. of Landslide Science and Practice, p. 179-184, https://doi.org/10.1007/978-3-642-31427-8_23.","productDescription":"6 p.","startPage":"179","endPage":"184","ipdsId":"IP-030745","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":281066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","state":"Wenchuan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 102.8627,30.7646 ], [ 102.8627,31.7162 ], [ 103.7466,31.7162 ], [ 103.7466,30.7646 ], [ 102.8627,30.7646 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-02-06","publicationStatus":"PW","scienceBaseUri":"53cd57a6e4b0b290850f7987","contributors":{"editors":[{"text":"Margottini, Claudio","contributorId":113700,"corporation":false,"usgs":false,"family":"Margottini","given":"Claudio","email":"","affiliations":[],"preferred":false,"id":508261,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Canuti, Paolo","contributorId":114064,"corporation":false,"usgs":true,"family":"Canuti","given":"Paolo","email":"","affiliations":[],"preferred":false,"id":508262,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sassa, Kyoji","contributorId":113023,"corporation":false,"usgs":true,"family":"Sassa","given":"Kyoji","email":"","affiliations":[],"preferred":false,"id":508260,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Highland, Lynn M. highland@usgs.gov","contributorId":1292,"corporation":false,"usgs":true,"family":"Highland","given":"Lynn","email":"highland@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":351437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sun, Ping","contributorId":94215,"corporation":false,"usgs":true,"family":"Sun","given":"Ping","email":"","affiliations":[],"preferred":false,"id":351438,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047211,"text":"70047211 - 2013 - A support system for assessing local vulnerability to weather and climate","interactions":[],"lastModifiedDate":"2019-06-04T08:55:18","indexId":"70047211","displayToPublicDate":"2013-01-01T16:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"A support system for assessing local vulnerability to weather and climate","docAbstract":"The changing number and nature of weather- and climate-related natural hazards is causing more communities to need to assess their vulnerabilities. Vulnerability assessments, however, often require considerable expertise and resources that are not available or too expensive for many communities. To meet the need for an easy-to-use, cost-effective vulnerability assessment tool for communities, a prototype online vulnerability assessment support system was built and tested. This prototype tool guides users through a stakeholder-based vulnerability assessment that breaks the process into four easy-to-implement steps. Data sources are integrated in the online environment so that perceived risks—defined and prioritized qualitatively by users—can be compared and discussed against the impacts that past events have had on the community. The support system is limited in scope, and the locations of the case studies do not provide a sufficiently broad range of sample cases. The addition of more publicly available hazard databases combined with future improvements in the support system architecture and software will expand opportunities for testing and fully implementing the support system.
","language":"English","publisher":"Springer","doi":"10.1007/s11069-012-0366-3","usgsCitation":"Coletti, A., Howe, P.D., Yarnal, B., and Wood, N.J., 2013, A support system for assessing local vulnerability to weather and climate: Natural Hazards, v. 65, no. 1, p. 999-1008, https://doi.org/10.1007/s11069-012-0366-3.","productDescription":"10 p.","startPage":"999","endPage":"1008","ipdsId":"IP-040114","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":275419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-05","publicationStatus":"PW","scienceBaseUri":"51f2541ee4b0279fe2e1bfe0","contributors":{"authors":[{"text":"Coletti, Alex","contributorId":69866,"corporation":false,"usgs":true,"family":"Coletti","given":"Alex","email":"","affiliations":[],"preferred":false,"id":481407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howe, Peter D.","contributorId":60931,"corporation":false,"usgs":true,"family":"Howe","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":481406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yarnal, Brent","contributorId":31839,"corporation":false,"usgs":true,"family":"Yarnal","given":"Brent","email":"","affiliations":[],"preferred":false,"id":481405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":481404,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046903,"text":"70046903 - 2013 - New species of Parapharyngodon (Nematoda: Pharyngodonidae) in Rhinella marina (Anura: Bufonidae) from Grenada, West Indies","interactions":[],"lastModifiedDate":"2018-01-24T10:38:12","indexId":"70046903","displayToPublicDate":"2013-01-01T16:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"New species of Parapharyngodon (Nematoda: Pharyngodonidae) in Rhinella marina (Anura: Bufonidae) from Grenada, West Indies","docAbstract":"Parapharyngodon grenadaensis n. sp. (Nematoda: Pharyngodonidae) from the large intestine of the cane toad, Rhinella marina, is described and illustrated. Parapharyngodon grenadaensis n. sp. is the 48th species assigned to the genus and the 16th species from the Neotropical region. It differs from other species in the genus by possessing 4 pairs of caudal papillae, an echinate anterior cloacal lip, and a blunt spicule of 67–104 μm. This is only the second report of R. marina harboring a species of Parapharyngodon.
","language":"English","publisher":"American Society of Parasitologists","doi":"10.1645/GE-3235.1","usgsCitation":"Bursey, C., Drake, M., Cole, R., Sterner, M., Pinckney, R., and Zieger, U., 2013, New species of Parapharyngodon (Nematoda: Pharyngodonidae) in Rhinella marina (Anura: Bufonidae) from Grenada, West Indies: Journal of Parasitology, v. 99, no. 3, p. 475-479, https://doi.org/10.1645/GE-3235.1.","productDescription":"5 p.","startPage":"475","endPage":"479","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038321","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":275131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275130,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1645/GE-3235.1"}],"volume":"99","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e7bce3e4b080b82b09c65e","contributors":{"authors":[{"text":"Bursey, Charles","contributorId":62908,"corporation":false,"usgs":true,"family":"Bursey","given":"Charles","affiliations":[],"preferred":false,"id":480582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, Michael","contributorId":86249,"corporation":false,"usgs":true,"family":"Drake","given":"Michael","affiliations":[],"preferred":false,"id":480583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Rebecca 0000-0003-2923-1622","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":21389,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","affiliations":[],"preferred":false,"id":480578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sterner, Mauritz III","contributorId":53680,"corporation":false,"usgs":true,"family":"Sterner","given":"Mauritz","suffix":"III","affiliations":[],"preferred":false,"id":480580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pinckney, Rhonda","contributorId":40111,"corporation":false,"usgs":true,"family":"Pinckney","given":"Rhonda","affiliations":[],"preferred":false,"id":480579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zieger, Ulrike","contributorId":62112,"corporation":false,"usgs":true,"family":"Zieger","given":"Ulrike","affiliations":[],"preferred":false,"id":480581,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198396,"text":"70198396 - 2013 - Testing the use of microfossils to reconstruct great earthquakes at Cascadia","interactions":[],"lastModifiedDate":"2018-08-21T16:20:06","indexId":"70198396","displayToPublicDate":"2013-01-01T16:21:30","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Testing the use of microfossils to reconstruct great earthquakes at Cascadia","docAbstract":"Coastal stratigraphy from the Pacific Northwest of the United States contains evidence of sudden subsidence during ruptures of the Cascadia subduction zone. Transfer functions (empirical relationships between assemblages and elevation) can convert microfossil data into coastal subsidence estimates. Coseismic deformation models use the subsidence values to constrain earthquake magnitudes. To test the response of foraminifera, the accuracy of the transfer function method, and the presence of a pre-seismic signal, we simulated a great earthquake near Coos Bay, Oregon, by transplanting a bed of modern high salt-marsh sediment into the tidal flat, an elevation change that mimics a coseismic subsidence of 0.64 m. The transplanted bed was quickly buried by mud; after 12 mo and 5 yr, we sampled it for foraminifera. Reconstruction of the simulated coseismic subsidence using our transfer function was 0.61 m, nearly identical to the actual elevation change. Our transplant experiment, and additional analyses spanning the A.D. 1700 earthquake contact at the nearby Coquille River 15 km to the south, show that sediment mixing may explain assemblage changes previously interpreted as evidence of pre-seismic land-level change in Cascadia and elsewhere.
","language":"English","publisher":"Geological Survey of America","doi":"10.1130/G34544.1","usgsCitation":"Engelhart, S.E., Horton, B.P., Nelson, A.R., Hawkes, A.D., Witter, R., Wang, K., Wang, P., and Vane, C.H., 2013, Testing the use of microfossils to reconstruct great earthquakes at Cascadia: Geology, v. 41, no. 10, p. 1067-1070, https://doi.org/10.1130/G34544.1.","productDescription":"4 p.","startPage":"1067","endPage":"1070","ipdsId":"IP-046321","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":473983,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1285333","text":"External Repository"},{"id":356121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fd37fe4b0f5d57878edba","contributors":{"authors":[{"text":"Engelhart, S. E.","contributorId":206643,"corporation":false,"usgs":false,"family":"Engelhart","given":"S.","email":"","middleInitial":"E.","affiliations":[{"id":37366,"text":"Sea Level Reserach Dept of Geosciences U of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":741345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, B. P","contributorId":193401,"corporation":false,"usgs":false,"family":"Horton","given":"B.","email":"","middleInitial":"P","affiliations":[],"preferred":false,"id":741455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":741339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkes, A. D.","contributorId":206639,"corporation":false,"usgs":false,"family":"Hawkes","given":"A.","email":"","middleInitial":"D.","affiliations":[{"id":37362,"text":"Geography and Geology,U of North Carolina","active":true,"usgs":false}],"preferred":false,"id":741341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":741456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, K.","contributorId":206641,"corporation":false,"usgs":false,"family":"Wang","given":"K.","email":"","affiliations":[{"id":37364,"text":"Pacific Geoscience Center Geological Survery of Canada","active":true,"usgs":false}],"preferred":false,"id":741343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, P.-L.","contributorId":206642,"corporation":false,"usgs":false,"family":"Wang","given":"P.-L.","email":"","affiliations":[{"id":37365,"text":"Dept of Geosciences, National Taiwan University.","active":true,"usgs":false}],"preferred":false,"id":741344,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vane, C. H.","contributorId":206640,"corporation":false,"usgs":false,"family":"Vane","given":"C.","email":"","middleInitial":"H.","affiliations":[{"id":37363,"text":"British Geological Survey, Nottingham UK","active":true,"usgs":false}],"preferred":false,"id":741342,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70046907,"text":"70046907 - 2013 - 2011 monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park","interactions":[],"lastModifiedDate":"2018-02-21T15:38:21","indexId":"70046907","displayToPublicDate":"2013-01-01T16:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/ARD/NRR-2013/701","title":"2011 monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park","docAbstract":"No abstract available.","language":"English","publisher":"National Park Service","publisherLocation":"Denver, CO","usgsCitation":"Morris, K., Mast, A., Wetherbee, G., Baron, J., Taipale, C., Blett, T., Gay, D., and Heath, J., 2013, 2011 monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park: Natural Resource Report NPS/NRSS/ARD/NRR-2013/701, vi, 23 p.","productDescription":"vi, 23 p.","numberOfPages":"34","ipdsId":"IP-046014","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":287643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287642,"type":{"id":11,"text":"Document"},"url":"https://www.nature.nps.gov/air/pubs/pdf/rmnp-trends/rmnp-trends_2011.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.913714,40.158067 ], [ -105.913714,40.553787 ], [ -105.493583,40.553787 ], [ -105.493583,40.158067 ], [ -105.913714,40.158067 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b3e0e4b09e18fc023a04","contributors":{"authors":[{"text":"Morris, Kristi","contributorId":45197,"corporation":false,"usgs":true,"family":"Morris","given":"Kristi","affiliations":[],"preferred":false,"id":480596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, Alisa","contributorId":34002,"corporation":false,"usgs":true,"family":"Mast","given":"Alisa","affiliations":[],"preferred":false,"id":480594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wetherbee, Greg","contributorId":51617,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Greg","email":"","affiliations":[],"preferred":false,"id":480597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":480598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taipale, Curt","contributorId":86237,"corporation":false,"usgs":true,"family":"Taipale","given":"Curt","email":"","affiliations":[],"preferred":false,"id":480600,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blett, Tamara","contributorId":61070,"corporation":false,"usgs":true,"family":"Blett","given":"Tamara","affiliations":[],"preferred":false,"id":480599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gay, David","contributorId":43245,"corporation":false,"usgs":true,"family":"Gay","given":"David","affiliations":[],"preferred":false,"id":480595,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Heath, Jared","contributorId":33620,"corporation":false,"usgs":true,"family":"Heath","given":"Jared","affiliations":[],"preferred":false,"id":480593,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70074095,"text":"70074095 - 2013 - Quantifying landscape change in an arctic coastal lowland using repeat airborne LiDAR","interactions":[],"lastModifiedDate":"2018-03-29T11:16:02","indexId":"70074095","displayToPublicDate":"2013-01-01T16:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying landscape change in an arctic coastal lowland using repeat airborne LiDAR","docAbstract":"Increases in air, permafrost, and sea surface temperature, loss of sea ice, the potential for increased wave energy, and higher river discharge may all be interacting to escalate erosion of arctic coastal lowland landscapes. Here we use airborne light detection and ranging (LiDAR) data acquired in 2006 and 2010 to detect landscape change in a 100 km2 study area on the Beaufort Sea coastal plain of northern Alaska. We detected statistically significant change (99% confidence interval), defined as contiguous areas (>10 m2) that had changed in height by at least 0.55 m, in 0.3% of the study region. Erosional features indicative of ice-rich permafrost degradation were associated with ice-bonded coastal, river, and lake bluffs, frost mounds, ice wedges, and thermo-erosional gullies. These features accounted for about half of the area where vertical change was detected. Inferred thermo-denudation and thermo-abrasion of coastal and river bluffs likely accounted for the dominant permafrost-related degradational processes with respect to area (42%) and volume (51%). More than 300 thermokarst pits significantly subsided during the study period, likely as a result of storm surge flooding of low-lying tundra (<1.4 m asl) as well as the lasting impact of warm summers in the late-1980s and mid-1990s. Our results indicate that repeat airborne LiDAR can be used to detect landscape change in arctic coastal lowland regions at large spatial scales over sub-decadal time periods.
","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/8/4/045025","usgsCitation":"Jones, B.M., Stoker, J.M., Gibbs, A.E., Grosse, G., Romanovsky, V.E., Douglas, T.A., Kinsman, N.E., and Richmond, B.M., 2013, Quantifying landscape change in an arctic coastal lowland using repeat airborne LiDAR: Environmental Research Letters, v. 8, no. 4, Article 045025; 10 p., https://doi.org/10.1088/1748-9326/8/4/045025.","productDescription":"Article 045025; 10 p.","onlineOnly":"Y","ipdsId":"IP-051098","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/4/045025","text":"Publisher Index Page"},{"id":281597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -148.5,70.0 ], [ -148.5,70.5 ], [ -146.5,70.5 ], [ -146.5,70.0 ], [ -148.5,70.0 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-11-21","publicationStatus":"PW","scienceBaseUri":"53cd6ec7e4b0b29085105fdb","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":489384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":489389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":489391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romanovsky, Vladimir E.","contributorId":40113,"corporation":false,"usgs":true,"family":"Romanovsky","given":"Vladimir","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":489387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Douglas, Thomas A. 0000-0003-1314-1905","orcid":"https://orcid.org/0000-0003-1314-1905","contributorId":64553,"corporation":false,"usgs":false,"family":"Douglas","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":33087,"text":"Cold Regions Research and Engineering Laboratory","active":true,"usgs":false}],"preferred":true,"id":489388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kinsman, Nichole E.M.","contributorId":100285,"corporation":false,"usgs":true,"family":"Kinsman","given":"Nichole","email":"","middleInitial":"E.M.","affiliations":[],"preferred":false,"id":489390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489385,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70048255,"text":"70048255 - 2013 - Status of a reconnaissance field study of the Susitna basin, 2011","interactions":[],"lastModifiedDate":"2023-06-05T16:08:38.338897","indexId":"70048255","displayToPublicDate":"2013-01-01T16:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Status of a reconnaissance field study of the Susitna basin, 2011","docAbstract":"The Alaska Division of Geological & Geophysical Surveys (DGGS) and Alaska Division of Oil and Gas\n(DOG), in collaboration with the U.S. Geological Survey (USGS) performed reconnaissance field studies for ten\ndays in late June 2011, in the Susitna basin, directly north of Cook Inlet, south-central Alaska (fig. 1). The purpose\nof our investigation was to reconnoiter outcrops in the basin and along its periphery to gather new information\ntowards understanding the basin formation history and stratigraphy. This reconnaissance data represents the first\nstep toward better understanding the basin’s hydrocarbon potential, a key component of DGGS’s multi-year In-\nState Gas Program. This program is focused on collecting baseline geologic information from potential frontier\ngas basins to encourage new exploration to help, in part, reduce the high cost of energy in rural Alaska. Our work\nrepresents the first season of this three-year project. Preliminary results from year two, a companion project within\nthe Nenana and Tanana basins in interior Alaska, are described by Wartes and others (2013). DGGS plans to return\nto the Susitna basin for follow-up fieldwork during the third and final year of the program.
\nThe motivation for developing a better understanding of the Susitna basin stems from the recognition that\nthe Susitna basin shares similar age coal-bearing strata with the adjacent, petroliferous Cook Inlet forearc basin\n(Barnes, 1966; Reed and Nelson, 1980) and with exhumed strata in the Matanuska Valley forearc basin (Trop and\nothers, 2003) (figs. 1 and 2). Cook Inlet basin has eight producing oil fields, more than 25 producing gas fields,\nand likely contains many additional undiscovered oil and gas accumulations (LePain and others, in press). Most\nof the Cook Inlet gas is of microbial origin and apparently was sourced from abundant coalbeds of primarily\nMiocene age in the Tyonek, Beluga, and Sterling Formations (Claypool and others, 1980; Magoon, 1994). If the\nbiogenic gas model for Cook Inlet is applicable to the Susitna basin, then the latter may be a viable source for\nAlaska Railbelt and rural energy needs.
\nThis brief overview report summarizes the reconnaissance field data collected in the Susitna basin during the\nfirst summer of the program. As the data are developed, this report will be followed by interpretive technical reports\naddressing the stratigraphy, reservoir quality, coal quality and gas potential, hydrocarbon seal integrity, subsurface\nstructure, and uplift history of the basin and sub-basin margins.
","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","publisherLocation":"Fairbanks, AK","doi":"10.14509/25015","usgsCitation":"Gillis, R., Stanley, R.G., LePain, D., Mauel, D.J., Herriott, T., Helmold, K.P., Peterson, C.S., Wartes, M.A., and Shellenbaum, D.P., 2013, Status of a reconnaissance field study of the Susitna basin, 2011, 8 p., https://doi.org/10.14509/25015.","productDescription":"8 p.","numberOfPages":"12","ipdsId":"IP-042889","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473985,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/25015","text":"Publisher Index Page"},{"id":287641,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Susitna Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.0762,61.2797 ], [ -152.0762,62.9966 ], [ -147.3878,62.9966 ], [ -147.3878,61.2797 ], [ -152.0762,61.2797 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b401e4b09e18fc023aaa","contributors":{"authors":[{"text":"Gillis, Robert J.","contributorId":69438,"corporation":false,"usgs":true,"family":"Gillis","given":"Robert J.","affiliations":[],"preferred":false,"id":484184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":484179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LePain, David L.","contributorId":105209,"corporation":false,"usgs":true,"family":"LePain","given":"David L.","affiliations":[],"preferred":false,"id":484187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mauel, David J.","contributorId":99049,"corporation":false,"usgs":true,"family":"Mauel","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herriott, Trystan M.","contributorId":68845,"corporation":false,"usgs":true,"family":"Herriott","given":"Trystan M.","affiliations":[],"preferred":false,"id":484183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Helmold, Kenneth P.","contributorId":69456,"corporation":false,"usgs":true,"family":"Helmold","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484185,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peterson, C. Shaun","contributorId":54100,"corporation":false,"usgs":true,"family":"Peterson","given":"C.","email":"","middleInitial":"Shaun","affiliations":[],"preferred":false,"id":484182,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wartes, Marwan A.","contributorId":47476,"corporation":false,"usgs":true,"family":"Wartes","given":"Marwan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484181,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shellenbaum, Diane P.","contributorId":45225,"corporation":false,"usgs":true,"family":"Shellenbaum","given":"Diane","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484180,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70074789,"text":"70074789 - 2013 - Operational Group Sandy technical progress report","interactions":[],"lastModifiedDate":"2018-03-12T09:28:18","indexId":"70074789","displayToPublicDate":"2013-01-01T16:01:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Operational Group Sandy technical progress report","docAbstract":"Hurricane Sandy made US landfall near Atlantic City, NJ on 29 October 2012, causing 72 direct deaths, displacing thousands of individuals from damaged or destroyed dwellings, and leaving over 8.5 million homes without power across the northeast and mid-Atlantic. To coordinate federal rebuilding activities in the affected region, the President established the cabinet-level Hurricane Sandy Rebuilding Task Force (Task Force). The Task Force was charged with identifying opportunities for achieving rebuilding success while supporting economic vitality, improving public health and safety, protecting and enhancing natural and manmade infrastructure, bolstering resilience, and ensuring appropriate accountability.
\nThe Department of the Interior (DOI) Strategic Sciences Group (SSG) was established in 2012 to provide interdisciplinary science-based scenarios for environmental crises affecting Departmental resources. In January 2013, the Secretary of the Interior directed the SSG to support the Department’s participation in the Task Force. The SSG assembled a team of experts from government, academia, and non-governmental organizations – Operational Group Sandy (OGS) – to develop scenarios for the impacts of Hurricane Sandy and future major storms on coastal communities and urban systems in the New York/New Jersey region.
\nThis report documents results from the March 2013 deployment of the OGS. It includes background information on Hurricane Sandy and the federal response; the OGS methodology; scenarios for Hurricane Sandy’s impact on coastal communities and urban ecosystems; potential interventions to improve regional resilience to future major storms; a discussion of scenario results; and lessons learned about the OGS process.
","language":"English","publisher":"U.S. Department of the Interior","publisherLocation":"Reston, VA","usgsCitation":"Department of the Interior Strategic Science Group, 2013, Operational Group Sandy technical progress report, v, 75 p.","productDescription":"v, 75 p.","numberOfPages":"82","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049903","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":287638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352401,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://coastal.er.usgs.gov/hurricanes/sandy/sandy_tech_122413.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b3fae4b09e18fc023a71","contributors":{"authors":[{"text":"Department of the Interior Strategic Science Group","contributorId":127963,"corporation":true,"usgs":false,"organization":"Department of the Interior Strategic Science Group","id":535626,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047609,"text":"70047609 - 2013 - Sculpin and round goby assessment, Lake Ontario 2012","interactions":[],"lastModifiedDate":"2014-06-20T14:19:45","indexId":"70047609","displayToPublicDate":"2013-01-01T15:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Sculpin and round goby assessment, Lake Ontario 2012","docAbstract":"Historically slimy sculpin Cottus cognatus were the most abundant native, benthic prey fish in\nLake Ontario and important prey for juvenile lake trout. Over the past 34 years, slimy sculpin\nabundance has fluctuated, but generally decreased, with a substantial decline occurring in the\npast 10 years. The 2012 slimy sculpin mean density (0.005 ind.·m-2, sd=0.012, n=62) and mean\nbiomass density (0.058 g·m-2 , s.d= 0.120, n=62) were the lowest recorded in the 27 years of\nsampling using the original bottom trawl design. An absence of slimy sculpin less than 50mm\n(age-0) in the past 10 years suggests population declines are the result of reduced recruitment\npotentially due to predation or reduced reproductive effort. Over the entire time series, the depth\nof maximum slimy sculpin abundance has steadily increased from 65m to 125m. Depthassociated\nsculpin behavior may be a result of water clarity changes that intensify predation risk\nat shallower depths or a food related response where sculpin have moved deeper to habitats that\nstill support low densities of Diporeia, a favored food source. In the fall of 2012, round goby\ndensity (0.526 individuals·m-2) was two orders of magnitude greater than slimy sculpin,\nsuggesting round goby are now the dominant benthic prey fish in Lake Ontario. Invasive\nspecies, piscivory, and declines in native benthic invertebrates are likely important drivers of\nslimy sculpin population dynamics.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2012 Annual Report","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"New York State Department of Environmental Conservation","publisherLocation":"Albany, NY","usgsCitation":"Weidel, B., Walsh, M.G., and Connerton, M., 2013, Sculpin and round goby assessment, Lake Ontario 2012, 10 p.","productDescription":"10 p.","startPage":"15","endPage":"24","numberOfPages":"10","ipdsId":"IP-044482","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":287709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Ontario","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.8979,43.1664 ], [ -79.8979,44.2583 ], [ -76.0362,44.2583 ], [ -76.0362,43.1664 ], [ -79.8979,43.1664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870571e4b0aa26cd7b53ef","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":482518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Maureen G.","contributorId":92506,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":482520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connerton, M.J.","contributorId":71084,"corporation":false,"usgs":true,"family":"Connerton","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":482519,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047943,"text":"70047943 - 2013 - Importance of floodplain connectivity to fish populations in the Apalachicola River, Florida","interactions":[],"lastModifiedDate":"2013-08-30T15:58:50","indexId":"70047943","displayToPublicDate":"2013-01-01T15:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Importance of floodplain connectivity to fish populations in the Apalachicola River, Florida","docAbstract":"Floodplain habitats provide critical spawning and rearing habitats for many large-river fishes. The paradigm that floodplains are essential habitats is often a key reason for restoring altered rivers to natural flow regimes. However, few studies have documented spatial and temporal utilization of floodplain habitats by adult fish of sport or commercial management interest or assessed obligatory access to floodplain habitats for species' persistence. In this study, we applied telemetry techniques to examine adult fish movements between floodplain and mainstem habitats, paired with intensive light trap sampling of larval fish in these same habitats, to assess the relationships between riverine flows and fish movement and spawning patterns in restored and unmodified floodplain distributaries of the Apalachicola River, Florida. Our intent is to inform resource managers on the relationships between the timing, magnitude and duration of flow events and fish spawning as part of river management actions. Our results demonstrate spawning by all study species in floodplain and mainstem river habitat types, apparent migratory movements of some species between these habitats, and distinct spawning events for each study species on the basis of fish movement patterns and light trap catches. Additionally, Micropterus spp., Lepomis spp. and, to a lesser degree, Minytrema melanops used floodplain channel habitat that was experimentally reconnected to the mainstem within a few weeks of completing the restoration. This result is of interest to managers assessing restoration activities to reconnect these habitats as part of riverine restoration programmes globally.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons, Ltd.","doi":"10.1002/rra.2567","usgsCitation":"Burgess, O., Pine, W., and Walsh, S., 2013, Importance of floodplain connectivity to fish populations in the Apalachicola River, Florida: River Research and Applications, v. 29, no. 6, p. 718-733, https://doi.org/10.1002/rra.2567.","productDescription":"16 p.","startPage":"718","endPage":"733","ipdsId":"IP-036075","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473987,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.2567","text":"Publisher Index Page"},{"id":277219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277218,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.2567"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.63,24.52 ], [ -87.63,31.0 ], [ -80.03,31.0 ], [ -80.03,24.52 ], [ -87.63,24.52 ] ] ] } } ] }","volume":"29","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-03-09","publicationStatus":"PW","scienceBaseUri":"5221bee5e4b001cbb8a34f09","contributors":{"authors":[{"text":"Burgess, O.T.","contributorId":43661,"corporation":false,"usgs":true,"family":"Burgess","given":"O.T.","email":"","affiliations":[],"preferred":false,"id":483350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pine, William E. III","contributorId":56759,"corporation":false,"usgs":true,"family":"Pine","given":"William E.","suffix":"III","affiliations":[],"preferred":false,"id":483351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, S. J. 0000-0002-1009-8537","orcid":"https://orcid.org/0000-0002-1009-8537","contributorId":62171,"corporation":false,"usgs":true,"family":"Walsh","given":"S. J.","affiliations":[],"preferred":false,"id":483352,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048984,"text":"gip154 - 2013 - Seafloor off Natural Bridges State Beach, Santa Cruz, California","interactions":[],"lastModifiedDate":"2014-03-25T07:42:19","indexId":"gip154","displayToPublicDate":"2013-01-01T15:47:00","publicationYear":"2013","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":"154","title":"Seafloor off Natural Bridges State Beach, Santa Cruz, California","docAbstract":"The seafloor off Natural Bridges State Beach, Santa Cruz, \nCalifornia, is extremely varied, with sandy flats, boulder fields, \nfaults, and complex bedrock ridges. These ridges support rich \nmarine ecosystems; some of them form the \"reefs\" that \nproduce world-class surf breaks. Colors indicate seafloor \ndepth, from red-orange (about 2 meters or 7 feet) to magenta \n(25 meters or 82 feet).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip154","usgsCitation":"Storlazzi, C., Golden, N., and Gibbons, H., 2013, Seafloor off Natural Bridges State Beach, Santa Cruz, California: U.S. Geological Survey General Information Product 154, Postcard, https://doi.org/10.3133/gip154.","productDescription":"Postcard","additionalOnlineFiles":"N","ipdsId":"IP-045204","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":283192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/GIP154.jpg"},{"id":284423,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0154/report.pdf"}],"country":"United States","state":"California","city":"Santa Cruz","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.075266,36.936090 ], [ -122.075266,36.949086 ], [ -122.036371,36.949086 ], [ -122.036371,36.936090 ], [ -122.075266,36.936090 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd71a1e4b0b29085107cbe","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":485930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golden, Nadine E. ngolden@usgs.gov","contributorId":1980,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine E.","email":"ngolden@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":485929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbons, Helen hgibbons@usgs.gov","contributorId":912,"corporation":false,"usgs":true,"family":"Gibbons","given":"Helen","email":"hgibbons@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":485928,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70100648,"text":"70100648 - 2013 - Dispersal of fine sediment in nearshore coastal waters","interactions":[],"lastModifiedDate":"2014-04-04T15:42:01","indexId":"70100648","displayToPublicDate":"2013-01-01T15:40:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Dispersal of fine sediment in nearshore coastal waters","docAbstract":"Fine sediment (silt and clay) plays an important role in the physical, ecological, and environmental conditions of coastal systems, yet little is known about the dispersal and fate of fine sediment across coastal margin settings outside of river mouths. Here I provide simple physical scaling and detailed monitoring of a beach nourishment project near Imperial Beach, California, with a high portion of fines (40% silt and clay by weight). These results provide insights into the pathways and residence times of fine sediment transport across a wave-dominated coastal margin. Monitoring of the project used physical, optical, acoustic, and remote sensing techniques to track the fine portion of the nourishment sediment. The initial transport of fine sediment from the beach was influenced strongly by longshore currents of the surf zone that were established in response to the approach angles of the waves. The mean residence time of fine sediment in the surf zone—once it was suspended—was approximately 1 hour, and rapid decreases in surf zone fine sediment concentrations along the beach resulted from mixing and offshore transport in turbid rip heads. For example, during a day with oblique wave directions and surf zone longshore currents of approximately 25 cm/s, the offshore losses of fine sediment in rips resulted in a 95% reduction in alongshore surf zone fine sediment flux within 1 km of the nourishment site. However, because of the direct placement of nourishment sediment on the beach, fine suspended-sediment concentrations in the swash zone remained elevated for several days after nourishment, while fine sediment was winnowed from the beach. Once offshore of the surf zone, fine sediment settled downward in the water column and was observed to transport along and across the inner shelf. Vertically sheared currents influenced the directions and rates of fine sediment transport on the shelf. Sedimentation of fine sediment was greatest on the seafloor directly offshore of the nourishment site. However, a mass balance of sediment suggests that the majority of the fine sediment moved far away (over 2 km) from the nourishment site or to water depths greater than 10 m, where fine sediment represents a substantial portion of the bed material. Thus, the fate of fine sediment in nearshore waters was influenced strongly by wave conditions, surf zone and rip current transport, and the vertical density and flow conditions of coastal waters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-12-00087.1","usgsCitation":"Warrick, J., 2013, Dispersal of fine sediment in nearshore coastal waters: Journal of Coastal Research, v. 29, no. 3, p. 579-596, https://doi.org/10.2112/JCOASTRES-D-12-00087.1.","productDescription":"18 p.","startPage":"579","endPage":"596","numberOfPages":"18","ipdsId":"IP-034702","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":285753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285752,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/JCOASTRES-D-12-00087.1"}],"volume":"29","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53559007e4b0120853e8bed6","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":48255,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","affiliations":[],"preferred":false,"id":492382,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70043344,"text":"70043344 - 2013 - Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052","interactions":[],"lastModifiedDate":"2021-03-04T14:44:57.232009","indexId":"70043344","displayToPublicDate":"2013-01-01T15:36:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":272,"text":"National Park Service Natural Resource Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/WICA/NRTRT--2013/681","title":"Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052","docAbstract":"The effects of climate change on the natural resources protected by Parks will likely be substantial, but geographically variable, due to local variation in climate trajectories and differences among ecosystems in their vulnerability to climate change. The projections of general circulation models (GCMs) indicate the possible magnitude and direction of future climate change for a region, but the utility of these projections for more local scales, those of individual National Park Service (NPS) units, are more uncertain because the coarse-scale GCMs lack much of the topographic detail that alters local climates. In addition, complex, interacting effects of temperature, precipitation, atmospheric CO2 concentrations, fire, and herbivores on the vegetation that is the foundational natural resource of many NPS units present challenges in assessing the effects of projected future climates on plant and animal assemblages managed by the NPS.
\nIn spring 2009, Wind Cave National Park (WICA) served as a case study in a workshop assessing the use of scenario planning as a tool for park management planning in the face of rapidly changing climate. One outcome of the workshop was the recognized need for quantitative models to better understand the range of possible vegetation changes under different future climates and management decisions. This report addresses this need; it describes our adaptation of a dynamic global vegetation model (DGVM) to WICA vegetation and the resulting projections of future vegetation under three future climate scenarios and 11 management scenarios determined by Park natural resource managers.
\nWind Cave National Park lies along a narrow transition zone between the ponderosa pine (Pinus ponderosa) forests of the Black Hills and the mixed grass prairie that once extended with few interruptions over the lower, gentler terrain, subject to warmer, drier climate to the east and south of the Park. The location and character of this transition is strongly influenced by fire frequency and intensity (Brown and Sieg 1999). Furthermore, the mixed grass prairie occupies a broader transition zone between eastern tallgrass prairie and the shortgrass prairie of the western Great Plains. The dominance of species characteristic of these two prairie types varies with soil moisture availability, evaporative demand, and recent grazing history (Cogan et al. 1999). In addition, Wind Cave lies near the midpoint of a long gradient of C3 (cool season) grass dominance to the north and C4 (warm season) grass dominance to the south.
\nThe ecotonal position of WICA may make it particularly sensitive to climate change. For example, small changes in fire frequency and/or intensity and the vigor of trees vs. grass could dramatically shift the proportions of these two lifeforms. The Park hydrology is also sensitive to changes in the balance between infiltration of precipitation and evapotranspiration, as on average, only a small fraction of annual precipitation reaches the deeper soil layers that feed permanent streamflow. The resources at risk at Wind Cave NP include the Cave itself, as well as small backcountry caves, a genetically important bison herd, and other prairie species including the black-tailed prairie dog and endangered black-footed ferrets. All of these resources will be directly affected by climate change impacts on vegetation and hydrology.
\nNatural resource management challenges at WICA are substantial, diverse, and intertwined. Aboveground, the park has been recognized as exemplary for its high quality vegetation (Marriot et al. 1999), though the park is relatively small for the diversity of vegetation types and species that it supports. Even without a changing climate, maintaining the integrity of the plant communities is complicated by the park’s legislated responsibility to maintain viable populations of bison, elk and pronghorn. In addition, the federally endangered black-footed ferret was recently re-introduced to the park. This species requires large extents of prairie dog towns for prey and habitat. Prairie dogs impact vegetation by constant clipping, grazing and soil disturbance, thereby affecting plant composition and productivity. Moreover, naturally high interannual climate variability and the strong influence of precipitation on grass productivity in this region combine to yield high interannual variability in the amount of forage available for the wildlife that the park is tasked to maintain. Finally, fire, which is now primarily controlled by WICA and NPS Northern Great Plains fire management programs, is intertwined with all other natural resource issues at WICA, as it can impact prairie dog colony and forest expansion, ungulate foraging behavior, invasive plant species, and hydrological processes.
\nAlthough not capable of capturing all of these complexities, dynamic vegetation models do provide a means for quantitatively projecting vegetation futures in future climates under plausible fire and grazing regimes. Our work uses the DGVM MC1 to simulate the effects of future climate projections and management practices on the vegetation of WICA. MC1 is designed to project potential vegetation as influenced by natural processes and hence is appropriate for national parks, where conservation of native biota and ecosystems is of great importance.
\nSince the initial application of MC1 to a small portion of WICA (Bachelet et al. 2000), the model has been altered to improve model performance with the inclusion of dynamic fire. Applying this improved version to WICA required substantial recalibration, during which we have made a number of improvements to MC1 that will be incorporated as permanent changes. In this report we document these changes and our calibration procedure following a brief overview of the model. We compare the projections of current vegetation to the current state of the park and present projections of vegetation dynamics under future climates downscaled from three GCMs selected to represent the existing range in available GCM projections. In doing so, we examine the consequences of different management options regarding fire and grazing, major aspects of biotic management at Wind Cave.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"King, D.A., Bachelet, D.M., and Symstad, A., 2013, Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052: National Park Service Natural Resource Technical Report NPS/WICA/NRTRT--2013/681, x, 58 p.","productDescription":"x, 58 p.","numberOfPages":"73","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041469","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":275526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383826,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2192953"}],"country":"United States","state":"South Dakota","otherGeospatial":"Wind Cave National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.550635,43.497251 ], [ -103.550635,43.640543 ], [ -103.337034,43.640543 ], [ -103.337034,43.497251 ], [ -103.550635,43.497251 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f78eede4b02e26443a93d4","contributors":{"authors":[{"text":"King, David A.","contributorId":7160,"corporation":false,"usgs":true,"family":"King","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachelet, Dominique M.","contributorId":89042,"corporation":false,"usgs":true,"family":"Bachelet","given":"Dominique","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":473449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy J.","contributorId":11721,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy J.","affiliations":[],"preferred":false,"id":473448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047942,"text":"70047942 - 2013 - Coral diseases cause reef decline","interactions":[],"lastModifiedDate":"2013-08-30T15:35:04","indexId":"70047942","displayToPublicDate":"2013-01-01T15:33:18","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Coral diseases cause reef decline","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AAAS","doi":"10.1126/science.340.6140.1522-a","usgsCitation":"Rogers, C.S., and Miller, J., 2013, Coral diseases cause reef decline: Science, v. 340, no. 6140, p. 1522-1522, https://doi.org/10.1126/science.340.6140.1522-a.","productDescription":"1 p.","startPage":"1522","endPage":"1522","ipdsId":"IP-045791","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":277214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277213,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.340.6140.1522-a"}],"volume":"340","issue":"6140","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5221bee1e4b001cbb8a34ecf","contributors":{"authors":[{"text":"Rogers, Caroline S. 0000-0001-9056-6961 caroline_rogers@usgs.gov","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":3126,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","email":"caroline_rogers@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":483348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Jeff","contributorId":46400,"corporation":false,"usgs":true,"family":"Miller","given":"Jeff","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":483349,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70095609,"text":"70095609 - 2013 - Mount Rainier National Park and Olympic National Park elk monitoring program annual report 2011","interactions":[],"lastModifiedDate":"2014-05-27T15:47:32","indexId":"70095609","displayToPublicDate":"2013-01-01T15:28:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":52,"text":"Natural Resource Data Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NCCN/NRDS-2013/437","title":"Mount Rainier National Park and Olympic National Park elk monitoring program annual report 2011","docAbstract":"Fiscal year 2011 was the first year of implementing an approved elk monitoring protocol in \nMount Rainier (MORA) and Olympic (OLYM) National Parks in the North Coast and Cascades \nNetwork (NCCN) (Griffin et al. 2012). However, it was the fourth and second year of gathering \ndata according to protocol in MORA and OLYM respectively; data gathered during the protocol \ndevelopment phase followed procedures that are laid out in the protocol. Elk monitoring in these \nlarge wilderness parks relies on aerial surveys from a helicopter. Summer surveys are intended to \nprovide quantitative estimates of abundance, sex and age composition, and distribution of \nmigratory elk in high elevation trend count areas.
\nAn unknown number of elk is not detected during surveys; however the protocol estimates the \nnumber of missed elk by applying a model that accounts for detection bias. Detection bias in elk \nsurveys in MORA is estimated using a double-observer sightability model that was developed \nusing survey data from 2008-2010 (Griffin et al. 2012). That model was developed using elk that \nwere previously equipped with radio collars by cooperating tribes. At the onset of protocol \ndevelopment in OLYM there were no existing radio-collars on elk. Consequently the majority of \nthe effort in OLYM in the past 4 years has been focused on capturing and radio-collaring elk and \nconducting sightability trials needed to develop a double-observer sightability model in OLYM. \nIn this annual report we provide estimates of abundance and composition for MORA elk, raw \ncounts of elk made in OLYM, and describe sightability trials conducted in OLYM.
\nAt MORA the North trend count area was surveyed twice and the South once (North Rainier \nherd, and South Rainier herd). We counted 373 and 267 elk during two replicate surveys of the \nNorth Rainier herd, and 535 elk in the South Rainier herd. Using the model, we estimated that \n413 and 320 elk were in the North and 652 elk were in the South trend count areas during the \ntime of the respective surveys.
\nAt OLYM, the Core and Northwest trend count areas were completely surveyed, as were \nportions of the Quinault. In addition, we surveyed 10 survey units specifically to get resight data. \nTwo-hundred and forty eight elk were counted in the Core, 19 in the Northwest, and 169 in the \nQuinault. We conducted double-observer sightability trials associated with 14 collared elk \ngroups for use in developing the double-observer sightability model for OLYM.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Happe, P.J., Reid, M., Griffin, P., Jenkins, K.J., Vales, D.J., Moeller, B.J., Tirhi, M., and McCorquodale, S., 2013, Mount Rainier National Park and Olympic National Park elk monitoring program annual report 2011: Natural Resource Data Series NPS/NCCN/NRDS-2013/437, ix, 21 p.","productDescription":"ix, 21 p.","numberOfPages":"34","ipdsId":"IP-043404","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":287636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287635,"type":{"id":15,"text":"Index Page"},"url":"https://data.doi.gov/dataset/mount-rainier-national-park-and-olympic-national-park-elk-monitoring-program-annual-report-5c94a"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.921037,46.707817 ], [ -121.921037,47.001077 ], [ -121.442875,47.001077 ], [ -121.442875,46.707817 ], [ -121.921037,46.707817 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b3f9e4b09e18fc023a6a","contributors":{"authors":[{"text":"Happe, Patricia J.","contributorId":50983,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":16133,"text":"National Park Service, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":491317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Mason","contributorId":51639,"corporation":false,"usgs":true,"family":"Reid","given":"Mason","affiliations":[],"preferred":false,"id":491318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffin, Paul C.","contributorId":7802,"corporation":false,"usgs":true,"family":"Griffin","given":"Paul C.","affiliations":[],"preferred":false,"id":491314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":491313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vales, David J.","contributorId":74662,"corporation":false,"usgs":true,"family":"Vales","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":491319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moeller, Barbara J.","contributorId":87446,"corporation":false,"usgs":true,"family":"Moeller","given":"Barbara","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":491320,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tirhi, Michelle","contributorId":28168,"corporation":false,"usgs":false,"family":"Tirhi","given":"Michelle","affiliations":[{"id":13269,"text":"Washington Department of Fish & Wildlife","active":true,"usgs":false}],"preferred":false,"id":491315,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCorquodale, Scott","contributorId":28515,"corporation":false,"usgs":true,"family":"McCorquodale","given":"Scott","affiliations":[],"preferred":false,"id":491316,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70046960,"text":"70046960 - 2013 - Identification of metrics to monitor salt marsh integrity on National Wildlife Refuges in relation to conservation and management objectives","interactions":[],"lastModifiedDate":"2016-08-10T15:52:10","indexId":"70046960","displayToPublicDate":"2013-01-01T15:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Identification of metrics to monitor salt marsh integrity on National Wildlife Refuges in relation to conservation and management objectives","docAbstract":"Most salt marshes in the US have been degraded by human activities, and threats from physical alterations, surrounding land-use, species invasions, and global climate change persist. Salt marshes are unique and highly productive ecosystems with high intrinsic value to wildlife, and many National Wildlife Refuges (NWRs) have been established in coastal areas to protect large tracts of salt marsh and wetland-dependent species. Various management practices are employed routinely on coastal NWRs to restore and enhance marsh integrity and ensure ecosystem sustainability. Prioritizing NWR salt marshes for application of management actions and choosing among multiple management options requires scientifically-based methods for assessing marsh condition.
\nMonitoring is integral to structured decision-making (SDM), a formal process for decomposing a decision into its essential elements. Within a natural resource context, SDM involves identifying management objectives, alternative management actions, and expected management outcomes. The core of SDM is a set of criteria for measuring system performance and evaluating management responses. Therefore, use of SDM to frame natural resource decisions leads to logical selection of monitoring attributes that are linked explicitly to management needs.
\nWe used SDM to guide selection of variables for monitoring the ecological integrity of salt marshes within the National Wildlife Refuge System (NWRS). Our objectives were to identify indicators of salt marsh integrity that are effective across large geographic regions, responsive to a wide range of threats, and feasible to implement within funding and staffing constraints of the NWRS. In April, 2008, we engaged interdisciplinary experts in a week-long rapid prototyping SDM workshop to define the essential elements of salt marsh management decisions on refuges throughout the northeastern, southwestern, and northwestern US, corresponding to respective Regions 5, 2, and 1 of the US Fish and Wildlife Service (FWS). Through this process we identified measurable attributes for monitoring salt marsh ecosystems that are integrated into conservation practice and target management objectives.
\nThe following salt marsh attributes were identified through the SDM process either for describing state condition to determine management needs or for evaluating the achievement of management objectives: historical condition and geomorphic setting; ditch density; surrounding land use; ratio of open water area to vegetation area; rate of pesticide application; environmental contaminant concentration; change in marsh surface elevation relative to sea level rise; tidal range and groundwater level; surface topography; salinity; and species composition and abundance of vegetation, invasive species, invertebrates, nekton, and breeding and wintering birds.
\nThe identified attributes were too broadly defined to serve as operational monitoring variables. Therefore, we tested specific metrics for quantifying most of these attributes in summers of 2008 and 2009. The first four attributes in the above list can be characterized by office-based analysis of existing GIS data layers. The remaining attributes require field-based methods for assessment. We were forced to exclude a small number of attributes from field tests due to inconsistent data (pesticide application rate, environmental contaminant concentrations) or requirements that exceeded the scope of this project (change in marsh surface elevation; surface topography; benthic invertebrates; wintering birds). We evaluated potential metrics for evaluating all remaining field attributes.
\nIn partnership with NWRS biologists, we tested rapid versus intensive metrics for monitoring field attributes (tidal range and groundwater level; marsh surface elevation; salinity; and species composition and abundance of vegetation, invasive species, nekton, and breeding birds) at coastal refuges throughout FWS Region 5. Seven refuges participated in metric testing in 2008: Rachel Carson (ME), Parker River (MA), Wertheim (NY), E. B. Forsythe (NJ), Bombay Hook (DE), Prime Hook (DE), and Eastern Shore of Virginia Complex (VA). These seven and two additional refuges participated in metric testing in 2009: Rhode Island Complex (RI) and Stewart B. McKinney (CT). We based all field metrics on existing protocols for salt marsh assessment. Sampling locations were determined randomly within delineated marsh study units (MSUs) at each refuge. Detailed field methods are provided in appendices to this report.
\nMeasurements for individual metrics were averaged across samples within MSUs during each year of sampling. Each year, correlation or regression analysis was conducted on average measurements across MSUs within each attribute set to identify redundant metrics. Statistical redundancy between a pair of metrics within an attribute set (i.e., correlation or regression slopes with p-values < 0.05) was considered justification for eliminating one of the pair from the regional set of monitoring metrics. Decisions regarding metric elimination versus retention were based on feasibility of monitoring, considering such factors as sampling time, resources required, and potential for regional standardization in implementation.
\nThe result of these tests is a reduced suite of monitoring metrics that targets NWRS management decisions and is practicable for implementing on a regional scale. Based on these tests, we recommend the following list of metrics for monitoring integrity of NWRS salt marshes (marsh attribute category is in parentheses): (historical condition and geomorphic setting) position of marsh in the landscape, marsh shape, degree of fill and/or fragmentation, degree of tidal flushing, amount of aquatic edge; (ditch density) ranking of ditch density from none to severe; (surrounding land use) relative proportion of agricultural land in a 150-m buffer around the marsh, relative proportion of natural land in a 150-m buffer around the marsh, relative proportion of natural land in a 1-km buffer around the marsh; (ratio of open water area to vegetation area) ratio of open water to emergent herbaceous wetlands within the marsh; (marsh surface elevation) elevation referenced to NAVD88 in a representative area of the marsh; (tidal range and groundwater level) percent of time the marsh surface is flooded during deployment of a continuous water-level monitor at a representative marsh location, mean depth of surface flooding as measured by a continuous water-level monitor at a representative location; (salinity) salinity measured in surface water; (vegetation community) vegetation species richness using the point-intercept method in 100-m diameter survey plots, percent cover of various marsh community types within 100-m diameter survey plots; (invasive species abundance) percent cover of invasive plant species measured using the point-intercept method in 100-m diameter survey plots; (nekton community) nekton density, nekton species richness, length of Fundulus heteroclitus; (breeding bird community) abundance of Willets counted per point during standard call-broadcast surveys, summed abundance of tidal marsh obligate species (Clapper Rail, Willet, Saltmarsh Sparrow, Seaside Sparrow) counted per point during standard call-broadcast surveys. Metrics describing the historical condition, geomorphic setting, and broad landscape features can be assessed using existing GIS databases. Our results support use of rapid methods to assess the majority of field metrics; only those used to describe the nekton community must be measured using intensive methods (throw traps or ditch nets, dependant on habitat configuration).
\nImplementation of these metrics for quantitative assessment of NWRS salt marsh integrity in FWS Region 5 requires developing sampling designs for each refuge. Additionally, it is important to determine how the monitoring information will be used within a management context. SDM should be used to complete the analysis of salt marsh management decisions. The next steps would involve 1) prioritizing and weighting the management objectives; 2) predicting responses to individual management actions in terms of objectives and metrics; 3) using multiattribute utility theory to convert all measurable attributes to a common utility scale; 4) determining the total management benefit of each action by summing utilities across objectives; and 5) maximizing the total management benefits within cost constraints for each refuge. This process would allow the optimum management decisions for NWRS salt marshes to be selected and implemented based directly on monitoring data and current understanding of marsh responses to management actions. Monitoring the outcome of management actions would then allow new monitoring data to be incorporated into subsequent decisions.
","language":"English","publisher":"U.S. Geological Survey","collaboration":"Report submitted to U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA","usgsCitation":"Neckles, H.A., Guntenspergen, G.R., Shriver, W.G., Danz, N.P., Wiest, W.A., Nagel, J.L., and Olker, J., 2013, Identification of metrics to monitor salt marsh integrity on National Wildlife Refuges in relation to conservation and management objectives, x, 226 p.","productDescription":"x, 226 p.","numberOfPages":"240","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043211","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":286296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326161,"type":{"id":11,"text":"Document"},"url":"https://www.pwrc.usgs.gov/prodabs/pubpdfs/7828_Neckles.pdf","text":"Report","size":"21.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Connecticut, Delaware, Maine, Massachusetts, New Jersey, New York, Rhode Island, Virginia","otherGeospatial":"Bombay Hook National Wildlife Refuge, Eastern Shore of Virginia National Wildlife Refuge Complex, E. 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hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":480707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":480706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shriver, W. George","contributorId":97424,"corporation":false,"usgs":true,"family":"Shriver","given":"W.","email":"","middleInitial":"George","affiliations":[],"preferred":false,"id":480712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danz, Nicholas P.","contributorId":40898,"corporation":false,"usgs":true,"family":"Danz","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":480709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiest, Whitney A.","contributorId":96589,"corporation":false,"usgs":true,"family":"Wiest","given":"Whitney","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":480708,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olker, Jennifer H.","contributorId":80187,"corporation":false,"usgs":true,"family":"Olker","given":"Jennifer H.","affiliations":[],"preferred":false,"id":480710,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70048985,"text":"gip153 - 2013 - Seafloor off Lighthouse Point Park, Santa Cruz, California","interactions":[],"lastModifiedDate":"2014-03-25T07:41:07","indexId":"gip153","displayToPublicDate":"2013-01-01T15:19:00","publicationYear":"2013","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":"153","title":"Seafloor off Lighthouse Point Park, Santa Cruz, California","docAbstract":"The seafloor off Lighthouse Point Park, Santa Cruz, California, \nis extremely varied, with sandy flats, boulder fields, faults, \nand complex bedrock ridges. These ridges support rich \nmarine ecosystems; some of them form the \"reefs\" that \nproduce world-class surf breaks. Colors indicate seafloor \ndepth, from red-orange (about 2 meters or 7 feet) to magenta \n(25 meters or 82 feet).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip153","usgsCitation":"Storlazzi, C., Golden, N., and Gibbons, H., 2013, Seafloor off Lighthouse Point Park, Santa Cruz, California: U.S. Geological Survey General Information Product 153, Postcard, https://doi.org/10.3133/gip153.","productDescription":"Postcard","ipdsId":"IP-045203","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":284421,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0153/report.pdf"},{"id":283187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip153.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lighthouse Point Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0405592726,36.9462484451 ], [ -122.0405592726,36.9528317072 ], [ -122.0241775862,36.9528317072 ], [ -122.0241775862,36.9462484451 ], [ -122.0405592726,36.9462484451 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd71a1e4b0b29085107cbc","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":485933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golden, Nadine E. ngolden@usgs.gov","contributorId":1980,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine E.","email":"ngolden@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":485932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbons, Helen hgibbons@usgs.gov","contributorId":912,"corporation":false,"usgs":true,"family":"Gibbons","given":"Helen","email":"hgibbons@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":485931,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70058718,"text":"70058718 - 2013 - GEM Building Taxonomy (Version 2.0)","interactions":[],"lastModifiedDate":"2014-04-14T16:05:45","indexId":"70058718","displayToPublicDate":"2013-01-01T15:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":253,"text":"GEM Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"2013-02","title":"GEM Building Taxonomy (Version 2.0)","docAbstract":"This report documents the development and applications of the Building Taxonomy for the Global Earthquake Model (GEM). The purpose of the GEM Building Taxonomy is to describe and classify buildings in a uniform manner as a key step towards assessing their seismic risk, Criteria for development of the GEM Building Taxonomy were that the Taxonomy be relevant to seismic performance of different construction types; be comprehensive yet simple; be collapsible; adhere to principles that are familiar to the range of users; and ultimately be extensible to non-buildings and other hazards. The taxonomy was developed in conjunction with other GEM researchers and builds on the knowledge base from other taxonomies, including the EERI and IAEE World Housing Encyclopedia, PAGER-STR, and HAZUS.
\nThe taxonomy is organized as a series of expandable tables, which contain information pertaining to various building attributes. Each attribute describes a specific characteristic of an individual building or a class of buildings that could potentially affect their seismic performance. The following 13 attributes have been included in the GEM Building Taxonomy Version 2.0 (v2.0): 1.) direction, 2.)material of the lateral load-resisting system, 3.) lateral load-resisting system, 4.) height, 5.) date of construction of retrofit, 6.) occupancy, 7.) building position within a block, 8.) shape of the building plan, 9.) structural irregularity, 10.) exterior walls, 11.) roof, 12.) floor, 13.) foundation system.
\nThe report illustrates the pratical use of the GEM Building Taxonomy by discussing example case studies, in which the building-specific characteristics are mapped directly using GEM taxonomic attributes and the corresponding taxonomic string is constructed for that building, with \"/\" slash marks separating attributes. For example, for the building shown to the right, the GEM Taxonomy string is:
\nDX1/MUR+CLBRS+MOCL2/LWAL3/
\nDY/MUR+CLBRS+MOCL/LWAL/YPRE:19394/HEX:25/RES6
\n/7/8/IRRE9/10/RSH3+RWO211/FW12/13/
\nwhich can be read as (1) Direction = [DX or DY] (the building has the same lateral load-resisting system in both directions); (2) Material = [Unreinforced Masonry + solid fired clay bricks + cement: lime mortar]; (3) Lateral Load-Resisting System = [Wall]; (4) Date of construction = [pre-1939]; (5) Heaight = [exactly 2 storeys]; (6) Occupancy = [residential, unknown type]; (7) Building Position = [unknown = no entry]; (8) Shape of building plan = [unknown = no entry]; (9) Structural irregularity = [regular]; (10) Exterior walls = [unknown = no entry]; (11) Roof = [Shape: pitched and hipped, Roof covering: clay tiles, Roof system material: wood, Roof system type: wood trusses]; (12) Floor = [Floor system: Wood, unknown]; (13) Foundation = [unknown = no entry].
\nMapping of GEM Building Taxonomy to selected taxonomies is included in the report -- for example, the above building would be referenced by previous structural taxonomies as: PAGER-STR as UFB or UFB4, by the World Housing Encyclopedia as 7 or 8 and by the European Macroseismic Scale (98) as M5. The Building Taxonomy data model is highly flexible and has been incorporated within a relational database architecture. Due to its ability to represent building typologies using a shorthand form, it is also possible to use the taxonomy for non-database applications, and we discuss possible application of adaptation for Building Information Modelling (BIM) systems, and for the insurance industry.
\nThe GEM Building Taxonomy was independently evaluated and tested by the Earthquake Engineering Research Institute (EERI), which received 217 TaxT reports from 49 countries, representing a wide range of building typologies, including single and multi-storey buildings, reinforced and unreinforced masonry, confined masonry, concrete, steel, wood, and earthern buildings used for residential, commercial, industrial, and educational occupancy. Based on these submissions and other feedback, the EERI team validated that the GEM Building Taxonomy is highly functional, robust and able to describe different buildings around the world.
\nThe GEM Building Taxonomy is accompanied by supplementary resources. All terms have been explained in a companion online Glossary, which provides both text and graphic descriptions. The Taxonomy is accompanied by TaxT, a computer application that enables a user record information about a building or a building typology using the attributes of the GEM Building Taxonomy v2.0. TaxT can generate a taxonomy string and enable a user to generate a report in PDF format which summarizes the attribute values (s)he has chosen as representative of the building typology under consideration.
\nThe report concludes with recommendations for future development of the GEM Building Taxonomy. Appendices provide the detailed GEM Building Taxonomy tables and additional resource, as well as mappings to other taxonomies.
","language":"English","publisher":"GEM Foundation","usgsCitation":"Brzev, S., Scawthorn, C., Charleson, A., Allen, L., Greene, M., Jaiswal, K., and Silva, V., 2013, GEM Building Taxonomy (Version 2.0) (Version 1.0): GEM Technical Report 2013-02, xiii, 163 p.","productDescription":"xiii, 163 p.","numberOfPages":"180","ipdsId":"IP-051658","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":286345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286344,"type":{"id":15,"text":"Index Page"},"url":"https://www.globalquakemodel.org/resources/publications/technical-reports/gem-building-taxonomy-report/"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5355943ae4b0120853e8bf91","contributors":{"authors":[{"text":"Brzev, S.","contributorId":47291,"corporation":false,"usgs":true,"family":"Brzev","given":"S.","email":"","affiliations":[],"preferred":false,"id":487301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scawthorn, C.","contributorId":65763,"corporation":false,"usgs":true,"family":"Scawthorn","given":"C.","email":"","affiliations":[],"preferred":false,"id":487302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charleson, A.W.","contributorId":23845,"corporation":false,"usgs":true,"family":"Charleson","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":487300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, L.","contributorId":76225,"corporation":false,"usgs":true,"family":"Allen","given":"L.","email":"","affiliations":[],"preferred":false,"id":487303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greene, M.","contributorId":85069,"corporation":false,"usgs":true,"family":"Greene","given":"M.","email":"","affiliations":[],"preferred":false,"id":487304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaiswal, Kishor kjaiswal@usgs.gov","contributorId":861,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":487298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Silva, V.","contributorId":13136,"corporation":false,"usgs":true,"family":"Silva","given":"V.","affiliations":[],"preferred":false,"id":487299,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70048487,"text":"70048487 - 2013 - Use and interpretation of climate envelope models: a practical guide","interactions":[],"lastModifiedDate":"2014-06-20T14:19:14","indexId":"70048487","displayToPublicDate":"2013-01-01T15:06:52","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Use and interpretation of climate envelope models: a practical guide","docAbstract":"This guidebook is intended to provide a practical overview of climate envelope modeling for conservation \nprofessionals and natural resource managers. The material is intended for people with little background or \nexperience in climate envelope modeling who want to better understand and interpret models developed by \nothers and the results generated by such models, or want to do some modeling themselves. This is not an \nexhaustive review of climate envelope modeling, but rather a brief introduction to some key concepts in the \ndiscipline. Readers interested in a more in-depth treatment of much of the material presented here are referred \nto an excellent book, Mapping Species Distributions: Spatial Inference and Prediction by Janet Franklin. Also, a \nrecent review (Araújo & Peterson 2012) provides an excellent, though more technical, discussion of many of the \nissues dealt with here. Here we treat selected topics from a practical perspective, using minimal jargon to explain \nand illustrate some of the many issues that one has to be aware of when using climate envelope models. When \nwe do introduce specialized terminology in the guidebook, we bold the term when it is first used; a glossary of \nthese terms is included at the back of the guidebook.","language":"English","publisher":"University of Florida","publisherLocation":"Ft Lauderdale, FL","usgsCitation":"Watling, J., Brandt, L., Mazzotti, F., and Romañach, S., 2013, Use and interpretation of climate envelope models: a practical guide, 43 p.","productDescription":"43 p.","numberOfPages":"43","ipdsId":"IP-041827","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":279199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279198,"type":{"id":15,"text":"Index Page"},"url":"https://crocdoc.ifas.ufl.edu/projects/climateenvelopemodeling/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96bfe4b0c629af44de15","contributors":{"authors":[{"text":"Watling, James I.","contributorId":101963,"corporation":false,"usgs":true,"family":"Watling","given":"James I.","affiliations":[],"preferred":false,"id":484816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Laura A.","contributorId":18608,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":484813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":484815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romañach, Stephanie S.","contributorId":76064,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","affiliations":[],"preferred":false,"id":484814,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}