Alpine plant communities vary, and their environmental covariates could influence their response to climate change. A single multilevel model of how alpine plant community composition is determined by hierarchical relations is compared to a separate examination of those relations at different scales. Nonmetric multidimensional scaling of species cover for plots in four regions across the Rocky Mountains created dependent variables. Climate variables are derived for the four regions from interpolated data. Plot environmental variables are measured directly and the presence of thirty-seven site characteristics is recorded and used to create additional independent variables. Multilevel and best subsets regressions are used to determine the strength of the hypothesized relations. The ordinations indicate structure in the assembly of plant communities. The multilevel analyses, although revealing significant relations, provide little explanation; of the site variables, those related to site microclimate are most important. In multiscale analyses (whole and separate regions), different variables are better explanations within the different regions. This result indicates weak environmental niche control of community composition. The weak relations of the structure in the patterns of species association to the environment indicates that either alpine vegetation represents a case of the neutral theory of biogeography being a valid explanation or that it represents disequilibrium conditions. The implications of neutral theory and disequilibrium explanations are similar: Response to climate change will be difficult to quantify above equilibrium background turnover.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/24694452.2016.1218267","usgsCitation":"Malanson, G.P., Zimmerman, D.L., Kinney, M., and Fagre, D.B., 2017, Relations of alpine plant communities across environmental gradients: Multilevel versus multiscale analyses: Annals of the Association of American Geographers, v. 107, no. 1, p. 41-53, https://doi.org/10.1080/24694452.2016.1218267.","productDescription":"13 p.","startPage":"41","endPage":"53","ipdsId":"IP-071596","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":337500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-28","publicationStatus":"PW","scienceBaseUri":"58c90123e4b0849ce97abcba","contributors":{"authors":[{"text":"Malanson, George P.","contributorId":189162,"corporation":false,"usgs":false,"family":"Malanson","given":"George","email":"","middleInitial":"P.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":684012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Dale L.","contributorId":166811,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Dale","email":"","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":684010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinney, Mitch","contributorId":189163,"corporation":false,"usgs":false,"family":"Kinney","given":"Mitch","email":"","affiliations":[],"preferred":false,"id":684013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":684011,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192085,"text":"70192085 - 2017 - South Polar Skua breeding populations in the Ross Sea assessed from demonstrated relationship with Adélie Penguin numbers","interactions":[],"lastModifiedDate":"2017-10-19T15:26:47","indexId":"70192085","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"South Polar Skua breeding populations in the Ross Sea assessed from demonstrated relationship with Adélie Penguin numbers","docAbstract":"In the Ross Sea region, most South Polar Skuas (Stercorarius maccormicki) nest near Adélie Penguin (Pygoscelis adeliae) colonies, preying and scavenging on fish, penguins, and other carrion. To derive a relationship to predict skua numbers from better-quantified penguin numbers, we used distance sampling to estimate breeding skua numbers within 1000 m of 5 penguin nesting locations (Cape Crozier, Cape Royds, and 3 Cape Bird locations) on Ross Island in 3 consecutive years. Estimated numbers of skua breeding pairs were highest at Cape Crozier (270,000 penguin pairs; 1099 and 1347 skua pairs in 2 respective years) and lowest at Cape Royds (3000 penguin pairs; 45 skua pairs). The log–log linear relationship (R2 = 0.98) between pairs of skuas and penguins was highly significant, and most historical estimates of skua and penguin numbers in the Ross Sea were within 95 % prediction intervals of the regression. Applying our regression model to current Adélie Penguin colony sizes at 23 western Ross Sea locations predicted that 4635 pairs of skuas now breed within 1000 m of penguin colonies in the Ross Island metapopulation (including Beaufort Island) and northern Victoria Land. We estimate, using published skua estimates for elsewhere in Antarctica, that the Ross Sea South Polar Skua population comprises ~50 % of the world total, although this may be an overestimate because of incomplete data elsewhere. To improve predictions and enable measurement of future skua population change, we recommend additional South Polar Skua surveys using consistent distance-sampling methods at penguin colonies of a range of sizes.
","language":"English","publisher":"Springer","doi":"10.1007/s00300-016-1980-4","usgsCitation":"Wilson, D.J., Lyver, P.O., Greene, T.C., Whitehead, A.L., Dugger, K., Karl, B.J., Barringer, J.R., McGarry, R., Pollard, A.M., and Ainley, D.G., 2017, South Polar Skua breeding populations in the Ross Sea assessed from demonstrated relationship with Adélie Penguin numbers: Polar Biology, v. 40, no. 3, p. 577-592, https://doi.org/10.1007/s00300-016-1980-4.","productDescription":"16 p.","startPage":"577","endPage":"592","ipdsId":"IP-067093","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":" Ross Island","volume":"40","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-08","publicationStatus":"PW","scienceBaseUri":"59e9b995e4b05fe04cd65ca2","contributors":{"authors":[{"text":"Wilson, Deborah J.","contributorId":197733,"corporation":false,"usgs":false,"family":"Wilson","given":"Deborah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyver, Phil O’B.","contributorId":197706,"corporation":false,"usgs":false,"family":"Lyver","given":"Phil","email":"","middleInitial":"O’B.","affiliations":[],"preferred":false,"id":714162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greene, Terry C.","contributorId":197734,"corporation":false,"usgs":false,"family":"Greene","given":"Terry","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":714163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitehead, Amy L.","contributorId":197735,"corporation":false,"usgs":false,"family":"Whitehead","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karl, Brian J.","contributorId":197736,"corporation":false,"usgs":false,"family":"Karl","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barringer, James R. F.","contributorId":197737,"corporation":false,"usgs":false,"family":"Barringer","given":"James","email":"","middleInitial":"R. F.","affiliations":[],"preferred":false,"id":714166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGarry, Roger","contributorId":197738,"corporation":false,"usgs":false,"family":"McGarry","given":"Roger","email":"","affiliations":[],"preferred":false,"id":714167,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pollard, Annie M.","contributorId":197739,"corporation":false,"usgs":false,"family":"Pollard","given":"Annie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714168,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ainley, David G.","contributorId":32039,"corporation":false,"usgs":false,"family":"Ainley","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":34154,"text":"Point Reyes Bird Observatory, Stinson Beach, CA","active":true,"usgs":false}],"preferred":false,"id":714169,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70189315,"text":"70189315 - 2017 - Nationwide reconnaissance of contaminants of emerging concern in source and treated drinking waters of the United States","interactions":[],"lastModifiedDate":"2017-07-11T09:43:00","indexId":"70189315","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Nationwide reconnaissance of contaminants of emerging concern in source and treated drinking waters of the United States","docAbstract":"When chemical or microbial contaminants are assessed for potential effect or possible regulation in ambient and drinking waters, a critical first step is determining if the contaminants occur and if they are at concentrations that may cause human or ecological health concerns. To this end, source and treated drinking water samples from 29 drinking water treatment plants (DWTPs) were analyzed as part of a two-phase study to determine whether chemical and microbial constituents, many of which are considered contaminants of emerging concern, were detectable in the waters. Of the 84 chemicals monitored in the 9 Phase I DWTPs, 27 were detected at least once in the source water, and 21 were detected at least once in treated drinking water. In Phase II, which was a broader and more comprehensive assessment, 247 chemical and microbial analytes were measured in 25 DWTPs, with 148 detected at least once in the source water, and 121 detected at least once in the treated drinking water. The frequency of detection was often related to the analyte's contaminant class, as pharmaceuticals and anthropogenic waste indicators tended to be infrequently detected and more easily removed during treatment, while per and polyfluoroalkyl substances and inorganic constituents were both more frequently detected and, overall, more resistant to treatment. The data collected as part of this project will be used to help inform evaluation of unregulated contaminants in surface water, groundwater, and drinking water.
Basalt weathering is a key control over the global carbon cycle, though in situ measurements of carbon cycling are lacking. In an experimental, vegetation-free hillslope containing 330 m3 of ground basalt scoria, we measured real-time inorganic carbon dynamics within the porous media and seepage flow. The hillslope carbon flux (0.6–5.1 mg C m–2 h–1) matched weathering rates of natural basalt landscapes (0.4–8.8 mg C m–2 h–1) despite lacking the expected field-based impediments to weathering. After rainfall, a decrease in CO2 concentration ([CO2]) in pore spaces into solution suggested rapid carbon sequestration but slow reactant supply. Persistent low soil [CO2] implied that diffusion limited CO2 supply, while when sufficiently dry, reaction product concentrations limited further weathering. Strong influence of diffusion could cause spatial heterogeneity of weathering even in natural settings, implying that modeling studies need to include variable soil [CO2] to improve carbon cycling estimates associated with potential carbon sequestration methods.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G38569.1","usgsCitation":"van Haren, J., Dontsova, K., Barron-Gafford, G.A., Troch, P.A., Chorover, J., DeLong, S.B., Breshears, D.D., Huxman, T.E., Pelletier, J.D., Saleska, S., Zeng, X., and Ruiz, J., 2017, CO2 diffusion into pore spaces limits weathering rate of an experimental basalt landscape: Geology, v. 45, no. 3, p. 203-206, https://doi.org/10.1130/G38569.1.","productDescription":"4 p.","startPage":"203","endPage":"206","ipdsId":"IP-066104","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":343578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-03-01","publicationStatus":"PW","scienceBaseUri":"5965b210e4b0d1f9f05b37d4","contributors":{"authors":[{"text":"van Haren, Joost","contributorId":139489,"corporation":false,"usgs":false,"family":"van Haren","given":"Joost","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":704209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dontsova, Katerina","contributorId":139473,"corporation":false,"usgs":false,"family":"Dontsova","given":"Katerina","email":"","affiliations":[{"id":12774,"text":"Biosphere 2","active":true,"usgs":false}],"preferred":false,"id":704210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barron-Gafford, Greg A.","contributorId":19058,"corporation":false,"usgs":false,"family":"Barron-Gafford","given":"Greg","email":"","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":704211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troch, Peter A.","contributorId":93704,"corporation":false,"usgs":false,"family":"Troch","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":704212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chorover, Jon 0000-0001-9497-0195","orcid":"https://orcid.org/0000-0001-9497-0195","contributorId":139472,"corporation":false,"usgs":false,"family":"Chorover","given":"Jon","email":"","affiliations":[],"preferred":false,"id":704213,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":704214,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breshears, David D.","contributorId":51620,"corporation":false,"usgs":false,"family":"Breshears","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":704215,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huxman, Travis E.","contributorId":53898,"corporation":false,"usgs":false,"family":"Huxman","given":"Travis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":704216,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pelletier, Jon D.","contributorId":22657,"corporation":false,"usgs":false,"family":"Pelletier","given":"Jon","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":704217,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Saleska, Scott","contributorId":139485,"corporation":false,"usgs":false,"family":"Saleska","given":"Scott","email":"","affiliations":[],"preferred":false,"id":704218,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zeng, Xubin","contributorId":139490,"corporation":false,"usgs":false,"family":"Zeng","given":"Xubin","email":"","affiliations":[],"preferred":false,"id":704219,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ruiz, Joaquin","contributorId":87967,"corporation":false,"usgs":false,"family":"Ruiz","given":"Joaquin","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":704220,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70188371,"text":"70188371 - 2017 - Subsurface volatile content of martian double-layer ejecta (DLE) craters","interactions":[],"lastModifiedDate":"2018-11-01T14:44:37","indexId":"70188371","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Subsurface volatile content of martian double-layer ejecta (DLE) craters","docAbstract":"Excess ice is widespread throughout the martian mid-latitudes, particularly in Arcadia Planitia, where double-layer ejecta (DLE) craters also tend to be abundant. In this region, we observe the presence of thermokarstically-expanded secondary craters that likely form from impacts that destabilize a subsurface layer of excess ice, which subsequently sublimates. The presence of these expanded craters shows that excess ice is still preserved within the adjacent terrain. Here, we focus on a 15-km DLE crater that contains abundant superposed expanded craters in order to study the distribution of subsurface volatiles both at the time when the secondary craters formed and, by extension, remaining today. To do this, we measure the size distribution of the superposed expanded craters and use topographic data to calculate crater volumes as a proxy for the volumes of ice lost to sublimation during the expansion process. The inner ejecta layer contains craters that appear to have undergone more expansion, suggesting that excess ice was most abundant in that region. However, both of the ejecta layers had more expanded craters than the surrounding terrain. We extrapolate that the total volume of ice remaining within the entire ejecta deposit is as much as 74 km3 or more. The variation in ice content between the ejecta layers could be the result of (1) volatile preservation from the formation of the DLE crater, (2) post-impact deposition in the form of ice lenses; or (3) preferential accumulation or preservation of subsequent snowfall. We have ruled out (2) as the primary mode for ice deposition in this location based on inconsistencies with our observations, though it may operate in concert with other processes. Although none of the existing DLE formation hypotheses are completely consistent with our observations, which may merit a new or modified mechanism, we can conclude that DLE craters contain a significant quantity of excess ice today.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2016.11.031","usgsCitation":"Viola, D., McEwen, A.S., Dundas, C.M., and Byrne, S., 2017, Subsurface volatile content of martian double-layer ejecta (DLE) craters: Icarus, v. 284, p. 325-343, https://doi.org/10.1016/j.icarus.2016.11.031.","productDescription":"19 p.","startPage":"325","endPage":"343","ipdsId":"IP-077824","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":342216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"284","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910abe4b0764e6c5e8850","contributors":{"authors":[{"text":"Viola, Donna","contributorId":127526,"corporation":false,"usgs":false,"family":"Viola","given":"Donna","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":697430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":697431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":697429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":697432,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193485,"text":"70193485 - 2017 - Conservation status of the American horseshoe crab, (Limulus polyphemus): A regional assessment","interactions":[],"lastModifiedDate":"2017-11-10T11:05:48","indexId":"70193485","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Conservation status of the American horseshoe crab, (Limulus polyphemus): A regional assessment","title":"Conservation status of the American horseshoe crab, (Limulus polyphemus): A regional assessment","docAbstract":"Horseshoe crabs have persisted for more than 200 million years, and fossil forms date to 450 million years ago. The American horseshoe crab (Limulus polyphemus), one of four extant horseshoe crab species, is found along the Atlantic coastline of North America ranging from Alabama to Maine, USA with another distinct population on the coasts of Campeche, Yucatán and Quintana Roo in the Yucatán Peninsula, México. Although the American horseshoe crab tolerates broad environmental conditions, exploitation and habitat loss threaten the species. We assessed the conservation status of the American horseshoe crab by comprehensively reviewing available scientific information on its range, life history, genetic structure, population trends and analyses, major threats, and conservation. We structured the status assessment by six genetically-informed regions and accounted for sub-regional differences in environmental conditions, threats, and management. The transnational regions are Gulf of Maine (USA), Mid-Atlantic (USA), Southeast (USA), Florida Atlantic (USA), Northeast Gulf of México (USA), and Yucatán Peninsula (México). Our conclusion is that the American horseshoe crab species is vulnerable to local extirpation and that the degree and extent of risk vary among and within the regions. The risk is elevated in the Gulf of Maine region due to limited and fragmented habitat. The populations of horseshoe crabs in the Mid-Atlantic region are stable in the Delaware Bay area, and regulatory controls are in place, but the risk is elevated in the New England area as evidenced by continuing declines understood to be caused by over-harvest. The populations of horseshoe crabs in the Southeast region are stable or increasing. The populations of horseshoe crabs in the Florida Atlantic region show mixed trends among areas, and continuing population reductions at the embayment level have poorly understood causes. Within the Northeast Gulf of Mexico, causes of population trends are poorly understood and currently there is no active management of horseshoe crabs. Horseshoe crabs within México have conservation protection based on limited and fragmented habitat and geographic isolation from other regions, but elevated risk applies to the horseshoe crabs in the Yucatán Peninsula region until sufficient data can confirm population stability. Future species status throughout its range will depend on the effectiveness of conservation to mitigate habitat loss and manage for sustainable harvest among and within regions.
","language":"English","publisher":"Springer","doi":"10.1007/s11160-016-9461-y","usgsCitation":"Smith, D.R., Brockmann, H.J., Beekey, M.A., King, T.L., Millard, M., and Zaldivar-Rae, J., 2017, Conservation status of the American horseshoe crab, (Limulus polyphemus): A regional assessment: Reviews in Fish Biology and Fisheries, v. 27, no. 1, p. 135-175, https://doi.org/10.1007/s11160-016-9461-y.","productDescription":"41 p.","startPage":"135","endPage":"175","ipdsId":"IP-072969","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470094,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11160-016-9461-y","text":"Publisher Index Page"},{"id":348566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"27","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-10","publicationStatus":"PW","scienceBaseUri":"5a06c8cfe4b09af898c86135","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":721551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brockmann, H. Jane","contributorId":199472,"corporation":false,"usgs":false,"family":"Brockmann","given":"H.","email":"","middleInitial":"Jane","affiliations":[{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false}],"preferred":false,"id":721552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beekey, Mark A.","contributorId":199471,"corporation":false,"usgs":false,"family":"Beekey","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":35545,"text":"Sacred Heart University","active":true,"usgs":false}],"preferred":false,"id":721558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":721559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Millard, Mike","contributorId":194166,"corporation":false,"usgs":false,"family":"Millard","given":"Mike","email":"","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false}],"preferred":false,"id":721560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zaldivar-Rae, Jaime","contributorId":199473,"corporation":false,"usgs":false,"family":"Zaldivar-Rae","given":"Jaime","email":"","affiliations":[{"id":35546,"text":"Anáhuac Mayab University","active":true,"usgs":false}],"preferred":false,"id":721561,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193547,"text":"70193547 - 2017 - Reply to: Terry, J. and Goff, J. comment on “Late Cenozoic sea level and the rise of modern rimmed atolls” by Toomey et al. (2016), Palaeogeography, Palaeoclimatology, Palaeoecology 4 51: 73–83.","interactions":[],"lastModifiedDate":"2017-11-06T12:23:06","indexId":"70193547","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Reply to: Terry, J. and Goff, J. comment on “Late Cenozoic sea level and the rise of modern rimmed atolls” by Toomey et al. (2016), Palaeogeography, Palaeoclimatology, Palaeoecology 4 51: 73–83.","docAbstract":"We appreciate Terry and Goff's thoughtful comment in response to our proposed atoll development model. Flank collapse of reef-built slopes likely does affect plan-form atoll morphology in some locations and potentially poses a tsunami hazard to low-lying Pacific islands (Terry and Goff, 2013). However, given the often rapid rates of lagoon infill (> 1 mm/yr; Montaggioni, 2005), such failure events would likely need to be frequent and widespread in order to leave a morphologic imprint on modern western Pacific atoll lagoon depths. Few atoll flank collapse features have been dated but many of the arcuate bight-like structures (ABLS) identified could be inherited from scars incised into the initial volcanic edifice (e.g. Terry and Goff, 2013 and refs. therein) — submarine mass wasting has been extensively documented on young hotspot islands (e.g. Hawaiian Islands: Moore et al., 1989; Reunion: Oehler et al., 2008). Atolls in the Marshall Islands, where our main study site Enewetak Atoll is located, are likely ~ 50–100 million years old (Larson et al., 1995) and dating of adjacent deep-water turbidite aprons in the Nauru Basin (DSDP Site 462; Schlanger and Silva, 1986) suggests that large atoll flank collapse events have been relatively infrequent there since the mid-Miocene (< 11 Ma). In our simple, 1D atoll development model (Toomey et al., 2016a), we included the minimum set of processes (vertical accretion, dissolution, and lagoonal infilling) required to accurately simulate Enewetak's ‘recent’ depositional history (8.5–0 Ma) and explain basic differences in lagoon depth among western Pacific atolls.
We agree future development of a model incorporating the wider range of processes impacting connectivity between reef-bound lagoons and the ocean (e.g. Ouillon et al., 2004; Toomey et al., 2016b), including stochastic mass wasting events, will be essential for exploring the plan-form and 3D shapes of atolls. To our knowledge, no quantitative model of long-term atoll development has explicitly linked lagoon restriction/sedimentation to episodic flank collapse events (e.g. Montaggioni et al., 2015; Paterson et al., 2006; Quinn, 1991; Warrlich et al., 2002). Testing Terry and Goff's proposed conceptual model for how rim failure processes affect atoll morphology in a numerical context will require deep drilling along arcuate bight-like structures, as well as adjacent, unaffected, rim and lagoon areas, in order quantify how often failures occur and how quickly the rim/lagoon is rebuilt afterwards. The model we present here provides a general framework capable of integrating atoll flank collapse processes once they are sufficiently constrained by such observational datasets.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2016.11.028","usgsCitation":"Toomey, M., Ashton, A., Raymo, M.E., and Perron, J.T., 2017, Reply to: Terry, J. and Goff, J. comment on “Late Cenozoic sea level and the rise of modern rimmed atolls” by Toomey et al. (2016), Palaeogeography, Palaeoclimatology, Palaeoecology 4 51: 73–83.: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 469, p. 159-160, https://doi.org/10.1016/j.palaeo.2016.11.028.","productDescription":"2 p.","startPage":"159","endPage":"160","ipdsId":"IP-080565","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":470037,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.palaeo.2016.11.028","text":"External Repository"},{"id":348264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"469","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e929e4b09af898c8cc01","contributors":{"authors":[{"text":"Toomey, Michael 0000-0003-0167-9273 mtoomey@usgs.gov","orcid":"https://orcid.org/0000-0003-0167-9273","contributorId":184097,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","email":"mtoomey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":719324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashton, Andrew","contributorId":184098,"corporation":false,"usgs":false,"family":"Ashton","given":"Andrew","affiliations":[],"preferred":false,"id":719325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raymo, Maureen E.","contributorId":184099,"corporation":false,"usgs":false,"family":"Raymo","given":"Maureen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perron, J. Taylor","contributorId":184100,"corporation":false,"usgs":false,"family":"Perron","given":"J.","email":"","middleInitial":"Taylor","affiliations":[],"preferred":false,"id":719327,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189660,"text":"70189660 - 2017 - Using resilience and resistance concepts to manage persistent threats to sagebrush ecosystems and greater sage-grouse","interactions":[],"lastModifiedDate":"2017-11-27T11:44:07","indexId":"70189660","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Using resilience and resistance concepts to manage persistent threats to sagebrush ecosystems and greater sage-grouse","docAbstract":"Conservation of imperiled species often demands addressing a complex suite of threats that undermine species viability. Regulatory approaches, such as the US Endangered Species Act (1973), tend to focus on anthropogenic threats through adoption of policies and regulatory mechanisms. However, persistent ecosystem-based threats, such as invasive species and altered disturbance regimes, remain critical issues for most at-risk species considered to be conservation-reliant. We describe an approach for addressing persistent ecosystem threats to at-risk species based on ecological resilience and resistance concepts that is currently being used to conserve greater sage-grouse (Centrocercus urophasianus)and sagebrush ecosystems. The approach links biophysical indicators of ecosystem resilience and resistance with species-specific population and habitat requisites in a risk-based framework to identify priority areas for management and guide allocation of resources to manage persistent ecosystem-based threats. US federal land management and natural resource agencies have adopted this framework as a foundation for prioritizing sage-grouse conservation resources and determining effective restoration and management strategies. Because threats and strategies to address them cross-cut program areas, an integrated approach that includes wildland fire operations, postfire rehabilitation, fuels management, and habitat restoration is being used. We believe this approach is applicable to species conservation in other largely intact ecosystems with persistent, ecosystem-based threats.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2016.08.005","usgsCitation":"Chambers, J., Maestas, J.D., Pyke, D.A., Boyd, C.S., Pellant, M., and Wuenschel, A., 2017, Using resilience and resistance concepts to manage persistent threats to sagebrush ecosystems and greater sage-grouse: Rangeland Ecology and Management, v. 70, no. 2, p. 149-164, https://doi.org/10.1016/j.rama.2016.08.005.","productDescription":"16 p.","startPage":"149","endPage":"164","ipdsId":"IP-064643","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498478,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/667423","text":"External Repository"},{"id":344060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fb6e4b0d1f9f065a884","contributors":{"authors":[{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":705658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maestas, Jeremy D.","contributorId":117298,"corporation":false,"usgs":true,"family":"Maestas","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":705659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","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":705660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyd, Chad S.","contributorId":118169,"corporation":false,"usgs":true,"family":"Boyd","given":"Chad","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":705661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pellant, Mike","contributorId":83856,"corporation":false,"usgs":true,"family":"Pellant","given":"Mike","affiliations":[],"preferred":false,"id":705662,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wuenschel, Amarina","contributorId":191087,"corporation":false,"usgs":false,"family":"Wuenschel","given":"Amarina","email":"","affiliations":[],"preferred":false,"id":705663,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188699,"text":"70188699 - 2017 - Large earthquakes and creeping faults","interactions":[],"lastModifiedDate":"2017-06-21T14:31:22","indexId":"70188699","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Large earthquakes and creeping faults","docAbstract":"Faults are ubiquitous throughout the Earth's crust. The majority are silent for decades to centuries, until they suddenly rupture and produce earthquakes. With a focus on shallow continental active-tectonic regions, this paper reviews a subset of faults that have a different behavior. These unusual faults slowly creep for long periods of time and produce many small earthquakes. The presence of fault creep and the related microseismicity helps illuminate faults that might not otherwise be located in fine detail, but there is also the question of how creeping faults contribute to seismic hazard. It appears that well-recorded creeping fault earthquakes of up to magnitude 6.6 that have occurred in shallow continental regions produce similar fault-surface rupture areas and similar peak ground shaking as their locked fault counterparts of the same earthquake magnitude. The behavior of much larger earthquakes on shallow creeping continental faults is less well known, because there is a dearth of comprehensive observations. Computational simulations provide an opportunity to fill the gaps in our understanding, particularly of the dynamic processes that occur during large earthquake rupture and arrest.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016RG000539","usgsCitation":"Harris, R.A., 2017, Large earthquakes and creeping faults: Reviews of Geophysics, v. 55, no. 1, p. 169-198, https://doi.org/10.1002/2016RG000539.","productDescription":"30 p.","startPage":"169","endPage":"198","ipdsId":"IP-080671","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016rg000539","text":"Publisher Index Page"},{"id":342725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"594b85b4e4b062508e382b7f","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":698953,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189627,"text":"70189627 - 2017 - Broadband seismic noise attenuation versus depth at the Albuquerque Seismological Laboratory","interactions":[],"lastModifiedDate":"2018-03-29T11:32:05","indexId":"70189627","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Broadband seismic noise attenuation versus depth at the Albuquerque Seismological Laboratory","docAbstract":"Seismic noise induced by atmospheric processes such as wind and pressure changes can be a major contributor to the background noise observed in many seismograph stations, especially those installed at or near the surface. Cultural noise such as vehicle traffic or nearby buildings with air handling equipment also contributes to seismic background noise. Such noise sources fundamentally limit our ability to resolve earthquake‐generated signals. Many previous seismic noise versus depth studies focused separately on either high‐frequency (
A common assumption with groundwater sampling is that low (<0.5 L/min) pumping rates during well purging and sampling captures primarily lateral flow from the formation through the well-screened interval at a depth coincident with the pump intake. However, if the intake is adjacent to a low hydraulic conductivity part of the screened formation, this scenario will induce vertical groundwater flow to the pump intake from parts of the screened interval with high hydraulic conductivity. Because less formation water will initially be captured during pumping, a substantial volume of water already in the well (preexisting screen water or screen storage) will be captured during this initial time until inflow from the high hydraulic conductivity part of the screened formation can travel vertically in the well to the pump intake. Therefore, the length of the time needed for adequate purging prior to sample collection (called optimal purge duration) is controlled by the in-well, vertical travel times. A preliminary, simple analytical model was used to provide information on the relation between purge duration and capture of formation water for different gross levels of heterogeneity (contrast between low and high hydraulic conductivity layers). The model was then used to compare these time–volume relations to purge data (pumping rates and drawdown) collected at several representative monitoring wells from multiple sites. Results showed that computation of time-dependent capture of formation water (as opposed to capture of preexisting screen water), which were based on vertical travel times in the well, compares favorably with the time required to achieve field parameter stabilization. If field parameter stabilization is an indicator of arrival time of formation water, which has been postulated, then in-well, vertical flow may be an important factor at wells where low-flow sampling is the sample method of choice.
","language":"English","publisher":"Springer","doi":"10.1007/s12665-017-6561-5","usgsCitation":"Harte, P.T., 2017, In-well time-of-travel approach to evaluate optimal purge duration during low-flow sampling of monitoring wells: Environmental Earth Sciences, v. 76, p. 1-13, https://doi.org/10.1007/s12665-017-6561-5.","productDescription":"Article 251; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-071519","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":351267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-21","publicationStatus":"PW","scienceBaseUri":"5a7c1e7ce4b00f54eb229355","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727304,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70190053,"text":"70190053 - 2017 - Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake","interactions":[],"lastModifiedDate":"2017-08-08T10:52:14","indexId":"70190053","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake","docAbstract":"An uncommon coastal sedimentary record combines evidence for seismic shaking and coincident tsunami inundation since AD 1000 in the region of the largest earthquake recorded instrumentally: the giant 1960 southern Chile earthquake (Mw 9.5). The record reveals significant variability in the size and recurrence of megathrust earthquakes and ensuing tsunamis along this part of the Nazca-South American plate boundary. A 500-m long coastal outcrop on Isla Chiloé, midway along the 1960 rupture, provides continuous exposure of soil horizons buried locally by debris-flow diamicts and extensively by tsunami sand sheets. The diamicts flattened plants that yield geologically precise ages to correlate with well-dated evidence elsewhere. The 1960 event was preceded by three earthquakes that probably resembled it in their effects, in AD 898 - 1128, 1300 - 1398 and 1575, and by five relatively smaller intervening earthquakes. Earthquakes and tsunamis recurred exceptionally often between AD 1300 and 1575. Their average recurrence interval of 85 years only slightly exceeds the time already elapsed since 1960. This inference is of serious concern because no earthquake has been anticipated in the region so soon after the 1960 event, and current plate locking suggests that some segments of the boundary are already capable of producing large earthquakes. This long-term earthquake and tsunami history of one of the world's most seismically active subduction zones provides an example of variable rupture mode, in which earthquake size and recurrence interval vary from one earthquake to the next.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.12.007","usgsCitation":"Cisternas, M., Garrett, E., Wesson, R.L., Dura, T., and Ely, L.L., 2017, Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake: Marine Geology, v. 385, no. 1 March 2017, p. 101-113, https://doi.org/10.1016/j.margeo.2016.12.007.","productDescription":"13 p.","startPage":"101","endPage":"113","ipdsId":"IP-083320","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470047,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/file/1364141/1/Accepted%20Journal%20Article","text":"External Repository"},{"id":344645,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://ars.els-cdn.com/content/image/1-s2.0-S0025322716X00138-cov150h.gif"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.619140625,\n -43.46089378008257\n ],\n [\n -73.19091796875,\n -43.46089378008257\n ],\n [\n -73.19091796875,\n -41.73033005046652\n ],\n [\n -74.619140625,\n -41.73033005046652\n ],\n [\n -74.619140625,\n -43.46089378008257\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"385","issue":"1 March 2017","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"598acddce4b09fa1cb0e13db","contributors":{"authors":[{"text":"Cisternas, M.","contributorId":193403,"corporation":false,"usgs":false,"family":"Cisternas","given":"M.","email":"","affiliations":[],"preferred":false,"id":707338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrett, E","contributorId":195524,"corporation":false,"usgs":false,"family":"Garrett","given":"E","email":"","affiliations":[],"preferred":false,"id":707339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dura, T.","contributorId":193399,"corporation":false,"usgs":false,"family":"Dura","given":"T.","affiliations":[],"preferred":false,"id":707341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, L. L","contributorId":193400,"corporation":false,"usgs":false,"family":"Ely","given":"L.","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":707342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195838,"text":"70195838 - 2017 - Rapid carbon loss and slow recovery following permafrost thaw in boreal peatlands","interactions":[],"lastModifiedDate":"2018-03-06T11:16:30","indexId":"70195838","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Rapid carbon loss and slow recovery following permafrost thaw in boreal peatlands","docAbstract":"Permafrost peatlands store one-third of the total carbon (C) in the atmosphere and are increasingly vulnerable to thaw as high-latitude temperatures warm. Large uncertainties remain about C dynamics following permafrost thaw in boreal peatlands. We used a chronosequence approach to measure C stocks in forested permafrost plateaus (forest) and thawed permafrost bogs, ranging in thaw age from young (<10 years) to old (>100 years) from two interior Alaska chronosequences. Permafrost originally aggraded simultaneously with peat accumulation (syngenetic permafrost) at both sites. We found that upon thaw, C loss of the forest peat C is equivalent to ~30% of the initial forest C stock and is directly proportional to the prethaw C stocks. Our model results indicate that permafrost thaw turned these peatlands into net C sources to the atmosphere for a decade following thaw, after which post-thaw bog peat accumulation returned sites to net C sinks. It can take multiple centuries to millennia for a site to recover its prethaw C stocks; the amount of time needed for them to regain their prethaw C stocks is governed by the amount of C that accumulated prior to thaw. Consequently, these findings show that older peatlands will take longer to recover prethaw C stocks, whereas younger peatlands will exceed prethaw stocks in a matter of centuries. We conclude that the loss of sporadic and discontinuous permafrost by 2100 could result in a loss of up to 24 Pg of deep C from permafrost peatlands.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13403","usgsCitation":"Jones, M.C., Harden, J.W., O’Donnell, J.A., Manies, K.L., Jorgenson, M., Treat, C.C., and Ewing, S., 2017, Rapid carbon loss and slow recovery following permafrost thaw in boreal peatlands: Global Change Biology, v. 23, no. 3, p. 1109-1127, https://doi.org/10.1111/gcb.13403.","productDescription":"19 p.","startPage":"1109","endPage":"1127","ipdsId":"IP-075945","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":352258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-15","publicationStatus":"PW","scienceBaseUri":"5afee8b9e4b0da30c1bfc496","contributors":{"authors":[{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":730234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":730235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":730237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jorgenson, M. Torre","contributorId":202940,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M. Torre","affiliations":[{"id":36554,"text":"Ecoscience","active":true,"usgs":false}],"preferred":false,"id":730238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Treat, Claire C.","contributorId":150798,"corporation":false,"usgs":false,"family":"Treat","given":"Claire","email":"","middleInitial":"C.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":730239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ewing, Stephanie","contributorId":202941,"corporation":false,"usgs":false,"family":"Ewing","given":"Stephanie","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":730240,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70195841,"text":"70195841 - 2017 - Antarctic ice-core water (USGS49) – A new isotopic reference material for δ2H and δ18O measurements of water","interactions":[],"lastModifiedDate":"2018-03-06T11:04:55","indexId":"70195841","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Antarctic ice-core water (USGS49) – A new isotopic reference material for δ2H and δ18O measurements of water","title":"Antarctic ice-core water (USGS49) – A new isotopic reference material for δ2H and δ18O measurements of water","docAbstract":"As a result of the scarcity of isotopic reference waters for daily use, a new secondary isotopic reference material for international distribution has been prepared from ice-core water from the Amundsen–Scott South Pole Station. This isotopic reference material, designated as USGS49, was filtered, homogenised, loaded into glass ampoules, sealed with a torch, autoclaved to eliminate biological activity and measured by dual-inlet isotope-ratio mass spectrometry. The δ2H and δ18O values of USGS49 are −394.7 ± 0.4 and −50.55 ± 0.04 mUr (where mUr = 0.001 = ‰), respectively, relative to VSMOW, on scales normalised such that the δ2H and δ18O values of SLAP reference water are, respectively, −428 and −55.5 mUr. Each uncertainty is an estimated expanded uncertainty (U = 2uc) about the reference value that provides an interval that has about a 95% probability of encompassing the true value. This isotopic reference material is intended as one of two isotopic reference waters for daily normalisation of stable hydrogen and oxygen isotopic analysis of water with an isotope-ratio mass spectrometer or a laser absorption spectrometer. It is available by the case of 144 glass ampoules or as a set of sixteen glass ampoules containing 5 ml of water in each ampoule.
","language":"English","publisher":"Wiley","doi":"10.1111/ggr.12135","usgsCitation":"Lorenz, J.M., Qi, H., and Coplen, T.B., 2017, Antarctic ice-core water (USGS49) – A new isotopic reference material for δ2H and δ18O measurements of water: Geostandards and Geoanalytical Research, v. 41, no. 1, p. 63-68, https://doi.org/10.1111/ggr.12135.","productDescription":"6 p.","startPage":"63","endPage":"68","ipdsId":"IP-077712","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-19","publicationStatus":"PW","scienceBaseUri":"5afee8b9e4b0da30c1bfc494","contributors":{"authors":[{"text":"Lorenz, Jennifer M. 0000-0002-5826-7264 jlorenz@usgs.gov","orcid":"https://orcid.org/0000-0002-5826-7264","contributorId":3558,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jennifer","email":"jlorenz@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":730257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":730258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":730259,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185038,"text":"70185038 - 2017 - Autumn olive (Elaeagnus umbellata) presence and proliferation on former surface coal mines in Eastern USA","interactions":[],"lastModifiedDate":"2017-03-13T16:53:20","indexId":"70185038","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Autumn olive (Elaeagnus umbellata) presence and proliferation on former surface coal mines in Eastern USA","docAbstract":"Invasive plants threaten native plant communities. Surface coal mines in the Appalachian Mountains are among the most disturbed landscapes in North America, but information about land cover characteristics of Appalachian mined lands is lacking. The invasive shrub autumn olive (Elaeagnus umbellata) occurs on these sites and interferes with ecosystem recovery by outcompeting native trees, thus inhibiting re-establishment of the native woody-plant community. We analyzed Landsat 8 satellite imagery to describe autumn olive’s distribution on post-mined lands in southwestern Virginia within the Appalachian coalfield. Eight images from April 2013 through January 2015 served as input data. Calibration and validation data obtained from high-resolution aerial imagery were used to develop a land cover classification model that identified areas where autumn olive was a primary component of land cover. Results indicate that autumn olive cover was sufficiently dense to enable detection on approximately 12.6 % of post-mined lands within the study area. The classified map had user’s and producer’s accuracies of 85.3 and 78.6 %, respectively, for the autumn olive coverage class. Overall accuracy was assessed in reference to an independent validation dataset at 96.8 %. Autumn olive was detected more frequently on mines disturbed prior to 2003, the last year of known plantings, than on lands disturbed by more recent mining. These results indicate that autumn olive growing on reclaimed coal mines in Virginia and elsewhere in eastern USA can be mapped using Landsat 8 Operational Land Imager imagery; and that autumn olive occurrence is a significant landscape vegetation feature on former surface coal mines in the southwestern Virginia segment of the Appalachian coalfield.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-016-1271-6","usgsCitation":"Oliphant, A., Wynne, R., Zipper, C.E., Ford, W., Donovan, P.F., and Li, J., 2017, Autumn olive (Elaeagnus umbellata) presence and proliferation on former surface coal mines in Eastern USA: Biological Invasions, v. 19, no. 1, p. 179-195, https://doi.org/10.1007/s10530-016-1271-6.","productDescription":"17 p.","startPage":"179","endPage":"195","ipdsId":"IP-072884","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":337475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-12","publicationStatus":"PW","scienceBaseUri":"58c7af98e4b0849ce9795e6a","contributors":{"authors":[{"text":"Oliphant, Adam J.","contributorId":189232,"corporation":false,"usgs":false,"family":"Oliphant","given":"Adam J.","affiliations":[],"preferred":false,"id":684165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wynne, R.H.","contributorId":147844,"corporation":false,"usgs":false,"family":"Wynne","given":"R.H.","email":"","affiliations":[],"preferred":false,"id":684166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipper, Carl E.","contributorId":43683,"corporation":false,"usgs":true,"family":"Zipper","given":"Carl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":684167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":684033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donovan, P. F.","contributorId":189233,"corporation":false,"usgs":false,"family":"Donovan","given":"P.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":684168,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Jing","contributorId":9166,"corporation":false,"usgs":true,"family":"Li","given":"Jing","email":"","affiliations":[],"preferred":false,"id":684169,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70194487,"text":"70194487 - 2017 - Geologic controls on submarine slope failure along the central U.S. Atlantic margin: Insights from the Currituck Slide Complex","interactions":[],"lastModifiedDate":"2017-11-29T15:36:35","indexId":"70194487","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geologic controls on submarine slope failure along the central U.S. Atlantic margin: Insights from the Currituck Slide Complex","docAbstract":"Multiple styles of failure, ranging from densely spaced, mass transport driven canyons to the large, slab-type slope failure of the Currituck Slide, characterize adjacent sections of the central U.S. Atlantic margin that appear to be defined by variations in geologic framework. Here we use regionally extensive, deep penetration multichannel seismic (MCS) profiles to reconstruct the influence of the antecedent margin physiography on sediment accumulation along the central U.S. Atlantic continental shelf-edge, slope, and uppermost rise from the Miocene to Present. These data are combined with high-resolution sparker MCS reflection profiles and multibeam bathymetry data across the Currituck Slide Complex. Pre-Neogene allostratigraphic horizons beneath the slope are generally characterized by low gradients and convex downslope profiles. This is followed by the development of thick, prograded deltaic clinoforms during the middle Miocene. Along-strike variations in morphology of a regional unconformity at the top of this middle Miocene unit appear to have set the stage for differing styles of mass transport along the margin. Areas north and south of the Currituck Slide are characterized by oblique margin morphology, defined by an angular shelf-edge and a relatively steep (> 8°), concave slope profile. Upper slope sediment bypass, closely spaced submarine canyons, and small, localized landslides confined to canyon heads and sidewalls characterize these sectors of the margin. In contrast, the Currituck region is defined by a sigmoidal geometry, with a rounded shelf-edge rollover and gentler slope gradient (< 6°). Thick (> 800 m), regionally continuous stratified slope deposits suggest the low gradient Currituck region was a primary depocenter for fluvial inputs during multiple sea level lowstands. These results imply that the rounded, gentle slope physiography developed during the middle Miocene allowed for a relatively high rate of subsequent sediment accumulation, thus providing a mechanism for compaction–induced overpressure that preconditioned the Currituck region for failure. Detailed examination of the regional geological framework illustrates the importance of both sediment supply and antecedent slope physiography in the development of large, potentially unstable depocenters along passive margins.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.10.007","usgsCitation":"Hill, J.C., Brothers, D., Craig, B.K., ten Brink, U., Chaytor, J.D., and Flores, C., 2017, Geologic controls on submarine slope failure along the central U.S. Atlantic margin: Insights from the Currituck Slide Complex: Marine Geology, v. 385, p. 114-130, https://doi.org/10.1016/j.margeo.2016.10.007.","productDescription":"17 p.","startPage":"114","endPage":"130","ipdsId":"IP-075947","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470092,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2016.10.007","text":"Publisher Index Page"},{"id":349576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.5,\n 35\n ],\n [\n -74,\n 35\n ],\n [\n -74,\n 37\n ],\n [\n -75.5,\n 37\n ],\n [\n -75.5,\n 35\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"385","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc05e4b06e28e9c238bb","contributors":{"authors":[{"text":"Hill, Jenna C. 0000-0002-7475-357X","orcid":"https://orcid.org/0000-0002-7475-357X","contributorId":21987,"corporation":false,"usgs":true,"family":"Hill","given":"Jenna","email":"","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Daniel S. dbrothers@usgs.gov","contributorId":3782,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","email":"dbrothers@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":724078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craig, Bradley K.","contributorId":201005,"corporation":false,"usgs":false,"family":"Craig","given":"Bradley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":724079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":724080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":127559,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":724081,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flores, Claudia cflores@usgs.gov","contributorId":4265,"corporation":false,"usgs":true,"family":"Flores","given":"Claudia","email":"cflores@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724082,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193066,"text":"70193066 - 2017 - Extended late Holocene relative sea-level histories for North Carolina, USA","interactions":[],"lastModifiedDate":"2017-11-12T11:04:29","indexId":"70193066","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Extended late Holocene relative sea-level histories for North Carolina, USA","docAbstract":"We produced ∼3000-year long relative sea-level (RSL) histories for two sites in North Carolina (USA) using foraminifera preserved in new and existing cores of dated salt-marsh sediment. At Cedar Island, RSL rose by ∼2.4 m during the past ∼3000 years compared to ∼3.3 m at Roanoke Island. This spatial difference arises primarily from differential GIA that caused late Holocene RSL rise to be 0.1–0.2 mm/yr faster at Roanoke Island than at Cedar Island. However, a non-linear difference in RSL between the two study regions (particularly from ∼0 CE to ∼1250 CE) indicates that additional local- to regional-scale processes drove centennial-scale RSL change in North Carolina. Therefore, the Cedar Island and Roanoke Island records should be considered as independent of one another. Between-site differences on sub-millennial timescales cannot be adequately explained by non-stationary tides, sediment compaction, or local sediment dynamics. We propose that a period of accelerating RSL rise from ∼600 CE to 1100 CE that is present at Roanoke Island (and other sites north of Cape Hatteras at least as far as Connecticut), but absent at Cedar Island (and other sites south of Cape Hatteras at least as far as northeastern Florida) is a local-to regional-scale effect of dynamic ocean and/or atmospheric circulation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.01.012","usgsCitation":"Kemp, A.C., Kegel, J.J., Culver, S.J., Barber, D.C., Mallinson, D.J., Leorri, E., Bernhardt, C.E., Cahill, N., Riggs, S.R., Woodson, A.L., Mulligan, R.P., and Horton, B.P., 2017, Extended late Holocene relative sea-level histories for North Carolina, USA: Quaternary Science Reviews, v. 160, p. 13-30, https://doi.org/10.1016/j.quascirev.2017.01.012.","productDescription":"18 p.","startPage":"13","endPage":"30","ipdsId":"IP-082692","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":470102,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2017.01.012","text":"Publisher Index Page"},{"id":348618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cedar Island, Roanoke Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.41540527343749,\n 34.914088616906106\n ],\n [\n -76.2454605102539,\n 34.914088616906106\n ],\n [\n -76.2454605102539,\n 35.03449433167976\n ],\n [\n -76.41540527343749,\n 35.03449433167976\n ],\n [\n -76.41540527343749,\n 34.914088616906106\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.74592590332031,\n 35.801943102768846\n ],\n [\n -75.59761047363281,\n 35.801943102768846\n ],\n [\n -75.59761047363281,\n 35.94688293218141\n ],\n [\n -75.74592590332031,\n 35.94688293218141\n ],\n [\n -75.74592590332031,\n 35.801943102768846\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"160","publishingServiceCenter":{"id":9,"text":"Reston 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University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":717796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Donald C.","contributorId":198985,"corporation":false,"usgs":false,"family":"Barber","given":"Donald","email":"","middleInitial":"C.","affiliations":[{"id":6651,"text":"Bryn Mawr College, Bryn Mawr, PA","active":true,"usgs":false}],"preferred":false,"id":717797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mallinson, David J.","contributorId":198986,"corporation":false,"usgs":false,"family":"Mallinson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":717798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leorri, Eduardo","contributorId":198987,"corporation":false,"usgs":false,"family":"Leorri","given":"Eduardo","email":"","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":717799,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":717793,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cahill, Niamh","contributorId":150754,"corporation":false,"usgs":false,"family":"Cahill","given":"Niamh","email":"","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false},{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":717800,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Riggs, Stanley R.","contributorId":198988,"corporation":false,"usgs":false,"family":"Riggs","given":"Stanley","email":"","middleInitial":"R.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":717801,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Woodson, Anna L.","contributorId":198989,"corporation":false,"usgs":false,"family":"Woodson","given":"Anna","email":"","middleInitial":"L.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false},{"id":6651,"text":"Bryn Mawr College, Bryn Mawr, PA","active":true,"usgs":false}],"preferred":false,"id":717802,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mulligan, Ryan P.","contributorId":194423,"corporation":false,"usgs":false,"family":"Mulligan","given":"Ryan","email":"","middleInitial":"P.","affiliations":[{"id":35723,"text":"Queen's University - Kingston, Ontario","active":true,"usgs":false}],"preferred":false,"id":721687,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false},{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":721688,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70191882,"text":"70191882 - 2017 - Vulnerabilities to climate change of Massachusetts animal species of greatest conservation need","interactions":[],"lastModifiedDate":"2020-07-27T19:00:31.426756","indexId":"70191882","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Vulnerabilities to climate change of Massachusetts animal species of greatest conservation need","docAbstract":"Over the last decade, the Commonwealth of Massachusetts has addressed the potential and actual impacts of climate change on state flora and fauna. The state’s involvement began in 2007 when, led by the Division of Fisheries and Wildlife (DFW) and assisted by Manomet Center for Con-servation Research, it carried out one of the first habitat vulnerability assessments in North America (Manomet, 2010). The new methods and processes that resulted were later applied to vulnerability assessments in North America and elsewhere. In 2011, the state assisted the North-eastern Association of Fish and Wildlife Agencies (NEAFWA) in organizing and leading a pio-neering three-year, thirteen-state research effort to evaluate the vulnerabilities of fish and wild-life habitats to climate change in the northeast, from Maine south to West Virginia (NEAFWA, 2012).
This focus on climate change vulnerabilities led to three important early realizations: (1) simply categorizing and scoring vulnerabilities might not lead to better conservation outcomes. It was vital to also understand why some resources were more or less vulnerable to climate change in order to identify potential intervention points on which conservation actions and strategies could be based. (2) simply producing research results was not enough; these results had to be cast as specific conservation actions. Moreover (3), these actions needed to be communicated in a useful form to conservation “actors”, such as state agencies, land trusts, land managers, etc. These real-izations led to the next step on the Commonwealth’s journey to effective conservation in an age of climate change - the Massachusetts Wildlife Climate Action Tool (CAT).
","language":"English","publisher":"Massachusetts Department of Fish and Wildlife","usgsCitation":"Galbraith, H., and Morelli, T.L., 2017, Vulnerabilities to climate change of Massachusetts animal species of greatest conservation need, 19 p.","productDescription":"19 p.","ipdsId":"IP-079595","costCenters":[{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":352202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346877,"type":{"id":15,"text":"Index Page"},"url":"https://necsc.umass.edu/biblio/vulnerabilities-climate-change-massachusetts-animal-species-greatest-conservation-need"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8c4e4b0da30c1bfc4a2","contributors":{"authors":[{"text":"Galbraith, Hector","contributorId":197459,"corporation":false,"usgs":false,"family":"Galbraith","given":"Hector","email":"","affiliations":[],"preferred":false,"id":713532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morelli, Toni L. 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":189143,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":713531,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70186150,"text":"70186150 - 2017 - Managing native predators: Evidence from a partial removal of raccoons (Procyon lotor) on the Outer Banks of North Carolina, USA","interactions":[],"lastModifiedDate":"2017-03-30T11:10:56","indexId":"70186150","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Managing native predators: Evidence from a partial removal of raccoons (Procyon lotor) on the Outer Banks of North Carolina, USA","docAbstract":"Raccoons (Procyon lotor) are important predators of ground-nesting species in coastal systems. They have been identified as a primary cause of nest failure for the American Oystercatcher (Haematopus palliatus) throughout its range. Concerns over the long-term effects of raccoon predation and increased nest success following a hurricane inspired a mark-resight study of the raccoon population on a barrier island off North Carolina, USA. Approximately half of the raccoons were experimentally removed in 2008. Nests (n = 700) were monitored on two adjacent barrier islands during 2004–2013. Daily nest survival estimates were highest for 2004 (0.974 ± 0.005) and lowest for 2007 and 2008 (0.925 ± 0.009 and 0.925 ± 0.010, respectively). The only model in our candidate set that received any support included island and time of season, along with a diminishing effect of the hurricane and a constant, 5-year effect of the raccoon removal. For both hurricane and raccoon removal, however, the support for island-specific effects was weak (β = -0.204 ± 0.116 and 0.146 ± 0.349, respectively). We conclude that either the raccoon reduction was inadequate, or factors other than predation cause more variation in nest success than previously recognized. A multi-faceted approach to management aimed at reducing nest losses to storm overwash, predation, and human disturbance is likely to yield the largest population level benefits.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.040.sp103","usgsCitation":"Stocking, J.J., Simons, T.R., Parsons, A.W., and O’Connell, A.F., 2017, Managing native predators: Evidence from a partial removal of raccoons (Procyon lotor) on the Outer Banks of North Carolina, USA: Waterbirds, v. 40, no. sp1, p. 10-18, https://doi.org/10.1675/063.040.sp103.","productDescription":"9 p.","startPage":"10","endPage":"18","ipdsId":"IP-071197","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":338798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.7449951171875,\n 34.56764471968292\n ],\n [\n -75.91552734375,\n 34.56764471968292\n ],\n [\n -75.91552734375,\n 35.1356330179272\n ],\n [\n -76.7449951171875,\n 35.1356330179272\n ],\n [\n -76.7449951171875,\n 34.56764471968292\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"sp1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194de4b02ff32c699c91","contributors":{"authors":[{"text":"Stocking, Jessica J.","contributorId":68626,"corporation":false,"usgs":true,"family":"Stocking","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":687692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":687675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Arielle W.","contributorId":91383,"corporation":false,"usgs":true,"family":"Parsons","given":"Arielle","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":687693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":687676,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197367,"text":"70197367 - 2017 - Features of resilience","interactions":[],"lastModifiedDate":"2018-05-31T14:58:39","indexId":"70197367","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5016,"text":"Environment Systems and Decisions","active":true,"publicationSubtype":{"id":10}},"title":"Features of resilience","docAbstract":"The National Academy of Sciences (NAS) definition of resilience is used here to organize common concepts and synthesize a set of key features of resilience that can be used across diverse application domains. The features in common include critical functions (services), thresholds, cross-scale (both space and time) interactions, and memory and adaptive management. We propose a framework for linking these features to the planning, absorbing, recovering, and adapting phases identified in the NAS definition. The proposed delineation of resilience can be important in understanding and communicating resilience concepts.
","language":"English","publisher":"Springer","doi":"10.1007/s10669-017-9634-9","usgsCitation":"Connelly, E.B., Allen, C.R., Hatfield, K., Palma-Oliveira, J.M., Woods, D.D., and Linkov, I., 2017, Features of resilience: Environment Systems and Decisions, v. 37, no. 1, p. 46-50, https://doi.org/10.1007/s10669-017-9634-9.","productDescription":"5 p.","startPage":"46","endPage":"50","ipdsId":"IP-085139","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470032,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1346540","text":"External Repository"},{"id":354646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-20","publicationStatus":"PW","scienceBaseUri":"5b155ee1e4b092d9651e1bbf","contributors":{"authors":[{"text":"Connelly, Elizabeth B.","contributorId":205341,"corporation":false,"usgs":false,"family":"Connelly","given":"Elizabeth","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":736995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":736883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatfield, Kirk","contributorId":205342,"corporation":false,"usgs":false,"family":"Hatfield","given":"Kirk","email":"","affiliations":[],"preferred":false,"id":736996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palma-Oliveira, Jose M.","contributorId":205343,"corporation":false,"usgs":false,"family":"Palma-Oliveira","given":"Jose","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":736997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woods, David D.","contributorId":205344,"corporation":false,"usgs":false,"family":"Woods","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":736998,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Linkov, Igor","contributorId":172407,"corporation":false,"usgs":false,"family":"Linkov","given":"Igor","email":"","affiliations":[],"preferred":false,"id":736999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189498,"text":"70189498 - 2017 - Isotopic niches support the resource breadth hypothesis","interactions":[],"lastModifiedDate":"2018-03-28T11:19:38","indexId":"70189498","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic niches support the resource breadth hypothesis","docAbstract":"The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in the vulnerability of the Nation's coasts to extreme storms. On March 8–9, 2016, the USGS conducted an oblique aerial photographic survey from Assateague Island, Virginia, to Montauk Point, New York, aboard a Cessna 182 aircraft at an altitude of 500 feet and approximately 1,200 feet offshore. This mission was conducted to collect baseline data for assessing incremental changes in the beach and nearshore area and can be used to assess future coastal change.
The photographs in this report document the state of the barrier islands and other coastal features at the time of the survey.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1030","usgsCitation":"Morgan, K.L.M., 2017, Winter 2016, part B—Coastal oblique aerial photographs collected from Assateague Island, Virginia, to Montauk Point, New York, March 8–9, 2016: U.S. Geological Survey Data Series 1030, https://doi.org/10.3133/ds1030.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077764","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":334921,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/ds1029","text":"Data Series 1029","linkFileType":{"id":5,"text":"html"},"description":"DS 1029 HTML","linkHelpText":"Winter 2016, Part A—Coastal Oblique Aerial Photographs Collected from the South Carolina/North Carolina Border to Assateague Island, Virginia, February 18–19, 2016"},{"id":334919,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1030/coverthb1.jpg"},{"id":334920,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1030/index.html","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1030 HTML"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, Virginia","otherGeospatial":"Assateague Island, Montauk Point","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.860595703125,\n 37.80978395301097\n ],\n [\n -75.9759521484375,\n 37.62728430268013\n ],\n [\n -75.8770751953125,\n 37.47921744485059\n ],\n [\n -75.7122802734375,\n 37.4530574713902\n ],\n [\n -75.2947998046875,\n 37.688167468408025\n ],\n [\n -75.025634765625,\n 38.06971703320484\n ],\n [\n -74.9871826171875,\n 38.40194908237822\n ],\n [\n -74.959716796875,\n 38.67264490154078\n ],\n [\n -74.7454833984375,\n 38.92522904714054\n ],\n [\n -74.44335937499999,\n 39.10875135935859\n ],\n [\n -74.1741943359375,\n 39.40224434029275\n ],\n [\n -73.992919921875,\n 39.71986348549762\n ],\n [\n -73.80615234375,\n 40.174676220563384\n ],\n [\n -73.7786865234375,\n 40.30885442563766\n ],\n [\n -73.65234375,\n 40.41767833585549\n ],\n [\n -73.3392333984375,\n 40.51379915504413\n ],\n [\n -71.8121337890625,\n 40.88860081193033\n ],\n [\n -71.70776367187499,\n 41.008920735004885\n ],\n [\n -71.4166259765625,\n 41.19518982948957\n ],\n [\n -71.55944824218749,\n 41.269549502842565\n ],\n [\n -71.98791503906249,\n 41.31907562295136\n ],\n [\n -72.498779296875,\n 41.31907562295136\n ],\n [\n -73.5205078125,\n 41.13315883477399\n ],\n [\n -74.124755859375,\n 40.834593138080244\n ],\n [\n -74.454345703125,\n 40.300476079749494\n ],\n [\n -74.6246337890625,\n 39.71141252523694\n ],\n [\n -74.8114013671875,\n 39.51675478434242\n ],\n [\n -75.0531005859375,\n 39.232253141714885\n ],\n [\n -75.4925537109375,\n 38.53527591154413\n ],\n [\n -75.69580078125,\n 37.97451499202459\n ],\n [\n -75.860595703125,\n 37.80978395301097\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
(727) 502–8000
https://coastal.er.usgs.gov/
The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in the vulnerability of the Nation's coasts to extreme storms. On February 18–19, 2016, the USGS conducted an oblique aerial photographic survey from the South Carolina/North Carolina border to Assateague Island, Virginia, aboard a Cessna 182 (aircraft) at an altitude of 500 feet (ft) and approximately 1,200 ft offshore. This mission was flown to collect baseline data for assessing incremental changes in the beach and nearshore area and can be used to assess future coastal change.
The photographs in this report document the state of the barrier islands and other coastal features at the time of the survey.
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U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
(727) 502–8000
https://coastal.er.usgs.gov/
No abstract available.
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