The formation of perched deltas and other lacustrine deposits in the McMurdo Dry Valleys of Antarctica is widely considered to be evidence of valley-filling lakes dammed by the grounded Ross Sea ice sheet during the local Last Glacial Maximum, with lake drainage interpreted as a record of grounding line retreat. We used luminescence dating to determine the age of paleolake deltas and glacial tills in Garwood Valley, a coastal dry valley that opens to the Ross Sea. Luminescence ages are stratigraphically consistent with radiocarbon results from algal mats within the same delta deposits but suggest radiocarbon dates from lacustrine carbonates may overestimate deposit ages by thousands of years. Results suggest that late Holocene delta deposition into paleolake Howard in Garwood Valley persisted until ca. 3.5 ka. This is significantly younger than the date when grounded ice is thought to have retreated from the Ross Sea. Our evidence suggests that the local, stranded ice-cored till topography in Garwood Valley, rather than regional ice-sheet dynamics, may have controlled lake levels for some McMurdo Dry Valleys paleolakes. Age control from the supraglacial Ross Sea drift suggests grounding and up-valley advance of the Ross Sea ice sheet into Garwood valley during marine oxygen isotope stage (MIS) 4 (71–78 ka) and the local Last Glacial Maximum (9–10 ka). This work demonstrates the power of combining luminescence dating with existing radiocarbon data sets to improve understanding of the relationships among paleolake formation, glacial position, and stream discharge in response to climate change.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31539.1","usgsCitation":"Levy, J.S., Rittenour, T.M., Fountain, A.G., and O'Connor, J., 2017, Luminescence dating of paleolake deltas and glacial deposits in Garwood Valley, Antarctica: Implications for climate, Ross ice sheet dynamics, and paleolake duration: GSA Bulletin, v. 129, no. 9-10, p. 1071-1084, https://doi.org/10.1130/B31539.1.","productDescription":"14 p.","startPage":"1071","endPage":"1084","ipdsId":"IP-081563","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Garwood Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 162.57810708401985,\n -77.92420898064601\n ],\n [\n 162.57810708401985,\n -78.2292273580918\n ],\n [\n 163.64743653657746,\n -78.2292273580918\n ],\n [\n 163.64743653657746,\n -77.92420898064601\n ],\n [\n 162.57810708401985,\n -77.92420898064601\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"9-10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-28","publicationStatus":"PW","scienceBaseUri":"5a60fb5be4b06e28e9c22fa5","contributors":{"authors":[{"text":"Levy, Joseph S.","contributorId":201143,"corporation":false,"usgs":false,"family":"Levy","given":"Joseph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":724427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fountain, Andrew G.","contributorId":10410,"corporation":false,"usgs":false,"family":"Fountain","given":"Andrew","email":"","middleInitial":"G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":724428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":724425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196118,"text":"70196118 - 2017 - Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana","interactions":[],"lastModifiedDate":"2018-03-21T09:51:57","indexId":"70196118","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5656,"text":"Irrigation & Drainage Systems Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana","docAbstract":"According to the 2005 U.S. Geological Survey national water use compilation, irrigation is the second largest use of fresh water in the United States, accounting for 37%, or 484.48 million cubic meters per day, of total freshwater withdrawal. Accurately estimating the amount of water withdrawals and actual consumptive water use (the difference between water withdrawals and return flow) for irrigation at a regional scale is difficult. Remote sensing methods make it possible to compare actual ET (ETa) rates which can serve as a proxy for consumptive water use from different irrigation regimes at a regional scale in a systematic manner. This study investigates crucial components of water use from irrigation such as the difference of ETa rates from flood- and sprinkler-irrigated fields, spatial variability of ETa within a watershed, and the effect of sprinkler irrigation on the water budget of the study area. The mean accumulated ETa depth for the 1,051 square kilometer study area within the upper Smith River watershed was about 467 mm 30-meter per pixel for the 2007 growing season (April through mid-October). The total accumulated volume of ETa for the study area was about 474.705 million cubic meters. The mean accumulated ETa depth from sprinkler-irrigated land was about 687 mm and from flood-irrigated land was about 621 mm from flood-irrigated land. On average, the ETa rate from sprinkler-irrigated fields was 0.25 mm per day higher than flood-irrigated fields over the growing season. Spatial analysis showed that ETa rates within individual fields of a single crop type that are irrigated with a single method (sprinkler or flood) can vary up to about 8 mm per day. It was estimated that the amount of sprinkler irrigation in 2007 accounted for approximately 3% of the total volume of ETa in the study area. When compared to non-irrigated dryland, sprinkler irrigation increases ETa by about 59 to 82% per unit area.
","language":"English","publisher":"OMICS International","doi":"10.4172/2168-9768.1000188","usgsCitation":"Sando, R., Caldwell, R.R., and Blasch, K.W., 2017, Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana: Irrigation & Drainage Systems Engineering, v. 6, no. 2, p. 1-10, https://doi.org/10.4172/2168-9768.1000188.","productDescription":"Article 1000188; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-064076","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":469560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4172/2168-9768.1000188","text":"Publisher Index Page"},{"id":352681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Smith River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.456298828125,\n 46.25\n ],\n [\n -110.54443359375,\n 46.25\n ],\n [\n -110.54443359375,\n 46.82731489926434\n ],\n [\n -111.456298828125,\n 46.82731489926434\n ],\n [\n -111.456298828125,\n 46.25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3cc","contributors":{"authors":[{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":731435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":731437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blasch, Kyle W. 0000-0002-0590-0724 kblasch@usgs.gov","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":1631,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"kblasch@usgs.gov","middleInitial":"W.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":731436,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195972,"text":"70195972 - 2017 - Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal","interactions":[],"lastModifiedDate":"2018-03-09T16:23:33","indexId":"70195972","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal","title":"Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal","docAbstract":"The 25 April 2015 Mw 7.8 Gorkha earthquake produced strong ground motions across an approximately 250 km by 100 km swath in central Nepal. To assist disaster response activities, we modified an existing earthquake-triggered landslide model based on a Newmark sliding block analysis to estimate the extent and intensity of landsliding and landslide dam hazard. Landslide hazard maps were produced using Shuttle Radar Topography Mission (SRTM) digital topography, peak ground acceleration (PGA) information from the U.S. Geological Survey (USGS) ShakeMap program, and assumptions about the regional rock strength based on end-member values from previous studies. The instrumental record of seismicity in Nepal is poor, so PGA estimates were based on empirical Ground Motion Prediction Equations (GMPEs) constrained by teleseismic data and felt reports. We demonstrate a non-linear dependence of modeled landsliding on aggregate rock strength, where the number of landslides decreases exponentially with increasing rock strength. Model estimates are less sensitive to PGA at steep slopes (> 60°) compared to moderate slopes (30–60°). We compare forward model results to an inventory of landslides triggered by the Gorkha earthquake. We show that moderate rock strength inputs over estimate landsliding in regions beyond the main slip patch, which may in part be related to poorly constrained PGA estimates for this event at far distances from the source area. Directly above the main slip patch, however, the moderate strength model accurately estimates the total number of landslides within the resolution of the model (landslides ≥ 0.0162 km2; observed n = 2214, modeled n = 2987), but the pattern of landsliding differs from observations. This discrepancy is likely due to the unaccounted for effects of variable material strength and local topographic amplification of strong ground motion, as well as other simplifying assumptions about source characteristics and their relationship to landsliding.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2016.10.031","usgsCitation":"Gallen, S.F., Clark, M., Godt, J.W., Roback, K., and Niemi, N., 2017, Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal: Tectonophysics, v. 714-715, p. 173-187, https://doi.org/10.1016/j.tecto.2016.10.031.","productDescription":"15 p.","startPage":"173","endPage":"187","ipdsId":"IP-078904","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":469563,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tecto.2016.10.031","text":"Publisher Index Page"},{"id":352395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 84.53979492187499,\n 26.46073804319089\n ],\n [\n 86.98974609375,\n 26.46073804319089\n ],\n [\n 86.98974609375,\n 28.719496107557465\n ],\n [\n 84.53979492187499,\n 28.719496107557465\n ],\n [\n 84.53979492187499,\n 26.46073804319089\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"714-715","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3ce","contributors":{"authors":[{"text":"Gallen, Sean F.","contributorId":139683,"corporation":false,"usgs":false,"family":"Gallen","given":"Sean","email":"","middleInitial":"F.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin K.","contributorId":139684,"corporation":false,"usgs":false,"family":"Clark","given":"Marin K.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":730748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roback, Kevin","contributorId":200288,"corporation":false,"usgs":false,"family":"Roback","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":730751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Niemi, Nathan A","contributorId":203251,"corporation":false,"usgs":false,"family":"Niemi","given":"Nathan A","affiliations":[{"id":36590,"text":"Dept. of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197044,"text":"70197044 - 2017 - Urban forest management in New England: Towards a contemporary understanding of tree wardens in Massachusetts communities","interactions":[],"lastModifiedDate":"2018-05-15T16:15:25","indexId":"70197044","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5687,"text":"Arboricultural Journal","active":true,"publicationSubtype":{"id":10}},"title":"Urban forest management in New England: Towards a contemporary understanding of tree wardens in Massachusetts communities","docAbstract":"In the New England states, tree wardens are local officials responsible for the preservation, maintenance and stewardship of municipal public trees. This study explores the emerging professional challenges, duties and responsibilities of tree wardens, from the subject’s point of view, by conducting in-person, semi-structured qualitative research interviews with 50 tree wardens throughout Massachusetts. Many of the findings corroborate previous literature, including that tree wardens are typically housed in a municipal department (often public works or highway), that tree wardens routinely interact with a wide variety of local organisations (representatives from other municipal departments, community volunteer associations) and that as community size increases, tree wardens typically have access to a greater pool of resources to carry out urban forest management. A newer finding is that the subject of urban forest health arose as a topic of great importance for tree wardens, as nearly all interviewees (n = 49) indicated that they monitor for urban forest pests and that they would like further continuing education concerning this subject.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03071375.2017.1369774","usgsCitation":"Harper, R., Bloniarz, D., DeStefano, S., and Nicolson, C., 2017, Urban forest management in New England: Towards a contemporary understanding of tree wardens in Massachusetts communities: Arboricultural Journal, v. 39, no. 3, p. 162-178, https://doi.org/10.1080/03071375.2017.1369774.","productDescription":"17 p.","startPage":"162","endPage":"178","ipdsId":"IP-078318","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","volume":"39","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-13","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3c8","contributors":{"authors":[{"text":"Harper, Richard W.","contributorId":204920,"corporation":false,"usgs":false,"family":"Harper","given":"Richard W.","affiliations":[],"preferred":false,"id":735446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bloniarz, David V.","contributorId":204921,"corporation":false,"usgs":false,"family":"Bloniarz","given":"David V.","affiliations":[],"preferred":false,"id":735447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":735361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicolson, Craig","contributorId":8565,"corporation":false,"usgs":true,"family":"Nicolson","given":"Craig","email":"","affiliations":[],"preferred":false,"id":735448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188428,"text":"70188428 - 2017 - Assessment of forest degradation in Vietnam using Landsat time series data","interactions":[],"lastModifiedDate":"2017-09-18T16:35:26","indexId":"70188428","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of forest degradation in Vietnam using Landsat time series data","docAbstract":"Landsat time series data were used to characterize forest degradation in Lam Dong Province, Vietnam. We conducted three types of image change analyses using Landsat time series data to characterize the land cover changes. Our analyses concentrated on the timeframe of 1973–2014, with much emphasis on the latter part of that range. We conducted a field trip through Lam Dong Province to develop a better understanding of the ground conditions of the region, during which we obtained many photographs of representative forest sites with Global Positioning System locations to assist us in our image interpretations. High-resolution Google Earth imagery and Landsat data of the region were used to validate results. In general, our analyses indicated that many land-use changes have occurred throughout Lam Dong Province, including gradual forest to non-forest transitions. Recent changes are most marked along the relatively narrow interfaces between agricultural and forest areas that occur towards the boundaries of the province. One important observation is that the most highly protected national reserves in the region have not changed much over the entire Landsat timeframe (1972–present). Spectral changes within these regions have not occurred at the same levels as those areas adjacent to the reserves.
","language":"English","publisher":"MDPI","doi":"10.3390/f8070238","usgsCitation":"Vogelmann, J., Van Khoa, P., Lan, X., Shermeyer, J.S., Shi, H., Wimberly, M.C., Tat Duong, H., and Van Huong, L., 2017, Assessment of forest degradation in Vietnam using Landsat time series data: Forests, v. 8, no. 7, p. 1-22, https://doi.org/10.3390/f8070238.","productDescription":"Article 238; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-087749","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8070238","text":"Publisher Index Page"},{"id":345866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Vietnam","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[108.05018,21.55238],[106.71507,20.69685],[105.88168,19.75205],[105.66201,19.05817],[106.42682,18.00412],[107.36195,16.69746],[108.2695,16.07974],[108.87711,15.27669],[109.33527,13.42603],[109.20014,11.66686],[108.36613,11.00832],[107.22093,10.36448],[106.40511,9.53084],[105.15826,8.59976],[104.79519,9.24104],[105.0762,9.91849],[104.33433,10.48654],[105.19991,10.88931],[106.24967,10.96181],[105.81052,11.56761],[107.4914,12.33721],[107.61455,13.53553],[107.38273,14.20244],[107.56453,15.20217],[107.31271,15.90854],[106.55601,16.60428],[105.92576,17.48532],[105.0946,18.66697],[103.89653,19.26518],[104.18339,19.62467],[104.82257,19.88664],[104.435,20.75873],[103.20386,20.76656],[102.7549,21.67514],[102.17044,22.46475],[102.70699,22.7088],[103.50451,22.70376],[104.47686,22.81915],[105.32921,23.35206],[105.81125,22.97689],[106.7254,22.79427],[106.56727,22.2182],[107.04342,21.8119],[108.05018,21.55238]]]},\"properties\":{\"name\":\"Vietnam\"}}]}","volume":"8","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-04","publicationStatus":"PW","scienceBaseUri":"59c0db1ee4b091459a5f4733","contributors":{"authors":[{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Khoa, Phung","contributorId":192766,"corporation":false,"usgs":false,"family":"Van Khoa","given":"Phung","email":"","affiliations":[],"preferred":false,"id":697699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lan, Xuan","contributorId":192767,"corporation":false,"usgs":false,"family":"Lan","given":"Xuan","email":"","affiliations":[],"preferred":false,"id":697700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shermeyer, Jacob S. 0000-0002-8143-2790 jshermeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8143-2790","contributorId":5825,"corporation":false,"usgs":true,"family":"Shermeyer","given":"Jacob","email":"jshermeyer@usgs.gov","middleInitial":"S.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":697701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":192768,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":697702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wimberly, Michael C.","contributorId":167855,"corporation":false,"usgs":false,"family":"Wimberly","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":697703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tat Duong, Hoang","contributorId":192770,"corporation":false,"usgs":false,"family":"Tat Duong","given":"Hoang","email":"","affiliations":[],"preferred":false,"id":697704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Huong, Le","contributorId":192771,"corporation":false,"usgs":false,"family":"Van Huong","given":"Le","email":"","affiliations":[],"preferred":false,"id":697705,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70197053,"text":"70197053 - 2017 - Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation","interactions":[],"lastModifiedDate":"2018-05-15T15:37:18","indexId":"70197053","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation","docAbstract":"Crayfish are ecologically important in freshwater systems worldwide and are imperiled in North America and globally. We sought to examine landscape- to local-scale environmental variables related to occupancy and detection probability of a suite of stream-dwelling crayfish species. We used a quantitative kickseine method to sample crayfish presence at 102 perennial stream sites with eight surveys per site. We modeled occupancy (psi) and detection probability (P) and local- and landscape-scale environmental covariates. We developed a set of a priori candidate models for each species and ranked models using (Q)AICc. Detection probabilities and occupancy estimates differed among crayfish species with Orconectes eupunctus, O. marchandi, and Cambarus hubbsi being relatively rare (psi < 0.20) with moderate (0.46–0.60) to high (0.81) detection probability and O. punctimanus and O. ozarkae being relatively common (psi > 0.60) with high detection probability (0.81). Detection probability was often related to local habitat variables current velocity, depth, or substrate size. Important environmental variables for crayfish occupancy were species dependent but were mainly landscape variables such as stream order, geology, slope, topography, and land use. Landscape variables strongly influenced crayfish occupancy and should be considered in future studies and conservation plans.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-017-3215-2","usgsCitation":"Magoulick, D.D., DiStefano, R.J., Imhoff, E.M., Nolen, M.S., and Wagner, B.K., 2017, Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation: Hydrobiologia, v. 799, no. 1, p. 217-231, https://doi.org/10.1007/s10750-017-3215-2.","productDescription":"15 p.","startPage":"217","endPage":"231","ipdsId":"IP-080483","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Black River","volume":"799","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-29","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3c6","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","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":735379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiStefano, Robert J.","contributorId":204893,"corporation":false,"usgs":false,"family":"DiStefano","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":735380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Imhoff, Emily M.","contributorId":204894,"corporation":false,"usgs":false,"family":"Imhoff","given":"Emily","email":"","middleInitial":"M.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":735381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nolen, Matthew S.","contributorId":204895,"corporation":false,"usgs":false,"family":"Nolen","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":16695,"text":"Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":735382,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Brian K.","contributorId":204896,"corporation":false,"usgs":false,"family":"Wagner","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":735383,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193567,"text":"70193567 - 2017 - Forestry best management practices relationships with aquatic and riparian fauna: A review","interactions":[],"lastModifiedDate":"2017-11-06T11:21:22","indexId":"70193567","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Forestry best management practices relationships with aquatic and riparian fauna: A review","docAbstract":"Forestry best management practices (BMPs) were developed to minimize water pollution from forestry operations by primarily addressing sediment and sediment transport, which is the leading source of pollution from silviculture. Implementation of water quality BMPs may also benefit riparian and aquatic wildlife, although wildlife benefits were not driving forces for BMP development. Therefore, we reviewed literature regarding potential contributions of sediment-reducing BMPs to conservation of riparian and aquatic wildlife, while realizing that BMPs also minimize thermal, nutrient, and chemical pollution. We reached five important conclusions: (1) a significant body of research confirms that forestry BMPs contribute to the protection of water quality and riparian forest structure; (2) data-specific relationships between forestry BMPs and reviewed species are limited; (3) forestry BMPs for forest road construction and maintenance, skid trails, stream crossings, and streamside management zones (SMZs) are important particularly for protection of water quality and aquatic species; (4) stream crossings should be carefully selected and installed to minimize sediment inputs and stream channel alterations; and (5) SMZs promote retention of older-age riparian habitat with benefits extending from water bodies to surrounding uplands. Overall, BMPs developed for protection of water quality should benefit a variety of riparian and aquatic species that are sensitive to changes in water quality or forest structure.
","language":"English","publisher":"MDPI","doi":"10.3390/f8090331","usgsCitation":"Warrington, B.M., Aust, W.M., Barrett, S.M., Ford, W.M., Dolloff, C.A., Schilling, E.B., Wigley, T.B., and Bolding, M.C., 2017, Forestry best management practices relationships with aquatic and riparian fauna: A review: Forests, v. 8, no. 9, p. 1-16, https://doi.org/10.3390/f8090331.","productDescription":"Article 331 p.; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-090020","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469572,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8090331","text":"Publisher Index Page"},{"id":348259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-07","publicationStatus":"PW","scienceBaseUri":"5a07e889e4b09af898c8cb7d","contributors":{"authors":[{"text":"Warrington, Brooke M.","contributorId":199538,"corporation":false,"usgs":false,"family":"Warrington","given":"Brooke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aust, W. Michael","contributorId":199539,"corporation":false,"usgs":false,"family":"Aust","given":"W.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":719382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, Scott M.","contributorId":199540,"corporation":false,"usgs":false,"family":"Barrett","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dolloff, C. Andrew","contributorId":97405,"corporation":false,"usgs":true,"family":"Dolloff","given":"C.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":719384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schilling, Erik B.","contributorId":200017,"corporation":false,"usgs":false,"family":"Schilling","given":"Erik","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":720667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wigley, T. Bently","contributorId":169749,"corporation":false,"usgs":false,"family":"Wigley","given":"T.","email":"","middleInitial":"Bently","affiliations":[],"preferred":false,"id":720668,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bolding, M. Chad","contributorId":200018,"corporation":false,"usgs":false,"family":"Bolding","given":"M.","email":"","middleInitial":"Chad","affiliations":[],"preferred":false,"id":720669,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193256,"text":"70193256 - 2017 - Landsat-8 TIRS thermal radiometric calibration status","interactions":[],"lastModifiedDate":"2022-04-13T20:29:00.342257","indexId":"70193256","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat-8 TIRS thermal radiometric calibration status","docAbstract":"The Thermal Infrared Sensor (TIRS) instrument is the thermal-band imager on the Landsat-8 platform. The initial onorbit calibration estimates of the two TIRS spectral bands indicated large average radiometric calibration errors, -0.29 and -0.51 W/m2 sr μm or -2.1K and -4.4K at 300K in Bands 10 and 11, respectively, as well as high variability in the errors, 0.87K and 1.67K (1-σ), respectively. The average error was corrected in operational processing in January 2014, though, this adjustment did not improve the variability. The source of the variability was determined to be stray light from far outside the field of view of the telescope. An algorithm for modeling the stray light effect was developed and implemented in the Landsat-8 processing system in February 2017. The new process has improved the overall calibration of the two TIRS bands, reducing the residual variability in the calibration from 0.87K to 0.51K at 300K for Band 10 and from 1.67K to 0.84K at 300K for Band 11. There are residual average lifetime bias errors in each band: 0.04 W/m2 sr μm (0.30K) and -0.04 W/m2 sr μm (-0.29K), for Bands 10 and 11, respectively.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Volume 10402, Earth Observing Systems XXII","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"SPIE","doi":"10.1117/12.2276045","usgsCitation":"Barsi, J.A., Markham, B.L., Montanaro, M., Gerace, A., Hook, S., Schott, J.R., Raqueno, N.G., and Morfitt, R., 2017, Landsat-8 TIRS thermal radiometric calibration status, in Proceedings Volume 10402, Earth Observing Systems XXII, 11 p., https://doi.org/10.1117/12.2276045.","productDescription":"11 p.","ipdsId":"IP-089775","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fc5","contributors":{"authors":[{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":718387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markham, Brian L.","contributorId":90482,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":718388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montanaro, Matthew","contributorId":147004,"corporation":false,"usgs":false,"family":"Montanaro","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":718389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerace, Aaron","contributorId":199173,"corporation":false,"usgs":false,"family":"Gerace","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":718390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hook, Simon","contributorId":150339,"corporation":false,"usgs":false,"family":"Hook","given":"Simon","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":718391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schott, John R.","contributorId":199175,"corporation":false,"usgs":false,"family":"Schott","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":718392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raqueno, Nina G.","contributorId":199176,"corporation":false,"usgs":false,"family":"Raqueno","given":"Nina","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":718393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":718386,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192755,"text":"70192755 - 2017 - Effects of breeder turnover and harvest on group composition and recruitment in a social carnivore","interactions":[],"lastModifiedDate":"2017-11-08T12:48:50","indexId":"70192755","displayToPublicDate":"2017-09-01T00:00:00","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":"Effects of breeder turnover and harvest on group composition and recruitment in a social carnivore","docAbstract":"Federal land managers and ranchers often use prescribed fire as a tool to reduce invading woody plants within desert grasslands of the arid southwestern United States. Managers must evaluate the threat of the burn toward the health and survival of plants of concern including how preemptive clearing before prescribed fire might benefit these species. One example is the endangered Pima pineapple cactus (Coryphantha scheeri var. robustispina), a small hemispheric cactus of desert scrublands and grasslands of south-central Arizona and northern Sonora, Mexico. In 2014, we examined survival of Pima pineapple cactus documented in 2009 or 2010 within grasslands of Buenos Aires National Wildlife Refuge in Arizona. Of the 72 sites observed, 35 had no burn after documentation and 37 experienced prescribed fire. Refuge staff removed vegetation between 0.3 and 3.0 m from the cactus preburn. We found that Pima pineapple cacti in areas subjected to prescribed fire and with preemptive clearing had the same survival statistically as cacti from sites that were not burned.
","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-62.3.200","usgsCitation":"Thomas, K.A., Jarchow, C., and Crawford, J.A., 2017, Survival of the endangered Pima pineapple cactus: Does clearing before prescribed fire alter survival postfire?: Southwestern Naturalist, v. 62, no. 3, p. 200-206, https://doi.org/10.1894/0038-4909-62.3.200.","productDescription":"7 p.","startPage":"200","endPage":"206","ipdsId":"IP-074768","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":349079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Buenos Aires National Wildlife Refuge ","volume":"62","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fb6","contributors":{"authors":[{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":721491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarchow, Christopher 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":196069,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":721492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crawford, Julie A.","contributorId":200230,"corporation":false,"usgs":false,"family":"Crawford","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721493,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193558,"text":"70193558 - 2017 - Book review: Serendipity: An ecologist’s quest to understand nature","interactions":[],"lastModifiedDate":"2017-12-04T10:17:17","indexId":"70193558","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Serendipity: An ecologist’s quest to understand nature","docAbstract":"A common thought among graduate students is: “how do established scientists get where they are today?” In Serendipity: An Ecologist’s Quest to Understand Nature, James Estes offers a personal reflection on research experiences spanning his 50-year career, beginning as a Ph.D. student in 1970 and concluding with recognition as a member of the National Academy of Sciences in 2014. Estes chronologically outlines the foundational trophic cascade ecology research that he and colleagues conducted in the Aleutian Islands, examining key relationships among kelp forests, sea otters, sea urchins, and killer whales through anecdotal stories of achievement and challenge. Estes’ 3 main goals in writing this book are to: (1) recount what he had learned from 50 years of research;...
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyx108","usgsCitation":"Ball, E.E., Adams, D.M., Dupuie, J.N., Jones, M.M., McGovern, P.G., Ruden, R.M., Schmidt, S., Vaziri, G.J., Eeling, J.S., Kirk, B.D., McCombs, A.L., Rabinowitz, A.B., Thompson, K.M., Hudson, Z.J., and Klaver, R.W., 2017, Book review: Serendipity: An ecologist’s quest to understand nature: Journal of Mammalogy, v. 98, no. 5, p. 1509-1510, https://doi.org/10.1093/jmammal/gyx108.","productDescription":"2 p.","startPage":"1509","endPage":"1510","ipdsId":"IP-087773","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyx108","text":"Publisher Index Page"},{"id":349617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-27","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fb9","contributors":{"authors":[{"text":"Ball, E. E.","contributorId":201067,"corporation":false,"usgs":false,"family":"Ball","given":"E.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":724250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, D. M.","contributorId":201068,"corporation":false,"usgs":false,"family":"Adams","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dupuie, J. N. Jr.","contributorId":201069,"corporation":false,"usgs":false,"family":"Dupuie","given":"J.","suffix":"Jr.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":724252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, M. M.","contributorId":201070,"corporation":false,"usgs":false,"family":"Jones","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGovern, P. G.","contributorId":201072,"corporation":false,"usgs":false,"family":"McGovern","given":"P.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":724254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruden, R. M.","contributorId":201073,"corporation":false,"usgs":false,"family":"Ruden","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, S.R.","contributorId":73719,"corporation":false,"usgs":true,"family":"Schmidt","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":724256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vaziri, G. J.","contributorId":201074,"corporation":false,"usgs":false,"family":"Vaziri","given":"G.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724257,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eeling, J. 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J.","contributorId":201079,"corporation":false,"usgs":false,"family":"Hudson","given":"Z.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724263,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":724264,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70191712,"text":"70191712 - 2017 - Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence","interactions":[],"lastModifiedDate":"2017-10-25T10:42:22","indexId":"70191712","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence","docAbstract":"The 2016 Kumamoto, Japan, earthquake sequence, culminating in the Mw=7.0 16 April 2016 main shock, occurred within an active tectonic belt of central Kyushu. GPS data from GEONET reveal transient crustal motions from several millimeters per year up to ∼3 cm/yr during the first 8.5 months following the sequence. The spatial pattern of horizontal postseismic motions is shaped by both shallow afterslip and viscoelastic relaxation of the lower crust and upper mantle. We construct a suite of 2-D regional viscoelastic structures in order to derive an optimal joint afterslip and viscoelastic relaxation model using forward modeling of the viscoelastic relaxation. We find that afterslip dominates the postseismic relaxation in the near field (within 30 km of the main shock epicenter), while viscoelastic relaxation dominates at greater distance. The viscoelastic modeling strongly favors a very weak lower crust below a ∼65 km wide zone coinciding with the Beppu-Shimabara graben and the locus of central Kyushu volcanism. Inferred uppermost mantle viscosity is relatively low beneath southern Kyushu, consistent with independent inferences of a hydrated mantle wedge within the Nankai trough fore -arc.
","language":"English","publisher":"AGU","doi":"10.1002/2017GL074783","usgsCitation":"Pollitz, F., Kobayashi, T., Yarai, H., Shibazaki, B., and Matsumoto, T., 2017, Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence: Geophysical Research Letters, v. 44, no. 17, p. 8795-8803, https://doi.org/10.1002/2017GL074783.","productDescription":"9 p.","startPage":"8795","endPage":"8803","ipdsId":"IP-088335","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","city":"Kumamoto","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 130,\n 31.5\n ],\n [\n 132,\n 31.5\n ],\n [\n 132,\n 34\n ],\n [\n 130,\n 34\n ],\n [\n 130,\n 31.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-09","publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f42","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kobayashi, Tomokazu","contributorId":197291,"corporation":false,"usgs":false,"family":"Kobayashi","given":"Tomokazu","email":"","affiliations":[],"preferred":false,"id":713141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yarai, Hiroshi","contributorId":197292,"corporation":false,"usgs":false,"family":"Yarai","given":"Hiroshi","email":"","affiliations":[],"preferred":false,"id":713142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shibazaki, Bunichiro","contributorId":197293,"corporation":false,"usgs":false,"family":"Shibazaki","given":"Bunichiro","email":"","affiliations":[],"preferred":false,"id":713143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matsumoto, Takumi","contributorId":197294,"corporation":false,"usgs":false,"family":"Matsumoto","given":"Takumi","email":"","affiliations":[],"preferred":false,"id":713144,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190960,"text":"70190960 - 2017 - Mathematical models for plant-herbivore interactions","interactions":[],"lastModifiedDate":"2017-09-19T11:26:15","indexId":"70190960","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Mathematical models for plant-herbivore interactions","docAbstract":"Mathematical Models of Plant-Herbivore Interactions addresses mathematical models in the study of practical questions in ecology, particularly factors that affect herbivory, including plant defense, herbivore natural enemies, and adaptive herbivory, as well as the effects of these on plant community dynamics.
The result of extensive research on the use of mathematical modeling to investigate the effects of plant defenses on plant-herbivore dynamics, this book describes a toxin-determined functional response model (TDFRM) that helps explains field observations of these interactions.
This book is intended for graduate students and researchers interested in mathematical biology and ecology.
","language":"English","publisher":"CRC Press","isbn":"9781498769174","usgsCitation":"Feng, Z., and DeAngelis, D., 2017, Mathematical models for plant-herbivore interactions, 231 p.","productDescription":"231 p.","ipdsId":"IP-086020","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":345883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345870,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Mathematical-Models-of-Plant-Herbivore-Interactions/Feng-DeAngelis/p/book/9781498769174"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c22cb4e4b091459a61b73a","contributors":{"authors":[{"text":"Feng, Zhilan","contributorId":196558,"corporation":false,"usgs":false,"family":"Feng","given":"Zhilan","email":"","affiliations":[],"preferred":false,"id":710758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":127811,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":710757,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193005,"text":"70193005 - 2017 - Diel variation in detection and vocalization rates of king (Rallus elegans) and clapper (Rallus crepitans) rails in intracoastal waterways","interactions":[],"lastModifiedDate":"2017-11-22T16:45:09","indexId":"70193005","displayToPublicDate":"2017-09-01T00:00:00","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}},"displayTitle":"Diel variation in detection and vocalization rates of king (Rallus elegans) and clapper (Rallus crepitans) rails in intracoastal waterways","title":"Diel variation in detection and vocalization rates of king (Rallus elegans) and clapper (Rallus crepitans) rails in intracoastal waterways","docAbstract":"Surveys for secretive marsh birds could be improved with refinements to address regional and species-specific variation in detection probabilities and optimal times of day to survey. Diel variation in relation to naïve occupancy, detection rates, and vocalization rates of King (Rallus elegans) and Clapper (R. crepitans) rails were studied in intracoastal waterways in Virginia, USA. Autonomous acoustic devices recorded vocalizations of King and Clapper rails at 75 locations for 48-hr periods within a marsh complex. Naïve King and Clapper rail occupancy did not vary hourly at either the marsh or the study area level. Combined King and Clapper rail detections and vocalizations varied across marshes, decreased as the sampling season progressed, and, for detections, was greatest during low rising tides (P < 0.01). Hourly variation in vocalization and detection rates did not show a pattern but occurred between 7.8% of pairwise comparisons for detections and 10.5% of pairwise comparisons for vocalizations (P < 0.01). Higher rates of detections and vocalizations occurred during the hours of 00:00–00:59, 05:00–05:59, 14:00–15:59, and lower rates during the hours of 07:00–09:59. Although statistically significant, because there were no patterns in these hourly differences, they may not be biologically relevant and are of little use to management. In fact, these findings demonstrate that surveys for King and Clapper rails in Virginia intracoastal waterways may be effectively conducted throughout the day.","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.040.0307","usgsCitation":"Stiffler, L.L., Anderson, J.T., Welsh, A.B., Harding, S.R., Costanzo, G.R., and Katzner, T., 2017, Diel variation in detection and vocalization rates of king (Rallus elegans) and clapper (Rallus crepitans) rails in intracoastal waterways: Waterbirds, v. 40, no. 3, p. 263-271, https://doi.org/10.1675/063.040.0307.","productDescription":"9 p.","startPage":"263","endPage":"271","ipdsId":"IP-082121","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469561,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.040.0307","text":"Publisher Index Page"},{"id":348045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Pamunkey River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.94137573242188,\n 37.507002385534385\n ],\n [\n -76.80061340332031,\n 37.507002385534385\n ],\n [\n -76.80061340332031,\n 37.59301558619924\n ],\n [\n -76.94137573242188,\n 37.59301558619924\n ],\n [\n -76.94137573242188,\n 37.507002385534385\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd20e4b0531197b13c7f","contributors":{"authors":[{"text":"Stiffler, Lydia L.","contributorId":198904,"corporation":false,"usgs":false,"family":"Stiffler","given":"Lydia","email":"","middleInitial":"L.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":717595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":717596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welsh, Amy B.","contributorId":192239,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":717597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harding, Sergio R.","contributorId":198906,"corporation":false,"usgs":false,"family":"Harding","given":"Sergio","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Costanzo, Gary R.","contributorId":198907,"corporation":false,"usgs":false,"family":"Costanzo","given":"Gary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717599,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":717594,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192166,"text":"70192166 - 2017 - Atmospheric rivers emerge as a global science and applications focus","interactions":[],"lastModifiedDate":"2017-11-06T13:45:32","indexId":"70192166","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric rivers emerge as a global science and applications focus","docAbstract":"Recent advances in atmospheric sciences and hydrology have identified the key role of atmo-spheric rivers (ARs) in determining the distribution of strong precipitation events in the midlatitudes. The growth of the subject is evident in the increase in scientific publications that discuss ARs (Fig. 1a). Combined with related phenomena, that is, warm conveyor belts (WCBs) and tropical moisture exports (TMEs), the frequency, position, and strength of ARs determine the occurrence of floods, droughts, and water resources in many parts of the world. A conference at the Scripps Institution of Oceanography in La Jolla, California, recently gathered over 100 experts in atmospheric, hydrologic, oceanic, and polar science; ecology; water management; and civil engineering to assess the state of AR science and to explore the need for new information. This first International Atmospheric Rivers Conference (IARC) allowed for much needed introductions and interactions across fields and regions, for example, participants came from five continents, and studies covered ARs in six continents and Greenland (Fig. 1b). IARC also fostered discussions of the status and future of AR science, and attendees strongly supported the idea of holding another IARC at the Scripps Institution of Oceanography in the summer of 2018.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-16-0262.1","usgsCitation":"Ralph, F.M., Dettinger, M.D., Lavers, D.A., Gorodetskaya, I., Martin, A., Viale, M., White, A., Oakley, N.S., Rutz, J.J., Spackman, J.R., Wernli, H., and Cordeira, J.M., 2017, Atmospheric rivers emerge as a global science and applications focus: Bulletin of the American Meteorological Society, v. 98, p. 1969-1973, https://doi.org/10.1175/BAMS-D-16-0262.1.","productDescription":"5 p.","startPage":"1969","endPage":"1973","ipdsId":"IP-079803","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":461417,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/bams-d-16-0262.1","text":"External Repository"},{"id":348280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e88be4b09af898c8cb85","contributors":{"authors":[{"text":"Ralph, F. Martin","contributorId":150276,"corporation":false,"usgs":false,"family":"Ralph","given":"F.","email":"","middleInitial":"Martin","affiliations":[{"id":17953,"text":"Earth Systems Research Lab, NOAA","active":true,"usgs":false}],"preferred":false,"id":714509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavers, David A.","contributorId":167847,"corporation":false,"usgs":false,"family":"Lavers","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":24837,"text":"Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":714510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorodetskaya, Irina","contributorId":197882,"corporation":false,"usgs":false,"family":"Gorodetskaya","given":"Irina","email":"","affiliations":[],"preferred":false,"id":714511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Andrew","contributorId":197883,"corporation":false,"usgs":false,"family":"Martin","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":714512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Viale, Maximilliano","contributorId":197884,"corporation":false,"usgs":false,"family":"Viale","given":"Maximilliano","email":"","affiliations":[],"preferred":false,"id":714513,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, Allen","contributorId":149943,"corporation":false,"usgs":false,"family":"White","given":"Allen","email":"","affiliations":[{"id":17861,"text":"NOAA/Earth System Research Laboratory/Physical Sciences Division, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":714514,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oakley, Nina S.","contributorId":197885,"corporation":false,"usgs":false,"family":"Oakley","given":"Nina","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":714515,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rutz, Jonathan J.","contributorId":197886,"corporation":false,"usgs":false,"family":"Rutz","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714516,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Spackman, J. Ryan","contributorId":197887,"corporation":false,"usgs":false,"family":"Spackman","given":"J.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":714517,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wernli, Heini","contributorId":197888,"corporation":false,"usgs":false,"family":"Wernli","given":"Heini","email":"","affiliations":[],"preferred":false,"id":714518,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cordeira, Jason M.","contributorId":197889,"corporation":false,"usgs":false,"family":"Cordeira","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714519,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70191229,"text":"70191229 - 2017 - Climate change-driven cliff and beach evolution at decadal to centennial time scales","interactions":[],"lastModifiedDate":"2017-10-03T13:13:08","indexId":"70191229","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Climate change-driven cliff and beach evolution at decadal to centennial time scales","docAbstract":"Here we develop a computationally efficient method that evolves cross-shore profiles of sand beaches with or without cliffs along natural and urban coastal environments and across expansive geographic areas at decadal to centennial time-scales driven by 21st century climate change projections. The model requires projected sea level rise rates, extrema of nearshore wave conditions, bluff recession and shoreline change rates, and cross-shore profiles representing present-day conditions. The model is applied to the ~470-km long coast of the Southern California Bight, USA, using recently available projected nearshore waves and bluff recession and shoreline change rates. The results indicate that eroded cliff material, from unarmored cliffs, contribute 11% to 26% to the total sediment budget. Historical beach nourishment rates will need to increase by more than 30% for a 0.25 m sea level rise (~2044) and by at least 75% by the year 2100 for a 1 m sea level rise, if evolution of the shoreline is to keep pace with rising sea levels.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Coastal Dynamics 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Dynamics 2017","conferenceDate":"June 12-16, 2017","language":"English","publisher":"Coastal Dynamics 2017","publisherLocation":"Helsingør, Denmark","usgsCitation":"Erikson, L.H., O'Neill, A., Barnard, P., Vitousek, S., and Limber, P.W., 2017, Climate change-driven cliff and beach evolution at decadal to centennial time scales, in Proceedings Coastal Dynamics 2017, June 12-16, 2017, p. 125-136.","productDescription":"12 p.","startPage":"125","endPage":"136","ipdsId":"IP-086484","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":346358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346296,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1a6e4b05fe04cc4e0ed","contributors":{"authors":[{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vitousek, Sean","contributorId":190192,"corporation":false,"usgs":false,"family":"Vitousek","given":"Sean","affiliations":[],"preferred":false,"id":711631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":196794,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190580,"text":"70190580 - 2017 - Abundant carbon in the mantle beneath Hawai`i","interactions":[],"lastModifiedDate":"2018-10-25T15:56:45","indexId":"70190580","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Abundant carbon in the mantle beneath Hawai`i","docAbstract":"Estimates of carbon concentrations in Earth’s mantle vary over more than an order of magnitude, hindering our ability to understand mantle structure and mineralogy, partial melting, and the carbon cycle. CO2 concentrations in mantle-derived magmas supplying hotspot ocean island volcanoes yield our most direct constraints on mantle carbon, but are extensively modified by degassing during ascent. Here we show that undegassed magmatic and mantle carbon concentrations may be estimated in a Bayesian framework using diverse geologic information at an ocean island volcano. Our CO2 concentration estimates do not rely upon complex degassing models, geochemical tracer elements, assumed magma supply rates, or rare undegassed rock samples. Rather, we couple volcanic CO2 emission rates with probabilistic magma supply rates, which are obtained indirectly from magma storage and eruption rates. We estimate that the CO2content of mantle-derived magma supplying Hawai‘i’s active volcanoes is 0.97−0.19+0.25 wt%—roughly 40% higher than previously believed—and is supplied from a mantle source region with a carbon concentration of 263−62+81 ppm. Our results suggest that mantle plumes and ocean island basalts are carbon-rich. Our data also shed light on helium isotope abundances, CO2/Nb ratios, and may imply higher CO2 emission rates from ocean island volcanoes.
","language":"English","publisher":"Springer Nature","doi":"10.1038/ngeo3007","usgsCitation":"Anderson, K.R., and Poland, M.P., 2017, Abundant carbon in the mantle beneath Hawai`i: Nature Geoscience, v. 10, p. 704-708, https://doi.org/10.1038/ngeo3007.","productDescription":"5 p.","startPage":"704","endPage":"708","ipdsId":"IP-082423","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":345581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.2530517578125,\n 18.906286495910905\n ],\n [\n -154.7698974609375,\n 18.906286495910905\n ],\n [\n -154.7698974609375,\n 20.287961155077717\n ],\n [\n -156.2530517578125,\n 20.287961155077717\n ],\n [\n -156.2530517578125,\n 18.906286495910905\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-21","publicationStatus":"PW","scienceBaseUri":"59b3ac32e4b08b1644d8f1b8","contributors":{"authors":[{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":709891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":709892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196222,"text":"70196222 - 2017 - Volcano Geodesy: Recent developments and future challenges","interactions":[],"lastModifiedDate":"2018-03-27T13:13:31","indexId":"70196222","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Volcano Geodesy: Recent developments and future challenges","docAbstract":"Ascent of magma through Earth's crust is normally associated with, among other effects, ground deformation and gravity changes. Geodesy is thus a valuable tool for monitoring and hazards assessment during volcanic unrest, and it provides valuable data for exploring the geometry and volume of magma plumbing systems. Recent decades have seen an explosion in the quality and quantity of volcano geodetic data. New datasets (some made possible by regional and global scientific initiatives), as well as new analysis methods and modeling practices, have resulted in important changes to our understanding of the geodetic characteristics of active volcanism and magmatic processes, from the scale of individual eruptive vents to global compilations of volcano deformation. Here, we describe some of the recent developments in volcano geodesy, both in terms of data and interpretive tools, and discuss the role of international initiatives in meeting future challenges for the field.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.08.006","usgsCitation":"Fernandez, J.F., Pepe, A., Poland, M.P., and Sigmundsson, F., 2017, Volcano Geodesy: Recent developments and future challenges: Journal of Volcanology and Geothermal Research, v. 344, p. 1-12, https://doi.org/10.1016/j.jvolgeores.2017.08.006.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-088542","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":352788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"344","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3ca","contributors":{"authors":[{"text":"Fernandez, Jose F.","contributorId":189977,"corporation":false,"usgs":false,"family":"Fernandez","given":"Jose","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":731739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pepe, Antonio","contributorId":203540,"corporation":false,"usgs":false,"family":"Pepe","given":"Antonio","email":"","affiliations":[{"id":36648,"text":"IREA-CNR","active":true,"usgs":false}],"preferred":false,"id":731740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":731738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sigmundsson, Freysteinn","contributorId":203541,"corporation":false,"usgs":false,"family":"Sigmundsson","given":"Freysteinn","email":"","affiliations":[{"id":36649,"text":"University of Iceland","active":true,"usgs":false}],"preferred":false,"id":731741,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191011,"text":"70191011 - 2017 - Comparing automated classification and digitization approaches to detect change in eelgrass bed extent during restoration of a large river delta","interactions":[],"lastModifiedDate":"2017-09-20T15:59:41","indexId":"70191011","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Comparing automated classification and digitization approaches to detect change in eelgrass bed extent during restoration of a large river delta","docAbstract":"Native eelgrass (Zostera marina) is an important contributor to ecosystem services that supplies cover for juvenile fish, supports a variety of invertebrate prey resources for fish and waterbirds, provides substrate for herring roe consumed by numerous fish and birds, helps stabilize sediment, and sequesters organic carbon. Seagrasses are in decline globally, and monitoring changes in their growth and extent is increasingly valuable to determine impacts from large-scale estuarine restoration and inform blue carbon mapping initiatives. Thus, we examined the efficacy of two remote sensing mapping methods with high-resolution (0.5 m pixel size) color near infrared imagery with ground validation to assess change following major tidal marsh restoration. Automated classification of false color aerial imagery and digitized polygons documented a slight decline in eelgrass area directly after restoration followed by an increase two years later. Classification of sparse and low to medium density eelgrass was confounded in areas with algal cover, however large dense patches of eelgrass were well delineated. Automated classification of aerial imagery from unsupervised and supervised methods provided reasonable accuracies of 73% and hand-digitizing polygons from the same imagery yielded similar results. Visual clues for hand digitizing from the high-resolution imagery provided as reliable a map of dense eelgrass extent as automated image classification. We found that automated classification had no advantages over manual digitization particularly because of the limitations of detecting eelgrass with only three bands of imagery and near infrared.
","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.091.0307","usgsCitation":"Davenport, A.E., Davis, J.D., Woo, I., Grossman, E.E., Barham, J.B., Ellings, C.S., and Takekawa, J.Y., 2017, Comparing automated classification and digitization approaches to detect change in eelgrass bed extent during restoration of a large river delta: Northwest Science, v. 91, no. 3, p. 272-282, https://doi.org/10.3955/046.091.0307.","productDescription":"11 p.","startPage":"272","endPage":"282","ipdsId":"IP-075396","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":345974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually Delta, Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.73685455322266,\n 47.07690269678769\n ],\n [\n -122.67866134643553,\n 47.07690269678769\n ],\n [\n -122.67866134643553,\n 47.1075227853425\n ],\n [\n -122.73685455322266,\n 47.1075227853425\n ],\n [\n -122.73685455322266,\n 47.07690269678769\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c37e3be4b091459a6316ff","contributors":{"authors":[{"text":"Davenport, Anna Elizabeth","contributorId":196608,"corporation":false,"usgs":false,"family":"Davenport","given":"Anna","email":"","middleInitial":"Elizabeth","affiliations":[],"preferred":false,"id":710912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Jerry D.","contributorId":196609,"corporation":false,"usgs":false,"family":"Davis","given":"Jerry","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":710913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":710911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":710914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barham, Jesse B.","contributorId":149342,"corporation":false,"usgs":false,"family":"Barham","given":"Jesse","email":"","middleInitial":"B.","affiliations":[{"id":17710,"text":"Nisqually NWR, USFWS, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":710915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellings, Christopher S.","contributorId":149343,"corporation":false,"usgs":false,"family":"Ellings","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":17711,"text":"Dep't Natural Resources, Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":710916,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":710917,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194724,"text":"70194724 - 2017 - Satellite monitoring of cyanobacterial harmful algal bloom frequency in recreational waters and drinking water sources","interactions":[],"lastModifiedDate":"2017-12-14T12:48:05","indexId":"70194724","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Satellite monitoring of cyanobacterial harmful algal bloom frequency in recreational waters and drinking water sources","docAbstract":"Cyanobacterial harmful algal blooms (cyanoHAB) cause extensive problems in lakes worldwide, including human and ecological health risks, anoxia and fish kills, and taste and odor problems. CyanoHABs are a particular concern in both recreational waters and drinking water sources because of their dense biomass and the risk of exposure to toxins. Successful cyanoHAB assessment using satellites may provide an indicator for human and ecological health protection. In this study, methods were developed to assess the utility of satellite technology for detecting cyanoHAB frequency of occurrence at locations of potential management interest. The European Space Agency's MEdium Resolution Imaging Spectrometer (MERIS) was evaluated to prepare for the equivalent series of Sentinel-3 Ocean and Land Colour Imagers (OLCI) launched in 2016 as part of the Copernicus program. Based on the 2012 National Lakes Assessment site evaluation guidelines and National Hydrography Dataset, the continental United States contains 275,897 lakes and reservoirs >1 ha in area. Results from this study show that 5.6% of waterbodies were resolvable by satellites with 300 m single-pixel resolution and 0.7% of waterbodies were resolvable when a three by three pixel (3 × 3-pixel) array was applied based on minimum Euclidian distance from shore. Satellite data were spatially joined to U.S. public water surface intake (PWSI) locations, where single-pixel resolution resolved 57% of the PWSI locations and a 3 × 3-pixel array resolved 33% of the PWSI locations. Recreational and drinking water sources in Florida and Ohio were ranked from 2008 through 2011 by cyanoHAB frequency above the World Health Organization’s (WHO) high threshold for risk of 100,000 cells mL−1. The ranking identified waterbodies with values above the WHO high threshold, where Lake Apopka, FL (99.1%) and Grand Lake St. Marys, OH (83%) had the highest observed bloom frequencies per region. The method presented here may indicate locations with high exposure to cyanoHABs and therefore can be used to assist in prioritizing management resources and actions for recreational and drinking water sources.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2017.04.046","usgsCitation":"Clark, J.M., Schaeffer, B., Darling, J.A., Urquhart, E.A., Johnston, J.M., Ignatius, A.R., Myer, M.H., Loftin, K.A., Werdell, P., and Stumpf, R., 2017, Satellite monitoring of cyanobacterial harmful algal bloom frequency in recreational waters and drinking water sources: Ecological Indicators, v. 80, p. 84-95, https://doi.org/10.1016/j.ecolind.2017.04.046.","productDescription":"12 p.","startPage":"84","endPage":"95","ipdsId":"IP-085906","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":469570,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2017.04.046","text":"Publisher Index Page"},{"id":349989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.715576171875,\n 38.84826438869913\n ],\n [\n -81.265869140625,\n 38.84826438869913\n ],\n [\n -81.265869140625,\n 41.97582726102573\n ],\n [\n -84.715576171875,\n 41.97582726102573\n ],\n [\n -84.715576171875,\n 38.84826438869913\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.232666015625,\n 26.362342068998764\n ],\n [\n -79.95849609375,\n 26.362342068998764\n ],\n [\n -79.95849609375,\n 30.486550842588485\n ],\n [\n -82.232666015625,\n 30.486550842588485\n ],\n [\n -82.232666015625,\n 26.362342068998764\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"80","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5be4b06e28e9c22fa2","contributors":{"authors":[{"text":"Clark, John M.","contributorId":201331,"corporation":false,"usgs":false,"family":"Clark","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaeffer, Blake A.","contributorId":152172,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake A.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":725015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darling, John A.","contributorId":38878,"corporation":false,"usgs":true,"family":"Darling","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Urquhart, Erin A.","contributorId":201327,"corporation":false,"usgs":false,"family":"Urquhart","given":"Erin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnston, John M.","contributorId":104318,"corporation":false,"usgs":true,"family":"Johnston","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ignatius, Amber R. arignatius@usgs.gov","contributorId":3817,"corporation":false,"usgs":true,"family":"Ignatius","given":"Amber","email":"arignatius@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":725019,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Myer, Mark H.","contributorId":201335,"corporation":false,"usgs":false,"family":"Myer","given":"Mark","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":725020,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":725013,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Werdell, P. 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We investigated the utility of an acoustic recorder for monitoring abundance of tundra‐breeding birds relative to point‐count surveys in northwestern Alaska, USA, during 2014. Our objectives were to 1) compare numbers of birds and species detected by a field observer with those detected simultaneously by an acoustic recorder; 2) evaluate how detection probabilities for the observer and acoustic recorder varied with distance of birds from the survey point; and 3) evaluate whether avian guild‐specific detection rates differed between field observers and acoustic recorders relative to habitat. Compared with the observer, the acoustic recorder detected fewer species (βMethod = −0.39 ± 0.07) and fewer individuals (βMethod = −0.56 ± 0.05) in total and for 6 avian guilds. Discrepancies were attributed primarily to differences in effective area surveyed (91% missed by device were >100 m), but also to nonvocal birds being missed by the recorder (55% missed <100 m were silent). The observer missed a few individuals and one species detected by the device. Models indicated that relative abundance of various avian guilds was associated primarily with maximum shrub height and less so with shrub cover and visual obstruction. The absence of a significant interaction between survey method (observer vs. acoustic recorder) and any habitat characteristic suggests that traditional point counts and acoustic recorders would yield similar inferences about ecological relationships in tundra ecosystems. Pairing of the 2 methods could increase survey efficiency and allow for validation and archival of survey results.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.785","usgsCitation":"Vold, S.T., Handel, C.M., and McNew, L.B., 2017, Comparison of acoustic recorders and field observers for monitoring tundra bird communities: Wildlife Society Bulletin, v. 41, no. 3, p. 566-576, https://doi.org/10.1002/wsb.785.","productDescription":"11 p.","startPage":"566","endPage":"576","ipdsId":"IP-076226","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":500001,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/e1da09f62c874b1b8e656f413aa1edef","text":"External Repository"},{"id":352970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -168.519287109375,\n 64.26845392293136\n ],\n [\n -161.488037109375,\n 64.26845392293136\n ],\n [\n -161.488037109375,\n 66.67473718353055\n ],\n [\n -168.519287109375,\n 66.67473718353055\n ],\n [\n -168.519287109375,\n 64.26845392293136\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-26","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3d6","contributors":{"authors":[{"text":"Vold, Skyler T.","contributorId":201220,"corporation":false,"usgs":false,"family":"Vold","given":"Skyler","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":724654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":724653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNew, Lance B.","contributorId":190322,"corporation":false,"usgs":false,"family":"McNew","given":"Lance","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":724655,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193530,"text":"70193530 - 2017 - Size selection from fishways and potential evolutionary responses in a threatened Atlantic salmon population","interactions":[],"lastModifiedDate":"2017-11-14T14:04:38","indexId":"70193530","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Size selection from fishways and potential evolutionary responses in a threatened Atlantic salmon population","docAbstract":"The evolutionary effects of harvest on wild fish populations have been documented around the world; however, sublethal selective pressures can also cause evolutionary changes in phenotypes. For migratory fishes, passage facilities may represent instances of nonlethal selective pressure. Our analysis of 6 years of passage data suggests that certain fish passage facilities on the Penobscot River have been exerting selective pressure against large-bodied, anadromous Atlantic salmon (Salmo salar). At the second and third dams in the river, a 91-cm salmon was 21%–27% and 12%–16% less likely to pass than a 45-cm salmon, respectively. Fish size positively influences egg survival and number and is a heritable trait. Therefore, in a wild-reproducing population, exclusion of large fish from spawning areas may have population-level impacts. In the Penobscot River, most returning adults derive from a hatchery program that collects its broodstock after passing the first dam in the river. Analysis of fork lengths of salmon returning to the Penobscot River from 1978 to 2012 provided mixed support for evolution of size at maturity in different age classes in a pattern that may be expected from interactions with conservation hatchery operations. Additionally, slow-maturing and iteroparous individuals that represent the largest salmon size classes were essentially lost from the population during that time, and Penobscot River fish have shorter fork lengths at maturity than Atlantic salmon in undammed systems.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3155","usgsCitation":"Maynard, G.A., Kinnison, M., and Zydlewski, J.D., 2017, Size selection from fishways and potential evolutionary responses in a threatened Atlantic salmon population: River Research and Applications, v. 33, no. 7, p. 1004-1015, https://doi.org/10.1002/rra.3155.","productDescription":"12 p.","startPage":"1004","endPage":"1015","ipdsId":"IP-072943","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.3292236328125,\n 44.77013681219717\n ],\n [\n -68.3184814453125,\n 44.77013681219717\n ],\n [\n -68.3184814453125,\n 45.596743928454124\n ],\n [\n -69.3292236328125,\n 45.596743928454124\n ],\n [\n -69.3292236328125,\n 44.77013681219717\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-18","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fc2","contributors":{"authors":[{"text":"Maynard, George A.","contributorId":189242,"corporation":false,"usgs":false,"family":"Maynard","given":"George","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinnison, M.T.","contributorId":85410,"corporation":false,"usgs":true,"family":"Kinnison","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":722050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719277,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192965,"text":"70192965 - 2017 - Modifications to EPA Method 3060A to Improve Extraction of Cr(VI) from Chromium Ore Processing Residue-Contaminated Soils","interactions":[],"lastModifiedDate":"2017-11-12T17:03:11","indexId":"70192965","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Modifications to EPA Method 3060A to Improve Extraction of Cr(VI) from Chromium Ore Processing Residue-Contaminated Soils","docAbstract":"It has been shown that EPA Method 3060A does not adequately extract Cr(VI) from chromium ore processing residue (COPR). We modified various parameters of EPA 3060A toward understanding the transformation of COPR minerals in the alkaline extraction and improving extraction of Cr(VI) from NIST SRM 2701, a standard COPR-contaminated soil. Aluminum and Si were the major elements dissolved from NIST 2701, and their concentrations in solution were correlated with Cr(VI). The extraction fluid leached additional Al and Si from the method-prescribed borosilicate glass vessels which appeared to suppress the release of Cr(VI). Use of polytetrafluoroethylene vessels and intensive grinding of NIST 2701 increased the amount of Cr(VI) extracted. These modifications, combined with an increased extraction fluid to sample ratio of ≥900 mL g–1 and 48-h extraction time resulted in a maximum release of 1274 ± 7 mg kg–1 Cr(VI). This is greater than the NIST 2701 certified value of 551 ± 35 mg kg–1 but less than 3050 mg kg–1 Cr(VI) previously estimated by X-ray absorption near edge structure spectroscopy. Some of the increased Cr(VI) may have resulted from oxidation of Cr(III) released from brownmillerite which rapidly transformed during the extractions. Layered-double hydroxides remained stable during extractions and represent a potential residence for unextracted Cr(VI).
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.7b01719","usgsCitation":"Mills, C., Bern, C.R., Wolf, R., Foster, A.L., Morrison, J.M., and Benzel, W., 2017, Modifications to EPA Method 3060A to Improve Extraction of Cr(VI) from Chromium Ore Processing Residue-Contaminated Soils: Environmental Science & Technology, v. 51, no. 19, p. 11235-11243, https://doi.org/10.1021/acs.est.7b01719.","productDescription":"9 p.","startPage":"11235","endPage":"11243","ipdsId":"IP-084764","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":348632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"19","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-11","publicationStatus":"PW","scienceBaseUri":"5a096bb0e4b09af898c94141","contributors":{"authors":[{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":150137,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","email":"cmills@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":717456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":166816,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":717457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolf, Ruth E. 0000-0002-2361-7340","orcid":"https://orcid.org/0000-0002-2361-7340","contributorId":195465,"corporation":false,"usgs":false,"family":"Wolf","given":"Ruth E.","affiliations":[{"id":35727,"text":"PerkinElmer, Incorporated","active":true,"usgs":false}],"preferred":false,"id":717458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":717459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, Jean M. 0000-0002-6614-8783 jmorrison@usgs.gov","orcid":"https://orcid.org/0000-0002-6614-8783","contributorId":994,"corporation":false,"usgs":true,"family":"Morrison","given":"Jean","email":"jmorrison@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":717461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":717460,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195951,"text":"70195951 - 2017 - Evolution of strain localization in variable-width three-dimensional unsaturated laboratory-scale cut slopes","interactions":[],"lastModifiedDate":"2018-03-09T09:44:27","indexId":"70195951","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2252,"text":"Journal of Engineering Mechanics","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of strain localization in variable-width three-dimensional unsaturated laboratory-scale cut slopes","docAbstract":"To experimentally validate a recently developed theory for predicting the stability of cut slopes under unsaturated conditions, the authors measured increasing strain localization in unsaturated slope cuts prior to abrupt failure. Cut slope width and moisture content were controlled and varied in a laboratory, and a sliding door that extended the height of the free face of the slope was lowered until the cut slope failed. A particle image velocimetry tool was used to quantify soil displacement in the
The analysis of telemetry data is common in animal ecological studies. While the collection of telemetry data for individual animals has improved dramatically, the methods to properly account for inherent uncertainties (e.g., measurement error, dependence, barriers to movement) have lagged behind. Still, many new statistical approaches have been developed to infer unknown quantities affecting animal movement or predict movement based on telemetry data. Hierarchical statistical models are useful to account for some of the aforementioned uncertainties, as well as provide population-level inference, but they often come with an increased computational burden. For certain types of statistical models, it is straightforward to provide inference if the latent true animal trajectory is known, but challenging otherwise. In these cases, approaches related to multiple imputation have been employed to account for the uncertainty associated with our knowledge of the latent trajectory. Despite the increasing use of imputation approaches for modeling animal movement, the general sensitivity and accuracy of these methods have not been explored in detail. We provide an introduction to animal movement modeling and describe how imputation approaches may be helpful for certain types of models. We also assess the performance of imputation approaches in two simulation studies. Our simulation studies suggests that inference for model parameters directly related to the location of an individual may be more accurate than inference for parameters associated with higher-order processes such as velocity or acceleration. Finally, we apply these methods to analyze a telemetry data set involving northern fur seals (Callorhinus ursinus) in the Bering Sea. Supplementary materials accompanying this paper appear online.
","language":"English","publisher":"Springer","doi":"10.1007/s13253-017-0294-5","usgsCitation":"Scharf, H., Hooten, M., and Johnson, D., 2017, Imputation approaches for animal movement modeling: Journal of Agricultural, Biological, and Environmental Statistics, v. 22, no. 3, p. 335-352, https://doi.org/10.1007/s13253-017-0294-5.","productDescription":"18 p.","startPage":"335","endPage":"352","ipdsId":"IP-083743","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469562,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://arxiv.org/abs/1705.10310","text":"External Repository"},{"id":348558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"5a06c8c8e4b09af898c860fb","contributors":{"authors":[{"text":"Scharf, Henry","contributorId":200238,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","affiliations":[],"preferred":false,"id":721545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":721546,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}