Cape May, New Jersey is an important stopover area for American woodcock (Scolopax minor, hereafter woodcock) during fall migration along the Atlantic Coast of the United States. Previous research has indicated that many woodcock stop at Cape May prior to crossing Delaware Bay; however, little is known about survival of woodcock while using Cape May. To better understand woodcock survival on Cape May during fall migration and estimate emigration rates for woodcock migrating through Cape May, we captured and marked a total of 271 woodcock with VHF transmitters and radio-tracked them weekly from November through early January, 2010-2013. Of the 271 marked woodcock, our radio-tracking efforts indicated that 131 migrated from Cape May, 57 remained on Cape May, 72 died, and 11 were censored. We used a multi-state model within Program MARK to estimate weekly survival and emigration probabilities for marked woodcock. Our best-supported model indicated that survival rate varied by year, but was constant by week within years. Weekly survival rate estimates ranged from 0.894 (95% CI = 0.834 – 0.934) in 2010 to 0.962 (95% CI = 0.928 – 0.981) in 2011, which equates to a 9-week period survival rate ranging from 0.365 (95% CI = 0.185 – 0.545) to 0.706 (95% CI = 0.541 – 0.870), respectively. The 2010-2011 field season was marked by several large snowstorms during which a large percentage of marked woodcock died, whereas the other 3 years had more mild conditions and higher woodcock survival rates. Our best-supported model indicated that weekly emigration rates varied by year and week with each year showing a different pattern of emigration from Cape May. Survival and emigration information will be useful in the development of future demographic-based population models for woodcock migrating along the Atlantic Coast.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the eleventh American Woodcock symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eleventh American Woodcock Symposium","conferenceDate":"October 24-27, 2017","conferenceLocation":"Roscommon, MI","language":"English","publisher":"University of Minnesota Libraries Publishing","doi":"10.24926/AWS.0121","collaboration":"U.S. Fish and Wildlife Service","usgsCitation":"McAuley, D., Zimmerman, G.S., Allen, B.L., Dwyer, C., and Cooper, T., 2019, Survival rates and stopover persistence of American Woodcock using Cape May, New Jersey during fall migration, in Proceedings of the eleventh American Woodcock symposium, v. 11, Roscommon, MI, October 24-27, 2017, p. 146-153, https://doi.org/10.24926/AWS.0121.","productDescription":"8 p.","startPage":"146","endPage":"153","ipdsId":"IP-091382","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":459042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.24926/aws.0121","text":"Publisher Index Page"},{"id":372993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","city":"Cape May","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.97241973876953,\n 38.91027022759443\n ],\n [\n -74.86736297607422,\n 38.91027022759443\n ],\n [\n -74.86736297607422,\n 38.974357249228206\n ],\n [\n -74.97241973876953,\n 38.974357249228206\n ],\n [\n -74.97241973876953,\n 38.91027022759443\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McAuley, Daniel 0000-0003-3674-6392 dmcauley@usgs.gov","orcid":"https://orcid.org/0000-0003-3674-6392","contributorId":215182,"corporation":false,"usgs":true,"family":"McAuley","given":"Daniel","email":"dmcauley@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":761787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, B. 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Despite its potential drawbacks in terms of fitness, the widespread existence of this phenomenon suggests that it should have evolutionary advantages under certain circumstances. Using a global dataset of seed production time series for 219 plant species from all of the continents, we tested whether masting behaviour appears predominantly in species with low foliar nitrogen and phosphorus concentrations when controlling for local climate and productivity. Here, we show that masting intensity is higher in species with low foliar N and P concentrations, and especially in those with imbalanced N/P ratios, and that the evolutionary history of masting behaviour has been linked to that of nutrient economy. Our results support the hypothesis that masting is stronger in species growing under limiting conditions and suggest that this reproductive behaviour might have evolved as an adaptation to nutrient limitations and imbalances.
","language":"English","publisher":"Springer","doi":"10.1038/s41477-019-0549-y","usgsCitation":"Fernández-Martínez, M., Pearse, I., Sardans, J., Sayol, F., Koenig, W.D., LaMontagne, J.M., Bogdziewicz, M., Collalti, A., Hacket-Pain, A., Vacchiano, G., Espelta, J., Penuelas, J., and Janssens, I.A., 2019, Nutrient scarcity as a selective pressure for mast seeding: Nature Plants, v. 5, p. 1222-1228, https://doi.org/10.1038/s41477-019-0549-y.","productDescription":"7 p.","startPage":"1222","endPage":"1228","ipdsId":"IP-109180","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":459045,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://ddd.uab.cat/record/216950","text":"Publisher Index Page"},{"id":437269,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96N15HF","text":"USGS data release","linkHelpText":"Data on interannual variability of seed production, nutrient, and weather for 219 plant species"},{"id":380416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2019-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Fernández-Martínez, M.","contributorId":244805,"corporation":false,"usgs":false,"family":"Fernández-Martínez","given":"M.","affiliations":[{"id":48983,"text":"U. 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","language":"English","publisher":"Canadian Geological Survey","doi":"10.4095/313605","collaboration":"Geological Survey of Canada (GSC); German Federal Institute for Geosciences and Natural Resources (BGR)","usgsCitation":"Hadlari, T., Rayner, N.M., and Moore, T.E., 2019, Unravelling the tectonics of Pearya Terrane, Nunavut: GEM-2 Western Arctic Project, report of activities 2018: Open File 8323, 9 p., https://doi.org/10.4095/313605.","productDescription":"9 p.","ipdsId":"IP-102886","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":459047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4095/313605","text":"Publisher Index Page"},{"id":403788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Nunavut","otherGeospatial":"Ellesmere Island, Pearya Terrane","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.26953125,\n 82.86430834427166\n ],\n [\n -74.8828125,\n 83.23642648170203\n ],\n [\n -91.845703125,\n 81.74845396137906\n ],\n [\n -89.033203125,\n 80.90066856076275\n ],\n [\n -66.26953125,\n 82.86430834427166\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hadlari, Thomas","contributorId":293196,"corporation":false,"usgs":false,"family":"Hadlari","given":"Thomas","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":846635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rayner, Nicole M.","contributorId":293197,"corporation":false,"usgs":false,"family":"Rayner","given":"Nicole","email":"","middleInitial":"M.","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":846636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","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":846637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227757,"text":"70227757 - 2019 - Using pointing dogs and hierarchical models to evaluate American woodcock winter occupancy and densities","interactions":[],"lastModifiedDate":"2022-01-28T14:59:18.950521","indexId":"70227757","displayToPublicDate":"2019-12-02T08:35:12","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using pointing dogs and hierarchical models to evaluate American woodcock winter occupancy and densities","docAbstract":"Use of dogs has increased for multiple wildlife research purposes ranging from carnivore scat detection to estimation of reptile abundance. 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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the eleventh American Woodcock Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"American Woodcock Symposium","conferenceDate":"2017","conferenceLocation":"Michigan, United States","language":"English","publisher":"University of Minnesota Press","doi":"10.24926/AWS.0122","usgsCitation":"Sullins, D.S., Conway, W.C., Haukos, D.A., and Comer, C.E., 2019, Using pointing dogs and hierarchical models to evaluate American woodcock winter occupancy and densities, in Proceedings of the eleventh American Woodcock Symposium, Michigan, United States, 2017, p. 154-167, https://doi.org/10.24926/AWS.0122.","productDescription":"14 p.","startPage":"154","endPage":"167","ipdsId":"IP-090750","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":459048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.24926/aws.0122","text":"Publisher Index Page"},{"id":395048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Houston County, San Augustine County, Trinity County","otherGeospatial":"Davy Crockett National Forest, West Gulf Coastal Plain Bird Conservation Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.24793243408203,\n 31.45473238771609\n ],\n [\n -94.14974212646484,\n 31.45473238771609\n ],\n [\n -94.14974212646484,\n 31.511532395628638\n ],\n [\n -94.24793243408203,\n 31.511532395628638\n ],\n [\n -94.24793243408203,\n 31.45473238771609\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.44509887695312,\n 30.935212690426727\n ],\n [\n -94.75296020507811,\n 30.935212690426727\n ],\n [\n -94.75296020507811,\n 31.67675841879551\n ],\n [\n -95.44509887695312,\n 31.67675841879551\n ],\n [\n -95.44509887695312,\n 30.935212690426727\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":832103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Warren C.","contributorId":51550,"corporation":false,"usgs":true,"family":"Conway","given":"Warren","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":832104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","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":832054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Comer, Christopher E.","contributorId":166690,"corporation":false,"usgs":false,"family":"Comer","given":"Christopher","email":"","middleInitial":"E.","affiliations":[{"id":32360,"text":"Stephen F. Austin State University, Nacogdoches, TX","active":true,"usgs":false}],"preferred":false,"id":832105,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209036,"text":"70209036 - 2019 - Seasonal use of a nonnatal marine basin by juvenile hatchery chinook salmon","interactions":[],"lastModifiedDate":"2020-03-12T07:38:17","indexId":"70209036","displayToPublicDate":"2019-12-02T07:32:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal use of a nonnatal marine basin by juvenile hatchery chinook salmon","docAbstract":"Information on the movement patterns of fishes is essential for managers that are making critical resource decisions. We examined the frequency of a keystone species, Chinook Salmon Oncorhynchus tshawytscha that migrated from different marine basins to the Nisqually River estuary, which lies within the southernmost marine basin (hereafter, “South basin”) in Puget Sound (Washington, USA). Hatchery‐reared juvenile fish were sampled by using beach seine, lampara seine, and fyke nets to determine seasonal trends in frequency, habitat use, and the influence of different capture methods. The captured fish originated from three marine basins, nine Puget Sound rivers, and fourteen hatcheries. The data revealed a consistent pattern showing that most of the tagged fish (72%) were from the nearby Nisqually River (in the South basin), but fish from more northerly marine basins (hereafter, “Outbasin”) were also common. Although the majority of the tagged fish (99%) that were captured during April and May were originally released into rivers adjacent to the South basin, 90% of the fish that were captured in August and September had originated from rivers adjacent to Outbasin locations (up to 130 km distant). A comparison of sampling methods showed that the beach seine produced 27% Outbasin fish compared with 53% that were obtained with the lampara seine. The analysis of habitat use suggested that during June and July, more Outbasin fish (>40%) were captured in delta flats and nearshore habitats than in estuarine emergent marsh habitat (26%). Release location (river basin), but not distance, appeared to be an important factor that influenced the percentage of Outbasin fish that were captured in the South basin. However, it appeared that the fish that were released at light weights and early dates were more likely to be captured. Information on the movement of juvenile salmon to a nonnatal marine basin may help to increase our understanding of features of life history and survival, and it has application elsewhere, as many marine species are artificially propagated, released in large numbers, and have the potential to use nonnatal habitats.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10098","usgsCitation":"Hayes, M.C., Hodgson, S., Ellings, C.S., Duval, W.D., and Rubin, S., 2019, Seasonal use of a nonnatal marine basin by juvenile hatchery chinook salmon: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 11, no. 6, p. 437-453, https://doi.org/10.1002/mcf2.10098.","productDescription":"17 p.","startPage":"437","endPage":"453","ipdsId":"IP-091656","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":459049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10098","text":"Publisher Index Page"},{"id":373163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.6124267578125,\n 48.27953734226008\n ],\n [\n -122.81616210937499,\n 47.916342040161155\n ],\n [\n -123.1512451171875,\n 46.90149244734082\n ],\n [\n -122.05261230468751,\n 47.212105775622426\n ],\n [\n -122.0745849609375,\n 48.49112712828191\n ],\n [\n -122.59643554687499,\n 49.04506962208049\n ],\n [\n -123.45336914062499,\n 48.96939999849952\n ],\n [\n -124.771728515625,\n 48.741700879765396\n ],\n [\n -124.6124267578125,\n 48.27953734226008\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, Michael C. 0000-0002-9060-0565 mhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":3017,"corporation":false,"usgs":true,"family":"Hayes","given":"Michael","email":"mhayes@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgson, Sayre","contributorId":172121,"corporation":false,"usgs":false,"family":"Hodgson","given":"Sayre","email":"","affiliations":[{"id":26985,"text":"Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":784598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":784599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duval, Walker D","contributorId":223217,"corporation":false,"usgs":false,"family":"Duval","given":"Walker","email":"","middleInitial":"D","affiliations":[{"id":40686,"text":"Nisqually Indian Tribe, Department of Natural Resources, 4820 She-Nah-Num Dr. SE, 8 Olympia, Washington 98513, USA","active":true,"usgs":false}],"preferred":false,"id":784600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rubin, Steve 0000-0003-3054-7173","orcid":"https://orcid.org/0000-0003-3054-7173","contributorId":223218,"corporation":false,"usgs":true,"family":"Rubin","given":"Steve","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784601,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215913,"text":"70215913 - 2019 - The Bouse Formation: A controversial Neogene archive of the evolving Colorado River: A scientific drilling workshop report (Feb. 28-March 3, 2019-Bluewater Resort, Parker, Arizona, USA","interactions":[],"lastModifiedDate":"2020-11-02T13:23:07.709944","indexId":"70215913","displayToPublicDate":"2019-12-02T07:15:55","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The Bouse Formation: A controversial Neogene archive of the evolving Colorado River: A scientific drilling workshop report (Feb. 28-March 3, 2019-Bluewater Resort, Parker, Arizona, USA","docAbstract":"Neogene deposits of the lower Colorado River valley, especially the Miocene(?) and early Pliocene Bouse Formation, have been the focus of intense debate regarding the early paleoenvironmental history of this important continental-scale river system in southwestern North America and its integration with the proto-Gulf of California. Fine-grained units within these Neogene deposits also hold a promising archive of Pliocene paleoclimate history for this part of the world. Because the depocenter deposits of the Bouse Formation and the deposits that overlie and underlie it are poorly exposed and highly weathered, the formation is ripe for study through collection of drill cores. A workshop was held 28 February–3 March 2019 in Parker, AZ, USA, to discuss how scientific drilling might be employed to help resolve the Bouse controversies and improve our understanding of paleoclimate history in the region.
This chapter examines crucial processes in the aquatic cycling of mercury (Hg) that may lead to microbial production of neurotoxic and bioaccumulative methylmercury (MeHg), and highlights environmental conditions in the Everglades that make it ideal for MeHg production and bioaccumulation. The role of complexation of Hg2+ in surface water, especially by dissolved organic matter (DOM), in the transport of mercury to sites of microbial methylation are discussed. Photochemical reactions important in Hg cycling in surface water are also discussed. A principal focus of the chapter is on the environmental conditions that promote MeHg production, especially the role of sulfide and DOM in transport of inorganic Hg into bacteria for methylation, and the types of bacteria that have the ability to methylate Hg. Finally, perturbations to the ecosystem (e.g., fire and drought) that have important effects on Hg cycling are discussed.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mercury and the Everglades. A synthesis and model for complex ecosystem restoration","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-32057-7_1","usgsCitation":"Orem, W.H., Krabbenhoft, D.P., Poulin, B., and Aiken, G.A., 2019, Aquatic cycling of mercury, chap. 1 of Mercury and the Everglades. A synthesis and model for complex ecosystem restoration, p. 1-12, https://doi.org/10.1007/978-3-030-32057-7_1.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-106651","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":369934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulin, Brett 0000-0002-5555-7733 bpoulin@usgs.gov","orcid":"https://orcid.org/0000-0002-5555-7733","contributorId":194253,"corporation":false,"usgs":true,"family":"Poulin","given":"Brett","email":"bpoulin@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":761183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aiken, George A 0000-0001-8454-0984","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":206312,"corporation":false,"usgs":false,"family":"Aiken","given":"George","email":"","middleInitial":"A","affiliations":[{"id":37307,"text":"formerly USGS, deceased","active":true,"usgs":false}],"preferred":false,"id":761182,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206712,"text":"70206712 - 2019 - Geologic map of the Blythe 7.5' quadrangle, La Paz County, Arizona and Riverside County, California","interactions":[],"lastModifiedDate":"2020-01-08T17:12:32","indexId":"70206712","displayToPublicDate":"2019-12-01T17:12:08","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5907,"text":" Arizona Geological Survey Digital Geologic Map","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"DGM-124","title":"Geologic map of the Blythe 7.5' quadrangle, La Paz County, Arizona and Riverside County, California","docAbstract":"The geologic map of the Blythe 7.5' quadrangle spans about 60 percent of the width of the Holocene floodplain and valley floor of the lower Colorado River and the adjacent lower piedmont on the east side of the Colorado River Valley. This map depicts a composite geologic record of the river’s response to the transition from a natural flow regime to a strictly regulated one created by a series of upstream dams and channelization of much of its length. The floodplain map was developed using archival data sources including notes and maps from early river expeditions, early cadastral and topographical surveys, and a series of historical aerial photographs. The floodplain surface and its underlying young alluvial fill is herein referred to as the Blythe Alluvium, and this report provides the basis for defining it as a formal stratigraphic unit. Along the eastern edge of the map are piedmont deposits intercalated with Pliocene and Pleistocene Colorado River sediments underlying the Blythe Alluvium. The piedmont units include an array of washes and alluvial fans sourced in the Trigo and Dome Rock Mountains. These deposits were divided and mapped based on stratigraphic and geomorphic criteria including relative topographic relationships, and cross-cutting and inset stratigraphic relations among individual piedmont units and with ancestral Colorado River deposits. Varying thicknesses of those units likely exist below the Holocene floodplain, and this report presents those in the form of a lithologic-section of the valley based on available well data and accompanying descriptions.","language":"English","publisher":"Arizona Geological Survey","usgsCitation":"Block, D., Gootee, B.F., House, K., and Pearthree, P.A., 2019, Geologic map of the Blythe 7.5' quadrangle, La Paz County, Arizona and Riverside County, California: Arizona Geological Survey Digital Geologic Map DGM-124, Report: 45 p.; 2 Sheets: 36 x 29.30 inches and 25.23 x 22.07 inches.","productDescription":"Report: 45 p.; 2 Sheets: 36 x 29.30 inches and 25.23 x 22.07 inches","ipdsId":"IP-089999","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":371092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":371091,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://repository.azgs.az.gov/uri_gin/azgs/dlio/1932"}],"country":"United States","state":"Arizona, California","county":"La Paz County, Riverside County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.08453369140625,\n 32.82421110161336\n ],\n [\n -114.20013427734375,\n 32.82421110161336\n ],\n [\n -114.20013427734375,\n 33.813384329112786\n ],\n [\n -115.08453369140625,\n 33.813384329112786\n ],\n [\n -115.08453369140625,\n 32.82421110161336\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Block, Debra 0000-0001-7348-3064 dblock@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-3064","contributorId":198448,"corporation":false,"usgs":true,"family":"Block","given":"Debra","email":"dblock@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":775516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gootee, Brian F. 0000-0001-5251-9080 bgootee@email.arizona.edu","orcid":"https://orcid.org/0000-0001-5251-9080","contributorId":201637,"corporation":false,"usgs":false,"family":"Gootee","given":"Brian","email":"bgootee@email.arizona.edu","middleInitial":"F.","affiliations":[{"id":34160,"text":"Arizona Geological Survey","active":true,"usgs":false}],"preferred":false,"id":775513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":775514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearthree, Philip A 0000-0001-7676-8145","orcid":"https://orcid.org/0000-0001-7676-8145","contributorId":220713,"corporation":false,"usgs":false,"family":"Pearthree","given":"Philip","email":"","middleInitial":"A","affiliations":[{"id":34160,"text":"Arizona Geological Survey","active":true,"usgs":false}],"preferred":false,"id":775515,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208117,"text":"70208117 - 2019 - Geochemistry and geophysics of iron oxide-apatite deposits and associated waste piles with implications for potential rare earth element resources from ore and historic mine waste in the eastern Adirondack Highlands, New York, USA","interactions":[],"lastModifiedDate":"2020-01-28T15:40:48","indexId":"70208117","displayToPublicDate":"2019-12-01T15:29:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry and geophysics of iron oxide-apatite deposits and associated waste piles with implications for potential rare earth element resources from ore and historic mine waste in the eastern Adirondack Highlands, New York, USA","docAbstract":"The iron oxide-apatite (IOA) deposits of the eastern Adirondack Highlands, New York, are historical high-grade magnetite mines that contain variable concentrations of rare earth element (REE)-bearing apatite crystals. The majority of the deposits are hosted within sodically altered Lyon Mountain granite gneiss, although some deposits occur within paragneiss, gabbro, anorthosite, or potassically altered Lyon Mountain granite gneiss. The IOA deposits and the waste and/or tailings piles associated with them have potential as an unconventional resource for REEs. Reprocessing of these piles would have the advantage of partial recycling of the waste material to produce a set of critical elements.
Thirty-four ore, nine rock, 25 waste-pile, and four tailings-pile samples were collected and analyzed for major, minor, and trace elements. At the tailings- and waste-pile sites, composite samples were collected by combining 30 to >50 subsamples randomly distributed over each pile. The total REE content of the waste and tailings piles varied from approximately 10 to 22,000 ppm, whereas the ore sample concentrations ranged from approximately 15 to 48,000 ppm total REEs. A positive correlation exists between the total REE content of ore and its associated waste pile. Median light REE/heavy REE values were 2.14 for waste/tailings piles and 2.25 for ore, which is a substantial relative enrichment in the heavy REEs in comparison to many developed REE mines, such as the mined carbonatites of Bayan Obo, China, and Mountain Pass, California. Importantly, the ore and waste samples are significantly enriched in both Y and Nd compared to other REEs in the samples. Other minor components such as Th are also elevated. Airborne radiometric surveys show large positive eTh and eU anomalies corresponding to tailings piles.
Although it is a limited data set, geochemical data of unaltered and altered host rocks suggest a speculative new model for IOA ore formation in the Adirondack Highlands that is consistent with the geology and previously published data. The ferroan ore-hosting Lyon Mountain granite gneiss underwent localized potassic alteration that enriched the altered rock in Fe, REEs, Th, and other metals. A later sodic alteration event affected the previously potassically altered Lyon Mountain granite gneiss, which increased rock porosity and remobilized Fe, REEs, and other elements from the host rock into the iron ore seams. The sodic fluids responsible for ore formation were enriched in F and Cl.
In this chapter sulfur contamination of the Everglades and its role as a major control on methylmercury (MeHg) production is examined. Sulfate concentrations over large portions of the Everglades (60% of the ecosystem) are elevated or greatly elevated compared to background conditions of <1 mg/L. Land and water management practices in south Florida are the primary reason for the high levels of sulfate loading to the Everglades. Marshes in the northern Everglades that are highly enriched in sulfate have average concentrations of 60 mg/L, but water in canals in the Everglades Agricultural Area (EAA) contain the highest concentrations of sulfate averaging 60–70 mg/L. Studies that examined the mass balance of sulfur to the Everglades have determined that the primary sources of sulfate include: sulfur currently used in agriculture, and natural and legacy agricultural sulfur released by oxidation of organic soil within the EAA. The extensive loading of sulfate to the ecosystem increases microbial sulfate reduction, the dominant microbial process driving mercury methylation and MeHg production. The biogeochemical processes linking sulfate loading and MeHg production, however, are complex. MeHg production increases as sulfate levels rise from levels <1 mg/L up to about 20 mg/L. However, production of sulfide (a byproduct of microbial sulfate reduction) starts to inhibit MeHg production above 20 mg/L. Sulfate loading to canals in the EAA has impacted the northern Everglades the most, but the Everglades canal system can transport sulfate as far as Everglades National Park (ENP), 80 km further south. Plans to deliver more water to ENP as part of restoration may increase overall sulfate loads to the southern Everglades.
Reduction of sulfate loading should be a major goal of Everglades restoration because of the many negative effects of sulfate on the ecosystem. The ecosystem has been shown to respond quickly to reductions in sulfate loading, and strategies for reducing sulfate loading may produce positive outcomes for the Everglades in the near-term. Strategies for reducing sulfate loading will need to include: best management practices for agricultural use of sulfate, approaches to minimize soil oxidation in the EAA, and modifications to stormwater treatment areas to improve sulfate retention.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mercury and the Everglades. A Synthesis and Model for Complex Ecosystem Restoration","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-32057-7_2","usgsCitation":"Orem, W.H., Krabbenhoft, D.P., Poulin, B., and George Aiken, 2019, Sulfur contamination in the Everglades, a major control on mercury methylation, chap. 2 of Mercury and the Everglades. A Synthesis and Model for Complex Ecosystem Restoration, p. 13-48, https://doi.org/10.1007/978-3-030-32057-7_2.","productDescription":"36 p.","startPage":"13","endPage":"48","ipdsId":"IP-106372","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":369873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.3153076171875,\n 25.075648445630527\n ],\n [\n -80.33752441406249,\n 25.075648445630527\n ],\n [\n -80.33752441406249,\n 25.854280326572407\n ],\n [\n -81.3153076171875,\n 25.854280326572407\n ],\n [\n -81.3153076171875,\n 25.075648445630527\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":762941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulin, Brett 0000-0002-5555-7733 bpoulin@usgs.gov","orcid":"https://orcid.org/0000-0002-5555-7733","contributorId":194253,"corporation":false,"usgs":true,"family":"Poulin","given":"Brett","email":"bpoulin@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":762943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"George Aiken","contributorId":215670,"corporation":false,"usgs":false,"family":"George Aiken","affiliations":[{"id":39302,"text":"USGS WMA Boulder (Deceased)","active":true,"usgs":false}],"preferred":false,"id":762944,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227937,"text":"70227937 - 2019 - Seabirds","interactions":[],"lastModifiedDate":"2022-02-04T17:42:32.348313","indexId":"70227937","displayToPublicDate":"2019-12-01T11:37:24","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Seabirds","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Strategic bird monitoring guidelines for the northern Gulf of Mexico, Mississippi Agricultural and Forestry Experiment Station Research Bulletin 1228","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Gulf of Mexico Avian Monitoring Network","usgsCitation":"Jodice, P.G., Adams, E., Lamb, J.S., Satge, Y., and Gleason, J.S., 2019, Seabirds, chap. of Strategic bird monitoring guidelines for the northern Gulf of Mexico, Mississippi Agricultural and Forestry Experiment Station Research Bulletin 1228, p. 129-170.","productDescription":"42 p.","startPage":"129","endPage":"170","ipdsId":"IP-095052","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395451,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://gomamn.org/strategic-bird-monitoring-guidelines"}],"country":"Mexico, United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.123046875,\n 25.64152637306577\n ],\n [\n -83.75976562499999,\n 30.600093873550072\n ],\n [\n -88.24218749999999,\n 30.977609093348686\n ],\n [\n -91.49414062499999,\n 30.221101852485987\n ],\n [\n -94.833984375,\n 30.06909396443887\n ],\n [\n -97.470703125,\n 28.14950321154457\n ],\n [\n -98.525390625,\n 24.84656534821976\n ],\n [\n -96.767578125,\n 18.895892559415024\n ],\n [\n -93.779296875,\n 18.06231230454674\n ],\n [\n -90.791015625,\n 18.646245142670608\n ],\n [\n -89.912109375,\n 20.879342971957897\n ],\n [\n -87.275390625,\n 20.96143961409684\n ],\n [\n -81.123046875,\n 25.64152637306577\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Evan","contributorId":273154,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","affiliations":[{"id":56435,"text":"Biodiversity Institute","active":true,"usgs":false}],"preferred":false,"id":832626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamb, Juliet S. 0000-0003-0358-3240","orcid":"https://orcid.org/0000-0003-0358-3240","contributorId":198059,"corporation":false,"usgs":false,"family":"Lamb","given":"Juliet","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":832627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Satge, Yvan","contributorId":273155,"corporation":false,"usgs":false,"family":"Satge","given":"Yvan","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":832628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gleason, Jeffrey S.","contributorId":264218,"corporation":false,"usgs":false,"family":"Gleason","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":833215,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70207536,"text":"70207536 - 2019 - Biogeographical patterns of tunicates utilizing eelgrass as substrate in the western North Atlantic between 39o and 47o north latitude (New Jersey to Newfoundland)","interactions":[],"lastModifiedDate":"2019-12-24T11:18:10","indexId":"70207536","displayToPublicDate":"2019-12-01T11:09:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Biogeographical patterns of tunicates utilizing eelgrass as substrate in the western North Atlantic between 39o and 47o north latitude (New Jersey to Newfoundland)","title":"Biogeographical patterns of tunicates utilizing eelgrass as substrate in the western North Atlantic between 39o and 47o north latitude (New Jersey to Newfoundland)","docAbstract":"Colonization of eelgrass (Zostera marina L.) by tunicates can lead to reduced plant growth and survival. Several of the tunicate species that are found on eelgrass in the northwest Atlantic are highly aggressive colonizers, and range expansions are predicted in association with climate-change induced increases in seawater temperature. In 2017, we surveyed tunicates within eelgrass meadows at 33 sites from New Jersey to Newfoundland. Eight tunicate species were identified colonizing eelgrass, of which four were non-native and one was cryptogenic. The most common species (Botrylloides violaceus and Botryllus schlosseri) occurred from New York to Atlantic Canada. Tunicate faunas attached to eelgrass were less diverse north of Cape Cod, Massachusetts. Artificial substrates in the vicinity of the eelgrass meadows generally supported more tunicate species than did the eelgrass, but fewer species co-occurred in northern sites than southern sites. The latitudinal gradient in tunicate diversity corresponded to gradients of summertime sea surface temperature and traditional biogeographical zones in the northwest Atlantic, where Cape Cod represents a transition between cold-water and warm-water invertebrate faunas. Tunicate density in the eelgrass meadows was low, ranging generally from 1–25% cover of eelgrass shoots, suggesting that space availability does not currently limit tunicate colonization of eelgrass. This survey, along with our 2013 survey, provide a baseline for identifying future changes in tunicate distribution and abundance in northwest Atlantic eelgrass meadows.
","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2019.10.4.02","usgsCitation":"Carman, M.R., Colarusso, P., Neckles, H.A., Bologna, P., Caines, S., Davidson, J.D., Evans, N.T., Fox, S., Grunden, D.W., Hoffman, S., Ma, K.C., Matheson, K., McKenzie, C., Nelson, E.P., Plaisted, H., Reddington, E., Schott, S., and Wong, M.C., 2019, Biogeographical patterns of tunicates utilizing eelgrass as substrate in the western North Atlantic between 39o and 47o north latitude (New Jersey to Newfoundland): Management of Biological Invasions, v. 10, no. 4, p. 602-616, https://doi.org/10.3391/mbi.2019.10.4.02.","productDescription":"15 p.","startPage":"602","endPage":"616","ipdsId":"IP-108765","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":459056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2019.10.4.02","text":"Publisher Index Page"},{"id":370665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Connecticut, Maine, Massachusetts, New Brunswick, Newfoundland, New Hampshire, New Jersey, New York, Nova Scotia, Prince Edward Island, Rhode Island","otherGeospatial":"North Altantic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -53.78906249999999,\n 46.649436163350245\n ],\n [\n -58.18359375,\n 48.48748647988415\n ],\n [\n -64.951171875,\n 46.9502622421856\n ],\n [\n -67.8076171875,\n 44.74673324024678\n ],\n [\n -70.83984375,\n 43.739352079154706\n ],\n [\n -71.2353515625,\n 42.35854391749705\n ],\n [\n -71.8505859375,\n 41.44272637767212\n ],\n [\n -73.95996093749999,\n 41.0130657870063\n ],\n [\n -75.6298828125,\n 39.027718840211605\n ],\n [\n -75.41015624999999,\n 38.13455657705411\n ],\n [\n -53.78906249999999,\n 46.649436163350245\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carman, Mary R.","contributorId":218699,"corporation":false,"usgs":false,"family":"Carman","given":"Mary","email":"","middleInitial":"R.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":778371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colarusso, Philip D.","contributorId":218700,"corporation":false,"usgs":false,"family":"Colarusso","given":"Philip D.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":778372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":778370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bologna, Paul","contributorId":218701,"corporation":false,"usgs":false,"family":"Bologna","given":"Paul","email":"","affiliations":[{"id":36592,"text":"Montclair State University","active":true,"usgs":false}],"preferred":false,"id":778373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caines, Scott","contributorId":218702,"corporation":false,"usgs":false,"family":"Caines","given":"Scott","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":778374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davidson, John D. 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","language":"English","publisher":"Calvert Marine Museum","usgsCitation":"Foley, K.M., and Dowsett, H.J., 2019, Measuring Bryozoa: The Ecphora, v. 34, no. 4.","productDescription":"1 p.","startPage":"3","ipdsId":"IP-113064","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":383169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369884,"type":{"id":15,"text":"Index Page"},"url":"https://www.calvertmarinemuseum.com/204/The-Ecphora-Newsletter"}],"volume":"34","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":776576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":776575,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215748,"text":"70215748 - 2019 - Finding the gaps in America’s magnetic maps","interactions":[],"lastModifiedDate":"2021-05-18T13:09:31.040207","indexId":"70215748","displayToPublicDate":"2019-12-01T10:14:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7458,"text":"Eos Science News","active":true,"publicationSubtype":{"id":10}},"title":"Finding the gaps in America’s magnetic maps","docAbstract":"No abstract available.
American Woodcock (Scolopax minor) have enthralled conservationists (including Aldo Leopold), bird watchers, wildlife enthusiasts, hunters, and others interested in the natural world for centuries. No doubt, woodcock also have enthralled humans in North America for millennia prior to written descriptions of the woodcock’s courtship displays, habitat preferences, and curious behavior and anatomy. As perhaps the most extensively studied species of shorebird in the world, there is a rich and extensive literature, both scientific and popular, focused on woodcock ecology, behavior, and hunting. To that extensive body of literature, Sky Dance of the Woodcock provides an updated summary of their natural history, habitat relations, and conservation.
Sky Dance of the Woodcock takes its title from the courtship display of male woodcock, which consists of an elaborate aerial flight incorporating sound produced both vocally and mechanically via highly modified flight feathers. The aerial displays are accompanied by similarly unusual behavior on the ground, including a distinctive ‘peent’ call. This courtship display happens across much of eastern North America each spring, and Hoch uses this wonder to capture the imagination of the readers of his text. Hoch begins the book with an overview of some of the mystery and fascination surrounding woodcock and builds from that opening to describe woodcock anatomy, natural history, and behavior, before describing their courtship display in greater detail. From there, Hoch describes woodcock-habitat relations, provides a historical overview of woodcock hunting, identifies current threats to woodcock populations, summarizes past and recent woodcock research, and finally, presents an updated overview of woodcock conservation and habitat management. Throughout, there is sometimes surprising information about things as simple as what woodcock eat, to more complex assessment of how woodcock use landscapes and migrate to and from spring and summer breeding areas.
This book will undoubtedly appeal to woodcock enthusiasts of a variety to stripes. Woodcock hunters and bird watchers alike will learn something about woodcock-habitat relations, behavior, and conservation. Professional biologists and researchers will benefit from Hoch’s synthesis of a wide range of information about woodcock, and landowners and managers can use some of the concepts in this book to inform their decisions about how to manage lands under their control. Along the way, everyone who reads Sky Dance of the Woodcock is likely to come away with an enhanced appreciation of this captivating bird.
","language":"English","publisher":"Great Plains Natural Science Society","usgsCitation":"Andersen, D.E., 2019, Review of Sky dance of the woodcock: The habits and habitats of a strange little bird by Greg Hoch: Prairie Naturalist, v. 51, no. 2, p. 79-80.","productDescription":"2 p.","startPage":"79","endPage":"80","ipdsId":"IP-114425","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":503627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503626,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.unl.edu/tpn/283/"}],"volume":"51","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":960565,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70216559,"text":"70216559 - 2019 - Pyritization history in the middle to upper Cambrian Alum Shale, Scania Sweden: Evidence for ongoing diagenetic processes","interactions":[],"lastModifiedDate":"2020-11-25T15:38:46.103898","indexId":"70216559","displayToPublicDate":"2019-12-01T09:37:53","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Pyritization history in the middle to upper Cambrian Alum Shale, Scania Sweden: Evidence for ongoing diagenetic processes","docAbstract":"Detailed diagenetic studies of the late Cambrian Alum Shale in southern Sweden were undertaken across an interval that includes the peak Steptoean Positive Carbon Isotope Excursion (SPICE) event to evaluate the pyrite mineralization history in the formation. Samples were collected from the Andrarum-3 core (Scania, Sweden); here the Alum was deposited in the distal, siliciclastic mudstone-rich end of a shelf system. Abundant cryptobioturbation is observed in the Alum, which points to oxic–dysoxic conditions prevailing during deposition. Petrographic examination of polished thin sections (n = 65) reveals the presence of numerous texturally distinct types of pyrite, including matrix framboids, two different types of framboid concretions (those with rims of iron-dolomite and those lacking rims), disseminated euhedral pyrite crystals, concretions of euhedral pyrite crystals, overgrowths of pyrite on these different pyrite generations, anhedral pyrite intergrown with bedding parallel mineralized fractures (i.e., “beef”), and massive vertical/subvertical accumulations of pyrite.
Paragenetic relationships outline the relative timing of formation of the texturally distinct pyrite. Framboids and framboid concretions formed prior to precipitation of any euhedral pyrite crystals, and these pyrite generations precipitated prior to the pyrite overgrowths on them. As Alum Shale sediments are all distorted by these texturally different pyrite generations, they are likely to have formed early in the postdepositional history of the formation. In contrast, pyrite associated with “beef” is likely temporally related to the onset of hydrocarbon generation, which in this part of Sweden is thought to have been many tens of millions of years after deposition. Because vertical/subvertical massive pyrite features distort “beef,” they clearly postdate it. Of all these pyrite textures, only framboid concretions appear to be restricted to the SPICE interval.
The texturally distinct nature of the pyrite generations, along with evidence of their formation at different times in the postdepositional history of the Alum Shale, is the key outcome of this petrographic study. Because the petrographic data presented herein point to a postdeposition origin for all generations of pyrite, diagenetic processes—not those processes associated with deposition—were responsible for the complex pyritization history observed in the Alum, in the Andrarum-3 core.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Memoir 120: Mudstone Diagenesis: Research Perspectives for Shale Hydrocarbon Reservoirs, Seals, and Source Rocks, 2019","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/13672212M1213493","usgsCitation":"Fishman, N., Egenhoff, S., Lowers, H.A., Boehlke, A., and Ahlberg, P., 2019, Pyritization history in the middle to upper Cambrian Alum Shale, Scania Sweden: Evidence for ongoing diagenetic processes, chap. 6 of Memoir 120: Mudstone Diagenesis: Research Perspectives for Shale Hydrocarbon Reservoirs, Seals, and Source Rocks, 2019, v. 120, p. 83-102, https://doi.org/10.1306/13672212M1213493.","productDescription":"20 p.","startPage":"83","endPage":"102","ipdsId":"IP-098047","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":380784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Sweden","state":"Scania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 10.8984375,\n 55.1286490684888\n ],\n [\n 17.402343749999996,\n 55.1286490684888\n ],\n [\n 17.402343749999996,\n 58.88761938459046\n ],\n [\n 10.8984375,\n 58.88761938459046\n ],\n [\n 10.8984375,\n 55.1286490684888\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fishman, Neil S.","contributorId":245198,"corporation":false,"usgs":false,"family":"Fishman","given":"Neil S.","affiliations":[{"id":49112,"text":"PetroLogic Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":805607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Egenhoff, Sven O.","contributorId":245199,"corporation":false,"usgs":false,"family":"Egenhoff","given":"Sven O.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":805608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":805610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ahlberg, Per","contributorId":195467,"corporation":false,"usgs":false,"family":"Ahlberg","given":"Per","email":"","affiliations":[],"preferred":false,"id":805611,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70260153,"text":"70260153 - 2019 - Impacts of the 2015 eruption of Calbuco volcano on Chilean infrastructure, utilities, agriculture, and health","interactions":[],"lastModifiedDate":"2024-10-30T14:39:24.653338","indexId":"70260153","displayToPublicDate":"2019-12-01T09:33:11","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":18999,"text":"GNS Science Report","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"2019/04","title":"Impacts of the 2015 eruption of Calbuco volcano on Chilean infrastructure, utilities, agriculture, and health","docAbstract":"This report presents data and summarises the findings of a reconnaissance trip investigating the impacts of the April 2015 eruption of Calbuco volcano, Chile, undertaken in November-December 2016. This study is mostly focused on the Los Lagos region, focusing on impacts occurring within ~30 km of the volcano, which includes the tourism town of Puerto Varas and port city of Puerto Montt. Eruption impacts and response strategies may be similar for moderate size eruptions from other stratovolcanoes in temperate regions. As such, this study provides useful information for development of contingency plans at active volcanoes around the world. The 2015 eruption of Calbuco volcano began at 18:04 (local time) on 22 April 2015 and consisted of three eruptive phases. The first lasted for 1.5 hours and generated a 15-km eruption column and plume that was directed towards the northeast. Pyroclastic density currents (PDCs) were generated locally and distributed radially, affecting many of the major rivers. A second phase began at 01:00 (local time) on 23 April 2015, lasted six hours and generated a 17-km high eruption column and plume that was dispersed towards the north-northeast, and the most voluminous pyroclastic density currents of the sequence. A third eruptive phase occurred on 30 April 12:10 (local time) resulting in a 5-km column and plume dispersed towards the east.
","language":"English","publisher":"The Institute of Geological and Nuclear Sciences Limited (GNS Science)","doi":"10.21420/02YC-VX66","usgsCitation":"Hayes, J., Deligne, N., Bertin, L., Calderon, R., Wardman, J., Wilson, T.J., Leonard, G., C., S., Wallace, K.L., and Baxter, P., 2019, Impacts of the 2015 eruption of Calbuco volcano on Chilean infrastructure, utilities, agriculture, and health: GNS Science Report 2019/04, 102 p., https://doi.org/10.21420/02YC-VX66.","productDescription":"102 p.","ipdsId":"IP-105929","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":463432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Calbuco volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.48307304563127,\n -40.573371240910895\n ],\n [\n -73.48307304563127,\n -42.33035124814165\n ],\n [\n -71.89602918061058,\n -42.33035124814165\n ],\n [\n -71.89602918061058,\n -40.573371240910895\n ],\n [\n -73.48307304563127,\n -40.573371240910895\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, J.","contributorId":345669,"corporation":false,"usgs":false,"family":"Hayes","given":"J.","affiliations":[{"id":82688,"text":"University of Canterbury, NZ","active":true,"usgs":false}],"preferred":false,"id":917219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deligne, N. I.","contributorId":149573,"corporation":false,"usgs":false,"family":"Deligne","given":"N. I.","affiliations":[],"preferred":false,"id":917221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bertin, L","contributorId":345670,"corporation":false,"usgs":false,"family":"Bertin","given":"L","email":"","affiliations":[{"id":82689,"text":"SERNAGEOMIN, Chile","active":true,"usgs":false}],"preferred":false,"id":917223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calderon, Rodrigo","contributorId":270274,"corporation":false,"usgs":false,"family":"Calderon","given":"Rodrigo","email":"","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":true,"id":917224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wardman, J.","contributorId":345671,"corporation":false,"usgs":false,"family":"Wardman","given":"J.","affiliations":[{"id":16634,"text":"Bermuda Institute of Ocean Sciences","active":true,"usgs":false}],"preferred":false,"id":917225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, T. J.","contributorId":31942,"corporation":false,"usgs":false,"family":"Wilson","given":"T.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":917220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leonard, G.","contributorId":149590,"corporation":false,"usgs":false,"family":"Leonard","given":"G.","email":"","affiliations":[],"preferred":false,"id":917222,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"C., Stewart.","contributorId":345672,"corporation":false,"usgs":false,"family":"C.","given":"Stewart.","email":"","affiliations":[{"id":82690,"text":"GNS Science / Massey University, NZ","active":true,"usgs":false}],"preferred":false,"id":917226,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917227,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Baxter, P.","contributorId":149588,"corporation":false,"usgs":false,"family":"Baxter","given":"P.","email":"","affiliations":[],"preferred":false,"id":917228,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70227737,"text":"70227737 - 2019 - Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction","interactions":[],"lastModifiedDate":"2022-01-28T15:34:56.321091","indexId":"70227737","displayToPublicDate":"2019-12-01T09:31:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":787,"text":"Annals of Applied Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction","docAbstract":"Multivariate compositional count data arise in many applications including ecology, microbiology, genetics and paleoclimate. A frequent question in the analysis of multivariate compositional count data is what underlying values of a covariate(s) give rise to the observed composition. Learning the relationship between covariates and the compositional count allows for inverse prediction of unobserved covariates given compositional count observations. Gaussian processes provide a flexible framework for modeling functional responses with respect to a covariate without assuming a functional form. Many scientific disciplines use Gaussian process approximations to improve prediction and make inference on latent processes and parameters. When prediction is desired on unobserved covariates given realizations of the response variable, this is called inverse prediction. Because inverse prediction is often mathematically and computationally challenging, predicting unobserved covariates often requires fitting models that are different from the hypothesized generative model. We present a novel computational framework that allows for efficient inverse prediction using a Gaussian process approximation to generative models. Our framework enables scientific learning about how the latent processes co-vary with respect to covariates while simultaneously providing predictions of missing covariates. The proposed framework is capable of efficiently exploring the high dimensional, multi-modal latent spaces that arise in the inverse problem. To demonstrate flexibility, we apply our method in a generalized linear model framework to predict latent climate states given multivariate count data. Based on cross-validation, our model has predictive skill competitive with current methods while simultaneously providing formal, statistical inference on the underlying community dynamics of the biological system previously not available.
","language":"English","publisher":"Institute of Mathematical Statistics","doi":"10.1214/19-AOAS1281","usgsCitation":"Tipton, J.R., Hooten, M., Nolan, C., Booth, R.K., and McLachlan, J., 2019, Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction: Annals of Applied Statistics, v. 13, no. 4, p. 2363-2388, https://doi.org/10.1214/19-AOAS1281.","productDescription":"26 p.","startPage":"2363","endPage":"2388","ipdsId":"IP-089036","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":459065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1214/19-aoas1281","text":"Publisher Index Page"},{"id":395052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tipton, John R.","contributorId":272496,"corporation":false,"usgs":false,"family":"Tipton","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":56379,"text":"u ark","active":true,"usgs":false}],"preferred":false,"id":831989,"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":831988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolan, Connor","contributorId":272497,"corporation":false,"usgs":false,"family":"Nolan","given":"Connor","affiliations":[{"id":56380,"text":"u az","active":true,"usgs":false}],"preferred":false,"id":831990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booth, Robert K.","contributorId":272498,"corporation":false,"usgs":false,"family":"Booth","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":56381,"text":"lehigh u","active":true,"usgs":false}],"preferred":false,"id":831991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLachlan, Jason","contributorId":272499,"corporation":false,"usgs":false,"family":"McLachlan","given":"Jason","affiliations":[{"id":36611,"text":"Notre Dame","active":true,"usgs":false}],"preferred":false,"id":831992,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215325,"text":"70215325 - 2019 - Population characteristics and the potential suppression of common carp in Lake Spokane, Washington","interactions":[],"lastModifiedDate":"2020-10-16T14:10:58.363964","indexId":"70215325","displayToPublicDate":"2019-12-01T09:06:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Population characteristics and the potential suppression of common carp in Lake Spokane, Washington","docAbstract":"Common Carp Cyprinus carpio is a nonnative species that often has deleterious effects on aquatic systems. As such, there is interest in suppressing nonnative Common Carp populations in areas where humans have introduced them. The objectives of this study were to 1) provide insight on efficient techniques for capturing Common Carp, 2) describe their population demographics and dynamics, 3) evaluate whether temperature and water elevation were related to growth and recruitment, and 4) develop an age-structured population model for evaluating different management scenarios of Common Carp removal in Lake Spokane, Washington. Catch rates of Common Carp varied among sampling gears with slightly higher catch rates in monofilament (mean ± SD; 15.5 ± 9.8 fish/net night) vs. multifilament (12.7 ± 7.3 fish/net night) gill nets. Catch rates of Common Carp with nighttime electrofishing (0.3 ± 0.4 fish/min) were higher than daytime electrofishing (0.1 ± 0.2 fish/min). Common Carp in Lake Spokane exhibited variable recruitment, rapid growth, large-length structure, high longevity (i.e., age 18 y), and low total annual mortality (17.0%). Air temperature was positively associated with annual growth increments (R2 ≤ 0.25). Neither air temperature nor water elevation was highly correlated (R2 ≤ 0.20) to recruitment of Common Carp. A Beverton–Holt yield-per-recruit model suggested that yield declined with increasing exploitation. Recruitment overfishing would occur at exploitation rates of 20–40% for all targeted minimum length categories (i.e., 150, 300, 450 mm) except 600 mm. Results from this study provide important information on the ecology of Common Carp that can be used to guide management efforts (e.g., suppression) in western systems.
This paper presents a novel framework for system identification of bridge structures using recorded earthquake data. Bridge structures are prone to spatial variability of ground motions because they extend over relatively long distances. So, input motion measurement is a challenging task, especially for long bridges with multiple piers. Moreover, direct measurement of the bridge Foundation Input Motions (FIMs) may not be possible due to both inertial and kinematic Soil-Structure Interaction (SSI) effects. In this study, we propose a joint system-input identification solution using sparsely measured earthquake-induced responses. We verify this method and its applicability for real scale problems using simulated data obtained from the Golden Gate Bridge.
","language":"English, Turkish","doi":"10.46464/tdad.593551","usgsCitation":"Ghahari, S., Celebi, M., Ebrahimian, H., Cetiner, B., and Taciroglu, E., 2019, Joint system-input identification of bridge structures: Turkish Journal of Earthquake Research, v. 1, no. 2, p. 98-122, https://doi.org/10.46464/tdad.593551.","productDescription":"25 p.","startPage":"98","endPage":"122","ipdsId":"IP-108253","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":459070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.46464/tdad.593551","text":"Publisher Index Page"},{"id":407132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"Golden Gate Bridge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.48090744018555,\n 37.808292105520145\n ],\n [\n -122.47455596923828,\n 37.808292105520145\n ],\n [\n -122.47455596923828,\n 37.82687023785448\n ],\n [\n -122.48090744018555,\n 37.82687023785448\n ],\n [\n -122.48090744018555,\n 37.808292105520145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghahari, S. F.","contributorId":296773,"corporation":false,"usgs":false,"family":"Ghahari","given":"S. F.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":852456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebrahimian, H.","contributorId":296774,"corporation":false,"usgs":false,"family":"Ebrahimian","given":"H.","affiliations":[{"id":64167,"text":"SC Solutions","active":true,"usgs":false}],"preferred":false,"id":852458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cetiner, Barbaros","contributorId":296879,"corporation":false,"usgs":false,"family":"Cetiner","given":"Barbaros","email":"","affiliations":[],"preferred":false,"id":852623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taciroglu, E.","contributorId":147710,"corporation":false,"usgs":false,"family":"Taciroglu","given":"E.","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":852459,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70207160,"text":"70207160 - 2019 - Managing effects of drought in Hawai’i and U.S.-affiliated Pacific Islands","interactions":[],"lastModifiedDate":"2020-12-08T16:49:59.298008","indexId":"70207160","displayToPublicDate":"2019-12-01T08:14:15","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"WO-98","chapter":"5","title":"Managing effects of drought in Hawai’i and U.S.-affiliated Pacific Islands","docAbstract":"How is drought expressed in Hawai‘i & USAPI? Drought is a significant climate feature in Hawai‘i and the U.S.-Affiliated Pacific Islands (USAPI), at times causing severe impacts across multiple sectors. Below average precipitation anomalies are often accompanied by higher than average temperatures and reduced cloud cover. The resulting higher insolation and evapotranspiration can magnify the effects of rainfall deficits. These altered meteorological conditions lead to decreased soil moisture, which, depending on the persistence and severity of the conditions, can cause plant stress, affecting both agricultural and natural systems. The hydrological effects of drought include reductions in streamflow, groundwater recharge, and groundwater discharge to springs, streams, and the ocean. Drought also has socioeconomic impacts, where reduced water supply and other effects of drought have negative financial consequences. For these reasons, drought has been defined from at least five different perspectives: meteorological, ecological, agricultural, hydrological, and socioeconomic drought. In this chapter, we explore how these five faces of drought are expressed in Hawai‘i and the USAPI, and how managers operating within one or more these five perspectives address drought-related stressors to their systems. Not all droughts are the same, varying with respect to duration, frequency, extent, and severity. For example, the region receives severe episodic droughts during which an area will have little or no rainfall for months, even in areas that normally have no dry season. El Niño events fall into this category, and these moderate frequency events are typically responsible for shorter-lived but intense drought events that affect large areas. Drought can also be expressed as infrequent but long duration events of moderate severity, or long-term rainfall decline where the baseline condition appears to be changing when examined on longer time scales. From the perspective of the manager, understanding drought duration, frequency, extent, and severity is critical to understanding the duration, frequency, extent and severity of the response. For example, how an agency responds to El Niño events, with a focus on large-scale but short-lived emergency response campaigns, may differ from how an agency responds to baseline change or an increase in the frequency of extended dry periods, with a focus on longer-lived institutional, infrastructure, and personnel responses. The legislative and policy environment will also respond differently to different types of drought. Understanding and characterizing meteorological drought relies on a long-term network of climate stations. Rainfall has been extensively monitored in Hawai‘i since the early 1900s owing to the expansion of plantation agriculture (Giambelluca and others 1986), while rainfall monitoring for most of the USAPI began in earnest after World War II (Polhemus 2017). Due to prevailing winds, most of Hawai‘i’s land area is characterized by a wet season from November to April and a dry season from May to October. However, important dynamic features affect climate systems of the Pacific. For example, due to their tropical location, rainfall patterns in both Hawai‘i and the USAPI are strongly controlled by large-scale modes of climate variability, including the El Niño-Southern Oscillation (ENSO). El Niño events are typically associated with drier than average winter wet seasons and wetter dry seasons, while La Niña events often result in a wetter than average wet season and a drier dry season. Many historical drought events have been attributed to El Niño events, which produce atmospheric conditions that are unfavorable for rainfall (Chu 1995). However, not all El Niño events result in drought, and effects differ depending on whether the El Niño is classified as Central Pacific (CP) or Eastern Pacific (EP) (Bai 2017; Polhemus 2017).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of drought on forests and rangelands in the United States: Translating science into management responses","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"USDA","doi":"10.2737/WO-GTR-98","usgsCitation":"Frazier, A.G., Deenik, J., Fujii, N., Funderburk, G., Giambelluca, T., Giardina, C., Helweg, D., Keener, V., Mair, D., Marra, J., McDaniel, S., Ohye, L., Oki, D.S., Parsons, E., Strauch, A., and Trauernicht, C., 2019, Managing effects of drought in Hawai’i and U.S.-affiliated Pacific Islands: General Technical Report WO-98, 27 p., https://doi.org/10.2737/WO-GTR-98.","productDescription":"27 p.","startPage":"95","endPage":"121","ipdsId":"IP-105580","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science 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Ayron","contributorId":221124,"corporation":false,"usgs":false,"family":"Strauch","given":"Ayron","email":"","affiliations":[{"id":40327,"text":"State of Hawai‘i, Department of Land and Natural Resources, Commission on Water Resource Management","active":true,"usgs":false}],"preferred":false,"id":777063,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Trauernicht, Clay","contributorId":221125,"corporation":false,"usgs":false,"family":"Trauernicht","given":"Clay","email":"","affiliations":[{"id":40329,"text":"University of Hawai‘i at Mānoa, Department of Natural Resources and Environmental Management","active":true,"usgs":false}],"preferred":false,"id":777064,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70216464,"text":"70216464 - 2019 - A shallow rift basin segmented in space and time: The southern San Luis Basin, Rio Grande rift, northern New Mexico, U.S.A.","interactions":[],"lastModifiedDate":"2020-11-20T14:11:15.783736","indexId":"70216464","displayToPublicDate":"2019-12-01T07:59:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3310,"text":"Rocky Mountain Geology","active":true,"publicationSubtype":{"id":10}},"title":"A shallow rift basin segmented in space and time: The southern San Luis Basin, Rio Grande rift, northern New Mexico, U.S.A.","docAbstract":"Interpretation of gravity, magnetotelluric, and aeromagnetic data in conjunction with geologic constraints reveals details of basin geometry, thickness, and spatiotemporal evolution of the southern San Luis Basin, one of the major basins of the northern Rio Grande rift. Spatial variations of low-density basin-fill thickness are estimated primarily using a 3D gravity inversion method that improves on previous modeling efforts by separating the effects of the low-density basin fill from the effects of pre-rift rocks. The basin is found to be significantly narrower—and more complex in the subsurface—than indicated or implied by previous modeling efforts. The basin is also estimated to be significantly shallower than previously estimated. Five distinct subbasins are recognized within the broader southern San Luis Basin. The oldest and shallowest subbasin is the Las Mesitas graben along the northwestern basin margin, formed during the Oligocene transition from Southern Rocky Mountain volcanic field magmatism to rifting. In this subbasin, sediments are estimated to reach a maximum thickness of ~400 m within a north–south elongated structural depression. Other subbasins that likely initially developed during the Miocene are the dominant tectonic features in the southern San Luis Basin. This includes the Tres Orejas subbasin, which formed in the southwestern portion of the basin by the Embudo fault zone and a hypothesized fault zone along its western margin. This subbasin reaches a maximum thickness of ~2 km, as indicated by magnetotelluric and gravity modeling. The Sunshine Valley, Questa, and Taos subbasins occupy the eastern part of the southern San Luis Basin. The southern Sangre de Cristo fault zone is the dominant tectonic feature that controlled their development after ~20 Ma. The east-down Gorge fault zone controlled the western margins of significant parts of these eastern subbasins, although much of the Taos subbasin may be superimposed on the Tres Orejas subbasin. Maximum low-density basin-fill thicknesses are estimated to be 1.2 km for the Sunshine Valley subbasin, 800 m for the Questa subbasin, and 1.8 km for the Taos subbasin. Subbasin-forming tectonic activity along the Gorge fault zone and within the Tres Orejas subbasin ceased by the end of the development of the largely Pliocene Taos Plateau volcanic field. After that, rift-related subsidence became more narrowly centered on the eastern margin of the basin, controlled mainly by the linked Embudo and southern Sangre de Cristo fault zones.
","language":"English","publisher":"Rocky Mountain Geology","doi":"10.24872/rmgjournal.54.2.97","usgsCitation":"Drenth, B.J., Grauch, V.J., Turner, K.J., Rodriguez, B.D., Thompson, R., and Bauer, P.W., 2019, A shallow rift basin segmented in space and time: The southern San Luis Basin, Rio Grande rift, northern New Mexico, U.S.A.: Rocky Mountain Geology, v. 54, no. 2, p. 97-131, https://doi.org/10.24872/rmgjournal.54.2.97.","productDescription":"35 p.","startPage":"97","endPage":"131","ipdsId":"IP-104797","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":459077,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.24872/rmgjournal.54.2.97","text":"Publisher Index Page"},{"id":380645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"San Luis Basin, Rio Grande rift","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.45751953125,\n 35.817813158696616\n ],\n [\n -104.78759765625,\n 35.817813158696616\n ],\n [\n -104.78759765625,\n 37.01132594307015\n ],\n [\n -106.45751953125,\n 37.01132594307015\n ],\n [\n -106.45751953125,\n 35.817813158696616\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grauch, V. J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Kenzie J. 0000-0002-4940-3981 kturner@usgs.gov","orcid":"https://orcid.org/0000-0002-4940-3981","contributorId":496,"corporation":false,"usgs":true,"family":"Turner","given":"Kenzie","email":"kturner@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":805197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Ren A. 0000-0002-3044-3043","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":207982,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":805199,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bauer, Paul W.","contributorId":145562,"corporation":false,"usgs":false,"family":"Bauer","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":16150,"text":"New Mexico Bureau of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":805200,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}