The population of dusky Canada geese (Branta canadensis occidentalis; hereafter duskies) breeding on the Copper River Delta (CRD), Alaska, USA, has been in long-term decline, largely as a result of reduced productivity. Estimates of renesting rates by duskies may be useful for adjusting estimates of the size of the breeding population derived from aerial surveys and for understanding population dynamics. We used a marked population of dusky females to obtain estimates of renesting propensity and renesting interval on the CRD, 1999–2000. Continuation nests, replacement nests initiated without a break in the laying sequence, resulted only after first nests were destroyed in the laying stage with ≤4 eggs laid. Renesting propensity declined with nest age from 72% in mid-laying to 30% in early incubation. Between first nests and renests, mean interval was 11.9 ± 0.6 days, mean distance was 74.5 m (range 0–214 m), and clutch size declined 0.9 ± 0.4 eggs. We incorporated our renesting estimates and available estimates of other nesting parameters into an individual-based model to predict the proportion of first nests, continuation nests, and renests, and to examine female success on the CRD, 1997–2000. Our model predicted that 19–36% of nests each year were continuation nests and renests. Also, through 15 May (the approx. date of breeding ground surveys), 1.1–1.3 nests were initiated per female. Thus, the number of nests per female would have a significant, though relatively consistent, effect on adjusting the relation between numbers of nests found on ground surveys versus numbers of birds seen during aerial surveys. We also suggest a method that managers could use to predict nests per female using nest success of early nests. Our model predicted that relative to observed estimates of nest success, female success was 32–100% greater, due to replacement nests. Thus, although nest success remains low, production for duskies was higher than previously thought. For dusky Canada geese, managers need to consider both continuation nests and renests in designing surveys and in calculating adjustment factors for the expansion of aerial survey data using nest densities.
","language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.2193/0022-541X(2006)70[955:RBDCGO]2.0.CO;2","usgsCitation":"Fondell, T.F., Grand, J.B., Miller, D.A., and Anthony, R.M., 2006, Renesting by dusky Canada geese on the Copper River Delta, Alaska: Journal of Wildlife Management, v. 70, no. 4, p. 955-964, https://doi.org/10.2193/0022-541X(2006)70[955:RBDCGO]2.0.CO;2.","productDescription":"10 p.","startPage":"955","endPage":"964","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":258069,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258065,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/0022-541X(2006)70[955:RBDCGO]2.0.CO;2","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Copper River Delta","volume":"70","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa73fe4b0c8380cd852e3","contributors":{"authors":[{"text":"Fondell, Thomas F. tfondell@usgs.gov","contributorId":50771,"corporation":false,"usgs":true,"family":"Fondell","given":"Thomas","email":"tfondell@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":355613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":355610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David A.W. davidmiller@usgs.gov","contributorId":4043,"corporation":false,"usgs":true,"family":"Miller","given":"David","email":"davidmiller@usgs.gov","middleInitial":"A.W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":355611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anthony, R. Michael","contributorId":16057,"corporation":false,"usgs":true,"family":"Anthony","given":"R.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":355612,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70007008,"text":"70007008 - 2006 - Persistent organic pollutants in Alaskan ringed seal (Phoca hispida) and walrus (Odobenus rosmarus) blubber","interactions":[],"lastModifiedDate":"2017-03-17T13:02:56","indexId":"70007008","displayToPublicDate":"2012-06-20T10:28:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2259,"text":"Journal of Environmental Monitoring","active":true,"publicationSubtype":{"id":10}},"title":"Persistent organic pollutants in Alaskan ringed seal (Phoca hispida) and walrus (Odobenus rosmarus) blubber","docAbstract":"Since 1987, the Alaska Marine Mammal Tissue Archival Project (AMMTAP) has collected tissues from 18 marine mammal species. Specimens are archived in the National Institute of Standards and Technology's National Biomonitoring Specimen Bank (NIST-NBSB). AMMTAP has collected blubber, liver and/or kidney specimens from a number of ringed seals (Phoca hispida) from the areas near Nome and Barrow, Alaska and walruses (Odobenus rosmarus) from several locations in the Bering Sea. Thirty-three ringed seal and 15 walrus blubber samples from the NIST-NBSB were analyzed for persistent organic pollutants (POPs). The compounds determined included PCBs (28 congeners or congener groups), DDT and related compounds, hexachlorobenzene (HCB), hexachlorocyclohexane isomers (HCHs), chlordanes, dieldrin, and mirex. POP concentrations in ringed seal blubber were significantly higher in Barrow than in Nome when statistically accounting for the interaction of age and gender; HCB, however, was not statistically different between the two locations. Unlike males, POP concentrations and age were not significantly correlated in females probably as a result of lactational loss. POP concentrations in walrus blubber were lower than in ringed seal blubber for ΣPCBs, chlordanes, and HCHs, but higher for dieldrin and mirex. POP concentrations in ringed seals and walrus from Alaska provide further evidence that the western Arctic tends to have lower or similar POP concentrations compared to the eastern Canadian Arctic.
","language":"English","publisher":"RSC Publishing","publisherLocation":"London, U.K.","doi":"10.1039/B602379G","usgsCitation":"Kucklick, J.R., Krahn, M.M., Becker, P.R., Porter, B.J., Schantz, M.M., York, G.S., O'Hara, T., and Wise, S.A., 2006, Persistent organic pollutants in Alaskan ringed seal (Phoca hispida) and walrus (Odobenus rosmarus) blubber: Journal of Environmental Monitoring, v. 8, p. 848-854, https://doi.org/10.1039/B602379G.","productDescription":"7 p.","startPage":"848","endPage":"854","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":258059,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a76fae4b0c8380cd783c9","contributors":{"authors":[{"text":"Kucklick, John R.","contributorId":103519,"corporation":false,"usgs":true,"family":"Kucklick","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":355656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krahn, Margaret M.","contributorId":52025,"corporation":false,"usgs":true,"family":"Krahn","given":"Margaret","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":355653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Becker, Paul R.","contributorId":27309,"corporation":false,"usgs":false,"family":"Becker","given":"Paul","email":"","middleInitial":"R.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":355650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Porter, Barbara J.","contributorId":81746,"corporation":false,"usgs":false,"family":"Porter","given":"Barbara","email":"","middleInitial":"J.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":355655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schantz, Michele M.","contributorId":21027,"corporation":false,"usgs":true,"family":"Schantz","given":"Michele","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":355649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"York, Geoffrey S.","contributorId":40467,"corporation":false,"usgs":true,"family":"York","given":"Geoffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":355652,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O'Hara, Todd M.","contributorId":34768,"corporation":false,"usgs":false,"family":"O'Hara","given":"Todd M.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":355651,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wise, Stephen A.","contributorId":64503,"corporation":false,"usgs":false,"family":"Wise","given":"Stephen","email":"","middleInitial":"A.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":355654,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70006534,"text":"70006534 - 2006 - In situ growth of juvenile zebra mussels in a regulated stream","interactions":[],"lastModifiedDate":"2024-04-16T17:21:16.228196","indexId":"70006534","displayToPublicDate":"2012-06-20T10:17:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"In situ growth of juvenile zebra mussels in a regulated stream","title":"In situ growth of juvenile zebra mussels in a regulated stream","docAbstract":"We investigated the in situ growth of juvenile zebra mussels (Dreissena polymorpha) in a reach of the Huron River (southeast Michigan) below a dam with a control gate that regulates water levels. Growth was significantly different among sample dates over a five-month-long monitoring season. Mean growth of mussels generally decreased from 0.093 mm/day just above the dam to 0.067 mm/day 4 km downstream, then increased to 0.091 mm/day at end of the 17-km-long study area. Significant differences among sites were most numerous in August during a severe drought when discharges fell substantially. Growth was positively correlated with discharges (R2 = 0.94, p < 0.01). The positive correlation between growth and chlorophyll a levels in the study area, however, was weak (R2 = 0.69, p < 0.1). Our study suggests that discharge may be one controlling factor for dreissenid populations in small streams.","language":"English","publisher":"Taylor and Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/02705060.2006.9664092","usgsCitation":"French, J.R., Nichols, S.J., Craig, J., Allen, J.D., and Black, M.G., 2006, In situ growth of juvenile zebra mussels in a regulated stream: Journal of Freshwater Ecology, v. 21, no. 1, p. 25-30, https://doi.org/10.1080/02705060.2006.9664092.","productDescription":"6 p.","startPage":"25","endPage":"30","numberOfPages":"5","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":477272,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2006.9664092","text":"Publisher Index Page"},{"id":258062,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Huron River","volume":"21","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e270e4b0c8380cd45bae","contributors":{"authors":[{"text":"French, John R. P. III","contributorId":107635,"corporation":false,"usgs":true,"family":"French","given":"John","suffix":"III","email":"","middleInitial":"R. P.","affiliations":[],"preferred":false,"id":354701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, S. Jerrine","contributorId":25887,"corporation":false,"usgs":true,"family":"Nichols","given":"S.","email":"","middleInitial":"Jerrine","affiliations":[],"preferred":false,"id":354699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craig, Jaquelyn M.","contributorId":86213,"corporation":false,"usgs":true,"family":"Craig","given":"Jaquelyn M.","affiliations":[],"preferred":false,"id":354700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Jeffery D.","contributorId":13093,"corporation":false,"usgs":true,"family":"Allen","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":354698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Black, M. 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In this study, our objective was to sequence the entire 18S, ITS-1, 5.8S, and ITS-2 regions of the rRNA gene and partial ß-tubulin gene of B. poelea, first described from brown boobies (Sula leucogaster) from the central Pacific, and compare them to those of other piroplasms. Phylogenetic analyses of the entire 18S rRNA gene sequence revealed that B. poelea belonged to the clade of piroplasms previously detected in humans, domestic dogs, and wild ungulates in the western United States. The entire ITS-1, 5.8S, ITS-2, and partial ß-tubulin gene sequence shared conserved regions with previously described Babesia and Theileria species. The intron of the ß-tubulin gene was 45 bp. This is the first molecular characterization of an avian piroplasm.
","language":"English","publisher":"American Society of Parasitologists","publisherLocation":"Lawrence, KS","doi":"10.1645/GE-617R.1","usgsCitation":"Yabsley, M.J., Work, T.M., and Rameyer, R.A., 2006, Molecular phylogeny of Babesia poelea from brown boobies (Sula leucogaster) from Johnston Atoll, Central Pacific: Journal of Parasitology, v. 92, no. 2, p. 423-425, https://doi.org/10.1645/GE-617R.1.","productDescription":"3 p.","startPage":"423","endPage":"425","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":257962,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Johnston Atoll National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -169.55946922302246,\n 16.710191758192174\n ],\n [\n -169.55904006958005,\n 16.719480829929623\n ],\n [\n -169.55586433410645,\n 16.736413725761984\n ],\n [\n -169.54599380493164,\n 16.74668780774876\n ],\n [\n -169.53680992126465,\n 16.759591269334752\n ],\n [\n -169.52771186828613,\n 16.771014622849933\n ],\n [\n -169.50488090515137,\n 16.778164142401746\n ],\n [\n -169.4948387145996,\n 16.782272939980686\n ],\n [\n -169.48960304260254,\n 16.783505561927786\n ],\n [\n -169.48471069335935,\n 16.777013663158762\n ],\n [\n -169.4780158996582,\n 16.771343342290027\n ],\n [\n -169.4744110107422,\n 16.766905581896346\n ],\n [\n -169.4768142700195,\n 16.74668780774876\n ],\n [\n -169.48994636535642,\n 16.734605429988644\n ],\n [\n -169.49973106384277,\n 16.72186467806171\n ],\n [\n -169.50299263000488,\n 16.710191758192174\n ],\n [\n -169.50771331787107,\n 16.70756114244518\n ],\n [\n -169.550199508667,\n 16.707150105459746\n ],\n [\n -169.55946922302246,\n 16.710191758192174\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"92","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5d0de4b0c8380cd7011b","contributors":{"authors":[{"text":"Yabsley, Michael J.","contributorId":76985,"corporation":false,"usgs":false,"family":"Yabsley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":355071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":355069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rameyer, Robert A. 0000-0002-2145-1746","orcid":"https://orcid.org/0000-0002-2145-1746","contributorId":63663,"corporation":false,"usgs":true,"family":"Rameyer","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":355070,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70006993,"text":"70006993 - 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We begin by discussing the general form of ecological models—heuristic or mechanistic, \"scientific\" or statistical—and then highlight the structure, strengths, weaknesses, and applications of six types of models commonly used in avian conservation: (1) deterministic single-population matrix models, (2) stochastic population viability analysis (PVA) models for single populations, (3) metapopulation models, (4) spatially explicit models, (5) genetic models, and (6) species distribution models. We end by considering their unique attributes, determining whether the assumptions that underlie the structure are valid, and testing the ability of the model to predict the future correctly.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ornithological Monographs","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of California Press","publisherLocation":"Berkeley, CA","collaboration":"None","usgsCitation":"Beissinger, S.R., Walters, J.R., Catanzaro, D., Smith, K.G., Dunning, J., Haig, S.M., Noon, B., and Stith, B., 2006, Modeling approaches in avian conservation and the role of field biologists: Ornithological Monographs, v. 59, p. iii-56.","productDescription":"61 p.","startPage":"iii","endPage":"56","numberOfPages":"56","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":258886,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258872,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/40166820","linkFileType":{"id":5,"text":"html"}}],"volume":"59","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5bdde4b0c8380cd6f86c","contributors":{"authors":[{"text":"Beissinger, Steven R.","contributorId":100534,"corporation":false,"usgs":true,"family":"Beissinger","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":354465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, J. R.","contributorId":91061,"corporation":false,"usgs":true,"family":"Walters","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":354464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catanzaro, D.G.","contributorId":17085,"corporation":false,"usgs":true,"family":"Catanzaro","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":354460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kimberly G.","contributorId":47720,"corporation":false,"usgs":true,"family":"Smith","given":"Kimberly","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":354462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunning, J.B.","contributorId":23373,"corporation":false,"usgs":true,"family":"Dunning","given":"J.B.","affiliations":[],"preferred":false,"id":354461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":354458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Noon, Barry","contributorId":64934,"corporation":false,"usgs":true,"family":"Noon","given":"Barry","affiliations":[],"preferred":false,"id":354463,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stith, Bradley bstith@usgs.gov","contributorId":3596,"corporation":false,"usgs":true,"family":"Stith","given":"Bradley","email":"bstith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":354459,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70038749,"text":"70038749 - 2006 - Ice sheets and sea level: response","interactions":[],"lastModifiedDate":"2012-07-04T01:02:11","indexId":"70038749","displayToPublicDate":"2012-01-01T13:51:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Ice sheets and sea level: response","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"Washington, D.C.","doi":"10.1126/science.313.5790.1043c","usgsCitation":"Overpeck, J.T., Otto-Bliesner, B.L., Miller, G.H., Alley, R.B., Muhs, D.R., and Marshall, S.J., 2006, Ice sheets and sea level: response: Science, v. 313, no. 5790, p. 1044-1045, https://doi.org/10.1126/science.313.5790.1043c.","productDescription":"2 p.","startPage":"1044","endPage":"1045","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":502626,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.unl.edu/usgsstaffpub/188","text":"External Repository"},{"id":257691,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.313.5790.1043c","linkFileType":{"id":5,"text":"html"}},{"id":257714,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"313","issue":"5790","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a37f3e4b0c8380cd612e9","contributors":{"authors":[{"text":"Overpeck, Jonathan T.","contributorId":28469,"corporation":false,"usgs":true,"family":"Overpeck","given":"Jonathan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":464854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otto-Bliesner, Bette L.","contributorId":85022,"corporation":false,"usgs":true,"family":"Otto-Bliesner","given":"Bette","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":464858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Gifford H.","contributorId":69402,"corporation":false,"usgs":true,"family":"Miller","given":"Gifford","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":464856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alley, Richard B.","contributorId":34365,"corporation":false,"usgs":false,"family":"Alley","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":464855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":464853,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marshall, Shawn J.","contributorId":75368,"corporation":false,"usgs":true,"family":"Marshall","given":"Shawn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":464857,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038746,"text":"70038746 - 2006 - Reply to the discussion by F. Lagroix and S.K. Banerjee of \"Geochemical evidence for the origin of late Quaternary loess in central Alaska\"","interactions":[],"lastModifiedDate":"2012-07-04T01:02:11","indexId":"70038746","displayToPublicDate":"2012-01-01T13:21:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1168,"text":"Canadian Journal of Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Reply to the discussion by F. Lagroix and S.K. Banerjee of \"Geochemical evidence for the origin of late Quaternary loess in central Alaska\"","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Earth Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","publisherLocation":"Ottawa, Ontario","doi":"10.1139/e06-129","usgsCitation":"Muhs, D.R., and Budahn, J.R., 2006, Reply to the discussion by F. Lagroix and S.K. Banerjee of \"Geochemical evidence for the origin of late Quaternary loess in central Alaska\": Canadian Journal of Earth Sciences, v. 43, no. 12, p. 1891-1895, https://doi.org/10.1139/e06-129.","productDescription":"5 p.","startPage":"1891","endPage":"1895","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":257708,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257689,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/e06-129","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","volume":"43","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa771e4b0c8380cd8540e","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":464850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budahn, James R. 0000-0001-9794-8882 jbudahn@usgs.gov","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":1175,"corporation":false,"usgs":true,"family":"Budahn","given":"James","email":"jbudahn@usgs.gov","middleInitial":"R.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464849,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":79238,"text":"ds151 - 2006 - Geochemical data for mercury, methylmercury, and other constituents in sediments from Englebright Lake, California, 2002","interactions":[],"lastModifiedDate":"2020-03-21T11:55:07","indexId":"ds151","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"151","title":"Geochemical data for mercury, methylmercury, and other constituents in sediments from Englebright Lake, California, 2002","docAbstract":"This report presents geochemical data from two 2002 sampling campaigns conducted in Englebright Lake on the Yuba River in northern California. A deep coring campaign was done in May-June 2002 and a shallow sampling campaign was completed in October 2002. This work assessed the chemical composition of material deposited in the reservoir between 1940, the year Englebright Dam was completed, and 2002 as part of the Upper Yuba River Studies Program, an effort designed to evaluate the feasibility of introducing anadromous fish, including steelhead and spring-run Chinook salmon, upstream from Englebright Dam. Results of analyses of total mercury (HgT) in 444 subsamples, methylmercury (MeHg) in 243 subsamples, and other trace and major elements in 202 subsamples are presented. Data quality was evaluated on the basis of analyses of replicate pairs of subsamples, standard reference materials, blanks, and spike additions.Deep coring penetrated the full thickness of material deposited after 1940 at six locations in the reservoir; the cores reached a maximum depth of 32.8 meters below the reservoir floor. At the three deep coring sites closest to Englebright Dam, concentrations of HgT (dry basis) were consistently in the range of 100 to 500 ng/g (nanogram per gram), in sediment dominantly of silt size (median grain size of 0.004 to 0.063 mm [millimeter]). At the deep coring sites located farther upstream, the upper parts of the profile had lower concentrations of HgT, generally ranging from 2 to 100 ng/g, in sediment dominantly of sand size (median grain size from 0.063 to 2 mm). The lower part of the vertical profiles at three upstream coring sites had higher concentrations of HgT than the upper and middle parts of these profiles, and had finer median grain size. The highest median concentration of MeHg (1.1 ng/g) was in the top 2 cm (centimeter) of the shallow box cores. This vertical interval also had the highest value of the ratio of MeHg to HgT, 0.41 percent. Median concentrations of MeHg and median values of MeHg/HgT decreased systematically with depth from 0-4 to 4-8 to 8-12 cm in the shallow cores. However, similar systematic decreases were not observed at the meter scale in the deep cores of the MEM (MEthylMercury) series. The overall median of the ratio MeHg/HgT in the deep cores was 0.25 percent, not much less than the overall median value for the shallow cores (0.33 percent). Mercury-203 radiotracer divalent inorganic mercury (203Hg(II)) was used to determine microbial mercury-methylation potential rates for 11 samples collected from three reservoir locations and various depths in the sediment profile. For the five shallow mercury-methylation subsamples, ancillary geochemical parameters were assayed, including microbial sulfate reduction rates, sulfur speciation (sediment acid volatile sulfide, total reduced sulfur, and pore-water sulfate), iron speciation (sediment acid extractable iron(II), amorphous iron(III), crystalline iron(III) and pore-water iron(II)), pore-water chloride and dissolved organic carbon, and pH, oxidation-reduction potential (Eh) and whole-sediment organic content. The highest potential rates of microbial mercury methylation were measured in shallow (0 to 8 cm depth) sediments (5 to 30 nanograms of mercury per gram dry sediment per day), whereas potential rates for subsamples collected from depths greater than 500 cm were consistently below the detection limit of the radiotracer method (< 0.02 nanogram of mercury per gram dry sediment per day). Chemical analyses of trace and major elements in bed sediment are presented for 202 samples from deep cores from five locations in Englebright Lake. The mean values and standard deviations for selected trace elements were as follows (in micrograms per gram): antimony, 2.4 ± 1.6; arsenic, 69 ± 48; chromium, 134 ± 23; lead, 33 ± 25; and nickel, 87 ± 24. Concentrated samples of heavy-mineral grains, prepared using nine large-volume composite samples from","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds151","collaboration":"Prepared in cooperation with the CALFED Ecosystem Restoration Program California Bay--Delta Authority and the California Resources Agency","usgsCitation":"Alpers, C.N., Hunerlach, M.P., Marvin-DePasquale, M.C., Antweiler, R.C., Lasorsa, B.K., De Wild, J.F., and Snyder, N., 2006, Geochemical data for mercury, methylmercury, and other constituents in sediments from Englebright Lake, California, 2002: U.S. Geological Survey Data Series 151, 107 p., https://doi.org/10.3133/ds151.","productDescription":"107 p.","numberOfPages":"107","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2002-01-01","temporalEnd":"2002-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":190683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274140,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/2006/151/ds_151.pdf","text":"Report"},{"id":274139,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/151/"}],"country":"United States","state":"California","otherGeospatial":"Englebright Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.27121,39.24487 ], [ -121.27121,39.29387 ], [ -121.21188,39.29387 ], [ -121.21188,39.24487 ], [ -121.27121,39.24487 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae387","contributors":{"authors":[{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":512523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunerlach, Michael P.","contributorId":66668,"corporation":false,"usgs":true,"family":"Hunerlach","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":512529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DePasquale, Mark C.","contributorId":38655,"corporation":false,"usgs":true,"family":"Marvin-DePasquale","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":512526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":512524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lasorsa, Brenda K.","contributorId":45398,"corporation":false,"usgs":true,"family":"Lasorsa","given":"Brenda","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":512528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Wild, John F.","contributorId":31800,"corporation":false,"usgs":true,"family":"De Wild","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":512525,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Snyder, Noah P.","contributorId":43848,"corporation":false,"usgs":true,"family":"Snyder","given":"Noah P.","affiliations":[],"preferred":false,"id":512527,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70003869,"text":"70003869 - 2006 - Role of multidecadal climate variability in a range extension of pinyon pine","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70003869","displayToPublicDate":"2011-11-09T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Role of multidecadal climate variability in a range extension of pinyon pine","docAbstract":"Evidence from woodrat middens and tree rings at Dutch John Mountain (DJM) in northeastern Utah reveal spatiotemporal patterns of pinyon pine (Pinus edulis Engelm.) colonization and expansion in the past millennium. The DJM population, a northern outpost of pinyon, was established by long-distance dispersal (~40 km). Growth of this isolate was markedly episodic and tracked multidecadal variability in precipitation. Initial colonization occurred by AD 1246, but expansion was forestalled by catastrophic drought (1250–1288), which we speculate produced extensive mortality of Utah Juniper (Juniperus osteosperma (Torr.) Little), the dominant tree at DJM for the previous ~8700 years. Pinyon then quickly replaced juniper across DJM during a few wet decades (1330–1339 and 1368–1377). Such alternating decadal-scale droughts and pluvial events play a key role in structuring plant communities at the landscape to regional level. These decadal-length precipitation anomalies tend to be regionally coherent and can synchronize physical and biological processes across large areas. Vegetation forecast models must incorporate these temporal and geographic aspects of climate variability to accurately predict the effects of future climate change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","usgsCitation":"Gray, S., Betancourt, J.L., Jackson, S.T., and Eddy, R.G., 2006, Role of multidecadal climate variability in a range extension of pinyon pine: Ecology, v. 87, no. 5, p. 1124-1130.","productDescription":"7 p.","startPage":"1124","endPage":"1130","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":204466,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":101752,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://wwwpaztcn.wr.usgs.gov/julio_pdf/Gray_Ecol_ea.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Utah","otherGeospatial":"Dutch John Mountain","volume":"87","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66cc61","contributors":{"authors":[{"text":"Gray, Stephen T. sgray@usgs.gov","contributorId":221,"corporation":false,"usgs":true,"family":"Gray","given":"Stephen T.","email":"sgray@usgs.gov","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":349217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":349219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":349218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eddy, Robert G.","contributorId":33835,"corporation":false,"usgs":true,"family":"Eddy","given":"Robert","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":349220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70003890,"text":"70003890 - 2006 - Predicting woodrat (Neotoma) responses to anthropogenic warming from studies of the palaeomidden record","interactions":[],"lastModifiedDate":"2012-02-10T00:12:00","indexId":"70003890","displayToPublicDate":"2011-11-04T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Predicting woodrat (Neotoma) responses to anthropogenic warming from studies of the palaeomidden record","docAbstract":"Aim The influence of anthropogenic climate change on organisms is an area of great scientific concern. Increasingly there is recognition that abrupt climate transitions have occurred over the late Quaternary; studies of these shifts may yield insights into likely biotic responses to contemporary warming. Here, we review research undertaken over the past decade investigating the response of Neotoma (woodrats) body size and distribution to climate change over the late Quaternary (the last 40,000 years). By integrating information from woodrat palaeomiddens, historical museum specimens and field studies of modern populations, we identify potential evolutionary responses to climate change occurring over a variety of temporal and spatial scales. Specifically, we characterize climatic thresholds in the past that led to local species extirpation and/or range alterations rather than in situ adaptation, and apply them to anticipate potential biotic responses to anthropogenic climate change. Location Middens were collected at about 55 sites scattered across the western United States, ranging from about 34 to 46° N and about 104 to 116° W, respectively. Data for modern populations were drawn from studies conducted in Death Valley, California, Missoula, Montana and the Sevilleta LTER site in central New Mexico. Methods We analysed faecal pellets from midden series collected at numerous cave sites across the western United States. From these we estimated body mass using techniques validated in earlier studies. We compared body size fluctuations at different elevations in different regions and integrated these results with studies investigating temperature–body size tradeoffs in modern animals. We also quantify the rapidity of the size changes over the late Quaternary to estimate the evolutionary capacity of woodrats to deal with predicted rates of anthropogenic climate change over the next century. Results We find remarkable similarities across the geographical range to late Quaternary climate change. In the middle of the geographical range woodrats respond in accordance to Bergmann's rule: colder climatic conditions select for larger body size and warmer conditions select for smaller body size. Patterns are more complicated at range boundaries, and local environmental conditions influence the observed response. In general, woodrat body size fluctuates with approximately the same amplitude and frequency as climate; there is a significant and positive correlation between woodrat body size and generalized climate proxies (such as ice core records). Woodrats have achieved evolutionary rates of change equal to or greater than those needed to adapt in situ to anthropogenic climate change. Main conclusions In situ body size evolution is a likely outcome of climate change, and such shifts are part of a normal spectrum of adaptation. Woodrats appear to be subject to ongoing body size selection in response to fluctuating environmental conditions. Allometric considerations suggest that these shifts in body size lead to substantial changes in the physiology, life history and ecology of woodrats, and on their direct and indirect interactions with other organisms in the ecosystem. Our work highlights the importance of a finely resolved and long-term record in understanding biotic responses to climatic shifts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Biogeography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","usgsCitation":"Smith, F., and Betancourt, J.L., 2006, Predicting woodrat (Neotoma) responses to anthropogenic warming from studies of the palaeomidden record: Journal of Biogeography, v. 33, no. 12, p. 2061-2076.","productDescription":"16 p.","startPage":"2061","endPage":"2076","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":204257,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":94669,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://wwwpaztcn.wr.usgs.gov/julio_pdf/Smith_Betancourt2006.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116,34 ], [ -116,46 ], [ -104,46 ], [ -104,34 ], [ -116,34 ] ] ] } } ] }","volume":"33","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e7f2","contributors":{"authors":[{"text":"Smith, Felisa A.","contributorId":9389,"corporation":false,"usgs":true,"family":"Smith","given":"Felisa A.","affiliations":[],"preferred":false,"id":349322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":349321,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003843,"text":"70003843 - 2006 - Late Quaternary vegetation and climate history of a perennial river canyon in the Rīo Salado basin (22°S) of Northern Chile","interactions":[],"lastModifiedDate":"2013-01-25T13:46:53","indexId":"70003843","displayToPublicDate":"2011-08-29T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary vegetation and climate history of a perennial river canyon in the Rīo Salado basin (22°S) of Northern Chile","docAbstract":"Plant macrofossils from 33 rodent middens sampled at three sites between 2910 and 3150 m elevation in the main canyon of the Rīo Salado, northern Chile, yield a unique record of vegetation and climate over the past 22,000 cal yr BP. Presence of low-elevation Prepuna taxa throughout the record suggests that mean annual temperature never cooled by more than 5°C and may have been near-modern at 16,270 cal yr BP. Displacements in the lower limits of Andean steppe and Puna taxa indicate that mean annual rainfall was twice modern at 17,520-16,270 cal yr BP. This pluvial event coincides with infilling of paleolake Tauca on the Bolivian Altiplano, increased ENSO activity inferred from a marine core near Lima, abrupt deglaciation in southern Chile, and Heinrich Event 1. Moderate to large increases in precipitation also occurred at 11,770-9550 (Central Atacama Pluvial Event), 7330-6720, 3490-2320 and at 800 cal yr BP. Desiccation occurred at 14,180, 8910-8640, and 4865 cal yr BP. Compared to other midden sites in the region, early Holocene desiccation seems to have happened progressively earlier farther south. Emerging trends from the cumulative midden record in the central Atacama agree at millennial timescales with improved paleolake chronologies for the Bolivian Altiplano, implying common forcing through changes in equatorial Pacific sea-surface temperature gradients.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.yqres.2006.02.002","usgsCitation":"Latorre, C., Betancourt, J.L., and Arroyo, M.T., 2006, Late Quaternary vegetation and climate history of a perennial river canyon in the Rīo Salado basin (22°S) of Northern Chile: Quaternary Research, v. 65, no. 3, p. 450-466, https://doi.org/10.1016/j.yqres.2006.02.002.","productDescription":"17 p.","startPage":"450","endPage":"466","costCenters":[{"id":220,"text":"Desert Laboratory U.S. Geological Survey and University of Arizona","active":false,"usgs":true}],"links":[{"id":487183,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3264491","text":"External Repository"},{"id":203877,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266475,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2006.02.002"}],"country":"Chile","volume":"65","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a8b32","contributors":{"authors":[{"text":"Latorre, Claudio","contributorId":94019,"corporation":false,"usgs":true,"family":"Latorre","given":"Claudio","affiliations":[],"preferred":false,"id":349130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":349128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arroyo, Mary T.K.","contributorId":31887,"corporation":false,"usgs":true,"family":"Arroyo","given":"Mary","email":"","middleInitial":"T.K.","affiliations":[],"preferred":false,"id":349129,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":2002288,"text":"2002288 - 2006 - Status of Amphibians in California and Arizona","interactions":[],"lastModifiedDate":"2012-02-02T00:14:58","indexId":"2002288","displayToPublicDate":"2011-08-29T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":388,"text":"WERC Fact Sheet","active":false,"publicationSubtype":{"id":6}},"seriesNumber":"-","title":"Status of Amphibians in California and Arizona","docAbstract":"No abstract available at this time","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/2002288","usgsCitation":"Fellers, G.M., Fisher, R., and Schwalbe, C., 2006, Status of Amphibians in California and Arizona: WERC Fact Sheet -, https://doi.org/10.3133/2002288.","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":199134,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":91864,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.werc.usgs.gov/fileHandler.ashx?File=/Lists/Products/Attachments/2375/amphstat.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dae4b07f02db5e00d1","contributors":{"authors":[{"text":"Fellers, G. M.","contributorId":82653,"corporation":false,"usgs":true,"family":"Fellers","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":326363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":326362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwalbe, C.R.","contributorId":35259,"corporation":false,"usgs":false,"family":"Schwalbe","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":326361,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70003893,"text":"70003893 - 2006 - Classification tree and minimum-volume ellipsoid analyses of the distribution of ponderosa pine in the western USA","interactions":[],"lastModifiedDate":"2012-02-02T00:15:55","indexId":"70003893","displayToPublicDate":"2011-06-22T16:50:03","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Classification tree and minimum-volume ellipsoid analyses of the distribution of ponderosa pine in the western USA","docAbstract":"Aim? Ponderosa pine (Pinus ponderosa Douglas ex Lawson & C. Lawson) is an economically and ecologically important conifer that has a wide geographic range in the western USA, but is mostly absent from the geographic centre of its distribution - the Great Basin and adjoining mountain ranges. Much of its modern range was achieved by migration of geographically distinct Sierra Nevada (P. ponderosa var. ponderosa) and Rocky Mountain (P. ponderosa var. scopulorum) varieties in the last 10,000 years. Previous research has confirmed genetic differences between the two varieties, and measurable genetic exchange occurs where their ranges now overlap in western Montana. A variety of approaches in bioclimatic modelling is required to explore the ecological differences between these varieties and their implications for historical biogeography and impending changes in western landscapes.\n\nLocation? Western USA.\n\nMethods? We used a classification tree analysis and a minimum-volume ellipsoid as models to explain the broad patterns of distribution of ponderosa pine in modern environments using climatic and edaphic variables. Most biogeographical modelling assumes that the target group represents a single, ecologically uniform taxonomic population. Classification tree analysis does not require this assumption because it allows the creation of pathways that predict multiple positive and negative outcomes. Thus, classification tree analysis can be used to test the ecological uniformity of the species. In addition, a multidimensional ellipsoid was constructed to describe the niche of each variety of ponderosa pine, and distances from the niche were calculated and mapped on a 4-km grid for each ecological variable.\n\nResults? The resulting classification tree identified three dominant pathways predicting ponderosa pine presence. Two of these three pathways correspond roughly to the distribution of var. ponderosa, and the third pathway generally corresponds to the distribution of var. scopulorum. The classification tree and minimum-volume ellipsoid model show that both varieties have very similar temperature limitations, although var. ponderosa is more limited by the temperature extremes of the continental interior. The precipitation limitations of the two varieties are seasonally different, with var. ponderosa requiring significant winter moisture and var. scopulorum requiring significant summer moisture. Great Basin mountain ranges are too cold at higher elevations to support either variety of ponderosa pine, and at lower elevations are too dry in summer for var. scopulorum and too dry in winter for var. ponderosa.\n\nMain conclusions? The classification tree analysis indicates that var. ponderosa is ecologically as well as genetically distinct from var. scopulorum. Ecological differences may maintain genetic separation in spite of a limited zone of introgression between the two varieties in western Montana. Two hypotheses about past and future movements of ponderosa pine emerge from our analyses. The first hypothesis is that, during the last glacial period, colder and/or drier summers truncated most of the range of var. scopulorum in the central Rockies, but had less dramatic effects on the more maritime and winter-wet distribution of var. ponderosa. The second hypothesis is that, all other factors held constant, increasing summer temperatures in the future should produce changes in the distribution of var. scopulorum that are likely to involve range expansions in the central Rockies with the warming of mountain ranges currently too cold but sufficiently wet in summer for var. scopulorum. Finally, our results underscore the growing need to focus on genotypes in biogeographical modelling and ecological forecasting.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Biogeography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","usgsCitation":"Norris, J.R., Jackson, S.T., and Betancourt, J.L., 2006, Classification tree and minimum-volume ellipsoid analyses of the distribution of ponderosa pine in the western USA: Journal of Biogeography, v. 33, no. 2, p. 342-360.","productDescription":"19 p.","startPage":"342","endPage":"360","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":203956,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21921,"rank":9999,"type":{"id":1,"text":"Abstract"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/j.1365-2699.2005.01396.x/abstract","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"33","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de4bf","contributors":{"authors":[{"text":"Norris, Jodi R.","contributorId":43746,"corporation":false,"usgs":true,"family":"Norris","given":"Jodi","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":349340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":349338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":349339,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70003874,"text":"70003874 - 2006 - Bacterial community structure in the hyperarid core of the Atacama Desert, Chile","interactions":[],"lastModifiedDate":"2023-01-06T20:53:49.520759","indexId":"70003874","displayToPublicDate":"2011-06-07T12:43:19","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Bacterial community structure in the hyperarid core of the Atacama Desert, Chile","docAbstract":"Soils from the hyperarid Atacama Desert of northern Chile were sampled along an east-west elevational transect (23.75 to 24.70°S) through the driest sector to compare the relative structure of bacterial communities. Analysis of denaturing gradient gel electrophoresis (DGGE) profiles from each of the samples revealed that microbial communities from the extreme hyperarid core of the desert clustered separately from all of the remaining communities. Bands sequenced from DGGE profiles of two samples taken at a 22-month interval from this core region revealed the presence of similar populations dominated by bacteria from the Gemmatimonadetes and Planctomycetes phyla.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.01305-06","usgsCitation":"Drees, K., Neilson, J.W., Betancourt, J.L., Quade, J., Henderson, D.A., Pryor, B.M., and Maier, R.M., 2006, Bacterial community structure in the hyperarid core of the Atacama Desert, Chile: Applied and Environmental Microbiology, v. 72, no. 12, p. 7902-7908, https://doi.org/10.1128/AEM.01305-06.","productDescription":"7 p.","startPage":"7902","endPage":"7908","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":477277,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/1694221","text":"External Repository"},{"id":203852,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Atacama Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.43224014460031,\n -18.45073242731108\n ],\n [\n -70.26769863880878,\n -20.083082188187078\n ],\n [\n -70.27230566961697,\n -21.4476060817359\n ],\n [\n -70.45391954573284,\n -22.860708158026696\n ],\n [\n -70.69721219373797,\n -23.161239419892297\n ],\n [\n -70.73389222766838,\n -24.652521644585008\n ],\n [\n -70.56310365920207,\n -25.3404942416864\n ],\n [\n -70.83720062299344,\n -25.78448713393925\n ],\n [\n -70.79840593459562,\n -26.23161624772016\n ],\n [\n -71.08758827223627,\n -27.25144459801357\n ],\n [\n -71.46674506484122,\n -28.698413779250366\n ],\n [\n -69.21521039179555,\n -28.20468161618163\n ],\n [\n -68.69561013376267,\n -27.1320947577861\n ],\n [\n -68.51232026177124,\n -27.23397786208681\n ],\n [\n -68.21989161459777,\n -26.96630335325149\n ],\n [\n -68.49974485897829,\n -26.334986169485298\n ],\n [\n -68.32100699413232,\n -26.191701535519975\n ],\n [\n -68.51040688370256,\n -25.28028931548397\n ],\n [\n -68.31130238529045,\n -25.117417598541493\n ],\n [\n -68.49316436007435,\n -24.734770930217678\n ],\n [\n -68.25167980609558,\n -24.470961293908104\n ],\n [\n -67.33692166492773,\n -24.13590705950584\n ],\n [\n -66.93843029055245,\n -22.999092109493915\n ],\n [\n -67.16274931667607,\n -22.78103821662829\n ],\n [\n -67.5568935930285,\n -22.888427700341097\n ],\n [\n -67.8211520725085,\n -22.831601221126007\n ],\n [\n -67.78008788535251,\n -22.609063851168642\n ],\n [\n -67.87296574722927,\n -22.14572723974814\n ],\n [\n -68.02735549475504,\n -21.9860055858162\n ],\n [\n -68.00747520297361,\n -21.78338809287746\n ],\n [\n -68.13982730894583,\n -21.582531107187478\n ],\n [\n -68.14208379305447,\n -21.298619454777707\n ],\n [\n -68.4485617181582,\n -20.855035763408367\n ],\n [\n -68.36324098119971,\n -20.629967343629005\n ],\n [\n -68.60194781286341,\n -20.448860198174884\n ],\n [\n -68.66787203176592,\n -20.163247709962278\n ],\n [\n -68.49539999683208,\n -20.120534557062484\n ],\n [\n -68.49641710776388,\n -19.874446023198914\n ],\n [\n -68.6262101295253,\n -19.75255881647402\n ],\n [\n -68.3474420372738,\n -19.37847764881917\n ],\n [\n -68.84346807711687,\n -18.97001232092731\n ],\n [\n -68.95149778518862,\n -18.59662487318073\n ],\n [\n -69.01650043642098,\n -18.032053018741024\n ],\n [\n -69.20959719545775,\n -17.92813801538297\n ],\n [\n -69.50983341631303,\n -17.485735223557455\n ],\n [\n -69.8956029767542,\n -17.76067687232566\n ],\n [\n -69.85280605689007,\n -18.181408078763454\n ],\n [\n -70.43224014460031,\n -18.45073242731108\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"72","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64ac2c","contributors":{"authors":[{"text":"Drees, Kevin P.","contributorId":81759,"corporation":false,"usgs":true,"family":"Drees","given":"Kevin P.","affiliations":[],"preferred":false,"id":349243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neilson, Julia W.","contributorId":44021,"corporation":false,"usgs":true,"family":"Neilson","given":"Julia","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":349240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - 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2006 - A 36,000-yr vegetation history from the Peloncillo Mountains, southeastern Arizona, USA","interactions":[],"lastModifiedDate":"2013-01-21T18:37:47","indexId":"70003998","displayToPublicDate":"2011-05-31T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"A 36,000-yr vegetation history from the Peloncillo Mountains, southeastern Arizona, USA","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaeogeography, Palaeoclimatology, Palaeoecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier Science","publisherLocation":"Amsterdam","doi":"10.1016/j.palaeo.2006.02.017","usgsCitation":"Holmgren, C.A., Betancourt, J.L., and Rylander, K., 2006, A 36,000-yr vegetation history from the Peloncillo Mountains, southeastern Arizona, USA: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 240, no. 3-4, p. 405-422, https://doi.org/10.1016/j.palaeo.2006.02.017.","productDescription":"18 p.","startPage":"405","endPage":"422","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":203838,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266217,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2006.02.017"}],"country":"United States","state":"Arizona","otherGeospatial":"Peloncillo Mountains","volume":"240","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4292","contributors":{"authors":[{"text":"Holmgren, Camille A.","contributorId":75258,"corporation":false,"usgs":true,"family":"Holmgren","given":"Camille","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":350083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":350081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rylander, Kate A.","contributorId":73324,"corporation":false,"usgs":true,"family":"Rylander","given":"Kate A.","affiliations":[],"preferred":false,"id":350082,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176792,"text":"70176792 - 2006 - Basaltic thermals and Subplinian plumes: Constraints from acoustic measurements at Shishaldin volcano, Alaska","interactions":[],"lastModifiedDate":"2016-10-05T16:51:46","indexId":"70176792","displayToPublicDate":"2011-02-11T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Basaltic thermals and Subplinian plumes: Constraints from acoustic measurements at Shishaldin volcano, Alaska","docAbstract":"The 1999 basaltic eruption of Shishaldin volcano (Alaska, USA) included both Strombolian and Subplinian activity, as well as a “pre-Subplinian” phase interpreted as the local coalescence within a long foam in the conduit. Although few visual observations were made of the eruption, a great deal of information regarding gas velocity, gas flux at the vent and plume height may be inferred by using acoustic recordings of the eruption. By relating acoustic power to gas velocity, a time series of gas velocity is calculated for the Subplinian and pre-Subplinian phases. These time series show trends in gas velocity that are interpreted as plumes or, for those signals lasting only a short time, thermals. The Subplinian phase is shown to be composed of a thermal followed by five plumes with a total expelled gas volume of
The initiation of the Subplinian activity is probably related to the arrival of a large overpressurised bubble close to the top of the magma column. A gradual increase in low-frequency (0.01–0.5 Hz) signal prior to this “trigger bubble” may be due to the rise of the bubble in the conduit. This delay corresponds to a reservoir located at ≈3.9 km below the surface, in good agreement with studies on other volcanoes.
The presence of two thermal phases is also identified in the middle of the pre-Subplinian phase with a total gas release of
The agreement is very good between estimates of the gas flux from modelling the plume height and those obtained from acoustic measurements, leading to a new method by which eruption physical parameters may be quantified. Furthermore, direct measurements of gas velocity can be used for better estimates of the
A major objective of the 1995 Florida Panther (Puma concolor cory) Recovery Plan is the establishment of 2 additional panther populations within the historic range. Our goal was to identify prospective sites for Florida panther reintroduction within the historic range based on quantitative landscape assessments. First, we delineated 86 panther home ranges using telemetry data collected from 1981 to 2001 in south Florida to develop a Mahalanobis distance (D2) habitat model, using 4 anthropogenic variables and 3 landscape variables mapped at a 500-m resolution. From that analysis, we identified 9 potential reintroduction sites of sufficient size to support a panther population. We then developed a similar D2 model at a higher spatial resolution to quantify the area of favorable panther habitat at each site. To address potential for the population to expand, we calculated the amount of favorable habitat adjacent to each prospective reintroduction site within a range of dispersal distances of female panthers. We then added those totals to the contiguous patches to estimate the total amount of effective panther habitat at each site. Finally, we developed an expert-assisted model to rank and incorporate potentially important habitat variables that were not appropriate for our empirical analysis (e.g., area of public lands, livestock density). Anthropogenic factors heavily influenced both the landscape and the expert-assisted models. Of the 9 areas we identified, the Okefenokee National Wildlife Refuge, Ozark National Forest, and Felsenthal National Wildlife Refuge regions had the highest combination of effective habitat area and expert opinion scores. Sensitivity analyses indicated that variability among key model parameters did not affect the high ranking of those sites. Those sites should be considered as starting points for the field evaluation of potential reintroduction sites.
","language":"English","publisher":"Wildlife Society","doi":"10.2193/0022-541X(2006)70[752:ISSFFP]2.0.CO;2","usgsCitation":"Thatcher, C.A., van Manen, F.T., and Clark, J.D., 2006, Identifying suitable sites for Florida panther reintroduction: Journal of Wildlife Management, v. 70, no. 3, p. 752-763, https://doi.org/10.2193/0022-541X(2006)70[752:ISSFFP]2.0.CO;2.","productDescription":"12 p.","startPage":"752","endPage":"763","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":320035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.803955078125,\n 29.152161283318915\n ],\n [\n -82.584228515625,\n 29.1233732108192\n ],\n [\n -82.298583984375,\n 29.104176683949984\n ],\n [\n -82.001953125,\n 29.075375179558346\n ],\n [\n -81.8701171875,\n 29.152161283318915\n ],\n [\n -81.7822265625,\n 29.305561325527698\n ],\n [\n -81.62841796875,\n 29.401319510041485\n ],\n [\n -81.45263671875,\n 29.46829664171322\n ],\n [\n -81.18896484375,\n 29.477861195816843\n ],\n [\n -80.980224609375,\n 29.334298230315675\n ],\n [\n -80.67260742187499,\n 28.738763971370293\n ],\n [\n -80.48583984375,\n 28.497660832963472\n ],\n [\n -80.5078125,\n 28.17855984939698\n ],\n [\n -80.2001953125,\n 27.42053815128712\n ],\n [\n -79.98046875,\n 27.039556602163195\n ],\n [\n -79.95849609375,\n 26.401710528707707\n ],\n [\n -80.04638671875,\n 25.750424835909385\n ],\n [\n -80.244140625,\n 25.512700007620513\n ],\n [\n -80.39794921875,\n 25.21488107113259\n ],\n [\n -80.68359375,\n 25.11544539706194\n ],\n [\n -80.9912109375,\n 25.055745117015316\n ],\n [\n -81.221923828125,\n 25.11544539706194\n ],\n [\n -81.221923828125,\n 25.37380917154398\n ],\n [\n -81.34277343749999,\n 25.572175556682115\n ],\n [\n -81.441650390625,\n 25.770213848960275\n ],\n [\n -81.771240234375,\n 25.78999956287362\n ],\n [\n -81.903076171875,\n 26.125850185680356\n ],\n [\n -82.012939453125,\n 26.362342068998764\n ],\n [\n -82.298583984375,\n 26.441065564038418\n ],\n [\n -82.33154296875,\n 26.755420897359123\n ],\n [\n -82.628173828125,\n 27.196014383173306\n ],\n [\n -82.7490234375,\n 27.527758206861886\n ],\n [\n -82.90283203125,\n 27.732160709580906\n ],\n [\n -82.94677734375,\n 27.98470011861268\n ],\n [\n -82.85888671875,\n 28.246327971048842\n ],\n [\n -82.79296874999999,\n 28.44937385955666\n ],\n [\n -82.7490234375,\n 28.632746799225856\n ],\n [\n -82.77099609375,\n 28.767659105691255\n ],\n [\n -82.8369140625,\n 28.93124697186731\n ],\n [\n -82.869873046875,\n 29.05616970274342\n ],\n [\n -82.803955078125,\n 29.152161283318915\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"70","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"570f6db5e4b0ef3b7ca3568e","contributors":{"authors":[{"text":"Thatcher, Cindy A. 0000-0003-0331-071X thatcherc@usgs.gov","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":2868,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"thatcherc@usgs.gov","middleInitial":"A.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":626646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":626647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":626648,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170257,"text":"70170257 - 2006 - Growth and sustainability of black bears at White River National Wildlife Refuge, Arkansas","interactions":[],"lastModifiedDate":"2016-04-13T15:11:22","indexId":"70170257","displayToPublicDate":"2010-12-07T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Growth and sustainability of black bears at White River National Wildlife Refuge, Arkansas","docAbstract":"The black bear (Ursus americanus) population at White River National Wildlife Refuge is isolated and genetically distinct, but hunting occurs adjacent to refuge boundaries and females with cubs are removed annually for a reintroduction project. We trapped and radiotracked bears to determine level of exploitation and compare methods for estimating population growth and sustainability. We captured 260 bears (113 M:147 F), 414 times, from 1998 through 2003. Survival estimates based on radiotracking and mark–recapture indicated that hunting and translocations were significant sources of loss. Based on mark–recapture data (Pradel estimator), the annual population growth rate (λ) averaged 1.066 (SE = 0.077) when translocation removals occurred and averaged 0.961 (SE = 0.155) when both harvest and translocations occurred. Estimates of λ based on a population simulation model (program RISKMAN) averaged 1.061 (SD = 0.104) and 1.100 (SD = 0.111) when no removals occurred, 1.003 (SD = 0.097) and 1.046 (SD = 0.102) when translocations occurred, and 0.973 (SD = 0.096) and 1.006 (SD = 0.099) when both harvest and translocations occurred, depending on the survival rate estimates we used. The probability of population decline by >25% over a 10-year period ranged from 13.8 to 68.8%, given our estimated removal rates. We conclude that hunting and translocation losses are at or exceed the maximum the population is capable of sustaining. Although extinction risks of this important bear population are low over the near term, it should continue to be closely monitored by state and federal agencies. The mark–recapture method we used to estimate λ proved to be a reliable alternative to more costly population modeling methods.
","language":"English","publisher":"Wildlife Society","doi":"10.2193/0022-541X(2006)70[1094:GASOBB]2.0.CO;2","usgsCitation":"Clark, J.D., and Eastridge, R., 2006, Growth and sustainability of black bears at White River National Wildlife Refuge, Arkansas: Journal of Wildlife Management, v. 70, no. 4, p. 1094-1101, https://doi.org/10.2193/0022-541X(2006)70[1094:GASOBB]2.0.CO;2.","productDescription":"8 p.","startPage":"1094","endPage":"1101","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":320036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","county":"Arkansas county, Desha county, Monroe county, Phillips county","otherGeospatial":"White River National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.18515014648438,\n 34.00428898114395\n ],\n [\n -91.2469482421875,\n 34.01055023831342\n ],\n [\n -91.24076843261719,\n 34.03729768165775\n ],\n [\n -91.241455078125,\n 34.057210513510306\n ],\n [\n -91.23458862304688,\n 34.068587174791965\n ],\n [\n -91.24282836914062,\n 34.085080620514844\n ],\n [\n -91.25312805175781,\n 34.099865116851994\n ],\n [\n -91.22840881347655,\n 34.115783994045756\n ],\n [\n -91.20368957519531,\n 34.14420310897081\n ],\n [\n -91.19956970214844,\n 34.161818161230386\n ],\n [\n -91.19476318359375,\n 34.17147646866661\n ],\n [\n -91.17965698242188,\n 34.179429539103374\n ],\n [\n -91.1700439453125,\n 34.20158056821986\n ],\n [\n -91.14463806152344,\n 34.21180215769026\n ],\n [\n -91.11305236816406,\n 34.21180215769026\n ],\n [\n -91.08901977539062,\n 34.21180215769026\n ],\n [\n -91.05949401855469,\n 34.204420022968065\n ],\n [\n -91.05262756347656,\n 34.186245860011574\n ],\n [\n -91.05262756347656,\n 34.16124999108587\n ],\n [\n -91.05606079101562,\n 34.13226824445654\n ],\n [\n -91.05812072753906,\n 34.0822371521209\n ],\n [\n -91.06979370117188,\n 34.05891711006568\n ],\n [\n -91.07460021972656,\n 34.04241857075928\n ],\n [\n -91.0821533203125,\n 34.028762179464465\n ],\n [\n -91.10069274902344,\n 34.016811033816374\n ],\n [\n -91.15287780761719,\n 34.0219331594475\n ],\n [\n -91.18515014648438,\n 34.00428898114395\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"70","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"570f6db4e4b0ef3b7ca35688","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":626649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eastridge, R.","contributorId":46464,"corporation":false,"usgs":true,"family":"Eastridge","given":"R.","affiliations":[],"preferred":false,"id":626650,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98862,"text":"ofr20061349 - 2006 - Genetic analyses of captive Alala (Corvus hawaiiensis) using AFLP analyses","interactions":[],"lastModifiedDate":"2013-11-15T14:18:58","indexId":"ofr20061349","displayToPublicDate":"2010-11-04T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1349","title":"Genetic analyses of captive Alala (Corvus hawaiiensis) using AFLP analyses","docAbstract":"Population level studies of genetic diversity can provide information about population structure, individual genetic distinctiveness and former population size. They are especially important for rare and threatened species like the Alala, where they can be used to assess extinction risks and evolutionary potential. In an ideal situation multiple methods should be used to detect variation, and these methods should be comparable across studies. In this report, we discuss AFLP (Amplified Fragment Length Polymorphism) as a genetic approach for detecting variation in the Alala , describe our findings, and discuss these in relation to mtDNA and microsatellite data reported elsewhere in this same population.\n\nAFLP is a technique for DNA fingerprinting that has wide applications. Because little or no prior knowledge of the particular species is required to carry out this method of analysis, AFLP can be used universally across varied taxonomic groups. Within individuals, estimates of diversity or heterozygosity across genomes may be complex because levels of diversity differ between and among genes. One of the more traditional methods of estimating diversity employs the use of codominant markers such as microsatellites. Codominant markers detect each allele at a locus independently. Hence, one can readily distinguish heterozygotes from homozygotes, directly assess allele frequencies and calculate other population level statistics. Dominant markers (for example, AFLP) are scored as either present or absent (null) so heterozygotes cannot be directly distinguished from homozygotes. However, the presence or absence data can be converted to expected heterozygosity estimates which are comparable to those determined by codominant markers. High allelic diversity and heterozygosity inherent in microsatellites make them excellent tools for studies of wild populations and they have been used extensively. One limitation to the use of microsatellites is that heterozygosity estimates are affected by the mutation rate at microsatellite loci, thus introducing a bias. Also, the number of loci that can be studied is frequently limited to fewer than 10. This theoretically represents a maximum of one marker for each of 10 chromosomes. Dominant markers like AFLP allow a larger fraction of the genome to be screened. Large numbers of loci can be screened by AFLP to resolve very small individual differences that can be used for identification of individuals, estimates of pairwise relatedness and, in some cases, for parentage analyses. Since AFLP is a dominant marker (can not distinguish between +/+ homozygote versus +/- heterozygote), it has limitations for parentage analyses. Only when both parents are homozygous for the absence of alleles (-/-) and offspring show a presence (+/+ or +/-) can the parents be excluded. In this case, microsatellites become preferable as they have the potential to exclude individual parents when the other parent is unknown. Another limitation of AFLP is that the loci are generally less polymorphic (only two alleles/locus) than microsatellite loci (often >10 alleles/locus). While generally fewer than 10 highly polymorphic microsatellite loci are enough to exclude and assign parentage, it might require up to 100 or more AFLP loci. While there are pros and cons to different methodologies, the total number of loci evaluated by AFLP generally offsets the limitations imposed due to the dominant nature of this approach and end results between methods are generally comparable.\n\nOverall objectives of this study were to evaluate the level of genetic diversity in the captive population of Alala, to compare genetic data with currently available pedigree information, and to determine the extent of relatedness of mating pairs and among founding individuals.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061349","usgsCitation":"Jarvi, S.I., and Bianchi, K.R., 2006, Genetic analyses of captive Alala (Corvus hawaiiensis) using AFLP analyses: U.S. Geological Survey Open-File Report 2006-1349, iii, 37 p., https://doi.org/10.3133/ofr20061349.","productDescription":"iii, 37 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":126125,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2006_1349.jpg"},{"id":14277,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1349/","linkFileType":{"id":5,"text":"html"}},{"id":279111,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1349/of2006-1349.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aebc0","contributors":{"authors":[{"text":"Jarvi, Susan I.","contributorId":47748,"corporation":false,"usgs":true,"family":"Jarvi","given":"Susan","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":306750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bianchi, Kiara R.","contributorId":97864,"corporation":false,"usgs":true,"family":"Bianchi","given":"Kiara","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":306751,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98712,"text":"tm11A2 - 2006 - FGDC Digital Cartographic Standard for Geologic Map Symbolization (PostScript Implementation)","interactions":[],"lastModifiedDate":"2024-07-01T18:40:13.69788","indexId":"tm11A2","displayToPublicDate":"2010-09-17T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-A2","title":"FGDC Digital Cartographic Standard for Geologic Map Symbolization (PostScript Implementation)","docAbstract":"PLEASE NOTE: This now-approved 'FGDC Digital Cartographic Standard for Geologic Map Symbolization (PostScript Implementation)' officially supercedes its earlier (2000) Public Review Draft version (see 'Earlier Versions of the Standard' below). \r\n\r\nIn August 2006, the Digital Cartographic Standard for Geologic Map Symbolization was officially endorsed by the Federal Geographic Data Committee (FGDC) as the national standard for the digital cartographic representation of geologic map features (FGDC Document Number FGDC-STD-013-2006). Presented herein is the PostScript Implementation of the standard, which will enable users to directly apply the symbols in the standard to geologic maps and illustrations prepared in desktop illustration and (or) publishing software. \r\n\r\nThe FGDC Digital Cartographic Standard for Geologic Map Symbolization contains descriptions, examples, cartographic specifications, and notes on usage for a wide variety of symbols that may be used on typical, general-purpose geologic maps and related products such as cross sections. The standard also can be used for different kinds of special-purpose or derivative map products and databases that may be focused on a specific geoscience topic (for example, slope stability) or class of features (for example, a fault map). The standard is scale-independent, meaning that the symbols are appropriate for use with geologic mapping compiled or published at any scale. It will be useful to anyone who either produces or uses geologic map information, whether in analog or digital form. \r\n\r\nPlease be aware that this standard is not intended to be used inflexibly or in a manner that will limit one's ability to communicate the observations and interpretations gained from geologic mapping. In certain situations, a symbol or its usage might need to be modified in order to better represent a particular feature on a geologic map or cross section. This standard allows the use of any symbol that doesn't conflict with others in the standard, provided that it is clearly explained on the map and in the database. In addition, modifying the size, color, and (or) lineweight of an existing symbol to suit the needs of a particular map or output device also is permitted, provided that the modified symbol's appearance is not too similar to another symbol on the map. Be aware, however, that reducing lineweights below .125 mm (.005 inch) may cause symbols to plot incorrectly if output at higher resolutions (1800 dpi or higher). \r\n\r\nFor guidelines on symbol usage, as well as on color design and map labeling, please refer to the standard's introductory text. Also found there are informational sections covering concepts of geologic mapping and some definitions of geologic map features, as well as sections on the newly defined concepts and terminology for the scientific confidence and locational accuracy of geologic map features. \r\n\r\nMore information on both the past development and the future maintenance of the FGDC Digital Cartographic Standard for Geologic Map Symbolization can be found at the FGDC Geologic Data Subcommittee website (http://ngmdb.usgs.gov/fgdc_gds/). \r\n\r\nEarlier Versions of the Standard","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/tm11A2","collaboration":"Prepared in cooperation with the Geologic Data Subcommittee of the Federal Geographic Data Committee","usgsCitation":"U.S. Geological Survey, 2006, FGDC Digital Cartographic Standard for Geologic Map Symbolization (PostScript Implementation) (Version 1.0): U.S. Geological Survey Techniques and Methods 11-A2, HTML Page; PDF Files, https://doi.org/10.3133/tm11A2.","productDescription":"HTML Page; PDF Files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":14120,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/2006/11A02/","linkFileType":{"id":5,"text":"html"}},{"id":115934,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_A2.jpg"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49a0e4b07f02db5bddac","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":147999,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":905333,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":5224586,"text":"5224586 - 2006 - [Book review] Donnelly M.A., Crothers B., Guyer C, Wake M.H., White M.E, (Eds.). Ecology and Evolution in the Tropics ? A Herpetological Perspective, University of Chicago Press, 2005, Pages 675, Price: $45.00, ISBN 0-226-15658-3","interactions":[],"lastModifiedDate":"2012-02-02T00:15:10","indexId":"5224586","displayToPublicDate":"2010-06-16T13:18:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"[Book review] Donnelly M.A., Crothers B., Guyer C, Wake M.H., White M.E, (Eds.). Ecology and Evolution in the Tropics ? A Herpetological Perspective, University of Chicago Press, 2005, Pages 675, Price: $45.00, ISBN 0-226-15658-3","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","collaboration":"6464_Reynolds.pdf","usgsCitation":"Reynolds, R., 2006, [Book review] Donnelly M.A., Crothers B., Guyer C, Wake M.H., White M.E, (Eds.). Ecology and Evolution in the Tropics ? A Herpetological Perspective, University of Chicago Press, 2005, Pages 675, Price: $45.00, ISBN 0-226-15658-3: Biological Conservation, v. 127, no. 1.","productDescription":"p. 128","startPage":"128","numberOfPages":"128","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":16819,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V5X-4H0S1M2-1&_user=696292&_handle=V-WA-A-W-AV-MsSAYVW-UUW-U-AAVBZAEVUZ-AAVAWUUWUZ-ZYZAVYVUZ-AV-U&_fmt=summary&_coverDate=01%2F31%2F2006&_rdoc=14&_orig=browse&_srch=%23toc%235798%232006%23998729998%23609086!&_cdi=5798&view=c&_acct=C000038819&_version=1&_urlVersion=0&_userid=696292&md5=91db665be45cb11da92e8f9c4af0879b","linkFileType":{"id":5,"text":"html"}},{"id":195953,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4779e4b07f02db47f408","contributors":{"authors":[{"text":"Reynolds, R.P.","contributorId":104439,"corporation":false,"usgs":true,"family":"Reynolds","given":"R.P.","email":"","affiliations":[],"preferred":false,"id":341994,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":5224625,"text":"5224625 - 2006 - Predicting regional abundance of rare grassland birds with a hierarchical spatial count model","interactions":[],"lastModifiedDate":"2012-02-02T00:15:30","indexId":"5224625","displayToPublicDate":"2010-06-16T12:18:55","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Predicting regional abundance of rare grassland birds with a hierarchical spatial count model","docAbstract":"Grassland birds are among the most imperiled groups of birds in North America. Unfortunately, little is known about the location of regional concentrations of these birds, thus regional or statewide conservation efforts may be inappropriately applied, reducing their effectiveness. We identified environmental covariates associated with the abundance of five grassland birds in the upper midwestern United States (Bobolink [Dolichonyx oryzivorus], Grasshopper Sparrow [Ammodramus savannarum], Henslow's Sparrow [A. henslowii], Sedge Wren [Cistothorus platensis], and Upland Sandpiper [Bartramia longicauda]) with a hierarchical spatial count model fitted with Markov chain Monte Carlo methods. Markov chain Monte Carlo methods are well suited to this task because they are able to incorporate effects associated with autocorrelated counts and nuisance effects associated with years and observers, and the resulting models can be used to map predicted abundance at a landscape scale. Environmental covariates were derived from five suites of variables: landscape composition, landscape configuration, terrain heterogeneity and physiognomy, climate, and human influence. The final models largely conformed to our a priori expectations. Bobolinks and Henslow's Sparrows were strongly sensitive to grassland patch area. All of the species except Henslow's Sparrows exhibited substantial negative relations with forest composition, often at multiple spatial scales. Climate was found to be important for all species, and was the most important factor influencing abundance of Grasshopper Sparrows. After mapping predicted abundance, we found no obvious correspondence in the regional patterns of the five species. Thus, no clearly defined areas exist within the upper midwestern United States where management plans can be developed for a whole suite of grassland birds. Instead, a larger, region-wide initiative setting different goals for different species is recommended.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"6530_Thogmartin.pdf","usgsCitation":"Thogmartin, W., Knutson, M.G., and Sauer, J., 2006, Predicting regional abundance of rare grassland birds with a hierarchical spatial count model: Condor, v. 108, no. 1, p. 25-46.","productDescription":"25-46","startPage":"25","endPage":"46","numberOfPages":"22","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":17555,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.bioone.org/doi/abs/10.1650/0010-5422(2006)108%5B0025%3APRAORG%5D2.0.CO%3B2","linkFileType":{"id":5,"text":"html"}},{"id":202161,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b07e4b07f02db69adf9","contributors":{"authors":[{"text":"Thogmartin, W.E. 0000-0002-2384-4279","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":26392,"corporation":false,"usgs":true,"family":"Thogmartin","given":"W.E.","affiliations":[],"preferred":false,"id":342139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knutson, M. G.","contributorId":55375,"corporation":false,"usgs":false,"family":"Knutson","given":"M.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":342140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauer, J.R. 0000-0002-4557-3019","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":66197,"corporation":false,"usgs":true,"family":"Sauer","given":"J.R.","affiliations":[],"preferred":false,"id":342141,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":5224639,"text":"5224639 - 2006 - Estimating species richness and accumulation by modeling species occurrence and detectability","interactions":[],"lastModifiedDate":"2012-02-02T00:15:30","indexId":"5224639","displayToPublicDate":"2010-06-16T12:18:55","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating species richness and accumulation by modeling species occurrence and detectability","docAbstract":"A statistical model is developed for estimating species richness and accumulation by formulating these community-level attributes as functions of model-based estimators of species occurrence while accounting for imperfect detection of individual species. The model requires a sampling protocol wherein repeated observations are made at a collection of sample locations selected to be representative of the community. This temporal replication provides the data needed to resolve the ambiguity between species absence and nondetection when species are unobserved at sample locations. Estimates of species richness and accumulation are computed for two communities, an avian community and a butterfly community. Our model-based estimates suggest that detection failures in many bird species were attributed to low rates of occurrence, as opposed to simply low rates of detection. We estimate that the avian community contains a substantial number of uncommon species and that species richness greatly exceeds the number of species actually observed in the sample. In fact, predictions of species accumulation suggest that even doubling the number of sample locations would not have revealed all of the species in the community. In contrast, our analysis of the butterfly community suggests that many species are relatively common and that the estimated richness of species in the community is nearly equal to the number of species actually detected in the sample. Our predictions of species accumulation suggest that the number of sample locations actually used in the butterfly survey could have been cut in half and the asymptotic richness of species still would have been attained. 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