This chapter introduces the reader to a wide spectrum of storm surge modeling systems used to assess the impact of tropical cyclones, covering a range of numerical methods, model domains, forcing and boundary conditions, and purposes. New technologies to obtain data such as deployment of temporary sensors and remote sensing practices to support modeling are also presented. Extensive storm surge modeling applications have been made with existing modeling systems and some of them are described in this chapter.
The authors recognize the importance of evaluating river-ocean interactions in coastal environments during tropical cyclones. Therefore, the coupling of hydraulic (riverine) and storm surge models is discussed. In addition, results from studies performed in the coast of India are shown which generated maps to help emergency managers and reduce risk due to coastal inundation.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World Scientific Series on Asia-Pacific Weather and Climate","language":"English","publisher":"World Scientific Publishing Co","doi":"10.1142/9789814293488_0012","usgsCitation":"Dube, S.K., Murty, T.S., Feyen, J.C., Cabrera, R., Harper, B.A., Bales, J.D., and Amer, S., 2010, Storm surge modeling and applications in coastal areas, chap. of World Scientific Series on Asia-Pacific Weather and Climate, v. 4, p. 363-406, https://doi.org/10.1142/9789814293488_0012.","productDescription":"44 p.","startPage":"363","endPage":"406","ipdsId":"IP-008464","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":349704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2012-01-26","publicationStatus":"PW","scienceBaseUri":"5a610a95e4b06e28e9c256b3","contributors":{"authors":[{"text":"Dube, Shisir K.","contributorId":199237,"corporation":false,"usgs":false,"family":"Dube","given":"Shisir","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":718471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murty, Tad S.","contributorId":199238,"corporation":false,"usgs":false,"family":"Murty","given":"Tad","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":718472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feyen, Jesse C.","contributorId":199236,"corporation":false,"usgs":false,"family":"Feyen","given":"Jesse","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":718470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cabrera, Reggina","contributorId":201161,"corporation":false,"usgs":false,"family":"Cabrera","given":"Reggina","email":"","affiliations":[],"preferred":false,"id":724475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harper, Bruce A.","contributorId":201162,"corporation":false,"usgs":false,"family":"Harper","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724476,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bales, Jerad D. 0000-0001-8398-6984 jdbales@usgs.gov","orcid":"https://orcid.org/0000-0001-8398-6984","contributorId":683,"corporation":false,"usgs":true,"family":"Bales","given":"Jerad","email":"jdbales@usgs.gov","middleInitial":"D.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":718468,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amer, Saud A. samer@usgs.gov","contributorId":3300,"corporation":false,"usgs":true,"family":"Amer","given":"Saud A.","email":"samer@usgs.gov","affiliations":[{"id":349,"text":"International Water Resources Branch","active":true,"usgs":true}],"preferred":true,"id":718469,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70160571,"text":"70160571 - 2010 - Distribution of Escherichia coli and Enterococci in water, sediments, and bank soils along North Shore Channel between Bridge Street and Wilson Avenue, Metropolitan Water Reclamation District of Greater Chicago","interactions":[],"lastModifiedDate":"2017-04-26T14:16:09","indexId":"70160571","displayToPublicDate":"2010-12-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Distribution of Escherichia coli and Enterococci in water, sediments, and bank soils along North Shore Channel between Bridge Street and Wilson Avenue, Metropolitan Water Reclamation District of Greater Chicago","docAbstract":"The Metropolitan Water Reclamation District of Greater Chicago (MWRDGC) wished to know the distribution and potential sources of fecal indicator bacteria, E. coli and enterococci, in water, sediments, and upland soils along an upstream and downstream portion of the North Shore Channel (NSC) that is the receiving stream for the District’s North Side Water Reclamation Plant (NSWRP) outfall. Biweekly water and sediment samples were collected between August and October 2008 and included the following locations upstream of the outfall: Bridge Street (UPS-1), Oakton Street (UPS-2), the NSWRP outfall (OF), and downstream: Foster Avenue (DNS-1), and Wilson Avenue (DNS-2). E. coli and enterococci were consistently found in water and sediments at all sampling locations, with bacterial densities in water increasing below the NSWRP outfall; bacterial densities in sediment were more variable. On a relative measurement basis (i.e., 100 ml=100 g), both E. coli and enterococci densities were significantly higher in sediments than water. E. coli and enterococci were consistently recovered from bank soil along wooded, grassy, erosional, and depositional areas at two recreational parks, as well as other riparian areas along the river. Thus, soils along the river basin are likely sources of these bacteria to the NSC channel, introduced through runoff or other physical processes. Tributaries, such as the North Branch of the Chicago River (NBCR) that flow into NSC near Albany Ave, may provide a constant source of E. coli and enterococci to the NSC. Additionally, storm sewer outfalls may increase E. coli loadings to NSC during wet weather conditions. Our findings suggest that the abundance of nonpoint sources contributing to the overall fecal indicator bacteria (FIB) load in the NSC channel may complicate bacteria source determination and remediation efforts to protect the stream water quality.","language":"English","publisher":"Metropolitan Water Reclamation District of Greater Chicago Research and Development","usgsCitation":"Byappanahalli, M., Whitman, R.L., Shively, D., Przybyla-Kelly, K., and Lukasik, A.M., 2010, Distribution of Escherichia coli and Enterococci in water, sediments, and bank soils along North Shore Channel between Bridge Street and Wilson Avenue, Metropolitan Water Reclamation District of Greater Chicago, i, 42 p.","productDescription":"i, 42 p.","ipdsId":"IP-018276","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312773,"type":{"id":11,"text":"Document"},"url":"https://www.mwrd.org/pv_obj_cache/pv_obj_id_85503FDE5AC97438028182B0D9D1FB3BB8B00600/filename/USGS-MWRD_Project_Report_Final.pdf"}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"North Shore Channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.82230377197266,\n 41.940339655623845\n ],\n [\n -87.60395050048828,\n 41.940339655623845\n ],\n [\n -87.60395050048828,\n 42.08115224423561\n ],\n [\n -87.82230377197266,\n 42.08115224423561\n ],\n [\n -87.82230377197266,\n 41.940339655623845\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1c0e4b0c2e071a99bbc","contributors":{"authors":[{"text":"Byappanahalli, Muruleedhara 0000-0001-5376-597X byappan@usgs.gov","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":147923,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","email":"byappan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shively, Dawn","contributorId":93014,"corporation":false,"usgs":true,"family":"Shively","given":"Dawn","affiliations":[],"preferred":false,"id":693061,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Przybyla-Kelly, Katarzyna kprzybyla-kelly@usgs.gov","contributorId":3613,"corporation":false,"usgs":true,"family":"Przybyla-Kelly","given":"Katarzyna","email":"kprzybyla-kelly@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583170,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lukasik, Ashley M.","contributorId":32421,"corporation":false,"usgs":true,"family":"Lukasik","given":"Ashley","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":583171,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70197915,"text":"70197915 - 2010 - Relationship between fibropapillomatosis and environmental quality: A case study with Chelonia mydas off Brazil","interactions":[],"lastModifiedDate":"2018-06-26T13:11:08","indexId":"70197915","displayToPublicDate":"2010-12-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Relationship between fibropapillomatosis and environmental quality: A case study with Chelonia mydas off Brazil","title":"Relationship between fibropapillomatosis and environmental quality: A case study with Chelonia mydas off Brazil","docAbstract":"We documented the presence of fibropapillomatosis (FP), a debilitating tumor-forming disease, in marine turtles in Espírito Santo Bay (Brazil) from March 2007 to April 2008, and assessed the value of a specific environmental index for predicting the prevalence of FP. Turtles were captured monthly with entanglement nets and scored for presence and severity of FP. For the assessment of habitat quality, we used the ecological evaluation index (EEI) based on benthic macrophytes. The FPfree control area was classified as good quality (EEI = 8) and the study area, with high FP prevalence, was classified as bad quality (EEI = 2). Prevalence of FP in the study area was 58.3% with an average of 40 tumors per individual, and prevalence varied positively with curved carapace length (CCL). No FP was seen in the control area. The number of turtles heavily afflicted (tumor score category 3) was 10 times larger than those lightly affected (tumor score category 1). Most tumors were found on or near the front and rear flippers; no oral tumors or internal tumors were found. At recapture, 41% of formerly tumor-free turtles revealed FP, often increasing in severity with time, and very few turtles showed signs of disease regression. From the results of this study we concluded that FP is particularly severe in Espírito Santo Bay. Future studies should focus on evaluating how widespread FP is in Brazil, whether prevalence is increasing or decreasing, and elucidating the pathology and pathogenesis of FP in sea turtles in Brazil.
","language":"English","publisher":"Inter-Research","doi":"10.3354/dao02178","usgsCitation":"Santos, R.G., Martins, A.S., Torezani, E., Baptistotte, C., Farias, J.D., Horta, A.P., Work, T.M., and Balazs, G., 2010, Relationship between fibropapillomatosis and environmental quality: A case study with Chelonia mydas off Brazil: Diseases of Aquatic Organisms, v. 89, p. 87-95, https://doi.org/10.3354/dao02178.","productDescription":"9 p.","startPage":"87","endPage":"95","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":475626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao02178","text":"Publisher Index Page"},{"id":355358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b470089e4b060350a160a83","contributors":{"authors":[{"text":"Santos, Robson G.","contributorId":84637,"corporation":false,"usgs":true,"family":"Santos","given":"Robson","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":739085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martins, Agnaldo Silva","contributorId":58148,"corporation":false,"usgs":true,"family":"Martins","given":"Agnaldo","email":"","middleInitial":"Silva","affiliations":[],"preferred":false,"id":739086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torezani, E.","contributorId":205988,"corporation":false,"usgs":false,"family":"Torezani","given":"E.","email":"","affiliations":[],"preferred":false,"id":739087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baptistotte, Cecilia","contributorId":62892,"corporation":false,"usgs":true,"family":"Baptistotte","given":"Cecilia","affiliations":[],"preferred":false,"id":739088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farias, Julyana da Nobrega","contributorId":100252,"corporation":false,"usgs":true,"family":"Farias","given":"Julyana","email":"","middleInitial":"da Nobrega","affiliations":[],"preferred":false,"id":739089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horta, Antunes Paulo","contributorId":45584,"corporation":false,"usgs":true,"family":"Horta","given":"Antunes","email":"","middleInitial":"Paulo","affiliations":[],"preferred":false,"id":739090,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":739091,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Balazs, G.H.","contributorId":45254,"corporation":false,"usgs":true,"family":"Balazs","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":739092,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70197919,"text":"70197919 - 2010 - Microparasite ecology and health status of common bluestriped snapper Lutjanus kasmira from the Pacific Islands","interactions":[],"lastModifiedDate":"2018-06-26T13:21:15","indexId":"70197919","displayToPublicDate":"2010-12-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":860,"text":"Aquatic Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Microparasite ecology and health status of common bluestriped snapper Lutjanus kasmira from the Pacific Islands","title":"Microparasite ecology and health status of common bluestriped snapper Lutjanus kasmira from the Pacific Islands","docAbstract":"Common bluestriped snappers Lutjanus kasmira were intentionally introduced into Hawaii from the South Pacific in the 1950s and have become well established throughout the archipelago. We examined health, prevalence and infection intensity of 2 microparasites, coccidia and epitheliocystis-like organisms (ELO), in L. kasmira from their introduced and native range including the islands where translocated fish originated (Tahiti and Marquesas Islands, French Polynesia) and from several other islands (American Samoa, Fiji and New Caledonia). In addition, we did a longitudinal survey of these parasites in the introduced range. Coccidia and ELO were widely distributed and were found on all islands except for New Caledonia. Health indices, as measured by overall organ lesions, body condition and parasite intensity, indicated that fish from Samoa were the least healthy, and fish from Midway (Hawaiian Archipelago) were the healthiest. Microparasite diversity was highest on Midway and Hawaii and lowest on New Caledonia. Infection of coccidia followed an asymptotic size–prevalence curve, whereas that of ELO peaked at larger size classes (27.8 cm). Prevalence and aggregation of both parasites in the host varied dynamically over 8 yr, with prevalence and aggregation of coccidia being consistently higher and lower, respectively, than ELO. We hypothesize that these parasites are enzootic to the Hawaiian Islands and were not introduced with fish from Tahiti or the Marquesas Islands. Host response and aggregation parameters suggest that coccidia exert a negative effect on their host and probably have an indirect life cycle, whereas ELO appears less pathogenic and has a direct life cycle.
","language":"English","publisher":"Inter-Research","doi":"10.3354/ab00250","usgsCitation":"Work, T.M., Vignon, M., and Aeby, G., 2010, Microparasite ecology and health status of common bluestriped snapper Lutjanus kasmira from the Pacific Islands: Aquatic Biology, v. 9, p. 185-192, https://doi.org/10.3354/ab00250.","productDescription":"8 p.","startPage":"185","endPage":"192","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":475623,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/ab00250","text":"Publisher Index Page"},{"id":355362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b470089e4b060350a160a7f","contributors":{"authors":[{"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":739100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vignon, M.","contributorId":205990,"corporation":false,"usgs":false,"family":"Vignon","given":"M.","email":"","affiliations":[],"preferred":false,"id":739101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aeby, G.S.","contributorId":56624,"corporation":false,"usgs":true,"family":"Aeby","given":"G.S.","email":"","affiliations":[],"preferred":false,"id":739102,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194455,"text":"70194455 - 2010 - Developing a spatially distributed terrestrial biogeochemical cycle modeling system to support the management of Fort Benning and its surrounding areas","interactions":[],"lastModifiedDate":"2018-04-23T09:17:36","indexId":"70194455","displayToPublicDate":"2010-12-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"SERDP Project RC-1462","title":"Developing a spatially distributed terrestrial biogeochemical cycle modeling system to support the management of Fort Benning and its surrounding areas","docAbstract":"The overarching goal of this project is to develop an advanced, spatially distributed biogeochemical cycle modeling system to simulate the dynamics of ecosystem C and N cycles under historical, current, and future land use and disturbances scenarios. The modeling system and simulated results were used to facilitate the evaluation of the environmental consequences of various training and management activities and, therefore, to support future land use and training operations.
","language":"English","publisher":"U.S. Department of Defense","usgsCitation":"Liu, S., Tieszen, L.L., Zhao, S., Li, Z., and Liu, J., 2010, Developing a spatially distributed terrestrial biogeochemical cycle modeling system to support the management of Fort Benning and its surrounding areas, 77 p.","productDescription":"77 p.","ipdsId":"IP-020436","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":349511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349510,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dtic.mil/docs/citations/ADA578897"}],"country":"United States","state":"Georgia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.08224487304688,\n 32.21628671904614\n ],\n [\n -84.55352783203125,\n 32.21628671904614\n ],\n [\n -84.55352783203125,\n 32.59426298812166\n ],\n [\n -85.08224487304688,\n 32.59426298812166\n ],\n [\n -85.08224487304688,\n 32.21628671904614\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610a95e4b06e28e9c256ad","contributors":{"authors":[{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":723910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":724016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhao, Shuqing","contributorId":9152,"corporation":false,"usgs":true,"family":"Zhao","given":"Shuqing","email":"","affiliations":[],"preferred":false,"id":724017,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Zhen","contributorId":200957,"corporation":false,"usgs":false,"family":"Li","given":"Zhen","affiliations":[],"preferred":false,"id":724018,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":724019,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70003516,"text":"70003516 - 2010 - Estimating carcass persistence and scavenging bias in a human‐influenced landscape in western Alaska","interactions":[],"lastModifiedDate":"2021-02-09T20:19:33.552485","indexId":"70003516","displayToPublicDate":"2010-12-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating carcass persistence and scavenging bias in a human‐influenced landscape in western Alaska","docAbstract":"We examined variation in persistence rates of waterfowl carcasses placed along a series of transects in tundra habitats in western Alaska. This study was designed to assess the effects of existing tower structures and was replicated with separate trials in winter, summer and fall as both the resident avian population and the suite of potential scavengers varied seasonally. Carcass persistence rates were uniformly low, with <50% of carcasses persisting for more than a day on average. Persistence rate varied by carcass age, carcass size, among transects and was lowest in the fall and highest in the summer. We found little support for models where persistence varied in relation to the presence of tower structures. We interpret this as evidence that scavengers were not habituated to searching for carcasses near these structures. Our data demonstrate that only a small fraction of bird carcasses are likely to persist between searches, and if not appropriately accounted for, scavenging bias could significantly influence bird mortality estimates. The variation that we documented suggests that persistence rates should not be extrapolated among tower locations or across time periods as the variation in carcass persistence will result in biased estimates of total bird strike mortality.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/j.1557-9263.2009.00262.x","usgsCitation":"Flint, P.L., Lance, E.W., Sowl, K.M., and Donnelly, T.F., 2010, Estimating carcass persistence and scavenging bias in a human‐influenced landscape in western Alaska: Journal of Field Ornithology, v. 81, no. 2, p. 206-214, https://doi.org/10.1111/j.1557-9263.2009.00262.x.","productDescription":"9 p.","startPage":"206","endPage":"214","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":383174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cold Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163.25958251953128,\n 54.930298209559496\n ],\n [\n -162.257080078125,\n 54.930298209559496\n ],\n [\n -162.257080078125,\n 55.3978314593603\n ],\n [\n -163.25958251953128,\n 55.3978314593603\n ],\n [\n -163.25958251953128,\n 54.930298209559496\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"81","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fca05","contributors":{"authors":[{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":347601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lance, Ellen W.","contributorId":53517,"corporation":false,"usgs":true,"family":"Lance","given":"Ellen","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":347603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sowl, Kristine M.","contributorId":60372,"corporation":false,"usgs":false,"family":"Sowl","given":"Kristine","email":"","middleInitial":"M.","affiliations":[{"id":12598,"text":"Izembek National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":347604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donnelly, Tyrone F. tfdonnelly@usgs.gov","contributorId":4369,"corporation":false,"usgs":true,"family":"Donnelly","given":"Tyrone","email":"tfdonnelly@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":347602,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70229032,"text":"70229032 - 2010 - Topographic complexity and roughness of a tropical benthic seascape","interactions":[],"lastModifiedDate":"2022-02-25T23:12:29.385847","indexId":"70229032","displayToPublicDate":"2010-12-29T16:52:53","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Topographic complexity and roughness of a tropical benthic seascape","docAbstract":"Topographic complexity is a fundamental structural property of benthic marine ecosystems that exists across all scales and affects a multitude of processes. Coral reefs are a prime example, for which this complexity has been found to impact water flow, species diversity, nutrient uptake, and wave-energy dissipation, among other properties. Despite its importance, only limited assessments are available regarding the distribution or range of topographic complexity within or between benthic communities. Here, we show substantial variability in topographic complexity over the entire inner-shelf seascape of a tropical island. Roughness, estimated in terms of fractal dimension, served as a proxy for topographic complexity, and was computed for linear transects (DT), as well as the benthic surface (DS). Spatial variability in both DT and DS was correlated with the known distribution of benthic cover types in the seascape. Transect roughness values ranged from 1.0 to 1.7, with features along the shelf edge being markedly anisotropic with an along-shore bias, whereas regions with high scleractinian coral cover were nearly isotropic and exhibited minimal directional bias. Surface-roughness values ranged from 2.0 in predominantly hardbottom areas with low coral cover to 2.5 in areas with high coral cover. Quantifying roughness across the substrates and biological communities for an entire seascape provides a synoptic view of its spatial variability at scales appropriate for numerous research efforts, including ecosystem studies, parameterizing hydrodynamic models, and designing monitoring programs.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GL043789","usgsCitation":"Zawada, D., Hearn, C., and Piniak, G., 2010, Topographic complexity and roughness of a tropical benthic seascape: Geophysical Research Letters, v. 37, L14604, 6 p., https://doi.org/10.1029/2010GL043789.","productDescription":"L14604, 6 p.","ipdsId":"IP-012117","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":396531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Navassa Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.00022888183594,\n 18.393298112384137\n ],\n [\n -75.00263214111328,\n 18.409749388401245\n ],\n [\n -75.00606536865234,\n 18.41219251316819\n ],\n [\n -75.03044128417969,\n 18.41577570009489\n ],\n [\n -75.03061294555664,\n 18.41170389098899\n ],\n [\n -75.02014160156249,\n 18.39346100400673\n ],\n [\n -75.01001358032227,\n 18.389388667246656\n ],\n [\n -75.00022888183594,\n 18.393298112384137\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","noUsgsAuthors":false,"publicationDate":"2010-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":836317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearn, Clifford J.","contributorId":286277,"corporation":false,"usgs":false,"family":"Hearn","given":"Clifford J.","affiliations":[{"id":61079,"text":"ETI Professionals, Inc.","active":true,"usgs":false}],"preferred":false,"id":836315,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Piniak, Gregory","contributorId":286278,"corporation":false,"usgs":false,"family":"Piniak","given":"Gregory","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":836316,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":98972,"text":"ofr20101298 - 2010 - Geochemical data for core and bottom-sediment samples collected in 2007 from Grand Lake O' the Cherokees, northeast Oklahoma","interactions":[],"lastModifiedDate":"2019-08-05T10:03:32","indexId":"ofr20101298","displayToPublicDate":"2010-12-29T00:00:00","publicationYear":"2010","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":"2010-1298","title":"Geochemical data for core and bottom-sediment samples collected in 2007 from Grand Lake O' the Cherokees, northeast Oklahoma","docAbstract":"Grand Lake O' the Cherokees is a large reservoir in northeast Oklahoma, below the confluence of the Neosho and Spring Rivers, both of which drain the Tri-State Mining District to the north. The Tri-State district covers an area of 1,200 mi2 (3,100 km2) and comprises Mississippi Valley-type lead-zinc deposits. A result of 120 years of mining activity is an estimated 75 million tons of processed mine tailings (chat) remaining in the district. Concerns of sediment quality and the possibility of human exposure to cadmium and lead through eating fish have led to several studies of the sediments in the Tri-State district.\r\n\r\nIn order to record the transport and deposition of metals from the Tri-State district by the Spring and Neosho Rivers into Grand Lake O' the Cherokees, the U.S. Geological Survey collected 11 sediment cores and 15 bottom-sediment samples in September 2007. Subsamples from five selected cores and the bottom-sediment samples were analyzed for major and trace elements and forms of carbon.\r\n\r\nThe sediment samples collected from the sediment-water interface had larger average concentrations of zinc, cadmium, and lead than local background. The core collected from the Spring River had the largest concentrations of mining-related elements. A core collected just south of Twin Bridges State Park, at the confluence of the Spring and Neosho Rivers, showed a mixing zone with more mining-related elements coming from the Spring River side. The element zinc showed the most definitive patterns in graphs depicting concentration-versus-depth profiles. A core collected from the main body of the reservoir showed affected sediment down to a depth of 85 cm (33 in). This core and two others appear to have penetrated to below mining-affected sediment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101298","usgsCitation":"Fey, D.L., Becker, M.F., and Smith, K.S., 2010, Geochemical data for core and bottom-sediment samples collected in 2007 from Grand Lake O' the Cherokees, northeast Oklahoma: U.S. Geological Survey Open-File Report 2010-1298, vi, 20 p., https://doi.org/10.3133/ofr20101298.","productDescription":"vi, 20 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":126055,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1298.png"},{"id":14404,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1298/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.08333333333333,36.4 ], [ -95.08333333333333,36.86666666666667 ], [ -94.63333333333334,36.86666666666667 ], [ -94.63333333333334,36.4 ], [ -95.08333333333333,36.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae74b","contributors":{"authors":[{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":307120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Becker, Mark F.","contributorId":40180,"corporation":false,"usgs":true,"family":"Becker","given":"Mark","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":307121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":307122,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98973,"text":"ofr20101303 - 2010 - Comprehensive database of wellbore temperatures and drilling mud weight pressures by depth for Judge Digby field, Louisiana","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ofr20101303","displayToPublicDate":"2010-12-29T00:00:00","publicationYear":"2010","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":"2010-1303","title":"Comprehensive database of wellbore temperatures and drilling mud weight pressures by depth for Judge Digby field, Louisiana","docAbstract":"This document serves as the repository for the unprocessed data used in the investigation of temperature and overpressure relations within the deep Tuscaloosa Formation in Judge Digby field. It is a compilation of all the publicly accessible wellbore temperature and pressure data for Judge Digby field, a prolific natural gas field producing from the Upper Cretaceous lower part of the Tuscaloosa Formation in the Gulf Coast region. This natural gas field is in Pointe Coupee Parish in the southern part of onshore Louisiana.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101303","usgsCitation":"Burke, L., 2010, Comprehensive database of wellbore temperatures and drilling mud weight pressures by depth for Judge Digby field, Louisiana: U.S. Geological Survey Open-File Report 2010-1303, iv, 207 p.; Database XLS, https://doi.org/10.3133/ofr20101303.","productDescription":"iv, 207 p.; Database XLS","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":126056,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1303.png"},{"id":14405,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1303/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.58333333333333,30.583333333333332 ], [ -91.58333333333333,30.666666666666668 ], [ -91.5,30.666666666666668 ], [ -91.5,30.583333333333332 ], [ -91.58333333333333,30.583333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b19e4b07f02db6a7f35","contributors":{"authors":[{"text":"Burke, Lauri 0000-0002-2035-8048","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":44891,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","affiliations":[],"preferred":false,"id":307123,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98974,"text":"fs20103112 - 2010 - Forecasting the effects of land-use and climate change on wildlife communities and habitats in the lower Mississippi Valley","interactions":[],"lastModifiedDate":"2024-03-05T12:09:37.315699","indexId":"fs20103112","displayToPublicDate":"2010-12-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3112","title":"Forecasting the effects of land-use and climate change on wildlife communities and habitats in the lower Mississippi Valley","docAbstract":"Landscape patterns and processes reflect both natural ecosystem attributes and the policy and management decisions of individual Federal, State, county, and private organizations. Land-use regulation, water management, and habitat conservation and restoration efforts increasingly rely on landscape-level approaches that incorporate scientific information into the decision-making process. Since management actions are implemented to affect future conditions, decision-support models are necessary to forecast potential future conditions resulting from these decisions. Spatially explicit modeling approaches enable testing of different scenarios and help evaluate potential outcomes of management actions in conjunction with natural processes such as climate change. The ability to forecast the effects of changing land use and climate is critically important to land and resource managers since their work is inherently site specific, yet conservation strategies and practices are expressed at higher spatial and temporal scales that must be considered in the decisionmaking process.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103112","usgsCitation":"Faulkner, S.P., 2010, Forecasting the effects of land-use and climate change on wildlife communities and habitats in the lower Mississippi Valley (-=): U.S. Geological Survey Fact Sheet 2010-3112, 6 p., https://doi.org/10.3133/fs20103112.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":126058,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3112.bmp"},{"id":14407,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3112/","linkFileType":{"id":5,"text":"html"}}],"edition":"-=","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e492ae4b07f02db57d1aa","contributors":{"authors":[{"text":"Faulkner, Stephen P. 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":374,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":307124,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044753,"text":"70044753 - 2010 - Two mechanisms of aquatic and terrestrial habitat change along an Alaskan Arctic coastline","interactions":[],"lastModifiedDate":"2013-03-29T15:06:20","indexId":"70044753","displayToPublicDate":"2010-12-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Two mechanisms of aquatic and terrestrial habitat change along an Alaskan Arctic coastline","docAbstract":"Arctic habitats at the interface between land and sea are particularly vulnerable to climate change. The northern Teshekpuk Lake Special Area (N-TLSA), a coastal plain ecosystem along the Beaufort Sea in northern Alaska, provides habitat for migratory waterbirds, caribou, and potentially, denning polar bears. The 60-km coastline of N-TLSA is experiencing increasing rates of coastline erosion and storm surge flooding far inland resulting in lake drainage and conversion of freshwater lakes to estuaries. These physical mechanisms are affecting upland tundra as well. To better understand how these processes are affecting habitat, we analyzed long-term observational records coupled with recent short-term monitoring. Nearly the entire coastline has accelerating rates of erosion ranging from 6 m/year from 1955 to 1979 and most recently peaking at 17 m/year from 2007 to 2009, yet an intensive monitoring site along a higher bluff (3–6 masl) suggested high interannual variability. The frequency and magnitude of storm events appears to be increasing along this coastline and these patterns correspond to a greater number of lake tapping and flooding events since 2000. For the entire N-TLSA, we estimate that 6% of the landscape consists of salt-burned tundra, while 41% is prone to storm surge flooding. This offset may indicate the relative frequency of low-magnitude flood events along the coastal fringe. Monitoring of coastline lakes confirms that moderate westerly storms create extensive flooding, while easterly storms have negligible effects on lakes and low-lying tundra. This study of two interacting physical mechanisms, coastal erosion and storm surge flooding, provides an important example of the complexities and data needs for predicting habitat change and biological responses along Arctic land–ocean interfaces.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Polar Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00300-010-0800-5","usgsCitation":"Arp, C.D., Jones, B.M., Schmutz, J.A., Urban, F., and Jorgenson, M., 2010, Two mechanisms of aquatic and terrestrial habitat change along an Alaskan Arctic coastline: Polar Biology, v. 33, no. 12, p. 1629-1640, https://doi.org/10.1007/s00300-010-0800-5.","productDescription":"12 p.","startPage":"1629","endPage":"1640","numberOfPages":"12","ipdsId":"IP-020828","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":475631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00300-010-0800-5","text":"Publisher Index Page"},{"id":270397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270396,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00300-010-0800-5"}],"country":"United States","state":"Alaska","otherGeospatial":"Northern Teshekpuk Lake Special Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.015,0.0016666666666666668 ], [ -0.015,0.0019444444444444444 ], [ -0.015555555555555555,0.0019444444444444444 ], [ -0.015555555555555555,0.0016666666666666668 ], [ -0.015,0.0016666666666666668 ] ] ] } } ] }","volume":"33","issue":"12","noUsgsAuthors":false,"publicationDate":"2010-04-27","publicationStatus":"PW","scienceBaseUri":"5156b7eee4b06ea905cdc043","contributors":{"authors":[{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":476283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":476282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":476281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Urban, Frank E. 0000-0002-1329-1703","orcid":"https://orcid.org/0000-0002-1329-1703","contributorId":80918,"corporation":false,"usgs":true,"family":"Urban","given":"Frank E.","affiliations":[],"preferred":false,"id":476285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jorgenson, M. Torre","contributorId":40486,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":476284,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":9000523,"text":"ofr20101304 - 2010 - Reducing Uncertainty in the Distribution of Hydrogeologic Units within Volcanic Composite Units of Pahute Mesa Using High-Resolution 3-D Resistivity Methods, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20101304","displayToPublicDate":"2010-12-28T00:00:00","publicationYear":"2010","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":"2010-1304","title":"Reducing Uncertainty in the Distribution of Hydrogeologic Units within Volcanic Composite Units of Pahute Mesa Using High-Resolution 3-D Resistivity Methods, Nevada Test Site, Nevada","docAbstract":"The U.S. Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) at their Nevada Site Office (NSO) are addressing groundwater contamination resulting from historical underground nuclear testing through the Environmental Management program and, in particular, the Underground Test Area (UGTA) project. From 1951 to 1992, 828 underground nuclear tests were conducted at the Nevada Test Site (NTS) northwest of Las Vegas (DOE UGTA, 2003). Most of these tests were conducted hundreds of feet above the groundwater table; however, more than 200 of the tests were near, or within, the water table. This underground testing was limited to specific areas of the NTS including Pahute Mesa, Rainier Mesa/Shoshone Mountain, Frenchman Flat, and Yucca Flat. Volcanic composite units make up much of the area within the Pahute Mesa Corrective Action Unit (CAU) at the NTS, Nevada. The extent of many of these volcanic composite units extends throughout and south of the primary areas of past underground testing at Pahute and Rainier Mesas. As situated, these units likely influence the rate and direction of groundwater flow and radionuclide transport. Currently, these units are poorly resolved in terms of their hydrologic properties introducing large uncertainties into current CAU-scale flow and transport models. In 2007, the U.S. Geological Survey (USGS), in cooperation with DOE and NNSA-NSO acquired three-dimensional (3-D) tensor magnetotelluric data at the NTS in Area 20 of Pahute Mesa CAU. A total of 20 magnetotelluric recording stations were established at about 600-m spacing on a 3-D array and were tied to ER20-6 well and other nearby well control (fig. 1). The purpose of this survey was to determine if closely spaced 3-D resistivity measurements can be used to characterize the distribution of shallow (600- to 1,500-m-depth range) devitrified rhyolite lava-flow aquifers (LFA) and zeolitic tuff confining units (TCU) in areas of limited drill hole control on Pahute Mesa within the Calico Hills zeolitic volcanic composite unit (VCU), an important hydrostratigraphic unit in Area 20. The resistivity response was evaluated and compared with existing well data and hydrogeologic unit tops from the current Pahute Mesa framework model. In 2008, the USGS processed and inverted the magnetotelluric data into a 3-D resistivity model. We interpreted nine depth slices and four west-east profile cross sections of the 3-D resistivity inversion model. This report documents the geologic interpretation of the 3-D resistivity model. Expectations are that spatial variations in the electrical properties of the Calico Hills zeolitic VCU can be detected and mapped with 3-D resistivity, and that these changes correlate to differences in rock permeability. With regard to LFA and TCU, electrical resistivity and permeability are typically related. Tuff confining units will typically have low electrical resistivity and low permeability, whereas LFA will have higher electrical resistivity and zones of higher fracture-related permeability. If expectations are shown to be correct, the method can be utilized by the UGTA scientists to refine the hydrostratigraphic unit (HSU) framework in an effort to more accurately predict radionuclide transport away from test areas on Pahute and Rainier Mesas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101304","usgsCitation":"Rodriguez, B.D., Sweetkind, D., and Burton, B., 2010, Reducing Uncertainty in the Distribution of Hydrogeologic Units within Volcanic Composite Units of Pahute Mesa Using High-Resolution 3-D Resistivity Methods, Nevada Test Site, Nevada: U.S. Geological Survey Open-File Report 2010-1304, v, 32 p.; Appendices; Figures; Tables , https://doi.org/10.3133/ofr20101304.","productDescription":"v, 32 p.; Appendices; Figures; Tables ","numberOfPages":"498","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126009,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1304.png"},{"id":19182,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1304/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","country":"United States","state":"Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.45,37.25 ], [ -116.45,37.28333333333333 ], [ -116.4,37.28333333333333 ], [ -116.4,37.25 ], [ -116.45,37.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db63527c","contributors":{"authors":[{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":344202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Don","contributorId":28725,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Don","email":"","affiliations":[],"preferred":false,"id":344204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":344203,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":9000521,"text":"ofr20101309 - 2010 - Improved USGS methodology for assessing continuous petroleum resources using analogs","interactions":[],"lastModifiedDate":"2012-02-02T00:04:48","indexId":"ofr20101309","displayToPublicDate":"2010-12-28T00:00:00","publicationYear":"2010","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":"2010-1309","title":"Improved USGS methodology for assessing continuous petroleum resources using analogs","docAbstract":"The currently used U.S. Geological Survey methodology for assessing continuous (unconventional) petroleum resources of the United States was developed in the 1990s. This methodology poorly incorporates uncertainty about the estimated ultimate recoveries (EURs). This is especially problematic for hypothetical assessment units where this may be the largest source of uncertainty that needs to be reflected in the estimates. An improved methodology estimates the uncertainty of mean EUR directly. It uses analog data that have been compiled from production histories of many developed U.S. continuous assessment units. The analog databases provide a way of estimating the variability of not just EURs but other production parameters useful in assessing continuous resources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101309","usgsCitation":"Charpentier, R., and Cook, T., 2010, Improved USGS methodology for assessing continuous petroleum resources using analogs: U.S. Geological Survey Open-File Report 2010-1309, 27 p., https://doi.org/10.3133/ofr20101309.","productDescription":"27 p.","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":126057,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1309.png"},{"id":14406,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1309/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e8a2","contributors":{"authors":[{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":344196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy","contributorId":6418,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","affiliations":[],"preferred":false,"id":344197,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":9000522,"text":"ofr20101280 - 2010 - CO2calc: A User-Friendly Seawater Carbon Calculator for Windows, Mac OS X, and iOS (iPhone)","interactions":[],"lastModifiedDate":"2012-02-02T00:05:35","indexId":"ofr20101280","displayToPublicDate":"2010-12-28T00:00:00","publicationYear":"2010","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":"2010-1280","title":"CO2calc: A User-Friendly Seawater Carbon Calculator for Windows, Mac OS X, and iOS (iPhone)","docAbstract":"A user-friendly, stand-alone application for the calculation of carbonate system parameters was developed by the U.S. Geological Survey Florida Shelf Ecosystems Response to Climate Change Project in response to its Ocean Acidification Task. The application, by Mark Hansen and Lisa Robbins, USGS St. Petersburg, FL, Joanie Kleypas, NCAR, Boulder, CO, and Stephan Meylan, Jacobs Technology, St. Petersburg, FL, is intended as a follow-on to CO2SYS, originally developed by Lewis and Wallace (1998) and later modified for Microsoft Excel? by Denis Pierrot (Pierrot and others, 2006). Besides eliminating the need for using Microsoft Excel on the host system, CO2calc offers several improvements on CO2SYS, including: An improved graphical user interface for data entry and results Additional calculations of air-sea CO2 fluxes (for surface water calculations) The ability to tag data with sample name, comments, date, time, and latitude/longitude The ability to use the system time and date and latitude/ longitude (automatic retrieval of latitude and longitude available on iPhone? 3, 3GS, 4, and Windows? hosts with an attached National Marine Electronics Association (NMEA)-enabled GPS) The ability to process multiple files in a batch processing mode An option to save sample information, data input, and calculated results as a comma-separated value (CSV) file for use with Microsoft Excel, ArcGIS,? or other applications An option to export points with geographic coordinates as a KMZ file for viewing and editing in Google EarthTM","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101280","collaboration":"Florida Shelf Ecosystems Response to Climate Change Project\r\n","usgsCitation":"Robbins, L.L., Hansen, M.E., Kleypas, J., and Meylan, S., 2010, CO2calc: A User-Friendly Seawater Carbon Calculator for Windows, Mac OS X, and iOS (iPhone): U.S. Geological Survey Open-File Report 2010-1280, iv, 17 p.; PC zip file; Macintosh disk image file; iTunes link , https://doi.org/10.3133/ofr20101280.","productDescription":"iv, 17 p.; PC zip file; Macintosh disk image file; iTunes link ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":115902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1280.bmp"},{"id":19181,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1280/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9834","contributors":{"authors":[{"text":"Robbins, L. L.","contributorId":71156,"corporation":false,"usgs":true,"family":"Robbins","given":"L.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":344200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, M. E.","contributorId":71157,"corporation":false,"usgs":true,"family":"Hansen","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":344201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kleypas, J.A.","contributorId":13221,"corporation":false,"usgs":true,"family":"Kleypas","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":344198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meylan, S.C.","contributorId":13964,"corporation":false,"usgs":true,"family":"Meylan","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":344199,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98970,"text":"sir20105226 - 2010 - Quantifying canal leakage rates using a mass-balance approach and heat-based hydraulic conductivity estimates in selected irrigation canals, western Nebraska, 2007 through 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105226","displayToPublicDate":"2010-12-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5226","title":"Quantifying canal leakage rates using a mass-balance approach and heat-based hydraulic conductivity estimates in selected irrigation canals, western Nebraska, 2007 through 2009","docAbstract":"The water supply in areas of the North Platte River Basin in the Nebraska Panhandle has been designated as fully appropriated or overappropriated by the Nebraska Department of Natural Resources (NDNR). Enacted legislation (Legislative Bill 962) requires the North Platte Natural Resources District (NPNRD) and the NDNR to develop an Integrated Management Plan (IMP) to balance groundwater and surface-water supply and demand in the NPNRD. A clear understanding of the groundwater and surface-water systems is critical for the development of a successful IMP. The primary source of groundwater recharge in parts of the NPNRD is from irrigation canal leakage. Because canal leakage constitutes a large part of the hydrologic budget, spatially distributing canal leakage to the groundwater system is important to any management strategy. Surface geophysical data collected along selected reaches of irrigation canals has allowed for the spatial distribution of leakage on a relative basis; however, the actual magnitude of leakage remains poorly defined. To address this need, the U.S. Geological Survey, in cooperation with the NPNRD, established streamflow-gaging stations at upstream and downstream ends from two selected canal reaches to allow a mass-balance approach to be used to calculate daily leakage rates. Water-level and sediment temperature data were collected and simulated at three temperature monitoring sites to allow the use of heat as a tracer to estimate the hydraulic conductivity of canal bed sediment. Canal-leakage rates were estimated by applying Darcy's Law to modeled vertical hydraulic conductivity and either the estimated or measured hydraulic gradient. This approach will improve the understanding of the spatial and temporal variability of canal leakage in varying geologic settings identified in capacitively coupled resistivity surveys.\r\n\r\nThe high-leakage potential study reach of the Tri-State Canal had two streamflow-gaging stations and two temperature monitoring sites along its length. Calculated leakage rates from the mass-balance approach varied from year to year and were generally dependent on local climatic conditions, and the timing and magnitude of the initial seasonal diversion into the Tri-State Canal. Leakage rates ranged from 0.98 meter per day (m/d) on June 22, 2007, to about to 0 m/d during July 2009. Drier conditions generally resulted in higher leakage rates because of reduced flow from Spottedtail Creek, lower groundwater levels near Spottedtail Creek, and no unmeasured flow entering the reach. Of the three years studied (2007-09), 2007 was the driest, and therefore had the highest canal leakage rates.\r\n\r\nThe moderately low leakage potential study reach of Interstate Canal had two streamflow-gaging stations and one temperature monitoring site along its length. Excluding the leakage calculations from early May 2007, leakage rates ranged from 0.08 to 0.7 m/d. Less variability in leakage from year to year indicates that climatic conditions may have less of an effect for Interstate Canal compared to Tri-State Canal. This may be because Interstate Canal was cut into the northern edge of the North Platte alluvial valley and consequently the canal bed is well above the local groundwater table resulting in a constant (1 meter per meter [m/m]) hydraulic gradient. Interstate Canal also does not receive any captured flow that can vary substantially year to year.\r\n\r\nTwo temperature monitoring sites were installed within the high-leakage potential reach of Tri-State Canal. Site TCTEMP1 was established in 2007 where the water table was well below the canal bed surface. The vertical hydraulic conductivity of the poorly sorted sand and gravel beneath site TCTEMP1 was estimated using a calibrated one-dimensional VS2DH model. Using a trial-and-error approach, the best-fit vertical hydraulic conductivity for the site TCTEMP1 model domain was 1.1 m/d. Site TCTEMP2 was established at the mouth of Spottedtail Creek where a shallow ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105226","collaboration":"Prepared in cooperation with the North Platte Natural Resources District","usgsCitation":"Hobza, C.M., and Andersen, M.J., 2010, Quantifying canal leakage rates using a mass-balance approach and heat-based hydraulic conductivity estimates in selected irrigation canals, western Nebraska, 2007 through 2009: U.S. Geological Survey Scientific Investigations Report 2010-5226, viii, 38 p.; Appendix, https://doi.org/10.3133/sir20105226.","productDescription":"viii, 38 p.; Appendix","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":126008,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5226.jpg"},{"id":14402,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5226/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.25,41.25 ], [ -104.25,42.25 ], [ -102.5,42.25 ], [ -102.5,41.25 ], [ -104.25,41.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a86e4b07f02db64db68","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Michael J. 0009-0006-5600-6032 mjanders@usgs.gov","orcid":"https://orcid.org/0009-0006-5600-6032","contributorId":1442,"corporation":false,"usgs":true,"family":"Andersen","given":"Michael","email":"mjanders@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307115,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98971,"text":"ofr20101271 - 2010 - Bird migration patterns in the arid southwest-Final report","interactions":[],"lastModifiedDate":"2012-02-02T00:05:25","indexId":"ofr20101271","displayToPublicDate":"2010-12-23T00:00:00","publicationYear":"2010","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":"2010-1271","title":"Bird migration patterns in the arid southwest-Final report","docAbstract":"To ensure full life-cycle conservation, we need to understand migrant behavior en route and how migrating species use stopover and migration aerohabitats. In the Southwest, birds traverse arid and mountainous landscapes in migration. Migrants are known to use riparian stopover habitats; we know less about how migrant density varies across the Southwest seasonally and annually, and how migrants use other habitat types during migratory stopover. Furthermore, we lack information about migrant flight altitudes, speeds, and directions of travel, and how these patterns vary seasonally and annually across the Southwest.\r\n\r\nUsing weather surveillance radar data, we identified targets likely dominated by nocturnally migrating birds and determined their flight altitudes, speeds, directions over ground, and variations in abundance. Migrating or foraging bats likely are present across the region in some of these data, particularly in central Texas. We found that migrants flew at significantly lower altitudes and significantly higher speeds in spring than in fall. In all seasons migrants maintained seasonally appropriate directions of movement. We detected significant differences in vertical structure of migrant densities that varied both geographically within seasons and seasonally within sites. We also found that in fall there was a greater and more variable passage of migrants through the central part of the borderlands (New Mexico and west Texas); in spring there was some suggestion of greater and more variable passage of migrants in the eastern borderlands (central and south Texas). Such patterns are consistent with the existence of at least two migration systems through western North America and the use of different migration routes in spring and fall for at least some species.\r\n\r\nUsing radar data and satellite land cover data, we determined the habitats with which migrants are associated during migration stopover. There were significant differences in bird densities among habitat types at all sites in at least one season. Upland forest habitat in parts of Arizona and New Mexico supported high migrant densities, especially in fall. Developed habitats in areas with little upland forest habitat also supported high migrant densities. Scrub/shrub and grassland habitats supported low to intermediate migrant densities, but because these habitat types dominate the region, they may support large numbers of migratory birds. This may be especially true for species that do not use forested habitats during migration.\r\n\r\nTarget identity remains a challenge for radar-based studies. Presence of bats in the data complicates interpretation of some observations, particularly from central Texas. Based on our results it is simplistic to: (1) consider the arid west as a largely inhospitable landscape in which there are only relatively small oases of habitat that provide the resources needed by all migrants; (2) think of western riparian and upland forest habitat as supporting the majority of migrants in all cases; or (3) consider a particular habitat type unimportant migrant stopover habitat based solely on migrant densities. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101271","collaboration":"In cooperation with University of Southern Mississippi, U.S Fish and Wildlife Service, Sonoran Joint Venture, and Lannan Foundation","usgsCitation":"Ruth, J.M., Felix, R.K., and Dieh, R.H., 2010, Bird migration patterns in the arid southwest-Final report: U.S. Geological Survey Open-File Report 2010-1271, vi, 51 p., https://doi.org/10.3133/ofr20101271.","productDescription":"vi, 51 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":126735,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1271.png"},{"id":14403,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1271/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af2e4b07f02db691952","contributors":{"authors":[{"text":"Ruth, Janet M. 0000-0003-1576-5957 janet_ruth@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-5957","contributorId":1408,"corporation":false,"usgs":true,"family":"Ruth","given":"Janet","email":"janet_ruth@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":307117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felix, Rodney K.","contributorId":22753,"corporation":false,"usgs":true,"family":"Felix","given":"Rodney","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":307118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dieh, Robert H.","contributorId":50130,"corporation":false,"usgs":true,"family":"Dieh","given":"Robert","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":307119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98969,"text":"sim3138 - 2010 - Water-level altitudes 2010 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973-2009 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","interactions":[],"lastModifiedDate":"2017-03-29T16:53:29","indexId":"sim3138","displayToPublicDate":"2010-12-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3138","title":"Water-level altitudes 2010 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973-2009 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","docAbstract":"Most of the subsidence in the Houston-Galveston region has occurred as a direct result of groundwater withdrawals for municipal supply, industrial use, and irrigation that depressured and dewatered the Chicot and Evangeline aquifers causing compaction of the clay layers of the aquifer sediments. This report, prepared by the U.S. Geological Survey, in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, and Lone Star Groundwater Conservation District, is one in an annual series of reports depicting water-level altitudes and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction in the Chicot and Evangeline aquifers in the Houston-Galveston region. The report contains maps showing 2010 water-level altitudes for the Chicot, Evangeline, and Jasper aquifers, respectively; maps showing 1-year (2009-10) water-level-altitude changes for each aquifer; maps showing 5-year (2005-10) water-level-altitude changes for each aquifer; maps showing long-term (1990-2010 and 1977-2010) water-level-altitude changes for the Chicot and Evangeline aquifers; a map showing long-term (2000-10) water-level-altitude change for the Jasper aquifer; a map showing locations of borehole extensometer sites; and graphs showing measured compaction of subsurface material at the extensometers from 1973, or later, through 2009. Tables listing the data used to construct each aquifer-data map and the compaction graphs are included. Water levels in the Chicot, Evangeline, and Jasper aquifers were measured during December 2009-March 2010. In 2010, water-level-altitude contours for the Chicot aquifer ranged from 200 feet below National Geodetic Vertical Datum of 1929 or North American Vertical Datum of 1988 (hereinafter, datum) in a small area in southwestern Harris County to 200 feet above datum in central to southwestern Montgomery County. Water-level-altitude changes in the Chicot aquifer ranged from a 49-foot decline to a 67-foot rise (2009-10), from a 25-foot decline to a 35-foot rise (2005-10), from a 40-foot decline to an 80-foot rise (1990-2010), and from a 140-foot decline to a 200-foot rise (1977-2010). In 2010, water-level-altitude contours for the Evangeline aquifer ranged from 300 feet below datum in north-central Harris County to 200 feet above datum at the boundary of Waller, Montgomery, and Grimes Counties. Water-level-altitude changes in the Evangeline aquifer ranged from a 58-foot decline to a 69-foot rise (2009-10), from an 80-foot decline to an 80-foot rise (2005-10), from a 200-foot decline to a 220-foot rise (1990-2010), and from a 320-foot decline to a 220-foot rise (1977-2010). In 2010, water-level-altitude contours for the Jasper aquifer ranged from 200 feet below datum in south-central Montgomery County to 250 feet above datum in eastern-central Grimes County. Water-level-altitude changes in the Jasper aquifer ranged from a 39-foot decline to a 39-foot rise (2009-10), from a 110-foot decline to no change (2005-10), and from a 180-foot decline to no change (2000-10). Compaction of subsurface materials (mostly in the clay layers) composing the Chicot and Evangeline aquifers was recorded continuously at 13 borehole extensometers at 11 sites. For the period of record beginning in 1973, or later, and ending in December 2009, cumulative clay compaction data measured by 12 extensometers ranged from 0.088 foot at the Texas City-Moses Lake site to 3.559 foot at the Addicks site. The rate of compaction varies from site to site because of differences in groundwater withdrawals near each site and differences among sites in the clay-to-sand ratio in the subsurface materials. Therefore, it is not possible to extrapolate or infer a rate of clay compaction for an area based on the rate of compaction measured at a nearby extensometer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sim3138","collaboration":"In cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, and Lone Star Groundwater Conservation District","usgsCitation":"Kasmarek, M.C., Johnson, M., and Ramage, J.K., 2010, Water-level altitudes 2010 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973-2009 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas: U.S. Geological Survey Scientific Investigations Map 3138, vii, 17 p.; Downloads: Sheet 1: 17 inches x 22 inches; Sheet 2: 17 inches x 22 inches; Sheet 3: 17 inches x 22 inches; Sheet 4: 17 inches x 22 inches; Sheet 5: 17 inches x 22 inches; Sheet 6: 17 inches x 22 inches; Sheet 7: 17 inches x 22 inches; Sheet 8: 17 inches x 22 inches; Sheet 9: 17 inches x 22 inches; Sheet 10: 17 inches x 22 inches; Sheet 11: 17 inches x 22 inches; Sheet 12: 17 inches x 22 inches; Sheet 13: 17 inches x 22 inches; Sheet 14: 17 inches x 22 inches; Sheet 15: 17 inches x 22 inches; Sheet 16: 22.01 inches x 17 inches; Appendices; Tables, https://doi.org/10.3133/sim3138.","productDescription":"vii, 17 p.; Downloads: Sheet 1: 17 inches x 22 inches; Sheet 2: 17 inches x 22 inches; Sheet 3: 17 inches x 22 inches; Sheet 4: 17 inches x 22 inches; Sheet 5: 17 inches x 22 inches; Sheet 6: 17 inches x 22 inches; Sheet 7: 17 inches x 22 inches; Sheet 8: 17 inches x 22 inches; Sheet 9: 17 inches x 22 inches; Sheet 10: 17 inches x 22 inches; Sheet 11: 17 inches x 22 inches; Sheet 12: 17 inches x 22 inches; Sheet 13: 17 inches x 22 inches; Sheet 14: 17 inches x 22 inches; Sheet 15: 17 inches x 22 inches; Sheet 16: 22.01 inches x 17 inches; Appendices; Tables","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1973-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":126006,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3138.png"},{"id":14400,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3138/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","country":"United States","state":"Texas","otherGeospatial":"Houston-Galveston region study area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.3505859375,\n 29.554345125748267\n ],\n [\n -94.52636718749999,\n 30.031055426540206\n ],\n [\n -94.7021484375,\n 30.29701788337205\n ],\n [\n -94.976806640625,\n 30.675715404167743\n ],\n [\n -95.07568359375,\n 30.829139422013956\n ],\n [\n -95.25970458984374,\n 30.954057859276126\n ],\n [\n -95.614013671875,\n 30.95876857077987\n ],\n [\n -96.064453125,\n 30.798474179567823\n ],\n [\n -96.2841796875,\n 30.64027517241868\n ],\n [\n -96.3446044921875,\n 30.462879341709886\n ],\n [\n -96.2237548828125,\n 30.073847754270204\n ],\n [\n -96.03149414062499,\n 29.410890376109\n ],\n [\n -95.82275390625,\n 29.080175989623203\n ],\n [\n -95.6304931640625,\n 28.9072060763367\n ],\n [\n -95.3558349609375,\n 28.8831596093235\n ],\n [\n -94.7515869140625,\n 29.291189838184863\n ],\n [\n -94.3505859375,\n 29.554345125748267\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cee4b07f02db5454e8","contributors":{"authors":[{"text":"Kasmarek, Mark C. 0000-0003-2808-2506 mckasmar@usgs.gov","orcid":"https://orcid.org/0000-0003-2808-2506","contributorId":1968,"corporation":false,"usgs":true,"family":"Kasmarek","given":"Mark","email":"mckasmar@usgs.gov","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307114,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98968,"text":"ofr20101290 - 2010 - Reconnaissance of Macondo-1 well oil in sediment and tarballs from the northern Gulf of Mexico shoreline, Texas to Florida","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ofr20101290","displayToPublicDate":"2010-12-23T00:00:00","publicationYear":"2010","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":"2010-1290","title":"Reconnaissance of Macondo-1 well oil in sediment and tarballs from the northern Gulf of Mexico shoreline, Texas to Florida","docAbstract":"Hydrocarbons were extracted and analyzed from sediment and tarballs collected from the northern Gulf of Mexico (nGOM) coast that is potentially impacted by Macondo-1 (M-1) well oil. The samples were analyzed for a suite of diagnostic geochemical biomarkers. Aided by multivariate statistical analysis, the M-1 well oil has been identified in sediment and tarballs collected from Louisiana, Alabama, Mississippi, and Florida. None of the sediment hydrocarbon extracts from Texas correlated with the M-1 well oil. Oil-impacted sediments are confined to the shoreline adjacent to the cumulative oil slick of the Deepwater Horizon oil spill, and no impact was observed outside of this area. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101290","collaboration":"A Preliminary Report to the U.S. Coast Guard","usgsCitation":"Rosenbauer, R.J., Campbell, P.L., Lam, A., Lorenson, T., Hostettler, F.D., Thomas, B., and Wong, F.L., 2010, Reconnaissance of Macondo-1 well oil in sediment and tarballs from the northern Gulf of Mexico shoreline, Texas to Florida: U.S. Geological Survey Open-File Report 2010-1290, iii, 7 p.; Figures; Tables; Appendices , https://doi.org/10.3133/ofr20101290.","productDescription":"iii, 7 p.; Figures; Tables; Appendices ","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126005,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1290.bmp"},{"id":14399,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1290/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,27 ], [ -96,31 ], [ -82,31 ], [ -82,27 ], [ -96,27 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6ce4b07f02db63e836","contributors":{"authors":[{"text":"Rosenbauer, Robert J. brosenbauer@usgs.gov","contributorId":204,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"Robert","email":"brosenbauer@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":307105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Pamela L.","contributorId":76719,"corporation":false,"usgs":true,"family":"Campbell","given":"Pamela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":307110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lam, Angela","contributorId":37312,"corporation":false,"usgs":true,"family":"Lam","given":"Angela","email":"","affiliations":[],"preferred":false,"id":307109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorenson, T.D. tlorenson@usgs.gov","contributorId":2622,"corporation":false,"usgs":true,"family":"Lorenson","given":"T.D.","email":"tlorenson@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":307107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hostettler, Frances D. fdhostet@usgs.gov","contributorId":3383,"corporation":false,"usgs":true,"family":"Hostettler","given":"Frances","email":"fdhostet@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":307108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Burt","contributorId":95454,"corporation":false,"usgs":true,"family":"Thomas","given":"Burt","affiliations":[],"preferred":false,"id":307111,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":307106,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70006214,"text":"70006214 - 2010 - Baseline survey for rare plant species and native plant communities within the Kamehameha Schools 'Lupea Safe Harbor Planning Project Area, North Kona District, Island of Hawai'i","interactions":[],"lastModifiedDate":"2018-01-05T13:24:28","indexId":"70006214","displayToPublicDate":"2010-12-22T14:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-020","title":"Baseline survey for rare plant species and native plant communities within the Kamehameha Schools 'Lupea Safe Harbor Planning Project Area, North Kona District, Island of Hawai'i","docAbstract":"Kamehameha Schools, in conjunction with several federal, state, and private organizations, has proposed to conduct conservation management on approximately 5,340 ha (~13,200 acres) of land they own in the vicinity of Kīpukalupea in the North Kona District on the island of Hawai'i. The goal of this program is to restore and enhance the habitat to benefit native plant and animal populations that are currently, or were formerly, found in this site. The initial phase of this project has been focused on various activities including conducting baseline surveys for bird and plant species so Kamehameha Schools could develop a Safe Harbor Agreement (SHA) for the proposed project lands relative to the habitat management and species reintroduction efforts they would like to conduct in the Lupea Project area. This report summarizes methods that were used to collect field data on plant species and communities within the project area, and the results of that initial survey. The information was used to calculate baseline values for all listed threatened or endangered plant species found, or expected to be found, within the project area, and to design a monitoring program to assess changes in plant communities and rare plant species relative to management activities over the duration of the SHA.
\nThe Lupea Project area contains excellent examples of several high elevation native plant communities including montane dry forest and woodland, native subalpine shrubland, and native grassland. Between November 2003 and January 2004 we sampled plant communities and species along seven transects established through the project area. A total of 109 plant species were found during this survey, within the transect grid and in nearby areas. Forty-four of these plants are endemic species, 21 are indigenous species, 43 are introduced, and one species is believed to have been introduced to Hawai„i by early Polynesian settlers. Only one federally listed Endangered plant, Asplenium peruvianum var. insulare, was found within the survey area. Additionally, we found one immature plant that may be Sicyos macrophyllus, a candidate species for listing. However, we were not able to make a definite determination of this species‟ identity since it did not have fruits or flowers. Finally, we documented four plant species within the survey area that have no official status designation but are considered to be rare and informally recognized as “species of concern” (SOC) as they appear to be declining in distribution and abundance statewide. These included Chamaesyce olowaluana, Eragrostis deflexa, Sisyrinchium acre, and Tetramolopium consanguineum. In addition to conducting field surveys, we performed a query on a spatial database developed by Dr. Jonathan Price of the University of Hawai„i at Hilo which models the potential range of all native Hawaiian plant species based on historic observations and a set of environmental parameters. The potential species list for the Lupea Project area includes 47 taxa that we did not find during our surveys, as well as three other listed species that were not modeled by Price, but known from historic records in adjacent habitats. Some of these species are extremely rare or, in some cases have been locally extirpated. However, most of the plants that were predicted but not found during our surveys are expected to be located with additional searching, or may potentially recolonize the area following the elimination of ungulates and initiation of other restoration efforts. Forty-four introduced plant species were found within the survey area, seven of which are considered to be highly invasive. These include the grasses Pennisetum clandestinum and Pennisetum setaceum, vines Delairea odorata and Passiflora tarminiana, herbs Senecio madagascariensis and Verbascum thapsus, and the shrub Rubus niveus.
\nNon-zero baseline values are proposed for the one listed plant species found within the Lupea Project area, one species that is a candidate for listing, and the four other rare species we found that may be considered for listing in the future. Additionally, a zero baseline is proposed for 23 other species that were predicted, but not found within the project area. These include 14 Endangered species, one Threatened species, two candidates for listing, and six species of concern. Subsequent monitoring of the site will be necessary to determine if the populations of these species have increased or decreased relative to their baseline values. It is presumed that the management activities Kamehameha Schools has proposed for this area, particularly removal of the ungulates and weed control, will provide a benefit to the habitat as a whole and allow for natural regeneration and maintenance of the all elements of the plant communities found there.
","language":"English","publisher":"University of Hawaii at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Jacobi, J., Warshauer, F., and Price, J., 2010, Baseline survey for rare plant species and native plant communities within the Kamehameha Schools 'Lupea Safe Harbor Planning Project Area, North Kona District, Island of Hawai'i: Technical Report HCSU-020, viii, 63 p.","productDescription":"viii, 63 p.","numberOfPages":"73","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025137","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a5b8b5e4b0ebae89b7885e","contributors":{"authors":[{"text":"Jacobi, James","contributorId":21073,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","affiliations":[],"preferred":false,"id":644870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warshauer, F. R.","contributorId":119206,"corporation":false,"usgs":true,"family":"Warshauer","given":"F. R.","affiliations":[],"preferred":false,"id":513535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Price, Jonathan","contributorId":118441,"corporation":false,"usgs":true,"family":"Price","given":"Jonathan","affiliations":[],"preferred":false,"id":513533,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98967,"text":"ofr20101275 - 2010 - Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ofr20101275","displayToPublicDate":"2010-12-22T00:00:00","publicationYear":"2010","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":"2010-1275","title":"Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2009","docAbstract":"Streamflow and water-quality data were collected by the U.S. Geological Survey (USGS) or the Providence Water Supply Board (PWSB), Rhode Island's largest drinking-water supplier. Streamflow was measured or estimated by the USGS following standard methods at 23 streamgage stations; 13 of these stations were also equipped with instrumentation capable of continuously monitoring specific conductance and water temperature. Streamflow and concentrations of sodium and chloride estimated from records of specific conductance were used to calculate loads of sodium and chloride during water year (WY) 2009 (October 1, 2008, to September 30, 2009). Water-quality samples also were collected at 37 sampling stations by the PWSB and at 14 monitoring stations by the USGS during WY 2009 as part of a long-term sampling program; all stations are in the Scituate Reservoir drainage area. Water-quality data collected by PWSB are summarized by using values of central tendency and are used, in combination with measured (or estimated) streamflows, to calculate loads and yields (loads per unit area) of selected water-quality constituents for WY 2009.\r\n\r\nThe largest tributary to the reservoir (the Ponaganset River, which was monitored by the USGS) contributed a mean streamflow of about 27 cubic feet per second (ft3/s) to the reservoir during WY 2009. For the same time period, annual mean1 streamflows measured (or estimated) for the other monitoring stations in this study ranged from about 0.50 to 17 ft3/s. Together, tributary streams (equipped with instrumentation capable of continuously monitoring specific conductance) transported about 1,400,000 kilograms (kg) of sodium and 2,200,000 kg of chloride to the Scituate Reservoir during WY 2009; sodium and chloride yields for the tributaries ranged from 10,000 to 64,000 kilograms per square mile (kg/mi2) and from 15,000 to 110,000 kg/mi2, respectively.\r\n\r\nAt the stations where water-quality samples were collected by the PWSB, the median of the median chloride concentrations was 21.7 milligrams per liter (mg/L), median nitrite concentration was 0.001 mg/L as N, median nitrate concentration was 0.02 mg/L as N, median orthophosphate concentration was 0.09 mg/L as P, and median concentrations of total coliform and Escherichia coli (E. coli) bacteria were 61 and 16 colony forming units per 100 milliliters (CFU/100 mL), respectively. The medians of the median daily loads (and yields) of chloride, nitrite, nitrate, orthophosphate, and total coliform and E. coli bacteria were 190 kg/d (61 kg/d/mi2), 12 g/d (4.5 g/d/mi2), 93 g/d (32 g/d/mi2), 420 g/d (290 g/d/mi2), 6,200 million colony forming units per day (CFU?106/d) (2,600 CFU?106/d/mi2), and 1,100 CFU?106/d (340 CFU?106/d/mi2), respectively.\r\n\r\n 1The arithmetic mean of the individual daily mean discharges for the year noted or for the designated period. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101275","collaboration":"Prepared in cooperation with the Providence Water Supply Board \r\n","usgsCitation":"Breault, R., and Smith, K.P., 2010, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2009: U.S. Geological Survey Open-File Report 2010-1275, iv, 24 p. , https://doi.org/10.3133/ofr20101275.","productDescription":"iv, 24 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-10-01","temporalEnd":"2009-09-30","costCenters":[{"id":544,"text":"Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":116277,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1275.bmp"},{"id":14398,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1275/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.83333333333333,41.666666666666664 ], [ -71.83333333333333,41.916666666666664 ], [ -71.5,41.916666666666664 ], [ -71.5,41.666666666666664 ], [ -71.83333333333333,41.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4bd0","contributors":{"authors":[{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":2219,"corporation":false,"usgs":true,"family":"Breault","given":"Robert F.","email":"rbreault@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307103,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98965,"text":"ofr20101273 - 2010 - Vegetation and substrate on aeolian landscapes in the Colorado River corridor, Cataract Canyon, Utah","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101273","displayToPublicDate":"2010-12-22T00:00:00","publicationYear":"2010","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":"2010-1273","title":"Vegetation and substrate on aeolian landscapes in the Colorado River corridor, Cataract Canyon, Utah","docAbstract":"Vegetation and substrate data presented in this report characterize ground cover on aeolian landscapes of the Colorado River corridor through Cataract Canyon, Utah, in Canyonlands National Park. The 27-km-long Cataract Canyon reach has undergone less anthropogenic alteration than other reaches of the mainstem Colorado River. Characterizing ecosystem parameters there provides a basis against which to evaluate future changes, such as those that could result from the further spread of nonnative plant species or increased visitor use. Upstream dams have less effect on the hydrology and sediment supply in Cataract Canyon compared with downstream reaches in Grand Canyon National Park. For this reason, comparison of these vegetation and substrate measurements with similar data from aeolian landscapes of Grand Canyon will help to resolve the effects of Glen Canyon Dam operations on the Colorado River corridor ecosystem. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101273","usgsCitation":"Draut, A.E., and Gillette, E.R., 2010, Vegetation and substrate on aeolian landscapes in the Colorado River corridor, Cataract Canyon, Utah: U.S. Geological Survey Open-File Report 2010-1273, iv, 21 p.; Tables; Downloads: Spreadsheet of Tables 1-14, https://doi.org/10.3133/ofr20101273.","productDescription":"iv, 21 p.; Tables; Downloads: Spreadsheet of Tables 1-14","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126152,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1273.gif"},{"id":14396,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1273/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.16666666666667,37.833333333333336 ], [ -110.16666666666667,38.25 ], [ -109.83333333333333,38.25 ], [ -109.83333333333333,37.833333333333336 ], [ -110.16666666666667,37.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602678","contributors":{"authors":[{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":307100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillette, Elizabeth R.","contributorId":71519,"corporation":false,"usgs":true,"family":"Gillette","given":"Elizabeth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":307099,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98966,"text":"ofr20101247 - 2010 - Internet-based interface for STRMDEPL08","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ofr20101247","displayToPublicDate":"2010-12-22T00:00:00","publicationYear":"2010","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":"2010-1247","title":"Internet-based interface for STRMDEPL08","docAbstract":"The core of the computer program STRMDEPL08 that estimates streamflow depletion by a pumping well with one of four analytical solutions was re-written in the Javascript software language and made available through an internet-based interface (web page). In the internet-based interface, the user enters data for one of the four analytical solutions, Glover and Balmer (1954), Hantush (1965), Hunt (1999), and Hunt (2003), and the solution is run for constant pumping for a desired number of simulation days. Results are returned in tabular form to the user. For intermittent pumping, the interface allows the user to request that the header information for an input file for the stand-alone executable STRMDEPL08 be created. The user would add the pumping information to this header information and run the STRMDEPL08 executable that is available for download through the U.S. Geological Survey. Results for the internet-based and stand-alone versions of STRMDEPL08 are shown to match.\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101247","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency\r\n","usgsCitation":"Reeves, H.W., and Asher, A., 2010, Internet-based interface for STRMDEPL08: U.S. Geological Survey Open-File Report 2010-1247, iv, 7 p.; Appendix, https://doi.org/10.3133/ofr20101247.","productDescription":"iv, 7 p.; Appendix","additionalOnlineFiles":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":126151,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1247.gif"},{"id":14397,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1247/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dbe4b07f02db5e0799","contributors":{"authors":[{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asher, A. Jeremiah","contributorId":34098,"corporation":false,"usgs":true,"family":"Asher","given":"A. Jeremiah","affiliations":[],"preferred":false,"id":307102,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98964,"text":"ofr20101283 - 2010 - Development of monitoring protocols to detect change in rocky intertidal communities of Glacier Bay National Park and Preserve","interactions":[],"lastModifiedDate":"2012-02-02T00:04:46","indexId":"ofr20101283","displayToPublicDate":"2010-12-22T00:00:00","publicationYear":"2010","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":"2010-1283","title":"Development of monitoring protocols to detect change in rocky intertidal communities of Glacier Bay National Park and Preserve","docAbstract":"Glacier Bay National Park and Preserve in southeastern Alaska includes extensive coastlines representing a major proportion of all coastlines held by the National Park Service. The marine plants and invertebrates that occupy intertidal shores form highly productive communities that are ecologically important to a number of vertebrate and invertebrate consumers and that are vulnerable to human disturbances. To better understand these communities and their sensitivity, it is important to obtain information on species abundances over space and time. During field studies from 1997 to 2001, I investigated probability-based rocky intertidal monitoring designs that allow inference of results to similar habitat within the bay and that reduce bias. Aerial surveys of a subset of intertidal habitat indicated that the original target habitat of bedrock-dominated sites with slope less than or equal to 30 degrees was rare. This finding illustrated the value of probability-based surveys and led to a shift in the target habitat type to more mixed rocky habitat with steeper slopes. Subsequently, I investigated different sampling methods and strategies for their relative power to detect changes in the abundances of the predominant sessile intertidal taxa: barnacles -Balanomorpha, the mussel Mytilus trossulus and the rockweed Fucus distichus subsp. evanescens. I found that lower-intensity sampling of 25 randomly selected sites (= coarse-grained sampling) provided a greater ability to detect changes in the abundances of these taxa than did more intensive sampling of 6 sites (= fine-grained sampling). Because of its greater power, the coarse-grained sampling scheme was adopted in subsequent years. This report provides detailed analyses of the 4 years of data and evaluates the relative effect of different sampling attributes and management-set parameters on the ability of the sampling to detect changes in the abundances of these taxa. The intent was to provide managers with information to guide design choices for intertidal monitoring. I found that the coarse-grained surveys, as conducted from 1998 to 2001, had power ranging from 0.68 to 1.0 to detect 10 percent annual changes in the abundances of these predominant sessile species. The information gained through intertidal monitoring would be useful in assessing changes due to climate (including ocean acidification), invasive species, trampling effects, and oil spills.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101283","collaboration":"Prepared in cooperation with the National Park Service\r\n","usgsCitation":"Irvine, G.V., 2010, Development of monitoring protocols to detect change in rocky intertidal communities of Glacier Bay National Park and Preserve: U.S. Geological Survey Open-File Report 2010-1283, vi, 29 p.; Figures; Tables; Appendices; Downloads: Report Body; Appendix A; Appendix B; Appendix C; Appendix D; Appendix E, https://doi.org/10.3133/ofr20101283.","productDescription":"vi, 29 p.; Figures; Tables; Appendices; Downloads: Report Body; Appendix A; Appendix B; Appendix C; Appendix D; Appendix E","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":126153,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1283.jpg"},{"id":14395,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1283/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65de70","contributors":{"authors":[{"text":"Irvine, Gail V. girvine@usgs.gov","contributorId":2368,"corporation":false,"usgs":true,"family":"Irvine","given":"Gail","email":"girvine@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":307098,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":9000519,"text":"ofr20101006 - 2010 - Geophysical and sampling data from the inner continental shelf: Northern Cape Cod Bay, Massachusetts","interactions":[],"lastModifiedDate":"2017-11-10T18:26:01","indexId":"ofr20101006","displayToPublicDate":"2010-12-22T00:00:00","publicationYear":"2010","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":"2010-1006","title":"Geophysical and sampling data from the inner continental shelf: Northern Cape Cod Bay, Massachusetts","docAbstract":"The U.S. Geological Survey (USGS) and the Massachusetts Office of Coastal Zone Management (CZM) have cooperated to map approximately 480 km2 of the inner continental shelf in northern Cape Cod Bay, MA. This report contains geophysical and sampling data collected by the USGS during five research cruises between 2006 and 2008. The geophysical data include (1) swath bathymetry from interferometric sonar, (2) acoustic backscatter from interferometric and sidescan sonars, and (3) subsurface stratigraphy and structure from seismic-reflection profilers. The seafloor sampling data include sediment samples, photographs, and video tracklines. These spatial data support research on the influence that sea-level change and sediment supply have on coastal evolution and help identify the type, distribution, and quality of subtidal marine habitats within the coastal zone of Massachusetts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101006","usgsCitation":"Andrews, B., Ackerman, S.D., Baldwin, W.E., and Barnhardt, W., 2010, Geophysical and sampling data from the inner continental shelf: Northern Cape Cod Bay, Massachusetts: U.S. Geological Survey Open-File Report 2010-1006, HTML Page and DVD/CD Rom; PDF: iv, 7 p.; Figures; Appendices, https://doi.org/10.3133/ofr20101006.","productDescription":"HTML Page and DVD/CD Rom; PDF: iv, 7 p.; Figures; Appendices","numberOfPages":"19","additionalOnlineFiles":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126007,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1006.bmp"},{"id":19180,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1006/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-70.1341037750243, 41.95104789733888], [-70.4096186705684, 41.95154055278067], [-70.50489807128906, 41.929197311401474], [-70.59550666809083, 41.96906852722178], [-70.5973510870749, 41.97991037474872], [-70.5879332917579, 41.986537712194135], [-70.58897971345982, 41.998048350914765], [-70.63153419600297, 42.0399052189901], [-70.64330863952637, 42.06887245178229], [-70.59966278076172, 42.08695030212412], [-70.53343772888182, 42.093832015991325], [-70.27768516540526, 42.09016227722178], [-70.26380271816402, 42.08609683315666], [-70.22901064801272, 42.0373683146205], [-70.2007572620618, 42.0206255673903], [-70.15401709271117, 41.955049807405885], [-70.13692553824713, 41.956096229107686], [-70.13679885864252, 42.04490470886237], [-70.1330777347764, 41.954507150169185], [-70.1128253936767, 41.95272636413572], [-70.1341037750243, 41.95104789733888]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-70.64330863952637, 41.929197311401474, -70.1128253936767, 42.09390449523937], \"type\": \"Feature\", \"id\": \"3091914\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c1cd","contributors":{"authors":[{"text":"Andrews, Brian D.","contributorId":54180,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian D.","affiliations":[],"preferred":false,"id":344194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":344193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhardt, Walter A.","contributorId":80656,"corporation":false,"usgs":true,"family":"Barnhardt","given":"Walter A.","affiliations":[],"preferred":false,"id":344195,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236315,"text":"70236315 - 2010 - Scale-invariant stress orientations and seismicity rates near the San Andreas Fault","interactions":[],"lastModifiedDate":"2022-09-01T16:10:27.946688","indexId":"70236315","displayToPublicDate":"2010-12-21T10:44:23","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Scale-invariant stress orientations and seismicity rates near the San Andreas Fault","docAbstract":"We analyzed measurements of the direction of maximum horizontal compressive stress as a function of depth in two scientific research wells near the San Andreas Fault in central and southern California. We found that the stress orientations exhibit scale-invariant fluctuations over intervals from tens of cm to several km. Similarity between the scaling of the stress orientation fluctuations and the scaling of earthquake frequency with fault size suggests that these fluctuations are controlled by stress perturbations caused by slip on faults of various sizes in the critically-stressed crust adjacent to the fault. The apparent difference in stress scaling parameters between the two studies wells seem to correspond to differences in the earthquake magnitude-frequency statistics for the creeping versus locked sections of the fault along which these two wells are located. This suggests that stress heterogeneity adjacent to active faults like the San Andreas may reflect variations in stresses and loading conditions along the fault.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GL045025","usgsCitation":"Day-Lewis, A., Zoback, M.D., and Hickman, S.H., 2010, Scale-invariant stress orientations and seismicity rates near the San Andreas Fault: Geophysical Research Letters, v. 37, no. 24, L24304, 5 p., https://doi.org/10.1029/2010GL045025.","productDescription":"L24304, 5 p.","costCenters":[],"links":[{"id":475632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl045025","text":"Publisher Index Page"},{"id":406070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.6680908203125,\n 36.40802070382984\n ],\n [\n -120.05859375,\n 34.67839374011646\n ],\n [\n -117.8448486328125,\n 34.075412438417395\n ],\n [\n -116.334228515625,\n 32.78265637602964\n ],\n [\n -115.20263671874999,\n 33.701492795584365\n ],\n [\n -117.32299804687499,\n 34.813803317113155\n ],\n [\n -120.38818359375,\n 36.83566824724438\n ],\n [\n -121.6680908203125,\n 36.40802070382984\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"24","noUsgsAuthors":false,"publicationDate":"2010-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Day-Lewis, Amy","contributorId":296086,"corporation":false,"usgs":false,"family":"Day-Lewis","given":"Amy","email":"","affiliations":[],"preferred":false,"id":850583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zoback, Mark D.","contributorId":29431,"corporation":false,"usgs":true,"family":"Zoback","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":true,"id":850584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850585,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}