{"pageNumber":"841","pageRowStart":"21000","pageSize":"25","recordCount":46730,"records":[{"id":70045969,"text":"ofr20071394 - 2007 - EAARL Topography-Sagamore Hill National Historic Site","interactions":[],"lastModifiedDate":"2013-05-16T12:03:14","indexId":"ofr20071394","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2007","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":"2007-1394","title":"EAARL Topography-Sagamore Hill National Historic Site","docAbstract":"This Web site contains lidar-derived bare earth (BE) and first return (FR) topography maps and GIS files for the Sagamore Hill National Historic Site.\n\nThese lidar-derived topography maps were produced as a collaborative effort between the U.S. Geological Survey (USGS) Coastal and Marine Geology Program, FISC St. Petersburg, Florida, the National Park Service (NPS), Northeast Coastal and Barrier Network, Inventory and Monitoring Program, and the National Aeronautics and Space Administration (NASA) Wallops Flight Facility. 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Present-day depth and thickness maps for the upper Miocene Monterey Formation, Eocene Tumey formation of Atwill (1935), Eocene Kreyenhagen Formation, and Cretaceous-Paleocene Moreno Formation source rocks in the San Joaquin Basin were determined using formation tops data from 266 wells. Rock-Eval pyrolysis and total organic carbon data (Rock-Eval/TOC) were collected for 1,505 rock samples from these source rocks in 70 wells. Averages of these data for each well penetration were used to construct contour plots of original total organic carbon (TOCo) and original hydrogen index (HIo) in the source rock prior to thermal maturation resulting from burial. Sufficient data were available to construct plots of TOCo and HIo for all source-rock units except the Tumey formation of Atwill (1935). Thick, organic-rich, oil-prone shales of the upper Miocene Monterey Formation occur in the Tejon depocenter in the southern part of the basin with somewhat less favorable occurrence in the Southern Buttonwillow depocenter to the north. Shales of the upper Miocene Monterey Formation generated most of the petroleum in the San Joaquin Basin. Thick, organic-rich, oil-prone Kreyenhagen Formation source rock occurs in the Buttonwillow depocenters, but it is thin or absent in the Tejon depocenter. Moreno Formation source rock is absent from the Tejon and Southern Buttonwillow depocenters, but thick, organic-rich, oil-prone Moreno Formation source rock occurs northwest of the Northern Buttonwillow depocenter adjacent to the southern edge of Coalinga field.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California (PP 1713)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp171311","usgsCitation":"Peters, K., Magoon, L.B., Valin, Z.C., and Lillis, P.G., 2007, Source-rock geochemistry of the San Joaquin Basin Province, California: Chapter 11 in Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California: U.S. Geological Survey Professional Paper 1713-11, Chapter 11: 102 p., https://doi.org/10.3133/pp171311.","productDescription":"Chapter 11: 102 p.","additionalOnlineFiles":"Y","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":266303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1713_11.jpg"},{"id":266297,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/pp1713/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":266298,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/pp1713/11/pp1713_ch11.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.75,34.75 ], [ -121.75,38.0 ], [ -118.75,38.0 ], [ -118.75,34.75 ], [ -121.75,34.75 ] ] ] } } ] }","publicComments":"This report is Chapter 11 in Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California. 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The results show that there are at least four oil types designated MM, ET, EK, and CM. Most of the oil from the basin has low to moderate sulfur content (less than 1 weight percent sulfur), although a few unaltered MM oils have as much as 1.2 weight percent sulfur. Reevaluation of source rock data from the literature indicate that the EK oil type is derived from the Eocene Kreyenhagen Formation, and the MM oil type is derived, in part, from the Miocene to Pliocene Monterey Formation and its equivalent units. The ET oil type is tentatively correlated to the Eocene Tumey formation of Atwill (1935). Previous studies suggest that the CM oil type is derived from the Late Cretaceous to Paleocene Moreno Formation. Maps of the distribution of the oil types show that the MM oil type is restricted to the southern third of the San Joaquin Basin Province. The composition of MM oils along the southern and eastern margins of the basin reflects the increased contribution of terrigenous organic matter to the marine basin near the Miocene paleoshoreline. EK oils are widely distributed along the western half of the basin, and ET oils are present in the central and west-central areas of the basin. The CM oil type has only been found in the Coalinga area in southwestern Fresno County. The oil type maps provide the basis for petroleum system maps that incorporate source rock distribution and burial history, migration pathways, and geologic relationships between hydrocarbon source and reservoir rocks. These petroleum system maps were used for the 2003 U.S. Geological Survey resource assessment of the San Joaquin Basin Province.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California (PP 1713)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp17139","usgsCitation":"Lillis, P.G., and Magoon, L.B., 2007, Petroleum systems of the San Joaquin Basin Province, California -- geochemical characteristics of oil types: Chapter 9 in Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California: U.S. Geological Survey Professional Paper 1713-9, Chapter 9: 52 p., https://doi.org/10.3133/pp17139.","productDescription":"Chapter 9: 52 p.","additionalOnlineFiles":"Y","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":266294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1713_9.jpg"},{"id":266293,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/pp1713/09/pp1713_ch09.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":266292,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/pp1713/","text":"Index Page","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.75,34.75 ], [ -121.75,38.0 ], [ -118.75,38.0 ], [ -118.75,34.75 ], [ -121.75,34.75 ] ] ] } } ] }","publicComments":"This report is Chapter 9 in Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California. Please see Professional Paper 1713 for other chapters.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5101147ae4b033b1feeb2c04","contributors":{"authors":[{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":472192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoon, Leslie B. lmagoon@usgs.gov","contributorId":2383,"corporation":false,"usgs":true,"family":"Magoon","given":"Leslie","email":"lmagoon@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":472193,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047995,"text":"ofr20071189 - 2007 - Report of the First National Lidar Initiative Meeting, February 14-16, Reston, Va.","interactions":[],"lastModifiedDate":"2018-06-16T18:27:48","indexId":"ofr20071189","displayToPublicDate":"2012-09-05T13:31:00","publicationYear":"2007","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":"2007-1189","title":"Report of the First National Lidar Initiative Meeting, February 14-16, Reston, Va.","docAbstract":"

The first National Lidar Initiative meeting was held on February 14-16, 2007 at the USGS National Center in Reston, Virginia. This meeting was a successor to a meeting held September 12, 2006 of several agencies, including the National Aeronautics and Space Administration (NASA), the Association of American State Geologists (AASG), and the U.S. Geological Survey (USGS). During the 2006 discussion, the USGS presented a plan to organize a meeting to discuss the feasibility and strategy of a National Lidar Initiative. Originally scheduled as a workshop to be held in June, 2007, the meeting was moved up to February to accommodate the desire of AASG to have talking points available at their Annual Meeting in March, 2007. The original workshop was recast as a meeting of representatives from Federal, State, and local government, and from private industry, to formulate a national initiative with the goal of collecting high resolution, high accuracy light detection and ranging (lidar) data for all 50 states.

\n
\n

The goals of the National Lidar Initiative meeting were to:

\n

1) Identify government staff with all scales of applications who are willing to help devise a potential national strategy and communicate the initiative throughout the lidar community.

\n

2) Identify points of contact for future meetings, information exchanges, and design teams. \n

3) Compose a document explaining the need of a consistent national lidar dataset.

\n

4) Identify champions of this idea who would be willing to work toward funding this effort.

\n
\n

This report is intended to summarize the views expressed by the invited speakers and the participant's discussions on a National Lidar Initiative. It is not intended to be a comprehensive document on the technical aspects of lidar, what lidar can be used for, or the state of the art in lidar technology, although many of these aspects do come through in the views of the presenters.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071189","usgsCitation":"Stoker, J.M., Parrish, J., Gisclair, D., Harding, D., Haugerud, R., Flood, M., Andersen, H., Schuckman, K., Maune, D., Rooney, P., Waters, K., Habib, A., Wiggins, E., Ellingson, B., Jones, B.M., Nechero, S., Nayegandhi, A., Saultz, T., and Lee, G., 2007, Report of the First National Lidar Initiative Meeting, February 14-16, Reston, Va.: U.S. Geological Survey Open-File Report 2007-1189, v, 64 p., https://doi.org/10.3133/ofr20071189.","productDescription":"v, 64 p.","numberOfPages":"69","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":277321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20071189.PNG"},{"id":277320,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1189/report.pdf"}],"country":"United 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The USA National Phenology Network (USA-NPN) is currently being organized to engage federal agencies, environmental networks and field stations, educational institutions, and citizen scientists. The first USA-NPN planning workshop was held August 2005, in Tucson, Ariz. (Betancourt et al. [2005]; http://www.uwm.edu/Dept/Geography/npn/; by 1 June 2007, also see http://www.usanpn.org). With sponsorship from the U.S. National Science Foundation, the U.S. Geological Survey (USGS), the U.S. Fish and Wildlife Service, and NASA, the second USA-NPN planning workshop was held at the University of Wisconsin-Milwaukee on 10–12 October 2006 to (1) develop lists of target species and observation protocols; (2) identify existing networks that could comprise the backbone of nationwide observations by 2008; (3) develop opportunities for education, citizen science, and outreach beginning in spring 2007; (4) design strategies for implementing the remote sensing component of USA-NPN; and (5) draft a data management and cyberinfrastructure plan.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2007EO190007","usgsCitation":"Betancourt, J.L., Schwartz, M., Breshears, D.D., Brewer, C.A., Frazer, G., Gross, J.E., Mazer, S., Reed, B.C., and Wilson, B.E., 2007, Evolving plans for the USA National Phenology Network: Eos, Transactions, American Geophysical Union, v. 88, no. 19, p. 211-211, https://doi.org/10.1029/2007EO190007.","productDescription":"1 p.","startPage":"211","endPage":"211","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":257816,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257809,"rank":100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2007EO190007","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"88","issue":"19","noUsgsAuthors":false,"publicationDate":"2007-06-26","publicationStatus":"PW","scienceBaseUri":"505a0d94e4b0c8380cd530c3","contributors":{"authors":[{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - 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2007 - U.S. Geological Survey input-data form and operational procedure for the assessment of conventional petroleum accumulations: Chapter 25 in Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California","interactions":[],"lastModifiedDate":"2018-08-31T13:10:25","indexId":"pp171325","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1713-25","title":"U.S. Geological Survey input-data form and operational procedure for the assessment of conventional petroleum accumulations: Chapter 25 in Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California","docAbstract":"The U.S. Geological Survey model for undiscovered conventional accumulations is designed to aid in the assessment of crude oil, natural gas, and natural gas liquids (collectively called petroleum) resources. Conventional accumulations may be described in terms of discrete fields or pools localized in structural and stratigraphic traps by the buoyancy of oil or natural gas in water. Conventional accumulations are commonly bounded by a down-dip water contact. The assessment model requires estimates of the number and sizes of undiscovered conventional accumulations. Technically recoverable petroleum resources from undiscovered conventional accumulations are calculated by statistically combining probability distributions of the estimated number and sizes of undiscovered accumulations, along with associated risks and coproduct ratios. 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These data, as well as the broad knowledge and experience of the assessing geologists, are synthesized to provide, for each assessment unit, geologic and exploration models upon which estimates are made of the number and sizes of undiscovered accumulations for conventional assessment units or number and total recoverable volumes of untested cells for continuous assessment units (input data for resource calculations). Quantified geologic information and trends in production and exploration/discovery-history data with respect to time and exploration effort provide guides for the estimating parameters of variables recorded on the input-data forms (input data) used to calculate petroleum resources. An Assessment Review Team reviews proposed geologic and exploration models and input data for each assessment unit in formal assessment meetings. 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These third- and higher-order sequences (<3 m.y. duration) comprise the principal intervals for petroleum assessment for the basin, including key reservoir and source rock intervals. Important characteristics of each sequence are discussed, including distribution and stratigraphic relationships, sedimentary facies, regional correlation, and age relations. This higher-order stratigraphic packaging represents relatively short-term fluctuations in various forcing factors including climatic effects, changes in sediment supply, local and regional tectonism, and fluctuations in global eustatic sea level. These stratigraphic packages occur within the context of second-order stratigraphic megasequences, which mainly reflect long-term tectonic basin evolution. Despite more than a century of petroleum exploration in the San Joaquin Basin, many uncertainties remain regarding the age, correlation, and origin of the third- and higher-order sequences. Nevertheless, a sequence stratigraphic approach allows definition of key intervals based on genetic affinity rather than purely lithostratigraphic relationships, and thus is useful for reconstructing the multiphase history of this basin, as well as understanding its petroleum systems.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California (PP 1713)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp17136","usgsCitation":"Johnson, C.L., and Graham, S.A., 2007, Middle Tertiary stratigraphic sequences of the San Joaquin Basin, California: U.S. Geological Survey Professional Paper 1713-6, 18 p., https://doi.org/10.3133/pp17136.","productDescription":"18 p.","additionalOnlineFiles":"Y","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":266945,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/pp1713/06/pp1713_ch06.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":266946,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1713_6.jpg"},{"id":266944,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/pp1713/","linkFileType":{"id":5,"text":"html"}},{"id":463256,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_82228.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.75,34.75 ], [ -121.75,38.0 ], [ -118.75,38.0 ], [ -118.75,34.75 ], [ -121.75,34.75 ] ] ] } } ] }","publicComments":"This report is Chapter 6 in Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California. 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Digital tabular data used in this report and archival data that permit the user to perform further analyses are available elsewhere on this CD–ROM. Computers and software may import the data without transcription from the portable document format (.pdf) files of the text by the reader. 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The ability to remotely detect movement helps to avoid disturbing natural movement behavior. Remote detection implies that the observer can sense only a change in signal bearing. In our simulated movements, small changes in bearing (<5.7??) were routinely undetectable. Detectability improved progressively with the size of the simulated animal movement. The average (??SD) of reflector tag movements correctly detected for 5 observers was 93.9 ?? 12.8% when the tag was moved ???11.5??; most observers correctly detected tag movements ???20.1??. Given our data, one can assess whether the technique will be effective for detecting movements at an observation distance appropriate for the study organism. We recommend that both habitat and behavior of the organism be taken into consideration when contemplating use of this technique for detecting locomotion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2006-396","issn":"0022541X","usgsCitation":"Boyarski, V., Rodda, G., and Savidge, J.A., 2007, Evaluation of harmonic direction-finding systems for detecting locomotor activity: Journal of Wildlife Management, v. 71, no. 5, p. 1704-1707, https://doi.org/10.2193/2006-396.","startPage":"1704","endPage":"1707","costCenters":[],"links":[{"id":203369,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18968,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2006-396"}],"volume":"71","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5facd3","contributors":{"authors":[{"text":"Boyarski, V.L.","contributorId":31508,"corporation":false,"usgs":true,"family":"Boyarski","given":"V.L.","email":"","affiliations":[],"preferred":false,"id":346383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodda, G.H.","contributorId":103998,"corporation":false,"usgs":true,"family":"Rodda","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":346385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savidge, J. A.","contributorId":36078,"corporation":false,"usgs":false,"family":"Savidge","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":346384,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70000580,"text":"70000580 - 2007 - Activity budgets derived from time-depth recorders in a diving mammal","interactions":[],"lastModifiedDate":"2018-05-13T12:15:09","indexId":"70000580","displayToPublicDate":"2010-09-28T23:09:28","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Activity budgets derived from time-depth recorders in a diving mammal","docAbstract":"

We describe a method to convert continuously collected time–depth data from archival time–depth recorders (TDRs) into activity budgets for a benthic-foraging marine mammal. We used data from 14 TDRs to estimate activity-specific time budgets in sea otters (Enhydra lutris) residing near Cross Sound, southeast Alaska, USA. From the TDRs we constructed a continuous record of behavior for each individual over 39–46 days during summer of 1999. Behaviors were classified as foraging (diving to the bottom), other diving (traveling, grooming, interacting), and nondiving (assumed resting). The overall average activity budget (proportion of 24-hr/d) was 0.37 foraging (8.9 hr/d), 0.11 in other diving (2.6 hr/d), and 0.52 nondiving time (12.5 hr/d). We detected significant differences in activity budgets among individuals and between groups within our sample. Historically, the sea otter population in our study area had been expanding and sequentially reoccupying vacant habitat since their reintroduction to the area in the 1960s, and our study animals resided in 2 adjacent yet distinct locations. Males (n = 5) and individuals residing in recently occupied habitat (n = 4) spent 0.28–0.30 of their time foraging (6.7–7.2 hr/d), 0.17–0.18 of their time in other diving behaviors (4.1–4.3 hr/d), and 0.53–0.54 of their time resting (12.7–13.0 hr/d). In contrast, females (n = 9) and individuals residing in longer occupied habitat (n = 10) spent 0.40 of their time foraging (9.6 hr/d), 0.08–0.09 of their time in other diving behaviors (1.9–2.2 hr/d), and 0.51–0.52 of their time resting (12.2–12.5 hr/d). Consistent with these differences, sea otters residing in more recently occupied habitat captured more and larger clams (Saxidomus spp., Protothaca spp., Macoma spp., Mya spp.,Clinocardium spp.) and other prey, and intertidal clams were more abundant and larger in this area. We found that TDRs provided data useful for measuring activity time budgets and behavior patterns in a diving mammal over long and continuous time periods. Fortuitous contrasts in time budgets between areas where our study animals resided suggest that activity time budgets estimated from TDRs may be a sensitive indicator of population status, particularly in relation to prey availability.

","language":"English","publisher":"The Wildlife Society","doi":"10.2193/2006-258","issn":"0022541X","usgsCitation":"Bodkin, J.L., Monson, D., and Esslinger, G.G., 2007, Activity budgets derived from time-depth recorders in a diving mammal: Journal of Wildlife Management, v. 71, no. 6, p. 2034-2044, https://doi.org/10.2193/2006-258.","productDescription":"11 p.","startPage":"2034","endPage":"2044","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":203358,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699cdf","contributors":{"authors":[{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":346360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monson, Daniel H. 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":140480,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel H.","email":"dmonson@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":346361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":346362,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70000576,"text":"70000576 - 2007 - Evaluating detection probabilities for American marten in the Black Hills, South Dakota","interactions":[],"lastModifiedDate":"2017-04-12T16:10:29","indexId":"70000576","displayToPublicDate":"2010-09-28T23:09:27","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating detection probabilities for American marten in the Black Hills, South Dakota","docAbstract":"Assessing the effectiveness of monitoring techniques designed to determine presence of forest carnivores, such as American marten (Martes americana), is crucial for validation of survey results. Although comparisons between techniques have been made, little attention has been paid to the issue of detection probabilities (p). Thus, the underlying assumption has been that detection probabilities equal 1.0. We used presence-absence data obtained from a track-plate survey in conjunction with results from a saturation-trapping study to derive detection probabilities when marten occurred at high (>2 marten/10.2 km2) and low (???1 marten/10.2 km2) densities within 8 10.2-km2 quadrats. Estimated probability of detecting marten in high-density quadrats was p = 0.952 (SE = 0.047), whereas the detection probability for low-density quadrats was considerably lower (p = 0.333, SE = 0.136). Our results indicated that failure to account for imperfect detection could lead to an underestimation of marten presence in 15-52% of low-density quadrats in the Black Hills, South Dakota, USA. We recommend that repeated site-survey data be analyzed to assess detection probabilities when documenting carnivore survey results.","language":"English","publisher":"The Wildlife Society","doi":"10.2193/2007-091","issn":"0022541X","usgsCitation":"Smith, J.B., Jenks, J., and Klaver, R.W., 2007, Evaluating detection probabilities for American marten in the Black Hills, South Dakota: Journal of Wildlife Management, v. 71, no. 7, p. 2412-2416, https://doi.org/10.2193/2007-091.","productDescription":"5 p.","startPage":"2412","endPage":"2416","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":203366,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18959,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2007-091"}],"volume":"71","issue":"7","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fb0b9","contributors":{"authors":[{"text":"Smith, Joshua B.","contributorId":71883,"corporation":false,"usgs":true,"family":"Smith","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":346347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":346348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":346349,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70000584,"text":"70000584 - 2007 - Denning chronology and design of effective bear management units","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000584","displayToPublicDate":"2010-09-28T23:09:27","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Denning chronology and design of effective bear management units","docAbstract":"Reports on the effectiveness of using late fall hunting seasons to reduce the proportion of female black bears (Ursus americanus) in the harvest are limited, and the geographic scale over which the technique functions as intended has not been examined. During 1992-2000, we radio-equipped black bears in New Mexico, USA, obtained estimates of 175 den entry and 137 den emergence dates, and used New Mexico Department of Game and Fish harvest data (1985-2000) to test for differences in proportion of females in the harvest relative to denning chronology. Bears in northern New Mexico entered dens earlier and emerged later than bears in southern New Mexico (P ??? 0.001). In northern New Mexico bears displayed the typical pattern of earlier entry and later emergence by reproductive females, proportion of females in the harvest varied over time as expected, and late fall seasons were effective (P ??? 0.10). In contrast, denning chronology did not differ by sex in southern New Mexico, proportion of females in the harvest did not change over time, and late fall seasons were not effective (P ??? 0.18). Manipulation of hunting season dates to influence female mortality can be an effective tool, however our study provides an example of an area where denning chronology did not differ by sex and late seasons were not effective. We also observed regional differences in timing of entrance and emergence, which suggest that scale of application may be key. In management jurisdictions that encompass ecologically distinct areas, cover a wide range of latitudes, or are mountainous, successful use of the technique may depend on knowledge of denning chronology at multiple locations and appropriate designation of hunting unit boundaries, season dates, and data analysis units.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2006-252","issn":"0022541X","usgsCitation":"Inman, R., Costello, C., Jones, D., Inman, K., Thompson, B., and Quigley, H., 2007, Denning chronology and design of effective bear management units: Journal of Wildlife Management, v. 71, no. 5, p. 1476-1483, https://doi.org/10.2193/2006-252.","startPage":"1476","endPage":"1483","costCenters":[],"links":[{"id":203738,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18967,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2006-252"}],"volume":"71","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688d12","contributors":{"authors":[{"text":"Inman, R.M.","contributorId":79213,"corporation":false,"usgs":true,"family":"Inman","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":346380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costello, C.M.","contributorId":104607,"corporation":false,"usgs":true,"family":"Costello","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":346382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, D.E.","contributorId":29938,"corporation":false,"usgs":true,"family":"Jones","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":346378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Inman, K.H.","contributorId":38693,"corporation":false,"usgs":true,"family":"Inman","given":"K.H.","email":"","affiliations":[],"preferred":false,"id":346379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, B.C.","contributorId":102433,"corporation":false,"usgs":true,"family":"Thompson","given":"B.C.","email":"","affiliations":[],"preferred":false,"id":346381,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quigley, H.B.","contributorId":15325,"corporation":false,"usgs":true,"family":"Quigley","given":"H.B.","email":"","affiliations":[],"preferred":false,"id":346377,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70000583,"text":"70000583 - 2007 - Effectiveness of scat detection dogs for detecting forest carnivores","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000583","displayToPublicDate":"2010-09-28T23:09:27","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of scat detection dogs for detecting forest carnivores","docAbstract":"We assessed the detection and accuracy rates of detection dogs trained to locate scats from free-ranging black bears (Ursus americanus), fishers (Martes pennanti), and bobcats (Lynx rufus). During the summers of 2003-2004, 5 detection teams located 1,565 scats (747 putative black bear, 665 putative fisher, and 153 putative bobcat) at 168 survey sites throughout Vermont, USA. Of 347 scats genetically analyzed for species identification, 179 (51.6%) yielded a positive identification, 131 (37.8%) failed to yield DNA information, and 37 (10.7%) yielded DNA but provided no species confirmation. For 70 survey sites where confirmation of a putative target species' scat was not possible, we assessed the probability that ???1 of the scats collected at the site was deposited by the target species (probability of correct identification; P ID). Based on species confirmations or PID values, we detected bears at 57.1% (96) of sites, fishers at 61.3% (103) of sites, and bobcats at 12.5%o (21) of sites. We estimated that the mean probability of detecting the target species (when present) during a single visit to a site was 0.86 for black bears, 0.95 for fishers, and 0.40 for bobcats. The probability of detecting black bears was largely unaffected by site- or visit-specific covariates, but the probability of detecting fishers varied by detection team. We found little or no effect of topographic ruggedness, vegetation density, or local weather (e.g., temp, humidity) on detection probability for fishers or black bears (data were insufficient for bobcat analyses). Detection dogs were highly effective at locating scats from forest carnivores and provided an efficient and accurate method for collecting detection-nondetection data on multiple species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2006-230","issn":"0022541X","usgsCitation":"Long, R.A., Donovan, T., MacKay, P., Zielinski, W.J., and Buzas, J.S., 2007, Effectiveness of scat detection dogs for detecting forest carnivores: Journal of Wildlife Management, v. 71, no. 6, p. 2007-2017, https://doi.org/10.2193/2006-230.","startPage":"2007","endPage":"2017","costCenters":[],"links":[{"id":203737,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18966,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2006-230"}],"volume":"71","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688ce8","contributors":{"authors":[{"text":"Long, Robert A.","contributorId":11732,"corporation":false,"usgs":false,"family":"Long","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":346372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, T.M.","contributorId":91602,"corporation":false,"usgs":true,"family":"Donovan","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":346376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKay, Paula","contributorId":37042,"corporation":false,"usgs":false,"family":"MacKay","given":"Paula","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":346374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zielinski, William J.","contributorId":35440,"corporation":false,"usgs":false,"family":"Zielinski","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":346373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buzas, Jeffrey S.","contributorId":86080,"corporation":false,"usgs":false,"family":"Buzas","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":346375,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70000589,"text":"70000589 - 2007 - Identifying sites for elk restoration in Arkansas","interactions":[],"lastModifiedDate":"2016-04-13T12:33:20","indexId":"70000589","displayToPublicDate":"2010-09-28T23:09:27","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying sites for elk restoration in Arkansas","docAbstract":"

We used spatial data to identify potential areas for elk (Cervus elaphus) restoration in Arkansas. To assess habitat, we used locations of 239 elk groups collected from helicopter surveys in the Buffalo National River area of northwestern Arkansas, USA, from 1992 to 2002. We calculated the Mahalanobis distance (D2) statistic based on the relationship between those elk-group locations and a suite of 9 landscape variables to evaluate winter habitat in Arkansas. We tested model performance in the Buffalo National River area by comparing the D2 values of pixels representing areas with and without elk pellets along 19 fixed-width transects surveyed in March 2002. Pixels with elk scat had lower D2 values than pixels in which we found no pellets (logistic regression: Wald χ2 = 24.37, P < 0.001), indicating that habitat characteristics were similar to those selected by the aerially surveyed elk. Our D2 model indicated that the best elk habitat primarily occurred in northern and western Arkansas and was associated with areas of high landscape heterogeneity, heavy forest cover, gently sloping ridge tops and valleys, low human population density, and low road densities. To assess the potential for elk–human conflicts in Arkansas, we used the analytical hierarchy process to rank the importance of 8 criteria based on expert opinion from biologists involved in elk management. The biologists ranked availability of forage on public lands as having the strongest influence on the potential for elk–human conflict (33%), followed by human population growth rate (22%) and the amount of private land in row crops (18%). We then applied those rankings in a weighted linear summation to map the relative potential for elk–human conflict. Finally, we used white-tailed deer (Odocoileus virginianus) densities to identify areas where success of elk restoration may be hampered due to meningeal worm (Parelaphostrongylus tenuis) transmission. By combining results of the 3 spatial data layers (i.e., habitat model, elk–human conflict model, deer density), our model indicated that restoration sites located in west-central and north-central Arkansas were most favorable for reintroduction.

","language":"English","publisher":"Wildlife Society","doi":"10.2193/2005-673","issn":"0022541X","usgsCitation":"Telesco, R., Van Manen, F., Clark, J.D., and Cartwright, M.E., 2007, Identifying sites for elk restoration in Arkansas: Journal of Wildlife Management, v. 71, no. 5, p. 1393-1403, https://doi.org/10.2193/2005-673.","productDescription":"11 p.","startPage":"1393","endPage":"1403","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":203456,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Buffalo National River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.40370178222655,\n 35.91630351831702\n 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D.","contributorId":85911,"corporation":false,"usgs":true,"family":"Clark","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":346399,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cartwright, Michael E.","contributorId":55566,"corporation":false,"usgs":true,"family":"Cartwright","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":346397,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70000581,"text":"70000581 - 2007 - Use of the Beaufort Sea by king eiders breeding on the North Slope of Alaska","interactions":[],"lastModifiedDate":"2012-03-08T17:16:38","indexId":"70000581","displayToPublicDate":"2010-09-28T23:09:26","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Use of the Beaufort Sea by king eiders breeding on the North Slope of Alaska","docAbstract":"We estimated areas used by king eiders (Somateria spectabilis) in the Alaskan Beaufort Sea, how distributions of used areas varied, and characteristics that explained variation in the number of days spent at sea, to provide regulatory agencies with baseline data needed to minimize impacts of potential offshore oil development. We implanted sixty king eiders with satellite transmitters at nesting areas on the North Slope of Alaska, USA, in 2002-2004. More than 80% of marked eiders spent >2 weeks staging offshore prior to beginning a postbreeding molt migration. During postbreeding staging and migration, male king eiders had much broader distributions in the Alaskan Beaufort Sea than female eiders, which were concentrated in Harrison and Smith Bays. Distribution did not vary by sex during spring migration in the year after marking. Shorter residence times of eiders and deeper water at locations used during spring migration suggest the Alaskan Beaufort Sea might not be as critical a staging area for king eiders during prebreeding as it is postbreeding. Residence time in the Beaufort Sea varied by sex, with female king eiders spending more days at sea than males in spring and during postbreeding. We conclude the Alaskan Beaufort Sea is an important staging area for king eiders during postbreeding, and eider distribution should be considered by managers when mitigating for future offshore development. We recommend future studies examine the importance of spring staging areas outside the Alaskan Beaufort Sea.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2005-636","issn":"0022541X","usgsCitation":"Phillips, L.M., Powell, A., Taylor, E., and Rexstad, E., 2007, Use of the Beaufort Sea by king eiders breeding on the North Slope of Alaska: Journal of Wildlife Management, v. 71, no. 6, p. 1892-1898, https://doi.org/10.2193/2005-636.","startPage":"1892","endPage":"1898","costCenters":[],"links":[{"id":203334,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18964,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2005-636"}],"volume":"71","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db604302","contributors":{"authors":[{"text":"Phillips, Laura M.","contributorId":49497,"corporation":false,"usgs":false,"family":"Phillips","given":"Laura","email":"","middleInitial":"M.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":346365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, A.N.","contributorId":66194,"corporation":false,"usgs":true,"family":"Powell","given":"A.N.","email":"","affiliations":[],"preferred":false,"id":346366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, E.J.","contributorId":9752,"corporation":false,"usgs":true,"family":"Taylor","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":346363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rexstad, E.A.","contributorId":47063,"corporation":false,"usgs":true,"family":"Rexstad","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":346364,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":5224818,"text":"5224818 - 2007 - Population influences on tornado reports in the United States","interactions":[],"lastModifiedDate":"2021-06-14T15:30:40.949588","indexId":"5224818","displayToPublicDate":"2010-06-16T12:18:33","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3735,"text":"Weather and Forecasting","active":true,"publicationSubtype":{"id":10}},"title":"Population influences on tornado reports in the United States","docAbstract":"The number of tornadoes reported in the United States is believed to be less than the actual incidence of tornadoes, especially prior to the 1990s, because tornadoes may be undetectable by human witnesses in sparsely populated areas and areas in which obstructions limit the line of sight. A hierarchical Bayesian model is used to simultaneously correct for population-based sampling bias and estimate tornado density using historical tornado report data. The expected result is that F2-F5 compared with F0-F1 tornado reports would vary less with population density. The results agree with this hypothesis for the following population centers: Atlanta, Georgia; Champaign, Illinois; and Des Moines, Iowa. However, the results indicated just the opposite in Oklahoma. It is hypothesized that the result is explained by the misclassification of tornadoes that were worthy of F2-F5 rating but were classified as F0-F1 tornadoes, thereby artificially decreasing the number of F2-F5 and increasing the number of F0-F1 reports in rural Oklahoma.","language":"English","publisher":"AMS Publications","doi":"10.1175/WAF997.1","usgsCitation":"Anderson, C., Wikle, C.K., Zhou, Q., and Royle, J., 2007, Population influences on tornado reports in the United States: Weather and Forecasting, v. 22, no. 3, p. 571-579, https://doi.org/10.1175/WAF997.1.","productDescription":"9 p.","startPage":"571","endPage":"579","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":476857,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/waf997.1","text":"Publisher Index 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C.J.","contributorId":81986,"corporation":false,"usgs":true,"family":"Anderson","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":342777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wikle, C. K.","contributorId":57975,"corporation":false,"usgs":true,"family":"Wikle","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":342776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhou, Q. 0000-0002-1282-8177","orcid":"https://orcid.org/0000-0002-1282-8177","contributorId":93164,"corporation":false,"usgs":true,"family":"Zhou","given":"Q.","affiliations":[],"preferred":false,"id":342778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":342779,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":5224828,"text":"5224828 - 2007 - Climatic variation and the distribution of an amphibian polyploid complex","interactions":[],"lastModifiedDate":"2021-06-01T17:18:19.62401","indexId":"5224828","displayToPublicDate":"2010-06-16T12:18:33","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climatic variation and the distribution of an amphibian polyploid complex","docAbstract":"

1. The establishment of polyploid populations involves the persistence and growth of the polyploid in the presence of the progenitor species. Although there have been a number of animal polyploid species documented, relatively few inquiries have been made into the large-scale mechanisms of polyploid establishment in animal groups. Herein we investigate the influence of regional climatic conditions on the distributional patterns of a diploid-tetraploid species pair of gray treefrogs, Hyla chrysoscelis and H. versicolor (Anura: Hylidae) in the mid-Atlantic region of eastern North America. 2. Calling surveys at breeding sites were used to document the distribution of each species. Twelve climatic models and one elevation model were generated to predict climatic and elevation values for gray treefrog breeding sites. A canonical analysis of discriminants was used to describe relationships between climatic variables, elevation and the distribution of H. chrysoscelis and H. versicolor. 3. There was a strong correlation between several climatic variables, elevation and the distribution of the gray treefrog complex. Specifically, the tetraploid species almost exclusively occupied areas of higher elevation, where climatic conditions were relatively severe (colder, drier, greater annual variation). In contrast, the diploid species was restricted to lower elevations, where climatic conditions were warmer, wetter and exhibited less annual variation. 4. Clusters of syntopic sites were associated with areas of high variation in annual temperature and precipitation during the breeding season. 5. Our data suggest that large-scale climatic conditions have played a role in the establishment of the polyploid H. versicolor in at least some portions of its range. The occurrence of the polyploid and absence of the progenitor in colder, drier and more varied environments suggests the polyploid may posses a tolerance of severe environmental conditions that is not possessed by the diploid progenitor. 6. Our findings support the hypothesis that increased tolerance to severe environmental conditions is a plausible mechanism of polyploid establishment.

","language":"English","publisher":"Wiley Online","doi":"10.1111/j.1365-2656.2007.01300.x","usgsCitation":"Otto, C., Snodgrass, J., Forester, D., Mitchell, J., and Miller, R., 2007, Climatic variation and the distribution of an amphibian polyploid complex: Journal of Animal Ecology, v. 76, no. 6, p. 1053-1061, https://doi.org/10.1111/j.1365-2656.2007.01300.x.","productDescription":"9 p.","startPage":"1053","endPage":"1061","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202228,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.0576171875,\n 36.56260003738545\n ],\n [\n -75.41015624999999,\n 36.52729481454622\n ],\n [\n -75.5419921875,\n 38.20365531807149\n ],\n [\n -75.849609375,\n 39.707186656826515\n ],\n [\n -79.0576171875,\n 39.80853604144591\n ],\n [\n -79.0576171875,\n 36.56260003738545\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"6","noUsgsAuthors":false,"publicationDate":"2007-09-24","publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de111","contributors":{"authors":[{"text":"Otto, C.R.V. 0000-0002-7582-3525","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":24893,"corporation":false,"usgs":true,"family":"Otto","given":"C.R.V.","affiliations":[],"preferred":false,"id":342817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snodgrass, J.W.","contributorId":39102,"corporation":false,"usgs":true,"family":"Snodgrass","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":342818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forester, D.C.","contributorId":11313,"corporation":false,"usgs":true,"family":"Forester","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":342816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, J.C.","contributorId":80222,"corporation":false,"usgs":true,"family":"Mitchell","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":342820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, R.W.","contributorId":56173,"corporation":false,"usgs":true,"family":"Miller","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":342819,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":5224807,"text":"5224807 - 2007 - Occupancy estimation and modeling with multiple states and state uncertainty","interactions":[],"lastModifiedDate":"2021-05-25T11:54:04.559574","indexId":"5224807","displayToPublicDate":"2010-06-16T12:18:33","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy estimation and modeling with multiple states and state uncertainty","docAbstract":"

The distribution of a species over space is of central interest in ecology, but species occurrence does not provide all of the information needed to characterize either the well-being of a population or the suitability of occupied habitat. Recent methodological development has focused on drawing inferences about species occurrence in the face of imperfect detection. Here we extend those methods by characterizing occupied locations by some additional state variable ( e. g., as producing young or not). Our modeling approach deals with both detection probabilities,1 and uncertainty in state classification. We then use the approach with occupancy and reproductive rate data from California Spotted Owls (Strix occidentalis occidentalis) collected in the central Sierra Nevada during the breeding season of 2004 to illustrate the utility of the modeling approach. Estimates of owl reproductive rate were larger than naive estimates, indicating the importance of appropriately accounting for uncertainty in detection and state classification.

","language":"English","publisher":"Wiley","doi":"10.1890/06-1474","usgsCitation":"Nichols, J., Hines, J., MacKenzie, D., Seamans, M., and Gutierrez, R.J., 2007, Occupancy estimation and modeling with multiple states and state uncertainty: Ecology, v. 88, no. 6, p. 1395-1400, https://doi.org/10.1890/06-1474.","productDescription":"6 p.","startPage":"1395","endPage":"1400","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":196335,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648d98","contributors":{"authors":[{"text":"Nichols, J.D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":14332,"corporation":false,"usgs":true,"family":"Nichols","given":"J.D.","affiliations":[],"preferred":false,"id":342740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, J.E. 0000-0001-5478-7230","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":36885,"corporation":false,"usgs":true,"family":"Hines","given":"J.E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":342741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKenzie, D.I.","contributorId":69522,"corporation":false,"usgs":true,"family":"MacKenzie","given":"D.I.","email":"","affiliations":[],"preferred":false,"id":342743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seamans, M.E.","contributorId":48662,"corporation":false,"usgs":true,"family":"Seamans","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":342742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gutierrez, R. J.","contributorId":7647,"corporation":false,"usgs":false,"family":"Gutierrez","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":342739,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":5224819,"text":"5224819 - 2007 - Analysis of multinomial models with unknown index using data augmentation","interactions":[],"lastModifiedDate":"2012-02-02T00:15:31","indexId":"5224819","displayToPublicDate":"2010-06-16T12:18:33","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2229,"text":"Journal of Computational and Graphical Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of multinomial models with unknown index using data augmentation","docAbstract":"Multinomial models with unknown index ('sample size') arise in many practical settings. In practice, Bayesian analysis of such models has proved difficult because the dimension of the parameter space is not fixed, being in some cases a function of the unknown index. We describe a data augmentation approach to the analysis of this class of models that provides for a generic and efficient Bayesian implementation. Under this approach, the data are augmented with all-zero detection histories. The resulting augmented dataset is modeled as a zero-inflated version of the complete-data model where an estimable zero-inflation parameter takes the place of the unknown multinomial index. Interestingly, data augmentation can be justified as being equivalent to imposing a discrete uniform prior on the multinomial index. We provide three examples involving estimating the size of an animal population, estimating the number of diabetes cases in a population using the Rasch model, and the motivating example of estimating the number of species in an animal community with latent probabilities of species occurrence and detection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Computational and Graphical Statistics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"6818_Royle.pdf","usgsCitation":"Royle, J., Dorazio, R., and Link, W., 2007, Analysis of multinomial models with unknown index using data augmentation: Journal of Computational and Graphical Statistics, v. 16, no. 1, p. 67-85.","productDescription":"67-85","startPage":"67","endPage":"85","numberOfPages":"19","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202038,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":16869,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.amstat.org/doi/abs/10.1198/106186007X181425","linkFileType":{"id":5,"text":"html"}}],"volume":"16","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acfe4b07f02db6802ff","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":342782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, R.M. 0000-0003-2663-0468","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":23475,"corporation":false,"usgs":true,"family":"Dorazio","given":"R.M.","affiliations":[],"preferred":false,"id":342781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Link, W.A. 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":8815,"corporation":false,"usgs":true,"family":"Link","given":"W.A.","affiliations":[],"preferred":false,"id":342780,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":5224806,"text":"5224806 - 2007 - Spatial models of Northern Bobwhite populations for conservation planning","interactions":[],"lastModifiedDate":"2016-12-09T12:53:29","indexId":"5224806","displayToPublicDate":"2010-06-16T12:18:33","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial models of Northern Bobwhite populations for conservation planning","docAbstract":"Since 1980, northern bobwhite (Colinus virginianus) range-wide populations declined 3.9% annually. Within the West Gulf Coastal Plain Bird Conservation Region in the south-central United States, populations of this quail species have declined 6.8% annually. These declines sparked calls for land use change and prompted implementation of various conservation practices. However, to effectively reverse these declines and restore northern bobwhite to their former population levels, habitat conservation and management efforts must target establishment and maintenance of sustainable populations. To provide guidance for conservation and restoration of habitat capable of supporting sustainable northern bobwhite populations in the West Gulf Coastal Plain, we modeled their spatial distribution using landscape characteristics derived from 1992 National Land Cover Data and bird detections, from 1990 to 1994, along 10-stop Breeding Bird Survey route segments. Four landscape metrics influenced detections of northern bobwhite: detections were greater in areas with more grassland and increased aggregation of agricultural lands, but detections were reduced in areas with increased density of land cover edge and grassland edge. Using these landscape metrics, we projected the abundance and spatial distribution of northern bobwhite populations across the entire West Gulf Coastal Plain. Predicted populations closely approximated abundance estimates from a different cadre of concurrently collected data but model predictions did not accurately reflect bobwhite detections along species-specific call-count routes in Arkansas and Louisiana. Using similar methods, we also projected northern bobwhite population distribution circa 1980 based on Land Use Land Cover data and bird survey data from 1976 to 1984. We compared our 1980 spatial projections with our spatial estimate of 1992 populations to identify areas of population change. Additionally, we used our projection of the spatial distribution and abundance of bobwhite to predict areas of population sustainability. Our projections of population change and sustainability provide guidance for targeting habitat conservation and rehabilitation efforts for restoration of northern bobwhite populations in the West Gulf Coastal Plain.","language":"English","publisher":"The Wildlife Society","doi":"10.2193/2006-567","usgsCitation":"Twedt, D.J., Wilson, R.R., and Keister, A.S., 2007, Spatial models of Northern Bobwhite populations for conservation planning: Journal of Wildlife Management, v. 71, no. 6, p. 1808-1818, https://doi.org/10.2193/2006-567.","productDescription":"11 p.","startPage":"1808","endPage":"1818","numberOfPages":"11","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202302,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e55e2","contributors":{"authors":[{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":342738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, R. Randy","contributorId":100287,"corporation":false,"usgs":true,"family":"Wilson","given":"R.","email":"","middleInitial":"Randy","affiliations":[],"preferred":false,"id":342736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keister, Amy S.","contributorId":177319,"corporation":false,"usgs":false,"family":"Keister","given":"Amy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":342737,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":5221151,"text":"5221151 - 2007 - Hierarchical spatial models of abundance and occurrence from imperfect survey data","interactions":[],"lastModifiedDate":"2021-05-25T11:55:12.355905","indexId":"5221151","displayToPublicDate":"2010-06-16T12:18:33","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical spatial models of abundance and occurrence from imperfect survey data","docAbstract":"Many estimation and inference problems arising from large-scale animal surveys are focused on developing an understanding of patterns in abundance or occurrence of a species based on spatially referenced count data. One fundamental challenge, then, is that it is generally not feasible to completely enumerate ('census') all individuals present in each sample unit. This observation bias may consist of several components, including spatial coverage bias (not all individuals in the Population are exposed to sampling) and detection bias (exposed individuals may go undetected). Thus, observations are biased for the state variable (abundance, occupancy) that is the object of inference. Moreover, data are often sparse for most observation locations, requiring consideration of methods for spatially aggregating or otherwise combining sparse data among sample units. The development of methods that unify spatial statistical models with models accommodating non-detection is necessary to resolve important spatial inference problems based on animal survey data. In this paper, we develop a novel hierarchical spatial model for estimation of abundance and occurrence from survey data wherein detection is imperfect. Our application is focused on spatial inference problems in the Swiss Survey of Common Breeding Birds. The observation model for the survey data is specified conditional on the unknown quadrat population size, N(s). We augment the observation model with a spatial process model for N(s), describing the spatial variation in abundance of the species. The model includes explicit sources of variation in habitat structure (forest, elevation) and latent variation in the form of a correlated spatial process. This provides a model-based framework for combining the spatially referenced samples while at the same time yielding a unified treatment of estimation problems involving both abundance and occurrence. We provide a Bayesian framework for analysis and prediction based on the integrated likelihood, and we use the model to obtain estimates of abundance and occurrence maps for the European Jay (Garrulus glandarius), a widespread, elusive, forest bird. The naive national abundance estimate ignoring imperfect detection and incomplete quadrat coverage was 77 766 territories. Accounting for imperfect detection added approximately 18 000 territories, and adjusting for coverage bias added another 131 000 territories to yield a fully corrected estimate of the national total of about 227 000 territories. This is approximately three times as high as previous estimates that assume every territory is detected in each quadrat.","language":"English","publisher":"Wiley","doi":"10.1890/06-0912.1","usgsCitation":"Royle, J., Kery, M., Gautier, R., and Schmid, H., 2007, Hierarchical spatial models of abundance and occurrence from imperfect survey data: Ecological Monographs, v. 77, no. 3, p. 465-481, https://doi.org/10.1890/06-0912.1.","productDescription":"17 p.","startPage":"465","endPage":"481","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":193371,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8794","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":333144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kery, M.","contributorId":46637,"corporation":false,"usgs":true,"family":"Kery","given":"M.","affiliations":[],"preferred":false,"id":333142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gautier, R.","contributorId":91950,"corporation":false,"usgs":true,"family":"Gautier","given":"R.","email":"","affiliations":[],"preferred":false,"id":333143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmid, Hans","contributorId":19648,"corporation":false,"usgs":true,"family":"Schmid","given":"Hans","affiliations":[],"preferred":false,"id":333141,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":5224853,"text":"5224853 - 2007 - Mapping the information landscape: Discerning peaks and valleys for ecological monitoring","interactions":[],"lastModifiedDate":"2021-06-02T18:16:45.23344","indexId":"5224853","displayToPublicDate":"2010-06-16T12:18:33","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2194,"text":"Journal of Biological Physics","active":true,"publicationSubtype":{"id":10}},"title":"Mapping the information landscape: Discerning peaks and valleys for ecological monitoring","docAbstract":"

We investigate previously unreported phenomena that have a potentially significant impact on the design of surveillance monitoring programs for ecological systems. Ecological monitoring practitioners have long recognized that different species are differentially informative of a system's dynamics, as codified in the well-known concepts of indicator or keystone species. Using a novel combination of analysis techniques from nonlinear dynamics, we describe marked variation among spatial sites in information content with respect to system dynamics in the entire region. We first observed these phenomena in a spatially extended predator-prey model, but we observed strikingly similar features in verified water-level data from a NOAA/NOS Great Lakes monitoring program. We suggest that these features may be widespread and the design of surveillance monitoring programs should reflect knowledge of their existence.

","language":"English","publisher":"SpringerLink","doi":"10.1007/s10867-007-9047-y","usgsCitation":"Moniz, L., Nichols, J., and Nichols, J., 2007, Mapping the information landscape: Discerning peaks and valleys for ecological monitoring: Journal of Biological Physics, v. 33, no. 3, p. 171-181, https://doi.org/10.1007/s10867-007-9047-y.","productDescription":"11 p.","startPage":"171","endPage":"181","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":476854,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s10867-007-9047-y","text":"External Repository"},{"id":196288,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2008-02-28","publicationStatus":"PW","scienceBaseUri":"4f4e4b0ae4b07f02db69d384","contributors":{"authors":[{"text":"Moniz, L.J.","contributorId":17718,"corporation":false,"usgs":true,"family":"Moniz","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":342909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, J.D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":14332,"corporation":false,"usgs":true,"family":"Nichols","given":"J.D.","affiliations":[],"preferred":false,"id":342908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, J.M.","contributorId":18080,"corporation":false,"usgs":true,"family":"Nichols","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":342910,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":5221636,"text":"5221636 - 2007 - A Bayesian state-space formulation of dynamic occupancy models","interactions":[],"lastModifiedDate":"2021-05-25T11:54:44.678155","indexId":"5221636","displayToPublicDate":"2010-06-16T12:18:33","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian state-space formulation of dynamic occupancy models","docAbstract":"Species occurrence and its dynamic components, extinction and colonization probabilities, are focal quantities in biogeography and metapopulation biology, and for species conservation assessments. It has been increasingly appreciated that these parameters must be estimated separately from detection probability to avoid the biases induced by nondetection error. Hence, there is now considerable theoretical and practical interest in dynamic occupancy models that contain explicit representations of metapopulation dynamics such as extinction, colonization, and turnover as well as growth rates. We describe a hierarchical parameterization of these models that is analogous to the state-space formulation of models in time series, where the model is represented by two components, one for the partially observable occupancy process and another for the observations conditional on that process. This parameterization naturally allows estimation of all parameters of the conventional approach to occupancy models, but in addition, yields great flexibility and extensibility, e.g., to modeling heterogeneity or latent structure in model parameters. We also highlight the important distinction between population and finite sample inference; the latter yields much more precise estimates for the particular sample at hand. Finite sample estimates can easily be obtained using the state-space representation of the model but are difficult to obtain under the conventional approach of likelihood-based estimation. We use R and Win BUGS to apply the model to two examples. In a standard analysis for the European Crossbill in a large Swiss monitoring program, we fit a model with year-specific parameters. Estimates of the dynamic parameters varied greatly among years, highlighting the irruptive population dynamics of that species. In the second example, we analyze route occupancy of Cerulean Warblers in the North American Breeding Bird Survey (BBS) using a model allowing for site-specific heterogeneity in model parameters. The results indicate relatively low turnover and a stable distribution of Cerulean Warblers which is in contrast to analyses of counts of individuals from the same survey that indicate important declines. This discrepancy illustrates the inertia in occupancy relative to actual abundance. Furthermore, the model reveals a declining patch survival probability, and increasing turnover, toward the edge of the range of the species, which is consistent with metapopulation perspectives on the genesis of range edges. Given detection/non-detection data, dynamic occupancy models as described here have considerable potential for the study of distributions and range dynamics.","language":"English","publisher":"Wiley","doi":"10.1890/06-0669.1","usgsCitation":"Royle, J., and Kery, M., 2007, A Bayesian state-space formulation of dynamic occupancy models: Ecology, v. 88, no. 7, p. 1813-1823, https://doi.org/10.1890/06-0669.1.","productDescription":"11 p.","startPage":"1813","endPage":"1823","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":193508,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b426f","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":334328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kery, M.","contributorId":46637,"corporation":false,"usgs":true,"family":"Kery","given":"M.","affiliations":[],"preferred":false,"id":334327,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}