{"pageNumber":"1256","pageRowStart":"31375","pageSize":"25","recordCount":165309,"records":[{"id":70168739,"text":"70168739 - 2014 - Nitrogen cycling processes and microbial community composition in bed sediments in the Yukon River at Pilot Station","interactions":[],"lastModifiedDate":"2018-09-14T15:57:47","indexId":"70168739","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen cycling processes and microbial community composition in bed sediments in the Yukon River at Pilot Station","docAbstract":"<p><span>Information on the contribution of nitrogen (N)-cycling processes in bed sediments to river nutrient fluxes in large northern latitude river systems is limited. This study examined the relationship between N-cycling processes in bed sediments and N speciation and loading in the Yukon River near its mouth at the Bering Sea. We conducted laboratory bioassays to measure N-cycling processes in sediment samples collected over distinct water cycle seasons. In conjunction, the microbial community composition in the bed sediments using genes involved in N-cycling (</span><i>narG</i><span>,&nbsp;</span><i>napA</i><span>,&nbsp;</span><i>nosZ</i><span>, and&nbsp;</span><i>amoA</i><span>) and 16S rRNA gene pyrosequences was examined. Temporal variation was observed in net N mineralization, nitrate uptake, and denitrification rate potentials and correlated strongly with sediment carbon (C) and extractable N content and microbial community composition rather than with river water nutrient concentrations. The C content of the bed sediment was notably impacted by the spring flood, ranging from 1.1% in the midst of an ice-jam to 0.1% immediately after ice-out, suggesting a buildup of organic material (OM) prior to scouring of the bed sediments during ice break up. The dominant members of the microbial community that explained differences in N-processing rates belonged to the genera&nbsp;</span><i>Crenothrix</i><span>,</span><i>Flavobacterium</i><span>, and the family of Comamonadaceae. Our results suggest that biogeochemical processing rates in the bed sediments appear to be more coupled to hydrology, nutrient availability in the sediments, and microbial community composition rather than river nutrient concentrations at Pilot Station.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2014JG002707","usgsCitation":"Repert, D.A., Underwood, J., Smith, R.L., and Song, B., 2014, Nitrogen cycling processes and microbial community composition in bed sediments in the Yukon River at Pilot Station: Journal of Geophysical Research: Biogeosciences, v. 119, no. 12, p. 2328-2344, https://doi.org/10.1002/2014JG002707.","productDescription":"16 p.","startPage":"2328","endPage":"2344","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054832","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jg002707","text":"Publisher Index Page"},{"id":318419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Pilot Station","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162.91454315185547,\n              61.91762456647703\n            ],\n            [\n              -162.91454315185547,\n              61.94960777635835\n            ],\n            [\n              -162.82733917236328,\n              61.94960777635835\n            ],\n            [\n              -162.82733917236328,\n              61.91762456647703\n            ],\n            [\n              -162.91454315185547,\n              61.91762456647703\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-26","publicationStatus":"PW","scienceBaseUri":"56d579d7e4b015c306f1fc80","chorus":{"doi":"10.1002/2014jg002707","url":"http://dx.doi.org/10.1002/2014jg002707","publisher":"Wiley-Blackwell","authors":"Repert Deborah A., Underwood Jennifer C., Smith Richard L., Song Bongkeun","journalName":"Journal of Geophysical Research: Biogeosciences","publicationDate":"12/2014","auditedOn":"1/10/2015"},"contributors":{"authors":[{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":621494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Underwood, Jennifer C. jcunder@usgs.gov","contributorId":4680,"corporation":false,"usgs":true,"family":"Underwood","given":"Jennifer C.","email":"jcunder@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":621495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":621496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Song, Bongkeun","contributorId":167262,"corporation":false,"usgs":false,"family":"Song","given":"Bongkeun","email":"","affiliations":[{"id":24668,"text":"University of North Carolina, Wilmington","active":true,"usgs":false}],"preferred":false,"id":621497,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70168484,"text":"70168484 - 2014 - A multi-indicator framework for mapping cultural ecosystem services: The case of freshwater recreational fishing","interactions":[],"lastModifiedDate":"2016-02-17T10:14:18","indexId":"70168484","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"A multi-indicator framework for mapping cultural ecosystem services: The case of freshwater recreational fishing","docAbstract":"<p><span>Despite recent interest, ecosystem services are not yet fully incorporated into private and public decisions about natural resource management. Cultural ecosystem services (CES) are among the most challenging of services to include because they comprise complex ecological and social properties and processes that make them difficult to measure, map or monetize. Like others, CES are vulnerable to landscape changes and unsustainable use. To date, the sustainability of services has not been adequately addressed and few studies have considered measures of service capacity and demand simultaneously. To facilitate sustainability assessments and management of CES, our study objectives were to (1) develop a spatially explicit framework for mapping the capacity of ecosystems to provide freshwater recreational fishing, an important cultural service, (2) map societal demand for freshwater recreational fishing based on license data and identify areas of potential overuse, and (3) demonstrate how maps of relative capacity and relative demand could be interfaced to estimate sustainability of a CES. We mapped freshwater recreational fishing capacity at the 12-digit hydrologic unit-scale in North Carolina and Virginia using a multi-indicator service framework incorporating biophysical and social landscape metrics and mapped demand based on fishing license data. Mapping of capacity revealed a gradual decrease in capacity eastward from the mountains to the coastal plain and that fishing demand was greatest in urban areas. When comparing standardized relative measures of capacity and demand for freshwater recreational fishing, we found that ranks of capacity exceeded ranks of demand in most hydrologic units, except in 17% of North Carolina and 5% of Virginia. Our GIS-based approach to view freshwater recreational fishing through an ecosystem service lens will enable scientists and managers to examine (1) biophysical and social factors that foster or diminish cultural ecosystem services delivery, (2) demand for cultural ecosystem services relative to their capacity, and (3) ecological pressures like potential overuse that affect service sustainability. Ultimately, we expect such analyses to inform decision-making for freshwater recreational fisheries and other cultural ecosystem services.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2014.04.001","usgsCitation":"Villamagna, A., Mogollon, B., and Angermeier, P.L., 2014, A multi-indicator framework for mapping cultural ecosystem services: The case of freshwater recreational fishing: Ecological Indicators, v. 45, p. 255-265, https://doi.org/10.1016/j.ecolind.2014.04.001.","productDescription":"11 p.","startPage":"255","endPage":"265","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049121","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":318108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c5a7bce4b0946c6522500a","contributors":{"authors":[{"text":"Villamagna, Amy M.","contributorId":166683,"corporation":false,"usgs":false,"family":"Villamagna","given":"Amy M.","affiliations":[{"id":35056,"text":"Plymouth State University","active":true,"usgs":false}],"preferred":false,"id":620693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mogollon, Beatriz","contributorId":166682,"corporation":false,"usgs":false,"family":"Mogollon","given":"Beatriz","email":"","affiliations":[{"id":35590,"text":"USAID/USFS","active":true,"usgs":false}],"preferred":false,"id":620694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":620543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70168474,"text":"70168474 - 2014 - Redefining reproductive success in songbirds: Moving beyond the nest success paradigm","interactions":[],"lastModifiedDate":"2017-10-24T15:17:27","indexId":"70168474","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Redefining reproductive success in songbirds: Moving beyond the nest success paradigm","docAbstract":"<p><span>One of the most commonly estimated parameters in studies of songbird ecology is reproductive success, as a measure of either individual fitness or population productivity. Traditionally, the “success” in reproductive success refers to whether, or how many, nestlings leave nests. Here, we advocate that “reproductive success” in songbirds be redefined as full-season productivity, or&nbsp;</span><i>the number of young raised to independence from adult care</i><span>&nbsp;in a breeding season. A growing body of evidence demonstrates interdependence between nest success and fledgling survival, and emphasizes that data from either life stage alone can produce misleading measures of individual fitness and population productivity. Nest success, therefore, is an insufficient measure of reproductive success, and songbird ecology needs to progress beyond this long-standing paradigm. Full-season productivity, an evolutionarily rational measure of reproductive success, provides the framework for appropriately addressing unresolved questions about the adaptive significance of many breeding behaviors and within which effective breeding-grounds conservation and management can be designed.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-14-69.1","usgsCitation":"Streby, H.M., Refsnider, J.M., and Andersen, D., 2014, Redefining reproductive success in songbirds: Moving beyond the nest success paradigm: The Auk, v. 131, no. 4, p. 718-726, https://doi.org/10.1642/AUK-14-69.1.","productDescription":"9 p.","startPage":"718","endPage":"726","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055846","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472554,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1642/AUK-14-69.1","text":"External Repository"},{"id":318071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c45654e4b0946c652185ab","contributors":{"authors":[{"text":"Streby, Henry M.","contributorId":11024,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":620476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Refsnider, Jeanine M.","contributorId":166948,"corporation":false,"usgs":false,"family":"Refsnider","given":"Jeanine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":620477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":true,"id":620464,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173514,"text":"70173514 - 2014 - Estimating ages of white-tailed deer: Age and sex patterns of error using tooth wear-and-replacement and consistency of cementum annuli","interactions":[],"lastModifiedDate":"2016-06-16T13:16:33","indexId":"70173514","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Estimating ages of white-tailed deer: Age and sex patterns of error using tooth wear-and-replacement and consistency of cementum annuli","docAbstract":"<p><span>The age structure of harvested animals provides the basis for many demographic analyses. Ages of harvested white-tailed deer (</span><i>Odocoileus virginianus</i><span>) and other ungulates often are estimated by evaluating replacement and wear patterns of teeth, which is subjective and error-prone. Few previous studies however, examined age- and sex-specific error rates. Counting cementum annuli of incisors is an alternative, more accurate method of estimating age, but factors that influence consistency of cementum annuli counts are poorly known. We estimated age of 1,261 adult (&ge;1.5 yr old) white-tailed deer harvested in Wisconsin and Illinois (USA; 2005&ndash;2008) using both wear-and-replacement and cementum annuli. We compared cementum annuli with wear-and-replacement estimates to assess misclassification rates by sex and age. Wear-and-replacement for estimating ages of white-tailed deer resulted in substantial misclassification compared with cementum annuli. Age classes of females were consistently underestimated, while those of males were underestimated for younger age classes but overestimated for older age classes. Misclassification resulted in an impression of a younger age-structure than actually was the case. Additionally, we obtained paired age-estimates from cementum annuli for 295 deer. Consistency of paired cementum annuli age-estimates decreased with age, was lower in females than males, and decreased as age estimates became less certain. Our results indicated that errors in the wear-and-replacement techniques are substantial and could impact demographic analyses that use age-structure information.&nbsp;</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.457","usgsCitation":"Samuel, M.D., Storm, D.J., Rolley, R.E., Beissel, T., Richards, B.J., and Van Deelen, T.R., 2014, Estimating ages of white-tailed deer: Age and sex patterns of error using tooth wear-and-replacement and consistency of cementum annuli: Wildlife Society Bulletin, v. 38, no. 4, p. 849-856, https://doi.org/10.1002/wsb.457.","productDescription":"18 p.","startPage":"849","endPage":"856","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043108","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500038,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/2b549ba09503416e8dcacf047a322517","text":"External Repository"},{"id":323754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-28","publicationStatus":"PW","scienceBaseUri":"5763cdb4e4b07657d19ba769","chorus":{"doi":"10.1002/wsb.457","url":"http://dx.doi.org/10.1002/wsb.457","publisher":"Wiley-Blackwell","authors":"Storm Daniel J., Samuel Michael D., Rolley Robert E., Beissel Thomas, Richards Bryan J., Van Deelen Timothy R.","journalName":"Wildlife Society Bulletin","publicationDate":"10/28/2014","auditedOn":"11/30/2014"},"contributors":{"authors":[{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storm, Daniel J.","contributorId":171373,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":639359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rolley, Robert E.","contributorId":171376,"corporation":false,"usgs":false,"family":"Rolley","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":639360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beissel, Thomas","contributorId":172020,"corporation":false,"usgs":false,"family":"Beissel","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":639361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richards, Bryan J. 0000-0001-9955-2523 brichards@usgs.gov","orcid":"https://orcid.org/0000-0001-9955-2523","contributorId":3533,"corporation":false,"usgs":true,"family":"Richards","given":"Bryan","email":"brichards@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":639362,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Deelen, Timothy R.","contributorId":145413,"corporation":false,"usgs":false,"family":"Van Deelen","given":"Timothy","email":"","middleInitial":"R.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":639363,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70173649,"text":"70173649 - 2014 - Host heterogeneity influences the impact of a non-native disease invasion on populations of a foundation tree species","interactions":[],"lastModifiedDate":"2016-06-08T11:28:34","indexId":"70173649","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Host heterogeneity influences the impact of a non-native disease invasion on populations of a foundation tree species","docAbstract":"<p><span>Invasive pathogens are becoming increasingly important in forested ecosystems, yet they are often difficult to study because of their rapid transmission. The rate and extent of pathogen spread are thought to be partially controlled by variation in host characteristics, such as when host size and location influence susceptibility. Few host-pathogen systems, however, have been used to test this prediction. We used Port Orford cedar (</span><i>Chamaecyparis lawsoniana</i><span>), a foundation tree species in riparian areas of California and Oregon (USA), and the invasive oomycete&nbsp;</span><i>Phytophthora lateralis</i><span>&nbsp;to assess pathogen impacts and the role of host characteristics on invasion. Across three streams that had been infected for 13&ndash;18 years by&nbsp;</span><i>P. lateralis</i><span>, we mapped 2241 trees and determined whether they had been infected using dendrochronology. The infection probability of trees was governed by host size (diameter at breast height [DBH]) and geomorphic position (e.g., active channel, stream bank, floodplain, etc.) similarly across streams. For instance, only 23% of trees &lt;20 cm DBH were infected, while 69% of trees &ge;20 cm DBH were infected. Presumably, because spores of&nbsp;</span><i>P. lateralis</i><span>&nbsp;are transported downstream in water, they are more likely to encounter well-developed root systems of larger trees. Also because of this water-transport of spores, differences in infection probability were found across the geomorphic positions: 59% of cedar in the active channel and the stream bank (combined) were infected, while 23% of trees found on higher geomorphic types were infected. Overall, 32% of cedar had been infected across the three streams. However, 63% of the total cedar basal area had been killed, because the greatest number of trees, and the largest trees, were found in the most susceptible positions. In the active channel and stream bank, 91% of the basal area was infected, while 46% was infected across higher geomorphic positions. The invasion of Port Orford cedar populations by&nbsp;</span><i>P. lateralis</i><span>&nbsp;causes profound impacts to population structure and the invasion outcome will be governed by the heterogeneity found in host size and location. Models of disease invasion will require an understanding of how heterogeneity influences spread dynamics to adequately predict the outcome for host populations.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES14-00043.1","usgsCitation":"Jules, E.S., Carroll, A.L., Garcia, A.M., Steenbock, C.M., and Kauffman, M., 2014, Host heterogeneity influences the impact of a non-native disease invasion on populations of a foundation tree species: Ecosphere, v. 5, no. 9, p. 1-17, https://doi.org/10.1890/ES14-00043.1.","productDescription":"17 p.","startPage":"1","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051236","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472526,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00043.1","text":"Publisher Index Page"},{"id":323266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-19","publicationStatus":"PW","scienceBaseUri":"575941fce4b04f417c256890","contributors":{"authors":[{"text":"Jules, Erik S.","contributorId":13854,"corporation":false,"usgs":true,"family":"Jules","given":"Erik","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carroll, Allyson L.","contributorId":171539,"corporation":false,"usgs":false,"family":"Carroll","given":"Allyson","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":637888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia, Andrea M.","contributorId":171540,"corporation":false,"usgs":false,"family":"Garcia","given":"Andrea","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steenbock, Christopher M.","contributorId":171541,"corporation":false,"usgs":false,"family":"Steenbock","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew mkauffman@usgs.gov","contributorId":171443,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637455,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175376,"text":"70175376 - 2014 - Status of whitebarkpine in the Greater Yellowstone Ecosystem: A step-trend analysis comparing 2004-2007 to 2008-2011","interactions":[],"lastModifiedDate":"2016-10-13T13:44:24","indexId":"70175376","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":54,"text":"Natural Resource Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/GRYN/NRTR—2014/917","title":"Status of whitebarkpine in the Greater Yellowstone Ecosystem: A step-trend analysis comparing 2004-2007 to 2008-2011","docAbstract":"<p>Whitebark pine (Pinus albicaulis) is a foundation and keystone species in upper subalpine environments of the northern Rocky Mountains that strongly influences the biodiversity and productivity of high-elevation ecosystems (Tomback et al. 2001, Ellison et al. 2005). Throughout its historic range, whitebark pine has decreased significantly as a major component of high-elevation forests. As a result, it is critical to understand the challenges to whitebark pine—not only at the tree and stand level, but also as these factors influence the distribution of whitebark pine across the Greater Yellowstone Ecosystem (GYE). </p><p>In 2003, the National Park Service (NPS) Greater Yellowstone Inventory &amp; Monitoring Network identified whitebark pine as one of twelve significant natural resource indicators or vital signs to monitor (Jean et al. 2005, Fancy et al. 2009) and initiated a long-term, collaborative monitoring program. Partners in this effort include the U.S. Geological Survey, U.S. Forest Service, and Montana State University with representatives from each comprising the Greater Yellowstone Whitebark Pine Monitoring Working Group. The objectives of the monitoring program are to assess trends in (1) the proportion of live, whitebark pine trees (&gt;1.4-m tall) infected with white pine blister rust (blister rust); (2) to document blister rust infection severity by the occurrence and location of persisting and new infections; (3) to determine mortality of whitebark pine trees and describe potential factors contributing to the death of trees; and (4) to assess the multiple components of the recruitment of understory whitebark pine into the reproductive population. In this report we summarize the past eight years (2004-2011) of whitebark pine status and trend monitoring in the GYE. </p><p>Our study area encompasses six national forests (NF), two national parks (NP), as well as state and private lands in portions of Wyoming, Montana, and Idaho; this area is collectively described as the GYE here and in other studies. The sampling design is a probabilistic, twostage cluster design with stands of whitebark pine as the primary units and 10x50 m belt transects as the secondary units. Primary sampling units (stands) were selected randomly from a sample frame of approximately 10,770 mapped pure and mixed whitebark pine stands ≥2.0 hectares in the GYE (Dixon 1997, Landenburger 2012). From 2004 through 2007 (monitoring transect establishment or initial time-step), we established 176 permanent belt transects (secondary sampling units=176) in 150 whitebark pine stands and permanently marked approximately 4,740 individual trees &gt;1.4 m tall to monitor long-term changes in blister rust infection and survival rates. Between 2008 and 2011 (revisit time-step), these same 176 transects were surveyed and again all previously tagged trees were observed for changes in blister rust infection and survival status. </p><p>Objective 1. Using a combined ratio estimator, we estimated the proportion of live trees infected in the GYE in the initial time-step (2004-2007) to be 0.22 (0.031 SE). Following the completion of all surveys in the revisit time-step (2008-2011), we estimated the proportion of live trees infected with white pine blister rust as 0.23 (0.028 SE; Table 2). We detected no significant change in the proportion of trees infected in the GYE between the two time-steps. </p><p>Objective 2. We documented blister rust canker locations as occurring in the canopy or bole. We compared changes in canker position between the initial time-step (2004-2007) and the revisit time-step (2008-2011) in order to assess changes in infection severity. This analysis included the 3,795 trees tagged during the initial time-step that were located and documented as alive at the end of the revisit time-step. At the end of the revisit time-step, we found 1,217 trees infected with blister rust. This includes the 287 newly tagged trees in the revisit time step of which 14 had documented infections. Of these 1,217 trees, 780 trees were infected&nbsp;with blister rust in both time steps. Trees with only canopy cankers made up approximately 43% (519 trees) of the total number of trees infected with blister rust at the end of the revisit time-step, while trees with only bole cankers comprised 20% (252 trees), and those with both canopy and bole cankers included 37% (446 trees) of the infected sample. A bole infection is considered to be more consequential than a canopy canker, as it compromises not only the overall longevity of the tree, but its functional capacity for reproductive output as well (Kendall and Arno 1990, Campbell and Antos 2000, McDonald and Hoff 2001, Schwandt and Kegley 2004). In addition to infection location, we also documented infection transition between the canopy and bole. Of the 780 live trees that were infected with blister rust in both time-steps, approximately 31% (242) maintained canopy cankers and 36% (281) retained bole infections at the end of the revisit time-step. Infection transition from canopy to bole occurred in 30% (234) of the revisit time-step trees while 3% (23) transitioned from bole to canopy infections during this period. </p><p>Objective 3. To determine whitebark pine mortality, we resurveyed all belt transects to reassess the life status of permanently tagged trees &gt;1.4 m tall. We compared the total number of live tagged trees recorded during monitoring transect establishment to the total number of resurveyed dead tagged trees recorded during the revisit time-step and identified all potential mortality-influencing conditions (blister rust, mountain pine beetle, fire and other). By the end of the revisit time-step, we observed a total of 975 dead tagged whitebark pine trees; using a ratio estimator, this represents a loss of approximately 20% (SE=4.35%) of the original live tagged tree population (GYWPMWG 2012). </p><p>Objective 4. To investigate the proportion of live, reproducing tagged trees, we divided the total number of positively identified cone-bearing trees by the total number of live trees in the tagged tree sample at the end of the revisit time-step. To approximate the average density of recruitment trees per stand, trees ≤1.4 m tall were summed by stand (within the 500 m² transect area) and divided by the total number of stands. Reproducing trees made up approximately 24% (996 trees) of the total live tagged population at the end of the revisit time-step. Differentiating between whitebark pine and limber pine seedlings or saplings is problematic given the absence of cones or cone scars. Therefore, understory summaries as presented in this report may include individuals of both species when they are sympatric in a stand. The average density of small trees ≤1.4 m tall was 53 understory trees per 500 m². Raw counts of these understory individuals ranged from 0-635 small trees per belt transect. In addition, a total of 287 trees were added to the tagged tree population by the end of 2011. These newly tagged trees were individuals that upon subsequent revisits had reached a height of &gt;1.4 m tall and subsequently added to the sample. </p><p>Throughout the past decade in the GYE, monitoring has helped document shifts in whitebark pine forests; whitebark pine stands have been impacted by insect, pathogen, wildland fire, and other disturbance events. Blister rust infection is ubiquitous throughout the ecosystem and infection proportions are variable across the region. And while we have documented mortality of whitebark pine, we have also recorded considerable recruitment. We provide this first step-trend report as a quantifiable baseline for understanding the state of whitebark pine in the GYE. Many aspects of whitebark pine health are highly variable across the range of its distribution in the GYE. Through sustained implementation of the monitoring program, we will continue efforts to document and quantify whitebark pine forest dynamics as they arise under periodic upsurges in insect, pathogen, fire episodes, and climatic events in the GYE. Since its inception, this monitoring program perseveres as one of the only sustained longterm efforts conducted in the GYE with a singular purpose to track the health and status of this prominent keystone species.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Shanahan, E., Irvine, K.M., Roberts, D., Litt, A., Legg, K., Daley, R., and Chambers, N., 2014, Status of whitebarkpine in the Greater Yellowstone Ecosystem: A step-trend analysis comparing 2004-2007 to 2008-2011: Natural Resource Technical Report NPS/GRYN/NRTR—2014/917, viii, 27 p.","productDescription":"viii, 27 p.","numberOfPages":"40","ipdsId":"IP-059333","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":329537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329536,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/546852","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.477783203125,\n              42.147114459220994\n            ],\n            [\n              -113.477783203125,\n              45.92822950933618\n            ],\n            [\n              -108.56689453125,\n              45.92822950933618\n            ],\n            [\n              -108.56689453125,\n              42.147114459220994\n            ],\n            [\n              -113.477783203125,\n              42.147114459220994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ffdf00e4b0824b2d179cfe","contributors":{"authors":[{"text":"Shanahan, Erin","contributorId":173524,"corporation":false,"usgs":false,"family":"Shanahan","given":"Erin","affiliations":[{"id":27242,"text":"Greater Yellowstone Inventory and Monitoring Network, NPS","active":true,"usgs":false}],"preferred":false,"id":644972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Dave","contributorId":150673,"corporation":false,"usgs":false,"family":"Roberts","given":"Dave","email":"","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":644975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Litt, Andrea R.","contributorId":22226,"corporation":false,"usgs":true,"family":"Litt","given":"Andrea R.","affiliations":[],"preferred":false,"id":644976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Legg, Kristin","contributorId":146451,"corporation":false,"usgs":false,"family":"Legg","given":"Kristin","affiliations":[{"id":16697,"text":"National Park Service, Greater Yellowstone Network, 2327 University Way, Suite 2, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":644974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Daley, Rob","contributorId":173525,"corporation":false,"usgs":false,"family":"Daley","given":"Rob","affiliations":[{"id":27242,"text":"Greater Yellowstone Inventory and Monitoring Network, NPS","active":true,"usgs":false}],"preferred":false,"id":644973,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chambers, Nina","contributorId":173526,"corporation":false,"usgs":false,"family":"Chambers","given":"Nina","email":"","affiliations":[{"id":6761,"text":"Northern Rockies Conservation Cooperative, Jackson, Wyoming","active":true,"usgs":false}],"preferred":false,"id":644977,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70173647,"text":"70173647 - 2014 - Conserving migratory mule deer through the umbrella of sage-grouse","interactions":[],"lastModifiedDate":"2016-06-08T11:44:19","indexId":"70173647","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Conserving migratory mule deer through the umbrella of sage-grouse","docAbstract":"<p><span>Conserving migratory ungulates in increasingly human-dominated landscapes presents a difficult challenge to land managers and conservation practitioners. Nevertheless, ungulates may receive ancillary benefits from conservation actions designed to protect species of greater conservation priority where their ranges are sympatric. Greater Sage-Grouse (</span><i>Centrocerus urophasianus</i><span>), for example, have been proposed as an umbrella species for other sagebrush (</span><i><span class=\"genusSpeciesInfoAsset\">Artemesia</span></i><span>&nbsp;spp.)-dependent fauna. We examined a landscape where conservation efforts for sage-grouse overlap spatially with mule deer (</span><i>Odocoileus hemionus</i><span>) to determine whether sage-grouse conservation measures also might protect important mule deer migration routes and seasonal ranges. We conducted a spatial analysis to determine what proportion of migration routes, stopover areas, and winter ranges used by mule deer were located in areas managed for sage-grouse conservation. Conservation measures overlapped with 66&ndash;70% of migration corridors, 74&ndash;75% of stopovers, and 52&ndash;91% of wintering areas for two mule deer populations in the upper Green River Basin of Wyoming. Of those proportions, conservation actions targeted towards sage-grouse accounted for approximately half of the overlap in corridors and stopover areas, and nearly all overlap on winter ranges, indicating that sage-grouse conservation efforts represent an important step in conserving migratory mule deer. Conservation of migratory species presents unique challenges because although overlap with conserved lands may be high, connectivity of the entire route must be maintained as barriers to movement anywhere within the migration corridor could render it unviable. Where mule deer habitats overlap with sage-grouse core areas, our results indicate that increased protection is afforded to winter ranges and migration routes within the umbrella of sage-grouse conservation, but this protection is contingent on concentrated developments within core areas not intersecting with high-priority stopovers or corridors, and that the policy in turn does not encourage development on deer ranges outside of core areas. With the goal of protecting entire migration routes, our analysis highlights areas of potential conservation focus for mule deer, which are characterized by high exposure to residential development and use by a large proportion of migrating deer.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES14-00186.1","usgsCitation":"Copeland, H.E., Sawyer, H., Monteith, K.L., Naugle, D., Pocewicz, A., Graf, N., and Kauffman, M., 2014, Conserving migratory mule deer through the umbrella of sage-grouse: Ecosphere, v. 5, no. 9, p. 1-16, https://doi.org/10.1890/ES14-00186.1.","productDescription":"16 p.","startPage":"1","endPage":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057622","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472539,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00186.1","text":"Publisher Index Page"},{"id":323268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-29","publicationStatus":"PW","scienceBaseUri":"575941cbe4b04f417c2567dc","contributors":{"authors":[{"text":"Copeland, H. E.","contributorId":171544,"corporation":false,"usgs":false,"family":"Copeland","given":"H.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":637896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, H.","contributorId":59910,"corporation":false,"usgs":false,"family":"Sawyer","given":"H.","email":"","affiliations":[],"preferred":false,"id":637897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monteith, K. L.","contributorId":171545,"corporation":false,"usgs":false,"family":"Monteith","given":"K.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":637898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naugle, D.E.","contributorId":85289,"corporation":false,"usgs":true,"family":"Naugle","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":637899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pocewicz, Amy","contributorId":146680,"corporation":false,"usgs":false,"family":"Pocewicz","given":"Amy","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":637900,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graf, N.","contributorId":171546,"corporation":false,"usgs":false,"family":"Graf","given":"N.","email":"","affiliations":[],"preferred":false,"id":637901,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kauffman, Matthew mkauffman@usgs.gov","contributorId":171443,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637453,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70171568,"text":"70171568 - 2014 - Component geochronology in the polyphase ca. 3920 Ma Acasta Gneiss","interactions":[],"lastModifiedDate":"2016-06-06T10:15:17","indexId":"70171568","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Component geochronology in the polyphase ca. 3920 Ma Acasta Gneiss","docAbstract":"<p><span>The oldest compiled U&ndash;Pb zircon ages for the Acasta Gneiss Complex in the Northwest Territories of Canada span about 4050&ndash;3850&nbsp;Ma; yet older ca. 4200&nbsp;Ma xenocrystic U&ndash;Pb zircon ages have also been reported for this terrane. The AGC expresses at least 25&nbsp;km</span><sup>2</sup><span>&nbsp;of outcrop exposure, but only a small subset of this has been documented in the detail required to investigate a complex history and resolve disputes over emplacement ages. To better understand this history, we combined new ion microprobe</span><sup>235,238</sup><span>U&ndash;</span><sup>207,206</sup><span>Pb zircon geochronology with whole-rock and zircon rare earth element compositions ([REE]</span><sub>zirc</sub><span>), Ti-in-zircon thermometry (Ti</span><i><sup>xln</sup></i><span>) and&nbsp;</span><sup>147</sup><span>Sm&ndash;</span><sup>143</sup><span>Nd geochronology for an individual subdivided &sim;60&nbsp;cm</span><sup>2</sup><span>&nbsp;slab of Acasta banded gneiss comprising five separate lithologic components. Results were compared to other variably deformed granitoid-gneisses and plagioclase-hornblende rocks from elsewhere in the AGC. We show that different gneissic components carry distinct [Th/U]</span><sub>zirc</sub><span>&nbsp;vs. Ti</span><i><sup>xln</sup></i><span>&nbsp;and [REE]</span><sub>zirc</sub><span>&nbsp;signatures correlative with different zircon U&ndash;Pb age populations and WR compositions, but not with&nbsp;</span><sup>147</sup><span>Sm&ndash;</span><sup>143</sup><span>Nd isotope systematics. Modeled&nbsp;</span><span id=\"mmlsi1\" class=\"mathmlsrc\"><a class=\"mathImg\" title=\"View the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0016703714001161&amp;_mathId=si1.gif&amp;_user=111111111&amp;_pii=S0016703714001161&amp;_rdoc=1&amp;_issn=00167037&amp;md5=952b6338d4f7e2bdedb943877a975334\"><img class=\"imgLazyJSB inlineImage\" title=\"View the MathML source\" src=\"http://ars.els-cdn.com/content/image/1-s2.0-S0016703714001161-si1.gif\" alt=\"View the MathML source\" width=\"42\" height=\"20\" data-inlimgeid=\"1-s2.0-S0016703714001161-si1.gif\" data-loaded=\"true\" /></a></span><span>&nbsp;[REE] from lattice-strain theory reconciles only the ca. 3920&nbsp;Ma zircons with the oldest component that also preserves strong positive Eu</span><sup>&lowast;</sup><span>&nbsp;anomalies. Magmas which gave rise to the somewhat older (inherited) ca. 4020&nbsp;Ma AGC zircon age population formed at &sim;IW (iron&ndash;w&uuml;stite) to &lt;FMQ (fayalite&ndash;magnetite&ndash;quartz) oxygen fugacities. A ca. 3920&nbsp;Ma emplacement age for the AGC is contemporaneous with bombardment of the inner solar system. Analytical bombardment simulations show that crustal re-working from the impact epoch potentially affected the precursors to the Acasta gneisses.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2014.02.019","usgsCitation":"Mojzsis, S.J., Cates, N.L., Caro, G., Trail, D., Abramov, O., Guitreau, M., Blichert-Toft, J., Hopkins, M.D., and Bleeker, W., 2014, Component geochronology in the polyphase ca. 3920 Ma Acasta Gneiss: Geochimica et Cosmochimica Acta, v. 133, p. 68-96, https://doi.org/10.1016/j.gca.2014.02.019.","productDescription":"29 p.","startPage":"68","endPage":"96","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042683","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":322189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"133","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57569eafe4b023b96ec2841d","contributors":{"authors":[{"text":"Mojzsis, Stephen J.","contributorId":170043,"corporation":false,"usgs":false,"family":"Mojzsis","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":25657,"text":"Univ. of Colo., Dept. of Geological Sciences, NASA Lunar Science Institute, Center for Lunar Origin and Evolution (CLOE), Boulder, Colo.; Ecole Normale Superieure de Lyon & Universite Claude Bernard Lyon; Hungarian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":631839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cates, Nicole L.","contributorId":170044,"corporation":false,"usgs":false,"family":"Cates","given":"Nicole","email":"","middleInitial":"L.","affiliations":[{"id":25658,"text":"Department of Geological Sciences, NASA Lunar Science Institute Center for Lunar Origin and Evolution (CLOE), University of Colorado","active":true,"usgs":false}],"preferred":false,"id":631838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caro, Guillaume","contributorId":170045,"corporation":false,"usgs":false,"family":"Caro","given":"Guillaume","email":"","affiliations":[{"id":25659,"text":"Centre de Recherches Petrographiques et Geochimiques (CRPG), CNRS and Université de Lorraine","active":true,"usgs":false}],"preferred":false,"id":631840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trail, Dustin","contributorId":170047,"corporation":false,"usgs":false,"family":"Trail","given":"Dustin","email":"","affiliations":[{"id":25660,"text":"Department of Earth & Environmental Sciences and New York Center for Astrobiology, Rensselaer Polytechnic Institute, Troy, New York","active":true,"usgs":false}],"preferred":false,"id":631842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abramov, Oleg oabramov@usgs.gov","contributorId":604,"corporation":false,"usgs":true,"family":"Abramov","given":"Oleg","email":"oabramov@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":631837,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guitreau, Martin","contributorId":170048,"corporation":false,"usgs":false,"family":"Guitreau","given":"Martin","email":"","affiliations":[{"id":25661,"text":"Laboratoire de Géologie de Lyon, Ecole Normale Supérieure de Lyon and Université Claude Bernard Lyon","active":true,"usgs":false}],"preferred":false,"id":631843,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blichert-Toft, Janne","contributorId":170049,"corporation":false,"usgs":false,"family":"Blichert-Toft","given":"Janne","email":"","affiliations":[{"id":25661,"text":"Laboratoire de Géologie de Lyon, Ecole Normale Supérieure de Lyon and Université Claude Bernard Lyon","active":true,"usgs":false}],"preferred":false,"id":631844,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hopkins, Michelle D.","contributorId":170046,"corporation":false,"usgs":false,"family":"Hopkins","given":"Michelle","email":"","middleInitial":"D.","affiliations":[{"id":25658,"text":"Department of Geological Sciences, NASA Lunar Science Institute Center for Lunar Origin and Evolution (CLOE), University of Colorado","active":true,"usgs":false}],"preferred":false,"id":631841,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bleeker, Wouter","contributorId":170050,"corporation":false,"usgs":false,"family":"Bleeker","given":"Wouter","email":"","affiliations":[{"id":25662,"text":"Geological Survey of Canada, 601 Booth Street, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":631845,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70173755,"text":"70173755 - 2014 - Accounting for tagging-to-harvest mortality in a Brownie tag-recovery model by incorporating radio-telemetry data","interactions":[],"lastModifiedDate":"2016-06-08T16:23:27","indexId":"70173755","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for tagging-to-harvest mortality in a Brownie tag-recovery model by incorporating radio-telemetry data","docAbstract":"<p><span>The Brownie tag-recovery model is useful for estimating harvest rates but assumes all tagged individuals survive to the first hunting season; otherwise, mortality between time of tagging and the hunting season will cause the Brownie estimator to be negatively biased. Alternatively, fitting animals with radio transmitters can be used to accurately estimate harvest rate but may be more costly. We developed a joint model to estimate harvest and annual survival rates that combines known-fate data from animals fitted with transmitters to estimate the probability of surviving the period from capture to the first hunting season, and data from reward-tagged animals in a Brownie tag-recovery model. We evaluated bias and precision of the joint estimator, and how to optimally allocate effort between animals fitted with radio transmitters and inexpensive ear tags or leg bands. Tagging-to-harvest survival rates from &gt;20 individuals with radio transmitters combined with 50&ndash;100 reward tags resulted in an unbiased and precise estimator of harvest rates. In addition, the joint model can test whether transmitters affect an individual's probability of being harvested. We illustrate application of the model using data from wild turkey,&nbsp;</span><i>Meleagris gallapavo,</i><span>to estimate harvest rates, and data from white-tailed deer,&nbsp;</span><i>Odocoileus virginianus,</i><span>&nbsp;to evaluate whether the presence of a visible radio transmitter is related to the probability of a deer being harvested. The joint known-fate tag-recovery model eliminates the requirement to capture and mark animals immediately prior to the hunting season to obtain accurate and precise estimates of harvest rate. In addition, the joint model can assess whether marking animals with radio transmitters affects the individual's probability of being harvested, caused by hunter selectivity or changes in a marked animal's behavior.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.1025","usgsCitation":"Buderman, F.E., Diefenbach, D.R., Casalena, M.J., Rosenberry, C.S., and Wallingford, B.D., 2014, Accounting for tagging-to-harvest mortality in a Brownie tag-recovery model by incorporating radio-telemetry data: Ecology and Evolution, v. 4, no. 8, p. 1439-1450, https://doi.org/10.1002/ece3.1025.","productDescription":"12 p.","startPage":"1439","endPage":"1450","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045452","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1025","text":"Publisher Index Page"},{"id":323333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-24","publicationStatus":"PW","scienceBaseUri":"575941b6e4b04f417c256784","contributors":{"authors":[{"text":"Buderman, Frances E.","contributorId":171634,"corporation":false,"usgs":false,"family":"Buderman","given":"Frances","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":638140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casalena, Mary Jo","contributorId":98965,"corporation":false,"usgs":false,"family":"Casalena","given":"Mary","email":"","middleInitial":"Jo","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":638141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Christopher S.","contributorId":171633,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallingford, Bret D.","contributorId":171632,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638143,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173691,"text":"70173691 - 2014 - Legitimization of regulatory norms: Waterfowl hunter acceptance of changing duck bag limits","interactions":[],"lastModifiedDate":"2016-06-07T14:28:21","indexId":"70173691","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"Legitimization of regulatory norms: Waterfowl hunter acceptance of changing duck bag limits","docAbstract":"<p><span>Few studies have examined response to regulatory change over time, or addressed hunter attitudes about changes in hunting bag limits. This article explores Minnesota waterfowl hunters&rsquo; attitudes about duck bag limits, examining attitudes about two state duck bag limits that were initially more restrictive than the maximum set by the U.S. Fish and Wildlife Service (USFWS), but then increased to match federal limits. Results are from four mail surveys that examined attitudes about bag limits over time. Following two bag limit increases, a greater proportion of hunters rated the new bag limit &ldquo;too high&rdquo; and a smaller proportion rated it &ldquo;too low.&rdquo; Several years following the first bag limit increase, the proportion of hunters who indicated that the limit was &ldquo;too high&rdquo; had declined, suggesting hunter acceptance of the new regulation. Results suggest that waterfowl bag limits may represent legal norms that influence hunter attitudes and gain legitimacy over time.</span></p>","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/10871209.2014.883557","usgsCitation":"Schroeder, S., Fulton, D.C., Lawrence, J.S., and Cordts, S.D., 2014, Legitimization of regulatory norms: Waterfowl hunter acceptance of changing duck bag limits: Human Dimensions of Wildlife: An International Journal, v. 19, no. 3, p. 234-252, https://doi.org/10.1080/10871209.2014.883557.","productDescription":"19 p.","startPage":"234","endPage":"252","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044865","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-16","publicationStatus":"PW","scienceBaseUri":"5757f037e4b04f417c24dab3","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":637558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Jeffrey S.","contributorId":171470,"corporation":false,"usgs":false,"family":"Lawrence","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cordts, Steven D.","contributorId":171471,"corporation":false,"usgs":false,"family":"Cordts","given":"Steven","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":637560,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173690,"text":"70173690 - 2014 - What predicts support for antler point restrictions?","interactions":[],"lastModifiedDate":"2016-06-07T14:32:01","indexId":"70173690","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"What predicts support for antler point restrictions?","docAbstract":"<p><span>Although considerable research has focused on satisfaction with recreation experiences, limited work has examined factors related to regulatory support. In 2005, an antler point restriction (APR) regulation was introduced for hunting white-tailed deer (</span><i>Odocoileus virginianus</i><span>) in Minnesota&rsquo;s Itasca State Park. Hunter surveys were conducted following the 2005, 2006, 2007, and 2009 seasons. We modeled how (a) satisfaction with the deer seen, (b) type of deer pursued, (c) agency trust, and (d) years of deer-hunting experience, influenced support for the APR, and compared the model over the four survey years. Type of deer pursued and agency trust were the strongest predictors of APR support, followed by satisfaction with deer seen, and years of hunting experience. Hunters who targeted big bucks, had more trust in the agency, and expressed more satisfaction with deer seen in the field, were more supportive of the APR. Hunters who had more deer-hunting experience were less supportive.</span></p>","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/10871209.2014.915598","usgsCitation":"Schroeder, S., Cornicelli, L., Fulton, D.C., and Grund, M.D., 2014, What predicts support for antler point restrictions?: Human Dimensions of Wildlife: An International Journal, v. 19, no. 4, p. 301-318, https://doi.org/10.1080/10871209.2014.915598.","productDescription":"18 p.","startPage":"301","endPage":"318","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052833","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-08","publicationStatus":"PW","scienceBaseUri":"5757f066e4b04f417c24dd4a","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":637561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornicelli, Louis","contributorId":168400,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":637562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grund, Marrett D.","contributorId":171467,"corporation":false,"usgs":false,"family":"Grund","given":"Marrett","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":637563,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173700,"text":"70173700 - 2014 - Trap configuration and spacing influences parameter estimates in spatial capture-recapture models","interactions":[],"lastModifiedDate":"2016-06-07T13:55:38","indexId":"70173700","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Trap configuration and spacing influences parameter estimates in spatial capture-recapture models","docAbstract":"<p><span>An increasing number of studies employ spatial capture-recapture models to estimate population size, but there has been limited research on how different spatial sampling designs and trap configurations influence parameter estimators. Spatial capture-recapture models provide an advantage over non-spatial models by explicitly accounting for heterogeneous detection probabilities among individuals that arise due to the spatial organization of individuals relative to sampling devices. We simulated black bear (</span><i>Ursus americanus)</i><span>&nbsp;populations and spatial capture-recapture data to evaluate the influence of trap configuration and trap spacing on estimates of population size and a spatial scale parameter, sigma, that relates to home range size. We varied detection probability and home range size, and considered three trap configurations common to large-mammal mark-recapture studies: regular spacing, clustered, and a temporal sequence of different cluster configurations (i.e., trap relocation). We explored trap spacing and number of traps per cluster by varying the number of traps. The clustered arrangement performed well when detection rates were low, and provides for easier field implementation than the sequential trap arrangement. However, performance differences between trap configurations diminished as home range size increased. Our simulations suggest it is important to consider trap spacing relative to home range sizes, with traps ideally spaced no more than twice the spatial scale parameter. While spatial capture-recapture models can accommodate different sampling designs and still estimate parameters with accuracy and precision, our simulations demonstrate that aspects of sampling design, namely trap configuration and spacing, must consider study area size, ranges of individual movement, and home range sizes in the study population.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0088025","usgsCitation":"Sun, C.C., Fuller, A.K., and Royle, J., 2014, Trap configuration and spacing influences parameter estimates in spatial capture-recapture models: PLoS ONE, v. 9, no. 2, e88025; 9 p., https://doi.org/10.1371/journal.pone.0088025.","productDescription":"e88025; 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049687","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0088025","text":"Publisher Index Page"},{"id":323113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":323105,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://dx.doi.org/10.1371/journal.pone.0141634","text":"Correction: October 23, 2015"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-05","publicationStatus":"PW","scienceBaseUri":"5757f065e4b04f417c24dd36","contributors":{"authors":[{"text":"Sun, Catherine C.","contributorId":70274,"corporation":false,"usgs":false,"family":"Sun","given":"Catherine","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":637547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":637526,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173558,"text":"70173558 - 2014 - Influence of habitat characteristics on shore-spawning kokanee","interactions":[],"lastModifiedDate":"2016-06-13T15:51:38","indexId":"70173558","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Influence of habitat characteristics on shore-spawning kokanee","docAbstract":"<p><span>Sockeye Salmon&nbsp;</span><i>Oncorhynchus nerka</i><span>&nbsp;and kokanee (lacustrine Sockeye Salmon) commonly spawn in both lentic and lotic environments; however, the habitat requirements of shore spawners are virtually unknown relative to those of stream spawners. A laboratory experiment and an in situ incubation study were conducted to better understand the influence of habitat characteristics on the shoreline incubation success of kokanee. The laboratory experiment assessed kokanee intragravel survival, fry emergence, and fry condition in response to eight substrate treatments. The in situ study, conducted at three major shoreline spawning sites in Lake Pend Oreille, Idaho, evaluated the effect of depth, substrate composition, dissolved oxygen, shoreline slope, and groundwater on intragravel survival. Substrate size composition was generally a poor predictor of survival in both the laboratory experiment and in situ study; although, fry condition and counts of emerged fry in the laboratory were lowest for the substrate treatment that had the highest proportion of fine sediment. Results of the in situ study suggest that groundwater flow plays an important role in enhancing intragravel survival in habitats generally considered unsuitable for spawning.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2014.931302","usgsCitation":"Whitlock, S.L., Quist, M.C., and Dux, A., 2014, Influence of habitat characteristics on shore-spawning kokanee: Transactions of the American Fisheries Society, v. 143, no. 6, p. 1404-1418, https://doi.org/10.1080/00028487.2014.931302.","productDescription":"15 p.","startPage":"1404","endPage":"1418","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051573","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-30","publicationStatus":"PW","scienceBaseUri":"575fd92ee4b04f417c2baa31","contributors":{"authors":[{"text":"Whitlock, Steven L.","contributorId":171705,"corporation":false,"usgs":false,"family":"Whitlock","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dux, Andrew M.","contributorId":73491,"corporation":false,"usgs":true,"family":"Dux","given":"Andrew M.","affiliations":[],"preferred":false,"id":638614,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173492,"text":"70173492 - 2014 - Red-cockaded Woodpecker Picoides borealis Microhabitat Characteristics and Reproductive Success in a Loblolly-Shortleaf Pine Forest","interactions":[],"lastModifiedDate":"2016-06-20T12:37:11","indexId":"70173492","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5090,"text":"The Open Ornithology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Red-cockaded Woodpecker Picoides borealis Microhabitat Characteristics and Reproductive Success in a Loblolly-Shortleaf Pine Forest","docAbstract":"<p><span>We investigated the relationship between red-cockaded woodpecker (</span><i>Picoides borealis</i><span>) reproductive success and microhabitat characteristics in a southeastern loblolly (Pinus taeda) and shortleaf (P. echinata) pine forest. From 1997 to 1999, we recorded reproductive success parameters of 41 red-cockaded woodpecker groups at the Bienville National Forest, Mississippi. Microhabitat characteristics were measured for each group during the nesting season. Logistic regression identified understory vegetation height and small nesting season home range size as predictors of red-cockaded woodpecker nest attempts. Linear regression models identified several variables as predictors of red-cockaded woodpecker reproductive success including group density, reduced hardwood component, small nesting season home range size, and shorter foraging distances. Red-cockaded woodpecker reproductive success was correlated with habitat and behavioral characteristics that emphasize high quality habitat. By providing high quality foraging habitat during the nesting season, red-cockaded woodpeckers can successfully reproduce within small home ranges.</span></p>","conferenceTitle":"Bentham Open","language":"English","doi":"10.2174/1874453201407010049","usgsCitation":"Wood, D.R., Burger, L.W., and Vilella, F., 2014, Red-cockaded Woodpecker Picoides borealis Microhabitat Characteristics and Reproductive Success in a Loblolly-Shortleaf Pine Forest: The Open Ornithology Journal, v. 7, p. 49-54, https://doi.org/10.2174/1874453201407010049.","productDescription":"6 p.","startPage":"49","endPage":"54","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056883","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472536,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2174/1874453201407010049","text":"Publisher Index Page"},{"id":323994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913e5e4b07657d19ff249","contributors":{"authors":[{"text":"Wood, Douglas R.","contributorId":172166,"corporation":false,"usgs":false,"family":"Wood","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":639798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burger, L. Wesley Jr.","contributorId":172167,"corporation":false,"usgs":false,"family":"Burger","given":"L.","suffix":"Jr.","email":"","middleInitial":"Wesley","affiliations":[],"preferred":false,"id":639799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vilella, Francisco 0000-0003-1552-9989 fvilella@usgs.gov","orcid":"https://orcid.org/0000-0003-1552-9989","contributorId":171363,"corporation":false,"usgs":true,"family":"Vilella","given":"Francisco","email":"fvilella@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637194,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173754,"text":"70173754 - 2014 - Effect of hunter selectivity on harvest rates of radio-collared white-tailed deer in Pennsylvania","interactions":[],"lastModifiedDate":"2016-08-10T21:10:09","indexId":"70173754","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","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":"Effect of hunter selectivity on harvest rates of radio-collared white-tailed deer in Pennsylvania","docAbstract":"<p><span>Radio transmitters are a commonly used tool for monitoring the fates of harvested species, although little research has been devoted to whether a visible radio transmitter changes a hunters' willingness to harvest that animal. We initially surveyed deer hunters to assess their willingness to harvest radio-collared deer and predicted radio collars were unlikely to affect the harvest of antlerless deer, but hunters may be less willing to harvest small-antlered males with radio collars compared to large-antlered males. We fitted white-tailed deer (</span><i>Odocoileus virginianus</i><span>) with radio collars that were visible to hunters or with ear-tag transmitters or ear-tags that were difficult to detect visually and estimated if harvest rates differed among marking methods. For females, the best model failed to detect an effect of radio collars on harvest rates. Also, we failed to detect a difference between male deer fitted with radio collars and ear-tag transmitters. When we compared males fitted with radio collars versus ear tags, we found harvest rate patterns were opposite to our predictions, with lower harvest rates for adult males fitted with radio collars and higher harvest rates for yearling males fitted with radio collars. Our study suggests that harvest rate estimates generated from a sample of deer fitted with visible radio collars can be representative of the population of inference.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.779","usgsCitation":"Buderman, F.E., Diefenbach, D.R., Rosenberry, C., Wallingford, B.D., and Long, E.S., 2014, Effect of hunter selectivity on harvest rates of radio-collared white-tailed deer in Pennsylvania: Journal of Wildlife Management, v. 78, no. 8, p. 1456-1465, https://doi.org/10.1002/jwmg.779.","productDescription":"10 p.","startPage":"1456","endPage":"1465","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052595","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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C.S.","contributorId":22884,"corporation":false,"usgs":true,"family":"Rosenberry","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":638215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallingford, Bret D.","contributorId":171632,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Long, Eric S.","contributorId":171652,"corporation":false,"usgs":false,"family":"Long","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638217,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173686,"text":"70173686 - 2014 - Does age matter? The influence of age on response rates in a mixed-mode survey","interactions":[],"lastModifiedDate":"2016-06-07T14:51:21","indexId":"70173686","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"Does age matter? The influence of age on response rates in a mixed-mode survey","docAbstract":"<p><span>The appeal of cost savings and faster results has fish and wildlife management agencies considering the use of Internet surveys instead of traditional mail surveys to collect information from their constituents. Internet surveys, however, may suffer from differential age-related response rates, potentially producing biased results if certain age groups respond to Internet surveys differently than they do to mail surveys. We examined this concern using data from a mixed-mode angler survey conducted in South Dakota following the 2011 fishing season. Results indicated that young anglers (16&ndash;18) had the lowest return rates and senior anglers (65+) had the highest, regardless of survey mode. Despite this consistency in response rates, we note two concerns: (a) lower Internet response rates and (b) different age groups represented by the Internet and mail survey samples differed dramatically. Findings indicate that constituent groups may be represented differently with the use of various survey modes.</span></p>","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/10871209.2014.880137","usgsCitation":"Gigliotti, L.M., and Dietsch, A., 2014, Does age matter? The influence of age on response rates in a mixed-mode survey: Human Dimensions of Wildlife: An International Journal, v. 19, no. 3, p. 280-287, https://doi.org/10.1080/10871209.2014.880137.","productDescription":"8 p.","startPage":"280","endPage":"287","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041985","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-16","publicationStatus":"PW","scienceBaseUri":"5757f032e4b04f417c24da4d","contributors":{"authors":[{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietsch, Alia dietscha@usgs.gov","contributorId":4467,"corporation":false,"usgs":true,"family":"Dietsch","given":"Alia","email":"dietscha@usgs.gov","affiliations":[],"preferred":true,"id":637578,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173639,"text":"70173639 - 2014 - Re-evaluating neonatal-age models for ungulates: Does model choice affect survival estimates?","interactions":[],"lastModifiedDate":"2016-06-08T11:13:20","indexId":"70173639","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Re-evaluating neonatal-age models for ungulates: Does model choice affect survival estimates?","docAbstract":"<p><span>New-hoof growth is regarded as the most reliable metric for predicting age of newborn ungulates, but variation in estimated age among hoof-growth equations that have been developed may affect estimates of survival in staggered-entry models. We used known-age newborns to evaluate variation in age estimates among existing hoof-growth equations and to determine the consequences of that variation on survival estimates. During 2001&ndash;2009, we captured and radiocollared 174 newborn (&le;24-hrs old) ungulates: 76 white-tailed deer (</span><i>Odocoileus virginianus</i><span>) in Minnesota and South Dakota, 61 mule deer (</span><i>O. hemionus</i><span>) in California, and 37 pronghorn (</span><i>Antilocapra americana</i><span>) in South Dakota. Estimated age of known-age newborns differed among hoof-growth models and varied by &gt;15 days for white-tailed deer, &gt;20 days for mule deer, and &gt;10 days for pronghorn. Accuracy (i.e., the proportion of neonates assigned to the correct age) in aging newborns using published equations ranged from 0.0% to 39.4% in white-tailed deer, 0.0% to 3.3% in mule deer, and was 0.0% for pronghorns. Results of survival modeling indicated that variability in estimates of age-at-capture affected short-term estimates of survival (i.e., 30 days) for white-tailed deer and mule deer, and survival estimates over a longer time frame (i.e., 120 days) for mule deer. Conversely, survival estimates for pronghorn were not affected by estimates of age. Our analyses indicate that modeling survival in daily intervals is too fine a temporal scale when age-at-capture is unknown given the potential inaccuracies among equations used to estimate age of neonates. Instead, weekly survival intervals are more appropriate because most models accurately predicted ages within 1 week of the known age. Variation among results of neonatal-age models on short- and long-term estimates of survival for known-age young emphasizes the importance of selecting an appropriate hoof-growth equation and appropriately defining intervals (i.e., weekly versus daily) for estimating survival.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0108797","usgsCitation":"Grovenburg, T.W., Monteith, K.L., Jacques, C.N., Klaver, R.W., DePerno, C.S., Brinkman, T.J., Monteith, K.B., Gilbert, S.L., Smith, J.B., Bleich, V.C., Swanson, C., and Jenks, J., 2014, Re-evaluating neonatal-age models for ungulates: Does model choice affect survival estimates?: PLoS ONE, v. 9, no. 9, e108797; 12 p., https://doi.org/10.1371/journal.pone.0108797.","productDescription":"e108797; 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049674","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472540,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0108797","text":"Publisher Index Page"},{"id":323262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-29","publicationStatus":"PW","scienceBaseUri":"57594229e4b04f417c25695a","contributors":{"authors":[{"text":"Grovenburg, Troy W.","contributorId":57712,"corporation":false,"usgs":true,"family":"Grovenburg","given":"Troy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":637867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monteith, Kevin L.","contributorId":83400,"corporation":false,"usgs":true,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":637868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacques, Christopher N.","contributorId":15521,"corporation":false,"usgs":true,"family":"Jacques","given":"Christopher","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":637869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DePerno, Christopher S.","contributorId":10327,"corporation":false,"usgs":true,"family":"DePerno","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637870,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brinkman, Todd J.","contributorId":39696,"corporation":false,"usgs":true,"family":"Brinkman","given":"Todd","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":637871,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monteith, Kyle B.","contributorId":141463,"corporation":false,"usgs":false,"family":"Monteith","given":"Kyle","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":637872,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gilbert, Sophie L.","contributorId":171535,"corporation":false,"usgs":false,"family":"Gilbert","given":"Sophie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":637873,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Joshua B.","contributorId":71883,"corporation":false,"usgs":true,"family":"Smith","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":637874,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bleich, Vernon C.","contributorId":10293,"corporation":false,"usgs":true,"family":"Bleich","given":"Vernon","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":637875,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Swanson, Christopher C.","contributorId":58505,"corporation":false,"usgs":true,"family":"Swanson","given":"Christopher C.","affiliations":[],"preferred":false,"id":637876,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":637877,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70173737,"text":"70173737 - 2014 - Late winter and early spring home range and habitat use of the endangered Carolina northern flying squirrel in western North Carolina","interactions":[],"lastModifiedDate":"2016-07-18T21:40:11","indexId":"70173737","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Late winter and early spring home range and habitat use of the endangered Carolina northern flying squirrel in western North Carolina","docAbstract":"<p><span>The Carolina northern flying squirrel&nbsp;</span><i>Glaucomys sabrinus coloratus</i><span>&nbsp;is an endangered subspecies that is restricted to high elevation forests in the southern Appalachian Mountains. Owing to rugged terrain and nocturnal habits, the subspecies&rsquo; natural history, home range characteristics and habitat preferences are poorly known. We radio-tracked 3 female and 2 male Carolina northern flying squirrels during late winter through spring 2012 in the Pisgah National Forest, North Carolina, USA. Tracked squirrels used 13 yellow birch&nbsp;</span><i>Betula alleghaniensis</i><span>&nbsp;and 9 red spruce&nbsp;</span><i>Picea rubens</i><span>&nbsp;as diurnal dens. Ten of the yellow birch dens were in cavities, whereas the remainders were dreys. Conversely, 8 of the red spruce dens were dreys and one was in a cavity. Mean (&plusmn;SE) female 95 and 50% adaptive kernel home ranges were 6.50 &plusmn; 2.19 and 0.93 &plusmn; 0.33 ha, respectively, whereas the corresponding values for males were 12.6 &plusmn; 0.9 and 1.45 &plusmn; 0.1 ha, respectively. Squirrels used red spruce stands with canopies &gt;20 m more than expected based on availability at the landscape and home range scales. Results should be interpreted cautiously because of small sample sizes and seasonal observations; however, they provide evidence that although northern hardwoods such as yellow birch are an important den habitat component, mature red spruce-dominated habitats with complex structure provide foraging habitats and are also den habitat. Our findings support efforts to improve the structural condition of extant red spruce forests and/or increase red spruce acreage to potentially benefit Carolina northern flying squirrels.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00561","usgsCitation":"Ford, W.M., Kelly, C.A., Rodrigue, J.L., Odom, R.H., Newcomb, D., Gilley, L.M., and Diggins, C.A., 2014, Late winter and early spring home range and habitat use of the endangered Carolina northern flying squirrel in western North Carolina: Endangered Species Research, v. 23, no. 1, p. 73-82, https://doi.org/10.3354/esr00561.","productDescription":"10 p.","startPage":"73","endPage":"82","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046139","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472538,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00561","text":"Publisher Index Page"},{"id":323397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Middle Prong Wilderness, Pisgah National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.02436828613281,\n              35.25459097465022\n            ],\n            [\n              -83.02436828613281,\n              35.41311690821499\n            ],\n            [\n              -82.8533935546875,\n              35.41311690821499\n            ],\n            [\n              -82.8533935546875,\n              35.25459097465022\n            ],\n            [\n              -83.02436828613281,\n              35.25459097465022\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9333e4b04f417c275164","contributors":{"authors":[{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":638029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Christine A.","contributorId":171661,"corporation":false,"usgs":false,"family":"Kelly","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":35598,"text":"North Carolina Wildlife Resources Commission ","active":true,"usgs":false}],"preferred":false,"id":638258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodrigue, Jane L.","contributorId":150352,"corporation":false,"usgs":false,"family":"Rodrigue","given":"Jane","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Odom, Richard H.","contributorId":171659,"corporation":false,"usgs":false,"family":"Odom","given":"Richard","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":638260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newcomb, Douglas","contributorId":171669,"corporation":false,"usgs":false,"family":"Newcomb","given":"Douglas","email":"","affiliations":[],"preferred":false,"id":638261,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gilley, L. Michelle","contributorId":171670,"corporation":false,"usgs":false,"family":"Gilley","given":"L.","email":"","middleInitial":"Michelle","affiliations":[{"id":35652,"text":"Mars Hill University, Mars Hill, NC","active":true,"usgs":false}],"preferred":false,"id":638262,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diggins, Corinne A.","contributorId":171667,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","email":"","middleInitial":"A.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":638263,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70173759,"text":"70173759 - 2014 - Using urban forest assessment tools to model bird habitat potential","interactions":[],"lastModifiedDate":"2016-06-08T14:47:20","indexId":"70173759","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Using urban forest assessment tools to model bird habitat potential","docAbstract":"<p><span>The alteration of forest cover and the replacement of native vegetation with buildings, roads, exotic vegetation, and other urban features pose one of the greatest threats to global biodiversity. As more land becomes slated for urban development, identifying effective urban forest wildlife management tools becomes paramount to ensure the urban forest provides habitat to sustain bird and other wildlife populations. The primary goal of this study was to integrate wildlife suitability indices to an existing national urban forest assessment tool, i-Tree. We quantified available habitat characteristics of urban forests for ten northeastern U.S. cities, and summarized bird habitat relationships from the literature in terms of variables that were represented in the i-Tree datasets. With these data, we generated habitat suitability equations for nine bird species representing a range of life history traits and conservation status that predicts the habitat suitability based on i-Tree data. We applied these equations to the urban forest datasets to calculate the overall habitat suitability for each city and the habitat suitability for different types of land-use (e.g., residential, commercial, parkland) for each bird species. The proposed habitat models will help guide wildlife managers, urban planners, and landscape designers who require specific information such as desirable habitat conditions within an urban management project to help improve the suitability of urban forests for birds.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2013.10.006","usgsCitation":"Lerman, S.B., Nislow, K.H., Nowak, D., DeStefano, S., King, D.I., and Jones-Farrand, D., 2014, Using urban forest assessment tools to model bird habitat potential: Landscape and Urban Planning, v. 122, p. 29-40, https://doi.org/10.1016/j.landurbplan.2013.10.006.","productDescription":"12 p.","startPage":"29","endPage":"40","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043798","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472548,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2013.10.006","text":"Publisher Index Page"},{"id":323301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57594238e4b04f417c2569e9","contributors":{"authors":[{"text":"Lerman, Susannah B.","contributorId":171615,"corporation":false,"usgs":false,"family":"Lerman","given":"Susannah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nislow, Keith H.","contributorId":103564,"corporation":false,"usgs":true,"family":"Nislow","given":"Keith","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":638103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowak, David J.","contributorId":171616,"corporation":false,"usgs":false,"family":"Nowak","given":"David J.","affiliations":[],"preferred":false,"id":638104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":638071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, David I.","contributorId":34390,"corporation":false,"usgs":false,"family":"King","given":"David","email":"","middleInitial":"I.","affiliations":[{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false},{"id":18918,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA, 01003, USA","active":true,"usgs":false}],"preferred":false,"id":638105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones-Farrand, D. Todd","contributorId":54713,"corporation":false,"usgs":true,"family":"Jones-Farrand","given":"D. Todd","affiliations":[],"preferred":false,"id":638106,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70174179,"text":"70174179 - 2014 - Contaminants of legacy and emerging concern in largescale suckers (Catostomus macrocheilus) and the foodweb in the lower Columbia River, Oregon and Washington, USA","interactions":[],"lastModifiedDate":"2018-09-14T16:07:58","indexId":"70174179","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Contaminants of legacy and emerging concern in largescale suckers (Catostomus macrocheilus) and the foodweb in the lower Columbia River, Oregon and Washington, USA","docAbstract":"<p><span>We investigated occurrence, transport pathways, and effects of polybrominated diphenyl ether (PBDE) flame retardants and other endocrine disrupting chemicals (EDCs) in aquatic media and the foodweb in the lower Columbia River. In 2009 and 2010, foodweb sampling at three sites along a gradient of contaminant exposure near Skamania (Washington), Columbia City (Oregon) and Longview (Washington) included water (via passive samplers), bed sediment, invertebrate biomass residing in sediment, a resident fish species (largescale suckers [</span><i>Catostomus macrocheilus</i><span>]), and eggs from osprey (</span><i>Pandion haliaetus</i><span>). This paper primarily reports fish tissue concentrations. In 2009, composites of fish brain, fillet, liver, stomach, and gonad tissues revealed that overall contaminant concentrations were highest in livers, followed by brain, stomach, gonad, and fillet. Concentrations of halogenated compounds in tissue samples from all three sites ranged from &lt;&nbsp;1 to 400&nbsp;nanograms per gram of wet tissue. Several chemical classes, including PBDEs, organochlorine pesticides, and polychlorinated biphenyls (PCBs), were detected at all sites and in nearly all fish tissues sampled. In 2010, only fish livers were sampled and inter-site concentration differences were not as pronounced as in 2009. Chemical concentrations in sediments, fish tissues, and osprey eggs increased moving downstream from Skamania to the urbanized sites near Columbia City and Longview. Numerous organochlorine (OC) pesticides, both banned and currently used, and PBDEs, were present at each site in multiple media and concentrations exceeded environmental quality benchmarks in some cases. Frequently detected OC compounds included hexachlorobenzene, pentachloroanisole, dichlorodiphenyltrichloroethane (DDT) and its degradates, chlorpyrifos, and oxyfluorofen. Biomagnification of BDE47, 100, 153, and 154 occurred in largescale suckers and osprey eggs. Results support the hypothesis that contaminants in the environment lead to bioaccumulation and potential negative effects in multiple levels of the foodweb.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.04.012","usgsCitation":"Nilsen, E.B., Zaugg, S.D., Alvarez, D.A., Morace, J.L., Waite, I.R., Counihan, T.D., Hardiman, J.M., Torres, L., Patino, R., Mesa, M.G., and Grove, R., 2014, Contaminants of legacy and emerging concern in largescale suckers (Catostomus macrocheilus) and the foodweb in the lower Columbia River, Oregon and Washington, USA: Science of the Total Environment, v. 484, p. 344-352, https://doi.org/10.1016/j.scitotenv.2013.04.012.","productDescription":"9 p.","startPage":"344","endPage":"352","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044063","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472527,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.escholarship.org/uc/item/7g9936pw","text":"External Repository"},{"id":324543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.15673828124999,\n              44.91813929958515\n            ],\n            [\n              -123.15673828124999,\n              46.46813299215554\n            ],\n            [\n              -121.11328124999999,\n              46.46813299215554\n            ],\n            [\n              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0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":641090,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Torres, Leticia","contributorId":143738,"corporation":false,"usgs":false,"family":"Torres","given":"Leticia","email":"","affiliations":[],"preferred":false,"id":641091,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":641092,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":641093,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grove, Robert","contributorId":172512,"corporation":false,"usgs":true,"family":"Grove","given":"Robert","affiliations":[],"preferred":false,"id":641094,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70173735,"text":"70173735 - 2014 - Developing a topographic model to predict the northern hardwood forest type within Carolina northern flying squirrel (<i>Glaucomys sabrinus coloratus</i>) recovery areas of the southern Appalachians","interactions":[],"lastModifiedDate":"2016-07-18T21:42:18","indexId":"70173735","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2043,"text":"International Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"title":"Developing a topographic model to predict the northern hardwood forest type within Carolina northern flying squirrel (<i>Glaucomys sabrinus coloratus</i>) recovery areas of the southern Appalachians","docAbstract":"<p>The northern hardwood forest type is an important habitat component for the endangered Carolina northern flying squirrel (CNFS;<i> Glaucomys sabrinus coloratus</i>) for den sites and corridor habitats between boreo-montane conifer patches foraging areas. Our study related terrain data to presence of northern hardwood forest type in the recovery areas of CNFS in the southern Appalachian Mountains of western North Carolina, eastern Tennessee, and southwestern Virginia. We recorded overstory species composition and terrain variables at 338 points, to construct a robust, spatially predictive model. Terrain variables analyzed included elevation, aspect, slope gradient, site curvature, and topographic exposure. We used an information-theoretic approach to assess seven models based on associations noted in existing literature as well as an inclusive global model. Our results indicate that, on a regional scale, elevation, aspect, and topographic exposure index (TEI) are significant predictors of the presence of the northern hardwood forest type in the southern Appalachians. Our elevation + TEI model was the best approximating model (the lowest AICc score) for predicting northern hardwood forest type correctly classifying approximately 78% of our sample points. We then used these data to create region-wide predictive maps of the distribution of the northern hardwood forest type within CNFS recovery areas.</p>","language":"English","publisher":"Hindawi Publishing Corporation","doi":"10.1155/2014/179415","usgsCitation":"Evans, A., Odom, R.H., Resler, L.M., Ford, W.M., and Prisley, S., 2014, Developing a topographic model to predict the northern hardwood forest type within Carolina northern flying squirrel (<i>Glaucomys sabrinus coloratus</i>) recovery areas of the southern Appalachians: International Journal of Forestry Research, v. 2014, Article 179415; 11 p., https://doi.org/10.1155/2014/179415.","productDescription":"Article 179415; 11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056035","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472544,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2014/179415","text":"Publisher Index Page"},{"id":323403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.166259765625,\n              35.23664622093195\n            ],\n            [\n              -84.1607666015625,\n              34.9805024453652\n            ],\n            [\n              -83.0950927734375,\n              34.99850370014629\n            ],\n            [\n              -82.28759765625,\n              35.523285179107816\n            ],\n            [\n              -81.49108886718749,\n              36.25313319699069\n            ],\n            [\n              -81.331787109375,\n              36.712467243386264\n            ],\n            [\n              -81.617431640625,\n              36.760891249565624\n            ],\n            [\n              -82.1173095703125,\n              36.19109202182454\n            ],\n            [\n              -84.078369140625,\n              35.4159149234562\n            ],\n            [\n              -84.166259765625,\n              35.23664622093195\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2014","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9330e4b04f417c275133","chorus":{"doi":"10.1155/2014/179415","url":"http://dx.doi.org/10.1155/2014/179415","publisher":"Hindawi Publishing Corporation","authors":"Evans Andrew, Odom Richard, Resler Lynn, Ford W. Mark, Prisley Steve","journalName":"International Journal of Forestry Research","publicationDate":"2014","auditedOn":"11/17/2014","publiclyAccessibleDate":"1/1/2014"},"contributors":{"authors":[{"text":"Evans, Andrew","contributorId":171675,"corporation":false,"usgs":false,"family":"Evans","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":638272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Odom, Richard H.","contributorId":171659,"corporation":false,"usgs":false,"family":"Odom","given":"Richard","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":638273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Resler, Lynn M.","contributorId":74215,"corporation":false,"usgs":true,"family":"Resler","given":"Lynn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. 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,{"id":70173734,"text":"70173734 - 2014 - Space use and resource selection by foraging Indiana bats at the northern edge of their distribution","interactions":[],"lastModifiedDate":"2016-06-09T14:59:50","indexId":"70173734","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Space use and resource selection by foraging Indiana bats at the northern edge of their distribution","docAbstract":"<p><span>Despite 4 decades of conservation concern, managing endangered Indiana bat (</span><i>Myotis sodalis</i><span>) populations remains a difficult wildlife resource issue facing natural resource managers in the eastern United States. After small signs of population recovery, the recent emergence of white-nose syndrome has led to concerns of local and/or regional extirpation of the species. Where Indiana bats persist, retaining high-quality foraging areas will be critical to meet physiological needs and ensure successful recruitment and overwinter survival. However, insight into foraging behavior has been lacking in the Northeast of the USA. We radio-tracked 12 Indiana bats over 2 summers at Fort Drum, New York, to evaluate factors influencing Indiana bat resource selection during night-time foraging. We found that foraging space use decreased 2% for every 100 m increase in distance to water and 6% for every 100 m away from the forest edge. This suggests high use of riparian areas in close proximity to forest and is somewhat consistent with the species&rsquo; foraging ecology in the Midwest and upper South. Given the importance of providing access to high-quality foraging areas during the summer maternity season, Indiana bat conservation at the northern extent of the species&rsquo; range will be linked to retention of forested habitat in close proximity to riparian zones.&nbsp;</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00594","usgsCitation":"Jachowski, D.S., Johnson, J.B., Dobony, C.A., Edwards, J.W., and Ford, W.M., 2014, Space use and resource selection by foraging Indiana bats at the northern edge of their distribution: Endangered Species Research, v. 24, no. 2, p. 149-157, https://doi.org/10.3354/esr00594.","productDescription":"9 p.","startPage":"149","endPage":"157","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053072","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472550,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00594","text":"Publisher Index Page"},{"id":323407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9336e4b04f417c275185","contributors":{"authors":[{"text":"Jachowski, David S.","contributorId":82966,"corporation":false,"usgs":true,"family":"Jachowski","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Joshua B.","contributorId":171598,"corporation":false,"usgs":false,"family":"Johnson","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobony, Christopher A.","contributorId":171455,"corporation":false,"usgs":false,"family":"Dobony","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, John W.","contributorId":169827,"corporation":false,"usgs":false,"family":"Edwards","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":638285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":638026,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173561,"text":"70173561 - 2014 - Characterizing lentic freshwater fish assemblages using multiple sampling methods","interactions":[],"lastModifiedDate":"2016-06-13T15:45:36","indexId":"70173561","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing lentic freshwater fish assemblages using multiple sampling methods","docAbstract":"<p><span>Characterizing fish assemblages in lentic ecosystems is difficult, and multiple sampling methods are almost always necessary to gain reliable estimates of indices such as species richness. However, most research focused on lentic fish sampling methodology has targeted recreationally important species, and little to no information is available regarding the influence of multiple methods and timing (i.e., temporal variation) on characterizing entire fish assemblages. Therefore, six lakes and impoundments (48&ndash;1,557&nbsp;ha surface area) were sampled seasonally with seven gear types to evaluate the combined influence of sampling methods and timing on the number of species and individuals sampled. Probabilities of detection for species indicated strong selectivities and seasonal trends that provide guidance on optimal seasons to use gears when targeting multiple species. The evaluation of species richness and number of individuals sampled using multiple gear combinations demonstrated that appreciable benefits over relatively few gears (e.g., to four) used in optimal seasons were not present. Specifically, over 90&nbsp;% of the species encountered with all gear types and season combinations (</span><i class=\"EmphasisTypeItalic \">N</i><span>&thinsp;=&thinsp;19) from six lakes and reservoirs were sampled with nighttime boat electrofishing in the fall and benthic trawling, modified-fyke, and mini-fyke netting during the summer. Our results indicated that the characterization of lentic fish assemblages was highly influenced by the selection of sampling gears and seasons, but did not appear to be influenced by waterbody type (i.e., natural lake, impoundment). The standardization of data collected with multiple methods and seasons to account for bias is imperative to monitoring of lentic ecosystems and will provide researchers with increased reliability in their interpretations and decisions made using information on lentic fish assemblages.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-014-3711-z","usgsCitation":"Fischer, J., and Quist, M.C., 2014, Characterizing lentic freshwater fish assemblages using multiple sampling methods: Environmental Monitoring and Assessment, v. 186, no. 7, p. 4461-4474, https://doi.org/10.1007/s10661-014-3711-z.","productDescription":"14 p.","startPage":"4461","endPage":"4474","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042076","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-18","publicationStatus":"PW","scienceBaseUri":"575fd92be4b04f417c2baa0a","contributors":{"authors":[{"text":"Fischer, Jesse R.","contributorId":86618,"corporation":false,"usgs":true,"family":"Fischer","given":"Jesse R.","affiliations":[],"preferred":false,"id":638610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637343,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70134559,"text":"ofr20141249 - 2014 - Key recovery factors for the August 24, 2014, South Napa Earthquake","interactions":[],"lastModifiedDate":"2018-01-04T10:08:09","indexId":"ofr20141249","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","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":"2014-1249","title":"Key recovery factors for the August 24, 2014, South Napa Earthquake","docAbstract":"Through discussions between the Federal Emergency Management Agency (FEMA) and the U.S. Geological Survey (USGS) following the South Napa earthquake, it was determined that several key decision points would be faced by FEMA for which additional information should be sought and provided by USGS and its partners. This report addresses the four tasks that were agreed to. These tasks are (1) assessment of ongoing fault movement (called afterslip) especially in the Browns Valley residential neighborhood, (2) assessment of the shaking pattern in the downtown area of the City of Napa, (3) improvement of information on the fault hazards posed by the West Napa Fault System (record of past earthquakes and slip rate, for example), and (4) imagery acquisition and data processing to provide overall geospatial information support to FEMA.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141249","usgsCitation":"Hudnut, K.W., Brocher, T.M., Prentice, C.S., Boatwright, J., Brooks, B.A., Aagaard, B.T., Blair, J.L., Fletcher, J.P., Erdem, J., Wicks, C.W., Murray, J.R., Pollitz, F., Langbein, J.O., Svarc, J.L., Schwartz, D.P., Ponti, D.J., Hecker, S., DeLong, S.B., Rosa, C.M., Jones, B., Lamb, R.M., Rosinski, A.M., McCrink, T.P., Dawson, T.E., Seitz, G., Glennie, C., Hauser, D., Ericksen, T., Mardock, D., Hoirup, D.F., Bray, J.D., and Rubin, R.S., 2014, Key recovery factors for the August 24, 2014, South Napa Earthquake: U.S. Geological Survey Open-File Report 2014-1249, xii, 51 p., https://doi.org/10.3133/ofr20141249.","productDescription":"xii, 51 p.","ipdsId":"IP-061399","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":340089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":296454,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1249/","text":"Index Page"},{"id":340088,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1249/pdf/ofr2014-1249.pdf","text":"Report"}],"country":"United States","state":"California","city":"Napa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        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