{"pageNumber":"1003","pageRowStart":"25050","pageSize":"25","recordCount":165505,"records":[{"id":70187362,"text":"70187362 - 2016 - Spatially explicit models of full-season productivity and implications for landscape management of Golden-winged Warblers in the western Great Lakes Region","interactions":[],"lastModifiedDate":"2020-08-20T20:11:21.12311","indexId":"70187362","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5103,"text":"Studies in Avian Biology","printIssn":"0197-9922","active":true,"publicationSubtype":{"id":24}},"chapter":"9","title":"Spatially explicit models of full-season productivity and implications for landscape management of Golden-winged Warblers in the western Great Lakes Region","docAbstract":"<p>The relationship between landscape structure and composition and full-season productivity (FSP) is poorly understood for most birds. For species of high conservation concern, insight into how productivity is related to landscape structure and composition can be used to develop more effective conservation strategies that increase recruitment. We monitored nest productivity and fledgling survival of Golden-winged Warblers (<i>Vermivora chrysoptera</i>), a species of high conservation concern, in managed forest landscapes at two sites in northern Minnesota, and one site in southeastern Manitoba, Canada from 2010 to 2012. We used logistic exposure models to identify the influence of landscape structure and composition on nest productivity and fledgling survival. We used the models to predict spatially explicit, FSP across our study sites to identify areas of low relative productivity that could be targeted for management. We then used our models of spatially explicit, FSP to simulate the impact of potential management actions on our study sites with the goal of increasing total population productivity. Unlike previous studies that suggested wetland cover types provide higher quality breeding habitat for Golden-winged Warblers, our models predicted 14% greater productivity in upland&nbsp;cover types. Simulated succession of a 9-ha grassland patch to a shrubby upland suitable for nesting increased the total number of fledglings produced by that patch and adjacent upland shrublands by 30%, despite decreasing individual productivity by 13%. Further simulated succession of the same patch described above into deciduous forest reduced the total number of fledglings produced to independence on a landscape by 18% because of a decrease in the area available for nesting. Simulated reduction in the cumulative length of shrubby edge within a 50-m radius of any location in our landscapes from 0.6 to 0.3 km increased FSP by 5%. Our models demonstrated that the effects of any single management action depended on the context of the surrounding landscape. We conclude that spatially explicit, FSP models that incorporate data from both the nesting and postfledging periods are useful for informing breeding habitat management plans for Golden-winged Warblers and that similar models can benefit management planning for<br>many other species of conservation concern.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Golden-winged Warbler ecology, conservation, and habitat management (Studies in Avian Biology, volume 49)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","isbn":"978-1-4822-4068-9","usgsCitation":"Peterson, S.M., Streby, H.M., and Andersen, D., 2016, Spatially explicit models of full-season productivity and implications for landscape management of Golden-winged Warblers in the western Great Lakes Region, chap. 9 <i>of</i> Golden-winged Warbler ecology, conservation, and habitat management (Studies in Avian Biology, volume 49): Studies in Avian Biology, v. 49, p. 141-160.","productDescription":"20 p.","startPage":"141","endPage":"160","ipdsId":"IP-052068","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340653,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/189700"}],"volume":"49","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084925e4b0fc4e448ffd48","contributors":{"authors":[{"text":"Peterson, Sean M.","contributorId":9354,"corporation":false,"usgs":false,"family":"Peterson","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":693698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":693699,"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":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693611,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187400,"text":"70187400 - 2016 - Water isotope systematics: Improving our palaeoclimate interpretations","interactions":[],"lastModifiedDate":"2017-05-01T15:51:05","indexId":"70187400","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Water isotope systematics: Improving our palaeoclimate interpretations","docAbstract":"<p>The stable isotopes of oxygen and hydrogen, measured in a variety of archives, are widely used proxies in Quaternary Science. Understanding the processes that control δ18O change have long been a focus of research (e.g. Shackleton and Opdyke, 1973; Talbot, 1990 ; Leng, 2006). Both the dynamics of water isotope cycling and the appropriate interpretation of geological water-isotope proxy time series remain subjects of active research and debate. It is clear that achieving a complete understanding of the isotope systematics for any given archive type, and ideally each individual archive, is vital if these palaeo-data are to be used to their full potential, including comparison with climate model experiments of the past. Combining information from modern monitoring and process studies, climate models, and proxy data is crucial for improving our statistical constraints on reconstructions of past climate variability.</p><p>As climate models increasingly incorporate stable water isotope physics, this common language should aid quantitative comparisons between proxy data and climate model output. Water-isotope palaeoclimate data provide crucial metrics for validating GCMs, whereas GCMs provide a tool for exploring the climate variability dominating signals in the proxy data. Several of the studies in this set of papers highlight how collaborations between palaeoclimate experimentalists and modelers may serve to expand the usefulness of palaeoclimate data for climate prediction in future work.</p><p>This collection of papers follows the session on Water Isotope Systematics held at the 2013 AGU Fall Meeting in San Francisco. Papers in that session, the breadth of which are represented here, discussed such issues as; understanding sub-GNIP scale (Global Network for Isotopes in Precipitation, (IAEA/WMO, 2006)) variability in isotopes in precipitation from different regions, detailed examination of the transfer of isotope signals from precipitation to geological archives, and the implications of advances in understanding in these areas for the interpretation of palaeo records and proxy data – climate model comparison.</p><p>Here, we briefly review these areas of research, and discuss challenges for the water isotope community in improving our ability to partition climate vs. auxiliary signals in palaeoclimate data.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2015.11.014","usgsCitation":"Jones, M.D., Dee, S., Anderson, L., Baker, A., Bowen, G., and Noone, D., 2016, Water isotope systematics: Improving our palaeoclimate interpretations: Quaternary Science Reviews, v. 131, no. B, p. 243-249, https://doi.org/10.1016/j.quascirev.2015.11.014.","productDescription":"7 p.","startPage":"243","endPage":"249","ipdsId":"IP-071594","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470291,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.quascirev.2015.11.014","text":"External Repository"},{"id":340706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"B","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084923e4b0fc4e448ffd44","contributors":{"authors":[{"text":"Jones, M. D.","contributorId":191681,"corporation":false,"usgs":false,"family":"Jones","given":"M.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dee, S.","contributorId":191682,"corporation":false,"usgs":false,"family":"Dee","given":"S.","email":"","affiliations":[],"preferred":false,"id":693844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, L.","contributorId":22571,"corporation":false,"usgs":false,"family":"Anderson","given":"L.","affiliations":[],"preferred":false,"id":693845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, A.","contributorId":191683,"corporation":false,"usgs":false,"family":"Baker","given":"A.","affiliations":[],"preferred":false,"id":693846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowen, G.","contributorId":191684,"corporation":false,"usgs":false,"family":"Bowen","given":"G.","email":"","affiliations":[],"preferred":false,"id":693847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noone, D.","contributorId":26916,"corporation":false,"usgs":true,"family":"Noone","given":"D.","email":"","affiliations":[],"preferred":false,"id":693848,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193757,"text":"70193757 - 2016 - Populations of concern","interactions":[],"lastModifiedDate":"2020-08-20T20:06:48.959782","indexId":"70193757","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"9","title":"Populations of concern","docAbstract":"<p>Climate change is already causing, and is expected to continue to cause, a range of health impacts that vary across different population groups in the United States. The vulnerability of any given group is a function of its sensitivity to climate change related health risks, its exposure to those risks, and its capacity for responding to or coping with climate variability and change. Vulnerable groups of people, described here as populations of concern, include those with low income, some communities of color, immigrant groups (including those with limited English proficiency), Indigenous peoples, children and pregnant women, older adults, vulnerable occupational groups, persons with disabilities, and persons with preexisting or chronic medical conditions. Planners and public health officials, politicians and physicians, scientists and social service providers are tasked with understanding and responding to the health impacts of climate change. Collectively, their characterization of vulnerability should consider how populations of concern experience disproportionate, multiple, and complex risks to their health and well-being in response to climate change. </p><p>Some groups face a number of stressors related to both climate and non-climate factors. For example, people living in impoverished urban or isolated rural areas, floodplains, coastlines, and other at-risk locations are more vulnerable not only to extreme weather and persistent climate change but also to social and economic stressors. Many of these stressors can occur simultaneously or consecutively. Over time, this “accumulation” of multiple, complex stressors is expected to become more evident1 as climate impacts interact with stressors associated with existing mental and physical health conditions and with other socioeconomic and demographic factors. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The impacts of climate change on human health in the Untited States: A scientific assessment","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Global Change Research Program","doi":"10.7930/J0Q81B0T","usgsCitation":"Gamble, J., Balbus, J., Berger, M., Bouye, K., Campbell, V., Chief, K., Conlon, K., Crimmins, A., Flanagan, B., Gonzalez-Maddux, C., Hallisey, E., Hutchins, S., Jantarasami, L., Khoury, S., Kiefer, M., Kolling, J., Lynn, K., Manangan, A., McDonald, M., Morello-Frosch, R., Hiza, M., Sheffield, P., Thigpen Tart, K., Watson, J., Whyte, K., and Wolkin, A., 2016, Populations of concern, 40 p., https://doi.org/10.7930/J0Q81B0T.","productDescription":"40 p.","startPage":"247","endPage":"286","ipdsId":"IP-061937","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":350033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e0e","contributors":{"authors":[{"text":"Gamble, Janet","contributorId":199866,"corporation":false,"usgs":false,"family":"Gamble","given":"Janet","email":"","affiliations":[],"preferred":false,"id":720241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balbus, John","contributorId":199865,"corporation":false,"usgs":false,"family":"Balbus","given":"John","affiliations":[],"preferred":false,"id":720240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berger, Martha","contributorId":199867,"corporation":false,"usgs":false,"family":"Berger","given":"Martha","email":"","affiliations":[],"preferred":false,"id":720242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouye, Karen","contributorId":199868,"corporation":false,"usgs":false,"family":"Bouye","given":"Karen","email":"","affiliations":[],"preferred":false,"id":720243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, Vince","contributorId":199869,"corporation":false,"usgs":false,"family":"Campbell","given":"Vince","email":"","affiliations":[],"preferred":false,"id":720244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chief, Karletta","contributorId":147055,"corporation":false,"usgs":false,"family":"Chief","given":"Karletta","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":720247,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conlon, K.","contributorId":199873,"corporation":false,"usgs":false,"family":"Conlon","given":"K.","email":"","affiliations":[],"preferred":false,"id":720248,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crimmins, Allison","contributorId":199870,"corporation":false,"usgs":false,"family":"Crimmins","given":"Allison","email":"","affiliations":[],"preferred":false,"id":720245,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Flanagan, Barry","contributorId":199871,"corporation":false,"usgs":false,"family":"Flanagan","given":"Barry","email":"","affiliations":[],"preferred":false,"id":720246,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gonzalez-Maddux, C.","contributorId":199874,"corporation":false,"usgs":false,"family":"Gonzalez-Maddux","given":"C.","email":"","affiliations":[],"preferred":false,"id":720249,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hallisey, E.","contributorId":199875,"corporation":false,"usgs":false,"family":"Hallisey","given":"E.","email":"","affiliations":[],"preferred":false,"id":720250,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hutchins, S.","contributorId":199876,"corporation":false,"usgs":false,"family":"Hutchins","given":"S.","email":"","affiliations":[],"preferred":false,"id":720251,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jantarasami, L.","contributorId":199877,"corporation":false,"usgs":false,"family":"Jantarasami","given":"L.","email":"","affiliations":[],"preferred":false,"id":720252,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Khoury, S.","contributorId":199878,"corporation":false,"usgs":false,"family":"Khoury","given":"S.","email":"","affiliations":[],"preferred":false,"id":720253,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kiefer, M.","contributorId":199879,"corporation":false,"usgs":false,"family":"Kiefer","given":"M.","email":"","affiliations":[],"preferred":false,"id":720254,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kolling, J.","contributorId":199880,"corporation":false,"usgs":false,"family":"Kolling","given":"J.","email":"","affiliations":[],"preferred":false,"id":720255,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Lynn, K.","contributorId":199881,"corporation":false,"usgs":false,"family":"Lynn","given":"K.","email":"","affiliations":[],"preferred":false,"id":720256,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Manangan, A.","contributorId":199882,"corporation":false,"usgs":false,"family":"Manangan","given":"A.","email":"","affiliations":[],"preferred":false,"id":720257,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"McDonald, M.","contributorId":199883,"corporation":false,"usgs":false,"family":"McDonald","given":"M.","affiliations":[],"preferred":false,"id":720258,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Morello-Frosch, R.","contributorId":199884,"corporation":false,"usgs":false,"family":"Morello-Frosch","given":"R.","email":"","affiliations":[],"preferred":false,"id":720259,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Hiza, Margaret 0000-0003-2851-2502 mhiza@usgs.gov","orcid":"https://orcid.org/0000-0003-2851-2502","contributorId":198449,"corporation":false,"usgs":true,"family":"Hiza","given":"Margaret","email":"mhiza@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":720239,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Sheffield, P.","contributorId":199885,"corporation":false,"usgs":false,"family":"Sheffield","given":"P.","email":"","affiliations":[],"preferred":false,"id":720260,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Thigpen Tart, K.","contributorId":199886,"corporation":false,"usgs":false,"family":"Thigpen Tart","given":"K.","email":"","affiliations":[],"preferred":false,"id":720261,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Watson, J.","contributorId":199887,"corporation":false,"usgs":false,"family":"Watson","given":"J.","email":"","affiliations":[],"preferred":false,"id":720262,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Whyte, K.P.","contributorId":199888,"corporation":false,"usgs":false,"family":"Whyte","given":"K.P.","email":"","affiliations":[],"preferred":false,"id":720263,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Wolkin, A.F.","contributorId":199889,"corporation":false,"usgs":false,"family":"Wolkin","given":"A.F.","email":"","affiliations":[],"preferred":false,"id":720264,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}}
,{"id":70180630,"text":"70180630 - 2016 - Spatial and temporal heterogeneity of infectious hematopoietic necrosis virus in Pacific Northwest salmonids","interactions":[],"lastModifiedDate":"2017-01-31T10:30:40","indexId":"70180630","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1988,"text":"Infection, Genetics and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal heterogeneity of infectious hematopoietic necrosis virus in Pacific Northwest salmonids","docAbstract":"<p><span>The aquatic rhaboviral pathogen infectious hematopoietic necrosis virus (IHNV) causes acute disease in juvenile fish of a number of populations of Pacific salmonid species. Heavily managed in both marine and freshwater environments, these fish species are cultured during the juvenile stage in freshwater conservation hatcheries, where IHNV is one of the top three infectious diseases that cause serious morbidity and mortality. Therefore, a comprehensive study of viral genetic surveillance data representing 2590 field isolates collected between 1958 and 2014 was conducted to determine the spatial and temporal patterns of IHNV in the Pacific Northwest of the contiguous United States. Prevalence of infection varied over time, fluctuating over a rough 5–7&nbsp;year&nbsp;cycle. The genetic analysis revealed numerous subgroups of IHNV, each of which exhibited spatial heterogeneity. Within all subgroups, dominant genetic types were apparent, though the temporal patterns of emergence of these types varied among subgroups. Finally, the affinity or fidelity of subgroups to specific host species also varied, where UC subgroup viruses exhibited a more generalist profile and all other subgroups exhibited a specialist profile. These complex patterns are likely synergistically driven by numerous ecological, pathobiological, and anthropogenic factors. Since only a few anthropogenic factors are candidates for managed intervention aimed at improving the health of threatened or endangered salmonid fish populations, determining the relative impact of these factors is a high priority for future studies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.meegid.2016.09.022","usgsCitation":"Breyta, R., Black, A., Kaufman, J., and Kurath, G., 2016, Spatial and temporal heterogeneity of infectious hematopoietic necrosis virus in Pacific Northwest salmonids: Infection, Genetics and Evolution, v. 45, p. 347-358, https://doi.org/10.1016/j.meegid.2016.09.022.","productDescription":"12 p.","startPage":"347","endPage":"358","ipdsId":"IP-074419","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":470282,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.meegid.2016.09.022","text":"Publisher Index Page"},{"id":334411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5891b0a8e4b072a7ac1298ef","chorus":{"doi":"10.1016/j.meegid.2016.09.022","url":"http://dx.doi.org/10.1016/j.meegid.2016.09.022","publisher":"Elsevier BV","authors":"Breyta Rachel, Black Allison, Kaufman John, Kurath Gael","journalName":"Infection, Genetics and Evolution","publicationDate":"11/2016"},"contributors":{"authors":[{"text":"Breyta, Rachel","contributorId":150355,"corporation":false,"usgs":false,"family":"Breyta","given":"Rachel","affiliations":[],"preferred":false,"id":661798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, Allison","contributorId":147061,"corporation":false,"usgs":false,"family":"Black","given":"Allison","email":"","affiliations":[{"id":16782,"text":"Institute for Public Health Genetics, UW, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":661799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaufman, John","contributorId":178964,"corporation":false,"usgs":false,"family":"Kaufman","given":"John","email":"","affiliations":[],"preferred":false,"id":661800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":661801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179649,"text":"70179649 - 2016 - Environmental variability and population dynamics: Do European and North American ducks play by the same rules?","interactions":[],"lastModifiedDate":"2017-01-10T10:45:02","indexId":"70179649","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","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":"Environmental variability and population dynamics: Do European and North American ducks play by the same rules?","docAbstract":"<p><span>Density dependence, population regulation, and variability in population size are fundamental population processes, the manifestation and interrelationships of which are affected by environmental variability. However, there are surprisingly few empirical studies that distinguish the effect of environmental variability from the effects of population processes. We took advantage of a unique system, in which populations of the same duck species or close ecological counterparts live in highly variable (north American prairies) and in stable (north European lakes) environments, to distinguish the relative contributions of environmental variability (measured as between-year fluctuations in wetland numbers) and intraspecific interactions (density dependence) in driving population dynamics. We tested whether populations living in stable environments (in northern Europe) were more strongly governed by density dependence than populations living in variable environments (in North America). We also addressed whether relative population dynamical responses to environmental variability versus density corresponded to differences in life history strategies between dabbling (relatively “fast species” and governed by environmental variability) and diving (relatively “slow species” and governed by density) ducks. As expected, the variance component of population fluctuations caused by changes in breeding environments was greater in North America than in Europe. Contrary to expectations, however, populations in more stable environments were not less variable nor clearly more strongly density dependent than populations in highly variable environments. Also, contrary to expectations, populations of diving ducks were neither more stable nor stronger density dependent than populations of dabbling ducks, and the effect of environmental variability on population dynamics was greater in diving than in dabbling ducks. In general, irrespective of continent and species life history, environmental variability contributed more to variation in species abundances than did density. Our findings underscore the need for more studies on populations of the same species in different environments to verify the generality of current explanations about population dynamics and its association with species life history.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2413","usgsCitation":"Poysa, H., Rintala, J., Johnson, D.H., Kauppinen, J., Lammi, E., Nudds, T.D., and Vaananen, V., 2016, Environmental variability and population dynamics: Do European and North American ducks play by the same rules?: Ecology and Evolution, v. 6, no. 19, p. 7004-7014, https://doi.org/10.1002/ece3.2413.","productDescription":"11 p.","startPage":"7004","endPage":"7014","ipdsId":"IP-078795","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470281,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2413","text":"Publisher Index Page"},{"id":333010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"19","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-09","publicationStatus":"PW","scienceBaseUri":"58760114e4b04eac8e0746d7","contributors":{"authors":[{"text":"Poysa, Hannu","contributorId":178160,"corporation":false,"usgs":false,"family":"Poysa","given":"Hannu","email":"","affiliations":[],"preferred":false,"id":658082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rintala, Jukka","contributorId":178161,"corporation":false,"usgs":false,"family":"Rintala","given":"Jukka","email":"","affiliations":[],"preferred":false,"id":658083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":658058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kauppinen, Jukka","contributorId":178162,"corporation":false,"usgs":false,"family":"Kauppinen","given":"Jukka","email":"","affiliations":[],"preferred":false,"id":658084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lammi, Esa","contributorId":178163,"corporation":false,"usgs":false,"family":"Lammi","given":"Esa","email":"","affiliations":[],"preferred":false,"id":658085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nudds, Thomas D.","contributorId":178164,"corporation":false,"usgs":false,"family":"Nudds","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":658086,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vaananen, Veli-Matti","contributorId":178165,"corporation":false,"usgs":false,"family":"Vaananen","given":"Veli-Matti","email":"","affiliations":[],"preferred":false,"id":658087,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70180015,"text":"70180015 - 2016 - A cytosolic carbonic anhydrase molecular switch occurs in the gills of metamorphic sea lamprey","interactions":[],"lastModifiedDate":"2017-01-23T11:03:10","indexId":"70180015","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"A cytosolic carbonic anhydrase molecular switch occurs in the gills of metamorphic sea lamprey","docAbstract":"<p><span>Carbonic anhydrase plays a key role in CO</span><sub>2</sub><span> transport, acid-base and ion regulation and metabolic processes in vertebrates. While several carbonic anhydrase isoforms have been identified in numerous vertebrate species, basal lineages such as the cyclostomes have remained largely unexamined. Here we investigate the repertoire of cytoplasmic carbonic anhydrases in the sea lamprey (</span><i>Petromyzon marinus</i><span>), that has a complex life history marked by a dramatic metamorphosis from a benthic filter-feeding ammocoete larvae into a parasitic juvenile which migrates from freshwater to seawater. We have identified a novel carbonic anhydrase gene (</span><i>ca19</i><span>) beyond the single carbonic anhydrase gene (</span><i>ca18</i><span>) that was known previously. Phylogenetic analysis and synteny studies suggest that both carbonic anhydrase genes form one or two independent gene lineages and are most likely duplicates retained uniquely in cyclostomes. Quantitative PCR of </span><i>ca19</i><span> and </span><i>ca18</i><span> and protein expression in gill across metamorphosis show that the </span><i>ca19</i><span> levels are highest in ammocoetes and decrease during metamorphosis while </span><i>ca18</i><span> shows the opposite pattern with the highest levels in post-metamorphic juveniles. We propose that a unique molecular switch occurs during lamprey metamorphosis resulting in distinct gill carbonic anhydrases reflecting the contrasting life modes and habitats of these life-history stages.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/srep33954","usgsCitation":"Ferreira-Martins, D., McCormick, S.D., Campos, A., Lopes-Marques, M., Osorio, H., Coimbra, J., Castro, L., and Wilson, J.M., 2016, A cytosolic carbonic anhydrase molecular switch occurs in the gills of metamorphic sea lamprey: Scientific Reports, v. 6, p. 1-11, https://doi.org/10.1038/srep33954.","productDescription":"Article 33954; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-068593","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep33954","text":"Publisher Index Page"},{"id":333696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-05","publicationStatus":"PW","scienceBaseUri":"58863a11e4b0cad700058b5b","contributors":{"authors":[{"text":"Ferreira-Martins, D.","contributorId":178547,"corporation":false,"usgs":false,"family":"Ferreira-Martins","given":"D.","affiliations":[],"preferred":false,"id":659765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":659764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campos, A.","contributorId":178549,"corporation":false,"usgs":false,"family":"Campos","given":"A.","email":"","affiliations":[],"preferred":false,"id":659767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopes-Marques, M.","contributorId":178550,"corporation":false,"usgs":false,"family":"Lopes-Marques","given":"M.","email":"","affiliations":[],"preferred":false,"id":659768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osorio, H.","contributorId":178551,"corporation":false,"usgs":false,"family":"Osorio","given":"H.","email":"","affiliations":[],"preferred":false,"id":659769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coimbra, J.","contributorId":178552,"corporation":false,"usgs":false,"family":"Coimbra","given":"J.","affiliations":[],"preferred":false,"id":659770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castro, L.F.C.","contributorId":178553,"corporation":false,"usgs":false,"family":"Castro","given":"L.F.C.","email":"","affiliations":[],"preferred":false,"id":659771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Jonthan M","contributorId":178548,"corporation":false,"usgs":false,"family":"Wilson","given":"Jonthan","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":659766,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70180390,"text":"70180390 - 2016 - Dissolved organic matter composition of Arctic rivers: Linking permafrost and parent material to riverine carbon","interactions":[],"lastModifiedDate":"2017-01-30T09:36:37","indexId":"70180390","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic matter composition of Arctic rivers: Linking permafrost and parent material to riverine carbon","docAbstract":"<p><span>Recent climate change in the Arctic is driving permafrost thaw, which has important implications for regional hydrology and global carbon dynamics. Permafrost is an important control on groundwater dynamics and the amount and chemical composition of dissolved organic matter (DOM) transported by high-latitude rivers. The consequences of permafrost thaw for riverine DOM dynamics will likely vary across space and time, due in part to spatial variation in ecosystem properties in Arctic watersheds. Here we examined watershed controls on DOM composition in 69 streams and rivers draining heterogeneous landscapes across a broad region of Arctic Alaska. We characterized DOM using bulk dissolved organic carbon (DOC) concentration, optical properties, and chemical fractionation and classified watersheds based on permafrost characteristics (mapping of parent material and ground ice content, modeling of thermal state) and ecotypes. Parent material and ground ice content significantly affected the amount and composition of DOM. DOC concentrations were higher in watersheds underlain by fine-grained loess compared to watersheds underlain by coarse-grained sand or shallow bedrock. DOC concentration was also higher in rivers draining ice-rich landscapes compared to rivers draining ice-poor landscapes. Similarly, specific ultraviolet absorbance (SUVA</span><sub>254</sub><span>, an index of DOM aromaticity) values were highest in watersheds underlain by fine-grained deposits or ice-rich permafrost. We also observed differences in hydrophobic organic acids, hydrophilic compounds, and DOM fluorescence across watersheds. Both DOC concentration and SUVA</span><sub>254</sub><span> were negatively correlated with watershed active layer thickness, as determined by high-resolution permafrost modeling. Together, these findings highlight how spatial variations in permafrost physical and thermal properties can influence riverine DOM.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016GB005482","usgsCitation":"O’Donnell, J.A., Aiken, G.R., Swanson, D.K., Santosh, P., Butler, K.D., and Baltensperger, A.P., 2016, Dissolved organic matter composition of Arctic rivers: Linking permafrost and parent material to riverine carbon: Global Biogeochemical Cycles, v. 30, no. 12, p. 1811-1826, https://doi.org/10.1002/2016GB005482.","productDescription":"16 p","startPage":"1811","endPage":"1826","ipdsId":"IP-081691","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470284,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gb005482","text":"Publisher Index Page"},{"id":334279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"58905ef1e4b072a7ac0cad35","contributors":{"authors":[{"text":"O’Donnell, Jonathan A.","contributorId":178151,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":661502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, David K.","contributorId":178902,"corporation":false,"usgs":false,"family":"Swanson","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":661503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Santosh, Panda","contributorId":178903,"corporation":false,"usgs":false,"family":"Santosh","given":"Panda","email":"","affiliations":[],"preferred":false,"id":661504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Kenna D. 0000-0001-9604-4603 kebutler@usgs.gov","orcid":"https://orcid.org/0000-0001-9604-4603","contributorId":178885,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":661506,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baltensperger, Andrew P.","contributorId":178904,"corporation":false,"usgs":false,"family":"Baltensperger","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":661505,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70180370,"text":"70180370 - 2016 - Protecting national parks from air pollution effects: Making sausage from science and policy","interactions":[],"lastModifiedDate":"2017-01-31T14:27:20","indexId":"70180370","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Protecting national parks from air pollution effects: Making sausage from science and policy","docAbstract":"The story of air pollution research, policy development, and management in national parks is a fascinating blend of cultural change, vision, interdisciplinary and interagency collaboration, and science-policy-management-stakeholder collaborations. Unable to ignore the loss of iconic vistas from regional haze and loss of fish from acid rain in the 1980s, the National Park Service (NPS) embraced an obligation to protect resources from threats originating outside park boundaries. Upholding the Organic Act requirement for parks to remain \"unimpaired\" for the enjoyment of future generations, and using the Clean Air Act statement that NPS has an “affirmative responsibility” to protect park resources, NPS has supported, and effectively used, research as a means to protect lands, waters, and vistas from a mostly unseen threat. Using visibility and atmospheric nitrogen deposition as examples, we will illustrate some success stories where NPS led the way to benefit not only parks, but the Nation.","language":"English","publisher":"University of Chicago Press","usgsCitation":"Baron, J., Blett, T., Malm, W.C., Alexander, R., and Doremus, H., 2016, Protecting national parks from air pollution effects: Making sausage from science and policy, p. 151-169.","productDescription":"19 p.","startPage":"151","endPage":"169","ipdsId":"IP-065116","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":334492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334490,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://press.uchicago.edu/ucp/books/book/chicago/S/bo25126049.html"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5891b0a8e4b072a7ac1298f1","contributors":{"authors":[{"text":"Baron, Jill S. 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":174080,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":661411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blett, Tamara","contributorId":178864,"corporation":false,"usgs":false,"family":"Blett","given":"Tamara","affiliations":[],"preferred":false,"id":661412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malm, William C.","contributorId":178865,"corporation":false,"usgs":false,"family":"Malm","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":661413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Ruth","contributorId":178866,"corporation":false,"usgs":false,"family":"Alexander","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":661414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doremus, Holly","contributorId":179009,"corporation":false,"usgs":false,"family":"Doremus","given":"Holly","email":"","affiliations":[],"preferred":false,"id":662067,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179748,"text":"70179748 - 2016 - Landslide hazards and climate change: A perspective from the United States","interactions":[],"lastModifiedDate":"2020-08-20T20:14:17.721443","indexId":"70179748","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Landslide hazards and climate change: A perspective from the United States","docAbstract":"<p>No abstract available.&nbsp;<br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Slope safety preparedness for impact of climate change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9781315387789-16","usgsCitation":"Coe, J.A., 2016, Landslide hazards and climate change: A perspective from the United States, chap. 14 <i>of</i> Slope safety preparedness for impact of climate change, p. 479-523, https://doi.org/10.1201/9781315387789-16.","productDescription":"45 p.","startPage":"479","endPage":"523","ipdsId":"IP-069919","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":333487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","scienceBaseUri":"5881ded8e4b01192927d9f89","contributors":{"authors":[{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":658522,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193153,"text":"70193153 - 2016 - Impacts of short-rotation early-growing season prescribed fire on a ground nesting bird in the central hardwoods region of North America","interactions":[],"lastModifiedDate":"2017-11-21T12:31:47","indexId":"70193153","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","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":"Impacts of short-rotation early-growing season prescribed fire on a ground nesting bird in the central hardwoods region of North America","docAbstract":"<p><span>Landscape-scale short-rotation early-growing season prescribed fire, hereafter prescribed fire, in upland hardwood forests represents a recent shift in management strategies across eastern upland forests. Not only does this strategy depart from dormant season to growing season prescriptions, but the strategy also moves from stand-scale to landscape-scale implementation (&gt;1,000 ha). This being so, agencies are making considerable commitments in terms of time and resources to this management strategy, but the effects on wildlife in upland forests, especially those dominated by hardwood canopy species, are relatively unknown. We initiated our study to assess whether this management strategy affects eastern wild turkey reproductive ecology on the Ozark-St. Francis National Forest. We marked 67 wild turkey hens with Global Positioning System (GPS) Platform Transmitting Terminals in 2012 and 2013 to document exposure to prescribed fire, and estimate daily nest survival, nest success, and nest-site selection. We estimated these reproductive parameters in forest units managed with prescribed fire (treated) and units absent of prescribed fire (untreated). Of 60 initial nest attempts monitored, none were destroyed or exposed to prescribed fire because a majority of fires occurred early than a majority of the nesting activity. We found nest success was greater in untreated units than treated units (36.4% versus 14.6%). We did not find any habitat characteristic differences between successful and unsuccessful nest-sites. We found that nest-site selection criteria differed between treated and untreated units. Visual concealment and woody ground cover were common selection criteria in both treated and untreated units. However, in treated units wild turkey selected nest-sites with fewer small shrubs (&lt;5 cm ground diameter) and large trees (&gt;20 cm DBH) but not in untreated units. In untreated units wild turkey selected nest-sites with more large shrubs (≥5cm ground diameter) but did not select for small shrubs or large trees. Our findings suggest that wild turkey have not benefited from the reintroduction of prescribed fire to the WRERA.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0147317","usgsCitation":"Pittman, H.T., and Krementz, D.G., 2016, Impacts of short-rotation early-growing season prescribed fire on a ground nesting bird in the central hardwoods region of North America: PLoS ONE, v. 11, no. 1, p. 1-14, https://doi.org/10.1371/journal.pone.0147317.","productDescription":" e0147317; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-059168","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470286,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0147317","text":"Publisher Index Page"},{"id":349194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"White Rock Ecosystem Restoration Area","volume":"11","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-21","publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e10","contributors":{"authors":[{"text":"Pittman, H. Tyler","contributorId":200530,"corporation":false,"usgs":false,"family":"Pittman","given":"H.","email":"","middleInitial":"Tyler","affiliations":[],"preferred":false,"id":723027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718101,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190859,"text":"70190859 - 2016 - Measuring distance “as the horse runs”: Cross-scale comparison of terrain-based metrics","interactions":[],"lastModifiedDate":"2017-09-20T10:39:26","indexId":"70190859","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Measuring distance “as the horse runs”: Cross-scale comparison of terrain-based metrics","docAbstract":"<p>Distance metrics play significant roles in spatial modeling tasks, such as flood inundation (Tucker and Hancock 2010), stream extraction (Stanislawski et al. 2015), power line routing (Kiessling et al. 2003) and analysis of surface pollutants such as nitrogen (Harms et al. 2009). Avalanche risk is based on slope, aspect, and curvature, all directly computed from distance metrics (Gutiérrez 2012). Distance metrics anchor variogram analysis, kernel estimation, and spatial interpolation (Cressie 1993). Several approaches are employed to measure distance. Planar metrics measure straight line distance between two points (“as the crow flies”) and are simple and intuitive, but suffer from uncertainties. Planar metrics assume that Digital Elevation Model (DEM) pixels are rigid and flat, as tiny facets of ceramic tile approximating a continuous terrain surface. In truth, terrain can bend, twist and undulate within each pixel.</p><p>Work with Light Detection and Ranging (lidar) data or High Resolution Topography to achieve precise measurements present challenges, as filtering can eliminate or distort significant features (Passalacqua et al. 2015). The current availability of lidar data is far from comprehensive in developed nations, and non-existent in many rural and undeveloped regions. Notwithstanding computational advances, distance estimation on DEMs has never been systematically assessed, due to assumptions that improvements are so small that surface adjustment is unwarranted. For individual pixels inaccuracies may be small, but additive effects can propagate dramatically, especially in regional models (e.g., disaster evacuation) or global models (e.g., sea level rise) where pixels span dozens to hundreds of kilometers (Usery et al 2003). Such models are increasingly common, lending compelling reasons to understand shortcomings in the use of planar distance metrics. Researchers have studied curvature-based terrain modeling. Jenny et al. (2011) use curvature to generate hierarchical terrain models. Schneider (2001) creates a ‘plausibility’ metric for DEM-extracted structure lines. d’Oleire- Oltmanns et al. (2014) adopt object-based image processing as an alternative to working with DEMs; acknowledging the pre-processing involved in converting terrain into an object model is computationally intensive, and likely infeasible for some applications.</p><p>This paper compares planar distance with surface adjusted distance, evolving from distance “as the crow flies” to distance “as the horse runs”. Several methods are compared for DEMs spanning a range of resolutions for the study area and validated against a 3 meter (m) lidar data benchmark. Error magnitudes vary with pixel size and with the method of surface adjustment. The rate of error increase may also vary with landscape type (terrain roughness, precipitation regimes and land settlement patterns). Cross-scale analysis for a single study area is reported here. Additional areas will be presented at the conference.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Conference on GIScience: Short Paper Proceedings","doi":"10.21433/B3118rh987cz","usgsCitation":"Buttenfield, B., Ghandehari, M., Leyk, S., Stanislawski, L.V., Brantley, M.E., and Qiang, Y., 2016, Measuring distance “as the horse runs”: Cross-scale comparison of terrain-based metrics, p. 37-40, https://doi.org/10.21433/B3118rh987cz.","productDescription":"4 p.","startPage":"37","endPage":"40","ipdsId":"IP-078741","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":470295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21433/b3118rh987cz","text":"Publisher Index Page"},{"id":345882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c22cb4e4b091459a61b73d","contributors":{"authors":[{"text":"Buttenfield, Barbara P.","contributorId":145538,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":710649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghandehari, M","contributorId":196539,"corporation":false,"usgs":false,"family":"Ghandehari","given":"M","email":"","affiliations":[],"preferred":false,"id":710651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leyk, S","contributorId":196538,"corporation":false,"usgs":false,"family":"Leyk","given":"S","email":"","affiliations":[],"preferred":false,"id":710650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanislawski, Larry V. 0000-0002-9437-0576 lstan@usgs.gov","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":3386,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","email":"lstan@usgs.gov","middleInitial":"V.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":710648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brantley, M E","contributorId":196540,"corporation":false,"usgs":false,"family":"Brantley","given":"M","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":710652,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Qiang, Yi","contributorId":196567,"corporation":false,"usgs":false,"family":"Qiang","given":"Yi","email":"","affiliations":[],"preferred":false,"id":710777,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197823,"text":"70197823 - 2016 - Protocol and results from the first season of captive-rearing whooping cranes for a non-migratory release in Louisiana","interactions":[],"lastModifiedDate":"2019-06-27T16:43:36","indexId":"70197823","displayToPublicDate":"2016-12-31T16:30:27","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Protocol and results from the first season of captive-rearing whooping cranes for a non-migratory release in Louisiana","docAbstract":"<p>No abstract available</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the North American Crane Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Thirteenth North American Crane Workshop","conferenceDate":"14-17 April 2014","conferenceLocation":"Lafayette, Louisiana","language":"English","usgsCitation":"Olsen, G.H., and Chandler, J.N., 2016, 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 \"}}]}","volume":"13","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Olsen, Glenn H. 0000-0002-7188-6203 golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":738670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Jane N. 0000-0002-6131-2396 jchandler@usgs.gov","orcid":"https://orcid.org/0000-0002-6131-2396","contributorId":3512,"corporation":false,"usgs":true,"family":"Chandler","given":"Jane","email":"jchandler@usgs.gov","middleInitial":"N.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research 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,{"id":70237036,"text":"70237036 - 2016 - Evaluation of performance of Taiwan housing stock and schools during the Mw6.4 Kaohsiung/Meinong Earthquake of February 6, 2016","interactions":[],"lastModifiedDate":"2024-02-22T17:56:23.316688","indexId":"70237036","displayToPublicDate":"2016-12-31T11:50:34","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of performance of Taiwan housing stock and schools during the Mw6.4 Kaohsiung/Meinong Earthquake of February 6, 2016","docAbstract":"<p>The recent Kaohsiung Meinong Earthquake which occurred on February 6, 2016 affected several categories of building stock for which risk identification programs were previously developed by NCREE. </p><p>A typical building type in the city of Tainan is a mixed-use three-to-five-story structure. The ground floor of this typical structure is an open-front commercial or manufacturing space, which is laterally a soft story. The upper floors are residential and extend over a covered sidewalk, with column supports at the front of the building. NCREE has an established “street house” program which provides criteria for homeowners to evaluate and retrofit these structures. This program is discussed below, as well as damage and structural deficiencies related to this type of structure that were observed during a field reconnaissance trip following the Meinong Earthquake. </p><p>An active evaluation and retrofit program is in place for school buildings in Taiwan. This program identifies buildings with seismic deficiencies and determines whether or not a retrofit is warranted. The program and retrofit strategies are discussed, as well as the performance of schools with and without retrofit during the Meinong Earthquake. </p>","conferenceTitle":"16th U.S.-Japan-N.Z. Workshop on the Improvement of Structural Engineering and Resiliency","conferenceDate":"June 27-29, 2016","conferenceLocation":"Nara, Japan","language":"English","publisher":"Applied Technology Council","usgsCitation":"Gilsanz, R., Huang, C., Mandrick, J., Mugford, J., Hwang, S., Chiou, T., and Celebi, M., 2016, Evaluation of performance of Taiwan housing stock and schools during the Mw6.4 Kaohsiung/Meinong Earthquake of February 6, 2016, 16th U.S.-Japan-N.Z. Workshop on the Improvement of Structural Engineering and Resiliency, Nara, Japan, June 27-29, 2016, 9 p.","productDescription":"9 p.","ipdsId":"IP-076743","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":425882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":407449,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.atcouncil.org/atc-15-15-w-presentations","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gilsanz, Ramon","contributorId":297026,"corporation":false,"usgs":false,"family":"Gilsanz","given":"Ramon","email":"","affiliations":[{"id":64278,"text":"Gilsanz Murray Steficek (GMS), NewYork, NY","active":true,"usgs":false}],"preferred":false,"id":895248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Cathy","contributorId":297027,"corporation":false,"usgs":false,"family":"Huang","given":"Cathy","email":"","affiliations":[{"id":64278,"text":"Gilsanz Murray Steficek (GMS), NewYork, NY","active":true,"usgs":false}],"preferred":false,"id":895249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandrick, Jessica","contributorId":297028,"corporation":false,"usgs":false,"family":"Mandrick","given":"Jessica","email":"","affiliations":[{"id":64278,"text":"Gilsanz Murray Steficek (GMS), NewYork, NY","active":true,"usgs":false}],"preferred":false,"id":895250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mugford, Joe","contributorId":297029,"corporation":false,"usgs":false,"family":"Mugford","given":"Joe","email":"","affiliations":[{"id":64278,"text":"Gilsanz Murray Steficek (GMS), NewYork, NY","active":true,"usgs":false}],"preferred":false,"id":895251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hwang, Shyh-Jiann","contributorId":334302,"corporation":false,"usgs":false,"family":"Hwang","given":"Shyh-Jiann","email":"","affiliations":[],"preferred":false,"id":895252,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chiou, Tsung-Chih","contributorId":297041,"corporation":false,"usgs":false,"family":"Chiou","given":"Tsung-Chih","email":"","affiliations":[{"id":64283,"text":"NCREE, Taipeu, Taiwan","active":true,"usgs":false}],"preferred":false,"id":895253,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":895254,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208287,"text":"70208287 - 2016 - Modeling martian thermal inertia in a distributed memory high performance computing environment","interactions":[],"lastModifiedDate":"2020-02-03T10:19:52","indexId":"70208287","displayToPublicDate":"2016-12-31T10:07:21","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling martian thermal inertia in a distributed memory high performance computing environment","docAbstract":"<p><span>Modeling martian surface properties fusing high resolution, spatially enabled, remotely sensed data and derived thermophysical modeling is an essential tool for surface property characterization studies. In this work, we describe the development of a thermal inertia modeling tool that integrates the KRC thermal model and a nine-dimensional parameter interpolation with inputs draw from remotely sensed data. Our model is classifiable as operating in both the Big Data and Big Process domains. We utilize the KRC thermal model to generate a dense lookup table. We show that the overall size of the lookup table necessary to derive thermal inertia can be reduced, through sampling, by approximately 82% while maintaining a high level of accuracy at those regions of the parameter space where thermal inertia is most frequently derived. This level of data reduction supports the distributed, in-memory application of our model and we illustrate the computational performance through a classic scaling experiment. This work extends previous modeling efforts by allowing for pixel scale thermal inertia modeling at the highest spatial scales allowed, and enabling surface properties investigations at spatial scales relevant to addressing high-priority science and engineering questions.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings 2016 IEEE international conference on big data ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2016 IEEE International Conference on Big Data","conferenceDate":"Dec 5-8, 2015","conferenceLocation":"Washington DC","language":"English","publisher":"Institute of Electrical and Electronics Engineers","doi":"10.1109/BigData.2016.7840942","usgsCitation":"Laura, J., and Fergason, R.L., 2016, Modeling martian thermal inertia in a distributed memory high performance computing environment, <i>in</i> Proceedings 2016 IEEE international conference on big data , Washington DC, Dec 5-8, 2015, p. 2919-2928, https://doi.org/10.1109/BigData.2016.7840942.","productDescription":"10 p.","startPage":"2919","endPage":"2928","ipdsId":"IP-080208","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":371914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Laura, Jason 0000-0002-1377-8159","orcid":"https://orcid.org/0000-0002-1377-8159","contributorId":222124,"corporation":false,"usgs":true,"family":"Laura","given":"Jason","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":781265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fergason, Robin L. 0000-0002-2044-1714","orcid":"https://orcid.org/0000-0002-2044-1714","contributorId":206167,"corporation":false,"usgs":true,"family":"Fergason","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":781266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192264,"text":"70192264 - 2016 - Thiamine and lipid utilization in fasting Chinook salmon","interactions":[],"lastModifiedDate":"2020-05-21T15:20:22.545983","indexId":"70192264","displayToPublicDate":"2016-12-31T09:58:46","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5527,"text":"North Pacific Anadromous Fish Commission Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Thiamine and lipid utilization in fasting Chinook salmon","docAbstract":"<p>A laboratory study was conducted to estimate utilization rates of thiamine (vitamin B<sub>1</sub>) and lipid in whole fish, muscle, and liver tissues of fasting Chinook salmon (<i>Oncorhynchus tshawytscha</i>). The experiment was conducted with Chinook salmon held at 5ºC over a period of 150 days to simulate fasting during migration or overwintering. Chinook salmon body length and wet weight did not change (<i>p</i> &gt; 0.05) over the course of the study; however, significant declines were observed in muscle thiamine (<i>p</i> &lt; 0.01) and lipid (p &lt; 0.01). There was an inverse relationship between lipid and water content. Under the experimental conditions with no strenuous swimming, thiamine utilization rates reported are conservative estimates and were found to be 5.3–6.8 pmol·g<sup>-1</sup>·day<sup>-1</sup> in muscle tissue and ~110 pmol·g<sup>-1</sup>·day<sup>-1</sup> in liver tissue over the first 100 days. Fasting lipid depletion rates in whole fish were calculated to be 0.14–0.16%·d<sup>-1</sup>. Muscle lipid decline rate (0.13%·day<sup>-1</sup>) over the first 100 days was similar to whole fish lipid loss, however, muscle lipid utilization was slower (0.04%·day<sup>-1</sup>) over the last 50 days. During periods of fasting, Chinook salmon deplete bodily reserves of both thiamine and lipid which may have consequences for successful spawning migration and overwinter survival. </p>","language":"English","publisher":"North Pacific Fish Anadromous Fish Commission","doi":"10.23849/npafcb6/13.19","usgsCitation":"Honeyfield, D.C., Peters, A.K., and Jones, M., 2016, Thiamine and lipid utilization in fasting Chinook salmon: North Pacific Anadromous Fish Commission Bulletin, v. 6, p. 13-19, https://doi.org/10.23849/npafcb6/13.19.","productDescription":"7 p.","startPage":"13","endPage":"19","ipdsId":"IP-071017","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470296,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.23849/npafcb6/13.19","text":"Publisher Index Page"},{"id":374995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Honeyfield, Dale C. 0000-0003-3034-2047 honeyfie@usgs.gov","orcid":"https://orcid.org/0000-0003-3034-2047","contributorId":2774,"corporation":false,"usgs":true,"family":"Honeyfield","given":"Dale","email":"honeyfie@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":715057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peters, A. K.","contributorId":56860,"corporation":false,"usgs":true,"family":"Peters","given":"A.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":789666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Michael L.","contributorId":7219,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":789667,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207589,"text":"70207589 - 2016 - Habitat and diet of equids","interactions":[],"lastModifiedDate":"2019-12-31T09:53:22","indexId":"70207589","displayToPublicDate":"2016-12-31T09:52:14","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Habitat and diet of equids","docAbstract":"In this chapter, we present information  from studies of equids and their \nhabitat use across various habitat types.  We provide a synthesis of the scientific\nliterature on equid habitat selection, home range, and movements, water needs,\nand diet.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wild equids: Ecology, management, and conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","isbn":"9781421419091","usgsCitation":"Schoenecker, K., King, S.R., Nordquist, M.K., Dejid, N., and Cao, Q., 2016, Habitat and diet of equids, chap. 4 <i>of</i> Wild equids: Ecology, management, and conservation, p. 41-57.","productDescription":"17 p.","startPage":"41","endPage":"57","ipdsId":"IP-061371","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":370895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":370894,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://jhupbooks.press.jhu.edu/title/wild-equids/table-of-contents"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":778618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sarah R.B.","contributorId":221546,"corporation":false,"usgs":false,"family":"King","given":"Sarah","email":"","middleInitial":"R.B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":778619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nordquist, Megan K.","contributorId":221547,"corporation":false,"usgs":false,"family":"Nordquist","given":"Megan","email":"","middleInitial":"K.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":778620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dejid, Nandintsetseg","contributorId":221548,"corporation":false,"usgs":false,"family":"Dejid","given":"Nandintsetseg","email":"","affiliations":[{"id":40404,"text":"Goethe University, Germany","active":true,"usgs":false}],"preferred":false,"id":778621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cao, Quing","contributorId":221549,"corporation":false,"usgs":false,"family":"Cao","given":"Quing","email":"","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":778622,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216839,"text":"70216839 - 2016 - Fire and drought","interactions":[],"lastModifiedDate":"2020-12-09T14:46:59.175867","indexId":"70216839","displayToPublicDate":"2016-12-31T08:33:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Fire and drought","docAbstract":"<p><span>Historical and presettlement relationships between drought and wildfire have been well documented in much of North America, with forest fire occurrence and area burned clearly increasing in response to drought. Drought interacts with other controls (forest productivity, topography, and fire weather) to affect fire intensity and severity. Fire regime characteristics (area, frequency, severity) are the product of many individual fires, so both weather and climate - including short- and long-term droughts - are important. It is worth noting, however, that the factors controlling fire events and fire regimes are complex and extend beyond drought and climate alone, and so fire regimes and wildfires are affected by other variables from local-to-global scales. Fire history evidence from diverse climate regimes and forest ecosystems suggests that North American forest fire regimes were moderately to strongly controlled by climate prior to Euro-American settlement and subsequent fire exclusion and fire suppression (Flatley and others 2013, Hessl and others 2004, Heyerdahl and others 2002, Heyerdahl and others 2008, Swetnam 1990, Swetnam and Betancourt 1998, Weisberg and Swanson 2003). These presettlement fire histories indicate a relationship between low precipitation anomalies and widespread fire activity, especially in the Western United States. This is consistent with a regional depletion of soil and atmospheric moisture, which leads to low moisture in foliage and surface fuels and ultimately to the potential for widespread fire (Swetnam and Betancourt 1998). Some fire histories in the American Southwest also demonstrate a lagged relationship with above-average antecedent precipitation (Swetnam and Betancourt 1998) and/or cooler temperatures (Veblen and others 2000) in the year(s) prior to years of widespread fire. Most of these records are derived from fire-scarred trees that survived fire events and thus are primarily indicative of low- or mixedseverity fire regimes, although some work has focused also on evidence from high-severity fire regimes (Heyerdahl and others 2002).</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of drought on forests and rangelands in the United States: A comprehensive science synthesis. Gen. Tech. Rep. WO-93b","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U. S. Department of Agriculture","usgsCitation":"Littell, J.S., Peterson, D.L., Riley, K.L., Liu, Y., and Luce, C., 2016, Fire and drought, chap. 7 <i>of</i> Effects of drought on forests and rangelands in the United States: A comprehensive science synthesis. Gen. Tech. Rep. WO-93b, p. 135-154.","productDescription":"20 p.","startPage":"135","endPage":"154","ipdsId":"IP-063793","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381166,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/50971"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":806572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, David L.","contributorId":94643,"corporation":false,"usgs":false,"family":"Peterson","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":806573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riley, Karin L.","contributorId":169453,"corporation":false,"usgs":false,"family":"Riley","given":"Karin","email":"","middleInitial":"L.","affiliations":[{"id":25512,"text":"US Forest Service Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":806574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Yongquiang Q.","contributorId":245592,"corporation":false,"usgs":false,"family":"Liu","given":"Yongquiang Q.","affiliations":[{"id":25513,"text":"USDA Forest Service Southern Research Station","active":true,"usgs":false}],"preferred":false,"id":806575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luce, Charles H.","contributorId":245593,"corporation":false,"usgs":false,"family":"Luce","given":"Charles H.","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":806576,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70182766,"text":"70182766 - 2016 - Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA","interactions":[],"lastModifiedDate":"2019-02-01T15:58:49","indexId":"70182766","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA","docAbstract":"<p>This paper provides an overview on the genesis of Mesoproterozoic igneous rocks and associated iron oxide ± apatite (IOA) ± rare earth element, iron oxide-copper-gold (IOCG), and iron-rich sedimentary deposits in the St. Francois Mountains terrane of southeast Missouri, USA. The St. Francois Mountains terrane lies along the southeastern margin of Laurentia as part of the eastern granite-rhyolite province. The province formed during two major pulses of igneous activity: (1) an older early Mesoproterozoic (ca. 1.50–1.44 Ga) episode of volcanism and granite plutonism, and (2) a younger middle Mesoproterozoic (ca. 1.33–1.30 Ga) episode of bimodal gabbro and granite plutonism. The volcanic rocks are predominantly high-silica rhyolite pyroclastic flows, volcanogenic breccias, and associated volcanogenic sediments with lesser amounts of basaltic to andesitic volcanic and associated subvolcanic intrusive rocks. The iron oxide deposits are all hosted in the early Mesoproterozoic volcanic and volcaniclastic sequences. Previous studies have characterized the St. Francois Mountains terrane as a classic, A-type within-plate granitic terrane. However, our new whole-rock geochemical data indicate that the felsic volcanic rocks are effusive derivatives from multicomponent source types, having compositional similarities to A-type within-plate granites as well as to S- and I-type granites generated in an arc setting. In addition, the volcanic-hosted IOA and IOCG deposits occur within bimodal volcanic sequences, some of which have volcanic arc geochemical affinities, suggesting an extensional tectonic setting during volcanism prior to emplacement of the ore-forming systems.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.1825","usgsCitation":"Day, W.C., Slack, J.F., Ayuso, R.A., and Seeger, C.M., 2016, Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA: Economic Geology, v. 111, no. 8, p. 1825-1858, https://doi.org/10.2113/econgeo.111.8.1825.","productDescription":"34 p. ","startPage":"1825","endPage":"1858","ipdsId":"IP-067457","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":336811,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Mesoproterozoic St. Francois Mountains ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.97503662109375,\n              37.66425503616459\n            ],\n            [\n              -91.51611328125,\n      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Program","active":true,"usgs":true}],"preferred":true,"id":673676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":673677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":680561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seeger, Cheryl M.","contributorId":63848,"corporation":false,"usgs":true,"family":"Seeger","given":"Cheryl","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":680562,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193497,"text":"70193497 - 2016 - Resource potential for commodities in addition to Uranium in sandstone-hosted deposits","interactions":[],"lastModifiedDate":"2020-08-20T20:17:04.481889","indexId":"70193497","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5459,"text":"Reviews in Economic Geology","active":true,"publicationSubtype":{"id":24}},"chapter":"13","title":"Resource potential for commodities in addition to Uranium in sandstone-hosted deposits","docAbstract":"<p><span>Sandstone-hosted deposits mined primarily for their uranium content also have been a source of vanadium and modest amounts of copper. Processing of these ores has also recovered small amounts of molybdenum, rhenium, rare earth elements, scandium, and selenium. These deposits share a generally common origin, but variations in the source of metals, composition of ore-forming solutions, and geologic history result in complex variability in deposit composition. This heterogeneity is evident regionally within the same host rock, as well as within districts. Future recovery of elements associated with uranium in these deposits will be strongly dependent on mining and ore-processing methods.</span></p>","largerWorkTitle":"Rare earth and critical elements in ore deposits","language":"English","publisher":"Society of Economic Geologists","usgsCitation":"Breit, G.N., 2016, Resource potential for commodities in addition to Uranium in sandstone-hosted deposits, chap. 13 <i>of</i> Rare earth and critical elements in ore deposits: Reviews in Economic Geology, p. 323-338.","productDescription":"16 p.","startPage":"323","endPage":"338","ipdsId":"IP-057031","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":349564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e19","contributors":{"authors":[{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":719258,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196908,"text":"70196908 - 2016 - Winter and summer home ranges of American White Pelicans (Pelecanus erythrorhynchos) captured at loafing sites in the southeastern United States","interactions":[],"lastModifiedDate":"2018-05-14T13:17:12","indexId":"70196908","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Winter and summer home ranges of American White Pelicans (<i>Pelecanus erythrorhynchos</i>) captured at loafing sites in the southeastern United States","title":"Winter and summer home ranges of American White Pelicans (Pelecanus erythrorhynchos) captured at loafing sites in the southeastern United States","docAbstract":"<p><span>Satellite telemetry was used to investigate summer and winter home ranges for resident and migrant American White Pelicans (</span><i>Pelecanus erythrorhynchos</i><span>) captured in the southeastern United States between 2002 and 2007. Home range utilization distributions were calculated using 50% and 95% kernel density estimators with the plug-in bandwidth selector. Mean summer home ranges (95%) varied from 177 to 4,710 km</span><sup>2</sup><span><span>&nbsp;</span>and mean winter home ranges (95%) ranged from 185 to 916 km</span><sup>2</sup><span>. Mean 50% and 95% home ranges of adult American White Pelicans during summer tended to be larger than those during winter, whereas mean 50% and 95% home ranges of immature pelicans during summer tended to be smaller than those during winter. Home ranges for all American White Pelicans encompassed the latitude range of 24°–55° N, including wintering, stop over, and nesting habitat. These data provide baseline movement and home range data for future studies of American White Pelican ecology.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0308","usgsCitation":"King, D.T., Fischer, J.W., Strickland, B.K., Walter, W.D., Cunningham, F.L., and Wang, G., 2016, Winter and summer home ranges of American White Pelicans (Pelecanus erythrorhynchos) captured at loafing sites in the southeastern United States: Waterbirds, v. 39, no. 3, p. 287-294, https://doi.org/10.1675/063.039.0308.","productDescription":"8 p.","startPage":"287","endPage":"294","ipdsId":"IP-073597","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Louisiana, Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.2841796875,\n              27.916766641249065\n            ],\n            [\n              -83.5400390625,\n              27.916766641249065\n            ],\n            [\n              -83.5400390625,\n              36.73888412439431\n            ],\n            [\n              -96.2841796875,\n              36.73888412439431\n            ],\n            [\n              -96.2841796875,\n              27.916766641249065\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee922e4b0da30c1bfc529","contributors":{"authors":[{"text":"King, D. Tommy","contributorId":204839,"corporation":false,"usgs":false,"family":"King","given":"D.","email":"","middleInitial":"Tommy","affiliations":[],"preferred":false,"id":735085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Justin W.","contributorId":171828,"corporation":false,"usgs":false,"family":"Fischer","given":"Justin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":735086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strickland, Bronson K.","contributorId":146266,"corporation":false,"usgs":false,"family":"Strickland","given":"Bronson","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":735087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, W. David 0000-0003-3068-1073 wwalter@usgs.gov","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":5083,"corporation":false,"usgs":true,"family":"Walter","given":"W.","email":"wwalter@usgs.gov","middleInitial":"David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cunningham, Fred L.","contributorId":176522,"corporation":false,"usgs":false,"family":"Cunningham","given":"Fred","email":"","middleInitial":"L.","affiliations":[{"id":36282,"text":"USDA National Wildlife Research Center (NWRC) Mississippi Field Station, Starkville, MS","active":true,"usgs":false}],"preferred":false,"id":735088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Guiming","contributorId":204820,"corporation":false,"usgs":false,"family":"Wang","given":"Guiming","email":"","affiliations":[],"preferred":false,"id":735089,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193576,"text":"70193576 - 2016 - U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory","interactions":[],"lastModifiedDate":"2017-11-29T14:22:12","indexId":"70193576","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"subseriesTitle":"Field Guide 44","title":"U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory","docAbstract":"This 2016 Geological Society of America (GSA) Annual Meeting trip will explore\nthe Core Research Center, Paleontological Collection, and National Science Foundation\nNational Ice Core Laboratory—three collections of major national signifi cance\nmanaged by the U.S. Geological Survey (USGS). Since its inception in 1879, USGS\nhas collected, preserved, and managed physical collections for scientifi c investigations\nof Earth’s systems. The Core Research Center is the largest federal core repository\nin the United States, where over 74 million meters (242 million feet) of the subsurface\nare represented by the collection of rock cores and well cuttings, available for use by\nresearchers investigating resource potential, tectonics, structures, aquifers, and more.\nThe USGS has conducted paleontological research for more than 110 years to\ninform geological mapping, biostratigraphy, paleoecology, paleoclimate, and other\nresearch. Most of these paleontological samples are at the Smithsonian Institution\nNational Museum of Natural History (NMNH) and USGS Denver facilities. The\nUSGS Denver paleontological collection includes ~1.2 million samples. Ancillary\nmaterials consisting of handwritten ledgers, index cards, fi eld reports, maps, and\nother information produced by USGS investigators provide profound knowledge\nabout the specimens and associated geological systems. The USGS is working with\nNMNH to systematically digitize the collection to preserve and expose samples and\ndata to research.\nThe National Science Foundation (NSF) National Ice Core Laboratory (NICL) is\nthe nation’s repository for preserving, archiving, and sampling meteoric ice cores collected\nfrom the world’s ice sheets, ice caps, and glaciers, mostly from Antarctica and\nGreenland. NICL’s primary mission is to store and curate ice cores, primarily collected\nduring NSF-sponsored projects, for present and future sample investigations.","largerWorkTitle":"Unfolding the Geology of the West","language":"English","publisher":"The Geological Society of America","doi":"10.1130/2016.0044(06)","usgsCitation":"Latysh, N., 2016, U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory, chap. <i>of</i> Unfolding the Geology of the West, p. 143-150, https://doi.org/10.1130/2016.0044(06).","productDescription":"8 p.","startPage":"143","endPage":"150","ipdsId":"IP-075555","costCenters":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true}],"links":[{"id":349557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348070,"type":{"id":15,"text":"Index Page"},"url":"https://rock.geosociety.org/Store/detail.aspx?id=FLD044"}],"country":"United States","state":"Colorado","city":"Denver","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e17","contributors":{"authors":[{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true}],"preferred":true,"id":719417,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70197252,"text":"70197252 - 2016 - Nonmarine facies in the Late Triassic(?) to Early Jurassic Horn Mountain Tuff member of the Talkeetna Formation, Horn Mountain, lower Cook Inlet basin, Alaska","interactions":[],"lastModifiedDate":"2018-05-24T10:27:05","indexId":"70197252","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5388,"text":"Preliminary Interpretive Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2016-1-2","title":"Nonmarine facies in the Late Triassic(?) to Early Jurassic Horn Mountain Tuff member of the Talkeetna Formation, Horn Mountain, lower Cook Inlet basin, Alaska","docAbstract":"<p>The Talkeetna Formation is a prominent lithostratigraphic unit in south-central Alaska. In the Iniskin–Tuxedni area, Detterman and Hartsock (1966) divided the formation into three mappable units including, from oldest to youngest, the Marsh Creek Breccia, the Portage Creek Agglomerate, and the Horn Mountain Tuff Members. The Horn Mountain Tuff Member was thought to include rocks deposited in a nonmarine setting based on the presence of “tree stumps in an upright position” (Detterman and Hartsock, 1966, p. 19) near the top of the type section at Horn Mountain. Bull (2015) recognized possible nonmarine volcaniclastic rocks in the member during the 2014 field season in a saddle on the north side of Horn Mountain (figs. 2-1 and 2-2). The authors visited this location in 2015 and measured a short stratigraphic section to document facies, interpret depositional setting, and constrain age. This report summarizes our field observations and presents preliminary interpretations.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":" Petroleum-related geologic studies in lower Cook Inlet during 2015, Iniskin-Tuxedni region, south-central Alaska","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29535","usgsCitation":"LePain, D., Stanley, R.G., and Helmold, K., 2016, Nonmarine facies in the Late Triassic(?) to Early Jurassic Horn Mountain Tuff member of the Talkeetna Formation, Horn Mountain, lower Cook Inlet basin, Alaska: Preliminary Interpretive Report 2016-1-2, 12 p., https://doi.org/10.14509/29535.","productDescription":"12 p.","startPage":"9","endPage":"20","ipdsId":"IP-070339","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29535","text":"Publisher Index Page"},{"id":354445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lower Cook Inlet","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -153.446044921875,\n              60.17977000114811\n            ],\n            [\n              -148.919677734375,\n              60.17977000114811\n            ],\n            [\n              -148.919677734375,\n              62.32920841458002\n            ],\n            [\n              -153.446044921875,\n              62.32920841458002\n            ],\n            [\n              -153.446044921875,\n              60.17977000114811\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155f36e4b092d9651e1bf4","contributors":{"authors":[{"text":"LePain, D. L.","contributorId":104803,"corporation":false,"usgs":true,"family":"LePain","given":"D. L.","affiliations":[],"preferred":false,"id":736413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":736414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helmold, K. P.","contributorId":67796,"corporation":false,"usgs":true,"family":"Helmold","given":"K. P.","affiliations":[],"preferred":false,"id":736415,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196911,"text":"70196911 - 2016 - Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features","interactions":[],"lastModifiedDate":"2018-05-10T15:01:49","indexId":"70196911","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features","docAbstract":"<p><span>Satellite telemetry devices collect valuable information concerning the sites visited by animals, including the location of central places like dens, nests, rookeries, or haul‐outs. Existing methods for estimating the location of central places from telemetry data require user‐specified thresholds and ignore common nuances like measurement error. We present a fully model‐based approach for locating central places from telemetry data that accounts for multiple sources of uncertainty and uses all of the available locational data. Our general framework consists of an observation model to account for large telemetry measurement error and animal movement, and a highly flexible mixture model specified using a Dirichlet process to identify the location of central places. We also quantify temporal patterns in central place use by incorporating ancillary behavioral data into the model; however, our framework is also suitable when no such behavioral data exist. We apply the model to a simulated data set as proof of concept. We then illustrate our framework by analyzing an Argos satellite telemetry data set on harbor seals (</span><i>Phoca vitulina</i><span>) in the Gulf of Alaska, a species that exhibits fidelity to terrestrial haul‐out sites.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1618","usgsCitation":"Brost, B.M., Hooten, M., and Small, R.J., 2016, Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features: Ecology, v. 98, no. 1, p. 12-20, https://doi.org/10.1002/ecy.1618.","productDescription":"9 p.","startPage":"12","endPage":"20","ipdsId":"IP-074247","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.796875,\n              56.022948079627454\n            ],\n            [\n              -142.6904296875,\n              56.022948079627454\n            ],\n            [\n              -142.6904296875,\n              62.75472592723178\n            ],\n            [\n              -156.796875,\n              62.75472592723178\n            ],\n            [\n              -156.796875,\n              56.022948079627454\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"5afee922e4b0da30c1bfc527","contributors":{"authors":[{"text":"Brost, Brian M.","contributorId":171484,"corporation":false,"usgs":false,"family":"Brost","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":734981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Small, Robert J.","contributorId":171486,"corporation":false,"usgs":false,"family":"Small","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160599,"text":"70160599 - 2016 - U.S. Geological Survey assessment of global potash production and resources—A significant advancement for global development and a sustainable future.","interactions":[],"lastModifiedDate":"2017-04-26T11:20:04","indexId":"70160599","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"U.S. Geological Survey assessment of global potash production and resources—A significant advancement for global development and a sustainable future.","docAbstract":"During the past 15 yr, the global requirement for fertilizers has grown considerably, mainly due to demand by a larger and wealthier world population for more and higher-quality food. The demand and price for potash as a primary fertilizer ingredient have increased in tandem, because of the necessity to increase the quantity and quality of food production on the decreasing amount of available arable land. The primary sources of potash are evaporates, which occur mainly in marine salt basins and a few brine-bearing continental basins. World potash resources are large, but distribution is inequitable and not presently developed in countries where population and food requirements are large and increasing. There is no known substitute for potash in fertilizer, so knowledge of the world’s potash resources is critical for a sustainable future. The U.S. Geological Survey recently completed a global assessment of evaporite-hosted potash resources, which included a geographic information system–based inventory of known potash resources. This assessment included permissive areas or tracts for undiscovered resources at a scale of 1:1,000,000. Assessments of undiscovered potash resources were conducted for a number of the world’s evaporite-hosted potash basins. The data collected provide a major advance in our knowledge of global potash resources that did not exist prior to this study. The two databases include: (1) potash deposits and occurrences, and (2) potash tracts (basins that contain these deposits and occurrences and potentially undiscovered potash deposits). Data available include geology, mineralogy, grade, tonnage, depth, thickness, areal extent, and structure, as well as numerous pertinent references.","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.2520(10)​","usgsCitation":"Cocker, M.D., Orris, G.J., and Wynn, J., 2016, U.S. Geological Survey assessment of global potash production and resources—A significant advancement for global development and a sustainable future.: GSA Special Papers, v. 520, 10 p., https://doi.org/10.1130/2016.2520(10)​.","productDescription":"10 p.","ipdsId":"IP-062993","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":340443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"520","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bae4b0c2e071a99b98","contributors":{"authors":[{"text":"Cocker, Mark D. 0000-0001-9435-5862 mcocker@usgs.gov","orcid":"https://orcid.org/0000-0001-9435-5862","contributorId":4297,"corporation":false,"usgs":true,"family":"Cocker","given":"Mark","email":"mcocker@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":583237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orris, Greta J. 0000-0002-2340-9955 greta@usgs.gov","orcid":"https://orcid.org/0000-0002-2340-9955","contributorId":3472,"corporation":false,"usgs":true,"family":"Orris","given":"Greta","email":"greta@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":583238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wynn, Jeff 0000-0002-8102-3882 jwynn@usgs.gov","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":2803,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","email":"jwynn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":583239,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197971,"text":"70197971 - 2016 - Changes in blast zone albedo patterns around new martian impact craters","interactions":[],"lastModifiedDate":"2018-11-01T15:04:16","indexId":"70197971","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Changes in blast zone albedo patterns around new martian impact craters","docAbstract":"<p>“Blast zones” (BZs) around new martian craters comprise various albedo features caused by the initial impact, including diffuse halos, extended linear and arcuate rays, secondary craters, ejecta patterns, and dust avalanches. We examined these features for changes in repeat images separated by up to four Mars years. Here we present the first comprehensive survey of the qualitative and quantitative changes observed in impact blast zones over time. Such changes are most likely due to airfall of high-albedo dust restoring darkened areas to their original albedo, the albedo of adjacent non-impacted surfaces. Although some sites show drastic changes over short timescales, nearly half of the sites show no obvious changes over several Mars years. Albedo changes are more likely to occur at higher-latitude sites, lower-elevation sites, and at sites with smaller central craters. No correlation was seen between amount of change and Dust Cover Index, relative halo size, or historical regional albedo changes. Quantitative albedo measurements of the diffuse dark halos relative to their surroundings yielded estimates of fading lifetimes for these features. The average lifetime among sites with measurable fading is ∼15 Mars years; the median is ∼8 Mars years for a linear brightening. However, at approximately half of sites with three or more repeat images, a nonlinear function with rapid initial fading followed by a slow increase in albedo provides a better fit to the fading behavior; this would predict even longer lifetimes. The predicted lifetimes of BZs are comparable to those of slope streaks, and considered representative of fading by global atmospheric dust deposition; they last significantly longer than dust devil or rover tracks, albedo features that are erased by different processes. These relatively long lifetimes indicate that the measurement of the current impact rate by Daubar et al. does not suffer significantly from overall under-sampling due to blast zones fading before new impact sites can be initially discovered. However, the prevalence of changes seen around smaller craters may explain in part their shallower size frequency distribution.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2015.11.032","usgsCitation":"Daubar, I.J., Dundas, C.M., Byrne, S., Geissler, P.E., Bart, G., McEwen, A.S., Russell, P., Chojnacki, M., and Golombek, M., 2016, Changes in blast zone albedo patterns around new martian impact craters: Icarus, v. 267, p. 86-105, https://doi.org/10.1016/j.icarus.2015.11.032.","productDescription":"20 p.","startPage":"86","endPage":"105","ipdsId":"IP-065072","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":355431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"267","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e7b2e4b060350a15d321","contributors":{"authors":[{"text":"Daubar, Ingrid J.","contributorId":204233,"corporation":false,"usgs":false,"family":"Daubar","given":"Ingrid","email":"","middleInitial":"J.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":739393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":739394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":739395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geissler, Paul E. pgeissler@usgs.gov","contributorId":2811,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","email":"pgeissler@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":739392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bart, Gwen","contributorId":206095,"corporation":false,"usgs":false,"family":"Bart","given":"Gwen","affiliations":[{"id":37244,"text":"UIdaho","active":true,"usgs":false}],"preferred":false,"id":739398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":739396,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Russell, Patrick","contributorId":206094,"corporation":false,"usgs":false,"family":"Russell","given":"Patrick","affiliations":[{"id":37243,"text":"SI","active":true,"usgs":false}],"preferred":false,"id":739397,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chojnacki, Matthew","contributorId":201621,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":739399,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Golombek, M.P.","contributorId":52696,"corporation":false,"usgs":true,"family":"Golombek","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":739404,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
]}