{"pageNumber":"983","pageRowStart":"24550","pageSize":"25","recordCount":184660,"records":[{"id":70193275,"text":"70193275 - 2017 - Otolith marking of juvenile shortnose gar by immersion in oxytetracycline","interactions":[],"lastModifiedDate":"2017-11-11T16:38:38","indexId":"70193275","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Otolith marking of juvenile shortnose gar by immersion in oxytetracycline","docAbstract":"<p>Oxytetracycline (OTC) has been used to mark a variety of fish species at multiple developmental stages; however, there is little information on batch-marking Lepisosteidae. Juvenile Shortnose Gar <i>Lepisosteus platostomus</i> (53 ± 3 mm TL) were seined from an Oklahoma State University research pond and transported to the Oklahoma Fishery Research Lab. Juvenile Shortnose Gar were exposed to a range of OTC concentrations—0, 500, 600, and 700 mg/L—for 4, 5, or 6 h. Lapillus and sagitta otoliths were examined 14 d postexposure for mark presence and evaluation using fluorescent microscopy. Overall, 93.3% of otoliths exposed to OTC exhibited a mark. Concentration of OTC affected the mean mark quality, whereas duration and otolith type examined did not. However, as concentration increased, so did mortality, suggesting a balance is needed to achieve marking goals. Based on our findings, batch marking of Shortnose Gar can be successful at OTC concentrations from 500 to 700 mg/L for 4–6 h, although mark quality may vary and mortality rates increase at the higher concentrations and longer durations.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1317679","usgsCitation":"Snow, R.A., and Long, J.M., 2017, Otolith marking of juvenile shortnose gar by immersion in oxytetracycline: North American Journal of Fisheries Management, v. 37, no. 4, p. 724-728, https://doi.org/10.1080/02755947.2017.1317679.","productDescription":"5 p.","startPage":"724","endPage":"728","ipdsId":"IP-081152","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-06","publicationStatus":"PW","scienceBaseUri":"5a07e8d2e4b09af898c8cbbb","contributors":{"authors":[{"text":"Snow, Richard A.","contributorId":176213,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":718499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718498,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192680,"text":"70192680 - 2017 - Enclosed nests may provide greater thermal than nest predation benefits compared with open nests across latitudes","interactions":[],"lastModifiedDate":"2017-12-01T13:25:21","indexId":"70192680","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Enclosed nests may provide greater thermal than nest predation benefits compared with open nests across latitudes","docAbstract":"<ol id=\"fec12819-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Nest structure is thought to provide benefits that have fitness consequences for several taxa. Traditionally, reduced nest predation has been considered the primary benefit underlying evolution of nest structure, whereas thermal benefits have been considered a secondary or even non-existent factor. Yet, the relative roles of these factors on nest structures remain largely unexplored.</li><li>Enclosed nests have a constructed or natural roof connected to sides that allow a restricted opening or tube entrance that provides cover in all directions except the entrance, whereas open nests are cups or platforms that are open above. We show that construction of enclosed nests is more common among songbirds (Passeriformes) in tropical and southern hemisphere regions than in north temperate regions. This geographic pattern may reflect selection from predation risk, under long-standing assumptions that nest predation rates are higher in southern regions and that enclosed nests reduce predation risk compared with open cup nests. We therefore compared nest predation rates between enclosed vs. open nests in 114 songbird species that do not nest in tree holes among five communities of coexisting birds, and for 205 non-hole-nesting species from the literature, across northern temperate, tropical, and southern hemisphere regions.</li><li>Among coexisting species, enclosed nests had lower nest predation rates than open nests in two south temperate sites, but not in either of two tropical sites or a north temperate site. Nest predation did not differ between nest types at any latitude based on literature data. Among 319 species from both our field studies and the literature, enclosed nests did not show consistent benefits of reduced predation and, in fact, predation was not consistently higher in the tropics, contrary to long-standing perspectives.</li><li>Thermal benefits of enclosed nests were indicated based on three indirect results. First, species that built enclosed nests were smaller than species using open nests both among coexisting species and among species from the literature. Smaller species lose heat fastest and thereby may gain important thermal benefits from reduced convective cooling. Second, eggs were warmed by parents for less time in species with enclosed nests, as can be expected if egg cooling rates are slower. Finally, species using enclosed nests exhibited enhanced growth of mass and wings compared with species using open nests, suggesting reduced thermoregulatory costs allowed increased energy for growth.</li><li>Enclosed nests may therefore provide more consistent thermal than nest predation benefits, counter to long-standing perspectives.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.12819","usgsCitation":"Martin, T.E., Boyce, A.J., Fierro-Calderon, K., Mitchell, A.E., Armstad, C.E., Mouton, J.C., and Bin Soudi, E.E., 2017, Enclosed nests may provide greater thermal than nest predation benefits compared with open nests across latitudes: Functional Ecology, v. 31, no. 6, p. 1231-1240, https://doi.org/10.1111/1365-2435.12819.","productDescription":"10 p.","startPage":"1231","endPage":"1240","ipdsId":"IP-066309","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469793,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.12819","text":"Publisher Index Page"},{"id":349636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-25","publicationStatus":"PW","scienceBaseUri":"5a60fbbee4b06e28e9c23546","contributors":{"authors":[{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyce, Andy J.","contributorId":200182,"corporation":false,"usgs":false,"family":"Boyce","given":"Andy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fierro-Calderon, Karolina","contributorId":13500,"corporation":false,"usgs":true,"family":"Fierro-Calderon","given":"Karolina","email":"","affiliations":[],"preferred":false,"id":724299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Adam E.","contributorId":166758,"corporation":false,"usgs":false,"family":"Mitchell","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":724300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstad, Connor E.","contributorId":201088,"corporation":false,"usgs":false,"family":"Armstad","given":"Connor","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":724301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mouton, James C.","contributorId":198675,"corporation":false,"usgs":false,"family":"Mouton","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":724302,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bin Soudi, Evertius E.","contributorId":201089,"corporation":false,"usgs":false,"family":"Bin Soudi","given":"Evertius","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":724303,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193537,"text":"70193537 - 2017 - Motivations for enrollment into the Conservation Reserve Enhancement Program in the James River Basin of South Dakota","interactions":[],"lastModifiedDate":"2017-11-06T10:25:06","indexId":"70193537","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Motivations for enrollment into the Conservation Reserve Enhancement Program in the James River Basin of South Dakota","docAbstract":"<p><span>The Conservation Reserve Enhancement Program (CREP) targets high-priority conservation needs (e.g., water quality, wildlife habitat) by paying landowners an annual rental rate to remove environmentally sensitive or agriculturally unproductive lands from rowcrop production, and then implement conservation practices on these lands. This study examined motivations of South Dakota landowners for enrolling in the James River Basin CREP. All 517 newly enrolled landowners were mailed a questionnaire in 2014 measuring demographics, behaviors, opinions, and motivations (60% response rate). Cluster analysis of 10 motivations for enrolling identified three motivation groups (wildlife&nbsp;=&nbsp;40%, financial&nbsp;=&nbsp;35%, environmental&nbsp;=&nbsp;25%). The financial group had the youngest mean age (62&nbsp;years), followed by the wildlife (65) and environmental groups (68). Among respondents, 43% favored the public access requirement of this CREP with the environmental group most in favor. Understanding landowner enrollment motivations and decision criteria will assist in strategies (e.g., financial incentives, increasing yield via habitat restoration) for increasing future participation.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2017.1324069","usgsCitation":"Pfrimmer, J., Gigliotti, L.M., Stafford, J., Schumann, D., and Bertrand, K., 2017, Motivations for enrollment into the Conservation Reserve Enhancement Program in the James River Basin of South Dakota: Human Dimensions of Wildlife, v. 22, no. 4, p. 382-389, https://doi.org/10.1080/10871209.2017.1324069.","productDescription":"8 p.","startPage":"382","endPage":"389","ipdsId":"IP-077042","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"James River Basin","volume":"22","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a00314fe4b0531197b5a744","contributors":{"authors":[{"text":"Pfrimmer, Jarrett","contributorId":199502,"corporation":false,"usgs":false,"family":"Pfrimmer","given":"Jarrett","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":719303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua","contributorId":199503,"corporation":false,"usgs":false,"family":"Stafford","given":"Joshua","affiliations":[{"id":561,"text":"South Dakota Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":719304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schumann, David","contributorId":199504,"corporation":false,"usgs":false,"family":"Schumann","given":"David","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":719305,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bertrand, Katie","contributorId":199505,"corporation":false,"usgs":false,"family":"Bertrand","given":"Katie","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":719306,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192187,"text":"70192187 - 2017 - Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change","interactions":[],"lastModifiedDate":"2017-10-23T13:41:14","indexId":"70192187","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":922,"text":"Atmospheric Chemistry and Physics","active":true,"publicationSubtype":{"id":10}},"title":"Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change","docAbstract":"<p><span>The degree to which cloud immersion provides water in addition to rainfall, suppresses transpiration, and sustains tropical montane cloud forests (TMCFs) during rainless periods is not well understood. Climate and land use changes represent a threat to these forests if cloud base altitude rises as a result of regional warming or deforestation. To establish a baseline for quantifying future changes in cloud base, we installed a ceilometer at 100 m altitude in the forest upwind of the TMCF that occupies an altitude range from ∼ 600 m to the peaks at 1100 m in the Luquillo Mountains of eastern Puerto Rico. Airport Automated Surface Observing System (ASOS) ceilometer data, radiosonde data, and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite data were obtained to investigate seasonal cloud base dynamics, altitude of the trade-wind inversion (TWI), and typical cloud thickness for the surrounding Caribbean region. Cloud base is rarely quantified near mountains, so these results represent a first look at seasonal and diurnal cloud base dynamics for the TMCF. From May&nbsp;2013 to August&nbsp;2016, cloud base was lowest during the midsummer dry season, and cloud bases were lower than the mountaintops as often in the winter dry season as in the wet seasons. The lowest cloud bases most frequently occurred at higher elevation than 600 m, from 740 to 964 m. The Luquillo forest low cloud base altitudes were higher than six other sites in the Caribbean by ∼ 200–600 m, highlighting the importance of site selection to measure topographic influence on cloud height. Proximity to the oceanic cloud system where shallow cumulus clouds are seasonally invariant in altitude and cover, along with local trade-wind orographic lifting and cloud formation, may explain the dry season low clouds. The results indicate that climate change threats to low-elevation TMCFs are not limited to the dry season; changes in synoptic-scale weather patterns that increase frequency of drought periods during the wet seasons (periods of higher cloud base) may also impact ecosystem health.</span></p>","language":"English","publisher":"European Geophysical Union","doi":"10.5194/acp-17-7245-2017","usgsCitation":"Van Beusekom, A.E., Gonzalez, G., and Scholl, M.A., 2017, Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change: Atmospheric Chemistry and Physics, v. 17, no. 11, p. 7245-7259, https://doi.org/10.5194/acp-17-7245-2017.","productDescription":"15 p.","startPage":"7245","endPage":"7259","ipdsId":"IP-084476","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469802,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/acp-17-7245-2017","text":"Publisher Index Page"},{"id":347125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Luquillo Mountains, Puerto Rico","volume":"17","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-16","publicationStatus":"PW","scienceBaseUri":"59eeffa8e4b0220bbd988f9c","contributors":{"authors":[{"text":"Van Beusekom, Ashley E.","contributorId":197950,"corporation":false,"usgs":false,"family":"Van Beusekom","given":"Ashley","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, Grizelle","contributorId":191117,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Grizelle","email":"","affiliations":[],"preferred":false,"id":714641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714639,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196784,"text":"70196784 - 2017 - Forecasted range shifts of arid-land fishes in response to climate change","interactions":[],"lastModifiedDate":"2021-06-04T15:37:31.242636","indexId":"70196784","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Forecasted range shifts of arid-land fishes in response to climate change","docAbstract":"<p><span>Climate change is poised to alter the distributional limits, center, and size of many species. Traits may influence different aspects of range shifts, with trophic generality facilitating shifts at the leading edge, and greater thermal tolerance limiting contractions at the trailing edge. The generality of relationships between traits and range shifts remains ambiguous however, especially for imperiled fishes residing in xeric riverscapes. Our objectives were to quantify contemporary fish distributions in the Lower Colorado River Basin, forecast climate change by 2085 using two general circulation models, and quantify shifts in the limits, center, and size of fish elevational ranges according to fish traits. We examined relationships among traits and range shift metrics either singly using univariate linear modeling or combined with multivariate redundancy analysis. We found that trophic and dispersal traits were associated with shifts at the leading and trailing edges, respectively, although projected range shifts were largely unexplained by traits. As expected, piscivores and omnivores with broader diets shifted upslope most at the leading edge while more specialized invertivores exhibited minimal changes. Fishes that were more mobile shifted upslope most at the trailing edge, defying predictions. No traits explained changes in range center or size. Finally, current preference explained multivariate range shifts, as fishes with faster current preferences exhibited smaller multivariate changes. Although range shifts were largely unexplained by traits, more specialized invertivorous fishes with lower dispersal propensity or greater current preference may require the greatest conservation efforts because of their limited capacity to shift ranges under climate change.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11160-017-9479-9","usgsCitation":"Whitney, J.E., Whittier, J.B., Paukert, C.P., Olden, J., and Strecker, A.L., 2017, Forecasted range shifts of arid-land fishes in response to climate change: Reviews in Fish Biology and Fisheries, v. 27, no. 2, p. 463-479, https://doi.org/10.1007/s11160-017-9479-9.","productDescription":"17 p.","startPage":"463","endPage":"479","ipdsId":"IP-076776","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-09","publicationStatus":"PW","scienceBaseUri":"5afee86ce4b0da30c1bfc447","contributors":{"authors":[{"text":"Whitney, James E.","contributorId":176500,"corporation":false,"usgs":false,"family":"Whitney","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":734386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":734387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":734388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strecker, Angela L.","contributorId":43256,"corporation":false,"usgs":true,"family":"Strecker","given":"Angela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":734389,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196587,"text":"70196587 - 2017 - Quantile regression of microgeographic variation in population characteristics of an invasive vertebrate predator","interactions":[],"lastModifiedDate":"2018-04-19T09:45:54","indexId":"70196587","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","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":"Quantile regression of microgeographic variation in population characteristics of an invasive vertebrate predator","docAbstract":"<p><span>Localized ecological conditions have the potential to induce variation in population characteristics such as size distributions and body conditions. The ability to generalize the influence of ecological characteristics on such population traits may be particularly meaningful when those traits influence prospects for successful management interventions. To characterize variability in invasive Brown Treesnake population attributes within and among habitat types, we conducted systematic and seasonally-balanced surveys, collecting 100 snakes from each of 18 sites: three replicates within each of six major habitat types comprising 95% of Guam’s geographic expanse. Our study constitutes one of the most comprehensive and controlled samplings of any published snake study. Quantile regression on snake size and body condition indicated significant ecological heterogeneity, with a general trend of relative consistency of size classes and body conditions within and among scrub and&nbsp;</span><i>Leucaena</i><span><span>&nbsp;</span>forest habitat types and more heterogeneity among ravine forest, savanna, and urban residential sites. Larger and more robust snakes were found within some savanna and urban habitat replicates, likely due to relative availability of larger prey. Compared to more homogeneous samples in the wet season, variability in size distributions and body conditions was greater during the dry season. Although there is evidence of habitat influencing Brown Treesnake populations at localized scales (e.g., the higher prevalence of larger snakes—particularly males—in savanna and urban sites), the level of variability among sites within habitat types indicates little ability to make meaningful predictions about these traits at unsampled locations. Seasonal variability within sites and habitats indicates that localized population characterization should include sampling in both wet and dry seasons. Extreme values at single replicates occasionally influenced overall habitat patterns, while pooling replicates masked variability among sites. A full understanding of population characteristics should include an assessment of variability both at the site and habitat level.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0177671","usgsCitation":"Siers, S.R., Savidge, J.A., and Reed, R., 2017, Quantile regression of microgeographic variation in population characteristics of an invasive vertebrate predator: PLoS ONE, v. 12, no. 6, p. 1-19, https://doi.org/10.1371/journal.pone.0177671.","productDescription":"e0177671; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-083442","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469811,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0177671","text":"Publisher Index Page"},{"id":353601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Guam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              144.6075439453125,\n              13.239945499286312\n            ],\n            [\n              144.95773315429685,\n              13.239945499286312\n            ],\n            [\n              144.95773315429685,\n              13.657997240451978\n            ],\n            [\n              144.6075439453125,\n              13.657997240451978\n            ],\n            [\n              144.6075439453125,\n              13.239945499286312\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"5afee86ce4b0da30c1bfc449","contributors":{"authors":[{"text":"Siers, Shane R.","contributorId":152305,"corporation":false,"usgs":false,"family":"Siers","given":"Shane","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":733714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savidge, Julie A.","contributorId":175196,"corporation":false,"usgs":false,"family":"Savidge","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":733715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":733713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191864,"text":"70191864 - 2017 - Re-Os systematics and geochemistry of cobaltite (CoAsS) in the Idaho cobalt belt, Belt-Purcell Basin, USA: Evidence for middle Mesoproterozoic sediment-hosted Co-Cu sulfide mineralization with Grenvillian and Cretaceous remobilization","interactions":[],"lastModifiedDate":"2017-10-18T14:54:12","indexId":"70191864","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Re-Os systematics and geochemistry of cobaltite (CoAsS) in the Idaho cobalt belt, Belt-Purcell Basin, USA: Evidence for middle Mesoproterozoic sediment-hosted Co-Cu sulfide mineralization with Grenvillian and Cretaceous remobilization","docAbstract":"<p id=\"sp0010\">We report the first study of the Re-Os systematics of cobaltite (CoAsS) using disseminated grains and massive sulfides from samples of two breccia-type and two stratabound deposits in the Co-Cu-Au Idaho cobalt belt (ICB), Lemhi subbasin to the Belt-Purcell Basin, Idaho, USA. Using a<span>&nbsp;</span><sup>185</sup>Re&nbsp;+&nbsp;<sup>190</sup>Os spike solution, magnetic and non-magnetic fractions of cobaltite mineral separates give reproducible Re-Os analytical data for aliquot sizes of 150 to 200&nbsp;mg. Cobaltite from the ICB has highly radiogenic<span>&nbsp;</span><sup>187</sup>Os/<sup>188</sup>Os ratios (17–45) and high<span>&nbsp;</span><sup>187</sup>Re/<sup>188</sup>Os ratios (600–1800) but low Re and total Os contents (ca. 0.4–4&nbsp;ppb and 14–64 ppt, respectively). Containing 30 to 74% radiogenic<span>&nbsp;</span><sup>187</sup>Os, cobaltite from the ICB is amenable to Re-Os age determination using the isochron regression approach.</p><p id=\"sp0015\">Re-Os data for disseminated cobaltite mineralization in a quartz-tourmaline breccia from the Haynes-Stellite deposit yield a Model 1 isochron age of 1349&nbsp;±&nbsp;76&nbsp;Ma (2σ,<span>&nbsp;</span><i>n</i>&nbsp;=&nbsp;4, mean squared weighted deviation MSWD&nbsp;=&nbsp;2.1, initial<span>&nbsp;</span><sup>187</sup>Os/<sup>188</sup>Os ratio&nbsp;=&nbsp;4.7&nbsp;±&nbsp;2.2). This middle Mesoproterozoic age is preserved despite a possible metamorphic overprint or a pulse of metamorphic-hydrothermal remobilization of pre-existing cobaltite that formed along fold cleavages during the ca. 1190–1006&nbsp;Ma Grenvillian orogeny. This phase of remobilization is tentatively identified by a Model 3 isochron age of 1132&nbsp;±&nbsp;240&nbsp;Ma (2σ,<span>&nbsp;</span><i>n</i>&nbsp;=&nbsp;7, MSWD&nbsp;=&nbsp;9.3, initial<span>&nbsp;</span><sup>187</sup>Os/<sup>188</sup>Os ratio of 9.0&nbsp;±&nbsp;2.9) for cobaltite in the quartz-tourmaline breccia from the Idaho zone in the Blackbird mine.</p><p id=\"sp0020\">All Mesoproterozoic cobaltite mineralization in the district was affected by greenschist- to lower amphibolite-facies (garnet zone) metamorphism during the Late Jurassic to Late Cretaceous Cordilleran orogeny. However, the fine- to coarse-grained massive cobaltite mineralization from the shear zone-hosted Chicago zone, Blackbird mine, is the only studied deposit that has severely disturbed Re-Os systematics with evidence for a linear trend of mixing with (metamorphic?) fluids.</p><p id=\"sp0025\">The new Re-Os ages and extremely high initial<span>&nbsp;</span><sup>187</sup>Os/<sup>188</sup>Os ratios of cobaltite reported here favor a magmatic-hydrothermal genetic model for a multi-stage REE-Y-Co-Cu-Au mineralization occurring at ca. 1370 to 1349&nbsp;Ma, and related to the emplacement of the Big Deer Creek granite pluton at ca. 1377&nbsp;Ma. In our model, deposition of paragenetically early xenotime and gadolinite was followed by an influx of Mesoproterozoic evaporitic brines and magmatic-hydrothermal fluids containing metals and reduced sulfur derived from mafic and oceanic island-arc Archean to Paleoproterozoic rocks in the Laurentian basement. Cobaltite mineralization occurred upon cooling of these fluids at an inferred temperature of 300&nbsp;°C or below.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2017.02.032","usgsCitation":"Saintilan, N., Creaser, R., and Bookstrom, A.A., 2017, Re-Os systematics and geochemistry of cobaltite (CoAsS) in the Idaho cobalt belt, Belt-Purcell Basin, USA: Evidence for middle Mesoproterozoic sediment-hosted Co-Cu sulfide mineralization with Grenvillian and Cretaceous remobilization: Ore Geology Reviews, v. 86, p. 509-525, https://doi.org/10.1016/j.oregeorev.2017.02.032.","productDescription":"17 p.","startPage":"509","endPage":"525","ipdsId":"IP-081448","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":469801,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2017.02.032","text":"Publisher Index Page"},{"id":346892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Belt-Purcell Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.5,\n              44.9\n            ],\n            [\n              -114,\n              44.9\n            ],\n            [\n              -114,\n              45.5\n            ],\n            [\n              -114.5,\n              45.5\n            ],\n            [\n              -114.5,\n              44.9\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"86","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e86836e4b05fe04cd4d1f8","contributors":{"authors":[{"text":"Saintilan, N.J.","contributorId":197409,"corporation":false,"usgs":false,"family":"Saintilan","given":"N.J.","email":"","affiliations":[],"preferred":false,"id":713445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creaser, R.A.","contributorId":197410,"corporation":false,"usgs":false,"family":"Creaser","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":713447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bookstrom, Arthur A. 0000-0003-1336-3364 abookstrom@usgs.gov","orcid":"https://orcid.org/0000-0003-1336-3364","contributorId":1542,"corporation":false,"usgs":true,"family":"Bookstrom","given":"Arthur","email":"abookstrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192133,"text":"70192133 - 2017 - Projecting community changes in hazard exposure to support long-term risk reduction: A case study of tsunami hazards in the U.S. Pacific Northwest","interactions":[],"lastModifiedDate":"2017-10-23T14:46:19","indexId":"70192133","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Projecting community changes in hazard exposure to support long-term risk reduction: A case study of tsunami hazards in the U.S. Pacific Northwest","docAbstract":"<p><span>Tsunamis have the potential to cause considerable damage to communities along the U.S. Pacific Northwest coastline. As coastal communities expand over time, the potential societal impact of tsunami inundation changes. To understand how community exposure to tsunami hazards may change in coming decades, we projected future development (i.e. urban, residential, and rural), households, and residents over a 50-year period (2011–2061) along the Washington, Oregon, and northern California coasts. We created a spatially explicit, land use/land cover, state-and-transition simulation model to project future developed land use based on historical development trends. We then compared our development projection results to tsunami-hazard zones associated with a Cascadia subduction zone (CSZ) earthquake. Changes in tsunami-hazard exposure by 2061 were estimated for 50 incorporated cities, 7 tribal reservations, and 17 counties relative to current (2011) estimates. Across the region, 2061 population exposure in tsunami-hazard zones was projected to increase by 3880 households and 6940 residents. The top ten communities with highest population exposure to CSZ-related tsunamis in 2011 are projected to remain the areas with the highest population exposure by 2061. The largest net population increases in tsunami-hazard zones were projected in the unincorporated portions of several counties, including Skagit, Coos, and Humboldt. Land-change simulation modeling of projected future development serves as an exploratory tool aimed at helping local governments understand the hazard-exposure implications of community growth and to include this knowledge in risk-reduction planning.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2017.02.015","usgsCitation":"Sleeter, B.M., Wood, N.J., Soulard, C.E., and Wilson, T., 2017, Projecting community changes in hazard exposure to support long-term risk reduction: A case study of tsunami hazards in the U.S. Pacific Northwest: International Journal of Disaster Risk Reduction, v. 22, p. 10-22, https://doi.org/10.1016/j.ijdrr.2017.02.015.","productDescription":"13 p.","startPage":"10","endPage":"22","ipdsId":"IP-080885","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469853,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2017.02.015","text":"Publisher Index Page"},{"id":347145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.3759765625,\n              39.639537564366684\n            ],\n            [\n              -119.970703125,\n              39.639537564366684\n            ],\n            [\n              -119.970703125,\n              49.03786794532644\n            ],\n            [\n              -125.3759765625,\n              49.03786794532644\n            ],\n            [\n              -125.3759765625,\n              39.639537564366684\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa8e4b0220bbd988fa0","contributors":{"authors":[{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714355,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188990,"text":"70188990 - 2017 - Can wolves help save Japan's mountain forests?","interactions":[],"lastModifiedDate":"2017-06-28T14:50:34","indexId":"70188990","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2093,"text":"International Wolf","active":true,"publicationSubtype":{"id":10}},"title":"Can wolves help save Japan's mountain forests?","docAbstract":"Japan’s wolves were extinct by 1905.  Today Japan's mountain forests are being killed by overabundant sika deer and wild boars. Since the early 1990s, the Japan Wolf Association has proposed wolf reintroduction to Japan to restore rural ecology and to return a culturally important animal.  In this article I discuss whether the return of wolves could help save Japan's mountain forests.","language":"English","publisher":"International Wolf Center","usgsCitation":"Barber-Meyer, S., 2017, Can wolves help save Japan's mountain forests?: International Wolf, v. Summer 2017, p. 30-31.","productDescription":"2 p.","startPage":"30","endPage":"31","ipdsId":"IP-081236","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":343085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343078,"type":{"id":15,"text":"Index Page"},"url":"https://www.wolf.org/wolf-info/wolf-magazine/"}],"volume":"Summer 2017","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1d2e4b0d1f9f05b37b4","contributors":{"authors":[{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":191875,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":702293,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190145,"text":"70190145 - 2017 - Biogenic non-crystalline U(IV) revealed as major component in uranium ore deposits","interactions":[],"lastModifiedDate":"2017-08-11T18:01:21","indexId":"70190145","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Biogenic non-crystalline U<sup>(IV)</sup> revealed as major component in uranium ore deposits","title":"Biogenic non-crystalline U(IV) revealed as major component in uranium ore deposits","docAbstract":"<p><span>Historically, it is believed that crystalline uraninite, produced via the abiotic reduction of hexavalent uranium (U</span><sup>(VI)</sup><span>) is the dominant reduced U species formed in low-temperature uranium roll-front ore deposits. Here we show that non-crystalline U</span><sup>(IV)</sup><span>&nbsp;generated through biologically mediated U</span><sup>(VI)</sup><span>&nbsp;reduction is the predominant U</span><sup>(IV)</sup><span>&nbsp;species in an undisturbed U roll-front ore deposit in Wyoming, USA. Characterization of U species revealed that the majority (</span><span class=\"stix\"><span class=\"stix\">∼</span></span><span>58-89%) of U is bound as U</span><sup>(IV)</sup><span>to C-containing organic functional groups or inorganic carbonate, while uraninite and U</span><sup>(VI)</sup><span><span>&nbsp;</span>represent only minor components. The uranium deposit exhibited mostly<span>&nbsp;</span></span><sup>238</sup><span>U-enriched isotope signatures, consistent with largely biotic reduction of U</span><sup>(VI)</sup><span><span>&nbsp;</span>to U</span><sup>(IV)</sup><span>. This finding implies that biogenic processes are more important to uranium ore genesis than previously understood. The predominance of a relatively labile form of U</span><sup>(IV)</sup><span><span>&nbsp;</span>also provides an opportunity for a more economical and environmentally benign mining process, as well as the design of more effective post-mining restoration strategies and human health-risk assessment.</span></p>","language":"English","publisher":"Nature Publishing","doi":"10.1038/ncomms15538","usgsCitation":"Bhattacharyya, A., Campbell, K.M., Kelly, S., Roebbert, Y., Weyer, S., Bernier-Latmani, R., and Borch, T., 2017, Biogenic non-crystalline U(IV) revealed as major component in uranium ore deposits: Nature Communications, v. 8, Article: 15538: 8 p., https://doi.org/10.1038/ncomms15538.","productDescription":"Article: 15538: 8 p.","ipdsId":"IP-081351","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469805,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ncomms15538","text":"Publisher Index Page"},{"id":344769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"598e9065e4b09fa1cb160974","contributors":{"authors":[{"text":"Bhattacharyya, Amrita","contributorId":195626,"corporation":false,"usgs":false,"family":"Bhattacharyya","given":"Amrita","email":"","affiliations":[],"preferred":false,"id":707685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Shelly","contributorId":195627,"corporation":false,"usgs":false,"family":"Kelly","given":"Shelly","email":"","affiliations":[],"preferred":false,"id":707686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roebbert, Yvonne","contributorId":195628,"corporation":false,"usgs":false,"family":"Roebbert","given":"Yvonne","email":"","affiliations":[],"preferred":false,"id":707687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weyer, Stefan","contributorId":195629,"corporation":false,"usgs":false,"family":"Weyer","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":707688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bernier-Latmani, Rizlan","contributorId":195630,"corporation":false,"usgs":false,"family":"Bernier-Latmani","given":"Rizlan","email":"","affiliations":[],"preferred":false,"id":707689,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borch, Thomas","contributorId":195631,"corporation":false,"usgs":false,"family":"Borch","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":707690,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192074,"text":"70192074 - 2017 - Sediment source fingerprinting as an aid to catchment management: A review of the current state of knowledge and a methodological decision-tree for end-users","interactions":[],"lastModifiedDate":"2017-10-26T09:44:47","indexId":"70192074","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Sediment source fingerprinting as an aid to catchment management: A review of the current state of knowledge and a methodological decision-tree for end-users","docAbstract":"<p><span>The growing awareness of the environmental significance of fine-grained sediment fluxes through catchment systems continues to underscore the need for reliable information on the principal sources of this material. Source estimates are difficult to obtain using traditional monitoring techniques, but sediment source fingerprinting or tracing procedures, have emerged as a potentially valuable alternative. Despite the rapidly increasing numbers of studies reporting the use of sediment source fingerprinting, several key challenges and uncertainties continue to hamper consensus among the international scientific community on key components of the existing methodological procedures. Accordingly, this contribution reviews and presents recent developments for several key aspects of fingerprinting, namely: sediment source classification, catchment source and target sediment sampling, tracer selection, grain size issues, tracer conservatism, source apportionment modelling, and assessment of source predictions using artificial mixtures. Finally, a decision-tree representing the current state of knowledge is presented, to guide end-users in applying the fingerprinting approach.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.09.075","usgsCitation":"Collins, A., Pulley, S., Foster, I., Gellis, A.C., Porto, P., and Horowitz, A., 2017, Sediment source fingerprinting as an aid to catchment management: A review of the current state of knowledge and a methodological decision-tree for end-users: Journal of Environmental Management, v. 194, p. 86-108, https://doi.org/10.1016/j.jenvman.2016.09.075.","productDescription":"23 p.","startPage":"86","endPage":"108","ipdsId":"IP-077303","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":469789,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.09.075","text":"Publisher Index Page"},{"id":347325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"194","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f4f","contributors":{"authors":[{"text":"Collins, A.L","contributorId":197685,"corporation":false,"usgs":false,"family":"Collins","given":"A.L","affiliations":[],"preferred":false,"id":714084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pulley, S.","contributorId":197686,"corporation":false,"usgs":false,"family":"Pulley","given":"S.","email":"","affiliations":[],"preferred":false,"id":714085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, I.D.L","contributorId":197687,"corporation":false,"usgs":false,"family":"Foster","given":"I.D.L","affiliations":[],"preferred":false,"id":714086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porto, P.","contributorId":197688,"corporation":false,"usgs":false,"family":"Porto","given":"P.","email":"","affiliations":[],"preferred":false,"id":714087,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horowitz, A.J.","contributorId":197689,"corporation":false,"usgs":false,"family":"Horowitz","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":714088,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188896,"text":"70188896 - 2017 - Incipient motion of sand-oil agglomerates","interactions":[],"lastModifiedDate":"2017-06-27T13:05:47","indexId":"70188896","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Incipient motion of sand-oil agglomerates","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of Coastal Dynamics 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Schippers, M.M., Jacobsen, N.G., Dalyander, P.S., Nelson, T., and McCall, R.T., 2017, Incipient motion of sand-oil agglomerates, <i>in</i> Proceedings of Coastal Dynamics 2017, p. 1290-1301.","productDescription":"12 p.","startPage":"1290","endPage":"1301","ipdsId":"IP-086009","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":342975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342927,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea6e4b062508e3c7a69","contributors":{"authors":[{"text":"Schippers, Melanie M. A.","contributorId":193617,"corporation":false,"usgs":false,"family":"Schippers","given":"Melanie","email":"","middleInitial":"M. A.","affiliations":[],"preferred":false,"id":701069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobsen, Niels G.","contributorId":193618,"corporation":false,"usgs":false,"family":"Jacobsen","given":"Niels","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":701070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":700870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Timothy 0000-0002-5005-7617 trnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-5005-7617","contributorId":191933,"corporation":false,"usgs":true,"family":"Nelson","given":"Timothy","email":"trnelson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":701071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":701072,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192752,"text":"70192752 - 2017 - Harvest and group effects on pup survival in a cooperative breeder","interactions":[],"lastModifiedDate":"2017-11-08T12:53:18","indexId":"70192752","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Harvest and group effects on pup survival in a cooperative breeder","docAbstract":"<p><span>Recruitment in cooperative breeders can be negatively affected by changes in group size and composition. The majority of cooperative breeding studies have not evaluated human harvest; therefore, the effects of recurring annual harvest and group characteristics on survival of young are poorly understood. We evaluated how harvest and groups affect pup survival using genetic sampling and pedigrees for grey wolves in North America. We hypothesized that harvest reduces pup survival because of (i) reduced group size, (ii) increased breeder turnover and/or (iii) reduced number of female helpers. Alternatively, harvest may increase pup survival possibly due to increased&nbsp;</span><i>per capita</i><span><span>&nbsp;</span>food availability or it could be compensatory with other forms of mortality. Harvest appeared to be additive because it reduced both pup survival and group size. In addition to harvest, turnover of breeding males and the presence of older, non-breeding males also reduced pup survival. Large groups and breeder stability increased pup survival when there was harvest, however. Inferences about the effect of harvest on recruitment require knowledge of harvest rate of young as well as the indirect effects associated with changes in group size and composition, as we show. The number of young harvested is a poor measure of the effect of harvest on recruitment in cooperative breeders.</span></p>","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2017.0580","usgsCitation":"Ausband, D.E., Mitchell, M.S., Stansbury, C.R., Stenglein, J., and Waits, L.P., 2017, Harvest and group effects on pup survival in a cooperative breeder: Proceedings of the Royal Society B: Biological Sciences, v. 284, no. 1855, Article 20170580, https://doi.org/10.1098/rspb.2017.0580.","productDescription":"Article 20170580","ipdsId":"IP-076152","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469791,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2017.0580","text":"Publisher Index Page"},{"id":348448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"284","issue":"1855","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-24","publicationStatus":"PW","scienceBaseUri":"5a0425b7e4b0dc0b45b45360","contributors":{"authors":[{"text":"Ausband, David E.","contributorId":198687,"corporation":false,"usgs":false,"family":"Ausband","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stansbury, Carisa R.","contributorId":200150,"corporation":false,"usgs":false,"family":"Stansbury","given":"Carisa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stenglein, Jennifer L.","contributorId":63146,"corporation":false,"usgs":true,"family":"Stenglein","given":"Jennifer L.","affiliations":[],"preferred":false,"id":721145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":721146,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192741,"text":"70192741 - 2017 - Aquatic ecosystems in a changing climate","interactions":[],"lastModifiedDate":"2017-11-17T11:17:56","indexId":"70192741","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic ecosystems in a changing climate","docAbstract":"<p>Extreme climate events (ECEs) such as tropical storms and hurricanes, thunderstorms, heat waves, droughts, ice storms, and snow storms have increased and are projected to further increase in intensity and frequency across the world. These events are expected to have significant consequences for aquatic ecosystems with the potential for large changes in ecosystem processes, responses, and functions.</p>","language":"English","publisher":"AGU","doi":"10.1029/2017EO076549","usgsCitation":"Inamdar, S., Shanley, J.B., and McDowell, W.H., 2017, Aquatic ecosystems in a changing climate: Eos, Earth and Space Science News, v. 98, HTML Document, https://doi.org/10.1029/2017EO076549.","productDescription":"HTML Document","ipdsId":"IP-087301","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":469790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017eo076549","text":"Publisher Index Page"},{"id":349060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c2353f","contributors":{"authors":[{"text":"Inamdar, Shreeram","contributorId":177337,"corporation":false,"usgs":false,"family":"Inamdar","given":"Shreeram","affiliations":[],"preferred":false,"id":716802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDowell, William H.","contributorId":198684,"corporation":false,"usgs":false,"family":"McDowell","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":716803,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192643,"text":"70192643 - 2017 - The greenscape shapes surfing of resource waves in a large migratory herbivore","interactions":[],"lastModifiedDate":"2017-11-07T10:55:27","indexId":"70192643","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"The greenscape shapes surfing of resource waves in a large migratory herbivore","docAbstract":"<p><span>The Green Wave Hypothesis posits that herbivore migration manifests in response to waves of spring green-up (i.e. green-wave surfing). Nonetheless, empirical support for the Green Wave Hypothesis is mixed, and a framework for understanding variation in surfing is lacking. In a population of migratory mule deer (</span><i>Odocoileus hemionus</i><span>), 31% surfed plant phenology in spring as well as a theoretically perfect surfer, and 98% surfed better than random. Green-wave surfing varied among individuals and was unrelated to age or energetic state. Instead, the greenscape, which we define as the order, rate and duration of green-up along migratory routes, was the primary factor influencing surfing. Our results indicate that migratory routes are more than a link between seasonal ranges, and they provide an important, but often overlooked, foraging habitat. In addition, the spatiotemporal configuration of forage resources that propagate along migratory routes shape animal movement and presumably, energy gains during migration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.12772","usgsCitation":"Aikens, E.O., Kauffman, M., Merkle, J., Dwinnell, S., Fralick, G.L., and Monteith, K.L., 2017, The greenscape shapes surfing of resource waves in a large migratory herbivore: Ecology Letters, v. 20, no. 6, p. 741-750, https://doi.org/10.1111/ele.12772.","productDescription":"10 p.","startPage":"741","endPage":"750","ipdsId":"IP-082177","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","volume":"20","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-25","publicationStatus":"PW","scienceBaseUri":"5a07e8dee4b09af898c8cbc9","contributors":{"authors":[{"text":"Aikens, Ellen O.","contributorId":198653,"corporation":false,"usgs":false,"family":"Aikens","given":"Ellen","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":716638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merkle, Jerod","contributorId":172972,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","affiliations":[{"id":35288,"text":"Wyoming Cooperative Fish and Wildlife Research Unit, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":716639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwinnell, Samantha","contributorId":198654,"corporation":false,"usgs":false,"family":"Dwinnell","given":"Samantha","email":"","affiliations":[],"preferred":false,"id":716640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fralick, Gary L.","contributorId":198655,"corporation":false,"usgs":false,"family":"Fralick","given":"Gary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monteith, Kevin L.","contributorId":198656,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716642,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192735,"text":"70192735 - 2017 - A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability","interactions":[],"lastModifiedDate":"2017-11-08T13:06:03","indexId":"70192735","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability","docAbstract":"<p><span>Rich fens are common boreal ecosystems with distinct hydrology, biogeochemistry and ecology that influence their carbon (C) balance. We present growing season soil chamber methane emission (F</span><sub>CH</sub><sub>4</sub><span>), ecosystem respiration (ER), net ecosystem exchange (NEE) and gross primary production (GPP) fluxes from a 9-years water table manipulation experiment in an Alaskan rich fen. The study included major flood and drought years, where wetting and drying treatments further modified the severity of droughts. Results support previous findings from peatlands that drought causes reduced magnitude of growing season F</span><sub>CH</sub><sub>4</sub><span>, GPP and NEE, thus reducing or reversing their C sink function. Experimentally exacerbated droughts further reduced the capacity for the fen to act as a C sink by causing shifts in vegetation and thus reducing magnitude of maximum growing season GPP in subsequent flood years by ~15% compared to control plots. Conversely, water table position had only a weak influence on ER, but dominant contribution to ER switched from autotrophic respiration in wet years to heterotrophic in dry years. Droughts did not cause inter-annual lag effects on ER in this rich fen, as has been observed in several nutrient-poor peatlands. While ER was dependent on soil temperatures at 2&nbsp;cm depth, F</span><sub>CH</sub><sub>4</sub><span><span>&nbsp;</span>was linked to soil temperatures at 25&nbsp;cm. Inter-annual variability of deep soil temperatures was in turn dependent on wetness rather than air temperature, and higher F</span><sub>CH</sub><sub>4</sub><span><span>&nbsp;</span>in flooded years was thus equally due to increased methane production at depth and decreased methane oxidation near the surface. Short-term fluctuations in wetness caused significant lag effects on F</span><sub>CH</sub><sub>4</sub><span>, but droughts caused no inter-annual lag effects on F</span><sub>CH</sub><sub>4</sub><span>. Our results show that frequency and severity of droughts and floods can have characteristic effects on the exchange of greenhouse gases, and emphasize the need to project future hydrological regimes in rich fens.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13612","usgsCitation":"Olefeldt, D., Euskirchen, E., Harden, J.W., Kane, E.S., McGuire, A.D., Waldrop, M.P., and Turetsky, M.R., 2017, A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability: Global Change Biology, v. 23, no. 6, p. 2428-2440, https://doi.org/10.1111/gcb.13612.","productDescription":"13 p.","startPage":"2428","endPage":"2440","ipdsId":"IP-075210","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-31","publicationStatus":"PW","scienceBaseUri":"5a0425b8e4b0dc0b45b45367","contributors":{"authors":[{"text":"Olefeldt, David","contributorId":169408,"corporation":false,"usgs":false,"family":"Olefeldt","given":"David","affiliations":[{"id":32365,"text":"Department of Renewable Resources, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":721161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Euskirchen, Eugénie S.","contributorId":83378,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugénie S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":721162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":721163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Evan S.","contributorId":11903,"corporation":false,"usgs":true,"family":"Kane","given":"Evan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":721165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":721166,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192641,"text":"70192641 - 2017 - Alternative foraging strategies enable a mountain ungulate to persist after migration loss","interactions":[],"lastModifiedDate":"2017-11-07T11:19:46","indexId":"70192641","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Alternative foraging strategies enable a mountain ungulate to persist after migration loss","docAbstract":"<p><span>The persistence of many migratory ungulate populations worldwide is threatened due to anthropogenic impacts to seasonal ranges and migration routes. While many studies have linked migratory ungulate declines to migration disruption or loss, very few have explored the underlying factors that determine whether a population perishes or persists. In some cases, populations undergo severe declines and extirpation after migration loss; however, others appear able to persist as residents. We predict that to persist, populations must replace the traditional benefits of migration by altering the foraging strategies they employ as residents within one seasonal range. We propose the alternative foraging strategies (AFS) hypothesis as a framework for identifying various behavioral strategies that populations may use to cope with migration loss. We tested the hypothesis using the formerly migratory Teton bighorn sheep population in northwest Wyoming, which ceased migrating over 60&nbsp;yr ago, but has persisted as a resident population. We used global positioning system data to evaluate winter and summer habitat selection and seasonal elevational movements for 28 adult female bighorn sheep (</span><i>Ovis canadensis</i><span>) from 2008 to 2010. Resource selection functions revealed that bighorn sheep employ winter foraging strategies to survive as residents by seeking out rugged, high-elevation, windswept ridgelines. Seasonal movement analyses indicated that bighorn sheep undergo a newly documented “abbreviated migration” strategy that is closely synchronized with vegetation green-up patterns within their one range. Bighorn sheep descend 500&nbsp;m in elevation and travel up to 10&nbsp;km in spring, gaining access to newly emergent forage approximately 30&nbsp;d before it appears on their high-elevation winter and summer ranges. Our findings indicate that the Teton bighorn sheep population has persisted due to its habitat selection, AFS, and unique movement patterns, which allow migration loss to be mediated to some extent. The identification of AFS and the habitats that support them can help reveal the underlying benefits of migration and conserve populations in the face of future migration loss.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1855","usgsCitation":"Courtemanch, A.B., Kauffman, M., Kilpatrick, S., and Dewey, S., 2017, Alternative foraging strategies enable a mountain ungulate to persist after migration loss: Ecosphere, v. 8, no. 6, p. 1-16, https://doi.org/10.1002/ecs2.1855.","productDescription":"Article e01855; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-084521","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1855","text":"Publisher Index Page"},{"id":348356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Teton Mountain Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.03744506835938,\n              43.43397432280115\n            ],\n            [\n              -110.7147216796875,\n              43.43397432280115\n            ],\n            [\n              -110.7147216796875,\n              43.866218006556394\n            ],\n            [\n              -111.03744506835938,\n              43.866218006556394\n            ],\n            [\n              -111.03744506835938,\n              43.43397432280115\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"5a07e8dee4b09af898c8cbcb","contributors":{"authors":[{"text":"Courtemanch, Alyson B.","contributorId":198651,"corporation":false,"usgs":false,"family":"Courtemanch","given":"Alyson","email":"","middleInitial":"B.","affiliations":[{"id":35682,"text":"Wyoming Game and Fish Department, Jackson, WY","active":true,"usgs":false}],"preferred":false,"id":716631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":716630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kilpatrick, Steve","contributorId":198652,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"Steve","email":"","affiliations":[],"preferred":false,"id":716632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewey, Sarah","contributorId":145757,"corporation":false,"usgs":false,"family":"Dewey","given":"Sarah","affiliations":[{"id":16229,"text":"National Park Service, Grand Teton National Park, PO Drawer 170, Moose, WY 83012 USA","active":true,"usgs":false}],"preferred":false,"id":716633,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191697,"text":"70191697 - 2017 - Geodetic slip model of the 3 September 2016 Mw 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse","interactions":[],"lastModifiedDate":"2017-10-17T17:00:22","indexId":"70191697","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Geodetic slip model of the 3 September 2016 M<sub>w</sub> 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse","title":"Geodetic slip model of the 3 September 2016 Mw 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse","docAbstract":"<p><span>The 3 September 2016&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;5.8 Pawnee earthquake in northern Oklahoma is the largest earthquake ever recorded in Oklahoma. The coseismic deformation was measured with both Interferometric Synthetic Aperture Radar and Global Positioning System (GPS), with measureable signals of order 1&nbsp;cm and 1&nbsp;mm, respectively. We derive a coseismic slip model from Sentinel‐1A and Radarsat 2 interferograms and GPS static offsets, dominated by distributed left‐lateral strike slip on a primary west‐northwest–east‐southeast‐trending subvertical plane, whereas strike slip is concentrated near the hypocenter (5.6&nbsp;km depth), with maximum slip of ∼1  m located slightly east and down‐dip of the hypocenter. Based on systematic misfits of observed interferogram line‐of‐sight (LoS) displacements, with LoS based on shear‐dislocation models, a few decimeters of fault‐zone collapse are inferred in the hypocentral region where coseismic slip was the largest. This may represent the postseismic migration of large volumes of fluid away from the high‐slip areas, made possible by the creation of a temporary high‐permeability damage zone around the fault.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170002","usgsCitation":"Pollitz, F., Wicks, C., Schoenball, M., Ellsworth, W.L., and Murray, M., 2017, Geodetic slip model of the 3 September 2016 Mw 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse: Seismological Research Letters, v. 88, no. 4, p. 983-993, https://doi.org/10.1785/0220170002.","productDescription":"11 p.","startPage":"983","endPage":"993","ipdsId":"IP-082300","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Pawnee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.5,\n              35.75\n            ],\n            [\n              -95.5,\n              35.75\n            ],\n            [\n              -95.5,\n              37\n            ],\n            [\n              -97.5,\n              37\n            ],\n            [\n              -97.5,\n              35.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"59e71691e4b05fe04cd331a3","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wicks, Charles W. Jr. cwicks@usgs.gov","contributorId":3476,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles W.","suffix":"Jr.","email":"cwicks@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":713104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenball, Martin mschoenball@usgs.gov","contributorId":5760,"corporation":false,"usgs":true,"family":"Schoenball","given":"Martin","email":"mschoenball@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Mark","contributorId":197272,"corporation":false,"usgs":false,"family":"Murray","given":"Mark","affiliations":[],"preferred":false,"id":713107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188835,"text":"70188835 - 2017 - Emergence and evolution of Santa Maria Island (Azores)—The conundrum of uplifted islands revisited","interactions":[],"lastModifiedDate":"2017-06-26T12:53:22","indexId":"70188835","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Emergence and evolution of Santa Maria Island (Azores)—The conundrum of uplifted islands revisited","docAbstract":"<p><span>The growth and decay of ocean-island volcanoes are intrinsically linked to vertical movements. While the causes for subsidence are better understood, uplift mechanisms remain enigmatic. Santa Maria Island in the Azores Archipelago is an ocean-island volcano resting on top of young lithosphere, barely 480 km away from the Mid-Atlantic Ridge. Like most other Azorean islands, Santa Maria should be experiencing subsidence. Yet, several features indicate an uplift trend instead. In this paper, we reconstruct the evolutionary history of Santa Maria with respect to the timing and magnitude of its vertical movements, using detailed field work and </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar geochronology. Our investigations revealed a complex evolutionary history spanning ∼6 m.y., with subsidence up to ca. 3.5 Ma followed by uplift extending to the present day. The fact that an island located in young lithosphere experienced a pronounced uplift trend is remarkable and raises important questions concerning possible uplift mechanisms. Localized uplift in response to the tectonic regime affecting the southeastern tip of the Azores Plateau is unlikely, since the area is under transtension. Our analysis shows that the only viable mechanism able to explain the uplift is crustal thickening by basal intrusions, suggesting that intrusive processes play a significant role even on islands standing on young lithosphere, such as in the Azores.</span></p>","language":"English","publisher":"The Geological Society of America","doi":"10.1130/B31538.1","usgsCitation":"Ramalho, R., Helffrich, G., Madeira, J., Cosca, M.A., Thomas, C., Quartau, R., Hipolito, A., Rovere, A., Hearty, P., and Avila, S., 2017, Emergence and evolution of Santa Maria Island (Azores)—The conundrum of uplifted islands revisited: Geological Society of America Bulletin, v. 129, no. 3-4, p. 372-390, https://doi.org/10.1130/B31538.1.","productDescription":"19 p. ","startPage":"372","endPage":"390","ipdsId":"IP-078362","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469782,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1983/28e00a4d-8f0a-4130-a5e4-55a2d9e7193b","text":"External Repository"},{"id":342884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Santa Maria Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -25.45,\n              36.8\n            ],\n            [\n              -24.85,\n              36.8\n            ],\n            [\n              -24.85,\n              37.17\n            ],\n            [\n              -25.45,\n              37.17\n            ],\n            [\n              -25.45,\n              36.8\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"129","issue":"3-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"59521d1fe4b062508e3c3660","contributors":{"authors":[{"text":"Ramalho, Ricardo","contributorId":193475,"corporation":false,"usgs":false,"family":"Ramalho","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":700558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helffrich, George","contributorId":193476,"corporation":false,"usgs":false,"family":"Helffrich","given":"George","email":"","affiliations":[],"preferred":false,"id":700559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madeira, Jose","contributorId":193477,"corporation":false,"usgs":false,"family":"Madeira","given":"Jose","email":"","affiliations":[],"preferred":false,"id":700560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":700557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Christine","contributorId":193478,"corporation":false,"usgs":false,"family":"Thomas","given":"Christine","affiliations":[],"preferred":false,"id":700561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quartau, Rui","contributorId":193479,"corporation":false,"usgs":false,"family":"Quartau","given":"Rui","email":"","affiliations":[],"preferred":false,"id":700562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hipolito, Ana","contributorId":193480,"corporation":false,"usgs":false,"family":"Hipolito","given":"Ana","email":"","affiliations":[],"preferred":false,"id":700563,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rovere, Alessio","contributorId":193481,"corporation":false,"usgs":false,"family":"Rovere","given":"Alessio","email":"","affiliations":[],"preferred":false,"id":700564,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hearty, Paul","contributorId":193482,"corporation":false,"usgs":false,"family":"Hearty","given":"Paul","email":"","affiliations":[],"preferred":false,"id":700565,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Avila, Sergio","contributorId":193483,"corporation":false,"usgs":false,"family":"Avila","given":"Sergio","email":"","affiliations":[],"preferred":false,"id":700566,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70192192,"text":"70192192 - 2017 - Reexamining ultrafiltration and solute transport in groundwater","interactions":[],"lastModifiedDate":"2017-10-23T13:33:16","indexId":"70192192","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Reexamining ultrafiltration and solute transport in groundwater","docAbstract":"<p><span>Geologic ultrafiltration—slowing of solutes with respect to flowing groundwater—poses a conundrum: it is consistently observed experimentally in clay-rich lithologies, but has been difficult to identify in subsurface data. Resolving this could be important for clarifying clay and shale transport properties at large scales as well as interpreting solute and isotope patterns for applications ranging from nuclear waste repository siting to understanding fluid transport in tectonically active environments. Simulations of one-dimensional NaCl transport across ultrafiltering clay membrane strata constrained by emerging data on geologic membrane properties showed different ultrafiltration effects than have often been envisioned. In relatively high-permeability advection-dominated regimes, salinity increases occurred mostly within membrane units while their effluent salinity initially fell and then rose to match solute delivery. In relatively low-permeability diffusion-dominated regimes, salinity peaked at the membrane upstream boundary and effluent salinity remained low. In both scenarios, however, only modest salinity changes (up to ∼3 g L</span><sup>−1</sup><span>) occurred because of self-limiting tendencies; membrane efficiency declines as salinity rises, and although sediment compaction increases efficiency, it is also decreases permeability and allows diffusive transport to dominate. It appears difficult for ultrafiltration to generate brines as speculated, but widespread and less extreme ultrafiltration effects in the subsurface could be unrecognized. Conditions needed for ultrafiltration are present in settings that include topographically-driven flow systems, confined aquifer systems subjected to injection or withdrawal, compacting basins, and accretionary complexes.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017WR020492","usgsCitation":"Neuzil, C.E., and Person, M., 2017, Reexamining ultrafiltration and solute transport in groundwater: Water Resources Research, v. 53, no. 6, p. 4922-4941, https://doi.org/10.1002/2017WR020492.","productDescription":"20 p.","startPage":"4922","endPage":"4941","ipdsId":"IP-086146","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":347123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-16","publicationStatus":"PW","scienceBaseUri":"59eeffa7e4b0220bbd988f9a","contributors":{"authors":[{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Person, Mark","contributorId":197964,"corporation":false,"usgs":false,"family":"Person","given":"Mark","email":"","affiliations":[],"preferred":false,"id":714672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192080,"text":"70192080 - 2017 - Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection","interactions":[],"lastModifiedDate":"2017-10-19T15:33:13","indexId":"70192080","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection","docAbstract":"<p><span>Understanding species–habitat relationships for endangered species is critical for their conservation. However, many studies have limited value for conservation because they fail to account for habitat associations at multiple spatial scales, anthropogenic variables, and imperfect detection. We addressed these three limitations by developing models for an endangered wetland bird, Yuma Ridgway's rail (</span><i>Rallus obsoletus yumanensis</i><span>), that examined how the spatial scale of environmental variables, inclusion of anthropogenic disturbance variables, and accounting for imperfect detection in validation data influenced model performance. These models identified associations between environmental variables and occupancy. We used bird survey and spatial environmental data at 2473 locations throughout the species' U.S. range to create and validate occupancy models and produce predictive maps of occupancy. We compared habitat-based models at three spatial scales (100, 224, and 500&nbsp;m radii buffers) with and without anthropogenic disturbance variables using validation data adjusted for imperfect detection and an unadjusted validation dataset that ignored imperfect detection. The inclusion of anthropogenic disturbance variables improved the performance of habitat models at all three spatial scales, and the 224-m-scale model performed best. All models exhibited greater predictive ability when imperfect detection was incorporated into validation data. Yuma Ridgway's rail occupancy was negatively associated with ephemeral and slow-moving riverine features and high-intensity anthropogenic development, and positively associated with emergent vegetation, agriculture, and low-intensity development. Our modeling approach accounts for common limitations in modeling species–habitat relationships and creating predictive maps of occupancy probability and, therefore, provides a useful framework for other species.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1837","usgsCitation":"Glisson, W.J., Conway, C.J., Nadeau, C.P., and Borgmann, K.L., 2017, Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection: Ecosphere, v. 8, no. 6, p. 1-20, https://doi.org/10.1002/ecs2.1837.","productDescription":"e01837; 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-082202","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469792,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1837","text":"Publisher Index Page"},{"id":347000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.52099609375,\n              32.57459172113418\n            ],\n            [\n              -112.43408203124999,\n              32.57459172113418\n            ],\n            [\n              -112.43408203124999,\n              36.86204269508728\n            ],\n            [\n              -116.52099609375,\n              36.86204269508728\n            ],\n            [\n              -116.52099609375,\n              32.57459172113418\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-02","publicationStatus":"PW","scienceBaseUri":"59e9b994e4b05fe04cd65c8b","contributors":{"authors":[{"text":"Glisson, Wesley J.","contributorId":171646,"corporation":false,"usgs":false,"family":"Glisson","given":"Wesley","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nadeau, Christopher P.","contributorId":105956,"corporation":false,"usgs":true,"family":"Nadeau","given":"Christopher","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borgmann, Kathi L.","contributorId":171647,"corporation":false,"usgs":false,"family":"Borgmann","given":"Kathi","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714097,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188100,"text":"70188100 - 2017 - Natural infections with pigeon paramyxovirus serotype 1: Pathologic changes in Eurasian collared-doves (Streptopelia decaocto) and rock pigeons (Columba livia) in the United States","interactions":[],"lastModifiedDate":"2023-06-20T15:59:37.923166","indexId":"70188100","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3687,"text":"Veterinary Pathology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Natural infections with pigeon paramyxovirus serotype 1: Pathologic changes in Eurasian collared-doves (<i>Streptopelia decaocto</i>) and rock pigeons (<i>Columba livia</i>) in the United States","title":"Natural infections with pigeon paramyxovirus serotype 1: Pathologic changes in Eurasian collared-doves (Streptopelia decaocto) and rock pigeons (Columba livia) in the United States","docAbstract":"<p><span>Pigeon paramyxovirus serotype 1 (PPMV-1) is a globally distributed, virulent member of the avian paramyxovirus serotype 1 serogroup that causes mortality in columbiformes and poultry. Following introduction into the United States in the mid-1980s, PPMV-1 rapidly spread causing numerous mortality events in Eurasian collared-doves (</span><i>Streptopelia decaocto</i><span>) (ECDOs) and rock pigeons (</span><i>Columba livia</i><span>) (ROPIs). The investigators reviewed pathological findings of 70 naturally infected, free-ranging columbiforms from 25 different mortality events in the United States. Immunohistochemistry targeting PPMV-1 nucleoprotein was used to determine the tissue distribution of the virus in a subset of 17 birds from 10 of the studied outbreaks. ECDOs (61 birds) and ROPIs (9 birds) were the only species in which PPMV-1-associated disease was confirmed by viral isolation and presence of histologic lesions. Acute to subacute tubulointerstitial nephritis and necrotizing pancreatitis were the most frequent histologic lesions, with immunolabeling of viral antigen in renal tubular epithelial cells and pancreatic acinar epithelium. Lymphoid depletion of bursa of Fabricius and spleen was common, but the presence of viral antigen in these organs was inconsistent among infected birds. Hepatocellular necrosis was occasionally present with immunolabeling of hypertrophic Kupffer cells, and immunopositive eosinophilic intracytoplasmic inclusion bodies were present in hepatocytes of 1 ECDO. Immunopositive lymphocytic choroiditis was present in 1 ECDO, while lymphocytic meningoencephalitis was frequent in ROPIs in absence of immunolabeling. This study demonstrates widespread presence of PPMV-1 antigen in association with histologic lesions, confirming the lethal potential of this virus in these particular bird species.</span></p>","language":"English","publisher":"SAGE Journals","doi":"10.1177/0300985817695782","usgsCitation":"Isidoro Ayza, M., Afonso, C., Stanton, J., Knowles, S., Ip, S., White, C.L., Fenton, H., Ruder, M., Dolinski, A.C., and Lankton, J.S., 2017, Natural infections with pigeon paramyxovirus serotype 1: Pathologic changes in Eurasian collared-doves (Streptopelia decaocto) and rock pigeons (Columba livia) in the United States: Veterinary Pathology, v. 54, no. 4, p. 695-703, https://doi.org/10.1177/0300985817695782.","productDescription":"9 p., Data Release","startPage":"695","endPage":"703","ipdsId":"IP-077200","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469815,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/0300985817695782","text":"Publisher Index Page"},{"id":341922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344168,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BR8R2B","text":"Natural infections with Pigeon Paramyxovirus-1: Pathologic changes in Eurasian collared-doves (Streptopelia decaocto) and rock pigeons (Columba livia) in the USA: Data","description":"Data Release"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-06","publicationStatus":"PW","scienceBaseUri":"592fd635e4b0e9bd0ea896b0","contributors":{"authors":[{"text":"Isidoro Ayza, Marcos 0000-0002-9380-7254 misidoroayza@usgs.gov","orcid":"https://orcid.org/0000-0002-9380-7254","contributorId":192509,"corporation":false,"usgs":true,"family":"Isidoro Ayza","given":"Marcos","email":"misidoroayza@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Afonso, C.L.","contributorId":192510,"corporation":false,"usgs":false,"family":"Afonso","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":696691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanton, J.B.","contributorId":192511,"corporation":false,"usgs":false,"family":"Stanton","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":696692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fenton, Heather","contributorId":192512,"corporation":false,"usgs":false,"family":"Fenton","given":"Heather","email":"","affiliations":[],"preferred":false,"id":696693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruder, M.G.","contributorId":192513,"corporation":false,"usgs":false,"family":"Ruder","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":696694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dolinski, A. C.","contributorId":192516,"corporation":false,"usgs":false,"family":"Dolinski","given":"A.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":696702,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696689,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70188087,"text":"70188087 - 2017 - Responses of juvenile black-tailed prairie dogs (Cynomys ludovicianus) to a commercially produced oral plague vaccine delivered at two doses","interactions":[],"lastModifiedDate":"2017-10-08T11:44:30","indexId":"70188087","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Responses of juvenile black-tailed prairie dogs (<i>Cynomys ludovicianus</i>) to a commercially produced oral plague vaccine delivered at two doses","title":"Responses of juvenile black-tailed prairie dogs (Cynomys ludovicianus) to a commercially produced oral plague vaccine delivered at two doses","docAbstract":"<p><span>We confirmed safety and immunogenicity of mass-produced vaccine baits carrying an experimental, commercial-source plague vaccine (RCN-F1/V307) expressing </span><i><i>Yersinia pestis</i></i><span> V and F1 antigens. Forty-five juvenile black-tailed prairie dogs (</span><i><i>Cynomys ludovicianus</i></i><span>) were randomly divided into three treatment groups (</span><i>n</i><span>=15 animals/group). Animals in the first group received one standard-dose vaccine bait (5×10</span><sup>7</sup><span> plaque-forming units [pfu]; STD). The second group received a lower-dose bait (1×10</span><sup>7</sup><span> pfu; LOW). In the third group, five animals received two standard-dose baits and 10 were left untreated but in contact. Two vaccine-treated and one untreated prairie dogs died during the study, but laboratory analyses ruled out vaccine involvement. Overall, 17 of 33 (52%; 95% confidence interval for binomial proportion [bCI] 34−69%) prairie dogs receiving vaccine-laden bait showed a positive anti-V antibody response on at least one sampling occasion after bait consumption, and eight (24%; bCI 11–42%) showed sustained antibody responses. The STD and LOW groups did not differ (</span><i>P</i><span>≥0.78) in their proportions of overall or sustained antibody responses after vaccine bait consumption. Serum from one of the nine (11%; bCI 0.3–48%) surviving untreated, in-contact prairie dogs also had detectable antibody on one sampling occasion. We did not observe any adverse effects related to oral vaccination.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-02-033","usgsCitation":"Cardenas-Canales, E.M., Wolfe, L.L., W., T.D., Rocke, T.E., Abbott, R.C., and Miller, M.W., 2017, Responses of juvenile black-tailed prairie dogs (Cynomys ludovicianus) to a commercially produced oral plague vaccine delivered at two doses: Journal of Wildlife Diseases, v. 53, no. 4, p. 916-920, https://doi.org/10.7589/2017-02-033.","productDescription":"5 p.","startPage":"916","endPage":"920","ipdsId":"IP-084994","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469816,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/2017-02-033","text":"Publisher Index Page"},{"id":341926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd637e4b0e9bd0ea896c7","contributors":{"authors":[{"text":"Cardenas-Canales, Elsa M.","contributorId":192489,"corporation":false,"usgs":false,"family":"Cardenas-Canales","given":"Elsa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":696625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolfe, Lisa L.","contributorId":192490,"corporation":false,"usgs":false,"family":"Wolfe","given":"Lisa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":696627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"W., Tripp. Daniel","contributorId":192491,"corporation":false,"usgs":false,"family":"W.","given":"Tripp.","email":"","middleInitial":"Daniel","affiliations":[],"preferred":false,"id":696628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abbott, Rachel C. 0000-0003-4820-9295 rabbott@usgs.gov","orcid":"https://orcid.org/0000-0003-4820-9295","contributorId":1183,"corporation":false,"usgs":true,"family":"Abbott","given":"Rachel","email":"rabbott@usgs.gov","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Michael W.","contributorId":65218,"corporation":false,"usgs":true,"family":"Miller","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":696629,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188108,"text":"70188108 - 2017 - Seasonal and diel environmental conditions predict western pond turtle (Emys marmorata) behavior at a perennial and an ephemeral stream in Sequoia National Park, California","interactions":[],"lastModifiedDate":"2017-06-14T11:58:12","indexId":"70188108","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1210,"text":"Chelonian Conservation and Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seasonal and diel environmental conditions predict western pond turtle (<i>Emys marmorata</i>) behavior at a perennial and an ephemeral stream in Sequoia National Park, California","title":"Seasonal and diel environmental conditions predict western pond turtle (Emys marmorata) behavior at a perennial and an ephemeral stream in Sequoia National Park, California","docAbstract":"<p><span>Managers making decisions may benefit from a well-informed understanding of a species' population size and trends. Given the cryptic nature and habitat characteristics of the western pond turtle (</span><i><i>Emys marmorata</i></i><span>), however, imperfect detection may be high and population estimates are frequently varied and unreliable. As a case study to investigate this issue, we used temperature dataloggers to examine turtle behavior at 2 long-term monitoring sites with different hydrological characteristics in Sequoia National Park, California, to determine if common stream-survey techniques are consistent with site-specific turtle behavior. Sycamore Creek is an intermittent stream that dries up every summer while the North Fork Kaweah River flows year-round. We found that while turtles spent most of the recorded time in the water (55% in Sycamore Creek and 82% in the North Fork Kaweah River), the timing of traditional surveys only coincided with the turtles' aquatic activity in the North Fork Kaweah River. At Sycamore Creek, turtles were most likely to be in the water at night. In contrast, failure to detect turtles in North Fork Kaweah River is likely owing to the larger size and complexity of the underwater habitat. In both streams, turtles were also more likely to be in the water in the weeks leading up to important changes in hydroperiods. Our findings illustrate the effects that differences in water permanence can have on turtle behavior within the same watershed and how phenotypic plasticity may then affect detection during surveys. Our study highlights the importance of tailoring survey practices to the site-specific behavioral traits of the target species.</span></p>","language":"English","publisher":"Chelonian Research Foundation","doi":"10.2744/CCB-1240.1","usgsCitation":"Ruso, G., Meyer, E., and Das, A., 2017, Seasonal and diel environmental conditions predict western pond turtle (Emys marmorata) behavior at a perennial and an ephemeral stream in Sequoia National Park, California: Chelonian Conservation and Biology, v. 16, no. 1, p. 20-28, https://doi.org/10.2744/CCB-1240.1.","productDescription":"9 p.","startPage":"20","endPage":"28","ipdsId":"IP-082015","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":495027,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2744/ccb-1240.1","text":"Publisher Index Page"},{"id":341947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.69010925292969,\n              36.41078375301565\n            ],\n            [\n              -118.4271240234375,\n              36.41078375301565\n            ],\n            [\n              -118.4271240234375,\n              36.563151553545985\n            ],\n            [\n              -118.69010925292969,\n              36.563151553545985\n            ],\n            [\n              -118.69010925292969,\n              36.41078375301565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd633e4b0e9bd0ea896a1","contributors":{"authors":[{"text":"Ruso, Gabrielle gruso@usgs.gov","contributorId":192549,"corporation":false,"usgs":true,"family":"Ruso","given":"Gabrielle","email":"gruso@usgs.gov","affiliations":[],"preferred":true,"id":696773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Erik","contributorId":192550,"corporation":false,"usgs":false,"family":"Meyer","given":"Erik","email":"","affiliations":[],"preferred":false,"id":696774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":696772,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188094,"text":"70188094 - 2017 - Conservation, biodiversity and infectious disease: scientific evidence and policy implications","interactions":[],"lastModifiedDate":"2017-05-31T12:15:49","indexId":"70188094","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Conservation, biodiversity and infectious disease: scientific evidence and policy implications","docAbstract":"<p id=\"p-3\">Habitat destruction and infectious disease are dual threats to nature and people. The potential to simultaneously advance conservation and human health has attracted considerable scientific and popular interest; in particular, many authors have justified conservation action by pointing out potential public health benefits . One major focus of this debate—that biodiversity conservation often decreases infectious disease transmission via the dilution effect—remains contentious. Studies that test for a dilution effect often find a negative association between a diversity metric and a disease risk metric, but how such associations should inform conservation policy remains unclear for several reasons. For one, diversity and infection risk have many definitions, making it possible to identify measures that conform to expectations. Furthermore, the premise that habitat destruction consistently reduces biodiversity is in question, and disturbance or conservation can affect disease in many ways other than through biodiversity change. To date, few studies have examined the broader set of mechanisms by which anthropogenic disturbance or conservation might increase or decrease infectious disease risk to human populations. Due to interconnections between biodiversity change, economics and human behaviour, moving from ecological theory to policy action requires understanding how social and economic factors affect conservation.</p><p id=\"p-4\">This Theme Issue arose from a meeting aimed at synthesizing current theory and data on ‘biodiversity, conservation and infectious disease’ (4–6 May 2015). Ecologists, evolutionary biologists, economists, epidemiologists, veterinary scientists, public health professionals, and conservation biologists from around the world discussed the latest research on the ecological and socio-economic links between conservation, biodiversity and infectious disease, and the open questions and controversies in these areas. By combining ecological understanding with insights from the social and economic sciences, the papers in this Theme Issue address the complex relationships, patterns and ecological mechanisms that influence conservation, infectious disease, and the policy options available to protect nature and human health.</p>","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rstb.2016.0124","usgsCitation":"Young, H.S., Wood, C.L., Kilpatrick, A.M., Lafferty, K.D., Nunn, C.L., and Vincent, J.R., 2017, Conservation, biodiversity and infectious disease: scientific evidence and policy implications: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 372, p. 1-4, https://doi.org/10.1098/rstb.2016.0124.","productDescription":"Article 20160124; 4 p.","startPage":"1","endPage":"4","ipdsId":"IP-083990","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469819,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rstb.2016.0124","text":"Publisher Index Page"},{"id":341920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"372","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"592fd637e4b0e9bd0ea896be","contributors":{"authors":[{"text":"Young, Hillary S.","contributorId":53711,"corporation":false,"usgs":false,"family":"Young","given":"Hillary","email":"","middleInitial":"S.","affiliations":[{"id":13007,"text":"Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":696657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Chelsea L.","contributorId":192504,"corporation":false,"usgs":false,"family":"Wood","given":"Chelsea","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":696658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kilpatrick, A. Marm","contributorId":139721,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"A.","email":"","middleInitial":"Marm","affiliations":[{"id":12892,"text":"Dept of Ecology & Evolutionary Biology, Univ of California","active":true,"usgs":false}],"preferred":false,"id":696659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":696656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nunn, Charles L.","contributorId":192505,"corporation":false,"usgs":false,"family":"Nunn","given":"Charles","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":696660,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vincent, Jeffrey R.","contributorId":192506,"corporation":false,"usgs":false,"family":"Vincent","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":696661,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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