{"pageNumber":"49","pageRowStart":"1200","pageSize":"25","recordCount":4111,"records":[{"id":70187203,"text":"70187203 - 2017 - A paired-laser photogrammetric method for in situ length measurement of benthic fishes","interactions":[],"lastModifiedDate":"2017-04-26T13:07:44","indexId":"70187203","displayToPublicDate":"2017-04-26T00:00:00","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":"A paired-laser photogrammetric method for in situ length measurement of benthic fishes","docAbstract":"<p><span>Photogrammetry, a technique to obtain measurements from photographs, may be a valid method for measuring lengths of rare, threatened, or endangered species. Photogrammetric methods of measurement are nonintrusive and reduce the possibility of physical damage or physiological stress associated with the capture and handling of individuals. We evaluated precision and accuracy of photogrammetric length measurements relative to board measurements of Greenside Darters </span><i>Etheostoma blennioides</i><span> and Variegate Darters </span><i>E. variatum</i><span> in an aquarium and applied photogrammetry in a field study of the Diamond Darter </span><i>Crystallaria cincotta</i><span>, a federally listed endangered species. Digital photographs were taken of each individual using a waterproof camera equipped with two parallel lasers. Photogrammetric length measurements were digitized with ImageJ software. Agreement between board and photogrammetric measurements were high for Greenside and Variegate darters. The magnitude of differences was small between direct and photogrammetric measurements, ranging from 0.6% to 3.1%, depending on the species measured and the type of measurement taken. These results support photogrammetry as a useful method for obtaining length measurements of benthic stream fishes. Photogrammetric methods allowed for length measurements and an assessment of length frequency of 199 Diamond Darters, informative data for management that could not be collected with conventional measuring-board methods.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1235632","usgsCitation":"Rizzo, A.A., Welsh, S.A., and Thompson, P., 2017, A paired-laser photogrammetric method for in situ length measurement of benthic fishes: North American Journal of Fisheries Management, v. 37, no. 1, p. 16-22, https://doi.org/10.1080/02755947.2016.1235632.","productDescription":"7 p.","startPage":"16","endPage":"22","ipdsId":"IP-079166","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"5901b1b7e4b0c2e071a99b8a","contributors":{"authors":[{"text":"Rizzo, Austin A.","contributorId":191439,"corporation":false,"usgs":false,"family":"Rizzo","given":"Austin","email":"","middleInitial":"A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":693048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":1483,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"swelsh@usgs.gov","middleInitial":"A.","affiliations":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"preferred":false,"id":693013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Patricia A. pathompson@usgs.gov","contributorId":5249,"corporation":false,"usgs":true,"family":"Thompson","given":"Patricia A.","email":"pathompson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":693049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187152,"text":"70187152 - 2017 - Improved supervised classification of accelerometry data to distinguish behaviors of soaring birds","interactions":[],"lastModifiedDate":"2017-11-29T10:33:59","indexId":"70187152","displayToPublicDate":"2017-04-25T00:00:00","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":"Improved supervised classification of accelerometry data to distinguish behaviors of soaring birds","docAbstract":"<p><span>Soaring birds can balance the energetic costs of movement by switching between flapping, soaring and gliding flight. Accelerometers can allow quantification of flight behavior and thus a context to interpret these energetic costs. However, models to interpret accelerometry data are still being developed, rarely trained with supervised datasets, and difficult to apply. We collected accelerometry data at 140Hz from a trained golden eagle (</span><i>Aquila chrysaetos</i><span>) whose flight we recorded with video that we used to characterize behavior. We applied two forms of supervised classifications, random forest (RF) models and K-nearest neighbor (KNN) models. The KNN model was substantially easier to implement than the RF approach but both were highly accurate in classifying basic behaviors such as flapping (85.5% and 83.6% accurate, respectively), soaring (92.8% and 87.6%) and sitting (84.1% and 88.9%) with overall accuracies of 86.6% and 92.3% respectively. More detailed classification schemes, with specific behaviors such as banking and straight flights were well classified only by the KNN model (91.24% accurate; RF = 61.64% accurate). The RF model maintained its accuracy of classifying basic behavior classification accuracy of basic behaviors at sampling frequencies as low as 10Hz, the KNN at sampling frequencies as low as 20Hz. Classification of accelerometer data collected from free ranging birds demonstrated a strong dependence of predicted behavior on the type of classification model used. Our analyses demonstrate the consequence of different approaches to classification of accelerometry data, the potential to optimize classification algorithms with validated flight behaviors to improve classification accuracy, ideal sampling frequencies for different classification algorithms, and a number of ways to improve commonly used analytical techniques and best practices for classification of accelerometry data.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0174785","usgsCitation":"Sur, M., Suffredini, T., Wessells, S.M., Bloom, P.H., Lanzone, M., Blackshire, S., Sridhar, S., and Katzner, T., 2017, Improved supervised classification of accelerometry data to distinguish behaviors of soaring birds: PLoS ONE, v. 12, no. 4, e0174785; 19 p., https://doi.org/10.1371/journal.pone.0174785.","productDescription":"e0174785; 19 p.","ipdsId":"IP-081662","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469906,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0174785","text":"Publisher Index Page"},{"id":340410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-12","publicationStatus":"PW","scienceBaseUri":"59006062e4b0e85db3a5ddc9","contributors":{"authors":[{"text":"Sur, Maitreyi","contributorId":191354,"corporation":false,"usgs":false,"family":"Sur","given":"Maitreyi","email":"","affiliations":[],"preferred":false,"id":692796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suffredini, Tony","contributorId":191355,"corporation":false,"usgs":false,"family":"Suffredini","given":"Tony","email":"","affiliations":[],"preferred":false,"id":692797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wessells, Stephen M. 0000-0002-1895-4553 smwess@usgs.gov","orcid":"https://orcid.org/0000-0002-1895-4553","contributorId":2235,"corporation":false,"usgs":true,"family":"Wessells","given":"Stephen","email":"smwess@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":692798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bloom, Peter H.","contributorId":191356,"corporation":false,"usgs":false,"family":"Bloom","given":"Peter","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":692799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lanzone, Michael J.","contributorId":140128,"corporation":false,"usgs":false,"family":"Lanzone","given":"Michael J.","affiliations":[{"id":13392,"text":"Cellular Tracking Technologies","active":true,"usgs":false}],"preferred":false,"id":692800,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blackshire, Sheldon","contributorId":191357,"corporation":false,"usgs":false,"family":"Blackshire","given":"Sheldon","email":"","affiliations":[],"preferred":false,"id":692801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sridhar, Srisarguru","contributorId":191358,"corporation":false,"usgs":false,"family":"Sridhar","given":"Srisarguru","email":"","affiliations":[],"preferred":false,"id":692802,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":692795,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187112,"text":"70187112 - 2017 - Host-dependent differences in resource use associated with Anilocra spp. parasitism in two coral reef fishes, as revealed by stable carbon and nitrogen isotope analyses","interactions":[],"lastModifiedDate":"2017-04-24T11:31:57","indexId":"70187112","displayToPublicDate":"2017-04-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5377,"text":"Marine Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Host-dependent differences in resource use associated with Anilocra spp. parasitism in two coral reef fishes, as revealed by stable carbon and nitrogen isotope analyses","docAbstract":"<p><span>The role of parasites in trophic ecology is poorly understood in marine ecosystems. Stable isotope analyses (SIA) have been widely used in studies of trophic ecology, but have rarely been applied to study the role of parasites. Considering that some parasites are associated with altered host foraging patterns, SIA can help elucidate whether parasitism influences host trophic interactions. French grunt (</span><i>Haemulon flavolineatum</i><span>), an abundant Caribbean coral reef fish, contributes greatly to trophic connectivity. They typically depart the reef at dusk, feed overnight in seagrass beds, and return to the reef at dawn. The large parasitic isopod </span><i>Anilocra haemuli</i><span> commonly infects French grunt, and infected fish are less likely to complete their diel migration, and are in poorer condition than uninfected conspecifics. Brown chromis (</span><i>Chromis multilineata</i><span>) are diurnally feeding planktivores and infection by </span><i>Anilocra chromis</i><span> does not influence host condition. To determine if </span><i>Anilocra</i><span> infection influences host diet and foraging locality, we conducted stable carbon and nitrogen isotope analyses on scale, muscle, heart and gill tissues of infected and uninfected French grunt and brown chromis. We determined that all French grunt had δ</span><sup>13</sup><span>C values representative of seagrass habitats, but infected French grunt were significantly enriched in </span><sup>13</sup><span>C and </span><sup>15</sup><span>N compared to uninfected conspecifics. This suggests that compared to uninfected conspecifics, infected French grunt forage in seagrass, but on isotopically enriched prey, and/or are in poorer condition, which can elevate δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N values. For brown chromis, infection did not significantly influence any δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N values; hence they all foraged in the same environment and on similar prey. This is the first study to use SIA to examine differences in resource use by Caribbean coral reef fishes associated with parasitism and to evaluate how closely related parasites might have host-dependent effects on host trophic ecology.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/maec.12413","usgsCitation":"Welicky, R., Demopoulos, A., and Sikkel, P.C., 2017, Host-dependent differences in resource use associated with Anilocra spp. parasitism in two coral reef fishes, as revealed by stable carbon and nitrogen isotope analyses: Marine Ecology, v. 38, no. 2, Article e12413, https://doi.org/10.1111/maec.12413.","productDescription":"Article e12413","ipdsId":"IP-073021","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":340178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-17","publicationStatus":"PW","scienceBaseUri":"58ff0e9ae4b006455f2d61ae","contributors":{"authors":[{"text":"Welicky, Rachel","contributorId":191260,"corporation":false,"usgs":false,"family":"Welicky","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":692516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":371,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda W.J.","email":"ademopoulos@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":692514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sikkel, Paul C.","contributorId":140403,"corporation":false,"usgs":false,"family":"Sikkel","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":13476,"text":"Arkansas State University, State University, AR","active":true,"usgs":false}],"preferred":false,"id":692515,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186880,"text":"70186880 - 2017 - Quantifying the demographic cost of human-related mortality to a raptor population","interactions":[],"lastModifiedDate":"2017-11-22T16:58:07","indexId":"70186880","displayToPublicDate":"2017-04-12T00:00:00","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":"Quantifying the demographic cost of human-related mortality to a raptor population","docAbstract":"<p>Raptors are exposed to a wide variety of human-related mortality agents, and yet population-level effects are rarely quantified. Doing so requires modeling vital rates in the context of species life-history, behavior, and population dynamics theory. In this paper, we explore the details of such an analysis by focusing on the demography of a resident, tree-nesting population of golden eagles (<i>Aquila chrysaetos</i>) in the vicinity of an extensive (142 km<sup>2</sup>) windfarm in California. During 1994–2000, we tracked the fates of &gt;250 radio-marked individuals of four life-stages and conducted five annual surveys of territory occupancy and reproduction. Collisions with wind turbines accounted for 41% of 88 uncensored fatalities, most of which were subadults and nonbreeding adults (floaters). A consistent overall male preponderance in the population meant that females were the limiting sex in this territorial, monogamous species. Estimates of potential population growth rate and associated variance indicated a stable breeding population, but one for which any further decrease in vital rates would require immigrant floaters to fill territory vacancies. Occupancy surveys 5 and 13 years later (2005 and 2013) showed that the nesting population remained intact, and no upward trend was apparent in the proportion of subadult eagles as pair members, a condition that would have suggested a deficit of adult replacements. However, the number of golden eagle pairs required to support windfarm mortality was large. We estimated that the entire annual reproductive output of 216–255 breeding pairs would have been necessary to support published estimates of 55–65 turbine blade-strike fatalities per year. Although the vital rates forming the basis for these calculations may have changed since the data were collected, our approach should be useful for gaining a clearer understanding of how anthropogenic mortality affects the health of raptor populations, particularly those species with delayed maturity and naturally low reproductive rates.</p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0172232","usgsCitation":"Hunt, W.G., Wiens, D., Law, P.R., Fuller, M.R., Hunt, T.L., Driscoll, D.E., and Jackman, R.E., 2017, Quantifying the demographic cost of human-related mortality to a raptor population: PLoS ONE, v. 12, no. 2, e0172232; 22 p., https://doi.org/10.1371/journal.pone.0172232.","productDescription":"e0172232; 22 p.","ipdsId":"IP-077853","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0172232","text":"Publisher Index Page"},{"id":339649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-24","publicationStatus":"PW","scienceBaseUri":"58ef3da4e4b0eed1ab8e3bc2","contributors":{"authors":[{"text":"Hunt, W. Grainger","contributorId":139544,"corporation":false,"usgs":false,"family":"Hunt","given":"W.","email":"","middleInitial":"Grainger","affiliations":[{"id":12795,"text":"The Peregrine Fund, Inc.","active":true,"usgs":false}],"preferred":false,"id":690799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiens, David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":167538,"corporation":false,"usgs":true,"family":"Wiens","given":"David","email":"jwiens@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":690800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Law, Peter R.","contributorId":190824,"corporation":false,"usgs":false,"family":"Law","given":"Peter","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":690801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Mark R. 0000-0001-7459-1729 mark_fuller@usgs.gov","orcid":"https://orcid.org/0000-0001-7459-1729","contributorId":2296,"corporation":false,"usgs":true,"family":"Fuller","given":"Mark","email":"mark_fuller@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":690798,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Teresa L.","contributorId":190825,"corporation":false,"usgs":false,"family":"Hunt","given":"Teresa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":690802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Driscoll, Daniel E.","contributorId":190826,"corporation":false,"usgs":false,"family":"Driscoll","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":690803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jackman, Ronald E.","contributorId":190827,"corporation":false,"usgs":false,"family":"Jackman","given":"Ronald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":690804,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70186660,"text":"70186660 - 2017 - Terrestrial subaqueous seafloor dunes: Possible analogs for Venus","interactions":[],"lastModifiedDate":"2017-06-20T13:19:14","indexId":"70186660","displayToPublicDate":"2017-04-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial subaqueous seafloor dunes: Possible analogs for Venus","docAbstract":"<p><span>Dunes on Venus, first discovered with Magellan Synthetic Aperture Radar (SAR) in the early 1990s, have fueled discussions about the viability of Venusian dunes and aeolian grain transport. Confined to two locations on Venus, the existence of the interpreted dunes provides evidence that there could be transportable material being mobilized into aeolian bedforms at the surface. However, because of the high-pressure high-temperature surface conditions, laboratory analog studies are difficult to conduct and results are difficult to extrapolate to full-sized, aeolian bedforms. Field sites of desert dunes, which are well-studied on Earth and Mars, are not analogous to what is observed on Venus because of the differences in the fluid environments. One potentially underexplored possibility in planetary science for Venus-analog dune fields could be subaqueous, seafloor dune fields on Earth. Known to the marine geology communities since the early 1960s, seafloor dunes are rarely cited in planetary aeolian bedform literature, but could provide a necessary thick-atmosphere extension to the classically studied aeolian dune environment literature for thinner atmospheres. Through discussion of the similarity of the two environments, and examples of dunes and ripples cited in marine literature, we provide evidence that subaqueous seafloor dunes could serve as analogs for dunes on Venus. Furthermore, the evidence presented here demonstrates the usefulness of the marine literature for thick-atmosphere planetary environments and potentially for upcoming habitable worlds and oceanic environment research program opportunities. Such useful cross-disciplinary discussion of dune environments is applicable to many planetary environments (Earth, Mars, Venus, Titan, etc.) and potential future missions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2017.03.002","usgsCitation":"Neakrase, L., Klose, M., and Titus, T.N., 2017, Terrestrial subaqueous seafloor dunes: Possible analogs for Venus: Aeolian Research, v. 26, p. 47-56, https://doi.org/10.1016/j.aeolia.2017.03.002.","productDescription":"10 p.","startPage":"47","endPage":"56","ipdsId":"IP-074225","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":339378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Venus","volume":"26","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e753e6e4b09da6799c0c45","contributors":{"authors":[{"text":"Neakrase, Lynn","contributorId":190649,"corporation":false,"usgs":false,"family":"Neakrase","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":690191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klose, Martina","contributorId":190662,"corporation":false,"usgs":false,"family":"Klose","given":"Martina","email":"","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":690190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":690244,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189816,"text":"70189816 - 2017 - Bacterial, fungal, and plant communities exhibit no biomass or compositional response to two years of simulated nitrogen deposition in a semiarid grassland","interactions":[],"lastModifiedDate":"2017-09-05T14:03:39","indexId":"70189816","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1548,"text":"Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Bacterial, fungal, and plant communities exhibit no biomass or compositional response to two years of simulated nitrogen deposition in a semiarid grassland","docAbstract":"<p><span>Nitrogen (N) deposition affects myriad aspects of terrestrial ecosystem structure and function, and microbial communities may be particularly sensitive to anthropogenic N inputs. However, our understanding of N deposition effects on microbial communities is far from complete, especially for drylands where data are comparatively rare. To address the need for an improved understanding of dryland biological responses to N deposition, we conducted a two-year fertilization experiment in a semiarid grassland on the Colorado Plateau in the southwestern United States. We evaluated effects of varied levels of N inputs on archaeal, bacterial, fungal and chlorophyte community composition within three microhabitats: biological soil crusts (biocrusts), soil below biocrusts, and the plant rhizosphere. Surprisingly, N addition did not affect the community composition or diversity of any of these microbial groups; however, microbial community composition varied significantly among sampling microhabitats. Further, while plant richness, diversity, and cover showed no response to N addition, there were strong linkages between plant properties and microbial community structure. Overall, these findings highlight the potential for some dryland communities to have limited biotic ability to retain augmented N inputs, possibly leading to large N losses to the atmosphere and to aquatic systems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1462-2920.13678","usgsCitation":"McHugh, T.A., Morrissey, E.M., Mueller, R.C., Gallegos-Graves, L.V., Kuske, C.R., and Reed, S.C., 2017, Bacterial, fungal, and plant communities exhibit no biomass or compositional response to two years of simulated nitrogen deposition in a semiarid grassland: Environmental Microbiology, v. 19, p. 1600-1611, https://doi.org/10.1111/1462-2920.13678.","productDescription":"12 p.","startPage":"1600","endPage":"1611","ipdsId":"IP-076072","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469966,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1414108","text":"External Repository"},{"id":344367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-13","publicationStatus":"PW","scienceBaseUri":"5979aa55e4b0ec1a488b8c0c","contributors":{"authors":[{"text":"McHugh, Theresa A.","contributorId":195169,"corporation":false,"usgs":false,"family":"McHugh","given":"Theresa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrissey, Ember M.","contributorId":166782,"corporation":false,"usgs":false,"family":"Morrissey","given":"Ember","email":"","middleInitial":"M.","affiliations":[{"id":24512,"text":"Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":706450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Rebecca C.","contributorId":175360,"corporation":false,"usgs":false,"family":"Mueller","given":"Rebecca","email":"","middleInitial":"C.","affiliations":[{"id":27561,"text":"Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA","active":true,"usgs":false}],"preferred":false,"id":706451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallegos-Graves, La Verne","contributorId":195170,"corporation":false,"usgs":false,"family":"Gallegos-Graves","given":"La","email":"","middleInitial":"Verne","affiliations":[],"preferred":false,"id":706452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuske, Cheryl R.","contributorId":175361,"corporation":false,"usgs":false,"family":"Kuske","given":"Cheryl","email":"","middleInitial":"R.","affiliations":[{"id":27561,"text":"Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA","active":true,"usgs":false}],"preferred":false,"id":706453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":706448,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189479,"text":"70189479 - 2017 - Community stability within the St. Marys River fish community: Evidence from trawl surveys","interactions":[],"lastModifiedDate":"2018-03-28T11:22:52","indexId":"70189479","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Community stability within the St. Marys River fish community: Evidence from trawl surveys","docAbstract":"<p><span>A trawl survey was conducted in the Saint Marys River during 2010–2011 and we compared our results to a prior trawl survey conducted during 1979–1983 to look for long-term changes in the fish community, especially in terms of changes induced by invasive species. We found no substantive temporal differences in fish density, fish biomass, or fish diversity; lower trawl biomass during 2010–2011 was likely a result of day versus night trawling. The Saint Marys River remains a center of high fish diversity, invasive species remain rare, and the system continues to exhibit overall long-term stability. Trawling captured a wide range of fish species, but was likely not an effective stock assessment tool for managed game fish because catch rates were low or variable for all game species except yellow perch. Trawling appeared to be an effective tool for sampling connecting channel diversity, especially when large numbers of individuals are needed for directed studies, but annual sampling would be needed to use data to assess recruitment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.10.014","usgsCitation":"Schaeffer, J.S., Bowen, A.K., and Fielder, D.G., 2017, Community stability within the St. Marys River fish community: Evidence from trawl surveys: Journal of Great Lakes Research, v. 43, no. 2, p. 399-404, https://doi.org/10.1016/j.jglr.2016.10.014.","productDescription":"6 p.","startPage":"399","endPage":"404","ipdsId":"IP-074635","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469965,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2016.10.014","text":"Publisher Index Page"},{"id":343814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"St. Marys River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.6441650390625,\n              45.920587344733654\n            ],\n            [\n              -83.529052734375,\n              45.920587344733654\n            ],\n            [\n              -83.529052734375,\n              46.558860303117164\n            ],\n            [\n              -84.6441650390625,\n              46.558860303117164\n            ],\n            [\n              -84.6441650390625,\n              45.920587344733654\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5968869ee4b0d1f9f05f597a","contributors":{"authors":[{"text":"Schaeffer, Jeffrey S.","contributorId":89083,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":704875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowen, Anjanette K.","contributorId":27398,"corporation":false,"usgs":true,"family":"Bowen","given":"Anjanette","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":704876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fielder, David G.","contributorId":127535,"corporation":false,"usgs":false,"family":"Fielder","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":7024,"text":"Michigan Department of Natural Resources, Fisheries Research Station","active":true,"usgs":false}],"preferred":false,"id":704877,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193667,"text":"70193667 - 2017 - Estimating occupancy probability of moose using hunter survey data","interactions":[],"lastModifiedDate":"2017-11-06T11:06:34","indexId":"70193667","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occupancy probability of moose using hunter survey data","docAbstract":"<p><span>Monitoring rare species can be difficult, especially across large spatial extents, making conventional methods of population monitoring costly and logistically challenging. Citizen science has the potential to produce observational data across large areas that can be used to monitor wildlife distributions using occupancy models. We used citizen science (i.e., hunter surveys) to facilitate monitoring of moose (</span><i>Alces alces</i><span>) populations, an especially important endeavor because of their recent apparent declines in the northeastern and upper midwestern regions of the United States. To better understand patterns of occurrence of moose in New York, we used data collected through an annual survey of approximately 11,000 hunters between 2012 and 2014 that recorded detection–non-detection data of moose and other species. We estimated patterns of occurrence of moose in relation to land cover characteristics, climate effects, and interspecific interactions using occupancy models to analyze spatially referenced moose observations. Coniferous and deciduous forest with low prevalence of white-tailed deer (</span><i>Odocoileus virginianus</i><span>) had the highest probability of moose occurrence. This study highlights the potential of data collected using citizen science for understanding the spatial distribution of low-density species across large spatial extents and providing key information regarding where and when future research and management activities should be focused.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21207","usgsCitation":"Crum, N.J., Fuller, A.K., Sutherland, C.S., Cooch, E.G., and Hurst, J.E., 2017, Estimating occupancy probability of moose using hunter survey data: Journal of Wildlife Management, v. 81, no. 3, p. 521-534, https://doi.org/10.1002/jwmg.21207.","productDescription":"14 p.","startPage":"521","endPage":"534","ipdsId":"IP-074160","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461649,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21207","text":"Publisher Index Page"},{"id":348253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.365966796875,\n              42.0125705565935\n            ],\n            [\n              -73.267822265625,\n              42.0125705565935\n            ],\n            [\n              -73.267822265625,\n              45.00753503123719\n            ],\n            [\n              -76.365966796875,\n              45.00753503123719\n            ],\n            [\n              -76.365966796875,\n              42.0125705565935\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"81","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-28","publicationStatus":"PW","scienceBaseUri":"5a07e90fe4b09af898c8cbe9","contributors":{"authors":[{"text":"Crum, Nathan J.","contributorId":200016,"corporation":false,"usgs":false,"family":"Crum","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutherland, Christopher S.","contributorId":139375,"corporation":false,"usgs":false,"family":"Sutherland","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":720655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooch, Evan G.","contributorId":100673,"corporation":false,"usgs":true,"family":"Cooch","given":"Evan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":720656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hurst, Jeremy E.","contributorId":177504,"corporation":false,"usgs":false,"family":"Hurst","given":"Jeremy","email":"","middleInitial":"E.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":720657,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191872,"text":"70191872 - 2017 - Urbanization may limit impacts of an invasive predator on native mammal diversity","interactions":[],"lastModifiedDate":"2017-10-18T14:45:36","indexId":"70191872","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Urbanization may limit impacts of an invasive predator on native mammal diversity","docAbstract":"<p><strong>Aim</strong></p><p>Our understanding of the effects of invasive species on faunal diversity is limited in part because invasions often occur in modified landscapes where other drivers of community diversity can exacerbate or reduce the net impacts of an invader. Furthermore, rigorous assessments of the effects of invasive species on native communities that account for variation in sampling, species-specific detection and occurrence of rare species are lacking. Invasive Burmese pythons (<i>Python molurus bivittatus</i>) may be causing declines in medium- to large-sized mammals throughout the Greater Everglades Ecosystem (GEE); however, other factors such as urbanization, habitat changes and drastic alteration in water flow may also be influential in structuring mammal communities. The aim of this study was to gain an understanding of how mammal communities simultaneously facing invasive predators and intensively human-altered landscapes are influenced by these drivers and their interactions.</p><p><strong>Location</strong></p><p>Florida, USA.</p><p><strong>Methods</strong></p><p>We used data from trail cameras and scat searches with a hierarchical community model that accounts for undetected species to determine the relative influence of introduced Burmese pythons, urbanization, local hydrology, habitat types and interactive effects between pythons and urbanization on mammal species occurrence, site-level species richness, and turnover.</p><p><strong>Results</strong></p><p>Python density had significant negative effects on all species except coyotes. Despite these negative effects, occurrence of some generalist species increased significantly near urban areas. At the community level, pythons had the greatest impact on species richness, while turnover was greatest along the urbanization gradient where communities were increasingly similar as distance to urbanization decreased.</p><p><strong>Main conclusions</strong></p><p>We found evidence for an antagonistic interaction between pythons and urbanization where the impacts of pythons were reduced near urban development. Python-induced changes to mammal communities may be mediated near urban development, but elsewhere in the GEE, pythons are likely causing a fundamental restructuring of the food web, declines in ecosystem function, and creating complex and unpredictable cascading effects.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12531","usgsCitation":"Reichert, B., Sovie, A.R., Udell, B.J., Hart, K.M., Borkhataria, R.R., Bonneau, M., Reed, R., and McCleery, R.A., 2017, Urbanization may limit impacts of an invasive predator on native mammal diversity: Diversity and Distributions, v. 23, no. 4, p. 355-367, https://doi.org/10.1111/ddi.12531.","productDescription":"13 p.","startPage":"355","endPage":"367","ipdsId":"IP-077761","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469970,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12531","text":"Publisher Index Page"},{"id":346891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.529296875,\n              25.085598897064752\n            ],\n            [\n              -80.0189208984375,\n              25.085598897064752\n            ],\n            [\n              -80.0189208984375,\n              27.235094607795503\n            ],\n            [\n              -82.529296875,\n              27.235094607795503\n            ],\n            [\n              -82.529296875,\n              25.085598897064752\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-26","publicationStatus":"PW","scienceBaseUri":"59e86836e4b05fe04cd4d1ff","contributors":{"authors":[{"text":"Reichert, Brian E.","contributorId":197423,"corporation":false,"usgs":false,"family":"Reichert","given":"Brian E.","affiliations":[],"preferred":false,"id":713475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sovie, Adia R.","contributorId":197424,"corporation":false,"usgs":false,"family":"Sovie","given":"Adia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":713477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Udell, Brad J.","contributorId":197490,"corporation":false,"usgs":false,"family":"Udell","given":"Brad","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":713478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borkhataria, Rena R.","contributorId":197425,"corporation":false,"usgs":false,"family":"Borkhataria","given":"Rena","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":713479,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonneau, Mathieu","contributorId":150041,"corporation":false,"usgs":false,"family":"Bonneau","given":"Mathieu","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":713480,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":713474,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCleery, Robert A.","contributorId":139849,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":713476,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70186040,"text":"70186040 - 2017 - Species composition, timing, and weather correlates of autumn open-water crossings by raptors migrating along the East-Asian Oceanic Flyway","interactions":[],"lastModifiedDate":"2017-11-22T17:03:36","indexId":"70186040","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Species composition, timing, and weather correlates of autumn open-water crossings by raptors migrating along the East-Asian Oceanic Flyway","docAbstract":"<p><span>Raptor migration rarely involves long-distance movements across open oceans. One exception occurs along the East-Asian Oceanic Flyway. We collected migration data at two terrestrial hawkwatch sites along this flyway to better understand open-ocean movements along this largely overwater corridor. At the northern end of the Philippines, at Basco on the island of Batan, we recorded 7587 migratory raptors in autumn 2014. Near the southern end of the Philippines, at Cape San Agustin on the island of Mindanao, we recorded 27,399 raptors migrating in autumn 2012. Chinese Sparrowhawks (</span><i>Accipiter soloensis</i><span>) were the most common raptors observed, making up approximately 89% and 92% of total records for Basco and Cape San Agustin, respectively. The Grey-faced Buzzard (</span><i>Butastur indicus</i><span>) was the second most common raptor migrant, accounting for 8% of the total counts at both watch sites. The migration period was about 1–2 wk earlier at Basco, the more northerly site, than at Cape San Agustin. Overwater flights at Basco peaked in both the morning and late afternoon, whereas at Cape San Agustin there was only a morning peak. In general, the rate of migration passage at both sites was highest with clear skies when winds were blowing from the northwest. However, we observed interspecific differences in migration behavior at both sites, with </span><i>Accipiters</i><span> more likely to be observed with tailwinds and eastward winds, and Grey-faced Buzzards more likely observed with headwinds. These results help to characterize poorly known aspects of raptor biology and to identify potential migratory bottlenecks or key sites for raptor conservation in little-studied Philippine tropical ecosystems.</span></p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-16-00001.1","usgsCitation":"Concepcion, C.B., Dumandan, P., Silvosa, M.R., Bildstein, K.L., and Katzner, T., 2017, Species composition, timing, and weather correlates of autumn open-water crossings by raptors migrating along the East-Asian Oceanic Flyway: Journal of Raptor Research, v. 51, no. 1, p. 25-37, https://doi.org/10.3356/JRR-16-00001.1.","productDescription":"13 p.","startPage":"25","endPage":"37","ipdsId":"IP-071451","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469982,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.3356/JRR-16-00001.1","text":"External Repository"},{"id":338780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"East-Asian Oceanic Flyway","volume":"51","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de1949e4b02ff32c699c79","contributors":{"authors":[{"text":"Concepcion, Camille B.","contributorId":190164,"corporation":false,"usgs":false,"family":"Concepcion","given":"Camille","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":687440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumandan, Patricia T.","contributorId":190165,"corporation":false,"usgs":false,"family":"Dumandan","given":"Patricia T.","affiliations":[],"preferred":false,"id":687441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silvosa, Medel R.","contributorId":190166,"corporation":false,"usgs":false,"family":"Silvosa","given":"Medel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":687442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bildstein, Keith L.","contributorId":150854,"corporation":false,"usgs":false,"family":"Bildstein","given":"Keith","email":"","middleInitial":"L.","affiliations":[{"id":18119,"text":"Hawk Mountain Sanctuary, Acopian Center for Conservation Learning","active":true,"usgs":false}],"preferred":false,"id":687443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":687439,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185712,"text":"70185712 - 2017 - Demersal fish assemblages on seamounts and other rugged features in the northeastern Caribbean","interactions":[],"lastModifiedDate":"2018-03-29T11:17:18","indexId":"70185712","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1370,"text":"Deep-Sea Research Part I: Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"Demersal fish assemblages on seamounts and other rugged features in the northeastern Caribbean","docAbstract":"<p><span>Recent investigations of demersal fish communities in deepwater (&gt;50 m) habitats have considerably increased our knowledge of the factors that influence the assemblage structure of fishes across mesophotic to deep-sea depths. While different habitat types influence deepwater fish distribution, whether different types of rugged seafloor features </span><span>provide functionally equivalent habitat for fishes is poorly understood. In the northeastern Caribbean, different types of rugged features (e.g., seamounts, banks, canyons) punctuate insular margins, and thus create a remarkable setting in which to compare demersal fish communities across various features. Concurrently, several water masses are vertically layered in the water column, creating strong stratification layers corresponding to specific abiotic conditions. In this study, we examined differences among fish assemblages across different features (e.g., seamount, canyon, bank/ridge) and water masses at depths ranging from 98 to 4060</span><span>&nbsp;</span><span>m in the northeastern Caribbean. We conducted 26 remotely operated vehicle dives across 18 sites, identifying 156 species of which 42% of had not been previously recorded from particular depths or localities in the region. While rarefaction curves indicated fewer species at seamounts than at other features in the NE Caribbean, assemblage structure was similar among the different types of features. Thus, similar to seamount studies in other regions, seamounts in the Anegada Passage do not harbor distinct communities from other types of rugged features. Species assemblages, however, differed among depths, with zonation generally corresponding to water mass boundaries in the region. High species turnover occurred at depths &lt;1200</span><span>&nbsp;</span><span>m, and may be driven by changes in water mass characteristics including temperature (4.8–24.4</span><span>&nbsp;</span><span>°C) and dissolved oxygen (2.2–9.5</span><span>&nbsp;</span><span>mg per l). Our study suggests the importance of water masses in influencing community structure of&nbsp;benthic fauna, while considerably adding to the knowledge of mesophotic and deep-sea fish biogeography.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr.2017.03.009","usgsCitation":"Quattrini, A.M., Demopoulos, A., Singer, R., Roa-Varon, A., and Chaytor, J., 2017, Demersal fish assemblages on seamounts and other rugged features in the northeastern Caribbean: Deep-Sea Research Part I: Oceanographic Research Papers, v. 123, p. 90-104, https://doi.org/10.1016/j.dsr.2017.03.009.","productDescription":"15 p.","startPage":"90","endPage":"104","ipdsId":"IP-083697","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469984,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://hdl.handle.net/1912/9076","text":"Publisher Index Page"},{"id":438403,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HQ3X4M","text":"USGS data release","linkHelpText":"Demersal fish assemblages on seamounts and other rugged features in the northeastern Caribbean"},{"id":338541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc7d4e4b02ff32c68566b","contributors":{"authors":[{"text":"Quattrini, Andrea M. aquattrini@usgs.gov","contributorId":149346,"corporation":false,"usgs":true,"family":"Quattrini","given":"Andrea","email":"aquattrini@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":686500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":371,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda W.J.","email":"ademopoulos@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":686499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singer, Randal","contributorId":189929,"corporation":false,"usgs":false,"family":"Singer","given":"Randal","email":"","affiliations":[],"preferred":false,"id":686501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roa-Varon, Adela","contributorId":189930,"corporation":false,"usgs":false,"family":"Roa-Varon","given":"Adela","affiliations":[],"preferred":false,"id":686502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":4961,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason D.","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":686503,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185310,"text":"70185310 - 2017 - The role of salinity tolerance and competition in the distribution of an endangered desert salt marsh endemic","interactions":[],"lastModifiedDate":"2017-03-27T13:22:36","indexId":"70185310","displayToPublicDate":"2017-03-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The role of salinity tolerance and competition in the distribution of an endangered desert salt marsh endemic","docAbstract":"Rare plants are often associated with distinctive soil types, and understanding why endemic species occur in unique environments is fundamental for their management. At Ash Meadows National Wildlife Refuge in southern Nevada, USA, we evaluated whether the limited distribution of endangered Amargosa niterwort (Nitrophila mohavensis) is explained by this species’ tolerance of saline soils on salt-encrusted mud flats compared with the broadly distributed desert saltgrass (Distichlis spicata var. stricta). We simultaneously explored whether niterwort distribution is restricted from expanding due to interspecific competition with saltgrass. Surface soils collected throughout niterwort’s range were unexpectedly less saline with lower extractable Na, seasonal electroconductivity, and Na absorption ratio, and higher soil moisture than in adjacent saltgrass or mixed shrub habitats. Comparison of niterwort and saltgrass growth along an experimental salinity gradient in a greenhouse demonstrated lower growth of niterwort at all but the highest NaCl concentrations. Although growth of niterwort ramets was similar when transplanted into both habitats at the refuge below Crystal Reservoir, niterwort reproductive effort was considerably higher in saltgrass compared to its own habitat, implying reallocation of resources to sexual reproduction to maximize fitness when the probability of ramet mortality increases with greater salinity stress. Saltgrass was not a demonstrated direct competitor of niterwort; however, this species is known to increase soil salinity by exuding salt ions and through litterfall. Niterwort conservation will benefit from protecting hydrological processes that reduce salinity stress and preventing saltgrass colonization into niterwort habitat.","language":"English","publisher":"Springer","doi":"10.1007/s11258-017-0704-3","usgsCitation":"DeFalco, L.A., Scoles-Sciulla, S.J., and Beamguard, E.R., 2017, The role of salinity tolerance and competition in the distribution of an endangered desert salt marsh endemic: Plant Ecology, v. 218, no. 4, p. 475-486, https://doi.org/10.1007/s11258-017-0704-3.","productDescription":"12 p. ","startPage":"475","endPage":"486","ipdsId":"IP-082612","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":338016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Ash Meadows Wildlife Refuge ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.34933471679688,\n              36.49418152677427\n            ],\n            [\n              -116.38023376464844,\n              36.466024095566866\n            ],\n            [\n              -116.38298034667969,\n              36.44448503928196\n            ],\n            [\n              -116.33560180664062,\n              36.372092122929686\n            ],\n            [\n              -116.290283203125,\n              36.34776181462616\n            ],\n            [\n              -116.24771118164061,\n              36.349973975123945\n            ],\n            [\n              -116.24153137207031,\n              36.41520442730446\n            ],\n            [\n              -116.25526428222656,\n              36.436751611390264\n            ],\n            [\n              -116.26968383789062,\n              36.436751611390264\n            ],\n            [\n              -116.290283203125,\n              36.43509434800219\n            ],\n            [\n              -116.30058288574219,\n              36.45221769643571\n            ],\n            [\n              -116.3129425048828,\n              36.477619571094515\n            ],\n            [\n              -116.31706237792969,\n              36.49086941889727\n            ],\n            [\n              -116.33697509765625,\n              36.493077506552744\n            ],\n            [\n              -116.34933471679688,\n              36.49418152677427\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"218","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-04","publicationStatus":"PW","scienceBaseUri":"58d38d39e4b0236b68f98ede","contributors":{"authors":[{"text":"DeFalco, Lesley A. 0000-0002-7542-9261 ldefalco@usgs.gov","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":177536,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley","email":"ldefalco@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":685121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scoles-Sciulla, Sara J. 0000-0003-1693-5030 sscoles@usgs.gov","orcid":"https://orcid.org/0000-0003-1693-5030","contributorId":2614,"corporation":false,"usgs":true,"family":"Scoles-Sciulla","given":"Sara","email":"sscoles@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":685122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beamguard, Emily R.","contributorId":189543,"corporation":false,"usgs":false,"family":"Beamguard","given":"Emily","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":685123,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185342,"text":"70185342 - 2017 - A model to inform management actions as a response to chytridiomycosis-associated decline","interactions":[],"lastModifiedDate":"2017-03-21T09:02:43","indexId":"70185342","displayToPublicDate":"2017-03-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"A model to inform management actions as a response to chytridiomycosis-associated decline","docAbstract":"<p>Decision-analytic models provide forecasts of how systems of interest will respond to management. These models can be parameterized using empirical data, but sometimes require information elicited from experts. When evaluating the effects of disease in species translocation programs, expert judgment is likely to play a role because complete empirical information will rarely be available. We illustrate development of a decision-analytic model built to inform decision-making regarding translocations and other management actions for the boreal toad (Anaxyrus boreas boreas), a species with declines linked to chytridiomycosis caused by Batrachochytrium dendrobatidis (Bd). Using the model, we explored the management implications of major uncertainties in this system, including whether there is a genetic basis for resistance to pathogenic infection by Bd, how translocation can best be implemented, and the effectiveness of efforts to reduce the spread of Bd. Our modeling exercise suggested that while selection for resistance to pathogenic infection<span>Decision-analytic models provide forecasts of how systems of interest will respond to management. These models can be parameterized using empirical data, but sometimes require information elicited from experts. When evaluating the effects of disease in species translocation programs, expert judgment is likely to play a role because complete empirical information will rarely be available. We illustrate development of a decision-analytic model built to inform decision-making regarding translocations and other management actions for the boreal toad (</span><i class=\"EmphasisTypeItalic \">Anaxyrus boreas boreas</i><span>), a species with declines linked to chytridiomycosis caused by </span><i class=\"EmphasisTypeItalic \">Batrachochytrium dendrobatidis</i><span> (</span><i class=\"EmphasisTypeItalic \">Bd</i><span>). Using the model, we explored the management implications of major uncertainties in this system, including whether there is a genetic basis for resistance to pathogenic infection by </span><i class=\"EmphasisTypeItalic \">Bd</i><span>, how translocation can best be implemented, and the effectiveness of efforts to reduce the spread of </span><i class=\"EmphasisTypeItalic \">Bd</i><span>. Our modeling exercise suggested that while selection for resistance to pathogenic infection by </span><i class=\"EmphasisTypeItalic \">Bd</i><span> could increase numbers of sites occupied by toads, and translocations could increase the rate of toad recovery, efforts to reduce the spread of </span><i class=\"EmphasisTypeItalic \">Bd</i><span> may have little effect. We emphasize the need to continue developing and parameterizing models necessary to assess management actions for combating chytridiomycosis-associated declines.</span> by Bd could increase numbers of sites occupied by toads, and translocations could increase the rate of toad recovery, efforts to reduce the spread of Bd may have little effect. We emphasize the need to continue developing and parameterizing models necessary to assess management actions for combating chytridiomycosis-associated declines.</p>","language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/s10393-016-1117-9","usgsCitation":"Converse, S.J., Bailey, L., Mosher, B.A., Funk, W.C., Gerber, B.D., and Muths, E.L., 2017, A model to inform management actions as a response to chytridiomycosis-associated decline: EcoHealth, v. 14, no. 1, p. 144-155, https://doi.org/10.1007/s10393-016-1117-9.","productDescription":"12 p.","startPage":"144","endPage":"155","ipdsId":"IP-070781","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":337907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-07","publicationStatus":"PW","scienceBaseUri":"58d23b90e4b0236b68f828ec","chorus":{"doi":"10.1007/s10393-016-1117-9","url":"http://dx.doi.org/10.1007/s10393-016-1117-9","publisher":"Springer Nature","authors":"Converse Sarah J., Bailey Larissa L., Mosher Brittany A., Funk W. Chris, Gerber Brian D., Muths Erin","journalName":"EcoHealth","publicationDate":"4/7/2016","auditedOn":"8/1/2016","publiclyAccessibleDate":"4/7/2016"},"contributors":{"authors":[{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":685238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":685239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosher, Brittany A.","contributorId":189579,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":685281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":685241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerber, Brian D.","contributorId":187620,"corporation":false,"usgs":false,"family":"Gerber","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":685282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":685242,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70259478,"text":"70259478 - 2017 - Early postcaldera rhyolite and structural resurgence at Long Valley Caldera, California","interactions":[],"lastModifiedDate":"2024-10-09T15:08:30.497692","indexId":"70259478","displayToPublicDate":"2017-03-20T09:58:20","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Early postcaldera rhyolite and structural resurgence at Long Valley Caldera, California","docAbstract":"<div id=\"sp0195\" class=\"u-margin-s-bottom\">After the 767-ka caldera-forming eruption of 650&nbsp;km<sup>3</sup><span>&nbsp;of&nbsp;rhyolite&nbsp;magma&nbsp;as the Bishop Tuff, 90–100</span>&nbsp;km<sup>3</sup><span>&nbsp;of similar&nbsp;rhyolite&nbsp;erupted in the west-central part of Long Valley caldera in as many as 40 batches spread over the 110,000-year interval from ~</span>&nbsp;750&nbsp;ka to ~&nbsp;640&nbsp;ka. Centrally, this Early Rhyolite (ER) is as thick as 622&nbsp;m, but it spread radially to cover much of the caldera floor, where half its area is now concealed by post-ER sediments and lavas. At least 75% of the ER is aphyric rhyolite tuff. Drillholes encountered ~&nbsp;<span>22 (altered) ER&nbsp;lava flows&nbsp;intercalated in the pyroclastic pile, and another 11</span>&nbsp;<span>units of (largely fresh) ER lava are exposed on the caldera's resurgent dome and at Lookout Mountain. Exposed units have been distinguished, mapped, studied petrographically and chemically, and radioisotopically dated; each is described in detail. Their&nbsp;phenocryst&nbsp;contents range from 0 to 2.5</span>&nbsp;<span>wt%. All the phyric units have plagioclase,&nbsp;orthopyroxene, and&nbsp;ilmenite; most have&nbsp;biotite&nbsp;and rare tiny magnetite, and a few contain rare&nbsp;zircon. The compositional range of fresh&nbsp;obsidians&nbsp;is narrow—74.3–75.0% SiO</span><sub>2</sub>, 1.21–1.37% FeO*, and 5.12–5.26% K<sub>2</sub>O, but wider variations in Ti, Ba, Sr, and Zr permit distinction of individual units and eruptive groups. The limited chemical and petrographic variability shown by so many ER batches released episodically for ~&nbsp;110,000&nbsp;years suggests a thermally buffered and well-stirred reservoir.</div><div id=\"sp0200\" class=\"u-margin-s-bottom\">The ER central area, where ER eruptions had taken place, was uplifted ~&nbsp;400&nbsp;m to form a structural dome ~&nbsp;10&nbsp;km in diameter. Most of the inflation is attributable to 10 sills of ER that intrude the Bishop Tuff beneath the uplift, but other processes potentially contributing to resurgence are also considered. As shown by erratics of Mesozoic rocks ice-rafted from the Sierra Nevada and dropped on ER lavas, much of the ER had erupted early enough and at low enough elevation to be inundated by the intracaldera lake and was only later lifted by the resurgence that also raised clusters of the erratics hundreds of meters higher than any shoreline. Most of the uplift was over by ~&nbsp;570&nbsp;ka, but dome-crossing faults that exhibit normal throw of 10–30&nbsp;m cut lavas as young as 175–125&nbsp;ka.</div><div id=\"sp0205\" class=\"u-margin-s-bottom\">For most elements, chemical ranges of the ER lie within those of the zoned Bishop Tuff, which had erupted earlier from the same place. Only Ba, Zr, Hf, and Eu/Eu* extend to ranges outside those of the Bishop Tuff, nominally to less evolved compositions. Initial<span>&nbsp;</span><sup>87</sup>Sr/<sup>86</sup>Sr values of ER are likewise within the range of the Bishop Tuff, but ER ratios of<span>&nbsp;</span><sup>143</sup>Nd/<sup>144</sup>Nd and<span>&nbsp;</span><sup>206</sup>Pb/<sup>204</sup><span>Pb extend beyond those of the Bishop Tuff to values slightly more influenced by upper-crustal contributions. FeTi-oxide&nbsp;geothermometry&nbsp;yields 752°–844</span>&nbsp;°C for ER, compared to 700°–820&nbsp;°C for the Bishop Tuff. ER fO<sub>2</sub><span>&nbsp;</span>values are 0.5–1.0 log units more reduced than those of the T–fO<sub>2</sub><span>&nbsp;array of the Bishop Tuff. The postcaldera reduction may reflect reaction with graphite from the black lithics of Paleozoic graphitic&nbsp;metapelite&nbsp;so abundant in the Bishop Tuff. Much of the pumice emplaced during the later half of the Bishop Tuff eruption has 10–25</span>&nbsp;<span>wt% phenocrysts, dominantly quartz and&nbsp;sanidine, but the 100</span>&nbsp;km<sup>3</sup><span>&nbsp;</span>of ER has only 0–2.5&nbsp;<span>wt% and completely lacks quartz and&nbsp;sanidine. Postcaldera processes, including mixing, volatile ascent, and crystal&nbsp;resorption, as well as potential contaminants and magmatic inputs, are all considered.</span></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.01.005","usgsCitation":"Hildreth, W., Fierstein, J., and Calvert, A.T., 2017, Early postcaldera rhyolite and structural resurgence at Long Valley Caldera, California: Journal of Volcanology and Geothermal Research, v. 335, p. 1-34, https://doi.org/10.1016/j.jvolgeores.2017.01.005.","productDescription":"34 p.","startPage":"1","endPage":"34","ipdsId":"IP-076669","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":462745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.25,\n              38\n            ],\n            [\n              -119.25,\n              37.5\n            ],\n            [\n              -118.5,\n              37.5\n            ],\n            [\n              -118.5,\n              38\n            ],\n            [\n              -119.25,\n              38\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"335","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hildreth, Wes 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":2221,"corporation":false,"usgs":true,"family":"Hildreth","given":"Wes","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":915440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fierstein, Judith E. 0000-0001-8024-1426","orcid":"https://orcid.org/0000-0001-8024-1426","contributorId":329988,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judith E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":915441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"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":915442,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185271,"text":"70185271 - 2017 - Stable isotope analysis as an early monitoring tool for community-scale effects of rat eradication","interactions":[],"lastModifiedDate":"2017-11-10T14:30:30","indexId":"70185271","displayToPublicDate":"2017-03-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Stable isotope analysis as an early monitoring tool for community-scale effects of rat eradication","docAbstract":"<p><span>Invasive rats have colonized most of the islands of the world, resulting in strong negative impacts on native biodiversity and on ecosystem functions. As prolific omnivores, invasive rats can cause local extirpation of a wide range of native species, with cascading consequences that can reshape communities and ecosystems. Eradication of rats on islands is now becoming a widespread approach to restore ecosystems, and many native island species show strong numerical responses to rat eradication. However, the effect of rat eradication on other consumers can extend beyond direct numerical effects, to changes in behavior, dietary composition, and other ecological parameters. These behavioral and trophic effects may have strong cascading impacts on the ecology of restored ecosystems, but they have rarely been examined. In this study, we explore how rat eradication has affected the trophic ecology of native land crab communities. Using stable isotope analysis of rats and crabs, we demonstrate that the diet or trophic position of most crabs changed subsequent to rat eradication. Combined with the numerical recovery of two carnivorous land crab species (</span><i>Geograpsus</i><span> spp.), this led to a dramatic widening of the crab trophic niche following rat eradication. Given the established importance of land crabs in structuring island communities, particularly plants, this suggests an unappreciated mechanism by which rat eradication may alter island ecology. This study also demonstrates the potential for stable isotope analysis as a complementary monitoring tool to traditional techniques, with the potential to provide more nuanced assessments of the community- and ecosystem-wide effects of restoration.</span></p>","language":"English","publisher":"Society for Ecological Restoration","publisherLocation":"Malden, MA","doi":"10.1111/rec.12511","usgsCitation":"Nigro, K.M., Hathaway, S.A., Wegmann, A., Miller-ter Kuile, A., Fisher, R.N., and Young, H.S., 2017, Stable isotope analysis as an early monitoring tool for community-scale effects of rat eradication: Restoration Ecology, v. 25, no. 6, p. 1015-1025, https://doi.org/10.1111/rec.12511.","productDescription":"11 p.","startPage":"1015","endPage":"1025","ipdsId":"IP-080819","costCenters":[{"id":651,"text":"Western Ecological Research 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  }\n  ]\n}","volume":"25","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ccf599e4b0849ce97f0cd6","contributors":{"authors":[{"text":"Nigro, Katherine M.","contributorId":189487,"corporation":false,"usgs":false,"family":"Nigro","given":"Katherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hathaway, Stacie A. 0000-0002-4167-8059 sahathaway@usgs.gov","orcid":"https://orcid.org/0000-0002-4167-8059","contributorId":3420,"corporation":false,"usgs":true,"family":"Hathaway","given":"Stacie","email":"sahathaway@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":684967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wegmann, Alex","contributorId":189488,"corporation":false,"usgs":false,"family":"Wegmann","given":"Alex","email":"","affiliations":[],"preferred":false,"id":684968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller-ter Kuile, Ana","contributorId":189489,"corporation":false,"usgs":false,"family":"Miller-ter Kuile","given":"Ana","email":"","affiliations":[],"preferred":false,"id":684969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":684965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":684970,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70185132,"text":"70185132 - 2017 - Functional traits and ecological affinities of riparian plants along the Colorado River in Grand Canyon","interactions":[],"lastModifiedDate":"2020-12-17T17:45:03.871429","indexId":"70185132","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Functional traits and ecological affinities of riparian plants along the Colorado River in Grand Canyon","docAbstract":"<p><span>Trait-based approaches to vegetation analyses are becoming more prevalent in studies of riparian vegetation dynamics, including responses to flow regulation, groundwater pumping, and climate change. These analyses require species trait data compiled from the literature and floras or original field measurements. Gathering such data makes trait-based research time intensive at best and impracticable in some cases. To support trait-based analysis of vegetation along the Colorado River through Grand Canyon, a data set of 20 biological traits and ecological affinities for 179 species occurring in that study area was compiled. This diverse flora shares species with many riparian areas in the western USA and includes species that occur across a wide moisture gradient. Data were compiled from published scientific papers, unpublished reports, plant fact sheets, existing trait databases, regional floras, and plant guides. Data for ordinal environmental tolerances were more readily available than were quantitative traits. More publicly available data are needed for traits of both common and rare southwestern U.S. plant species to facilitate comprehensive, trait-based research. The trait data set is free to use and can be downloaded from ScienceBase: https://www.sciencebase.gov/catalog/item/58af41dee4b01ccd54f9f2ff and https://dx.doi.org/10.5066/F7QV3JN1</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0104","usgsCitation":"Palmquist, E.C., Ralston, B.E., Daniel, S., Merritt, D., Shafroth, P.B., and Scott, J., 2017, Functional traits and ecological affinities of riparian plants along the Colorado River in Grand Canyon: Western North American Naturalist, v. 77, no. 1, p. 22-30, https://doi.org/10.3398/064.077.0104.","productDescription":"9 p.","startPage":"22","endPage":"30","ipdsId":"IP-070768","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488970,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss1/3","text":"External Repository"},{"id":438415,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QV3JN1","text":"USGS data release","linkHelpText":"Southwestern Riparian Plant Trait Matrix, Colorado River, Grand Canyon, 2014 - 2016Data"},{"id":337615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.0545654296875,\n              35.576916524038616\n            ],\n            [\n              -111.2200927734375,\n              35.576916524038616\n            ],\n            [\n              -111.2200927734375,\n              37.00693943418586\n            ],\n            [\n              -114.0545654296875,\n              37.00693943418586\n            ],\n            [\n              -114.0545654296875,\n              35.576916524038616\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"77","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52c7e4b0849ce97c8680","contributors":{"authors":[{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":684464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralston, Barbara E. 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":606,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","middleInitial":"E.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":false,"id":684465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniel, Sarr.","contributorId":189307,"corporation":false,"usgs":false,"family":"Daniel","given":"Sarr.","email":"","affiliations":[],"preferred":false,"id":684466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merritt, David","contributorId":189308,"corporation":false,"usgs":false,"family":"Merritt","given":"David","affiliations":[],"preferred":false,"id":684467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B","contributorId":189309,"corporation":false,"usgs":false,"family":"Shafroth","given":"Patrick","email":"","middleInitial":"B","affiliations":[],"preferred":false,"id":684468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Julian","contributorId":61764,"corporation":false,"usgs":false,"family":"Scott","given":"Julian","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":684469,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70185066,"text":"70185066 - 2017 - Similarities and differences in occurrence and temporal fluctuations in glyphosate and atrazine in small Midwestern streams (USA) during the 2013 growing season","interactions":[],"lastModifiedDate":"2018-09-25T09:12:29","indexId":"70185066","displayToPublicDate":"2017-03-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Similarities and differences in occurrence and temporal fluctuations in glyphosate and atrazine in small Midwestern streams (USA) during the 2013 growing season","docAbstract":"<p><span>Glyphosate and atrazine are the most intensively used herbicides in the United States. Although there is abundant spatial and temporal information on atrazine occurrence at regional scales, there are far fewer data for glyphosate, and studies that compare the two herbicides are rare. We investigated temporal patterns in glyphosate and atrazine concentrations measured weekly during the 2013 growing season in 100 small streams in the Midwestern United States. Glyphosate was detected in 44% of samples (method reporting level 0.2&nbsp;μg/L); atrazine was detected above a threshold of 0.2&nbsp;μg/L in 54% of samples. Glyphosate was detected more frequently in 12 urban streams than in 88 agricultural streams, and at concentrations similar to those in streams with high agricultural land use (&gt;&nbsp;40% row crop) in the watershed. In contrast, atrazine was detected more frequently and at higher concentrations in agricultural streams than in urban streams. The maximum concentration of glyphosate measured at most urban sites exceeded the maximum atrazine concentration, whereas at agricultural sites the reverse was true. Measurement at a 2-day interval at 8 sites in northern Missouri revealed that transport of both herbicide compounds appeared to be controlled by spring flush, that peak concentration duration was brief, but that peaks in atrazine concentrations were of longer duration than those of glyphosate. The 2-day sampling also indicated that weekly sampling is unlikely to capture peak concentrations of glyphosate and atrazine.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.10.236","usgsCitation":"Mahler, B., Van Metre, P., Burley, T.E., Loftin, K.A., Meyer, M.T., and Nowell, L.H., 2017, Similarities and differences in occurrence and temporal fluctuations in glyphosate and atrazine in small Midwestern streams (USA) during the 2013 growing season: Science of the Total Environment, v. 579, p. 149-158, https://doi.org/10.1016/j.scitotenv.2016.10.236.","productDescription":"10 p.","startPage":"149","endPage":"158","ipdsId":"IP-076521","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":470016,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.10.236","text":"Publisher Index Page"},{"id":438416,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SN073J","text":"USGS data release","linkHelpText":"Concentrations of glyphosate and atrazine compounds in 100 Midwest United States streams in 2013"},{"id":337489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"579","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c90121e4b0849ce97abc9e","contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":172246,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":false,"id":684177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burley, Thomas E. 0000-0002-2235-8092 teburley@usgs.gov","orcid":"https://orcid.org/0000-0002-2235-8092","contributorId":3499,"corporation":false,"usgs":true,"family":"Burley","given":"Thomas","email":"teburley@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":684178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":684179,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684180,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70185013,"text":"70185013 - 2017 - Using maximum entropy to predict suitable habitat for the endangered dwarf wedgemussel in the Maryland Coastal Plain","interactions":[],"lastModifiedDate":"2017-04-19T16:09:34","indexId":"70185013","displayToPublicDate":"2017-03-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Using maximum entropy to predict suitable habitat for the endangered dwarf wedgemussel in the Maryland Coastal Plain","docAbstract":"<ol id=\"aqc2699-list-0001\" class=\"o-list--numbered\"><li id=\"aqc2699-li-0001\">Species distribution modelling can be useful for the conservation of rare and endangered species. Freshwater mussel declines have thinned species ranges producing spatially fragmented distributions across large areas. Spatial fragmentation in combination with a complex life history and heterogeneous environment makes predictive modelling difficult.</li><li id=\"aqc2699-li-0002\">A machine learning approach (maximum entropy) was used to model occurrences and suitable habitat for the federally endangered dwarf wedgemussel, <i>Alasmidonta heterodon</i>, in Maryland's Coastal Plain catchments. Landscape-scale predictors (e.g. land cover, land use, soil characteristics, geology, flow characteristics, and climate) were used to predict the suitability of individual stream segments for <i>A. heterodon</i>.</li><li id=\"aqc2699-li-0003\">The best model contained variables at three scales: minimum elevation (segment scale), percentage Tertiary deposits, low intensity development, and woody wetlands (sub-catchment), and percentage low intensity development, pasture/hay agriculture, and average depth to the water table (catchment). Despite a very small sample size owing to the rarity of <i>A. heterodon</i>, cross-validated prediction accuracy was 91%.</li><li id=\"aqc2699-li-0004\">Most predicted suitable segments occur in catchments not known to contain <i>A. heterodon</i>, which provides opportunities for new discoveries or population restoration. These model predictions can guide surveys toward the streams with the best chance of containing the species or, alternatively, away from those streams with little chance of containing <i>A. heterodon</i>.</li><li id=\"aqc2699-li-0005\">Developed reaches had low predicted suitability for <i>A. heterodon</i> in the Coastal Plain. Urban and exurban sprawl continues to modify stream ecosystems in the region, underscoring the need to preserve existing populations and to discover and protect new populations.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1002/aqc.2699","usgsCitation":"Campbell, C., and Hilderbrand, R.H., 2017, Using maximum entropy to predict suitable habitat for the endangered dwarf wedgemussel in the Maryland Coastal Plain: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 27, no. 2, p. 462-475, https://doi.org/10.1002/aqc.2699.","productDescription":"14 p.","startPage":"462","endPage":"475","ipdsId":"IP-064966","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":337523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","volume":"27","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-03","publicationStatus":"PW","scienceBaseUri":"58c90122e4b0849ce97abcac","contributors":{"authors":[{"text":"Campbell, Cara ccampbell@usgs.gov","contributorId":2371,"corporation":false,"usgs":true,"family":"Campbell","given":"Cara","email":"ccampbell@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":683954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilderbrand, Robert H.","contributorId":140410,"corporation":false,"usgs":false,"family":"Hilderbrand","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":13480,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":683955,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185060,"text":"70185060 - 2017 - Geochemistry of host rocks in the Howards Pass district, Yukon-Northwest Territories, Canada: implications for sedimentary environments of Zn-Pb and phosphate mineralization","interactions":[],"lastModifiedDate":"2017-03-22T14:41:40","indexId":"70185060","displayToPublicDate":"2017-03-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry of host rocks in the Howards Pass district, Yukon-Northwest Territories, Canada: implications for sedimentary environments of Zn-Pb and phosphate mineralization","docAbstract":"<p><span>Detailed lithogeochemical data are reported here on early Paleozoic sedimentary rocks that host the large Howards Pass stratiform Zn-Pb deposits in Yukon-Northwest Territories. Redox-sensitive trace elements (Mo, Re, V, U) and Ce anomalies in members of the Duo Lake Formation record significant environmental changes. During the deposition of lower footwall units (Pyritic siliceous and Calcareous mudstone members), bottom waters were anoxic and sulphidic, respectively; these members formed in a marginal basin that may have become increasingly restricted with time. Relative to lower members, a major environmental change is proposed for deposition of the overlying Lower cherty mudstone member, which contains phosphorite beds up to ∼0.8&nbsp;m thick in the upper part, near the base of the Zn-Pb deposits. The presence of these beds, together with models for modern phosphorite formation, suggests P input from an upwelling system and phosphorite deposition in an upper slope or outer shelf setting. The overlying Active mudstone member contains stratabound to stratiform Zn-Pb deposits within black mudstone and gray calcareous mudstone. Data for unmineralized black mudstone in this member indicate deposition under diverse redox conditions from suboxic to sulphidic. Especially distinctive in this member are uniformly low ratios of light to heavy rare earth elements that are unique within the Duo Lake Formation, attributed here to the dissolution of sedimentary apatite by downward-percolating acidic metalliferous brines. Strata that overlie the Active member (Upper siliceous mudstone member) consist mainly of black mudstone with thin (0.5–1.5&nbsp;cm) laminae of fine-grained apatite, recording continued deposition on an upper slope or outer shelf under predominantly suboxic bottom waters. Results of this study suggest that exploration for similar stratiform sediment-hosted Zn-Pb deposits should include the outer parts of ancient continental margins, especially at and near stratigraphic transitions from marginal basin facies to overlying slope or shelf facies.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00126-016-0680-x","usgsCitation":"Slack, J.F., Falck, H., Kelley, K.D., and Xue, G.G., 2017, Geochemistry of host rocks in the Howards Pass district, Yukon-Northwest Territories, Canada: implications for sedimentary environments of Zn-Pb and phosphate mineralization: Mineralium Deposita, v. 52, no. 4, p. 565-593, https://doi.org/10.1007/s00126-016-0680-x.","productDescription":"29 p.","startPage":"565","endPage":"593","ipdsId":"IP-076693","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":337465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-05","publicationStatus":"PW","scienceBaseUri":"58c7af9be4b0849ce9795e72","contributors":{"authors":[{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":684113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falck, Hendrik","contributorId":167705,"corporation":false,"usgs":false,"family":"Falck","given":"Hendrik","email":"","affiliations":[{"id":24811,"text":"NWT Geoscience Office, Yellowknife, Canada","active":true,"usgs":false}],"preferred":false,"id":684114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Karen D. kdkelley@usgs.gov","contributorId":431,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":684115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xue, Gabriel G.","contributorId":189206,"corporation":false,"usgs":false,"family":"Xue","given":"Gabriel","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":684116,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70184404,"text":"ofr20171025 - 2017 - Natural resource inventory and monitoring for Ulaan Taiga Specially Protected Areas—An assessment of needs and opportunities in northern Mongolia","interactions":[],"lastModifiedDate":"2017-03-14T09:45:46","indexId":"ofr20171025","displayToPublicDate":"2017-03-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1025","title":"Natural resource inventory and monitoring for Ulaan Taiga Specially Protected Areas—An assessment of needs and opportunities in northern Mongolia","docAbstract":"<p class=\"p1\">Between 1997 and 2011, Mongolia established three specially protected areas in the north-central part of the country to protect various high-value resources. These areas are jointly referred to as the Ulaan Taiga Specially Protected Areas. In accordance with the goals of the draft general management plan, this report identifies options for initiating an inventory and monitoring program for the three protected areas. Together, the three areas comprise over 1.5 million hectares of mountainous terrain west of Lake Hovsgol and bordering the Darkhad Valley. The area supports numerous rare ungulates, endangered fish, and over 40 species of threatened plants. Illegal mining, illegal logging, and poaching pose the most immediate threats to resources. As a first step, a review of published literature would inform natural resource management at the Ulaan Taiga Specially Protected Areas because it would inform other inventories.</p><p class=\"p1\">Vegetation classification and mapping also would inform other inventory efforts because the process incorporates geographic analysis to identify environmental gradients, fine-scale sampling that captures species composition and structure, and landscape-scale results that represent the variety and extent of habitats for various organisms. Mapping using satellite imagery reduces the cost per hectare.</p><p class=\"p1\">Following a determination of existing knowledge, field surveys of vertebrates and vascular plants would serve to build species lists and fill in gaps in existing knowledge. For abiotic resources, a focus on monitoring air quality, evaluating and monitoring water quality, and assembling and storing weather data would provide information for correlating resource response status with changing environmental conditions.</p><p class=\"p1\">Finally, we identify datasets that, if incorporated into a geographic information system, would inform resource management. They include political boundaries, infrastructure, topography, surficial geology, hydrology, fire history, and soils.</p><p class=\"p1\">In terms of tracking high-value resources, vegetation monitoring at the plot scale would provide a basis for detecting change in such characteristics as plant species composition, vegetation structure, and productivity that are associated with landscape-scale factors such as climate change or biotic interactions. Continued population monitoring of rare ungulates, particularly argali or wild sheep (<i>Ovis ammon</i>), would provide information on how populations are responding to natural and anthropogenic stressors. Siberian taimen (<i>Hucho taimen</i>) also is an important monitoring target given ongoing threats of poaching and climate change.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171025","usgsCitation":"Moore, P.E., Meyer, J.B., and Chow, L.S., 2017, Natural resource inventory and monitoring for Ulaan Taiga Specially Protected Areas—An assessment of needs and opportunities in northern Mongolia: U.S. Geological Survey Open-File Report 2017–1025, 35 p., https://doi.org/10.3133/ofr20171025.","productDescription":"viii, 35 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-082861","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":337345,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1025/coverthb.jpg"},{"id":337346,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1025/ofr20171025.pdf","text":"Report","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1025"}],"country":"Mongolia","otherGeospatial":"Ulaan Taiga Specially Protected Areas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              97.55859375,\n              49.89463439573421\n            ],\n            [\n              102.48046875,\n              49.89463439573421\n            ],\n            [\n              102.48046875,\n              52.24125614966341\n            ],\n            [\n              97.55859375,\n              52.24125614966341\n            ],\n            [\n              97.55859375,\n              49.89463439573421\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Western Ecological Research Center<br> U.S. Geological Survey<br> 3020 State University Drive East<br> Sacramento, California 95819<br> <a href=\"http://www.werc.usgs.gov/\" target=\"blank\" data-mce-href=\"http://www.werc.usgs.gov/\">http://www.werc.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Protected Areas</li><li>Natural Resource Inventories</li><li>Monitoring</li><li>Research to Inform Natural Resource Inventory and Monitoring</li><li>Conclusions</li><li>References Cited</li><li>Glossary</li><li>Appendixes 1–4</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-03-10","noUsgsAuthors":false,"publicationDate":"2017-03-10","publicationStatus":"PW","scienceBaseUri":"58c3c932e4b0f37a93ee9adb","contributors":{"authors":[{"text":"Moore, Peggy E. 0000-0002-8481-2617 peggy_moore@usgs.gov","orcid":"https://orcid.org/0000-0002-8481-2617","contributorId":3365,"corporation":false,"usgs":true,"family":"Moore","given":"Peggy","email":"peggy_moore@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":681337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Joseph B.","contributorId":175028,"corporation":false,"usgs":false,"family":"Meyer","given":"Joseph","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":681338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chow, Leslie S.","contributorId":187689,"corporation":false,"usgs":false,"family":"Chow","given":"Leslie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":681339,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192069,"text":"70192069 - 2017 - When perception reflects reality: Non-native grass invasion alters small mammal risk landscapes and survival","interactions":[],"lastModifiedDate":"2017-10-19T13:52:07","indexId":"70192069","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"When perception reflects reality: Non-native grass invasion alters small mammal risk landscapes and survival","docAbstract":"<p><span>Modification of habitat structure due to invasive plants can alter the risk landscape for wildlife by, for example, changing the quality or availability of refuge habitat. Whether perceived risk corresponds with actual fitness outcomes, however, remains an important open question. We simultaneously measured how habitat changes due to a common invasive grass (cheatgrass,&nbsp;</span><i>Bromus tectorum</i><span>) affected the perceived risk, habitat selection, and apparent survival of a small mammal, enabling us to assess how well perceived risk influenced important behaviors and reflected actual risk. We measured perceived risk by nocturnal rodents using a giving-up density foraging experiment with paired shrub (safe) and open (risky) foraging trays in cheatgrass and native habitats. We also evaluated microhabitat selection across a cheatgrass gradient as an additional assay of perceived risk and behavioral responses for deer mice (</span><i>Peromyscus maniculatus</i><span>) at two spatial scales of habitat availability. Finally, we used mark-recapture analysis to quantify deer mouse apparent survival across a cheatgrass gradient while accounting for detection probability and other habitat features. In the foraging experiment, shrubs were more important as protective cover in cheatgrass-dominated habitats, suggesting that cheatgrass increased perceived predation risk. Additionally, deer mice avoided cheatgrass and selected shrubs, and marginally avoided native grass, at two spatial scales. Deer mouse apparent survival varied with a cheatgrass–shrub interaction, corresponding with our foraging experiment results, and providing a rare example of a native plant mediating the effects of an invasive plant on wildlife. By synthesizing the results of three individual lines of evidence (foraging behavior, habitat selection, and apparent survival), we provide a rare example of linkage between behavioral responses of animals indicative of perceived predation risk and actual fitness outcomes. Moreover, our results suggest that exotic grass invasions can influence wildlife populations by altering risk landscapes and survival.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2785","usgsCitation":"Ceradnini, J.P., and Chalfoun, A.D., 2017, When perception reflects reality: Non-native grass invasion alters small mammal risk landscapes and survival: Ecology and Evolution, v. 7, no. 6, p. 1823-1835, https://doi.org/10.1002/ece3.2785.","productDescription":"13 p.","startPage":"1823","endPage":"1835","ipdsId":"IP-073821","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2785","text":"Publisher Index Page"},{"id":346981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Thunder Basin National Grassland","volume":"7","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-15","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65ca7","contributors":{"authors":[{"text":"Ceradnini, Joseph P.","contributorId":197675,"corporation":false,"usgs":false,"family":"Ceradnini","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":714059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182825,"text":"70182825 - 2017 - Sources and dispersal of land-based runoff from small Hawaiian drainages to a coral reef: Insights from geochemical signatures","interactions":[],"lastModifiedDate":"2017-03-01T15:03:24","indexId":"70182825","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Sources and dispersal of land-based runoff from small Hawaiian drainages to a coral reef: Insights from geochemical signatures","docAbstract":"Land-based sediment and contaminant runoff is a major threat to coral reefs, and runoff reduction efforts would benefit from knowledge of specific runoff sources. Geochemical signatures of small drainage basins were determined in the fine fraction of soil and sediment, then used in the nearshore region of a coral reef-fringed urban embayment on southeast Oahu, Hawaii, to describe sources and dispersal of land-based runoff. The sedimentary rare earth element ratio (La/Yb)N showed a clear distinction between the two main rock types in the overall contributing area, tholeiitic and alkalic olivine basalt. Based on this geochemical signature it was apparent that the majority of terrigenous sediment on the reef flat originated from geologically old tholeiitic drainages. Sediment from one of five tholeiitic drainages had a distinct geochemical signature, and sediment with this signature was dispersed on the reef flat 2 km west and 150 m offshore of the contributing basin. Sediment and the anthropogenic metals Cd, Pb, and Zn were entrained in runoff from the most heavily urbanized region of the watershed. Although anthropogenic Cd and Zn had localized distributions close to shore, anthropogenic Pb was found associated with fine sediment on the westernmost part of the reef flat and 400 m offshore, illustrating how trade-wind-driven sediment transport can increase the scale of runoff impacts to nearshore communities. Our findings show that sediment geochemical signatures can provide insights about the source and dispersal of land-based runoff in shallow coastal environments. The application of such knowledge to watershed management and habitat remediation efforts can aid in the protection and restoration of runoff-impacted coastal ecosystems worldwide.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2017.02.013","usgsCitation":"Takesue, R.K., and Storlazzi, C.D., 2017, Sources and dispersal of land-based runoff from small Hawaiian drainages to a coral reef: Insights from geochemical signatures: Estuarine, Coastal and Shelf Science, v. 188, p. 69-80, https://doi.org/10.1016/j.ecss.2017.02.013.","productDescription":"12 p.","startPage":"69","endPage":"80","ipdsId":"IP-077727","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2017.02.013","text":"Publisher Index 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,{"id":70182788,"text":"70182788 - 2017 - Preparing future fisheries professionals to make good decisions","interactions":[],"lastModifiedDate":"2018-02-28T14:37:24","indexId":"70182788","displayToPublicDate":"2017-02-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Preparing future fisheries professionals to make good decisions","docAbstract":"<p><span>Future fisheries professionals will face decision-making challenges in an increasingly complex field of fisheries management. Though fisheries students are well trained in the use of the scientific method to understand the natural world, they are rarely exposed to structured decision making (SDM) as part of an undergraduate or graduate education. Specifically, SDM encourages users (e.g., students, managers) to think critically and communicate the problem and then identify specific, measurable objectives as they relate to the problem. Next, users must think critically and creatively about management alternatives that can be used to meet the objectives—there must be more than one alternative or there is no decision to be made. Lastly, the management alternatives are evaluated with regard to how likely they are to succeed in terms of multiple, possibly completing, objectives, such as how stakeholder groups value outcomes of management actions versus monetary cost. We believe that exposure to SDM and its elements is an important part of preparing future fisheries professional to meet the challenges they may face. These challenges include reduced budgets, the growth of potentially competing natural resource interest groups, and stakeholder desire to be involved in management decisions affecting public trust resources, just to name a few.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2016.1199233","usgsCitation":"Colvin, M., and Peterson, J., 2017, Preparing future fisheries professionals to make good decisions: Fisheries, v. 41, no. 8, p. 473-474, https://doi.org/10.1080/03632415.2016.1199233.","productDescription":"2 p.","startPage":"473","endPage":"474","ipdsId":"IP-076018","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":336347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-02","publicationStatus":"PW","scienceBaseUri":"58b69a3de4b01ccd54ff3f75","contributors":{"authors":[{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":171431,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":673760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":673750,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188559,"text":"70188559 - 2017 - Landslide kinematics and their potential controls from hourly to decadal timescales: Insights from integrating ground-based InSAR measurements with structural maps and long-term monitoring data","interactions":[],"lastModifiedDate":"2017-06-15T13:36:22","indexId":"70188559","displayToPublicDate":"2017-02-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Landslide kinematics and their potential controls from hourly to decadal timescales: Insights from integrating ground-based InSAR measurements with structural maps and long-term monitoring data","docAbstract":"<p>Knowledge of kinematics is rudimentary for understanding landslide controls and is increasingly valuable with greater spatiotemporal coverage. However, characterizing landslide-wide kinematics is rare, especially at broadly ranging timescales. We used highly detailed kinematic data obtained using photogrammetry and field mapping during the 1980s and 1990s and our 4.3-day ground-based InSAR survey during 2010 to study kinematics of the large, persistently moving Slumgullion landslide. The landslide was segregated into 11 kinematic elements using the 1980s–1990s data and the InSAR survey revealed most of these elements within a few hours. Averages of InSAR-derived displacement point measures within each element agreed well with higher quality in situ observations; averaging was deemed necessary because adverse look angles for the radar coupled with tree cover on the landslide introduced error in the InSAR results. We found that the landslide moved during 2010 at about half its 1985–1990 speed, but slowing was most pronounced at the landslide head. Gradually decreased precipitation and increased temperature between the periods likely resulted in lower groundwater levels and consequent slowing of the landslide. We used GPS survey results and limit-equilibrium modeling to analyze changing stability of the landslide head from observed thinning and found that its stability increased between the two periods, which would result in its slowing, and the consequent slowing of the entire landslide. Additionally, InSAR results suggested movement of kinematic element boundaries in the head region and our field mapping verified that they moved and changed character, likely because of the long-term increasing head stability. On an hourly basis, InSAR results were near error bounds but suggested landslide acceleration in response to seemingly negligible rainfall. Pore-pressure diffusion modeling suggested that rainfall infiltration affected frictional strength only to shallow depths along the landslide's marginal faults, highlighting their importance in controlling landslide stability. Hourly results also suggested that motion propagated along the 3.9-km length of the active landslide, even following sub-millimeter displacements, while strengthening of landslide shear boundaries during faster movement was likely critical in regulating the landslide's motion. Hence, detailed kinematic characterizations obtained from traditional and emerging approaches helped to reveal that mechanisms controlling landslide movement and evolution over decades also are critical to sub-millimeter movement on a nearly continuous basis.</p>","language":"English","doi":"10.1016/j.geomorph.2017.02.011","usgsCitation":"Schulz, W.H., Coe, J.A., Ricci, P., Smoczyk, G.M., Shurtleff, B.L., and Panosky, J., 2017, Landslide kinematics and their potential controls from hourly to decadal timescales: Insights from integrating ground-based InSAR measurements with structural maps and long-term monitoring data: Geomorphology, v. 285, p. 121-136, https://doi.org/10.1016/j.geomorph.2017.02.011.","productDescription":"16 p. 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59439c94e4b062508e31a9b3","contributors":{"authors":[{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ricci, P.P","contributorId":192964,"corporation":false,"usgs":false,"family":"Ricci","given":"P.P","affiliations":[],"preferred":false,"id":698339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smoczyk, Gregory M. 0000-0002-6591-4060 gsmoczyk@usgs.gov","orcid":"https://orcid.org/0000-0002-6591-4060","contributorId":5239,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Gregory","email":"gsmoczyk@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shurtleff, Brett L","contributorId":192965,"corporation":false,"usgs":false,"family":"Shurtleff","given":"Brett","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":698341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Panosky, J","contributorId":192966,"corporation":false,"usgs":false,"family":"Panosky","given":"J","affiliations":[],"preferred":false,"id":698342,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70182145,"text":"70182145 - 2017 - Early detection monitoring for larval dreissenid mussels: How much plankton sampling is enough?","interactions":[],"lastModifiedDate":"2017-02-27T10:59:16","indexId":"70182145","displayToPublicDate":"2017-02-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Early detection monitoring for larval dreissenid mussels: How much plankton sampling is enough?","docAbstract":"The development of quagga and zebra mussel (dreissenids) monitoring programs in the Pacific Northwest provides a unique opportunity to evaluate a regional invasive species detection effort early in its development. Recent studies suggest that the ecological and economic costs of a dreissenid infestation in the Pacific Northwest of the USA would be significant. Consequently, efforts are underway to monitor for the presence of dreissenids. However, assessments of whether these efforts provide for early detection are lacking. We use information collected from 2012 to 2014 to characterize the development of larval dreissenid monitoring programs in the states of Idaho, Montana, Oregon, and Washington in the context of introduction and establishment risk. We also estimate the effort needed for high-probability detection of rare planktonic taxa in four Columbia and Snake River reservoirs and assess whether the current level of effort provides for early detection. We found that the effort expended to monitor for dreissenid mussels increased substantially from 2012 to 2014, that efforts were distributed across risk categories ranging from high to very low, and that substantial gaps in our knowledge of both introduction and establishment risk exist. The estimated volume of filtered water required to fully census planktonic taxa or to provide high-probability detection of rare taxa was high for the four reservoirs examined. We conclude that the current level of effort expended does not provide for high-probability detection of larval dreissenids or other planktonic taxa when they are rare in these reservoirs. We discuss options to improve early detection capabilities.","language":"English","publisher":"Springer International Publishing","doi":"10.1007/s10661-016-5737-x","usgsCitation":"Counihan, T.D., and Bollens, S., 2017, Early detection monitoring for larval dreissenid mussels: How much plankton sampling is enough?: Environmental Monitoring and Assessment, v. 189, no. 98, p. 1-14, https://doi.org/10.1007/s10661-016-5737-x.","productDescription":"Report: 14 p. ","startPage":"1","endPage":"14","ipdsId":"IP-073726","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":335805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.98095703125,\n              46.9502622421856\n            ],\n            [\n              -122.93701171874999,\n              44.653024159812\n            ],\n            [\n              -115.64208984374999,\n              44.512176171071054\n            ],\n            [\n              -115.653076171875,\n              46.93526088057719\n            ],\n            [\n              -122.98095703125,\n              46.9502622421856\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"189","issue":"98","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-06","publicationStatus":"PW","scienceBaseUri":"58a819b8e4b025c46429afca","contributors":{"authors":[{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":669786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bollens, Stephen M.","contributorId":181850,"corporation":false,"usgs":false,"family":"Bollens","given":"Stephen M.","affiliations":[],"preferred":false,"id":669787,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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