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During July – September of 2008, 2009, and 2010 endangered age-0 juvenile shortnose suckers were sampled from Upper Klamath Lake, OR in a health evaluation that included the measurement of transforming growth factor – beta (TGF-β) expression in spleen in combination with a histopathology assessment. This analysis was performed to determine if the expression of this immuno-regulator could be used as a component of a larger health evaluation intended to identify potential risk-factors that may help to explain why very few of these fish survive to age-1. Potential associations between TGF-β1 expression, histopathological findings, meristic data as well as temporal and spatial data were evaluated using analysis-of-variance. In this analysis, the absence or presence of opercula deformity and hepatic cell necrosis were identified as significant factors in accounting for the variance in TGF-β1 expression observed in age-0 shortnose suckers (n = 122, squared multiple R = 0.989). Location of sample collection and the absence or presence of anchor worms (Lernaea spp.) were identified as significant cofactors. The actual mechanisms involved with these relationships have yet to be determined. The strength, however, of our findings support the concept of using TGF-β1 expression as part of a broader fish health assessment and suggests the potential for using additional immunologic measures in future studies. Specifically, our results indicate that the measure of TGF-β1 expression in age-0 shortnose sucker health assessments can facilitate the process of identifying disease risks that are associated with the documented lack of recruitment into the adult population.

","language":"English","publisher":"Academic Press","publisherLocation":"London, UK","doi":"10.1016/j.fsi.2015.12.019","usgsCitation":"Ottinger, C.A., Densmore, C.L., Robertson, L.S., Iwanowicz, D.D., and Vanderkooi, S.P., 2016, Transforming growth factor-β1 expression in endangered age-0 shortnose suckers (Chasmistes brevirostris) from Upper Klamath Lake, OR relative to histopathology, meristic, spatial, and temporal data: Fish & Shellfish Immunology, v. 49, p. 1-6, https://doi.org/10.1016/j.fsi.2015.12.019.","productDescription":"6 p.","startPage":"1","endPage":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068548","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":471406,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fsi.2015.12.019","text":"Publisher Index 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Subsidence from sinkhole collapse is a common occurrence in areas underlain by water-soluble rocks such as carbonate and evaporite rocks, typical of karst terrain. Almost all 50 States within the United States (excluding Delaware and Rhode Island) have karst areas, with sinkhole damage highest in Florida, Texas, Alabama, Missouri, Kentucky, Tennessee, and Pennsylvania. A conservative estimate of losses to all types of ground subsidence was $125 million per year in 1997. This estimate may now be low, as review of cost reports from the last 15 years indicates that the cost of karst collapses in the United States averages more than $300 million per year. Knowing when a catastrophic event will occur is not possible; however, understanding where such occurrences are likely is possible. The US Geological Survey has developed and maintains national-scale maps of karst areas and areas prone to sinkhole formation. Several States provide additional resources for their citizens; Alabama, Colorado, Florida, Indiana, Iowa, Kentucky, Minnesota, Missouri, Ohio, and Pennsylvania maintain databases of sinkholes or karst features, with Florida, Kentucky, Missouri, and Ohio providing sinkhole reporting mechanisms for the public.

","language":"English","publisher":"Springer","doi":"10.1007/s10040-015-1333-3","usgsCitation":"Kuniansky, E.L., Weary, D.J., and Kaufmann, J.E., 2016, The current status of mapping karst areas and availability of public sinkhole-risk resources in karst terrains of the United States: Hydrogeology Journal, v. 24, no. 3, p. 613-624, https://doi.org/10.1007/s10040-015-1333-3.","productDescription":"12 p.","startPage":"613","endPage":"624","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064145","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":471407,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-015-1333-3","text":"Publisher Index 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dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":582104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaufmann, James E. jkaufmann@usgs.gov","contributorId":2312,"corporation":false,"usgs":true,"family":"Kaufmann","given":"James","email":"jkaufmann@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":582105,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171366,"text":"70171366 - 2016 - Seasonal Distribution and Movements of Atlantic and Shortnose Sturgeon in the Penobscot River Estuary, Maine","interactions":[],"lastModifiedDate":"2016-05-27T13:28:42","indexId":"70171366","displayToPublicDate":"2015-12-15T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal Distribution and Movements of Atlantic and Shortnose Sturgeon in the Penobscot River Estuary, Maine","docAbstract":"

Relatively little is known about the distribution and seasonal movement patterns of shortnose sturgeon Acipenser brevirostrum and Atlantic sturgeon Acipenser oxyrinchus oxyrinchus occupying rivers in the northern part of their range. During 2006 and 2007, 40 shortnose sturgeon (66–113.4 cm fork length [FL]) and 8 Atlantic sturgeon (76.2–166.2 cm FL) were captured in the Penobscot River, Maine, implanted with acoustic transmitters, and monitored using an array of acoustic receivers in the Penobscot River estuary and Penobscot Bay. Shortnose sturgeon were present year round in the estuary and overwintered from fall (mid-October) to spring (mid-April) in the upper estuary. In early spring, all individuals moved downstream to the middle estuary. Over the course of the summer, many individuals moved upstream to approximately 2 km of the downstream-most dam (46 river kilometers [rkm] from the Penobscot River mouth [rkm 0]) by August. Most aggregated into an overwintering site (rkm 36.5) in mid- to late fall. As many as 50% of the tagged shortnose sturgeon moved into and out of the Penobscot River system during 2007, and 83% were subsequently detected by an acoustic array in the Kennebec River, located 150 km from the Penobscot River estuary. Atlantic sturgeon moved into the estuary from the ocean in the summer and concentrated into a 1.5-km reach. All Atlantic sturgeon moved to the ocean by fall, and two of these were detected in the Kennebec River. Although these behaviors are common for Atlantic sturgeon, regular coastal migrations of shortnose sturgeon have not been documented previously in this region. These results have important implications for future dam removals as well as for rangewide and river-specific shortnose sturgeon management.

","language":"English","publisher":"Taylor and Francis","doi":"10.1577/T09-122.1","usgsCitation":"Zydlewski, J.D., Fernandes, S.J., Zydlewski, G.B., Wippelhauser, G.S., and Kinnison, M.T., 2016, Seasonal Distribution and Movements of Atlantic and Shortnose Sturgeon in the Penobscot River Estuary, Maine: Transactions of the American Fisheries Society, v. 139, no. 5, p. 1436-1449, https://doi.org/10.1577/T09-122.1.","productDescription":"13 p.","startPage":"1436","endPage":"1449","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013820","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.521484375,\n 43.866218006556394\n ],\n [\n -69.521484375,\n 45.213003555993964\n ],\n [\n -68.15917968749999,\n 45.213003555993964\n ],\n [\n -68.15917968749999,\n 43.866218006556394\n ],\n [\n -69.521484375,\n 43.866218006556394\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"139","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"57496fb4e4b07e28b665cca4","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":630721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fernandes, Stephen J.","contributorId":169689,"corporation":false,"usgs":false,"family":"Fernandes","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":630727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Gayle B.","contributorId":169688,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":630728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wippelhauser, Gail S.","contributorId":169680,"corporation":false,"usgs":false,"family":"Wippelhauser","given":"Gail","email":"","middleInitial":"S.","affiliations":[{"id":25571,"text":"Maine Department of Marine Resources, Augusta, ME","active":true,"usgs":false}],"preferred":false,"id":630729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":630730,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70162445,"text":"70162445 - 2016 - Soil moisture response to experimentally altered snowmelt timing is mediated by soil, vegetation, and regional climate patterns","interactions":[],"lastModifiedDate":"2016-09-21T08:58:52","indexId":"70162445","displayToPublicDate":"2015-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Soil moisture response to experimentally altered snowmelt timing is mediated by soil, vegetation, and regional climate patterns","docAbstract":"

Soil moisture in seasonally snow-covered environments fluctuates seasonally between wet and dry states. Climate warming is advancing the onset of spring snowmelt and may lengthen the summer-dry state and ultimately cause drier soil conditions. The magnitude of either response may vary across elevation and vegetation types. We situated our study at the lower boundary of persistent snow cover and the upper boundary of subalpine forest with paired treatment blocks in aspen forest and open meadow. In treatments plots, we advanced snowmelt timing by an average of 14 days by adding dust to the snow surface during spring melt. We specifically wanted to know whether early snowmelt would increase the duration of the summer-dry period and cause soils to be drier in the early-snowmelt treatments compared with control plots. We found no difference in the onset of the summer-dry state and no significant differences in soil moisture between treatments. To better understand the reasons soil moisture did not respond to early snowmelt as expected, we examined the mediating influences of soil organic matter, texture, temperature, and the presence or absence of forest. In our study, late-spring precipitation may have moderated the effects of early snowmelt on soil moisture. We conclude that landscape characteristics, including soil, vegetation, and regional weather patterns, may supersede the effects of snowmelt timing in determining growing season soil moisture, and efforts to anticipate the impacts of climate change on seasonally snow-covered ecosystems should take into account these mediating factors. 

","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/eco.1697","usgsCitation":"Conner, L.G., Gill, R.A., and Belnap, J., 2016, Soil moisture response to experimentally altered snowmelt timing is mediated by soil, vegetation, and regional climate patterns: Ecohydrology, v. 9, no. 6, p. 1006-1016, https://doi.org/10.1002/eco.1697.","productDescription":"11 p.","startPage":"1006","endPage":"1016","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066535","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":314784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Fairview Canyon, Wasatch Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.25,\n 39.6\n ],\n [\n -111.25,\n 39.7\n ],\n [\n -111.35,\n 39.7\n ],\n [\n -111.35,\n 39.6\n ],\n [\n -111.25,\n 39.6\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-15","publicationStatus":"PW","scienceBaseUri":"56a7556be4b0b28f1184d883","contributors":{"authors":[{"text":"Conner, Lafe G","contributorId":152512,"corporation":false,"usgs":false,"family":"Conner","given":"Lafe","email":"","middleInitial":"G","affiliations":[{"id":18936,"text":"Department of Biology, Brigham Young University, 4102 LSB, Provo, UT 84602, USA","active":true,"usgs":false}],"preferred":false,"id":589592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, Richard A.","contributorId":85508,"corporation":false,"usgs":true,"family":"Gill","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":589593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":589591,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70164524,"text":"70164524 - 2016 - Radiometric dating of marine-influenced coal using Re–Os geochronology","interactions":[],"lastModifiedDate":"2016-02-09T13:23:41","indexId":"70164524","displayToPublicDate":"2015-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Radiometric dating of marine-influenced coal using Re–Os geochronology","docAbstract":"
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Coal deposits are integral to understanding the structural evolution and thermal history of sedimentary basins and correlating contemporeous estuarine and fluvial delatic strata with marine sections. While marine shales may readily lend themselves to Re–Os dating due to the dominance of hydrogenous Re and Os, the lack of a chronometer for near-shore sedimentary environments hampers basinwide correlations in absolute time. Here, we employ the Re–Os geochronometer, along with total organic carbon (TOC) and Rock–Eval data, to determine the timing and conditions of a marine incursion at the top of the Matewan coal bed, Kanawha Formation, Pottsville Group, West Virginia, USA. The observed range for hydrogen index (HI: 267–290 mg hydrocarbon/gram total organic carbon) for these coal samples suggests dominance of aliphatic hydrocarbons with low carbon (<C19) chain length. Average Re (107.6±16.4 ng/g) and Os (0.52±0.09 ng/g) concentrations of the marine-influenced Matewan coal are higher by few orders of magnitude than published data for terrestrial coal. A Re–Os isochron for the Matewan coal provides an age of 325±14 Ma (Model 3; MSWD = 12; n=19; 2σ ). This is the first Re–Os age derived from coal samples; the age overlaps a new composite Re–Os age of 317±2 Ma for the immediately overlying Betsie Shale Member.

\n

External precision for replicate Os analyses carried out for several Matewan coal samples shows a positive correlation with their HI. The HI, which is low in terrestrial organic matter, reflects the degree of marine influence. Thus, samples with the most profound marine influence also have the best analytical reproducibility. Equilibration of Os isotopes with seawater under marine conditions overwhelms variability inherited from terrestrial plant debris, decreasing scatter on the isochron. The 187Re/188Os ratios of the Matewan coal (∼3300–5135) are higher than most of those previously published for Phanerozoic black shale (mostly <2000). Mass balance calculations based on Re/TOC and Os/TOC ratios for the Matewan coal indicate that both Re and Os are primarily marine in origin, and their high 187Re/188Os ratios confirm efficient removal of both elements from a sulfidic water column into the coal. We show that Re–Os geochronology of marine-influenced coal can be a viable tool for constraining depositional ages.

\n

 

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Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of climatic variation on trout: A global synthesis and path forward","docAbstract":"

Despite increasing concern that climate change may negatively impact trout—a globally distributed group of fish with major economic, ecological, and cultural value—a synthetic assessment of empirical data quantifying relationships between climatic variation and trout ecology does not exist. We conducted a systematic review to describe how temporal variation in temperature and streamflow influences trout ecology in freshwater ecosystems. Few studies (n = 42) have quantified relationships between temperature or streamflow and trout demography, growth, or phenology, and nearly all estimates (96 %) were for Salvelinus fontinalis and Salmo trutta. Only seven studies used temporal data to quantify climate-driven changes in trout ecology. Results from these studies were beset with limitations that prohibited quantitatively rigorous meta-analysis, a concerning inadequacy given major investment in trout conservation and management worldwide. Nevertheless, consistent patterns emerged from our synthesis, particularly a positive effect of summer streamflow on trout demography and growth; 64 % of estimates were positive and significant across studies, age classes, species, and locations, highlighting that climate-induced changes in hydrology may have numerous consequences for trout. To a lesser degree, summer and fall temperatures were negatively related to population demography (51 and 53 % of estimates, respectively), but temperature was rarely related to growth. To address limitations and uncertainties, we recommend: (1) systematically improving data collection, description, and sharing; (2) appropriately integrating climate impacts with other intrinsic and extrinsic drivers over the entire lifecycle; (3) describing indirect consequences of climate change; and (4) acknowledging and describing intrinsic resiliency.

","language":"English","publisher":"Chapman & Hall","publisherLocation":"Andover, UK","doi":"10.1007/s11160-015-9414-x","usgsCitation":"Kovach, R., Muhlfeld, C.C., Al-Chokhachy, R.K., Dunham, J.B., Letcher, B., and Kershner, J.L., 2016, Impacts of climatic variation on trout: A global synthesis and path forward: Reviews in Fish Biology and Fisheries, v. 26, no. 2, p. 135-151, https://doi.org/10.1007/s11160-015-9414-x.","productDescription":"17 p.","startPage":"135","endPage":"151","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064125","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":321217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-10","publicationStatus":"PW","scienceBaseUri":"5736fad0e4b0dae0d5e03dde","contributors":{"authors":[{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":629259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":629260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":629261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"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":629262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Letcher, Benjamin 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":169305,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":629263,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":629264,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70160054,"text":"70160054 - 2016 - A systematic survey of the integration of animal behavior into conservation","interactions":[],"lastModifiedDate":"2016-07-15T14:44:05","indexId":"70160054","displayToPublicDate":"2015-12-10T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"A systematic survey of the integration of animal behavior into conservation","docAbstract":"

The role of behavioral ecology in improving wildlife conservation and management has been the subject of much recent debate. We aim to answer two foundational questions about the current use of behavioral knowledge in conservation: 1. To what extent is behavioral knowledge used in wildlife conservation and management? 2. How does the use of behavior differ among conservation fields in both frequency and types of use? To answer these questions, we searched the literature for intersections between key fields of animal behavior and conservation biology and created a systematic ‘heat’ map to visualize relative efforts. Our analysis challenges previous suggestions that there is little association between the fields of behavioral ecology and conservation and reveals tremendous variation in the use of different behaviors in conservation. For instance, some behaviors, such as foraging and dispersal, are commonly considered, but other behaviors such as learning, social or anti-predatory behaviors are hardly considered. Our analysis suggests that in many cases awareness of the importance of behavior does not translate into applicable management tools. We recommend that researchers should focus on developing research in underutilized intersections of behavior and conservation themes for which preliminary work show a potential for improving conservation and management, on translating behavioral theory into applicable and testable predictions, and on creating systematic reviews to summarize the behavioral evidence within the behavior-conservation intersections for which many studies exist.

","language":"English","publisher":"Wiley","doi":"10.1111/cobi.12654","usgsCitation":"Berger-Tal, O., Blumstein, D.T., Carroll, S., Fisher, R.N., Mesnick, S.L., Owen, M.A., Saltz, D., St. Claire, C.C., and Swaisgood, R.R., 2016, A systematic survey of the integration of animal behavior into conservation: Conservation Biology, v. 30, no. 4, p. 744-753, https://doi.org/10.1111/cobi.12654.","productDescription":"10 p.","startPage":"744","endPage":"753","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066474","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.12654","text":"Publisher Index Page"},{"id":312096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-03","publicationStatus":"PW","scienceBaseUri":"566aa238e4b09cfe53ca44d7","contributors":{"authors":[{"text":"Berger-Tal, Oded","contributorId":150452,"corporation":false,"usgs":false,"family":"Berger-Tal","given":"Oded","email":"","affiliations":[{"id":18023,"text":"Ecology and Evolutionary Biology, UCLA","active":true,"usgs":false}],"preferred":false,"id":581724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blumstein, Daniel T.","contributorId":150453,"corporation":false,"usgs":false,"family":"Blumstein","given":"Daniel","email":"","middleInitial":"T.","affiliations":[{"id":18023,"text":"Ecology and Evolutionary Biology, UCLA","active":true,"usgs":false}],"preferred":false,"id":581725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carroll, Scott","contributorId":150454,"corporation":false,"usgs":false,"family":"Carroll","given":"Scott","email":"","affiliations":[{"id":18024,"text":"Entomology Department, UC Davis","active":true,"usgs":false}],"preferred":false,"id":581726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":581723,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mesnick, Sarah L.","contributorId":150455,"corporation":false,"usgs":false,"family":"Mesnick","given":"Sarah","email":"","middleInitial":"L.","affiliations":[{"id":18025,"text":"Southwest Fisheries Science Center, NMFS, La Jolla","active":true,"usgs":false}],"preferred":false,"id":581727,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Owen, Megan A.","contributorId":138918,"corporation":false,"usgs":false,"family":"Owen","given":"Megan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":581728,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Saltz, David","contributorId":150456,"corporation":false,"usgs":false,"family":"Saltz","given":"David","email":"","affiliations":[{"id":18026,"text":"Mitrani Dep't of Desert Ecology, Ben-Gurion University of the Negev, Israel","active":true,"usgs":false}],"preferred":false,"id":581729,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"St. Claire, Colleen Cassady","contributorId":150457,"corporation":false,"usgs":false,"family":"St. Claire","given":"Colleen","email":"","middleInitial":"Cassady","affiliations":[{"id":18027,"text":"Biology Dep't, U of Alberta, Edmonton, Canada","active":true,"usgs":false}],"preferred":false,"id":581730,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swaisgood, Ronald R.","contributorId":69490,"corporation":false,"usgs":false,"family":"Swaisgood","given":"Ronald","email":"","middleInitial":"R.","affiliations":[{"id":12762,"text":"San Diego Zoo Institure for Conservation Research","active":true,"usgs":false}],"preferred":false,"id":581731,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70160057,"text":"70160057 - 2016 - Human activities and climate variability drive fast-paced change across the world's estuarine-coastal ecosystems","interactions":[],"lastModifiedDate":"2016-02-01T13:29:58","indexId":"70160057","displayToPublicDate":"2015-12-10T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Human activities and climate variability drive fast-paced change across the world's estuarine-coastal ecosystems","docAbstract":"

Time series of environmental measurements are essential for detecting, measuring and understanding changes in the Earth system and its biological communities. Observational series have accumulated over the past 2–5 decades from measurements across the world's estuaries, bays, lagoons, inland seas and shelf waters influenced by runoff. We synthesize information contained in these time series to develop a global view of changes occurring in marine systems influenced by connectivity to land. Our review is organized around four themes: (i) human activities as drivers of change; (ii) variability of the climate system as a driver of change; (iii) successes, disappointments and challenges of managing change at the sea-land interface; and (iv) discoveries made from observations over time. Multidecadal time series reveal that many of the world's estuarine–coastal ecosystems are in a continuing state of change, and the pace of change is faster than we could have imagined a decade ago. Some have been transformed into novel ecosystems with habitats, biogeochemistry and biological communities outside the natural range of variability. Change takes many forms including linear and nonlinear trends, abrupt state changes and oscillations. The challenge of managing change is daunting in the coastal zone where diverse human pressures are concentrated and intersect with different responses to climate variability over land and over ocean basins. The pace of change in estuarine–coastal ecosystems will likely accelerate as the human population and economies continue to grow and as global climate change accelerates. Wise stewardship of the resources upon which we depend is critically dependent upon a continuing flow of information from observations to measure, understand and anticipate future changes along the world's coastlines.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13059","usgsCitation":"Cloern, J.E., Abreu, P.C., Carstensen, J., Chauvaud, L., Elmgren, R., Grall, J., Greening, H., Johansson, J.O., Kahru, M., Sherwood, E.T., Xu, J., and Yin, K., 2016, Human activities and climate variability drive fast-paced change across the world's estuarine-coastal ecosystems: Global Change Biology, v. 22, no. 2, p. 513-529, https://doi.org/10.1111/gcb.13059.","productDescription":"17 p.","startPage":"513","endPage":"529","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064246","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":471410,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.13059","text":"Publisher Index Page"},{"id":312094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-20","publicationStatus":"PW","scienceBaseUri":"566aa23be4b09cfe53ca44db","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":581740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abreu, Paulo C.","contributorId":150467,"corporation":false,"usgs":false,"family":"Abreu","given":"Paulo","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":581748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carstensen, Jacob","contributorId":79367,"corporation":false,"usgs":false,"family":"Carstensen","given":"Jacob","email":"","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":581749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chauvaud, Laurent","contributorId":72982,"corporation":false,"usgs":true,"family":"Chauvaud","given":"Laurent","email":"","affiliations":[],"preferred":false,"id":581750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elmgren, Ragnar","contributorId":89008,"corporation":false,"usgs":true,"family":"Elmgren","given":"Ragnar","email":"","affiliations":[],"preferred":false,"id":581751,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grall, Jacques","contributorId":150468,"corporation":false,"usgs":false,"family":"Grall","given":"Jacques","email":"","affiliations":[],"preferred":false,"id":581752,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Greening, Holly","contributorId":64299,"corporation":false,"usgs":true,"family":"Greening","given":"Holly","email":"","affiliations":[],"preferred":false,"id":581753,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johansson, John O.R.","contributorId":150470,"corporation":false,"usgs":false,"family":"Johansson","given":"John","email":"","middleInitial":"O.R.","affiliations":[],"preferred":false,"id":581754,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kahru, Mati","contributorId":150471,"corporation":false,"usgs":false,"family":"Kahru","given":"Mati","email":"","affiliations":[],"preferred":false,"id":581755,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sherwood, Edward T. 0000-0001-5330-302X","orcid":"https://orcid.org/0000-0001-5330-302X","contributorId":150472,"corporation":false,"usgs":false,"family":"Sherwood","given":"Edward","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":581756,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Xu, J.","contributorId":25324,"corporation":false,"usgs":true,"family":"Xu","given":"J.","affiliations":[],"preferred":false,"id":581757,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Yin, Kedong","contributorId":94879,"corporation":false,"usgs":true,"family":"Yin","given":"Kedong","email":"","affiliations":[],"preferred":false,"id":581758,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70160011,"text":"70160011 - 2016 - High and dry: high elevations disproportionately exposed to regional climate change in Mediterranean-climate landscapes","interactions":[],"lastModifiedDate":"2016-04-28T12:59:29","indexId":"70160011","displayToPublicDate":"2015-12-08T15:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"High and dry: high elevations disproportionately exposed to regional climate change in Mediterranean-climate landscapes","docAbstract":"
\n

Context

\n

Predicting climate-driven species’ range shifts depends substantially on species’ exposure to climate change. Mountain landscapes contain a wide range of topoclimates and soil characteristics that are thought to mediate range shifts and buffer species’ exposure. Quantifying fine-scale patterns of exposure across mountainous terrain is a key step in understanding vulnerability of species to regional climate change.

\n
\n
\n

Objectives

\n

We demonstrated a transferable, flexible approach for mapping climate change exposure in a moisture-limited, mountainous California landscape across 4 climate change projections under phase 5 of the Coupled Model Intercomparison Project (CMIP5) for mid-(2040–2069) and end-of-century (2070–2099).

\n
\n
\n

Methods

\n

We produced a 149-year dataset (1951–2099) of modeled climatic water deficit (CWD), which is strongly associated with plant distributions, at 30-m resolution to map climate change exposure in the Tehachapi Mountains, California, USA. We defined climate change exposure in terms of departure from the 1951–1980 mean and historical range of variability in CWD in individual years and 3-year moving windows.

\n
\n
\n

Results

\n

Climate change exposure was generally greatest at high elevations across all future projections, though we encountered moderate topographic buffering on poleward-facing slopes. Historically dry lowlands demonstrated the least exposure to climate change.

\n
\n
\n

Conclusions

\n

In moisture-limited, Mediterranean-climate landscapes, high elevations may experience the greatest exposure to climate change in the 21st century. High elevation species may thus be especially vulnerable to continued climate change as habitats shrink and historically energy-limited locations become increasingly moisture-limited in the future.

\n
","language":"English","publisher":"Springer","doi":"10.1007/s10980-015-0318-x","usgsCitation":"McCullough, I.M., Davis, F.W., Dingman, J.R., Flint, L.E., Flint, A.L., Serra-Diaz, J.M., Syphard, A.D., Moritz, M., Hannah, L., and Franklin, J., 2016, High and dry: high elevations disproportionately exposed to regional climate change in Mediterranean-climate landscapes: Landscape Ecology, v. 31, no. 5, p. 1063-1075, https://doi.org/10.1007/s10980-015-0318-x.","productDescription":"13 p.","startPage":"1063","endPage":"1075","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070738","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471411,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/7bk1x7rp","text":"External Repository"},{"id":312043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"5","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-30","publicationStatus":"PW","scienceBaseUri":"5667ff3be4b06a3ea36c8e0e","contributors":{"authors":[{"text":"McCullough, Ian M.","contributorId":150407,"corporation":false,"usgs":false,"family":"McCullough","given":"Ian","email":"","middleInitial":"M.","affiliations":[{"id":13549,"text":"UC Santa Barbara Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":581551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Frank W.","contributorId":150406,"corporation":false,"usgs":false,"family":"Davis","given":"Frank","email":"","middleInitial":"W.","affiliations":[{"id":18015,"text":"Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":581550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dingman, John R.","contributorId":150408,"corporation":false,"usgs":false,"family":"Dingman","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":18016,"text":"CA Air Resources Board","active":true,"usgs":false}],"preferred":false,"id":581552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":581549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":581553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Serra-Diaz, Josep M.","contributorId":149950,"corporation":false,"usgs":false,"family":"Serra-Diaz","given":"Josep","email":"","middleInitial":"M.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":581554,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":581555,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moritz, Max A.","contributorId":57586,"corporation":false,"usgs":false,"family":"Moritz","given":"Max A.","affiliations":[],"preferred":false,"id":581556,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hannah, Lee","contributorId":147796,"corporation":false,"usgs":false,"family":"Hannah","given":"Lee","affiliations":[{"id":16938,"text":"Conservation International","active":true,"usgs":false}],"preferred":false,"id":581557,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Franklin, Janet","contributorId":90833,"corporation":false,"usgs":true,"family":"Franklin","given":"Janet","affiliations":[],"preferred":false,"id":581558,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70160004,"text":"70160004 - 2016 - Comparative demographics of a Hawaiian forest bird community","interactions":[],"lastModifiedDate":"2018-01-04T12:40:53","indexId":"70160004","displayToPublicDate":"2015-12-08T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Comparative demographics of a Hawaiian forest bird community","docAbstract":"

Estimates of demographic parameters such as survival and reproductive success are critical for guiding management efforts focused on species of conservation concern. Unfortunately, reliable demographic parameters are difficult to obtain for any species, but especially for rare or endangered species. Here we derived estimates of adult survival and recruitment in a community of Hawaiian forest birds, including eight native species (of which three are endangered) and two introduced species at Hakalau Forest National Wildlife Refuge, Hawaiʻi. Integrated population models (IPM) were used to link mark–recapture data (1994–1999) with long-term population surveys (1987–2008). To our knowledge, this is the first time that IPM have been used to characterize demographic parameters of a whole avian community, and provides important insights into the life history strategies of the community. The demographic data were used to test two hypotheses: 1) arthropod specialists, such as the ‘Akiapōlā‘au Hemignathus munroi, are ‘slower’ species characterized by a greater relative contribution of adult survival to population growth, i.e. lower fecundity and increased adult survival; and 2) a species’ susceptibility to environmental change, as reflected by its conservation status, can be predicted by its life history traits. We found that all species were characterized by a similar population growth rate around one, independently of conservation status, origin (native vs non-native), feeding guild, or life history strategy (as measured by ‘slowness’), which suggested that the community had reached an equilibrium. However, such stable dynamics were achieved differently across feeding guilds, as demonstrated by a significant increase of adult survival and a significant decrease of recruitment along a gradient of increased insectivory, in support of hypothesis 1. Supporting our second hypothesis, we found that slower species were more vulnerable species at the global scale than faster ones. The possible causes and conservation implications of these patterns are discussed.

","language":"English","publisher":"Wiley-Blackwell","doi":"10.1111/jav.00756","usgsCitation":"Guillaumet, A., Woodworth, B., Camp, R., and Paxton, E., 2016, Comparative demographics of a Hawaiian forest bird community: Journal of Avian Biology, v. 47, no. 2, p. 185-196, https://doi.org/10.1111/jav.00756.","productDescription":"12 p.","startPage":"185","endPage":"196","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068685","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":312034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.46630859375,\n 21.69826549685252\n ],\n [\n -158.04931640625,\n 21.238182425982313\n ],\n [\n -156.016845703125,\n 20.004322295998723\n ],\n [\n -156.236572265625,\n 19.590844152960933\n ],\n [\n -155.797119140625,\n 18.760712758499565\n ],\n [\n -154.698486328125,\n 19.46659223220761\n ],\n [\n -155.819091796875,\n 20.80747157680652\n ],\n [\n -157.1484375,\n 21.493963563064455\n ],\n [\n -159.697265625,\n 22.411028521558706\n ],\n [\n -160.59814453125,\n 21.800308050972603\n ],\n [\n -160.46630859375,\n 21.69826549685252\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-22","publicationStatus":"PW","scienceBaseUri":"5667ff38e4b06a3ea36c8e06","chorus":{"doi":"10.1111/jav.00756","url":"http://dx.doi.org/10.1111/jav.00756","publisher":"Wiley-Blackwell","authors":"Guillaumet Alban, Woodworth Bethany L., Camp Richard J., Paxton Eben H.","journalName":"Journal of Avian Biology","publicationDate":"11/22/2015","auditedOn":"3/28/2016"},"contributors":{"authors":[{"text":"Guillaumet, Alban","contributorId":150397,"corporation":false,"usgs":false,"family":"Guillaumet","given":"Alban","email":"","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":581523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodworth, Bethany L.","contributorId":66797,"corporation":false,"usgs":true,"family":"Woodworth","given":"Bethany L.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":581524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":581525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":581522,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160002,"text":"70160002 - 2016 - Evidence of estrogenic endocrine disruption in smallmouth and largemouth bass inhabiting Northeast U.S. National Wildlife Refuge waters: A reconnaissance study","interactions":[],"lastModifiedDate":"2018-08-07T12:44:08","indexId":"70160002","displayToPublicDate":"2015-12-08T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of estrogenic endocrine disruption in smallmouth and largemouth bass inhabiting Northeast U.S. National Wildlife Refuge waters: A reconnaissance study","docAbstract":"

Intersex as the manifestation of testicular oocytes (TO) in male gonochoristic fishes has been used as an indicator of estrogenic exposure. Here we evaluated largemouth bass (Micropterus salmoides) or smallmouth bass (Micropterus dolomieu) form 19 National Wildlife Refuges (NWRs) in the Northeast U.S. inhabiting waters on or near NWR lands for evidence of estrogenic endocrine disruption. Waterbodies sampled included rivers, lakes, impoundments, ponds, and reservoirs. Here we focus on evidence of endocrine disruption in male bass evidenced by gonad histopathology including intersex or abnormal plasma vitellogenin (Vtg) concentrations. During the fall seasons of 2008–2010, we collected male smallmouth bass (n=118) from 12 sites and largemouth bass (n=173) from 27 sites. Intersex in male smallmouth bass was observed at all sites and ranged from 60% to 100%; in male largemouth bass the range was 0–100%. Estrogenicity, as measured using a bioluminescent yeast reporter, was detected above the probable no effects concentration (0.73 ng/L) in ambient water samples from 79% of the NWR sites. Additionally, the presence of androgen receptor and glucocorticoid receptor ligands were noted as measured via novel nuclear receptor translocation assays. Mean plasma Vtg was elevated (>0.2 mg/ml) in male smallmouth bass at four sites and in male largemouth bass at one site. This is the first reconnaissance survey of this scope conducted on US National Wildlife Refuges. The baseline data collected here provide a necessary benchmark for future monitoring and justify more comprehensive NWR-specific studies.

","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecoenv.2015.09.035","usgsCitation":"Iwanowicz, L., Blazer, V., Pinkney, A., Guy, C., Major, A., Munney, K., Mierzykowski, S., Lingenfelser, S., Secord, A., Patnode, K., Kubiak, T., Stern, C., Hahn, C.M., Iwanowicz, D.D., Walsh, H.L., and Sperry, A.J., 2016, Evidence of estrogenic endocrine disruption in smallmouth and largemouth bass inhabiting Northeast U.S. National Wildlife Refuge waters: A reconnaissance study: Ecotoxicology and Environmental Safety, v. 124, p. 50-59, https://doi.org/10.1016/j.ecoenv.2015.09.035.","productDescription":"10 p.","startPage":"50","endPage":"59","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059732","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":312035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Ohio, Pennsylvannia, Vermont, Virginia, West Virginia","otherGeospatial":"Assabet River, Back Bay, Blackwater, Cherry Valley, Erie, Great Bay, Great Meadows, Great Swamp, John Heinzat Tinicum, Mason Neck, Missisquoi, Montezuma, Moosehorn, Ohio River Islands, Patuxent, Rappahannock, Sunkhaze, Umbagog, Wallkill","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.103515625,\n 45.321254361171476\n ],\n [\n -67.43408203124999,\n 45.583289756006316\n ],\n [\n -67.39013671875,\n 45.321254361171476\n ],\n [\n -67.1044921875,\n 45.182036837015886\n ],\n [\n -66.8408203125,\n 44.66865287227321\n ],\n [\n -68.48876953125,\n 44.10336537791152\n ],\n [\n -69.76318359375,\n 43.67581809328344\n ],\n [\n -70.46630859375,\n 43.42100882994726\n ],\n [\n -70.7080078125,\n 42.553080288955826\n ],\n [\n -71.103515625,\n 42.04929263868686\n ],\n [\n -71.8505859375,\n 41.27780646738183\n ],\n [\n -74.02587890625,\n 40.58058466412764\n ],\n [\n -75.5419921875,\n 39.436192999314095\n ],\n [\n -75.95947265625,\n 38.993572058209466\n ],\n [\n -75.87158203125,\n 37.996162679728116\n ],\n [\n -75.65185546874999,\n 36.82687474287728\n ],\n [\n -75.89355468749999,\n 36.38591277287651\n ],\n [\n -77.36572265625,\n 36.56260003738548\n ],\n [\n -79.0576171875,\n 38.993572058209466\n ],\n [\n -80.79345703125,\n 39.67337039176558\n ],\n [\n -81.49658203125,\n 40.27952566881291\n ],\n [\n -81.32080078125,\n 41.492120839687786\n ],\n [\n -80.61767578124999,\n 42.04929263868686\n ],\n [\n -77.49755859375,\n 43.34116005412307\n ],\n [\n -76.13525390624999,\n 43.50075243569041\n ],\n [\n -73.32275390625,\n 45.213003555993964\n ],\n [\n -71.103515625,\n 45.321254361171476\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5667ff39e4b06a3ea36c8e0a","contributors":{"authors":[{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":150383,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R. 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0000-0002-4815-3730 asperry@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-3730","contributorId":5872,"corporation":false,"usgs":true,"family":"Sperry","given":"Adam","email":"asperry@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":581512,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70174956,"text":"70174956 - 2016 - A global planktic foraminifer census data set for the Pliocene ocean","interactions":[],"lastModifiedDate":"2016-07-22T16:07:40","indexId":"70174956","displayToPublicDate":"2015-12-08T05:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"A global planktic foraminifer census data set for the Pliocene ocean","docAbstract":"

This article presents data derived by the USGS Pliocene Research, Interpretation and Synoptic Mapping (PRISM) Project. PRISM has generated planktic foraminifer census data from core sites and outcrops around the globe since 1988. These data form the basis of a number of paleoceanographic reconstructions focused on the mid-Piacenzian Warm Period (3.264 to 3.025 million years ago). Data are presented as counts of individuals within 64 taxonomic categories for each locality. We describe sample acquisition and processing, age dating, taxonomy and archival storage of material. These data provide a unique, stratigraphically focused opportunity to assess the effects of global warming on marine plankton.

","language":"English","publisher":"Macmillan Publishers Limited","doi":"10.1038/sdata.2015.76","usgsCitation":"Dowsett, H.J., Robinson, M.M., and Foley, K.M., 2016, A global planktic foraminifer census data set for the Pliocene ocean: Scientific Data, v. 2, Article number: 150076 ; 6 p., https://doi.org/10.1038/sdata.2015.76.","productDescription":"Article number: 150076 ; 6 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069639","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":471412,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2015.76","text":"Publisher Index Page"},{"id":325566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-08","publicationStatus":"PW","scienceBaseUri":"5793443fe4b0eb1ce79e8bd0","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":643336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":643337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":643338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160216,"text":"70160216 - 2016 - Species and tissue type regulate long-term decomposition of brackish marsh plants grown under elevated CO2 conditions","interactions":[],"lastModifiedDate":"2021-08-24T14:59:45.425641","indexId":"70160216","displayToPublicDate":"2015-12-08T00:00:00","publicationYear":"2016","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}},"displayTitle":"Species and tissue type regulate long-term decomposition of brackish marsh plants grown under elevated CO2 conditions","title":"Species and tissue type regulate long-term decomposition of brackish marsh plants grown under elevated CO2 conditions","docAbstract":"

Organic matter accumulation, the net effect of plant production and decomposition, contributes to vertical soil accretion in coastal wetlands, thereby playing a key role in whether they keep pace with sea-level rise. Any factor that affects decomposition may affect wetland accretion, including atmospheric CO2 concentrations. Higher CO2 can influence decomposition rates by altering plant tissue chemistry or by causing shifts in plant species composition or biomass partitioning. A combined greenhouse-field experiment examined how elevated CO2 affected plant tissue chemistry and subsequent decomposition of above- and belowground tissues of two common brackish marsh species, Schoenoplectus americanus (C3) and Spartina patens (C4). Both species were grown in monoculture and in mixture under ambient (350-385 μL L-1) or elevated (ambient + 300 μL L-1) atmospheric CO2 conditions, with all other growth conditions held constant, for one growing season. Above- and belowground tissues produced under these treatments were decomposed under ambient field conditions in a brackish marsh in the Mississippi River Delta, USA. Elevated CO2 significantly reduced nitrogen content of S. americanus, but not sufficiently to affect subsequent decomposition. Instead, long-term decomposition (percent mass remaining after 280 d) was controlled by species composition and tissue type. Shoots of S. patens had more mass remaining (41 ± 2%) than those of S. americanus (12 ± 2 %). Belowground material decomposed more slowly than that placed aboveground (62 ± 1% vs. 23 ± 3% mass remaining), but rates belowground did not differ between species. Increases in atmospheric CO2concentration will likely have a greater effect on overall decomposition in this brackish marsh community through shifts in species dominance or biomass allocation than through effects on tissue chemistry. Consequent changes in organic matter accumulation may alter marsh capacity to accommodate sea-level rise through vertical accretion.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2015.11.033","usgsCitation":"Jones, J.A., Cherry, J., and McKee, K.L., 2016, Species and tissue type regulate long-term decomposition of brackish marsh plants grown under elevated CO2 conditions: Estuarine, Coastal and Shelf Science, v. 169, p. 38-45, https://doi.org/10.1016/j.ecss.2015.11.033.","productDescription":"8 p.","startPage":"38","endPage":"45","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064638","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":312238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Big Branch Marsh National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90,\n 30.24\n ],\n [\n -90,\n 30.3\n ],\n [\n -89.9,\n 30.3\n ],\n [\n -89.9,\n 30.24\n ],\n [\n -90,\n 30.24\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"169","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566ff657e4b09cfe53ca79ca","contributors":{"authors":[{"text":"Jones, Joshua A","contributorId":150553,"corporation":false,"usgs":false,"family":"Jones","given":"Joshua","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":582099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cherry, Julia A","contributorId":150554,"corporation":false,"usgs":false,"family":"Cherry","given":"Julia A","affiliations":[{"id":33913,"text":"Univ. of Alabama, Tuscaloosa, AL","active":true,"usgs":false}],"preferred":false,"id":582100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKee, Karen L. 0000-0001-7042-670X mckeek@usgs.gov","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":704,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"mckeek@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":582054,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160542,"text":"70160542 - 2016 - Non-linear resonant coupling of tsunami edge waves using stochastic earthquake source models","interactions":[],"lastModifiedDate":"2016-12-14T12:43:35","indexId":"70160542","displayToPublicDate":"2015-12-06T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Non-linear resonant coupling of tsunami edge waves using stochastic earthquake source models","docAbstract":"

Non-linear resonant coupling of edge waves can occur with tsunamis generated by large-magnitude subduction zone earthquakes. Earthquake rupture zones that straddle beneath the coastline of continental margins are particularly efficient at generating tsunami edge waves. Using a stochastic model for earthquake slip, it is shown that a wide range of edge-wave modes and wavenumbers can be excited, depending on the variability of slip. If two modes are present that satisfy resonance conditions, then a third mode can gradually increase in amplitude over time, even if the earthquake did not originally excite that edge-wave mode. These three edge waves form a resonant triad that can cause unexpected variations in tsunami amplitude long after the first arrival. An M ∼ 9, 1100 km-long continental subduction zone earthquake is considered as a test case. For the least-variable slip examined involving a Gaussian random variable, the dominant resonant triad includes a high-amplitude fundamental mode wave with wavenumber associated with the along-strike dimension of rupture. The two other waves that make up this triad include subharmonic waves, one of fundamental mode and the other of mode 2 or 3. For the most variable slip examined involving a Cauchy-distributed random variable, the dominant triads involve higher wavenumbers and modes because subevents, rather than the overall rupture dimension, control the excitation of edge waves. Calculation of the resonant period for energy transfer determines which cases resonant coupling may be instrumentally observed. For low-mode triads, the maximum transfer of energy occurs approximately 20–30 wave periods after the first arrival and thus may be observed prior to the tsunami coda being completely attenuated. Therefore, under certain circumstances the necessary ingredients for resonant coupling of tsunami edge waves exist, indicating that resonant triads may be observable and implicated in late, large-amplitude tsunami arrivals.

","language":"English","publisher":"Blackwell Science","doi":"10.1093/gji/ggv489","usgsCitation":"Geist, E.L., 2016, Non-linear resonant coupling of tsunami edge waves using stochastic earthquake source models: Geophysical Journal International, v. 204, no. 2, p. 878-891, https://doi.org/10.1093/gji/ggv489.","productDescription":"14 p.","startPage":"878","endPage":"891","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066314","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471413,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggv489","text":"Publisher Index Page"},{"id":312783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"204","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-10","publicationStatus":"PW","scienceBaseUri":"567bd3bde4b0a04ef491a209","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":583091,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159915,"text":"70159915 - 2016 - Contrasting distributions of groundwater arsenic and uranium in the western Hetao basin, Inner Mongolia: Implication for origins and fate controls","interactions":[],"lastModifiedDate":"2015-12-07T09:05:52","indexId":"70159915","displayToPublicDate":"2015-12-03T14:45:00","publicationYear":"2016","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":"Contrasting distributions of groundwater arsenic and uranium in the western Hetao basin, Inner Mongolia: Implication for origins and fate controls","docAbstract":"

Although As concentrations have been investigated in shallow groundwater from the Hetao basin, China, less is known about U and As distributions in deep groundwater, which would help to better understand their origins and fate controls. Two hundred and ninety-nine groundwater samples, 122 sediment samples, and 14 rock samples were taken from the northwest portion of the Hetao basin, and analyzed for geochemical parameters. Results showed contrasting distributions of groundwater U and As, with high U and low As concentrations in the alluvial fans along the basin margins, and low U and high As concentrations downgradient in the flat plain. The probable sources of both As and U in groundwater were ultimately traced to the bedrocks in the local mountains (the Langshan Mountains). Chemical weathering of U-bearing rocks (schist, phyllite, and carbonate veins) released and mobilized U as UO2(CO3)22 − and UO2(CO3)34 − species in the alluvial fans under oxic conditions and suboxic conditions where reductions of Mn and NO3− were favorable (OSO), resulting in high groundwater U concentrations. Conversely, the recent weathering of As-bearing rocks (schist, phyllite, and sulfides) led to the formation of As-bearing Fe(III) (hydr)oxides in sediments, resulting in low groundwater As concentrations. Arsenic mobilization and U immobilization occurred in suboxic conditions where reduction of Fe(III) oxides was favorable and reducing conditions (SOR). Reduction of As-bearing Fe(III) (hydr)oxides, which were formed during palaeo-weathering and transported and deposited as Quaternary aquifer sediments, was believed to release As into groundwater. Reduction of U(VI) to U(IV) would lead to the formation of uraninite, and therefore remove U from groundwater. We conclude that the contrasting distributions of groundwater As and U present a challenge to ensuring safe drinking water in analogous areas, especially with high background values of U and As.

","language":"English","publisher":"Elsevier Pub. Co.","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2015.10.018","usgsCitation":"Guo, H., Jia, Y., Wanty, R.B., Jiang, Y., Zhao, W., Xiu, W., Shen, J., Li, Y., Cao, Y., Wu, Y., Zhang, D., Wei, C., Zhang, Y., Cao, W., and Foster, A.L., 2016, Contrasting distributions of groundwater arsenic and uranium in the western Hetao basin, Inner Mongolia: Implication for origins and fate controls: Science of the Total Environment, v. 541, p. 1172-1190, https://doi.org/10.1016/j.scitotenv.2015.10.018.","productDescription":"19 p.","startPage":"1172","endPage":"1190","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069190","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":311880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Hetao Basin, Inner Mongolia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 106,\n 40\n ],\n [\n 106,\n 42\n ],\n [\n 109,\n 42\n ],\n [\n 109,\n 40\n ],\n [\n 106,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"541","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167b7e4b06a3ea36c5657","contributors":{"authors":[{"text":"Guo, Huaming","contributorId":138510,"corporation":false,"usgs":false,"family":"Guo","given":"Huaming","email":"","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":581018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jia, Yongfeng","contributorId":150209,"corporation":false,"usgs":false,"family":"Jia","given":"Yongfeng","email":"","affiliations":[{"id":12433,"text":"China University of 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Yuan","contributorId":18241,"corporation":false,"usgs":true,"family":"Li","given":"Yuan","email":"","affiliations":[],"preferred":false,"id":581024,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cao, Yongsheng","contributorId":150214,"corporation":false,"usgs":false,"family":"Cao","given":"Yongsheng","email":"","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":581025,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wu, Yang","contributorId":150215,"corporation":false,"usgs":false,"family":"Wu","given":"Yang","email":"","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":581026,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhang, Di","contributorId":150216,"corporation":false,"usgs":false,"family":"Zhang","given":"Di","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":581027,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wei, Chao","contributorId":150217,"corporation":false,"usgs":false,"family":"Wei","given":"Chao","email":"","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":581028,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Zhang, Yilong","contributorId":150218,"corporation":false,"usgs":false,"family":"Zhang","given":"Yilong","email":"","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":581029,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cao, Wengeng","contributorId":150219,"corporation":false,"usgs":false,"family":"Cao","given":"Wengeng","email":"","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":581030,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":581031,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70159877,"text":"70159877 - 2016 - Changes in seasonal climate outpace compensatory density-dependence in eastern brook trout","interactions":[],"lastModifiedDate":"2016-02-01T13:28:26","indexId":"70159877","displayToPublicDate":"2015-12-03T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Changes in seasonal climate outpace compensatory density-dependence in eastern brook trout","docAbstract":"

Understanding how multiple extrinsic (density-independent) factors and intrinsic (density-dependent) mechanisms influence population dynamics has become increasingly urgent in the face of rapidly changing climates. It is particularly unclear how multiple extrinsic factors with contrasting effects among seasons are related to declines in population numbers and changes in mean body size and whether there is a strong role for density-dependence. The primary goal of this study was to identify the roles of seasonal variation in climate driven environmental direct effects (mean stream flow and temperature) versus density-dependence on population size and mean body size in eastern brook trout (Salvelinus fontinalis). We use data from a 10-year capture-mark-recapture study of eastern brook trout in four streams in Western Massachusetts, USA to parameterize a discrete-time population projection model. The model integrates matrix modeling techniques used to characterize discrete population structures (age, habitat type and season) with integral projection models (IPMs) that characterize demographic rates as continuous functions of organismal traits (in this case body size). Using both stochastic and deterministic analyses we show that decreases in population size are due to changes in stream flow and temperature and that these changes are larger than what can be compensated for through density-dependent responses. We also show that the declines are due mostly to increasing mean stream temperatures decreasing the survival of the youngest age class. In contrast, increases in mean body size over the same period are the result of indirect changes in density with a lesser direct role of climate-driven environmental change.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13135","usgsCitation":"Bassar, R.D., Letcher, B.H., Nislow, K., and Whiteley, A.R., 2016, Changes in seasonal climate outpace compensatory density-dependence in eastern brook trout: Global Change Biology, v. 22, no. 2, p. 577-593, https://doi.org/10.1111/gcb.13135.","productDescription":"17 p.","startPage":"577","endPage":"593","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049250","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":311858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Whately","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.69275665283203,\n 42.40698116175213\n ],\n [\n -72.69275665283203,\n 42.469564487829516\n ],\n [\n -72.5925064086914,\n 42.469564487829516\n ],\n [\n -72.5925064086914,\n 42.40698116175213\n ],\n [\n -72.69275665283203,\n 42.40698116175213\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-06","publicationStatus":"PW","scienceBaseUri":"566167b6e4b06a3ea36c5653","contributors":{"authors":[{"text":"Bassar, Ronald D.","contributorId":150154,"corporation":false,"usgs":false,"family":"Bassar","given":"Ronald","email":"","middleInitial":"D.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":580858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":149617,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","middleInitial":"H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":580857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nislow, Keith H.","contributorId":60106,"corporation":false,"usgs":true,"family":"Nislow","given":"Keith H.","affiliations":[],"preferred":false,"id":580859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whiteley, Andrew R.","contributorId":150155,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":580860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159885,"text":"70159885 - 2016 - Impact of Deepwater Horizon Spill on food supply to deep-sea benthos communities","interactions":[],"lastModifiedDate":"2017-09-13T16:47:43","indexId":"70159885","displayToPublicDate":"2015-12-03T10:45:00","publicationYear":"2016","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":"Impact of Deepwater Horizon Spill on food supply to deep-sea benthos communities","docAbstract":"

Deep-sea ecosystems encompass unique and often fragile communities that are sensitive to a variety of anthropogenic and natural impacts. After the 2010 Deepwater Horizon (DWH) oil spill, sampling efforts documented the acute impact of the spill on some deep-sea coral colonies. To investigate the impact of the DWH spill on quality and quantity of biomass delivered to the deep-sea, a suite of geochemical tracers (e.g., stable and radio-isotopes, lipid biomarkers, and compound specific isotopes) was measured from monthly sediment trap samples deployed near a high-density deep-coral site in the Viosca Knoll area of the north-central Gulf of Mexico prior to (Oct-2008 to Sept-2009) and after the spill (Oct-10 to Sept-11). Marine (e.g., autochthonous) sources of organic matter dominated the sediment traps in both years, however after the spill, there was a pronounced reduction in marinesourced OM, including a reduction in marine-sourced sterols and n-alkanes and a concomitant decrease in sediment trap organic carbon and pigment flux. Results from this study indicate a reduction in primary production and carbon export to the deep-sea in 2010-2011, at least 6-18 months after the spill started. Whereas satellite observations indicate an initial increase in phytoplankton biomass, results from this sediment trap study define a reduction in primary production and carbon export to the deep-sea community. In addition, a dilution from a low-14C carbon source (e.g., petrocarbon) was detected in the sediment trap samples after the spill, in conjunction with a change in the petrogenic composition. The data presented here fills a critical gap in our knowledge of biogeochemical processes and sub-acute impacts to the deep-sea that ensued after the 2010 DWH spill.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2015.11.008","usgsCitation":"Prouty, N.G., Swarzenski, P., Mienis, F., Duineveld, G., Demopoulos, A.W., Ross, S., and Brooke, S., 2016, Impact of Deepwater Horizon Spill on food supply to deep-sea benthos communities: Estuarine, Coastal and Shelf Science, v. 169, p. 248-264, https://doi.org/10.1016/j.ecss.2015.11.008.","productDescription":"17 p.","startPage":"248","endPage":"264","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064552","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":311848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.98876953125,\n 27.89734922968426\n ],\n [\n -90.98876953125,\n 30.958768570779846\n ],\n [\n -84.638671875,\n 30.958768570779846\n ],\n [\n -84.638671875,\n 27.89734922968426\n ],\n [\n -90.98876953125,\n 27.89734922968426\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"169","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167b9e4b06a3ea36c5661","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":580881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Pamela 0000-0002-2232-6381 pswarzenski@usgs.gov","orcid":"https://orcid.org/0000-0002-2232-6381","contributorId":150165,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Pamela","email":"pswarzenski@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":580882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mienis, Furu","contributorId":150166,"corporation":false,"usgs":false,"family":"Mienis","given":"Furu","email":"","affiliations":[{"id":17924,"text":"Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":580883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duineveld, Gerald","contributorId":150167,"corporation":false,"usgs":false,"family":"Duineveld","given":"Gerald","email":"","affiliations":[{"id":17924,"text":"Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":580884,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":580885,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ross, Steve W.","contributorId":41134,"corporation":false,"usgs":false,"family":"Ross","given":"Steve W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":580886,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brooke, Sandra","contributorId":150169,"corporation":false,"usgs":false,"family":"Brooke","given":"Sandra","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":580887,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70159899,"text":"70159899 - 2016 - geoknife: Reproducible web-processing of large gridded datasets","interactions":[],"lastModifiedDate":"2016-03-31T12:58:43","indexId":"70159899","displayToPublicDate":"2015-12-03T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"geoknife: Reproducible web-processing of large gridded datasets","docAbstract":"

Geoprocessing of large gridded data according to overlap with irregular landscape features is common to many large-scale ecological analyses. The geoknife R package was created to facilitate reproducible analyses of gridded datasets found on the U.S. Geological Survey Geo Data Portal web application or elsewhere, using a web-enabled workflow that eliminates the need to download and store large datasets that are reliably hosted on the Internet. The package provides access to several data subset and summarization algorithms that are available on remote web processing servers. Outputs from geoknife include spatial and temporal data subsets, spatially-averaged time series values filtered by user-specified areas of interest, and categorical coverage fractions for various land-use types.

","language":"English","publisher":"Wiley","doi":"10.1111/ecog.01880","usgsCitation":"Read, J.S., Walker, J.I., Appling, A., Blodgett, D.L., Read, E.K., and Winslow, L., 2016, geoknife: Reproducible web-processing of large gridded datasets: Ecography, v. 39, no. 4, p. 354-360, https://doi.org/10.1111/ecog.01880.","productDescription":"7 p.","startPage":"354","endPage":"360","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065913","costCenters":[],"links":[{"id":471415,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.01880","text":"Publisher Index Page"},{"id":311835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-09","publicationStatus":"PW","scienceBaseUri":"566167bae4b06a3ea36c566b","chorus":{"doi":"10.1111/ecog.01880","url":"http://dx.doi.org/10.1111/ecog.01880","publisher":"Wiley-Blackwell","authors":"Read Jordan S., Walker Jordan I., Appling Alison P., Blodgett David L., Read Emily K., Winslow Luke A.","journalName":"Ecography","publicationDate":"11/9/2015","auditedOn":"11/11/2015"},"contributors":{"authors":[{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Jordan I. 0000-0003-2226-3373 jiwalker@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-3373","contributorId":4608,"corporation":false,"usgs":true,"family":"Walker","given":"Jordan","email":"jiwalker@usgs.gov","middleInitial":"I.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":580947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Appling, Alison P. aappling@usgs.gov","contributorId":150192,"corporation":false,"usgs":true,"family":"Appling","given":"Alison P.","email":"aappling@usgs.gov","affiliations":[],"preferred":false,"id":580948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":580949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Read, Emily K. 0000-0002-9617-9433 eread@usgs.gov","orcid":"https://orcid.org/0000-0002-9617-9433","contributorId":5815,"corporation":false,"usgs":true,"family":"Read","given":"Emily","email":"eread@usgs.gov","middleInitial":"K.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":false,"id":580950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winslow, Luke A. lwinslow@usgs.gov","contributorId":139775,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke A.","email":"lwinslow@usgs.gov","affiliations":[],"preferred":false,"id":580951,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159868,"text":"fs20153084 - 2016 - Sustainable groundwater management in California","interactions":[],"lastModifiedDate":"2016-06-23T15:12:31","indexId":"fs20153084","displayToPublicDate":"2015-12-01T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3084","title":"Sustainable groundwater management in California","docAbstract":"

The U.S. Geological Survey (USGS) uses data collection, modeling tools, and scientific analysis to help water managers plan for, and assess, hydrologic issues that can cause “undesirable results” associated with groundwater use. This information helps managers understand trends and investigate and predict effects of different groundwater-management strategies.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153084","usgsCitation":"Phillips, S.P., Rogers, L.L., Faunt, C.C., 2015, Sustainable groundwater management in California (ver. 2.2, February 2016): U.S. Geological Survey Fact Sheet 2015-3084, 8 p., https://dx.doi.org/10.3133/fs20153084","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-069819","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":318306,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2015/3084/versionHist.txt","linkFileType":{"id":2,"text":"txt"}},{"id":311779,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3084/coverthb2.jpg"},{"id":311780,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3084/fs20153084.pdf","text":"Report","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3084"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.23339843749999,\n 42.01665183556825\n ],\n [\n -119.99267578124999,\n 41.983994270935625\n ],\n [\n -120.05859375,\n 39.01064750994083\n ],\n [\n -114.6533203125,\n 35.04798673426734\n ],\n [\n -114.60937499999999,\n 34.831841149828655\n ],\n [\n -114.3896484375,\n 34.74161249883172\n ],\n [\n -114.27978515625,\n 34.43409789359469\n ],\n [\n -114.10400390625,\n 34.21634468843465\n ],\n [\n -114.345703125,\n 33.94335994657882\n ],\n [\n -114.41162109375,\n 33.797408767572485\n ],\n [\n -114.45556640625,\n 33.52307880890422\n ],\n [\n -114.60937499999999,\n 33.394759218577995\n ],\n [\n -114.58740234375,\n 33.211116472416855\n ],\n [\n -114.71923828124999,\n 33.04550781490999\n ],\n [\n -114.43359375,\n 33.04550781490999\n ],\n [\n -114.345703125,\n 32.861132322810946\n ],\n [\n -114.49951171875,\n 32.694865977875075\n ],\n [\n -114.697265625,\n 32.657875736955305\n ],\n [\n -117.158203125,\n 32.491230287947594\n ],\n [\n -117.35595703124999,\n 32.91648534731439\n ],\n [\n -117.53173828125,\n 33.100745405144245\n ],\n [\n -117.92724609375,\n 33.46810795527896\n ],\n [\n -118.27880859375001,\n 33.669496972795535\n ],\n [\n -118.41064453125,\n 33.669496972795535\n ],\n [\n -118.67431640625,\n 33.87041555094183\n ],\n [\n -118.98193359375,\n 33.90689555128866\n ],\n [\n -119.24560546875001,\n 33.94335994657882\n ],\n [\n -119.50927734374999,\n 34.23451236236984\n ],\n [\n -119.7509765625,\n 34.34343606848294\n ],\n [\n -120.234375,\n 34.252676117101515\n ],\n [\n -120.58593749999999,\n 34.361576287484176\n ],\n [\n -120.78369140624999,\n 34.56085936708384\n ],\n [\n -120.7177734375,\n 35.08395557927643\n ],\n [\n -121.09130859375,\n 35.209721645221386\n ],\n [\n -121.09130859375,\n 35.38904996691167\n ],\n [\n -122.10205078125,\n 36.24427318493909\n ],\n [\n -122.10205078125,\n 36.5978891330702\n ],\n [\n -121.92626953124999,\n 36.721273880045004\n ],\n [\n -121.9482421875,\n 36.86204269508728\n ],\n [\n -122.16796875,\n 36.86204269508728\n ],\n [\n -122.58544921875,\n 37.19533058280065\n ],\n [\n -122.6513671875,\n 37.42252593456307\n ],\n [\n -122.62939453125001,\n 37.71859032558816\n ],\n [\n -122.84912109375,\n 37.89219554724437\n ],\n [\n -123.1787109375,\n 37.89219554724437\n ],\n [\n -123.06884765625,\n 38.11727165830543\n ],\n [\n -123.06884765625,\n 38.30718056188316\n ],\n [\n -123.33251953125,\n 38.39333888832238\n ],\n [\n -123.85986328124999,\n 38.839707613545144\n ],\n [\n -123.837890625,\n 38.993572058209466\n ],\n [\n -123.90380859374999,\n 39.232253141714885\n ],\n [\n -123.8818359375,\n 39.53793974517628\n ],\n [\n -124.01367187499999,\n 39.774769485295465\n ],\n [\n -124.27734374999999,\n 40.07807142745009\n ],\n [\n -124.47509765625,\n 40.26276066437183\n ],\n [\n -124.47509765625,\n 40.613952441166596\n ],\n [\n -124.25537109375,\n 40.84706035607122\n ],\n [\n -124.23339843749999,\n 41.02964338716638\n ],\n [\n -124.25537109375,\n 41.19518982948959\n ],\n [\n -124.12353515624999,\n 41.475660200278234\n ],\n [\n -124.18945312500001,\n 41.623655390686395\n ],\n [\n -124.3212890625,\n 41.75492216766298\n ],\n [\n -124.23339843749999,\n 42.01665183556825\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1: Originally posted December 1, 2015; Version 2.2: February, 2016","contact":"

Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, CA 95819
http://ca.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2015-12-01","revisedDate":"2016-02-22","noUsgsAuthors":false,"publicationDate":"2015-12-01","publicationStatus":"PW","scienceBaseUri":"565ec4b2e4b071e7ea544417","contributors":{"authors":[{"text":"Phillips, Steven P. 0000-0002-5107-868X sphillip@usgs.gov","orcid":"https://orcid.org/0000-0002-5107-868X","contributorId":1506,"corporation":false,"usgs":true,"family":"Phillips","given":"Steven","email":"sphillip@usgs.gov","middleInitial":"P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Laurel Lynn larogers@usgs.gov","contributorId":2067,"corporation":false,"usgs":true,"family":"Rogers","given":"Laurel","email":"larogers@usgs.gov","middleInitial":"Lynn","affiliations":[],"preferred":true,"id":580831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580830,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159768,"text":"ofr20151224 - 2016 - Estimated agricultural pesticide use for Southeast Stream-Quality Assessment, 2014","interactions":[],"lastModifiedDate":"2016-10-14T16:49:17","indexId":"ofr20151224","displayToPublicDate":"2015-12-01T13:30:00","publicationYear":"2016","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":"2015-1224","title":"Estimated agricultural pesticide use for Southeast Stream-Quality Assessment, 2014","docAbstract":"

Introduction

\n

One of the goals of the U.S. Geological Survey (USGS) Southeast Stream-Quality Assessment (SESQA) is to characterize contaminants at perennial-stream sites throughout the southern Piedmont and southern Appalachian Mountains. The evaluation of pesticide inputs from agricultural sources will aid in that characterization.

\n

Methods used for calculating county-level pesticide use documented in this report are from methods developed and described by Thelin and Stone (2013) and Baker and Stone (2015). Two methods for calculating estimated pesticide use (EPest) rates—EPest-low and EPest-high—were applied in this study to estimate a probable range in the annual amounts of pesticide used for agriculture in 2014. To calculate watershed-level estimates, county-level use was proportionally allocated to agricultural land within each watershed. Concentrations of 262 pesticide compounds were estimated and compiled for subsequent analysis by the USGS National Water Quality Assessment Program, Southeast Stream-Quality Assessment.

\n

This report provides estimates of annual agricultural use of 262 pesticide compounds for counties and selected watersheds in parts of eight southeastern States for 2014. Estimates of county- and watershed-level annual agricultural pesticide use are provided as downloadable, tab-delimited files for both EPest-high and EPest-low.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151224","usgsCitation":"Baker, N.T., 2016, Estimated agricultural pesticide use for Southeast Stream-Quality Assessment, 2014 (ver 2.1, July, 2016): U.S. Geological Survey Open-File Report 2015–1224, 5 p., https://dx.doi.org/10.3133/ofr20151224.","productDescription":"Report: iii, 5 p.; 3 Tables","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2014-01-01","temporalEnd":"2014-12-31","ipdsId":"IP-067218","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":311730,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2015/1224/ofr20151224_table1.txt","text":"Estimated pesticide use (EPest)-high and EPest-low estimates, by county","size":"15.3 MB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2015-1224","linkHelpText":"(Table 1)"},{"id":311734,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2015/1224/ofr20151224_table3.xlsx","text":"Southeast Stream-Quality Assessment watershed station information","size":"20.5 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1224","linkHelpText":"(Table 3)"},{"id":311729,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1224/ofr20151224.pdf","text":"Report","size":"687 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1224"},{"id":312158,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2015/1224/versionHist.txt","size":"793 MB","linkFileType":{"id":2,"text":"txt"}},{"id":311733,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2015/1224/ofr20151224_table2.txt","text":"Estimated pesticide use (EPest)-high and EPest-low estimates, by watershed","size":"1.63 MB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2015-1224","linkHelpText":"(Table 2)"},{"id":311728,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1224/coverthb1.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, North Carolina, South Carolina, Tennessee, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.36328125,\n 33.742612777346885\n ],\n [\n -84.5068359375,\n 36.50963615733049\n ],\n [\n -81.67236328125,\n 37.37888785004527\n ],\n [\n -80.09033203125,\n 38.151837403006766\n ],\n [\n -78.46435546875,\n 39.5633531658293\n ],\n [\n -77.420654296875,\n 39.198205348894795\n ],\n [\n -77.750244140625,\n 36.527294814546245\n ],\n [\n -78.145751953125,\n 35.36217605914681\n ],\n [\n -79.661865234375,\n 34.768691457552706\n ],\n [\n -81.9580078125,\n 33.43144133557529\n ],\n [\n -84.88037109375,\n 32.24997445586331\n ],\n [\n -87.418212890625,\n 32.98102014898148\n ],\n [\n -87.36328125,\n 33.742612777346885\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted December 1, 2015; Version 2.0: December 14, 2015; Version 2.1: July 19, 2016","contact":"

Director, Indiana Water Science Center
5957 Lakeside Blvd.
Indianapolis, IN 46278
http://in.water.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2015-12-01","revisedDate":"2016-07-19","noUsgsAuthors":false,"publicationDate":"2015-12-01","publicationStatus":"PW","scienceBaseUri":"565ec4afe4b071e7ea54440d","contributors":{"authors":[{"text":"Baker, Nancy T. 0000-0002-7979-5744 ntbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":1955,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"ntbaker@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580378,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159840,"text":"70159840 - 2016 - Conservation genomics reveals multiple evolutionary units within Bell’s Vireo (Vireo bellii).","interactions":[],"lastModifiedDate":"2016-03-10T11:21:29","indexId":"70159840","displayToPublicDate":"2015-12-01T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Conservation genomics reveals multiple evolutionary units within Bell’s Vireo (Vireo bellii).","docAbstract":"

The Bell’s Vireo (Vireo bellii) is a widespread North American species of bird that has declined since the mid-1960s primarily due to habitat modification. Throughout its range, Bell’s Vireo populations are regulated under varying degrees of protection; however, the species has never been characterized genetically. Therefore, the current taxonomy used to guide management decisions may misrepresent the true evolutionary history for the species. We sequenced 86 individuals for ND2 and genotyped 48 individuals for genome-wide SNPs to identify distinct lineages within Bell’s Vireo. Phylogenetic analyses uncovered two distinct clades that are separated in the arid southwestern United States, near the border of the Chihuahuan and Sonoran Deserts. These clades diverged from each other approximately 1.11–2.04 mya. The timing of diversification, geographic location, and niche modeling of the east/west divergence suggest vicariance as a mode of diversification for these two lineages. Analyses of the SNP dataset provided additional resolution and indicated the Least Bell’s Vireo populations are a distinct evolutionary lineage. Our genetic evidence, together with information from morphology and behavior, suggests that the Bell’s Vireo complex involves two species, each containing two separate subspecies. This new information has implications for the federal, state and other listing status of Bell’s Vireo throughout its range.

","language":"English","publisher":"Springer","doi":"10.1007/s10592-015-0796-z","usgsCitation":"Klicka, L.B., Kus, B., Title, P.O., and Burns, K.J., 2016, Conservation genomics reveals multiple evolutionary units within Bell’s Vireo (Vireo bellii).: Conservation Genetics, v. 17, no. 2, p. 455-471, https://doi.org/10.1007/s10592-015-0796-z.","productDescription":"17 p.","startPage":"455","endPage":"471","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066167","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471416,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-015-0796-z","text":"Publisher Index Page"},{"id":311760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Missouri, Nebraska, Nevada, Oklahoma, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.53125,\n 34.30714385628804\n ],\n [\n -117.66357421875,\n 37.35269280367274\n ],\n [\n -114.06005859375,\n 37.71859032558816\n ],\n [\n -94.68017578125,\n 37.579412513438385\n ],\n [\n -95.80078125,\n 40.613952441166596\n ],\n [\n -91.20849609375,\n 40.53050177574321\n ],\n [\n -89.93408203124999,\n 38.75408327579141\n ],\n [\n -94.04296874999999,\n 33.50475906922606\n ],\n [\n -99.33837890625,\n 27.00040800352175\n ],\n [\n -106.23779296875,\n 31.372399104880525\n ],\n [\n -111.1376953125,\n 31.27855085894653\n ],\n [\n -115.00488281250001,\n 32.54681317351514\n ],\n [\n -117.22412109375,\n 32.56533316084101\n ],\n [\n -119.53125,\n 34.30714385628804\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-25","publicationStatus":"PW","scienceBaseUri":"565ec4afe4b071e7ea544409","contributors":{"authors":[{"text":"Klicka, Luke B.","contributorId":150094,"corporation":false,"usgs":false,"family":"Klicka","given":"Luke","email":"","middleInitial":"B.","affiliations":[{"id":17910,"text":"San Diego State University, CA","active":true,"usgs":false}],"preferred":false,"id":580679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":580678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Title, Pascal O.","contributorId":150095,"corporation":false,"usgs":false,"family":"Title","given":"Pascal","email":"","middleInitial":"O.","affiliations":[{"id":17911,"text":"Dep't Ecology and Evolutionary Biology, U Michigan","active":true,"usgs":false}],"preferred":false,"id":580680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Kevin J.","contributorId":150096,"corporation":false,"usgs":false,"family":"Burns","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":17912,"text":"Dep't Biology, San Diego State University, CA","active":true,"usgs":false}],"preferred":false,"id":580681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159867,"text":"70159867 - 2016 - Urban effects on regional climate: a case study in the Phoenix and Tucson ‘sun’ corridor","interactions":[],"lastModifiedDate":"2016-08-19T10:38:03","indexId":"70159867","displayToPublicDate":"2015-12-01T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Urban effects on regional climate: a case study in the Phoenix and Tucson ‘sun’ corridor","docAbstract":"

Land use and land cover change (LULCC) due to urban expansion alter the surface albedo, heat capacity, and thermal conductivity of the surface. Consequently, the energy balance in urban regions is different from that of natural surfaces. To evaluate the changes in regional climate that could arise due to projected urbanization in the Phoenix-Tucson corridor, Arizona, we applied the coupled WRF-NOAH-UCM (which includes a detailed urban radiation scheme) to this region. Land cover changes were represented using land cover data for 2005 and projections to 2050, and historical North American Regional Reanalysis (NARR) data were used to specify the lateral boundary conditions. Results suggest that temperature changes will be well defined, reflecting the urban heat island (UHI) effect within areas experiencing LULCC. Changes in precipitation are less robust, but seem to indicate reductions in precipitation over the mountainous regions northeast of Phoenix and decreased evening precipitation over the newly-urbanized area.

","language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/EI-D-15-0027.1","usgsCitation":"Yang, Z., Dominguez, F., Gupta, H., Xubin Zeng, and Norman, L.M., 2016, Urban effects on regional climate: a case study in the Phoenix and Tucson ‘sun’ corridor: Earth Interactions, v. 20, Paper No. 20; 25 p., https://doi.org/10.1175/EI-D-15-0027.1.","productDescription":"Paper No. 20; 25 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064793","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471417,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-15-0027.1","text":"Publisher Index Page"},{"id":311785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-16","publicationStatus":"PW","scienceBaseUri":"56602441e4b071e7ea544cba","contributors":{"authors":[{"text":"Yang, Zhao","contributorId":150143,"corporation":false,"usgs":false,"family":"Yang","given":"Zhao","email":"","affiliations":[{"id":17918,"text":"1Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":580825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dominguez, Francina","contributorId":150144,"corporation":false,"usgs":false,"family":"Dominguez","given":"Francina","email":"","affiliations":[{"id":17919,"text":"Department of Atmospheric Science, University of Arizona, Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":580826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gupta, Hoshin","contributorId":150145,"corporation":false,"usgs":false,"family":"Gupta","given":"Hoshin","email":"","affiliations":[{"id":17918,"text":"1Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":580827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xubin Zeng","contributorId":150146,"corporation":false,"usgs":false,"family":"Xubin Zeng","affiliations":[{"id":17920,"text":"2Department of Atmospheric Science, University of Arizona, Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":580828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":580824,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159856,"text":"70159856 - 2016 - Annual variation in recruitment of freshwater mussels and its relationship with river discharge","interactions":[],"lastModifiedDate":"2016-08-12T11:02:18","indexId":"70159856","displayToPublicDate":"2015-12-01T11:30:00","publicationYear":"2016","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":"Annual variation in recruitment of freshwater mussels and its relationship with river discharge","docAbstract":"
    \n
  1. Vital rates such as mortality, growth, and recruitment are important tools to evaluate the status of threatened populations and identify their vulnerabilities, leading to enhanced conservation strategies.
    2. \n
  2. Native freshwater mussels are a guild of largely sedentary, filter-feeding bivalves currently facing worldwide declines. Lack of recruitment has been identified as a major threat to mussel populations.
    3. \n
  3. A mussel bed in the Upper Mississippi River was sampled for 5 years (2008–2012). A trend analysis showed a significant decline in the percentage of species with juvenile representatives.
    4. \n
  4. Species were grouped into equilibrium and periodic life history strategies to assess past recruitment. Residuals from catch-curve regressions quantified past year-class strength of both strategists and Amblema plicata over a 13-year period (1994–2006), and identified strong and weak year-classes.
    5. \n
  5. Generalized linear regression models containing July maximum discharge and April minimum discharge explained 64% of the variation in recruitment strength of A. plicata. The best model for the equilibrium strategists explained 86% of the variation in recruitment and contained the same variables as A. plicata, but also incorporated the 7-day minimum discharge. For the periodic strategists, the model containing the number of low-flow pulses and the mean duration of high-flow pulses explained 56% of the variation in recruitment strength.
    6. \n
  6. Understanding variation in recruitment dynamics of native mussels and its relationship to river discharge will be useful in designing effective management strategies to enhance conservation of this imperilled fauna.
    7. \n
","language":"English","publisher":"John Wiley & Sons, Ltd.","doi":"10.1002/aqc.2590","usgsCitation":"Ries, P.R., Newton, T., Haro, R.J., Zigler, S.J., and Davis, M., 2016, Annual variation in recruitment of freshwater mussels and its relationship with river discharge: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 26, no. 4, p. 703-714, https://doi.org/10.1002/aqc.2590.","productDescription":"12 p.","startPage":"703","endPage":"714","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-057339","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":311759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Mississippi River, West Newton Chute","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.93050384521483,\n 44.26241249401097\n ],\n [\n -91.93050384521483,\n 44.28748597164118\n ],\n [\n -91.89170837402342,\n 44.28748597164118\n ],\n [\n -91.89170837402342,\n 44.26241249401097\n ],\n [\n -91.93050384521483,\n 44.26241249401097\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-11","publicationStatus":"PW","scienceBaseUri":"565ec4aee4b071e7ea544405","contributors":{"authors":[{"text":"Ries, Patricia R. pries@usgs.gov","contributorId":5954,"corporation":false,"usgs":true,"family":"Ries","given":"Patricia","email":"pries@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":580690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, Teresa 0000-0001-9351-5852 tnewton@usgs.gov","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":150098,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa","email":"tnewton@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":580689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haro, Roger J.","contributorId":139538,"corporation":false,"usgs":false,"family":"Haro","given":"Roger","email":"","middleInitial":"J.","affiliations":[{"id":12793,"text":"University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":580691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zigler, Steven J. 0000-0002-4153-0652 szigler@usgs.gov","orcid":"https://orcid.org/0000-0002-4153-0652","contributorId":2410,"corporation":false,"usgs":true,"family":"Zigler","given":"Steven","email":"szigler@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":580692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Mike","contributorId":150099,"corporation":false,"usgs":false,"family":"Davis","given":"Mike","email":"","affiliations":[{"id":17913,"text":"River Studies Center, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":580693,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70160301,"text":"70160301 - 2016 - Potential utility of environmental DNA for early detection of Eurasian watermilfoil (Myriophyllum spicatum)","interactions":[],"lastModifiedDate":"2016-12-14T12:37:13","indexId":"70160301","displayToPublicDate":"2015-12-01T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2180,"text":"Journal of Aquatic Plant Management","active":true,"publicationSubtype":{"id":10}},"title":"Potential utility of environmental DNA for early detection of Eurasian watermilfoil (Myriophyllum spicatum)","docAbstract":"

Considering the harmful and irreversible consequences of many biological invasions, early detection of an invasive species is an important step toward protecting ecosystems (Sepulveda et al. 2012). Early detection increases the probability that suppression or eradication efforts will be successful because invasive populations are small and localized (Vander Zanden et al. 2010). However, most invasive species are not detected early because current tools have low detection probabilities when target species are rare and the sampling effort required to achieve acceptable detection capabilities with current tools is seldom tractable (Jerde et al. 2011). As a result, many invasive species go undetected until they are abundant and suppression efforts become costly.
Novel DNA-based surveillance tools have recently revolutionized early detection abilities using environmental DNA (eDNA) present in the water (Darling and Mahon 2011, Bohmann et al. 2014). In brief, eDNA monitoring enables the identification of organisms from DNA present and collected in water samples. Aquatic and semiaquatic organisms release DNA contained in sloughed, damaged, or partially decomposed tissue and waste products into the water and molecular techniques allow this eDNA in the water column to be identified from simple and easy-tocollect water samples (Darling and Mahon 2011). Despite limited understanding of the production, persistence, and spread of DNA in water (Barnes et al. 2014), eDNA monitoring has been applied not only to invasive species (Jerde et al. 2011), but also to species that are rare, endangered, or highly elusive (Spear et al. 2014). However, most eDNA research and monitoring has focused on detection of invertebrates and vertebrates and less attentionhas been given to developing eDNA techniques for detecting aquatic invasive plants.
Eurasian watermilfoil (EWM; Myriophyllum spicatum L.) is an invasive species for which improved early detection would be particularly helpful. Advanced EWM invasions have negative impacts on native biodiversity, recreational boating, fishing, and other types of aquatic tourism (e.g., Eiswerth et al. 2000). On a broader scale, EWM can also be harmful to man-made aquatic infrastructure, such as hydroelectric dams. If an EWM invasion can be detected in an early stage where eradication is still a possibility, many of these negative consequences can be limited or prevented altogether (e.g., Madsen et al. 2002).
The purpose of this research was to develop and validate a traditional polymerase chain reaction (PCR) assay for the detection of pure and hybridized EWM DNA using both laboratory and field experiments. We performed a pilot experiment in outdoor tanks to determine the basic functionality and sensitivity of the assay. Following this initial test, we collected field samples from Michigan and Montana lakes with and without known EWM populations. Taken together, our findings suggest that eDNA techniques have potential to be a useful strategy for the early detection of EWM.

","language":"English","publisher":"Aquatic Plant Management Society","publisherLocation":"Washington, D.C.","collaboration":"Newton, Jeremy; Thum, Ryan","usgsCitation":"Newton, J., Sepulveda, A.J., Sylvester, K., and Thum, R., 2016, Potential utility of environmental DNA for early detection of Eurasian watermilfoil (Myriophyllum spicatum): Journal of Aquatic Plant Management, v. 54, p. 46-49.","productDescription":"4 p.","startPage":"46","endPage":"49","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068574","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":312778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312777,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.apms.org/2015/12/journal-of-aquatic-plant-management-volume-54-2016/","linkFileType":{"id":1,"text":"pdf"}}],"volume":"54","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567bd3bee4b0a04ef491a20f","contributors":{"authors":[{"text":"Newton, Jeremy","contributorId":150629,"corporation":false,"usgs":false,"family":"Newton","given":"Jeremy","email":"","affiliations":[{"id":18055,"text":"1. Robert B. Annis Water Resources Institute, Grand Valley State University, Allendale, MI 49401","active":true,"usgs":false}],"preferred":false,"id":582476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":582475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sylvester, K","contributorId":150785,"corporation":false,"usgs":false,"family":"Sylvester","given":"K","email":"","affiliations":[],"preferred":false,"id":583040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thum, Ryan","contributorId":150630,"corporation":false,"usgs":false,"family":"Thum","given":"Ryan","email":"","affiliations":[{"id":18056,"text":"3. Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT 59715","active":true,"usgs":false}],"preferred":false,"id":582477,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70170134,"text":"70170134 - 2016 - Brook trout passage performance through culverts","interactions":[],"lastModifiedDate":"2016-04-08T09:09:39","indexId":"70170134","displayToPublicDate":"2015-12-01T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Brook trout passage performance through culverts","docAbstract":"

Culverts can restrict access to habitat for stream-dwelling fishes. We used passive integrated transponder telemetry to quantify passage performance of >1000 wild brook trout (Salvelinus fontinalis) attempting to pass 13 culverts in Quebec under a range of hydraulic and environmental conditions. Several variables influenced passage success, including complex interactions between physiology and behavior, hydraulics, and structural characteristics. The probability of successful passage was greater through corrugated metal culverts than through smooth ones, particularly among smaller fish. Trout were also more likely to pass at warmer temperatures, but this effect diminished above 15 °C. Passage was impeded at higher flows, through culverts with steep slopes, and those with deep downstream pools. This study provides insight on factors influencing brook trout capacity to pass culverts as well as a model to estimate passage success under various conditions, with an improved resolution and accuracy over existing approaches. It also presents methods that could be used to investigate passage success of other species, with implications for connectivity of the riverscape.

","language":"English","publisher":"National Research Council Canada","publisherLocation":"Ottawa","doi":"10.1139/cjfas-2015-0089","collaboration":"Institut National de la Recherche Scientifique (Quebec, Canada)","usgsCitation":"Goerig, E., Castro-Santos, T.R., and Bergeron, N., 2016, Brook trout passage performance through culverts: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 1, p. 94-104, https://doi.org/10.1139/cjfas-2015-0089.","productDescription":"11 p.","startPage":"94","endPage":"104","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066023","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":471418,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0089","text":"External Repository"},{"id":319896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"572485c1e4b0b13d39159359","contributors":{"authors":[{"text":"Goerig, Elsa","contributorId":168522,"corporation":false,"usgs":false,"family":"Goerig","given":"Elsa","email":"","affiliations":[{"id":25321,"text":"Institut National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":626256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":626255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergeron, Normand","contributorId":168523,"corporation":false,"usgs":false,"family":"Bergeron","given":"Normand","affiliations":[{"id":25321,"text":"Institut National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":626257,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}