Questions: (1) What combinations of overlapping water and heat stress and herbivory disturbance gradients are associated with shifts in interactions between Artemisia tridentata subsp. wyomingensis (Artemisia) and herbaceous beneficiary species? (2) Do interactions between Artemisia and beneficiaries shift from competition to facilitation with increasing stress-disturbance where facilitation and competition are most frequent and strongest at the highest and lowest levels, respectively? (3) Do such relationships differ for native and non-native beneficiaries? (4) What are the implications of any observed shifts in interactions between community compositional stability in space and susceptibility to invasion?
\nLocation: North American Artemisia communities.
\nMethods: We tested the stress-gradient hypothesis (SGH) in an observational study consisting of 75 sites located along overlapping water and heat stress and disturbance gradients. We used spatial patterns of association among Artemisia and six native and two non-native beneficiary species; including the invasive annual grass Bromus tectorum, representing a diverse array of life history strategies, to infer whether the net outcome of interactions was facilitation or competition. We assessed implications for community stability by examining shifts in community composition in space and resistance to invasion.
\nResults/Conclusions: Cattle herbivory, a novel disturbance and selective force, was a significant component of two overlapping stress gradients most strongly associated with observed shifts in interactions. Facilitation and competition were strongest and most frequent at the highest and lowest stress levels along both gradients, respectively. Contrasting ecological optima among native and non-native beneficiaries led to strikingly different patterns of interactions. The four native bunchgrasses with the strongest competitive response abilities exhibited the strongest facilitation at their upper limits of stress tolerance, while the two non-natives exhibited the strongest competition at the highest stress levels, which coincided with their maximum abundance. Artemisia facilitation enhanced stability at intermediate stress levels by providing a refuge for native bunchgrasses, which in turn reduced the magnitude of B. tectorum invasion. However, facilitation was a destabilizing force at the highest stress levels when native bunchgrasses became obligate beneficiaries dependent on facilitation for their persistence. B. tectorum dominated these communities, and the next fire may convert them to annual grasslands.
","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12327","usgsCitation":"Reisner, M.D., Doescher, P., and Pyke, D.A., 2015, Stress-gradient hypothesis explains susceptibility to Bromus tectorum invasion and community stability in North America's semi-arid Artemisia tridentata wyomingensis ecosystems: Journal of Vegetation Science, v. 26, no. 6, p. 1212-1224, https://doi.org/10.1111/jvs.12327.","productDescription":"13 p.","startPage":"1212","endPage":"1224","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-05-10","temporalEnd":"2009-07-15","ipdsId":"IP-053585","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Great Basin floristic province","volume":"26","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-18","publicationStatus":"PW","scienceBaseUri":"55dd83a6e4b0518e354dc71c","contributors":{"authors":[{"text":"Reisner, Michael D.","contributorId":96178,"corporation":false,"usgs":true,"family":"Reisner","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":569453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doescher, Paul S.","contributorId":100306,"corporation":false,"usgs":true,"family":"Doescher","given":"Paul S.","affiliations":[],"preferred":false,"id":569454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":569452,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156550,"text":"70156550 - 2015 - Moisture rivals temperature in limiting photosynthesis by trees establishing beyond their cold-edge range limit under ambient and warmed conditions","interactions":[],"lastModifiedDate":"2017-11-22T17:50:41","indexId":"70156550","displayToPublicDate":"2015-08-25T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Moisture rivals temperature in limiting photosynthesis by trees establishing beyond their cold-edge range limit under ambient and warmed conditions","docAbstract":"The trace element molybdenum (Mo) is essential to a suite of nitrogen (N) cycling processes in ecosystems, but there is limited information on its distribution within soils and relationship to plant and bedrock pools. We examined soil, bedrock, and plant Mo variation across 24 forests spanning wide soil pH gradients on both basaltic and sedimentary lithologies in the Oregon Coast Range. We found that the oxidizable organic fraction of surface mineral soil accounted for an average of 33 %of bulk soil Mo across all sites, followed by 1.4 % associated with reducible Fe, Al, and Mn-oxides, and 1.4 % in exchangeable ion form. Exchangeable Mo was greatest at low pH, and its positive correlation with soil carbon (C) suggests organic matter as the source of readily exchangeable Mo. Molybdenum accumulation integrated over soil profiles to 1 m depth (τMoNb) increased with soil C, indicating that soil organic matter regulates long-term Mo retention and loss from soil. Foliar Mo concentrations displayed no relationship with bulk soil Mo, and were not correlated with organic horizon Mo or soil extractable Mo, suggesting active plant regulation of Mo uptake and/or poor fidelity of extractable pools to bioavailability. We estimate from precipitation sampling that atmospheric deposition supplies, on average, over 10 times more Mo annually than does litterfall to soil. In contrast, bedrock lithology had negligible effects on foliar and soil Mo concentrations and on Mo distribution among soil fractions. We conclude that atmospheric inputs may be a significant source of Mo to forest ecosystems, and that strong Mo retention by soil organic matter limits ecosystem Mo loss via dissolution and leaching pathways.
","language":"English","publisher":"Springer","doi":"10.1007/s10533-015-0121-4","usgsCitation":"Marks, J.A., Perakis, S.S., King, E., and Pett-Ridge, J., 2015, Soil organic matter regulates molybdenum storage and mobility in forests: Biogeochemistry, v. 125, no. 2, p. 167-183, https://doi.org/10.1007/s10533-015-0121-4.","productDescription":"17 p.","startPage":"167","endPage":"183","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-06-01","temporalEnd":"2014-10-18","ipdsId":"IP-063925","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Oregon Coast Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.1455078125,\n 44.32384807250689\n ],\n [\n -124.1455078125,\n 45.82879925192134\n ],\n [\n -122.96997070312499,\n 45.82879925192134\n ],\n [\n -122.96997070312499,\n 44.32384807250689\n ],\n [\n -124.1455078125,\n 44.32384807250689\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-01","publicationStatus":"PW","scienceBaseUri":"55dd83a6e4b0518e354dc71a","contributors":{"authors":[{"text":"Marks, Jade A","contributorId":146930,"corporation":false,"usgs":false,"family":"Marks","given":"Jade","email":"","middleInitial":"A","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":569456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":569455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Elizabeth K.","contributorId":146931,"corporation":false,"usgs":false,"family":"King","given":"Elizabeth K.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":569457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pett-Ridge, Julie","contributorId":146932,"corporation":false,"usgs":false,"family":"Pett-Ridge","given":"Julie","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":569458,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156551,"text":"70156551 - 2015 - Rethinking the longitudinal stream temperature paradigm: region-wide comparison of thermal infrared imagery reveals unexpected complexity of river temperatures","interactions":[],"lastModifiedDate":"2017-11-22T18:00:14","indexId":"70156551","displayToPublicDate":"2015-08-25T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Rethinking the longitudinal stream temperature paradigm: region-wide comparison of thermal infrared imagery reveals unexpected complexity of river temperatures","docAbstract":"Prevailing theory suggests that stream temperature warms asymptotically in a downstream direction, beginning at the temperature of the source in the headwaters and leveling off downstream as it converges to match meteorological conditions. However, there have been few empirical examples of longitudinal patterns of temperature in large rivers due to a paucity of data. We constructed longitudinal thermal profiles (temperature versus distance) for 53 rivers in the Pacific Northwest (USA) using an extensive dataset of remotely sensed summertime river temperatures and classified each profile into one of five patterns of downstream warming: asymptotic (increasing then flattening), linear (increasing steadily), uniform (not changing), parabolic (increasing then decreasing), or complex (not fitting other classes). We evaluated (1) how frequently profiles warmed asymptotically downstream as expected, and (2) whether relationships between river temperature and common hydroclimatic variables differed by profile class. We found considerable diversity in profile shape, with 47% of rivers warming asymptotically, and 53% having alternative profile shapes. Water temperature did not warm substantially over the course of the river for coastal parabolic and uniform profiles, and for some linear and complex profiles. Profile classes showed no clear geographical trends. The degree of correlation between river temperature and hydroclimatic variables differed among profile classes, but there was overlap among classes. Water temperature in rivers with asymptotic or parabolic profiles was positively correlated with August air temperature, tributary temperature and velocity, and negatively correlated with elevation, August precipitation, gradient, and distance upstream. Conversely, associations were less apparent in rivers with linear, uniform, or complex profiles. Factors contributing to the unique shape of parabolic profiles differed for coastal and inland rivers, where downstream cooling was influenced locally by climate or cool water inputs, respectively. Potential drivers of shape for complex profiles were specific to each river. These thermal patterns indicate diverse thermal habitats that may promote resilience of aquatic biota to climate change. Without this spatial context, climate change models may incorrectly estimate loss of thermally suitable habitat.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10506","usgsCitation":"Fullerton, A.H., Torgersen, C.E., Lawler, J.J., Faux, R.N., Steel, E.A., Beechie, T.J., Ebersole, J.L., and Leibowitz, S.J., 2015, Rethinking the longitudinal stream temperature paradigm: region-wide comparison of thermal infrared imagery reveals unexpected complexity of river temperatures: Hydrological Processes, v. 29, no. 22, p. 4719-4737, https://doi.org/10.1002/hyp.10506.","productDescription":"19 p.","startPage":"4719","endPage":"4737","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1994-07-01","temporalEnd":"2007-08-31","ipdsId":"IP-055750","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.04858398437499,\n 49.009050809382046\n ],\n [\n -123.321533203125,\n 49.023461463214126\n ],\n [\n -123.211669921875,\n 48.22467264956519\n ],\n [\n -124.771728515625,\n 48.42920055556841\n ],\n [\n -124.71679687499999,\n 47.87214396888731\n ],\n [\n -124.024658203125,\n 45.85941212790755\n ],\n [\n -124.244384765625,\n 43.79488907226601\n ],\n [\n -124.661865234375,\n 42.90011265525328\n ],\n [\n -124.112548828125,\n 41.43449030894922\n ],\n [\n -124.508056640625,\n 40.38839687388361\n ],\n [\n -123.85986328124999,\n 39.740986355883564\n ],\n [\n -123.82690429687499,\n 38.882481197550774\n ],\n [\n -123.035888671875,\n 38.18638677411551\n ],\n [\n -118.78967285156249,\n 38.156156969924915\n ],\n [\n -119.99267578124999,\n 38.993572058209466\n ],\n [\n -119.9981689453125,\n 41.99624282178583\n ],\n [\n -111.0443115234375,\n 42.00848901572399\n ],\n [\n -111.04774475097656,\n 44.47446108518852\n ],\n [\n -116.04858398437499,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"22","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-14","publicationStatus":"PW","scienceBaseUri":"55dd83a5e4b0518e354dc717","contributors":{"authors":[{"text":"Fullerton, Aimee H.","contributorId":146936,"corporation":false,"usgs":false,"family":"Fullerton","given":"Aimee","email":"","middleInitial":"H.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":569469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":569468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":569470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faux, Russell N.","contributorId":146937,"corporation":false,"usgs":false,"family":"Faux","given":"Russell","email":"","middleInitial":"N.","affiliations":[{"id":16760,"text":"Watershed Sciences, Inc.","active":true,"usgs":false}],"preferred":false,"id":569471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steel, E. Ashley","contributorId":7589,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":569472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":569473,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":569474,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leibowitz, Scott J.","contributorId":146939,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":569475,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70156552,"text":"70156552 - 2015 - Habitat manipulation influences northern bobwhite resource selection on a reclaimed surface mine","interactions":[],"lastModifiedDate":"2016-04-13T12:12:58","indexId":"70156552","displayToPublicDate":"2015-08-25T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Habitat manipulation influences northern bobwhite resource selection on a reclaimed surface mine","docAbstract":"More than 600,000 ha of mine land have been reclaimed in the eastern United States, providing large contiguous tracts of early successional vegetation that can be managed for northern bobwhite (Colinus virginianus). However, habitat quality on reclaimed mine land can be limited by extensive coverage of non-native invasive species, which are commonly planted during reclamation. We used discrete-choice analysis to investigate bobwhite resource selection throughout the year on Peabody Wildlife Management Area, a 3,330-ha reclaimed surface mine in western Kentucky. We used a treatment-control design to study resource selection at 2 spatial scales to identify important aspects of mine land vegetation and whether resource selection differed between areas with habitat management (i.e., burning, disking, herbicide; treatment) and unmanaged units (control). Our objectives were to estimate bobwhite resource selection on reclaimed mine land and to estimate the influence of habitat management practices on resource selection. We used locations from 283 individuals during the breeding season (1 Apr–30 Sep) and 136 coveys during the non-breeding season (1 Oct–Mar 31) from August 2009 to March 2014. Individuals were located closer to shrub cover than would be expected at random throughout the year. During the breeding season, individuals on treatment units used areas with smaller contagion index values (i.e., greater interspersion) compared with individuals on control units. During the non-breeding season, birds selected areas with greater shrub-open edge density compared with random. At the microhabitat scale, individuals selected areas with increased visual obstruction >1 m aboveground. During the breeding season, birds were closer to disked areas (linear and non-linear) than would be expected at random. Individuals selected non-linear disked areas during winter but did not select linear disked areas (firebreaks) because they were planted to winter wheat each fall and lacked cover during the non-breeding season. Individuals also selected areas treated with herbicide to control sericea lespedeza (Lespedeza cuneata) throughout the year. During the breeding season, bobwhites avoided areas burned during the previous dormant season. Habitat quality of reclaimed mine lands may be limited by a lack of shrub cover and extensive coverage of non-native herbaceous vegetation. Managers aiming to increase bobwhite abundance should focus on increasing interspersion of shrub cover, with no area >100 m from shrub cover. We suggest disking and herbicide application to control invasive species and improve the structure and composition of vegetation for bobwhites.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.944","usgsCitation":"Brooke, J.M., Peters, D.C., Unger, A.M., Tanner, E.P., Harper, C.A., Keyser, P.D., Clark, J.D., and Morgan, J.J., 2015, Habitat manipulation influences northern bobwhite resource selection on a reclaimed surface mine: Journal of Wildlife Management, v. 79, no. 8, p. 1264-1276, https://doi.org/10.1002/jwmg.944.","productDescription":"13 p.","startPage":"1264","endPage":"1276","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-08-01","temporalEnd":"2014-03-31","ipdsId":"IP-065967","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":307410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","otherGeospatial":"Peabody Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.418212890625,\n 37.09462150015557\n ],\n [\n -87.418212890625,\n 37.609879943747146\n ],\n [\n -86.5997314453125,\n 37.609879943747146\n ],\n [\n -86.5997314453125,\n 37.09462150015557\n ],\n [\n -87.418212890625,\n 37.09462150015557\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-13","publicationStatus":"PW","scienceBaseUri":"55dd83a4e4b0518e354dc70f","contributors":{"authors":[{"text":"Brooke, Jarred M.","contributorId":146940,"corporation":false,"usgs":false,"family":"Brooke","given":"Jarred","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":569477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peters, David C.","contributorId":146941,"corporation":false,"usgs":false,"family":"Peters","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":569478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Unger, Ashley M.","contributorId":146942,"corporation":false,"usgs":false,"family":"Unger","given":"Ashley","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":569479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tanner, Evan P.","contributorId":146943,"corporation":false,"usgs":false,"family":"Tanner","given":"Evan","email":"","middleInitial":"P.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":569480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harper, Craig A.","contributorId":146944,"corporation":false,"usgs":false,"family":"Harper","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":569481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keyser, Patrick D.","contributorId":146945,"corporation":false,"usgs":false,"family":"Keyser","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":569482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":569476,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morgan, John J.","contributorId":146946,"corporation":false,"usgs":false,"family":"Morgan","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":13409,"text":"Kentucky Department of Fish & Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":569483,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70156694,"text":"70156694 - 2015 - Effects of changing climate on aquatic habitat and connectivity for remnant populations of a wide-ranging frog species in an arid landscape","interactions":[],"lastModifiedDate":"2017-11-22T17:49:36","indexId":"70156694","displayToPublicDate":"2015-08-25T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Effects of changing climate on aquatic habitat and connectivity for remnant populations of a wide-ranging frog species in an arid landscape","docAbstract":"Amphibian species persisting in isolated streams and wetlands in desert environments can be susceptible to low connectivity, genetic isolation, and climate changes. We evaluated the past (1900–1930), recent (1981–2010), and future (2071–2100) climate suitability of the arid Great Basin (USA) for the Columbia spotted frog (Rana luteiventris) and assessed whether changes in surface water may affect connectivity for remaining populations. We developed a predictive model of current climate suitability and used it to predict the historic and future distribution of suitable climates. We then modeled changes in surface water availability at each time period. Finally, we quantified connectivity among existing populations on the basis of hydrology and correlated it with interpopulation genetic distance. We found that the area of the Great Basin with suitable climate conditions has declined by approximately 49% over the last century and will likely continue to decline under future climate scenarios. Climate conditions at currently occupied locations have been relatively stable over the last century, which may explain persistence at these sites. However, future climates at these currently occupied locations are predicted to become warmer throughout the year and drier during the frog's activity period (May – September). Fall and winter precipitation may increase, but as rain instead of snow. Earlier runoff and lower summer base flows may reduce connectivity between neighboring populations, which is already limited. Many of these changes could have negative effects on remaining populations over the next 50–80 years, but milder winters, longer growing seasons, and wetter falls might positively affect survival and dispersal. Collectively, however, seasonal shifts in temperature, precipitation, and stream flow patterns could reduce habitat suitability and connectivity for frogs and possibly other aquatic species inhabiting streams in this arid region.
","language":"English","publisher":"Blackwell Pub. Ltd.","publisherLocation":"Oxford","doi":"10.1002/ece3.1634","usgsCitation":"Pilliod, D., Arkle, R., Robertson, J.M., Murphy, M., and Funk, W.C., 2015, Effects of changing climate on aquatic habitat and connectivity for remnant populations of a wide-ranging frog species in an arid landscape: Ecology and Evolution, v. 5, no. 18, p. 3979-3994, https://doi.org/10.1002/ece3.1634.","productDescription":"16 p.","startPage":"3979","endPage":"3994","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059837","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1634","text":"Publisher Index Page"},{"id":307534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"18","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-26","publicationStatus":"PW","scienceBaseUri":"55dee32fe4b0518e354e080b","chorus":{"doi":"10.1002/ece3.1634","url":"http://dx.doi.org/10.1002/ece3.1634","publisher":"Wiley-Blackwell","authors":"Pilliod David S., Arkle Robert S., Robertson Jeanne M., Murphy Melanie A., Funk W. Chris","journalName":"Ecology and Evolution","publicationDate":"8/26/2015","auditedOn":"10/2/2015"},"contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":147050,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":570105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arkle, Robert S. 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":147051,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert S.","email":"rarkle@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":570106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Jeanne M.","contributorId":147052,"corporation":false,"usgs":false,"family":"Robertson","given":"Jeanne","email":"","middleInitial":"M.","affiliations":[{"id":16778,"text":"Biology Department, California State University Northbridge","active":true,"usgs":false}],"preferred":false,"id":570107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Melanie","contributorId":88239,"corporation":false,"usgs":true,"family":"Murphy","given":"Melanie","affiliations":[],"preferred":false,"id":570109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":570108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156607,"text":"70156607 - 2015 - Loss of eelgrass in Casco Bay, Maine, linked to Green Crab disturbance","interactions":[],"lastModifiedDate":"2015-08-25T11:24:14","indexId":"70156607","displayToPublicDate":"2015-08-25T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Loss of eelgrass in Casco Bay, Maine, linked to Green Crab disturbance","docAbstract":"Over half of the Zostera marina (Eelgrass) cover disappeared from Casco Bay, ME, largely between 2012 and 2013. Eelgrass decline coincided with a population explosion of the invasive crab Carcinus maenas (European Green Crab). Green Crabs have been found to damage Eelgrass in Atlantic Canada through foraging activity, but destruction of established beds had not been documented in Maine. My objective was to determine whether loss of Eelgrass from Casco Bay was related to Green Crab disturbance. In September 2013, I transplanted Eelgrass shoots inside and outside of replicate Green Crab exclosures in a formerly vegetated area of upper Casco Bay. Following 26 d, mean survival of Eelgrass inside the exclosures was 82% and outside the exclosures was 24%. The mean plastochrone interval (time between formation of 2 successive leaves) of undamaged shoots was the same inside and outside the exclosures, and was comparable to published values from healthy Eelgrass beds in New England. Results implicate Green Crab bioturbation as a leading cause of Eelgrass loss from this system.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.022.0305","usgsCitation":"Neckles, H.A., 2015, Loss of eelgrass in Casco Bay, Maine, linked to Green Crab disturbance: Northeastern Naturalist, v. 22, no. 3, p. 478-500, https://doi.org/10.1656/045.022.0305.","productDescription":"23 P.","startPage":"478","endPage":"500","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2013-08-23","temporalEnd":"2013-10-01","ipdsId":"IP-061283","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":307398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Casco Bay, Maquoit Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.9169921875,\n 43.879087756333\n ],\n [\n -69.927978515625,\n 43.76712702120528\n ],\n [\n -70.1971435546875,\n 43.6291174376414\n ],\n [\n -70.279541015625,\n 43.69766549666678\n ],\n [\n -70.10787963867188,\n 43.85532604754971\n ],\n [\n -69.9169921875,\n 43.879087756333\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-19","publicationStatus":"PW","scienceBaseUri":"55dd83a5e4b0518e354dc713","contributors":{"authors":[{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":569651,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156549,"text":"70156549 - 2015 - Temperate forest health in an era of emerging megadisturbance","interactions":[],"lastModifiedDate":"2015-08-25T09:05:57","indexId":"70156549","displayToPublicDate":"2015-08-25T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Temperate forest health in an era of emerging megadisturbance","docAbstract":"Although disturbances such as fire and native insects can contribute to natural dynamics of forest health, exceptional droughts, directly and in combination with other disturbance factors, are pushing some temperate forests beyond thresholds of sustainability. Interactions from increasing temperatures, drought, native insects and pathogens, and uncharacteristically severe wildfire are resulting in forest mortality beyond the levels of 20th-century experience. Additional anthropogenic stressors, such as atmospheric pollution and invasive species, further weaken trees in some regions. Although continuing climate change will likely drive many areas of temperate forest toward large-scale transformations, management actions can help ease transitions and minimize losses of socially valued ecosystem services.
","language":"English","publisher":"AAAS","doi":"10.1126/science.aaa9933","usgsCitation":"Millar, C., and Stephenson, N.L., 2015, Temperate forest health in an era of emerging megadisturbance: Science, v. 349, no. 6250, p. 823-826, https://doi.org/10.1126/science.aaa9933.","productDescription":"4 p.","startPage":"823","endPage":"826","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067180","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":307382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"349","issue":"6250","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd83a6e4b0518e354dc71e","contributors":{"authors":[{"text":"Millar, Constance I.","contributorId":99005,"corporation":false,"usgs":true,"family":"Millar","given":"Constance I.","affiliations":[],"preferred":false,"id":569463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":569462,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159761,"text":"70159761 - 2015 - Discovery of a novel hepatovirus (Phopivirus of seals) related to human hepatitis A virus","interactions":[],"lastModifiedDate":"2020-08-26T15:16:48.822115","indexId":"70159761","displayToPublicDate":"2015-08-25T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3819,"text":"mBio","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Discovery of a novel hepatovirus (Phopivirus of seals) related to human hepatitis A virus","title":"Discovery of a novel hepatovirus (Phopivirus of seals) related to human hepatitis A virus","docAbstract":"Describing the viral diversity of wildlife can provide interesting and useful insights into the natural history of established human pathogens. In this study, we describe a previously unknown picornavirus in harbor seals (tentatively named phopivirus) that is related to human hepatitis A virus (HAV). We show that phopivirus shares several genetic and phenotypic characteristics with HAV, including phylogenetic relatedness across the genome, a specific and seemingly quiescent tropism for hepatocytes, structural conservation in a key functional region of the type III internal ribosomal entry site (IRES), and a codon usage bias consistent with that of HAV.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/mBio.01180-15","usgsCitation":"Anthony. S.J., St. Leger, J., Liang, E., Hicks, A., Sanchez-Leon, M., Ip, S., Jain, K., Lefkowitch, J.H., Navarrete-Macias, I., Knowles, N., Goldstein, T., Pugliares, K., Rowles, T., and Lipkin, W., 2015, Discovery of a novel hepatovirus (Phopivirus of seals) related to human hepatitis A virus: mBio, v. 6, no. 4, e01180-15, 10 p., https://doi.org/10.1128/mBio.01180-15.","productDescription":"e01180-15, 10 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065018","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":471862,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/mbio.01180-15","text":"Publisher Index Page"},{"id":311613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56505244e4b0f162148c5cf9","contributors":{"authors":[{"text":"Anthony. S.J.","contributorId":150003,"corporation":false,"usgs":false,"family":"Anthony. S.J.","affiliations":[{"id":17885,"text":"Center for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032 (USA)","active":true,"usgs":false}],"preferred":false,"id":580357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"St. Leger, J.A","contributorId":150005,"corporation":false,"usgs":false,"family":"St. Leger","given":"J.A","affiliations":[{"id":17886,"text":"Sea World Parks","active":true,"usgs":false}],"preferred":false,"id":580359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liang, E.","contributorId":150007,"corporation":false,"usgs":false,"family":"Liang","given":"E.","email":"","affiliations":[{"id":17885,"text":"Center for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032 (USA)","active":true,"usgs":false}],"preferred":false,"id":580361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hicks, A.L.","contributorId":150006,"corporation":false,"usgs":false,"family":"Hicks","given":"A.L.","email":"","affiliations":[{"id":17885,"text":"Center for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032 (USA)","active":true,"usgs":false}],"preferred":false,"id":580360,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanchez-Leon, M.D","contributorId":150004,"corporation":false,"usgs":false,"family":"Sanchez-Leon","given":"M.D","email":"","affiliations":[{"id":17885,"text":"Center for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032 (USA)","active":true,"usgs":false}],"preferred":false,"id":580358,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580356,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jain, K.","contributorId":150008,"corporation":false,"usgs":false,"family":"Jain","given":"K.","email":"","affiliations":[],"preferred":false,"id":580392,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lefkowitch, J. H.","contributorId":150009,"corporation":false,"usgs":false,"family":"Lefkowitch","given":"J.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":580393,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Navarrete-Macias, I.","contributorId":80952,"corporation":false,"usgs":true,"family":"Navarrete-Macias","given":"I.","email":"","affiliations":[],"preferred":false,"id":580394,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Knowles, N.","contributorId":61212,"corporation":false,"usgs":true,"family":"Knowles","given":"N.","email":"","affiliations":[],"preferred":false,"id":580395,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Goldstein, T.","contributorId":39620,"corporation":false,"usgs":true,"family":"Goldstein","given":"T.","email":"","affiliations":[],"preferred":false,"id":580396,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Pugliares, K.","contributorId":46355,"corporation":false,"usgs":true,"family":"Pugliares","given":"K.","email":"","affiliations":[],"preferred":false,"id":580397,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Rowles, T.","contributorId":16135,"corporation":false,"usgs":true,"family":"Rowles","given":"T.","affiliations":[],"preferred":false,"id":580398,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Lipkin, W.I.","contributorId":9877,"corporation":false,"usgs":true,"family":"Lipkin","given":"W.I.","email":"","affiliations":[],"preferred":false,"id":580399,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70156290,"text":"cir1411 - 2015 - Review of the USA National Phenology Network","interactions":[],"lastModifiedDate":"2015-09-11T10:30:24","indexId":"cir1411","displayToPublicDate":"2015-08-24T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1411","title":"Review of the USA National Phenology Network","docAbstract":"In January 2014, leadership from the U.S. Geological Survey (USGS) Ecosystems Mission Area commissioned a review of the USA National Phenology Network (USA–NPN) Program. The Ecosystems Mission Area has a key stake in the USA–NPN, providing both supervision of its Director and most of the appropriated funds. The products and objectives of the program are relevant to six of the seven USGS Mission Areas as well as to at least four Department of the Interior (DOI) bureaus.
\nA nine-person panel of reviewers, with representatives from the USGS, other Federal agencies, and academia, was convened to provide advice and recommendations to USGS leadership. Specifically, the panel was asked to assess the science utility of having a National Phenology Network; to consider USGS science mission and DOI management needs served by the USA–NPN; and to consider the utility of the USA–NPN to other Federal agency science missions or management needs (including the National Science Foundation [NSF] and university research funded by the NSF and other government agencies).
\nThis report summarizes the panel’s findings and offers five recommendations for USGS leadership:
\n1. Commit to stable USA–NPN funding and increase accountability.
\n2. Establish a Federal Steering Committee, led by the USGS, and a separate Scientific Phenology User Group.
\n3. Emphasize continental-scale phenology data and information.
\n4. Formalize volunteer engagement in phenology data collection.
\n5. Integrate phenology information into USGS science.
\nThe panel generally affirms the value of the USA–NPN program and finds that the program is successfully meeting the needs of its stakeholders, including the USGS. However, the USGS needs to be more engaged in the program, providing leadership and setting priorities for the future. The USA–NPN, in turn, needs to deliver more clearly defined, DOI-relevant, USGS-integrated, data product lines that have the broadest possible spatial and temporal scope to meet user needs across the United States.
\nThe panel recommends that the USA–NPN National Coordinating Office (NCO) establish an implementation plan that addresses all of the panel recommendations, with priorities, timelines, and assumptions to move the program forward successfully.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1411","usgsCitation":"Glynn, P.D., and Owen, T.W., eds., 2015, Review of the USA National Phenology Network: U.S. Geological Survey Circular 1411, 27 p., https://dx.doi.org/10.3133/cir1411.","productDescription":"iii, 27 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064225","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":306901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1411/coverthb.jpg"},{"id":306989,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1411/circ1411.pdf","text":"Report","size":"3.61 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1411"}],"contact":"Executive Director
USA National Phenology Network
http://www.usanpn.org
Digital flood-inundation maps for an 8.9-mile reach of the St. Marys River at Decatur, Indiana, were developed by the U.S. Geological Survey (USGS), in cooperation with the Indiana Office of Community and Rural Affairs. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site (http://water.usgs.gov/osw/flood_inundation/), depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) of the St. Marys River at Decatur (USGS station number 04181500). The maps are useful for estimating near-real-time areas of inundation by referencing concurrent USGS streamgage information at http://waterdata.usgs.gov/. In addition, the streamgage information was provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service flood warning system (http:/water.weather.gov/ahps/). NWS-forecasted peak-stage information may be used in conjunction with the maps developed during this study to show predicted areas of flood inundation.
\nDuring this study, flood profiles were computed for the stream reach by means of a one-dimensional, step-backwater model. The model was calibrated by using the stage-discharge relation for the streamgage at St. Marys River at Decatur. The hydraulic model was used to compute 18 water-surface profiles for flood stages varied at 1-foot (ft) intervals and ranging from approximately bankfull (13 ft above gage datum) to greater than the highest recorded water level at the streamgage. To delineate the area of flood inundation for each modeled water level, maps were constructed in a geographic information system by combining the simulated water-surface profiles with a digital-elevation model derived from light detection and ranging (lidar) data. Estimated flood-inundation boundaries along each simulated profile were developed using HEC–GeoRAS software.
\nThe availability of these maps and associated Web mapping tools, along with the current river stage from USGS streamgages and forecasted flood stages from the NWS, provides emergency managers and residents with information that may be critical for flood-emergency planning and flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155099","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Strauch, K.R., 2015, Flood-inundation maps for the St. Marys River at Decatur, Indiana: U.S. Geological Survey Scientific Investigations Report 2015–5099, 8 p., https://dx.doi.org/10.3133/sir20155099.","productDescription":"Report: iv, 8 p.; Metadata; Raw Data","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-061185","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":308417,"rank":3,"type":{"id":19,"text":"Raw Data"},"url":"https://pubs.usgs.gov/sir/2015/5099/downloads/sir2015-5099_grids.zip","text":"SIR 2015-5099 - All Grid Files","size":"38.4 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5099"},{"id":308418,"rank":4,"type":{"id":19,"text":"Raw Data"},"url":"https://pubs.usgs.gov/sir/2015/5099/downloads/sir2015-5099_shapefiles.zip","text":"SIR 2015-5099 - All Shape Files","size":"1.43 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5099"},{"id":307017,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5099/sir20155099.pdf","text":"Report","size":"1.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5099"},{"id":307016,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5099/coverthb.jpg"}],"country":"United States","state":"Indiana","county":"Adams","city":"Decatur","otherGeospatial":"St. Mary's River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.98268127441406,\n 40.897684312779774\n ],\n [\n -85.01117706298828,\n 40.869131967913475\n ],\n [\n -84.94869232177734,\n 40.82316279497129\n ],\n [\n -84.9074935913086,\n 40.80133575979201\n ],\n [\n -84.89959716796875,\n 40.7958778790764\n ],\n [\n -84.87419128417969,\n 40.817446884558805\n ],\n [\n -84.98268127441406,\n 40.897684312779774\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana Water Science Center
5957 Lakeside Blvd
Indianapolis, IN 46278
http://in.water.usgs.gov/
Daily records of streamflow are essential to understanding hydrologic systems and managing the interactions between human and natural systems. Many watersheds and locations lack streamgages to provide accurate and reliable records of daily streamflow. In such ungaged watersheds, statistical tools and rainfall-runoff models are used to estimate daily streamflow. Previous work compared 19 different techniques for predicting daily streamflow records in the southeastern United States. Here, five of the better-performing methods are compared in a different hydroclimatic region of the United States, in Iowa. The methods fall into three classes: (1) drainage-area ratio methods, (2) nonlinear spatial interpolations using flow duration curves, and (3) mechanistic rainfall-runoff models. The first two classes are each applied with nearest-neighbor and map-correlated index streamgages. Using a threefold validation and robust rank-based evaluation, the methods are assessed for overall goodness of fit of the hydrograph of daily streamflow, the ability to reproduce a daily, no-fail storage-yield curve, and the ability to reproduce key streamflow statistics. As in the Southeast study, a nonlinear spatial interpolation of daily streamflow using flow duration curves is found to be a method with the best predictive accuracy. Comparisons with previous work in Iowa show that the accuracy of mechanistic models with at-site calibration is substantially degraded in the ungaged framework.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155089","collaboration":"Prepared in cooperation with the Department of the Interior WaterSMART Program","usgsCitation":"Farmer, W.H., Knight, R.R., Eash, D.A., Hutchinson, K.J., Linhart, S.M., Christiansen, D.E., Archfield, S.A., Over, T.M., and Kiang, J.E., 2015, Evaluation of statistical and rainfall-runoff models for predicting historical daily streamflow time series in the Des Moines and Iowa River watersheds: U.S. Geological Survey Scientific Investigations Report 2015–5089, 34 p., https://dx.doi.org/10.3133/sir20155089.","productDescription":"vii, 34 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064014","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":307083,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5089/sir20155089.pdf","text":"Report","size":"3.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5089"},{"id":307082,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5089/coverthb.jpg"}],"country":"United States","state":"Iowa, Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.39404296875,\n 44.59046718130883\n ],\n [\n -96.492919921875,\n 43.74728909225906\n ],\n [\n -96.70166015624999,\n 43.5326204268101\n ],\n [\n -96.778564453125,\n 43.01268088642034\n ],\n [\n -96.416015625,\n 42.3016903282445\n ],\n [\n -96.1962890625,\n 41.80407814427237\n ],\n [\n -96.1083984375,\n 41.28606238749825\n ],\n [\n -95.91064453125,\n 40.65563874006118\n ],\n [\n -95.8447265625,\n 40.57224011776902\n ],\n [\n -95.394287109375,\n 40.56389453066509\n ],\n [\n -94.04296874999999,\n 40.58058466412764\n ],\n [\n -92.79052734375,\n 40.54720023441049\n ],\n [\n -91.483154296875,\n 40.56389453066509\n ],\n [\n -91.16455078125,\n 40.613952441166596\n ],\n [\n -90.911865234375,\n 40.82212357516945\n ],\n [\n -90.791015625,\n 41.1455697310095\n ],\n [\n -90.54931640625,\n 41.36031866306708\n ],\n [\n -90.19775390625,\n 41.599013054830216\n ],\n [\n -89.97802734375,\n 41.95949009892465\n ],\n [\n -90.186767578125,\n 42.25291778330197\n ],\n [\n -90.72509765625,\n 42.771211138625894\n ],\n [\n -90.977783203125,\n 43.068887774169625\n ],\n [\n -91.087646484375,\n 43.35713822211053\n ],\n [\n -91.12060546875,\n 43.61221676817573\n ],\n [\n -91.29638671875,\n 44.01652134387754\n ],\n [\n -91.73583984374999,\n 44.34742225636393\n ],\n [\n -91.97753906249999,\n 44.52001001133986\n ],\n [\n -92.142333984375,\n 44.55916341529184\n ],\n [\n -96.39404296875,\n 44.59046718130883\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Office of Surface Water
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA, 20192
http://water.usgs.gov/osw/
Land use and climate change occur simultaneously around the globe. Fully understanding their separate and combined effects requires a mechanistic understanding at the local scale where their effects are ultimately realized. Here we applied an individual-based model of fish population dynamics to evaluate the role of local stream variability in modifying responses of Coastal Cutthroat Trout (Oncorhynchus clarkii clarkii) to scenarios simulating identical changes in temperature and stream flows linked to forest harvest, climate change, and their combined effects over six decades. We parameterized the model for four neighboring streams located in a forested headwater catchment in northwestern Oregon, USA with multi-year, daily measurements of stream temperature, flow, and turbidity (2007–2011), and field measurements of both instream habitat structure and three years of annual trout population estimates. Model simulations revealed that variability in habitat conditions among streams (depth, available habitat) mediated the effects of forest harvest and climate change. Net effects for most simulated trout responses were different from or less than the sum of their separate scenarios. In some cases, forest harvest countered the effects of climate change through increased summer flow. Climate change most strongly influenced trout (earlier fry emergence, reductions in biomass of older trout, increased biomass of young-of-year), but these changes did not consistently translate into reductions in biomass over time. Forest harvest, in contrast, produced fewer and less consistent responses in trout. Earlier fry emergence driven by climate change was the most consistent simulated response, whereas survival, growth, and biomass were inconsistent. Overall our findings indicate a host of local processes can strongly influence how populations respond to broad scale effects of land use and climate change.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0135334","usgsCitation":"Penaluna, B.E., Dunham, J., Railsback, S., Arismendi, I., Johnson, S.L., Bilby, R., Safeeq, M., and Skaugset, A.E., 2015, Local variability mediates vulnerability of trout populations to land use and climate change: PLoS ONE, v. 8, no. 10, e0135334: 20 p., https://doi.org/10.1371/journal.pone.0135334.","productDescription":"e0135334: 20 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059556","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471863,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0135334","text":"Publisher Index Page"},{"id":307212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Gus Creek, Pothole Creek, Rock Creek, Upper Mainstem Trask","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.01367187499999,\n 46.2330529447983\n ],\n [\n -122.92053222656249,\n 46.14178273759234\n ],\n [\n -122.73925781250001,\n 45.64092778836502\n ],\n [\n -122.398681640625,\n 45.54483149242463\n ],\n [\n -122.01416015625,\n 45.62172169252446\n ],\n [\n -121.62963867187499,\n 45.744526980468436\n ],\n [\n -121.04736328125,\n 45.62172169252446\n ],\n [\n -120.574951171875,\n 45.73685954736049\n ],\n [\n -120.21240234375001,\n 45.537136680398596\n ],\n [\n -119.4873046875,\n 44.66865287227321\n ],\n [\n -119.091796875,\n 43.866218006556394\n ],\n [\n -120.95947265624999,\n 43.58039085560786\n ],\n [\n -122.76123046875,\n 43.40504748787035\n ],\n [\n -123.70605468750001,\n 43.40504748787035\n ],\n [\n -124.1455078125,\n 43.992814500489914\n ],\n [\n -124.01367187499999,\n 46.2330529447983\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-21","publicationStatus":"PW","scienceBaseUri":"55dc321de4b0518e354d0c36","contributors":{"authors":[{"text":"Penaluna, Brooke E.","contributorId":104817,"corporation":false,"usgs":true,"family":"Penaluna","given":"Brooke","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":569204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":569203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Railsback, Steve F.","contributorId":68449,"corporation":false,"usgs":true,"family":"Railsback","given":"Steve F.","affiliations":[],"preferred":false,"id":569205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arismendi, Ivan","contributorId":70661,"corporation":false,"usgs":true,"family":"Arismendi","given":"Ivan","affiliations":[],"preferred":false,"id":569206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Sherri L.","contributorId":91757,"corporation":false,"usgs":true,"family":"Johnson","given":"Sherri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":569207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bilby, Robert E","contributorId":146867,"corporation":false,"usgs":false,"family":"Bilby","given":"Robert E","affiliations":[{"id":16757,"text":"Oregon State Univ.","active":true,"usgs":false}],"preferred":false,"id":569208,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Safeeq, Mohammad 0000-0003-0529-3925","orcid":"https://orcid.org/0000-0003-0529-3925","contributorId":77814,"corporation":false,"usgs":false,"family":"Safeeq","given":"Mohammad","email":"","affiliations":[{"id":6641,"text":"University of California at Merced","active":true,"usgs":false}],"preferred":false,"id":569209,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Skaugset, Arne E.","contributorId":145929,"corporation":false,"usgs":false,"family":"Skaugset","given":"Arne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":569210,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70148660,"text":"pp1815 - 2015 - Sea-level rise modeling handbook: Resource guide for coastal land managers, engineers, and scientists","interactions":[],"lastModifiedDate":"2015-08-24T10:39:47","indexId":"pp1815","displayToPublicDate":"2015-08-24T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1815","title":"Sea-level rise modeling handbook: Resource guide for coastal land managers, engineers, and scientists","docAbstract":"Global sea level is rising and may accelerate with continued fossil fuel consumption from industrial and population growth. In 2012, the U.S. Geological Survey conducted more than 30 training and feedback sessions with Federal, State, and nongovernmental organization (NGO) coastal managers and planners across the northern Gulf of Mexico coast to evaluate user needs, potential benefits, current scientific understanding, and utilization of resource aids and modeling tools focused on sea-level rise. In response to the findings from the sessions, this sea-level rise modeling handbook has been designed as a guide to the science and simulation models for understanding the dynamics and impacts of sea-level rise on coastal ecosystems. The review herein of decision-support tools and predictive models was compiled from the training sessions, from online research, and from publications. The purpose of this guide is to describe and categorize the suite of data, methods, and models and their design, structure, and application for hindcasting and forecasting the potential impacts of sea-level rise in coastal ecosystems. The data and models cover a broad spectrum of disciplines involving different designs and scales of spatial and temporal complexity for predicting environmental change and ecosystem response. These data and models have not heretofore been synthesized, nor have appraisals been made of their utility or limitations. Some models are demonstration tools for non-experts, whereas others require more expert capacity to apply for any given park, refuge, or regional application. A simplified tabular context has been developed to list and contrast a host of decision-support tools and models from the ecological, geological, and hydrological perspectives. Criteria were established to distinguish the source, scale, and quality of information input and geographic datasets; physical and biological constraints and relations; datum characteristics of water and land components; utility options for setting sea-level rise and climate change scenarios; and ease or difficulty of storing, displaying, or interpreting model output. Coastal land managers, engineers, and scientists can benefit from this synthesis of tools and models that have been developed for projecting causes and consequences of sea-level change on the landscape and seascape.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1815","collaboration":"Prepared in cooperation with the Department of the Interior Southeast Climate Science Center","usgsCitation":"Doyle, T.W., Chivoiu, Bogdan, and Enwright, N.M., 2015, Sea-level rise modeling handbook—Resource guide for coastal land managers, engineers, and scientists: U.S. Geological Survey Professional Paper 1815, 76 p.,\nhttps://dx.doi.org/10.3133/pp1815.","productDescription":"ix, 76 p.","numberOfPages":"89","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-045332","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":307080,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1815/pp1815.pdf","text":"Report","size":"7.47","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1815"},{"id":307079,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1815/coverthb.jpg"}],"contact":"Director, National Wetlands Research Center
U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506
http://www.nwrc.usgs.gov/
MC1 was designed for application to large regions that include a wide range in elevation and topography, thereby encompassing a broad range in climates and vegetation types. The authors applied the dynamic global vegetation model MC1 to Wind Cave National Park (WCNP) in the southern Black Hills of South Dakota, USA, on the ecotone between ponderosa pine forest to the northwest and mixed-grass prairie to the southeast. They calibrated MC1 to simulate adequate fire effects in the warmer southeastern parts of the park to ensure grasslands there, while allowing forests to grow to the northwest, and then simulated future vegetation with climate projections from three GCMs. The results suggest that fire frequency, as affected by climate and/or human intervention, may be more important than the direct effects of climate in determining the distribution of ponderosa pine in the Black Hills region, both historically and in the future.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Global Vegetation Dynamics: Concepts and Applications in the MC1 Model","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Hoboken, NJ","doi":"10.1002/9781119011705.ch8","usgsCitation":"King, D.A., Bachelet, D.M., and Symstad, A.J., 2015, Application of MC1 to Wind Cave National Park: Lessons from a small-scale study: Chapter 8, chap. of Global Vegetation Dynamics: Concepts and Applications in the MC1 Model, p. 115-134, https://doi.org/10.1002/9781119011705.ch8.","productDescription":"20 p.","startPage":"115","endPage":"134","ipdsId":"IP-056288","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":340188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Wind Cave National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.49498748779297,\n 43.520422949678874\n ],\n [\n -103.49533081054688,\n 43.51768440153494\n ],\n [\n -103.47335815429688,\n 43.518182328624455\n ],\n [\n -103.47335815429688,\n 43.52092085416909\n ],\n [\n -103.46134185791014,\n 43.520671902437606\n ],\n [\n -103.46134185791014,\n 43.53510940481582\n ],\n [\n -103.44108581542969,\n 43.535358296966415\n ],\n [\n -103.4414291381836,\n 43.5861108148262\n ],\n [\n -103.41636657714844,\n 43.58635949637695\n ],\n [\n -103.41636657714844,\n 43.56496912804994\n ],\n [\n -103.3816909790039,\n 43.56521789692485\n ],\n [\n -103.38237762451172,\n 43.56770552917119\n ],\n [\n -103.36143493652344,\n 43.56845179881218\n ],\n [\n -103.36143493652344,\n 43.59332216268745\n ],\n [\n -103.34220886230469,\n 43.594068114876535\n ],\n [\n -103.3425521850586,\n 43.60799085850201\n ],\n [\n -103.33637237548827,\n 43.60898521690245\n ],\n [\n -103.3377456665039,\n 43.62638382791396\n ],\n [\n -103.35250854492186,\n 43.6256382764122\n ],\n [\n -103.35182189941405,\n 43.6298629459909\n ],\n [\n -103.44074249267578,\n 43.6298629459909\n ],\n [\n -103.44795227050781,\n 43.635329724674484\n ],\n [\n -103.45275878906249,\n 43.63831139435743\n ],\n [\n -103.45619201660156,\n 43.64054754952543\n ],\n [\n -103.47919464111328,\n 43.63980217371652\n ],\n [\n -103.50357055664062,\n 43.632844886919436\n ],\n [\n -103.50597381591797,\n 43.558003182460084\n ],\n [\n -103.52245330810547,\n 43.541082532902564\n ],\n [\n -103.52313995361327,\n 43.52166770320007\n ],\n [\n -103.49498748779297,\n 43.520422949678874\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-21","publicationStatus":"PW","scienceBaseUri":"58ff0ea2e4b006455f2d61da","contributors":{"authors":[{"text":"King, David A.","contributorId":7160,"corporation":false,"usgs":true,"family":"King","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":571979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachelet, Dominique M.","contributorId":89042,"corporation":false,"usgs":true,"family":"Bachelet","given":"Dominique","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":571980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":147543,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":571978,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160083,"text":"70160083 - 2015 - Diet shifts by planktivorous and benthivorous fishes in northern Lake Michigan in response to ecosystem changes","interactions":[],"lastModifiedDate":"2015-12-11T16:00:36","indexId":"70160083","displayToPublicDate":"2015-08-21T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Diet shifts by planktivorous and benthivorous fishes in northern Lake Michigan in response to ecosystem changes","docAbstract":"In Lake Michigan, diets of planktivorous and benthivorous fishes have varied over the past decades, in part owing to food web changes. To update diet information and compare them to a similar effort in 1994–1995, we analyzed the diets of seven benthivorous and planktivorous fish species collected along two northern Lake Michigan transects that spanned nearshore (18 m), intermediate (46 m), and offshore (91, 110, 128 m) bottom depths during spring, summer, and autumn of 2010. Calanoid copepods (e.g., Limnocalanus macrurus, Leptodiaptomus sicilis, and Senecella calanoides) comprised a majority of the diets in at least one season for all sizes of alewife (Alosa pseudoharengus), bloater (Coregonus hoyi), and rainbow smelt (Osmerus mordax). Similarly, Mysis diluviana was the highest proportion in at least one season for large sizes of alewife, bloater, and rainbow smelt, as well as slimy sculpin (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii). The diets of the remaining two species, ninespine stickleback (Pungitius pungitius) and round goby (Neogobius melanostomus), were dominated by herbivorous cladocerans or dreissenid mussels, respectively. Interspecific diet overlap was minimal at 18 and 46 m. In offshore waters, however, overlap was relatively high, driven by frequent consumption of Mysis. Relative to 1994–1995, 2010 diets revealed increased feeding on calanoid copepods and Mysis, with corresponding declining consumption of Diporeia spp. and herbivorous cladocerans. Relative diet weight was also higher in 1994–1995 than in 2010 for small and large bloater and both sculpin species. We hypothesize that the shifts in diets are reflective of community-level changes in invertebrate prey availability.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2015.07.011","usgsCitation":"Bunnell, D., Davis, B.M., Chriscinske, M.A., Keeler, K.M., and Mychek-Londer, J., 2015, Diet shifts by planktivorous and benthivorous fishes in northern Lake Michigan in response to ecosystem changes: Journal of Great Lakes Research, v. 41, no. 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2015 - Estimating the effects of habitat and biological interactions in an avian community","interactions":[],"lastModifiedDate":"2015-08-20T12:59:12","indexId":"70156347","displayToPublicDate":"2015-08-20T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the effects of habitat and biological interactions in an avian community","docAbstract":"We used repeated sightings of individual birds encountered in community-level surveys to investigate the relative roles of habitat and biological interactions in determining the distribution and abundance of each species. To analyze these data, we developed a multispecies N-mixture model that allowed estimation of both positive and negative correlations between abundances of different species while also estimating the effects of habitat and the effects of errors in detection of each species. Using a combination of single- and multispecies N-mixture modeling, we examined for each species whether our measures of habitat were sufficient to account for the variation in encounter histories of individual birds or whether other habitat variables or interactions with other species needed to be considered. In the community that we studied, habitat appeared to be more influential than biological interactions in determining the distribution and abundance of most avian species. Our results lend support to the hypothesis that abundances of forest specialists are negatively affected by forest fragmentation. Our results also suggest that many species were associated with particular types of vegetation as measured by structural attributes of the forests. The abundances of 6 of the 73 species observed in our study were strongly correlated. These species included large birds (American Crow and Red-winged Blackbird) that forage on the ground in open habitats and small birds (Red-eyed Vireo, House Wren, Hooded Warbler, and Prairie Warbler) that are associated with dense shrub cover. Species abundances were positively correlated within each size group and negatively correlated between groups. Except for the American Crow, which preys on eggs and nestlings of small song birds, none of the other 5 species is known to display direct interactions, so we suspect that the correlations may have been associated with species-specific responses to habitat components not adequately measured by our covariates.
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A.","contributorId":146730,"corporation":false,"usgs":false,"family":"Askins","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":16738,"text":"Biology Department, Connecticut College, New London, CT","active":true,"usgs":false}],"preferred":false,"id":568807,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155895,"text":"ds949 - 2015 - Ground-survey and water-quality data for selected wetlands on or near the Lower Brule Indian Reservation in South Dakota, 2012-13","interactions":[],"lastModifiedDate":"2017-10-12T20:02:38","indexId":"ds949","displayToPublicDate":"2015-08-20T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"949","title":"Ground-survey and water-quality data for selected wetlands on or near the Lower Brule Indian Reservation in South Dakota, 2012-13","docAbstract":"Numerous lakes, ponds, and wetlands are located within the Lower Brule Indian Reservation. Wetlands are an important resource providing aquatic habitat for plants and animals, and acting as a natural water filtration system. Several of the wetlands on or near the reservation are of particular interest, but information on the physical and biological integrity of these wetlands was needed to provide a base-line reference when planning for future water management needs. A reconnaissance-level study of selected wetlands on and near the Lower Brule Indian Reservation was completed in 2012–13 by the U.S. Geological Survey in cooperation with the Lower Brule Sioux Tribe using ground surveys and water-quality analyses. Ground surveys of six wetland areas (Dorman Slough, Little Bend Wetlands, Miller Pond, Potter Slough, an unnamed slough, and West Brule Community wetlands) were completed to map land, water, vegetation, and man-made features of the selected wetland areas using real-time kinematic global navigation satellite systems equipment. Water samples were collected from four of the selected wetlands. Two separate waterbodies were sampled at one of the wetlands for a total of five sampling locations. Water samples were analyzed for physical properties, selected inorganics, metals, nutrients, and suspended sediment. Concentrations of calcium, sodium, and sulfate were greater at the two wetland sites fed by ground water, compared to the wetland sites fed by surface runoff.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds949","collaboration":"Prepared in cooperation with the Lower Brule Sioux Tribe","usgsCitation":"Neitzert, K.M., and Thompson, R.F., 2015, Ground-survey and water-quality data for selected wetlands on or near the Lower Brule Indian Reservation in South Dakota, 2012–13: U.S. Geological Survey Data Series Report 949, 21 p., https://dx.doi.org/10.3133/ds949.","productDescription":"v, 21 p.; Database","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-062797","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":306899,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0949/coverthb.jpg"},{"id":306900,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0949/ds949.pdf","text":"Report","size":"8.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 949"},{"id":306978,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://water.usgs.gov/GIS/dsdl/ds949_LBWetlands_gdb.zip","text":"Geodatabase","description":"Geodatabase"}],"country":"United States","state":"South Dakota","otherGeospatial":"Lower Brule Indian Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.12252807617188,\n 43.875128129336716\n ],\n [\n -100.12252807617188,\n 44.33956524809713\n ],\n [\n -99.24362182617186,\n 44.33956524809713\n ],\n [\n -99.24362182617186,\n 43.875128129336716\n ],\n [\n -100.12252807617188,\n 43.875128129336716\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, South Dakota Water Science Center
U.S. Geological Survey
1608 Mountain View Road
Rapid City, South Dakota 57702
http://sd.water.usgs.gov/
Digital flood-inundation maps for a 7.7-mile reach of the White River at Petersburg, Indiana, were created by the U.S. Geological Survey (USGS), in cooperation with the Indiana Office of Community and Rural Affairs. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at White River at Petersburg, Ind. (03374000). Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (PTRI3).
\nFlood profiles were computed for the White River at Petersburg reach by means of a one-dimensional step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current stage-discharge relations at the White River at Petersburg, Ind., and the White River above Petersburg, Ind. (03373890), gages. The calibrated hydraulic model was then used to compute 18 water-surface profiles for flood stages at approximately 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a geographic information system digital elevation model to delineate the area flooded at each water level.
\nThe availability of these maps along with Internet information regarding current stage from the USGS streamgage at White River at Petersburg, Ind., and forecasted stream stages from the NWS provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155107","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Fowler, K.K., 2015, Flood-inundation maps for the White River at Petersburg, Indiana: U.S. Geological Survey Scientific Investigations Report 2015–5107, 11 p., https://dx.doi.org/10.3133/sir20155107.","productDescription":"Report: iv, 11 p.: Metadata: Readme: Spatial Data","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-063334","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":306743,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5107/coverthb.jpg"},{"id":306746,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5107/downloads/shapefile/shapefile.zip","text":"Shapefiles","size":"4.51 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5107"},{"id":306744,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5107/sir20155107.pdf","text":"Report","size":"6.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5107"},{"id":306747,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5107/downloads/metadata_depth-grids.txt","text":"Metadata Depth Grids","size":"15.4 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5107"},{"id":306745,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5107/downloads/depth_grids/depth_grids.zip","text":"Depth Grids","size":"88.8 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5107"},{"id":306748,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5107/downloads/metadata_shapefiles.txt","text":"Metadata Shapefiles","size":"15.9 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5107"},{"id":306809,"rank":7,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2015/5107/downloads/readme.pdf","text":"Information about the report - readme file","size":"26.3 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5107"}],"country":"United States","state":"Indiana","city":"Petersburg","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.34010696411133,\n 38.50666906026307\n ],\n [\n -87.34010696411133,\n 38.54198948702892\n ],\n [\n -87.22217559814453,\n 38.54198948702892\n ],\n [\n -87.22217559814453,\n 38.50666906026307\n ],\n [\n -87.34010696411133,\n 38.50666906026307\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana Water Science Center
5957 Lakeside Blvd
Indianapolis, IN 46278
http://in.water.usgs.gov/
Digital flood-inundation maps for a 12.4-mile reach of Big Creek that extends from 260 feet above the McGinnis Ferry Road bridge to the U.S. Geological Survey (USGS) streamgage at Big Creek below Hog Wallow Creek at Roswell, Georgia (02335757), were developed by the USGS in cooperation with the cities of Alpharetta and Roswell, Georgia. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Big Creek near Alpharetta, Georgia (02335700). Real-time stage information from this USGS streamgage may be obtained at http://waterdata.usgs.gov/ and can be used in conjunction with these maps to estimate near real-time areas of inundation. The National Weather Service (NWS) is incorporating results from this study into the Advanced Hydrologic Prediction Service (AHPS) flood-warning system http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs for many streams where the USGS operates streamgages and provides flow data. The forecasted peak-stage information for the USGS streamgage at Big Creek near Alpharetta (02335700), available through the AHPS Web site, may be used in conjunction with the maps developed for this study to show predicted areas of flood inundation.
\nA one-dimensional step-backwater model was developed using the U.S. Army Corps of Engineers HEC–RAS software for Big Creek and was used to compute flood profiles for a 12.4-mile reach of Big Creek. The model was calibrated using the most current (2015) stage-discharge relations at two USGS streamgages on Big Creek: Big Creek near Alpharetta (02335700) and Big Creek below Hog Wallow Creek at Roswell (02335757). The hydraulic model was then used to simulate 19 water-surface profiles at 0.5-foot intervals at the Big Creek near Alpharetta streamgage. The profiles ranged from just above bankfull stage (6.0 feet) to approximately 1.95 feet above the highest recorded water level at the Alpharetta streamgage site (15.0 feet). The simulated water-surface profiles were then combined with a geographic information system digital elevation model—derived from light detection and ranging data having a 3.0-foot horizontal resolution—to delineate the area flooded at each 0.5-foot interval of stream stage.
\nThe availability of these maps, when combined with real-time stage information from USGS streamgages and forecasted stream stage from the NWS, provides emergency management personnel and residents with critical information during flood-response activities such as evacuations and road closures, in addition to post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3338","collaboration":"Prepared in cooperation with the cities of Alpharetta, and Roswell, Georgia","usgsCitation":"Musser, J.W., 2015, Flood-inundation maps for Big Creek from the McGinnis Ferry Road bridge to the confluence of Hog Wallow, Alpharetta and Roswell, Georgia: U.S. Geological Survey Scientific Investigations Map 3338, 19 sheets, 10-p. pamphlet, https://dx.doi.org/10.3133/sim3338.","productDescription":"Report: vi, 10 p.; 19 Sheets: 29.0 x 30.0 inches; Metadata; Raw Data","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065512","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":306705,"rank":21,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3338/pdf/sim3338sheet19.pdf","text":"Sheet19 - Gage height of 15.0 feet and an elevation of 975.6 feet at streamgage 02335700","size":"18.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3338"},{"id":306704,"rank":20,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3338/pdf//sim3338sheet18.pdf","text":"Sheet18 - 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Inundation Layer Metadata","size":"71 KB","linkFileType":{"id":5,"text":"html"},"description":"SIM 3338"},{"id":306639,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3338/pdf/sim3338pamphlet.pdf","text":"Report - SIM 3338 Pamphlet","size":"1.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3338"},{"id":306637,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3338/images/coverthb.jpg"},{"id":306692,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3338/pdf/sim3338sheet07.pdf","text":"Sheet07 - Gage height of 9.0 feet and an elevation of 969.6 feet at streamgage 02335700","size":"18.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3338"},{"id":306693,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3338/pdf/sim3338sheet08.pdf","text":"Sheet08 - Gage height of 9.5 feet and an elevation of 970.1 feet at streamgage 02335700","size":"18.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3338"},{"id":306691,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3338/pdf/sim3338sheet06.pdf","text":"Sheet06 - Gage height of 8.5 feet and an elevation of 969.1 feet at streamgage 02335700","size":"18.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3338"},{"id":306640,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3338/pdf/sim3338sheet01.pdf","text":"Sheet01 - Gage height of 6.0 feet and an elevation of 966.6 feet at streamgage 02335700","size":"18.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3338"}],"country":"United States","state":"Georgia","city":"Alpharetta, Roswell","otherGeospatial":"Big Creek, Hog Wallow Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.37259674072266,\n 34.00599664251842\n ],\n [\n -84.37259674072266,\n 34.097590747029784\n ],\n [\n -84.2105484008789,\n 34.097590747029784\n ],\n [\n -84.2105484008789,\n 34.00599664251842\n ],\n [\n -84.37259674072266,\n 34.00599664251842\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road
Columbia, SC 29210
http://www.usgs.gov/water/southatlantic/
Mercury (Hg) and selenium (Se) biomagnify in aquatic food webs and are toxic to fish and wildlife. The authors measured Hg and Se in organic matter, invertebrates, and fishes in the Colorado River food web at sites spanning 387 river km downstream of Glen Canyon Dam (AZ, USA). Concentrations were relatively high among sites compared with other large rivers (mean wet wt for 6 fishes was 0.17–1.59 μg g–1 Hg and 1.35–2.65 μg g–1 Se), but consistent longitudinal patterns in Hg or Se concentrations relative to the dam were lacking. Mercury increased (slope = 0.147) with δ15N, a metric of trophic position, indicating biomagnification similar to that observed in other freshwater systems. Organisms regularly exceeded exposure risk thresholds for wildlife and humans (6–100% and 56–100% of samples for Hg and Se, respectfully, among risk thresholds). In the Colorado River, Grand Canyon, Hg and Se concentrations pose exposure risks for fish, wildlife, and humans, and the findings of the present study add to a growing body of evidence showing that remote ecosystems are vulnerable to long-range transport and subsequent bioaccumulation of contaminants. Management of exposure risks in Grand Canyon will remain a challenge, as sources and transport mechanisms of Hg and Se extend far beyond park boundaries. Environ Toxicol Chem2015;9999:1–10
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3077","usgsCitation":"Walters, D.M., E.J. Rosi-Marshall, Kennedy, T., Cross, W., and Baxter, C., 2015, Mercury and selenium accumulation in the Colorado River food web, Grand Canyon, USA: Environmental Toxicology and Chemistry, v. 34, no. 10, p. 2385-2394, https://doi.org/10.1002/etc.3077.","productDescription":"10 p.","startPage":"2385","endPage":"2394","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063131","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471865,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/9601","text":"External Repository"},{"id":306983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.3731689453125,\n 34.92197103616377\n ],\n [\n -114.3731689453125,\n 37.26530995561875\n ],\n [\n -110.74218749999999,\n 37.26530995561875\n ],\n [\n -110.74218749999999,\n 34.92197103616377\n ],\n [\n -114.3731689453125,\n 34.92197103616377\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-01","publicationStatus":"PW","scienceBaseUri":"55d6ec23e4b0518e3546bbf1","contributors":{"authors":[{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":140992,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":547981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"E.J. Rosi-Marshall","contributorId":141018,"corporation":false,"usgs":false,"family":"E.J. Rosi-Marshall","affiliations":[{"id":13654,"text":"Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":547982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":140027,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":547983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, W.F.","contributorId":141019,"corporation":false,"usgs":false,"family":"Cross","given":"W.F.","email":"","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":547984,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baxter, C.V.","contributorId":141020,"corporation":false,"usgs":false,"family":"Baxter","given":"C.V.","email":"","affiliations":[{"id":13656,"text":"Idaho State Univ.","active":true,"usgs":false}],"preferred":false,"id":547985,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148473,"text":"70148473 - 2015 - Evaluation of fisher (Pekania pennanti) restoration in Olympic National Park and the Olympic Recovery Area: 2014 annual progress report","interactions":[],"lastModifiedDate":"2017-11-22T16:07:50","indexId":"70148473","displayToPublicDate":"2015-08-20T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":52,"text":"Natural Resource Data Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2015-804","displayTitle":"Evaluation of fisher (Pekania pennanti) restoration in Olympic National Park and the Olympic Recovery Area: 2014 annual progress report","title":"Evaluation of fisher (Pekania pennanti) restoration in Olympic National Park and the Olympic Recovery Area: 2014 annual progress report","docAbstract":"With the translocation and release of 90 fishers (Pekania pennanti) from British Columbia to Olympic National Park during 2008–2010, the National Park Service and Washington Department of Fish and Wildlife accomplished the first phase of fisher restoration in Washington State. Beginning in 2013, we initiated a new research project to determine the current status of fishers on Washington’s Olympic Peninsula 3–5 years after the releases and evaluate the short-term success of the restoration program. Objectives of the study are to determine the current distribution of fishers and proportion of the recovery area that is currently occupied by fishers, determine several genetic characteristics of the reintroduced population, and determine reproductive success of the founding animals through genetic studies.
During 2014, we continued working with a broad coalition of cooperating agencies, tribes, and nongovernmental organizations (NGO) to collect data on fisher distribution and genetics using noninvasive sampling methods. The primary sampling frame consisted of 157 24-square-kilometer hexagons (hexes) distributed across all major land ownerships within the Olympic Peninsula target survey area. In 2014 we expanded the study by adding 58 more hexes to an expanded study area in response to incidental fisher observations outside of the target area obtained in 2013; 49 hexes were added south and 9 to the east of the target area. During 2014, federal, state, tribal and NGO biologists and volunteers established three baited motion-sensing camera stations, paired with hair snaring devices, in 80 hexes; 69 in the targeted area 11 in the expansion areas. Each paired camera/hair station was left in place for approximately 6 weeks, with three checks on 2-week intervals. We documented fisher presence in 5 of the 80 hexagons, and identified 5 different fishers through a combination of microsatellite DNA analyses and camera detections. All fisher detections were in the target area. These 5 individuals included 2 of the original founding population of 90, 1 of the 2 rescued and rehabilitated kits that were released in 2010, and 1 new recruit to the population (1 individual was not identified). Additionally, we identified more than 40 other species of wildlife at the baited camera stations. We also obtained eight incidental fisher observations through photographs and carcass retrieval.
During 2015, we plan to sample 75 hexagons in the target area and 12 in the expansion area. We plan to sample all unsampled accessible hexes in the target area (26 hexes), and re-sample accessible hexes sampled in 2013 (49 hexes).
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In a nationwide study, at least one neonicotinoid was detected in 53 % of the samples collected, with imidacloprid detected most frequently (37 %), followed by clothianidin (24 %), thiamethoxam (21 %), dinotefuran (13 %), acetamiprid (3 %) and thiacloprid (0 %). Clothianidin and thiamethoxam concentrations were positively related to the percentage of the land use in cultivated crop production and imidacloprid concentrations were positively related to the percentage of urban area within the basin. Additional sampling was also conducted in targeted research areas to complement these national-scale results, including determining: (1) neonicotinoid concentrations during elevated flow conditions in an intensely agricultural region; (2) temporal patterns of neonicotinoids in heavily urbanised basins; (3) neonicotinoid concentrations in agricultural basins in a nationally important ecosystem; and (4) in-stream transport of neonicotinoids near a wastewater treatment plant. Across all study areas, at least one neonicotinoid was detected in 63 % of the 48 streams sampled.
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