Water managers in the Santa Rosa Plain face the challenge of meeting increasing water demand with a combination of Russian River water, which has uncertainties in its future availability; local groundwater resources; and ongoing and expanding recycled water and water from other conservation programs. To address this challenge, the U.S. Geological Survey, in cooperation with the Sonoma County Water Agency, the cities of Cotati, Rohnert Park, Santa Rosa, and Sebastopol, the town of Windsor, the California American Water Company, and the County of Sonoma, undertook development of a fully coupled groundwater and surface-water model to better understand and to help manage the hydrologic resources in the Santa Rosa Plain watershed.
\nThe purpose of this report is to (1) describe the construction and calibration of the fully coupled groundwater and surface-water flow model for the Santa Rosa Plain watershed, referred to as the Santa Rosa Plain hydrologic model; (2) present results from simulation of the Santa Rosa Plain hydrologic model, including water budgets, recharge distributions, streamflow, and the effect of pumping on water-budget components; and (3) present the results from using the model to evaluate the potential hydrologic effects of climate change and variability without pumpage for water years 2011-99 and with projected pumpage for water years 2011-40.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145052","collaboration":"Prepared in cooperation with Sonoma County, Sonoma County Water Agency, City of Santa Rosa, City of Rohnert Park, City of Sebastopol, Town of Windsor, California American Water","usgsCitation":"Woolfenden, L.R., and Nishikawa, T., 2014, Simulation of groundwater and surface-water resources of the Santa Rosa Plain watershed, Sonoma County, California: U.S. Geological Survey Scientific Investigations Report 2014-5052, xxx, 258 p., https://doi.org/10.3133/sir20145052.","productDescription":"xxx, 258 p.","onlineOnly":"Y","ipdsId":"IP-044152","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145052.jpg"},{"id":286373,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5052/"},{"id":286376,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5052/pdf/sir2014-5052.pdf"}],"scale":"250000","projection":"2003 State Plane Projection","country":"United States","state":"California","county":"Sonoma County","otherGeospatial":"Santa Rosa Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.5414,38.1106 ], [ -123.5414,38.8529 ], [ -122.3497,38.8529 ], [ -122.3497,38.1106 ], [ -123.5414,38.1106 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517061e4b05569d805a3a9","contributors":{"authors":[{"text":"Woolfenden, Linda R. 0000-0003-3500-4709 lrwoolfe@usgs.gov","orcid":"https://orcid.org/0000-0003-3500-4709","contributorId":1476,"corporation":false,"usgs":true,"family":"Woolfenden","given":"Linda","email":"lrwoolfe@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nishikawa, Tracy 0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491971,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101829,"text":"70101829 - 2014 - Predicting the effects of climate change on ecosystems and wildlife habitat in northwest Alaska","interactions":[],"lastModifiedDate":"2024-10-09T15:39:27.836914","indexId":"70101829","displayToPublicDate":"2014-04-15T09:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the effects of climate change on ecosystems and wildlife habitat in northwest Alaska","docAbstract":"
We used a modeling framework and a recent ecological land classification and land cover map to predict how ecosystems and wildlife habitat in northwest Alaska might change in response to increasing temperature. Our results suggest modest increases in forest and tall shrub ecotypes in Northwest Alaska by the end of this century thereby increasing habitat for forest-dwelling and shrub-using birds and mammals. Conversely, we predict declines in several more open low shrub, tussock, and meadow ecotypes favored by many waterbird, shorebird, and small mammal species.
","language":"English","publisher":"National Park Service","usgsCitation":"DeGange, A.R., Marcot, B., Lawler, J., Jorgenson, T., and Winfree, R., 2014, Predicting the effects of climate change on ecosystems and wildlife habitat in northwest Alaska: Alaska Park Science, v. 12, no. 2, p. 66-73.","productDescription":"8 p.","startPage":"66","endPage":"73","ipdsId":"IP-046323","costCenters":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"links":[{"id":286353,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287956,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/aps-v12-i2-c12.htm"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.03,64.98 ], [ -166.03,67.03 ], [ -149.79,67.03 ], [ -149.79,64.98 ], [ -166.03,64.98 ] ] ] } } ] }","volume":"12","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"534e46d3e4b0cdc4f9717045","contributors":{"authors":[{"text":"DeGange, Anthony R. tdegange@usgs.gov","contributorId":139765,"corporation":false,"usgs":true,"family":"DeGange","given":"Anthony","email":"tdegange@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":492783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcot, Bruce G.","contributorId":58015,"corporation":false,"usgs":true,"family":"Marcot","given":"Bruce G.","affiliations":[],"preferred":false,"id":492787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawler, James","contributorId":54510,"corporation":false,"usgs":true,"family":"Lawler","given":"James","affiliations":[],"preferred":false,"id":492786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jorgenson, Torre","contributorId":45380,"corporation":false,"usgs":true,"family":"Jorgenson","given":"Torre","affiliations":[],"preferred":false,"id":492785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winfree, Robert","contributorId":33619,"corporation":false,"usgs":true,"family":"Winfree","given":"Robert","email":"","affiliations":[],"preferred":false,"id":492784,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70101828,"text":"70101828 - 2014 - The interactive effects of climate change, riparian management, and a non-native predators on stream-rearing salmon","interactions":[],"lastModifiedDate":"2017-11-24T17:40:46","indexId":"70101828","displayToPublicDate":"2014-04-15T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The interactive effects of climate change, riparian management, and a non-native predators on stream-rearing salmon","docAbstract":"Predicting how climate change is likely to interact with myriad other stressors that threaten species of conservation concern is an essential challenge in aquatic ecosystems. This study provides a framework to accomplish this task in salmon-bearing streams of the northwestern United States, where land-use related reductions in riparian shading have caused changes in stream thermal regimes, and additional warming from projected climate change may result in significant losses of coldwater fish habitat over the next century. Predatory non-native smallmouth bass have also been introduced into many northwestern streams and their range is likely to expand as streams warm, presenting an additional challenge to the persistence of threatened Pacific salmon. The goal of this work was to forecast the interactive effects of climate change, riparian management, and non-native species on stream-rearing salmon, and to evaluate the capacity of restoration to mitigate these effects. We intersected downscaled global climate forecasts with a local-scale water temperature model to predict mid- and end-of-century temperatures in streams in the Columbia River basin; we compared one stream that is thermally impaired due to the loss of riparian vegetation and another that is cooler and has a largely intact riparian corridor. Using the forecasted stream temperatures in conjunction with fish-habitat models, we predicted how stream-rearing Chinook salmon and bass distributions would change as each stream warmed. In the highly modified stream, end-of-century warming may cause near total loss of Chinook salmon rearing habitat and a complete invasion of the upper watershed by bass. In the less modified stream, bass were thermally restricted from the upstream-most areas. In both systems, temperature increases resulted in higher predicted spatial overlap between stream-rearing Chinook salmon and potentially predatory bass in the early summer (2-4-fold increase) and greater abundance of bass. We found that riparian restoration could prevent the extirpation of Chinook salmon from the more altered stream, and could also restrict bass from occupying the upper 31 km of salmon rearing habitat. The proposed methodology and model predictions are critical for prioritizing climate-change adaptation strategies before salmonids are exposed to both warmer water and greater predation risk by non-native species.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0753.1","usgsCitation":"Lawrence, D.J., Stewart-Koster, B., Olden, J., Ruesch, A.S., Torgersen, C., Lawler, J.J., Butcher, D.P., and Crown, J.K., 2014, The interactive effects of climate change, riparian management, and a non-native predators on stream-rearing salmon: Ecological Applications, v. 24, no. 4, p. 895-912, https://doi.org/10.1890/13-0753.1.","productDescription":"18 p.","startPage":"895","endPage":"912","ipdsId":"IP-049655","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473050,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1890/13-0753.1","text":"External Repository"},{"id":286351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Columbia River Basin, John Day River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.3987,44.3985 ], [ -119.3987,45.4026 ], [ -117.9865,45.4026 ], [ -117.9865,44.3985 ], [ -119.3987,44.3985 ] ] ] } } ] }","volume":"24","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"534e46d3e4b0cdc4f9717049","contributors":{"authors":[{"text":"Lawrence, David J.","contributorId":34374,"corporation":false,"usgs":true,"family":"Lawrence","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":492776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart-Koster, Ben","contributorId":77841,"corporation":false,"usgs":true,"family":"Stewart-Koster","given":"Ben","email":"","affiliations":[],"preferred":false,"id":492781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":492779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruesch, Aaron S.","contributorId":26559,"corporation":false,"usgs":true,"family":"Ruesch","given":"Aaron","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":492775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":492778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":492780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Butcher, Don P.","contributorId":80183,"corporation":false,"usgs":true,"family":"Butcher","given":"Don","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":492782,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crown, Julia K.","contributorId":40122,"corporation":false,"usgs":true,"family":"Crown","given":"Julia","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":492777,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70101771,"text":"70101771 - 2014 - To understand coral disease, look at coral cells","interactions":[],"lastModifiedDate":"2017-10-04T09:33:47","indexId":"70101771","displayToPublicDate":"2014-04-14T14:12:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"To understand coral disease, look at coral cells","docAbstract":"Diseases threaten corals globally, but 40 years on their causes remain mostly unknown. We hypothesize that inconsistent application of a complete diagnostic approach to coral disease has contributed to this slow progress. We quantified methods used to investigate coral disease in 492 papers published between 1965 and 2013. Field surveys were used in 65% of the papers, followed by biodetection (43%), laboratory trials (20%), microscopic pathology (21%), and field trials (9%). Of the microscopic pathology efforts, 57% involved standard histopathology at the light microscopic level (12% of the total investigations), with the remainder dedicated to electron or fluorescence microscopy. Most (74%) biodetection efforts focused on culture or molecular characterization of bacteria or fungi from corals. Molecular and immunological tools have been used to incriminate infectious agents (mainly bacteria) as the cause of coral diseases without relating the agent to specific changes in cell and tissue pathology. Of 19 papers that declared an infectious agent as a cause of disease in corals, only one (5%) used microscopic pathology, and none fulfilled all of the criteria required to satisfy Koch’s postulates as applied to animal diseases currently. Vertebrate diseases of skin and mucosal surfaces present challenges similar to corals when trying to identify a pathogen from a vast array of environmental microbes, and diagnostic approaches regularly used in these cases might provide a model for investigating coral diseases. We hope this review will encourage specialists of disease in domestic animals, wildlife, fish, shellfish, and humans to contribute to the emerging field of coral disease.
","language":"English","publisher":"Springer","doi":"10.1007/s10393-014-0931-1","usgsCitation":"Work, T.M., and Meteyer, C.U., 2014, To understand coral disease, look at coral cells: EcoHealth, v. 11, no. 4, p. 610-618, https://doi.org/10.1007/s10393-014-0931-1.","productDescription":"9 p.","startPage":"610","endPage":"618","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041509","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":286331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286330,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10393-014-0931-1"}],"volume":"11","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-04-11","publicationStatus":"PW","scienceBaseUri":"5351706ae4b05569d805a410","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":492741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meteyer, Carol U. 0000-0002-4007-3410 cmeteyer@usgs.gov","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":111,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","email":"cmeteyer@usgs.gov","middleInitial":"U.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":492742,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101724,"text":"70101724 - 2014 - Interactions between waves, sediment, and turbulence on a shallow estuarine mudflat","interactions":[],"lastModifiedDate":"2014-04-15T09:49:07","indexId":"70101724","displayToPublicDate":"2014-04-14T13:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between waves, sediment, and turbulence on a shallow estuarine mudflat","docAbstract":"Measurements were collected on a shallow estuarine mudflat in northern San Francisco Bay to examine the physical processes controlling waves, turbulence, sediment resuspension, and their interactions. Tides alone forced weak to moderate currents of 10–30 cm s-1 in depths of 0–3 m, and maintained a background suspension of 30–50 mg L21 of fine sediment. In the presence of wind waves, bottom orbital velocities spanned 20–30 cm s-1, suspended-sediment concentrations (SSC) at 15 and 30 cm above the bed (cmab) increased by 1–2 orders of magnitude, and vertical gradients in SSC were strong enough to produce turbulence-limiting stratification, with gradient Richardson numbers exceeding 0.25. Simultaneously, turbulent\nstresses (decomposed from wave motions) increased by an order of magnitude. The apparent contradiction of energetic turbulence in the presence of strong stratification was reconciled by considering the turbulent kinetic energy (TKE) budget: in general, dissipation and buoyancy flux were balanced by local shear production, and each of these terms increased during wave events. The classic wave-current boundary layer model represented\nthe observations qualitatively, but not quantitatively since the velocity profile could not be approximated as logarithmic. Rather, the mean shear was elevated by the Stokes drift return flow and wind-generated surface\nstress, which diffused sediment upward and limited stratification. Our findings highlight a pathway for waves to supply energy to both the production and destruction of turbulence, and demonstrate that in such shallow depths, TKE and SSC can be elevated over more of the water column than predicted by traditional models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JC009477","usgsCitation":"MacVean, L.J., and Lacy, J.R., 2014, Interactions between waves, sediment, and turbulence on a shallow estuarine mudflat: Journal of Geophysical Research C: Oceans, v. 119, no. 3, p. 1534-1553, https://doi.org/10.1002/2013JC009477.","productDescription":"20 p.","startPage":"1534","endPage":"1553","ipdsId":"IP-051974","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jc009477","text":"Publisher Index Page"},{"id":286329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286308,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JC009477"}],"country":"United States","state":"California","otherGeospatial":"San Pablo Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.510483,37.990377 ], [ -122.510483,38.163814 ], [ -122.244364,38.163814 ], [ -122.244364,37.990377 ], [ -122.510483,37.990377 ] ] ] } } ] }","volume":"119","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-05","publicationStatus":"PW","scienceBaseUri":"53517050e4b05569d805a2f0","contributors":{"authors":[{"text":"MacVean, Lissa J. lmacvean@usgs.gov","contributorId":4698,"corporation":false,"usgs":true,"family":"MacVean","given":"Lissa","email":"lmacvean@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":492737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacy, Jessica R. 0000-0002-2797-6172 jlacy@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":3158,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"jlacy@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":492736,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101773,"text":"70101773 - 2014 - In vitro immune functions in thiamine-replete and -depleted lake trout (Salvelinus namaycush)","interactions":[],"lastModifiedDate":"2017-07-21T14:55:35","indexId":"70101773","displayToPublicDate":"2014-04-14T13:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1644,"text":"Fish & Shellfish Immunology","active":true,"publicationSubtype":{"id":10}},"title":"In vitro immune functions in thiamine-replete and -depleted lake trout (Salvelinus namaycush)","docAbstract":"In this study we examined the impacts of in vivo thiamine deficiency on lake trout leukocyte function measured in vitro. When compared outside the context of individual-specific thiamine concentrations no significant differences were observed in leukocyte bactericidal activity or in concanavalin A (Con A), and phytohemagglutinin-P (PHA-P) stimulated leukocyte proliferation. Placing immune functions into context with the ratio of in vivo liver thiamine monophosphate (TMP – biologically inactive form) to thiamine pyrophosphate (TPP – biologically active form) proved to be the best indicator of thiamine depletion impacts as determined using regression modeling. These observed relationships indicated differential effects on the immune measures with bactericidal activity exhibiting an inverse relationship with TMP to TPP ratios, Con A stimulated mitogenesis exhibiting a positive relationship with TMP to TPP ratios and PHA-P stimulated mitogenesis exhibiting no significant relationships. In addition, these relationships showed considerable complexity which included the consistent observation of a thiamine-replete subgroup with characteristics similar to those seen in the leukocytes from thiamine-depleted fish. When considered together, our observations indicate that lake trout leukocytes experience cell-type specific impacts as well as an altered physiologic environment when confronted with a thiamine-limited state.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fish & Shellfish Immunology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.fsi.2014.03.024","usgsCitation":"Ottinger, C.A., Honeyfield, D.C., Densmore, C.L., and Iwanowicz, L., 2014, In vitro immune functions in thiamine-replete and -depleted lake trout (Salvelinus namaycush): Fish & Shellfish Immunology, v. 38, no. 1, p. 211-220, https://doi.org/10.1016/j.fsi.2014.03.024.","productDescription":"10 p.","startPage":"211","endPage":"220","numberOfPages":"10","ipdsId":"IP-052373","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fsi.2014.03.024","text":"Publisher Index Page"},{"id":286328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286327,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.fsi.2014.03.024"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351704ee4b05569d805a2e4","contributors":{"authors":[{"text":"Ottinger, Christopher A. 0000-0003-2551-1985 cottinger@usgs.gov","orcid":"https://orcid.org/0000-0003-2551-1985","contributorId":2559,"corporation":false,"usgs":true,"family":"Ottinger","given":"Christopher","email":"cottinger@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":492745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Honeyfield, Dale C. 0000-0003-3034-2047 honeyfie@usgs.gov","orcid":"https://orcid.org/0000-0003-3034-2047","contributorId":2774,"corporation":false,"usgs":true,"family":"Honeyfield","given":"Dale","email":"honeyfie@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":492746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Densmore, Christine L. 0000-0001-6440-0781 cdensmore@usgs.gov","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":4560,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine","email":"cdensmore@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":492747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iwanowicz, Luke R.","contributorId":11902,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[],"preferred":false,"id":492748,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70101780,"text":"70101780 - 2014 - Direct measurement of sub-surface mass change using the variable-baseline gravity gradient method","interactions":[],"lastModifiedDate":"2019-12-19T07:11:44","indexId":"70101780","displayToPublicDate":"2014-04-14T13:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Direct measurement of sub-surface mass change using the variable-baseline gravity gradient method","docAbstract":"Time-lapse gravity data provide a direct, non-destructive method to monitor mass changes at scales from cm to km. But, the effectively infinite spatial sensitivity of gravity measurements can make it difficult to isolate the signal of interest. The variable-baseline gravity gradient method, based on the difference of measurements between two gravimeters, is an alternative to the conventional approach of individually modeling all sources of mass and elevation change. This approach can improve the signal-to-noise ratio for many applications by removing the contributions of Earth tides, loading, and other signals that have the same effect on both gravimeters. At the same time, this approach can focus the support volume within a relatively small user-defined region of the subsurface. The method is demonstrated using paired superconducting gravimeters to make for the first time a large-scale, non-invasive measurement of infiltration wetting front velocity and change in water content above the wetting front.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014GL059673","usgsCitation":"Kennedy, J., Ferré, T., Guntner, A., Abe, M., and Creutzfeldt, B., 2014, Direct measurement of sub-surface mass change using the variable-baseline gravity gradient method: Geophysical Research Letters, v. 41, no. 8, p. 2827-2834, https://doi.org/10.1002/2014GL059673.","productDescription":"8 p.","startPage":"2827","endPage":"2834","numberOfPages":"8","ipdsId":"IP-055776","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":473053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl059673","text":"Publisher Index Page"},{"id":286326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-04-28","publicationStatus":"PW","scienceBaseUri":"53517034e4b05569d805a1c7","contributors":{"authors":[{"text":"Kennedy, Jeffrey 0000-0002-3365-6589","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":101124,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","affiliations":[],"preferred":false,"id":492757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferré, Ty P.A.","contributorId":35647,"corporation":false,"usgs":false,"family":"Ferré","given":"Ty P.A.","affiliations":[],"preferred":false,"id":492755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntner, Andreas","contributorId":19476,"corporation":false,"usgs":true,"family":"Guntner","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":492754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abe, Maiko","contributorId":8381,"corporation":false,"usgs":true,"family":"Abe","given":"Maiko","email":"","affiliations":[],"preferred":false,"id":492753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Creutzfeldt, Benjamin","contributorId":60128,"corporation":false,"usgs":true,"family":"Creutzfeldt","given":"Benjamin","affiliations":[],"preferred":false,"id":492756,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70147861,"text":"70147861 - 2014 - Estimating abundances of interacting species using morphological traits, foraging guilds, and habitat","interactions":[],"lastModifiedDate":"2015-05-11T13:18:03","indexId":"70147861","displayToPublicDate":"2014-04-11T14:15:00","publicationYear":"2014","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 abundances of interacting species using morphological traits, foraging guilds, and habitat","docAbstract":"We developed a statistical model to estimate the abundances of potentially interacting species encountered while conducting point-count surveys at a set of ecologically relevant locations - as in a metacommunity of species. In the model we assume that abundances of species with similar traits (e.g., body size) are potentially correlated and that these correlations, when present, may exist among all species or only among functionally related species (such as members of the same foraging guild). We also assume that species-specific abundances vary among locations owing to systematic and stochastic sources of heterogeneity. For example, if abundances differ among locations due to differences in habitat, then measures of habitat may be included in the model as covariates. Naturally, the quantitative effects of these covariates are assumed to differ among species. Our model also accounts for the effects of detectability on the observed counts of each species. This aspect of the model is especially important for rare or uncommon species that may be difficult to detect in community-level surveys. Estimating the detectability of each species requires sampling locations to be surveyed repeatedly using different observers or different visits of a single observer. As an illustration, we fitted models to species-specific counts of birds obtained while sampling an avian community during the breeding season. In the analysis we examined whether species abundances appeared to be correlated due to similarities in morphological measures (body mass, beak length, tarsus length, wing length, tail length) and whether these correlations existed among all species or only among species of the same foraging guild. We also used the model to estimate the effects of forested area on species abundances and the effects of sound power output (as measured by body size) on species detection probabilities.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0094323","usgsCitation":"Dorazio, R., and Connor, E., 2014, Estimating abundances of interacting species using morphological traits, foraging guilds, and habitat: PLoS ONE, v. 9, no. 4, p. 1-9, https://doi.org/10.1371/journal.pone.0094323.","productDescription":"9 p.","startPage":"1","endPage":"9","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045166","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0094323","text":"Publisher Index Page"},{"id":300309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-11","publicationStatus":"PW","scienceBaseUri":"5551d2b2e4b0a92fa7e93bdf","contributors":{"authors":[{"text":"Dorazio, Robert M. bob_dorazio@usgs.gov","contributorId":140635,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert M.","email":"bob_dorazio@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":546346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, Edward F.","contributorId":17503,"corporation":false,"usgs":true,"family":"Connor","given":"Edward F.","affiliations":[],"preferred":false,"id":546347,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70098182,"text":"ofr20141058 - 2014 - Hydrogeology of the Old Faithful area, Yellowstone National Park, Wyoming, and its relevance to natural resources and infrastructure","interactions":[],"lastModifiedDate":"2019-03-13T09:04:51","indexId":"ofr20141058","displayToPublicDate":"2014-04-11T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1058","title":"Hydrogeology of the Old Faithful area, Yellowstone National Park, Wyoming, and its relevance to natural resources and infrastructure","docAbstract":"A panel of leading experts (The Old Faithful Science Review Panel) was convened by Yellowstone National Park (YNP) to review and summarize the geological and hydrological understanding that can inform National Park Service management of the Upper Geyser Basin area. We give an overview of present geological and hydrological knowledge of the Old Faithful hydrothermal (hot water) system and related thermal areas in the Upper Geyser Basin. We prioritize avenues for improving our understanding of key knowledge gaps that limit informed decision-making regarding human use in this fragile natural landscape. Lastly, we offer guidelines to minimize impacts to the hydrothermal system that could be used to aid decisions by park management.
\nOld Faithful sits within the Upper Geyser Basin, an area of abundant hydrothermal activity where boiling waters extend from the surface to significant depth within glacial sediments and underlying volcanic rocks. The geyser systems are directly fed by waters recharged decades to millennia ago, which are surrounded by colder, younger waters. Activity of the geysers is controlled by complex subsurface plumbing with fractures and conduits separated by regions of low permeability. Observations over the past century indicate that the thermal areas and their features are both fragile and highly dynamic. Although Old Faithful has erupted regularly for the past 150 years, it exhibits changes in eruptive behavior over time, and the average interval between eruptions has increased by about 50 percent over the past 50 years. It is clear that human activity has modified the hydrothermal system in the past; conversely, natural features pose ongoing hazards to humans and human infrastructure.
\nCurrent (2014) long-term programs to measure heat discharge by chloride-flux monitoring, and more recently by thermal-infrared imaging, are crucial for assessing the status of the hydrothermal system. Complementary studies could include airborne resistivity, environmental tracers, numerical modeling, and greater emphasis on measuring the discharge of water during geyser eruptions. Such data are needed to better understand the subsurface plumbing systems that feed the geysers. Further understanding can be gained through installation of shallow groundwater observation wells, surface geophysical studies, and direct measurement of temperature gradients near the surface. It also is critical to archive existing data from all studies in a manner that will be readily accessible to scientists and decision makers. Monitoring and data collection can be achieved through the YNP geology program, by direct funding to other groups, or by encouraging and facilitating externally funded research.
\nThere are many documented examples at YNP and elsewhere where human infrastructure and natural thermal features have negatively affected each other. Unless action is taken, human conflicts with the Old Faithful hydrothermal system are likely to increase over the coming years. This is partly because of the increase in park visitation over the past decades, but also because the interval between eruptions of Old Faithful has increased, lengthening the time spent (and services needed) for each visitor at Old Faithful. To avoid an increase in visitor impacts, the National Park Service should consider 2 alternate strategies to accommodate people, vehicles, and services in the Upper Geyser Basin, such as shuttle services from staging (parking and dining) areas with little or no recent hydrothermal activity. We further suggest that YNP consider a zone system to guide maintenance and development of infrastructure in the immediate Old Faithful area. A “red” zone includes hydrothermally active land where new development is discouraged and existing infrastructure is modified with great care. An outer “green” zone represents areas where cooler temperatures and less hydrothermal flow are thought to exist, and where development and maintenance could proceed as occurs elsewhere in the park. An intermediate “yellow” zone would require preliminary assessment of subsurface temperatures and gas concentrations to assess suitability for infrastructure development. The panel recommends that YNP management follow the lead of the National Park System Advisory Board Science Committee (2012) by applying the “precautionary principle” when making decisions regarding the interaction of hydrothermal phenomena and park infrastructure in the Old Faithful area and other thermal areas within YNP.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141058","issn":"2331-1258","collaboration":"Prepared in cooperation with the National Park Service and the Yellowstone Park Foundation","usgsCitation":"Old Faithful Science Review Panel, Foley, D., Fournier, R.O., Heasler, H.P., Hinckley, B., Ingebritsen, S.E., Lowenstern, J.B., and Susong, D.D., 2014, Hydrogeology of the Old Faithful area, Yellowstone National Park, Wyoming, and its relevance to natural resources and infrastructure: U.S. Geological Survey Open-File Report 2014-1058, vi, 28 p., https://doi.org/10.3133/ofr20141058.","productDescription":"vi, 28 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051536","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":286288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141058.jpg"},{"id":286286,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1058/"},{"id":286287,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1058/pdf/ofr2014-1058.pdf"}],"country":"United States","state":"Wyoming","otherGeospatial":"Old Faithful, Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.875,44.45 ], [ -110.875,44.483333 ], [ -110.816667,44.483333 ], [ -110.816667,44.45 ], [ -110.875,44.45 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517047e4b05569d805a260","contributors":{"authors":[{"text":"Old Faithful Science Review Panel","contributorId":128280,"corporation":true,"usgs":false,"organization":"Old Faithful Science Review Panel","id":535635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Duncan","contributorId":52076,"corporation":false,"usgs":true,"family":"Foley","given":"Duncan","email":"","affiliations":[],"preferred":false,"id":491681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fournier, Robert O.","contributorId":73202,"corporation":false,"usgs":true,"family":"Fournier","given":"Robert","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":491684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heasler, Henry P.","contributorId":65935,"corporation":false,"usgs":true,"family":"Heasler","given":"Henry","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":491683,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinckley, Bern","contributorId":52485,"corporation":false,"usgs":true,"family":"Hinckley","given":"Bern","email":"","affiliations":[],"preferred":false,"id":491682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":491678,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":491680,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Susong, David D. ddsusong@usgs.gov","contributorId":1040,"corporation":false,"usgs":true,"family":"Susong","given":"David","email":"ddsusong@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491679,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70101408,"text":"70101408 - 2014 - Hemispheric-scale wind selection facilitates bar-tailed godwit circum-migration of the Pacific","interactions":[],"lastModifiedDate":"2018-08-21T13:29:09","indexId":"70101408","displayToPublicDate":"2014-04-11T10:12:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":770,"text":"Animal Behaviour","active":true,"publicationSubtype":{"id":10}},"title":"Hemispheric-scale wind selection facilitates bar-tailed godwit circum-migration of the Pacific","docAbstract":"The annual 29 000 km long migration of the bar-tailed godwit, Limosa lapponica baueri, around the Pacific Ocean traverses what is arguably the most complex and seasonally structured atmospheric setting on Earth. Faced with marked variation in wind regimes and storm conditions across oceanic migration corridors, individuals must make critical decisions about when and where to fly during nonstop flights of a week's duration or longer. At a minimum, their decisions will affect wind profitability and thus reduce energetic costs of migration; in the extreme, poor decisions or unpredictable weather events will risk survival. We used satellite telemetry to track the annual migration of 24 bar-tailed godwits and analysed their flight performance relative to wind conditions during three major migration legs between nonbreeding grounds in New Zealand and breeding grounds in Alaska. Because flight altitudes of birds en route were unknown, we modelled flight efficiency at six geopotential heights across each migratory segment. Birds selected departure dates when atmospheric conditions conferred the greatest wind assistance both at departure and throughout their flights. This behaviour suggests that there exists a cognitive mechanism, heretofore unknown among migratory birds, that allows godwits to assess changes in weather conditions that are linked (i.e. teleconnected) across widely separated atmospheric regions. Godwits also showed adaptive flexibility in their response not only to cues related to seasonal changes in macrometeorology, such as spatial shifting of storm tracks and temporal periods of cyclogenesis, but also to cues associated with stochastic events, especially at departure sites. Godwits showed limits to their response behaviours, however, especially relative to rapidly developing stochastic events while en route. We found that flight efficiency depended significantly upon altitude and hypothesize that godwits exhibit further adaptive flexibility by varying flight altitude en route to optimize flight efficiency.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Animal Behaviour","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.anbehav.2014.01.020","usgsCitation":"Gill, R., Douglas, D.C., Handel, C.M., Tibbitts, T.L., Hufford, G., and Piersma, T., 2014, Hemispheric-scale wind selection facilitates bar-tailed godwit circum-migration of the Pacific: Animal Behaviour, v. 90, p. 117-130, https://doi.org/10.1016/j.anbehav.2014.01.020.","productDescription":"14 p.","startPage":"117","endPage":"130","numberOfPages":"14","ipdsId":"IP-049323","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473057,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.anbehav.2014.01.020","text":"External Repository"},{"id":286248,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286221,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.anbehav.2014.01.020"}],"otherGeospatial":"Pacific Ocean","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 100.0,-50.0 ], [ 100.0,70.0 ], [ -140.0,70.0 ], [ -140.0,-50.0 ], [ 100.0,-50.0 ] ] ] } } ] }","volume":"90","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517045e4b05569d805a24b","contributors":{"authors":[{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":492688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":492686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":492687,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":492689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hufford, Gary","contributorId":106408,"corporation":false,"usgs":true,"family":"Hufford","given":"Gary","affiliations":[],"preferred":false,"id":492691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piersma, Theunis","contributorId":95369,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":492690,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70093575,"text":"sir20145019 - 2014 - Remediation scenarios for attenuating peak flows and reducing sediment transport in Fountain Creek, Colorado, 2013","interactions":[],"lastModifiedDate":"2014-04-11T08:00:45","indexId":"sir20145019","displayToPublicDate":"2014-04-11T07:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5019","title":"Remediation scenarios for attenuating peak flows and reducing sediment transport in Fountain Creek, Colorado, 2013","docAbstract":"The U.S. Geological Survey (USGS) in cooperation with the Fountain Creek Watershed, Flood Control and Greenway District assessed remediation scenarios to attenuate peak flows and reduce sediment loads in the Fountain Creek watershed. To evaluate these strategies, the U.S. Army Corps of Engineers Hydrologic Engineering Center (HEC) hydrologic and hydraulic models were employed.
\nThe U.S. Army Corps of Engineers modeling system HEC-HMS (Hydrologic Modeling System) version 3.5 was used to simulate runoff in the Fountain Creek watershed, Colorado, associated with storms of varying magnitude and duration. Rain-gage precipitation data and radar-based precipitation data from the April 28–30, 1999, and September 14–15, 2011, storm events were used in the calibration process for the HEC-HMS model. The curve number and lag time for each subwatershed and Manning's roughness coefficients for each channel reach were adjusted within an acceptable range so that the simulated and measured streamflow hydrographs for each of the 12 USGS streamgages approximated each other.
\nThe U.S. Army Corps of Engineers modeling system HEC-RAS (River Analysis System) versions 4.1 and 4.2 were used to simulate streamflow and sediment transport, respectively, for the Fountain Creek watershed generated by a particular storm event. Data from 15 USGS streamgages were used for model calibration and 7 of those USGS streamgages were used for model validation. The calibration process consisted of comparing the simulated water-surface elevations and the cross-section-averaged velocities from the model with those surveyed in the field at the cross section at the corresponding 15 and 7 streamgages, respectively. The final Manning’s roughness coefficients were adjusted between –30 and 30 percent at the 15 calibration streamgages from the original left, right, and channel-averaged Manning's roughness coefficients upon completion of calibration.
\nThe U.S. Army Corps of Engineers modeling system HEC-RAS version 4.2 was used to simulate streamflow and sediment transport for the Fountain Creek watershed generated by a design-storm event. The Laursen-Copeland sediment-transport function was used in conjunction with the Exner 5 sorting method and the Ruby fall-velocity method to predict sediment transport. Six USGS streamgages equipped with suspended-sediment samplers were used to develop sediment-flow rating curves for the sediment-transport-model calibration. The critical Shields number in the Laursen-Copeland sediment-transport function and the volume of sediment available at a given cross section were adjusted during the HEC-RAS sediment-model calibration process.
\nHEC-RAS model simulations used to evaluate the 14 remediation scenarios were based on unsteady-state streamflows associated with a 24-hour, 1-percent annual exceedance probability (100-year) National Oceanic and Atmospheric Administration Type II precipitation event. Scenario 0 represents the baseline or current conditions in the watershed and was used to compare the remaining 13 scenarios. Scenarios 1–8 and 12 rely on side-detention facilities to reduce peak flows and sediment transport. Scenario 9 has a diversion channel, and scenario 10 has a reservoir. Scenarios 11 and 13 incorporate channel armoring and channel widening, respectively. Scenarios 8 and 10, the scenario with the most side-detention facilities, and the scenario with the reservoir, respectively, were the most effective at reducing sediment transport and peak flow at the Pueblo, Colorado, streamgage. Scenarios 8 and 10 altered the peak flow by –58.9 and –56.4 percent, respectively. In turn, scenarios 8 and 10 altered the sediment transport by –17.7 and –62.1 percent, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145019","collaboration":"Prepared in cooperation with the Fountain Creek Watershed, Flood Control and Greenway District","usgsCitation":"Kohn, M.S., Fulton, J.W., Williams, C.A., and Stogner, 2014, Remediation scenarios for attenuating peak flows and reducing sediment transport in Fountain Creek, Colorado, 2013: U.S. Geological Survey Scientific Investigations Report 2014-5019, ix, 62 p., https://doi.org/10.3133/sir20145019.","productDescription":"ix, 62 p.","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-053256","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":286229,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5019/"},{"id":286236,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5019/pdf/sir2014-5019.pdf"},{"id":286237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145019.jpg"}],"projection":"Colorado State Plane","datum":"North American Datum of 1983","country":"United States","state":"Colorado","otherGeospatial":"Fountain Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.2998,38.2455 ], [ -105.2998,39.1716 ], [ -104.2993,39.1716 ], [ -104.2993,38.2455 ], [ -105.2998,38.2455 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351705fe4b05569d805a38e","contributors":{"authors":[{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, John W. 0000-0002-5335-0720 jwfulton@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":2298,"corporation":false,"usgs":true,"family":"Fulton","given":"John","email":"jwfulton@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stogner 0000-0002-3185-1452 rstogner@usgs.gov","orcid":"https://orcid.org/0000-0002-3185-1452","contributorId":938,"corporation":false,"usgs":true,"family":"Stogner","email":"rstogner@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":490056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70094710,"text":"70094710 - 2014 - Variability in wood-frame building damage using broad-band synthetic ground motions: a comparative numerical study with recorded motions","interactions":[],"lastModifiedDate":"2016-01-29T11:06:28","indexId":"70094710","displayToPublicDate":"2014-04-10T14:37:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2240,"text":"Journal of Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Variability in wood-frame building damage using broad-band synthetic ground motions: a comparative numerical study with recorded motions","docAbstract":"Earthquake damage to light-frame wood buildings is a major concern for North America because of the volume of this construction type. In order to estimate wood building damage using synthetic ground motions, we need to verify the ability of synthetically generated ground motions to simulate realistic damage for this structure type. Through a calibrated damage potential indicator, four different synthetic ground motion models are compared with the historically recorded ground motions at corresponding sites. We conclude that damage for sites farther from the fault (>20 km) is under-predicted on average and damage at closer sites is sometimes over-predicted.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Earthquake Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/13632469.2013.856822","usgsCitation":"Pei, S., van de Lindt, J.W., Hartzell, S.H., and Luco, N., 2014, Variability in wood-frame building damage using broad-band synthetic ground motions: a comparative numerical study with recorded motions: Journal of Earthquake Engineering, v. 18, no. 3, p. 389-406, https://doi.org/10.1080/13632469.2013.856822.","productDescription":"18 p.","startPage":"389","endPage":"406","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054915","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":286219,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-11-15","publicationStatus":"PW","scienceBaseUri":"5351706de4b05569d805a437","contributors":{"authors":[{"text":"Pei, Shiling","contributorId":76646,"corporation":false,"usgs":true,"family":"Pei","given":"Shiling","email":"","affiliations":[],"preferred":false,"id":490827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van de Lindt, John W.","contributorId":42133,"corporation":false,"usgs":true,"family":"van de Lindt","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":490826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":490825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luco, Nicolas 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":1188,"corporation":false,"usgs":true,"family":"Luco","given":"Nicolas","email":"nluco@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":490824,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70099924,"text":"sir20145057 - 2014 - Simulated effects of existing and proposed surface-water impoundments and gas-well pads on streamflow and suspended sediment in the Cypress Creek watershed, Arkansas","interactions":[],"lastModifiedDate":"2016-04-14T09:25:54","indexId":"sir20145057","displayToPublicDate":"2014-04-10T11:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5057","title":"Simulated effects of existing and proposed surface-water impoundments and gas-well pads on streamflow and suspended sediment in the Cypress Creek watershed, Arkansas","docAbstract":"Cypress Creek is located in central Arkansas and is the main tributary to Brewer Lake, which serves as the primary water supply for Conway, Arkansas, and the surrounding areas. A model of the Cypress Creek watershed was developed and calibrated in cooperation with Southwestern Energy Company using detailed precipitation, streamflow, and discrete suspended-sediment data collected from 2009 through 2012. These data were used with a Hydrologic Simulation Program—FORTRAN model to address different potential gas-extraction activities within the watershed.
\n\n
The calibrated Hydrologic Simulation Program—FORTRAN model was used to simulate four land-use scenarios and examine the potential effects of these land-use changes on the streamflow and water quality within the Cypress Creek watershed. These simulated scenarios included (1) the conversion of all nonforested land to forest, representing a time period before extensive grazing activities and no gas-extraction activities; (2) a land-use change to that of 1949, representing a time period with some grazing activities and no gas-extraction activities; (3) a time period with current land-use conditions, but without any gas-extraction activities, that is, the exclusion of gas-well pads/pipelines, associated gravel roads, and surface-water impoundments; and (4) a time period with current land-use conditions, but with increased gas-extraction activities (for example, increased gas-well pad and surface-water impoundment activities) to represent a possible future natural gas full-development condition for the area.
\n\n
A current-conditions simulation also was built and calibrated and represents the current conditions (2013) within the watershed. This simulation was used as the comparison basis for the four land-use scenarios described above. The current-conditions simulation used the 2006 land-use conditions, which consisted primarily of forest and pasture, as well as the current (2013) 35 gas-well pads and pipelines and 6 surface-water impoundments, which account for approximately 1.6 percent of the land use. Simulating a time period before extensive-grazing activities and no gas-extraction activities for scenario 1 resulted in a decrease in suspended-sediment loads and volume of streamflow within the Cypress Creek watershed compared to the current-conditions simulation. Simulating a time period before any gas-extraction activities but with some grazing activities for scenario 2 also resulted in a decrease in suspended-sediment loads and volume of streamflow within the Cypress Creek watershed. Simulating current conditions, but without any natural gas-pad land use or related activities (including pipelines and associated gravel roads), for scenario 3 resulted in mostly unchanged suspended-sediment loads and volume of streamflow within the Cypress Creek watershed, as compared to the current-conditions simulation. Finally, simulating potential future conditions of increased gas-well pad and surface-water impoundment activities for scenario 4 resulted in a decrease (compared to the current-conditions simulation) in suspended-sediment loads and a slight increase of volume of streamflow within the Cypress Creek watershed.
\n\n
The Arkansas Natural Resources Commission and the Arkansas Department of Environmental Quality list suspended sediment from “poor pastures” as a primary source of nonpoint-source pollution in north-central Arkansas, but unpaved (gravel) roads are another important source of suspended sediment. Because of the high sediment-loading rates associated with gravel roads and the large amount of pasture within the watershed, the factors most responsible for suspended sediment within the Cypress Creek watershed are likely associated more with the pastureland and gravel roads, than factors associated with gas-well pads/pipelines.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145057","collaboration":"Prepared in cooperation with Southwestern Energy Company","usgsCitation":"Hart, R.M., 2014, Simulated effects of existing and proposed surface-water impoundments and gas-well pads on streamflow and suspended sediment in the Cypress Creek watershed, Arkansas (Originally posted April 10, 2014; Version 1.1: April 16, 2016): U.S. Geological Survey Scientific Investigations Report 2014-5057, v, 36 p., https://doi.org/10.3133/sir20145057.","productDescription":"v, 36 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054270","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":286180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145057.jpg"},{"id":286178,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5057/"},{"id":286179,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5057/pdf/sir2014-5057.pdf"}],"country":"United States","state":"Arkansas","city":"Conway","otherGeospatial":"Brewer Lake;Cypress Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.748504,35.029964 ], [ -92.748504,35.400913 ], [ -92.429371,35.400913 ], [ -92.429371,35.029964 ], [ -92.748504,35.029964 ] ] ] } } ] }","edition":"Originally posted April 10, 2014; Version 1.1: April 16, 2016","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517061e4b05569d805a3a5","contributors":{"authors":[{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492069,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70059913,"text":"70059913 - 2014 - Three-dimensional distribution of igneous rocks near the Pebble porphyry Cu-Au-Mo deposit in southwestern Alaska: constraints from regional-scale aeromagnetic data","interactions":[],"lastModifiedDate":"2014-04-10T10:34:00","indexId":"70059913","displayToPublicDate":"2014-04-10T10:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional distribution of igneous rocks near the Pebble porphyry Cu-Au-Mo deposit in southwestern Alaska: constraints from regional-scale aeromagnetic data","docAbstract":"Aeromagnetic data helped us to understand the 3D distribution of plutonic rocks near the Pebble porphyry copper deposit in southwestern Alaska, USA. Magnetic susceptibility measurements showed that rocks in the Pebble district are more magnetic than rocks of comparable compositions in the Pike Creek–Stuyahok Hills volcano-plutonic complex. The reduced-to-pole transformation of the aeromagnetic data demonstrated that the older rocks in the Pebble district produce strong magnetic anomaly highs. The tilt derivative transformation highlighted northeast-trending lineaments attributed to Tertiary volcanic rocks. Multiscale edge detection delineated near-surface magnetic sources that are mostly outward dipping and coalesce at depth in the Pebble district. The total horizontal gradient of the 10-km upward-continued magnetic data showed an oval, deep magnetic contact along which porphyry deposits occur. Forward and inverse magnetic modeling showed that the magnetic rocks in the Pebble district extend to depths greater than 9 km. Magnetic inversion was constrained by a near-surface, 3D geologic model that is attributed with measured magnetic susceptibilities from various rock types in the region. The inversion results indicated that several near-surface magnetic sources with moderate susceptibilities converge with depth into magnetic bodies with higher susceptibilities. This deep magnetic source appeared to rise toward the surface in several areas. An isosurface value of 0.02 SI was used to depict the magnetic contact between outcropping granodiorite and nonmagnetic sedimentary host rocks. The contact was shown to be outward dipping. At depths around 5 km, nearly the entire model exceeded the isosurface value indicating the limits of nonmagnetic host material. The inversion results showed the presence of a relatively deep, northeast-trending magnetic low that parallels lineaments mapped by the tilt derivative. This deep low represents a strand of the Lake Clark fault.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/geo2013-0326.1","usgsCitation":"Anderson, E.D., Zhou, W., Li, Y., Hitzman, M., Monecke, T., Lang, J.R., and Kelley, K., 2014, Three-dimensional distribution of igneous rocks near the Pebble porphyry Cu-Au-Mo deposit in southwestern Alaska: constraints from regional-scale aeromagnetic data: Geophysics, v. 79, no. 2, p. B63-B79, https://doi.org/10.1190/geo2013-0326.1.","productDescription":"17 p.","startPage":"B63","endPage":"B79","numberOfPages":"17","ipdsId":"IP-051177","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":286163,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/geo2013-0326.1"},{"id":286168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -160.0049,58.8251 ], [ -160.0049,61.122 ], [ -151.9958,61.122 ], [ -151.9958,58.8251 ], [ -160.0049,58.8251 ] ] ] } } ] }","volume":"79","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517069e4b05569d805a40a","contributors":{"authors":[{"text":"Anderson, Eric D. 0000-0002-0138-6166 ericanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":1733,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric","email":"ericanderson@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":487844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhou, Wei","contributorId":82221,"corporation":false,"usgs":true,"family":"Zhou","given":"Wei","email":"","affiliations":[],"preferred":false,"id":487850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Yaoguo","contributorId":80184,"corporation":false,"usgs":true,"family":"Li","given":"Yaoguo","email":"","affiliations":[],"preferred":false,"id":487849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitzman, Murray W.","contributorId":14682,"corporation":false,"usgs":true,"family":"Hitzman","given":"Murray W.","affiliations":[],"preferred":false,"id":487845,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monecke, Thomas","contributorId":50423,"corporation":false,"usgs":true,"family":"Monecke","given":"Thomas","affiliations":[],"preferred":false,"id":487847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lang, James R.","contributorId":39679,"corporation":false,"usgs":true,"family":"Lang","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":487846,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kelley, Karen D. 0000-0002-3232-5809","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":57817,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen D.","affiliations":[],"preferred":false,"id":487848,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70058757,"text":"70058757 - 2014 - The influence of interspecific interactions on species range expansion rates","interactions":[],"lastModifiedDate":"2016-12-14T11:39:36","indexId":"70058757","displayToPublicDate":"2014-04-10T10:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"The influence of interspecific interactions on species range expansion rates","docAbstract":"Ongoing and predicted global change makes understanding and predicting species’ range shifts an urgent scientific priority. Here, we provide a synthetic perspective on the so far poorly understood effects of interspecific interactions on range expansion rates. We present theoretical foundations for how interspecific interactions may modulate range expansion rates, consider examples from empirical studies of biological invasions and natural range expansions as well as process-based simulations, and discuss how interspecific interactions can be more broadly represented in process-based, spatiotemporally explicit range forecasts. Theory tells us that interspecific interactions affect expansion rates via alteration of local population growth rates and spatial displacement rates, but also via effects on other demographic parameters. The best empirical evidence for interspecific effects on expansion rates comes from studies of biological invasions. Notably, invasion studies indicate that competitive dominance and release from specialized enemies can enhance expansion rates. Studies of natural range expansions especially point to the potential for competition from resident species to reduce expansion rates. Overall, it is clear that interspecific interactions may have important consequences for range dynamics, but also that their effects have received too little attention to robustly generalize on their importance. We then discuss how interspecific interactions effects can be more widely incorporated in dynamic modeling of range expansions. Importantly, models must describe spatiotemporal variation in both local population dynamics and dispersal. Finally, we derive the following guidelines for when it is particularly important to explicitly represent interspecific interactions in dynamic range expansion forecasts: if most interacting species show correlated spatial or temporal trends in their effects on the target species, if the number of interacting species is low, and if the abundance of one or more strongly interacting species is not closely linked to the abundance of the target species.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0587.2013.00574.x","usgsCitation":"Svenning, J., Gravel, D., Holt, R.D., Schurr, F.M., Thuiller, W., Munkemuller, T., Schiffers, K.H., Dullinger, S., Edwards, T.C., Hickler, T., Higgins, S., Nabel, J.E., Pagel, J., and Normand, S., 2014, The influence of interspecific interactions on species range expansion rates: Ecography, v. 37, no. 12, p. 1198-1209, https://doi.org/10.1111/j.1600-0587.2013.00574.x.","productDescription":"12 p.","startPage":"1198","endPage":"1209","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049473","costCenters":[{"id":609,"text":"Utah Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473058,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1600-0587.2013.00574.x","text":"Publisher Index Page"},{"id":286148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286146,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0587.2013.00574.x"}],"volume":"37","issue":"12","noUsgsAuthors":false,"publicationDate":"2014-01-20","publicationStatus":"PW","scienceBaseUri":"53517069e4b05569d805a3fb","contributors":{"authors":[{"text":"Svenning, Jens-Christian","contributorId":34642,"corporation":false,"usgs":true,"family":"Svenning","given":"Jens-Christian","email":"","affiliations":[],"preferred":false,"id":487355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gravel, Dominique","contributorId":24277,"corporation":false,"usgs":true,"family":"Gravel","given":"Dominique","email":"","affiliations":[],"preferred":false,"id":487353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holt, Robert D.","contributorId":80584,"corporation":false,"usgs":true,"family":"Holt","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schurr, Frank M.","contributorId":72708,"corporation":false,"usgs":true,"family":"Schurr","given":"Frank","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":487360,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thuiller, Wilfried","contributorId":38059,"corporation":false,"usgs":true,"family":"Thuiller","given":"Wilfried","email":"","affiliations":[],"preferred":false,"id":487356,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Munkemuller, Tamara","contributorId":57768,"corporation":false,"usgs":true,"family":"Munkemuller","given":"Tamara","email":"","affiliations":[],"preferred":false,"id":487358,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schiffers, Katja H.","contributorId":79019,"corporation":false,"usgs":true,"family":"Schiffers","given":"Katja","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":487361,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dullinger, Stefan","contributorId":19080,"corporation":false,"usgs":true,"family":"Dullinger","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":487352,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":2061,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas","suffix":"Jr.","email":"tce@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":false,"id":487351,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hickler, Thomas","contributorId":44458,"corporation":false,"usgs":true,"family":"Hickler","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":487357,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Higgins, Steven I.","contributorId":88651,"corporation":false,"usgs":true,"family":"Higgins","given":"Steven I.","affiliations":[],"preferred":false,"id":487363,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nabel, Julia E.M.S.","contributorId":94214,"corporation":false,"usgs":true,"family":"Nabel","given":"Julia","email":"","middleInitial":"E.M.S.","affiliations":[],"preferred":false,"id":487364,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pagel, Jorn","contributorId":67009,"corporation":false,"usgs":true,"family":"Pagel","given":"Jorn","email":"","affiliations":[],"preferred":false,"id":487359,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Normand, Signe","contributorId":30545,"corporation":false,"usgs":true,"family":"Normand","given":"Signe","email":"","affiliations":[],"preferred":false,"id":487354,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70059037,"text":"70059037 - 2014 - Testing the accuracy of a 1-D volcanic plume model in estimating mass eruption rate","interactions":[],"lastModifiedDate":"2019-03-11T10:56:51","indexId":"70059037","displayToPublicDate":"2014-04-10T09:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Testing the accuracy of a 1-D volcanic plume model in estimating mass eruption rate","docAbstract":"During volcanic eruptions, empirical relationships are used to estimate mass eruption rate from plume height. Although simple, such relationships can be inaccurate and can underestimate rates in windy conditions. One-dimensional plume models can incorporate atmospheric conditions and give potentially more accurate estimates. Here I present a 1-D model for plumes in crosswind and simulate 25 historical eruptions where plume height Hobs was well observed and mass eruption rate Mobs could be calculated from mapped deposit mass and observed duration. The simulations considered wind, temperature, and phase changes of water. Atmospheric conditions were obtained from the National Center for Atmospheric Research Reanalysis 2.5° model. Simulations calculate the minimum, maximum, and average values (Mmin, Mmax, and Mavg) that fit the plume height. Eruption rates were also estimated from the empirical formula Mempir = 140Hobs4.14 (Mempir is in kilogram per second, Hobs is in kilometer). For these eruptions, the standard error of the residual in log space is about 0.53 for Mavg and 0.50 for Mempir. Thus, for this data set, the model is slightly less accurate at predicting Mobs than the empirical curve. The inability of this model to improve eruption rate estimates may lie in the limited accuracy of even well-observed plume heights, inaccurate model formulation, or the fact that most eruptions examined were not highly influenced by wind. For the low, wind-blown plume of 14–18 April 2010 at Eyjafjallajökull, where an accurate plume height time series is available, modeled rates do agree better with Mobs than Mempir.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research D: Atmospheres","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JD020604","usgsCitation":"Mastin, L.G., 2014, Testing the accuracy of a 1-D volcanic plume model in estimating mass eruption rate: Journal of Geophysical Research D: Atmospheres, v. 119, no. 5, p. 2474-2495, https://doi.org/10.1002/2013JD020604.","productDescription":"22 p.","startPage":"2474","endPage":"2495","numberOfPages":"22","ipdsId":"IP-046214","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jd020604","text":"Publisher Index Page"},{"id":286120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-03-07","publicationStatus":"PW","scienceBaseUri":"53517066e4b05569d805a3dd","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":487443,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70138813,"text":"70138813 - 2014 - Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook salmon ESU, 1/1/2012 – 12/31/2013: Annual report, 1991-029-00","interactions":[],"lastModifiedDate":"2016-04-26T15:44:23","indexId":"70138813","displayToPublicDate":"2014-04-10T06:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook salmon ESU, 1/1/2012 – 12/31/2013: Annual report, 1991-029-00","docAbstract":"The portion of the Snake River fall Chinook Salmon Oncorhynchus tshawytscha ESU that spawns upstream of Lower Granite Dam transitioned from low to high abundance during 1992–2014 in association with U.S. Endangered Species Act recovery efforts and other Federally mandated actions. This annual report focuses on (1) numeric and habitat use responses by natural- and hatchery-origin spawners, (2) phenotypic and numeric responses by natural-origin juveniles, and (3) predator responses in the Snake River upper and lower reaches as abundance of adult and juvenile fall Chinook Salmon increased. Spawners have located and used most of the available spawning habitat and that habitat is gradually approaching redd capacity. Timing of spawning and fry emergence has been relatively stable; whereas the timing of parr dispersal from riverine rearing habitat into Lower Granite Reservoir has become earlier as apparent abundance of juveniles has increased. Growth rate (g/d) and dispersal size of parr also declined as apparent abundance of juveniles increased. Passage timing of smolts from the two Snake River reaches has become earlier and downstream movement rate faster as estimated abundance of fall Chinook Salmon smolts in Lower Granite Reservoir has increased. In 2014, consumption of subyearlings by Smallmouth Bass was highest in the upper reach which had the highest abundance of Bass. With a few exceptions, predation tended to decrease seasonally from April through early July. A release of hatchery fish in mid-May significantly increased subyearling consumption by the following day. We estimated that over 600,000 subyearling fall Chinook Salmon were lost to Smallmouth Bass predation along the free-flowing Snake River in 2014. More information on predation is presented in Appendix A.3 (page 51). These findings coupled with stock-recruitment analyses presented in this report provide evidence for density-dependence in the Snake River reaches and in Lower Granite Reservoir that was influenced by the expansion of the recovery program. The long-term goal is to use the information covered here in a comprehensive modeling effort to conduct action effectiveness and uncertainty research and to inform fish population, hydrosystem, harvest, hatchery, and predation and invasive species management RM&E.
","language":"English","publisher":"Bonneville Power Administration","collaboration":"Report covers work performed under Bonneville Power Administration Contract # 272492","usgsCitation":"Connor, W.P., Mullins, F., Tiffan, K.F., Perry, R.W., Erhardt, J.M., St. John, S., Bickford, B.K., and Rhodes, T.N., 2014, Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook salmon ESU, 1/1/2012 – 12/31/2013: Annual report, 1991-029-00, 186 p.","productDescription":"186 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057389","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297443,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/documentviewer.aspx?doc=P137822","text":"Report","size":"1.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Hells Canyon Reach, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.7569580078125,\n 45.251688256117646\n ],\n [\n -117.7569580078125,\n 46.76244305208004\n ],\n [\n -116.53198242187499,\n 46.76244305208004\n ],\n [\n -116.53198242187499,\n 45.251688256117646\n ],\n [\n -117.7569580078125,\n 45.251688256117646\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57209137e4b071321fe65683","contributors":{"authors":[{"text":"Connor, William P.","contributorId":107589,"corporation":false,"usgs":false,"family":"Connor","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID 83544","active":true,"usgs":false}],"preferred":false,"id":538926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullins, Frank","contributorId":36440,"corporation":false,"usgs":true,"family":"Mullins","given":"Frank","affiliations":[],"preferred":false,"id":538927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":538925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":538928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erhardt, John M. 0000-0002-5170-285X jerhardt@usgs.gov","orcid":"https://orcid.org/0000-0002-5170-285X","contributorId":5380,"corporation":false,"usgs":true,"family":"Erhardt","given":"John","email":"jerhardt@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":538929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"St. John, Scott J.","contributorId":19873,"corporation":false,"usgs":true,"family":"St. John","given":"Scott J.","affiliations":[],"preferred":false,"id":538930,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bickford, Brad K. 0000-0003-3756-6588 bbickford@usgs.gov","orcid":"https://orcid.org/0000-0003-3756-6588","contributorId":140889,"corporation":false,"usgs":true,"family":"Bickford","given":"Brad","email":"bbickford@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":538931,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rhodes, Tobyn N. 0000-0002-4023-4827 trhodes@usgs.gov","orcid":"https://orcid.org/0000-0002-4023-4827","contributorId":140890,"corporation":false,"usgs":true,"family":"Rhodes","given":"Tobyn","email":"trhodes@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":538932,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70188049,"text":"70188049 - 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We compared three NPP estimates for croplands in the Midwestern United States: inventory-based estimates using crop yield data from the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service (NASS); estimates from the satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS) NPP product; and estimates from the General Ensemble biogeochemical Modeling System (GEMS) process-based model. The three methods estimated mean NPP in the range of 469–687 g C m−2 yr−1and total NPP in the range of 318–490 Tg C yr−1 for croplands in the Midwest in 2007 and 2008. The NPP estimates from crop yield data and the GEMS model showed the mean NPP for croplands was over 650 g C m−2 yr−1 while the MODIS NPP product estimated the mean NPP was less than 500 g C m−2 yr−1. MODIS NPP also showed very different spatial variability of the cropland NPP from the other two methods. We found these differences were mainly caused by the difference in the land cover data and the crop specific information used in the methods. Our study demonstrated that the detailed mapping of the temporal and spatial change of crop species is critical for estimating the spatial and temporal variability of cropland NPP. We suggest that high resolution land cover data with species–specific crop information should be used in satellite-based and process-based models to improve carbon estimates for croplands.
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(Geography)","active":false,"usgs":true}],"preferred":true,"id":696357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bliss, Norman B. 0000-0003-2409-5211 bliss@usgs.gov","orcid":"https://orcid.org/0000-0003-2409-5211","contributorId":1921,"corporation":false,"usgs":true,"family":"Bliss","given":"Norman","email":"bliss@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Claudia J. 0000-0002-0859-7206 cyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":2770,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"cyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696359,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"West, Tristram O.","contributorId":39230,"corporation":false,"usgs":true,"family":"West","given":"Tristram","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":696360,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogle, Stephen M.","contributorId":187520,"corporation":false,"usgs":false,"family":"Ogle","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":6935,"text":"Natural Resources Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":696361,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70101080,"text":"70101080 - 2014 - From headwaters to coast: Influence of human activities on water quality of the Potomac River Estuary","interactions":[],"lastModifiedDate":"2019-12-02T07:05:42","indexId":"70101080","displayToPublicDate":"2014-04-09T13:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"From headwaters to coast: Influence of human activities on water quality of the Potomac River Estuary","docAbstract":"The natural aging process of Chesapeake Bay and its tributary estuaries has been accelerated by human activities around the shoreline and within the watershed, increasing sediment and nutrient loads delivered to the bay. Riverine nutrients cause algal growth in the bay leading to reductions in light penetration with consequent declines in sea grass growth, smothering of bottom-dwelling organisms, and decreases in bottom-water dissolved oxygen as algal blooms decay. Historically, bay waters were filtered by oysters, but declines in oyster populations from overfishing and disease have led to higher concentrations of fine-sediment particles and phytoplankton in the water column. Assessments of water and biological resource quality in Chesapeake Bay and tributaries, such as the Potomac River, show a continual degraded state. In this paper, we pay tribute to Owen Bricker’s comprehensive, holistic scientific perspective using an approach that examines the connection between watershed and estuary. We evaluated nitrogen inputs from Potomac River headwaters, nutrient-related conditions within the estuary, and considered the use of shellfish aquaculture as an in-the-water nutrient management measure. Data from headwaters, nontidal, and estuarine portions of the Potomac River watershed and estuary were analyzed to examine the contribution from different parts of the watershed to total nitrogen loads to the estuary. An eutrophication model was applied to these data to evaluate eutrophication status and changes since the early 1990s and for comparison to regional and national conditions. A farm-scale aquaculture model was applied and results scaled to the estuary to determine the potential for shellfish (oyster) aquaculture to mediate eutrophication impacts. Results showed that (1) the contribution to nitrogen loads from headwater streams is small (about 2 %) of total inputs to the Potomac River Estuary; (2) eutrophic conditions in the Potomac River Estuary have improved in the upper estuary since the early 1990s, but have worsened in the lower estuary. The overall system-wide eutrophication impact is high, despite a decrease in nitrogen loads from the upper basin and declining surface water nitrate nitrogen concentrations over that period; (3) eutrophic conditions in the Potomac River Estuary are representative of Chesapeake Bay region and other US estuaries; moderate to high levels of nutrient-related degradation occur in about 65 % of US estuaries, particularly river-dominated low-flow systems such as the Potomac River Estuary; and (4) shellfish (oyster) aquaculture could remove eutrophication impacts directly from the estuary through harvest but should be considered a complement—not a substitute—for land-based measures. The total nitrogen load could be removed if 40 % of the Potomac River Estuary bottom was in shellfish cultivation; a combination of aquaculture and restoration of oyster reefs may provide larger benefits.","language":"English","publisher":"Springer","doi":"10.1007/s10498-014-9226-y","issn":"13806165","usgsCitation":"Bricker, S.B., Rice, K.C., and Bricker, O.P., 2014, From headwaters to coast: Influence of human activities on water quality of the Potomac River Estuary: Aquatic Geochemistry, v. 20, no. 2, p. 291-323, https://doi.org/10.1007/s10498-014-9226-y.","productDescription":"33 p.","startPage":"291","endPage":"323","ipdsId":"IP-046228","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":286015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333173,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/70115891","text":"Response to comment"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Potomac River Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.4772,37.8139 ], [ -80.4772,40.788 ], [ -75.9119,40.788 ], [ -75.9119,37.8139 ], [ -80.4772,37.8139 ] ] ] } } ] }","volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-26","publicationStatus":"PW","scienceBaseUri":"5351703de4b05569d805a20c","contributors":{"authors":[{"text":"Bricker, Suzanne B.","contributorId":64555,"corporation":false,"usgs":false,"family":"Bricker","given":"Suzanne","email":"","middleInitial":"B.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":492591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":1998,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bricker, Owen P. III","contributorId":34432,"corporation":false,"usgs":true,"family":"Bricker","given":"Owen","suffix":"III","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":492590,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70099978,"text":"fs20143024 - 2014 - Groundwater studies: principal aquifer surveys","interactions":[],"lastModifiedDate":"2017-01-23T09:59:01","indexId":"fs20143024","displayToPublicDate":"2014-04-09T13:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3024","title":"Groundwater studies: principal aquifer surveys","docAbstract":"In 1991, the U.S. Congress established the National Water-Quality Assessment (NAWQA) program within the U.S. Geological Survey (USGS) to develop nationally consistent long-term datasets and provide information about the quality of the Nation’s streams and groundwater. The USGS uses objective and reliable data, water-quality models, and systematic scientific studies to assess current water-quality conditions, to identify changes in water quality over time, and to determine how natural factors and human activities affect the quality of streams and groundwater. NAWQA is the only non-regulatory Federal program to perform these types of studies; participation is voluntary.
\n\nIn the third decade (Cycle 3) of the NAWQA program (2013–2023), the USGS will evaluate the quality and availability of groundwater for drinking supply, improve our understanding of where and why water quality is degraded, and assess how groundwater quality could respond to changes in climate and land use. These goals will be addressed through the implementation of a new monitoring component in Cycle 3: Principal Aquifer Surveys.
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have the potential to be a strong positive feedback to climate. As the northern permafrost region experiences as much as a doubling of the rate of warming as the rest of the Earth, the vast amount of C in permafrost soils is vulnerable to thaw, decomposition and release as atmospheric greenhouse gases. Diagnostic and predictive estimates of high-latitude terrestrial C fluxes vary widely among different models depending on how dynamics in permafrost, and the seasonally thawed 'active layer' above it, are represented. Here, we employ a process-based model simulation experiment to assess the net effect of active layer dynamics on this 'permafrost carbon feedback' in recent decades, from 1970 to 2006, over the circumpolar domain of continuous and discontinuous permafrost. Over this time period, the model estimates a mean increase of 6.8 cm in active layer thickness across the domain, which exposes a total of 11.6 Pg C of thawed SOM to decomposition. According to our simulation experiment, mobilization of this previously frozen C results in an estimated cumulative net source of 3.7 Pg C to the atmosphere since 1970 directly tied to active layer dynamics. Enhanced decomposition from the newly exposed SOM accounts for the release of both CO2 (4.0 Pg C) and CH4 (0.03 Pg C), but is partially compensated by CO2 uptake (0.3 Pg C) associated with enhanced net primary production of vegetation. This estimated net C transfer to the atmosphere from permafrost thaw represents a significant factor in the overall ecosystem carbon budget of the Pan-Arctic, and a non-trivial additional contribution on top of the combined fossil fuel emissions from the eight Arctic nations over this time period.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Physics Publishing","publisherLocation":"London","doi":"10.1088/1748-9326/9/4/045005","usgsCitation":"Hayes, D.J., Kicklighter, D.W., McGuire, A.D., Chen, M., Zhuang, Q., Yuan, F., Melillo, J.M., and Wullschleger, S.D., 2014, The impacts of recent permafrost thaw on land-atmosphere greenhouse gas exchange: Environmental Research Letters, v. 9, no. 4, 12 p., https://doi.org/10.1088/1748-9326/9/4/045005.","productDescription":"12 p.","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050867","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473060,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/9/4/045005","text":"Publisher Index Page"},{"id":318554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-09","publicationStatus":"PW","scienceBaseUri":"56dabff4e4b015c306f84d14","contributors":{"authors":[{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":621870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kicklighter, David W.","contributorId":48872,"corporation":false,"usgs":false,"family":"Kicklighter","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":621871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":621847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Min","contributorId":56140,"corporation":false,"usgs":true,"family":"Chen","given":"Min","email":"","affiliations":[],"preferred":false,"id":621872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhuang, Qianlai","contributorId":101975,"corporation":false,"usgs":true,"family":"Zhuang","given":"Qianlai","affiliations":[],"preferred":false,"id":621873,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yuan, Fengming","contributorId":81819,"corporation":false,"usgs":true,"family":"Yuan","given":"Fengming","email":"","affiliations":[],"preferred":false,"id":621874,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Melillo, Jerry M.","contributorId":87847,"corporation":false,"usgs":false,"family":"Melillo","given":"Jerry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":621875,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wullschleger, Stan D.","contributorId":167343,"corporation":false,"usgs":false,"family":"Wullschleger","given":"Stan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":621876,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70098028,"text":"fs20143021 - 2014 - Decision support system development at the Upper Midwest Environmental Sciences Center","interactions":[],"lastModifiedDate":"2023-01-20T16:11:10.614395","indexId":"fs20143021","displayToPublicDate":"2014-04-09T10:13:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3021","title":"Decision support system development at the Upper Midwest Environmental Sciences Center","docAbstract":"A Decision Support System (DSS) can be defined in many ways. The working definition used by the U.S. Geological Survey Upper Midwest Environmental Sciences Center (UMESC) is, “A spatially based computer application or data that assists a researcher or manager in making decisions.” This is quite a broad definition—and it needs to be, because the possibilities for types of DSSs are limited only by the user group and the developer’s imagination. There is no one DSS; the types of DSSs are as diverse as the problems they help solve. This diversity requires that DSSs be built in a variety of ways, using the most appropriate methods and tools for the individual application. The skills of potential DSS users vary widely as well, further necessitating multiple approaches to DSS development. Some small, highly trained user groups may want a powerful modeling tool with extensive functionality at the expense of ease of use. Other user groups less familiar with geographic information system (GIS) and spatial data may want an easy-to-use application for a nontechnical audience. UMESC has been developing DSSs for almost 20 years. Our DSS developers offer our partners a wide variety of technical skills and development options, ranging from the most simple Web page or small application to complex modeling application development.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143021","usgsCitation":"Fox, T.J., Nelson, J., and Rohweder, J., 2014, Decision support system development at the Upper Midwest Environmental Sciences Center: U.S. Geological Survey Fact Sheet 2014-3021, 2 p., https://doi.org/10.3133/fs20143021.","productDescription":"2 p.","ipdsId":"IP-049834","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":285944,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143021.jpg"},{"id":285941,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3021/"},{"id":285940,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3021/pdf/fs2014-3021.pdf"}],"country":"United States","otherGeospatial":"Upper Midwest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.27417,43.746041 ], [ -91.27417,43.898447 ], [ -91.157089,43.898447 ], [ -91.157089,43.746041 ], [ -91.27417,43.746041 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517032e4b05569d805a1b1","contributors":{"authors":[{"text":"Fox, Timothy J. 0000-0002-6167-3001 tfox@usgs.gov","orcid":"https://orcid.org/0000-0002-6167-3001","contributorId":1701,"corporation":false,"usgs":true,"family":"Fox","given":"Timothy","email":"tfox@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":491543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, J. C. 0000-0002-7105-0107 jcnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-7105-0107","contributorId":459,"corporation":false,"usgs":true,"family":"Nelson","given":"J. C.","email":"jcnelson@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":491542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rohweder, Jason J.","contributorId":25629,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason J.","affiliations":[],"preferred":false,"id":491544,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70101379,"text":"70101379 - 2014 - Water use characteristics of black mangrove (Avicennia germinans) communities along an ecotone with marsh at a northern geographical limit","interactions":[],"lastModifiedDate":"2014-04-11T10:17:26","indexId":"70101379","displayToPublicDate":"2014-04-09T10:03:07","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Water use characteristics of black mangrove (Avicennia germinans) communities along an ecotone with marsh at a northern geographical limit","docAbstract":"Mangroves are expanding into warm temperate-zone salt marsh communities in several locations globally. Although scientists have discovered that expansion might have modest effects on ecosystem functioning, water use characteristics have not been assessed relative to this transition. We measured early growing season sapflow (Js) and leaf transpiration (Tr) in Avicennia germinans at a latitudinal limit along the northern Gulf of Mexico (Louisiana, United States) under both flooded and drained states and used these data to scale vegetation water use responses in comparison with Spartina alterniflora. We discovered strong convergence when using either Js or Tr for determining individual tree water use, indicating tight connection between transpiration and xylem water movement in small Avicennia trees. When Tr data were combined with leaf area indices for the region with the use of three separate approaches, we determined that Avicennia stands use approximately 1·0–1·3 mm d–1 less water than Spartina marsh. Differences were only significant with the use of two of the three approaches, but are suggestive of net conservation of water as Avicennia expands into Spartina marshes at this location. Average Js for Avicennia trees was not influenced by flooding, but maximum Js was greater when sites were flooded. Avicennia and Spartina closest to open water (shoreline) used more water than interior locations of the same assemblages by an average of 1·3 mm d−1. Lower water use by Avicennia may indicate a greater overall resilience to drought relative to Spartina, such that aperiodic drought may interact with warmer winter temperatures to facilitate expansion of Avicennia in some years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecohydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Online Library","doi":"10.1002/eco.1353","usgsCitation":"Krauss, K.W., McKee, K.L., and Hester, M.W., 2014, Water use characteristics of black mangrove (Avicennia germinans) communities along an ecotone with marsh at a northern geographical limit: Ecohydrology, v. 7, no. 2, p. 354-365, https://doi.org/10.1002/eco.1353.","startPage":"354","endPage":"365","ipdsId":"IP-038229","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":286249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286246,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.1353"}],"country":"United States","state":"Louisiana","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91,28.5 ], [ -91,8.333333333333334E-4 ], [ -89,8.333333333333334E-4 ], [ -89,28.5 ], [ -91,28.5 ] ] ] } } ] }","volume":"7","issue":"2","edition":"12 p.","noUsgsAuthors":false,"publicationDate":"2012-12-05","publicationStatus":"PW","scienceBaseUri":"5351706ee4b05569d805a44a","contributors":{"authors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":492679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Karen L. 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":8927,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":492680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hester, Mark W.","contributorId":9566,"corporation":false,"usgs":true,"family":"Hester","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":492681,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70101050,"text":"70101050 - 2014 - Accuracy of aging ducks in the U.S. Fish and Wildlife Service Waterfowl Parts Collection Survey","interactions":[],"lastModifiedDate":"2018-01-04T12:51:45","indexId":"70101050","displayToPublicDate":"2014-04-09T09:54:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy of aging ducks in the U.S. Fish and Wildlife Service Waterfowl Parts Collection Survey","docAbstract":"The U.S. Fish and Wildlife Service conducts an annual Waterfowl Parts Collection Survey to estimate composition of harvested waterfowl by species, sex, and age (i.e., juv or ad). The survey relies on interpretation of duck wings by a group of experienced biologists at annual meetings (hereafter, flyway wingbees). Our objectives were to estimate accuracy of age assignment at flyway wingbees and to explore how accuracy rates may influence bias of age composition estimates. We used banded mallards (Anas platyrhynchos; n = 791), wood ducks (Aix sponsa; n = 242), and blue-winged teal (Anas discors; n = 39) harvested and donated by hunters as our source of birds used in accuracy assessments. We sent wings of donated birds to wingbees after the 2002–2003 and 2003–2004 hunting seasons and compared species, sex, and age determinations made at wingbees with our assessments based on internal and external examination of birds and corresponding banding records. Determinations of species and sex of mallards, wood ducks, and blue-winged teal were accurate (>99%). Accuracy of aging adult mallards increased with harvest date, whereas accuracy of aging juvenile male wood ducks and juvenile blue-winged teal decreased with harvest date. Accuracy rates were highest (96% and 95%) for adult and juvenile mallards, moderate for adult and juvenile wood ducks (92% and 92%), and lowest for adult and juvenile blue-winged teal (84% and 82%). We used these estimates to calculate bias for all possible age compositions (0–100% proportion juv) and determined the range of age compositions estimated with acceptable levels of bias. Comparing these ranges with age compositions estimated from Parts Collection Surveys conducted from 1961 to 2008 revealed that mallard and wood duck age compositions were estimated with insignificant levels of bias in all national surveys. However, 69% of age compositions for blue-winged teal were estimated with an unacceptable level of bias. The low preliminary accuracy rates of aging blue-winged teal based on our limited sample suggest a more extensive accuracy assessment study may be considered for interpreting age compositions of this species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/wsb.373","usgsCitation":"Pearse, A.T., Johnson, D.H., Richkus, K.D., Rohwer, F.C., Cox, R.R., and Padding, P.I., 2014, Accuracy of aging ducks in the U.S. Fish and Wildlife Service Waterfowl Parts Collection Survey: Wildlife Society Bulletin, v. 38, no. 1, p. 26-32, https://doi.org/10.1002/wsb.373.","productDescription":"7 p.","startPage":"26","endPage":"32","ipdsId":"IP-044048","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499926,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/7138f8f40aad432ebe8a479cdbd7d1f3","text":"External Repository"},{"id":285936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285925,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.373"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-08","publicationStatus":"PW","scienceBaseUri":"53516f28e4b05569d805a021","chorus":{"doi":"10.1002/wsb.373","url":"http://dx.doi.org/10.1002/wsb.373","publisher":"Wiley-Blackwell","authors":"Pearse Aaron T., Johnson Douglas H., Richkus Kenneth D., Rohwer Frank C., Cox Robert R., Padding Paul I.","journalName":"Wildlife Society Bulletin","publicationDate":"11/8/2013","auditedOn":"11/17/2015"},"contributors":{"authors":[{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":492554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":492553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richkus, Kenneth D.","contributorId":34428,"corporation":false,"usgs":true,"family":"Richkus","given":"Kenneth","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":492556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohwer, Frank C.","contributorId":71477,"corporation":false,"usgs":true,"family":"Rohwer","given":"Frank","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":492558,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cox, Robert R. Jr.","contributorId":6575,"corporation":false,"usgs":true,"family":"Cox","given":"Robert","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":492555,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Padding, Paul I.","contributorId":38411,"corporation":false,"usgs":true,"family":"Padding","given":"Paul","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":492557,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70100875,"text":"ofr20141073 - 2014 - Laharz_py: GIS tools for automated mapping of lahar inundation hazard zones","interactions":[],"lastModifiedDate":"2014-04-09T10:25:22","indexId":"ofr20141073","displayToPublicDate":"2014-04-09T09:25:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1073","title":"Laharz_py: GIS tools for automated mapping of lahar inundation hazard zones","docAbstract":"Laharz_py is written in the Python programming language as a suite of tools for use in ArcMap Geographic Information System (GIS). Primarily, Laharz_py is a computational model that uses statistical descriptions of areas inundated by past mass-flow events to forecast areas likely to be inundated by hypothetical future events. The forecasts use physically motivated and statistically calibrated power-law equations that each has a form A = cV2/3, relating mass-flow volume (V) to planimetric or cross-sectional areas (A) inundated by an average flow as it descends a given drainage. Calibration of the equations utilizes logarithmic transformation and linear regression to determine the best-fit values of c. The software uses values of V, an algorithm for idenitifying mass-flow source locations, and digital elevation models of topography to portray forecast hazard zones for lahars, debris flows, or rock avalanches on maps. Laharz_py offers two methods to construct areas of potential inundation for lahars: (1) Selection of a range of plausible V values results in a set of nested hazard zones showing areas likely to be inundated by a range of hypothetical flows; and (2) The user selects a single volume and a confidence interval for the prediction. In either case, Laharz_py calculates the mean expected A and B value from each user-selected value of V. However, for the second case, a single value of V yields two additional results representing the upper and lower values of the confidence interval of prediction. Calculation of these two bounding predictions require the statistically calibrated prediction equations, a user-specified level of confidence, and t-distribution statistics to calculate the standard error of regression, standard error of the mean, and standard error of prediction. The portrayal of results from these two methods on maps compares the range of inundation areas due to prediction uncertainties with uncertainties in selection of V values. The Open-File Report document contains an explanation of how to install and use the software. The Laharz_py software includes an example data set for Mount Rainier, Washington. The second part of the documentation describes how to use all of the Laharz_py tools in an example dataset at Mount Rainier, Washington.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141073","usgsCitation":"Schilling, S.P., 2014, Laharz_py: GIS tools for automated mapping of lahar inundation hazard zones: U.S. Geological Survey Open-File Report 2014-1073, Report: iv, 78 p.; Laharz_py example ZIP, https://doi.org/10.3133/ofr20141073.","productDescription":"Report: iv, 78 p.; Laharz_py example ZIP","numberOfPages":"82","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043956","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":285932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141073.PNG"},{"id":285930,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1073/pdf/ofr2014-1073.pdf"},{"id":285912,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1073/"},{"id":285931,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1073/downloads/laharz_py_example.zip"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.258,46.160 ], [ -122.258,46.222 ], [ -122.130,46.222 ], [ -122.130,46.160 ], [ -122.258,46.160 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517051e4b05569d805a2f8","contributors":{"authors":[{"text":"Schilling, Steve P. sschilli@usgs.gov","contributorId":634,"corporation":false,"usgs":true,"family":"Schilling","given":"Steve","email":"sschilli@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":492440,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}