The availability of high-resolution, multi-temporal, remotely sensed topographic data is revolutionizing geomorphic analysis. Three-dimensional topographic point measurements acquired from structure-from-motion (SfM) photogrammetry have been shown to be highly accurate and cost-effective compared to laser-based alternatives in some environments. Use of consumer-grade digital cameras to generate terrain models and derivatives is becoming prevalent within the geomorphic community despite the details of these instruments being largely overlooked in current SfM literature. This article is protected by copyright. All rights reserved.
A practical discussion of camera system selection, configuration, and image acquisition is presented. The hypothesis that optimizing source imagery can increase digital terrain model (DTM) accuracy is tested by evaluating accuracies of four SfM datasets conducted over multiple years of a gravel bed river floodplain using independent ground check points with the purpose of comparing morphological sediment budgets computed from SfM- and lidar-derived DTMs. Case study results are compared to existing SfM validation studies in an attempt to deconstruct the principle components of an SfM error budget. This article is protected by copyright. All rights reserved.
Greater information capacity of source imagery was found to increase pixel matching quality, which produced 8 times greater point density and 6 times greater accuracy. When propagated through volumetric change analysis, individual DTM accuracy (6–37 cm) was sufficient to detect moderate geomorphic change (order 100,000 m3) on an unvegetated fluvial surface; change detection determined from repeat lidar and SfM surveys differed by about 10%. Simple camera selection criteria increased accuracy by 64%; configuration settings or image post-processing techniques increased point density by 5–25% and decreased processing time by 10–30%. This article is protected by copyright. All rights reserved.
Regression analysis of 67 reviewed datasets revealed that the best explanatory variable to predict accuracy of SfM data is photographic scale. Despite the prevalent use of object distance ratios to describe scale, nominal ground sample distance is shown to be a superior metric, explaining 68% of the variability in mean absolute vertical error.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.4066","usgsCitation":"Mosbrucker, A.R., Major, J.J., Spicer, K.R., and Pitlick, J., 2017, Camera system considerations for geomorphic applications of SfM photogrammetry: Earth Surface Processes and Landforms, v. 42, no. 6, p. 969-986, https://doi.org/10.1002/esp.4066.","productDescription":"18 p.","startPage":"969","endPage":"986","ipdsId":"IP-060527","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":330899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-03","publicationStatus":"PW","scienceBaseUri":"582443f4e4b09065cdf3051a","contributors":{"authors":[{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":627189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitlick, John","contributorId":168765,"corporation":false,"usgs":false,"family":"Pitlick","given":"John","email":"","affiliations":[{"id":25358,"text":"University of Colorado, Geography Dept., Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":627192,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70177026,"text":"70177026 - 2017 - Larval aquatic insect responses to cadmium and zinc in experimental streams","interactions":[],"lastModifiedDate":"2017-02-24T10:59:27","indexId":"70177026","displayToPublicDate":"2016-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Larval aquatic insect responses to cadmium and zinc in experimental streams","docAbstract":"To evaluate the risks of metal mixture effects to natural stream communities under ecologically relevant conditions, the authors conducted 30-d tests with benthic macroinvertebrates exposed to cadmium (Cd) and zinc (Zn) in experimental streams. The simultaneous exposures were with Cd and Zn singly and with Cd+Zn mixtures at environmentally relevant ratios. The tests produced concentration–response patterns that for individual taxa were interpreted in the same manner as classic single-species toxicity tests and for community metrics such as taxa richness and mayfly (Ephemeroptera) abundance were interpreted in the same manner as with stream survey data. Effect concentrations from the experimental stream exposures were usually 2 to 3 orders of magnitude lower than those from classic single-species tests. Relative to a response addition model, which assumes that the joint toxicity of the mixtures can be predicted from the product of their responses to individual toxicants, the Cd+Zn mixtures generally showed slightly less than additive toxicity. The authors applied a modeling approach called Tox to explore the mixture toxicity results and to relate the experimental stream results to field data. The approach predicts the accumulation of toxicants (hydrogen, Cd, and Zn) on organisms using a 2-pKa bidentate model that defines interactions between dissolved cations and biological receptors (biotic ligands) and relates that accumulation through a logistic equation to biological response. The Tox modeling was able to predict Cd+Zn mixture responses from the single-metal exposures as well as responses from field data. The similarity of response patterns between the 30-d experimental stream tests and field data supports the environmental relevance of testing aquatic insects in experimental streams.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.3599","usgsCitation":"Mebane, C.A., Schmidt, T., and Balistrieri, L.S., 2017, Larval aquatic insect responses to cadmium and zinc in experimental streams: Environmental Toxicology and Chemistry, v. 36, no. 3, p. 749-762, https://doi.org/10.1002/etc.3599.","productDescription":"14 p.","startPage":"749","endPage":"762","ipdsId":"IP-073601","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":329736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-19","publicationStatus":"PW","scienceBaseUri":"58088687e4b0f497e78e24c5","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":651034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70177060,"text":"70177060 - 2017 - Analysis of local slopes at the InSight landing site on Mars","interactions":[],"lastModifiedDate":"2017-10-16T14:31:07","indexId":"70177060","displayToPublicDate":"2016-10-11T13:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of local slopes at the InSight landing site on Mars","docAbstract":"To evaluate the topography of the surface within the InSight candidate landing ellipses, we generated Digital Terrain Models (DTMs) at lander scales and those appropriate for entry, descent, and landing simulations, along with orthoimages of both images in each stereopair, and adirectional slope images. These products were used to assess the distribution of slopes for each candidate ellipse and terrain type in the landing site region, paying particular attention to how these slopes impact InSight landing and engineering safety, and results are reported here. Overall, this region has extremely low slopes at 1-meter baseline scales and meets the safety constraints of the InSight lander. The majority of the landing ellipse has a mean slope at 1-meter baselines of 3.2°. In addition, a mosaic of HRSC, CTX, and HiRISE DTMs within the final landing ellipse (ellipse 9) was generated to support entry, descent, and landing simulations and evaluations. Several methods were tested to generate this mosaic and the NASA Ames Stereo Pipeline program dem_mosaic produced the best results. For the HRSC-CTX-HiRISE DTM mosaic, more than 99 % of the mosaic has slopes less than 15°, and the introduction of artificially high slopes along image seams was minimized.
","language":"English","publisher":"Springer","doi":"10.1007/s11214-016-0292-x","usgsCitation":"Fergason, R.L., Kirk, R.L., Cushing, G.E., Galuszka, D.M., Golombek, M.P., Hare, T.M., Howington-Kraus, E., Kipp, D.M., and Redding, B.L., 2017, Analysis of local slopes at the InSight landing site on Mars: Space Science Reviews, v. 211, no. 1-4, p. 109-133, https://doi.org/10.1007/s11214-016-0292-x.","productDescription":"25 p.","startPage":"109","endPage":"133","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-076541","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":329758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","issue":"1-4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"58088687e4b0f497e78e24c9","contributors":{"authors":[{"text":"Fergason, Robin L. 0000-0002-2044-1714 rfergason@usgs.gov","orcid":"https://orcid.org/0000-0002-2044-1714","contributorId":2753,"corporation":false,"usgs":true,"family":"Fergason","given":"Robin","email":"rfergason@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cushing, Glen E. 0000-0002-9673-8207 gcushing@usgs.gov","orcid":"https://orcid.org/0000-0002-9673-8207","contributorId":175449,"corporation":false,"usgs":true,"family":"Cushing","given":"Glen","email":"gcushing@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Golombek, Matthew P.","contributorId":175450,"corporation":false,"usgs":false,"family":"Golombek","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":651167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Howington-Kraus, Elpitha 0000-0001-5787-6554 ahowington@usgs.gov","orcid":"https://orcid.org/0000-0001-5787-6554","contributorId":2815,"corporation":false,"usgs":true,"family":"Howington-Kraus","given":"Elpitha","email":"ahowington@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651168,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kipp, Devin M","contributorId":175451,"corporation":false,"usgs":false,"family":"Kipp","given":"Devin","email":"","middleInitial":"M","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":651170,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Redding, Bonnie L. 0000-0001-8178-1467 bredding@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-1467","contributorId":4798,"corporation":false,"usgs":true,"family":"Redding","given":"Bonnie","email":"bredding@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651171,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70177068,"text":"70177068 - 2017 - Ion-adsorption REEs in regolith of the Liberty Hill pluton, South Carolina, USA: An effect of hydrothermal alteration","interactions":[],"lastModifiedDate":"2018-10-22T09:18:20","indexId":"70177068","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Ion-adsorption REEs in regolith of the Liberty Hill pluton, South Carolina, USA: An effect of hydrothermal alteration","docAbstract":"Ion-adsorbed rare earth element (REE) deposits supply the majority of world heavy REE production and substantial light REE production, but relatively little is known of their occurrence outside Southeast Asia. We examined the distribution and forms of REEs on a North American pluton located in the highly weathered and slowly eroding South Carolina Piedmont. The Hercynian Liberty Hill pluton experiences a modern climate that includes ~ 1500 mm annual rainfall and a mean annual temperature of 17 °C. The pluton is medium- to coarse-grained biotite-amphibole granite with minor biotite granite facies. REE-bearing phases are diverse and include monazite, zircon, titanite, allanite, apatite and bastnäsite. Weathered profiles were sampled up to 7 m-deep across the ~ 400 km2 pluton. In one profile, ion-adsorbed REEs plus yttrium (REE + Y) ranged up to 581 mg/kg and accounted for up to 77% of total REE + Y in saprolite. In other profiles, ion-adsorbed REE + Y ranged 12–194 mg/kg and only accounted for 3–37% of totals. The profile most enriched in ion-adsorbed REEs was located along the mapped boundary of two granite facies and contained trioctahedral smectite in the saprolite, evidence suggestive of hydrothermal alteration of biotite at that location. Post-emplacement deuteric alteration can generate easily weathered REE phases, particularly fluorocarbonates. In the case of Liberty Hill, hydrothermal alteration may have converted less soluble to more soluble REE minerals. Additionally, regolith P content was inversely correlated with the fraction ion-adsorbed REEs, and weathering related secondary REE-phosphates were found in some regolith profiles. Both patterns illustrate how low P content aids in the accumulation of ion-adsorbed REEs. The localized occurrence at Liberty Hill sheds light on conditions and processes that generate ion-adsorbed REEs.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2016.09.009","usgsCitation":"Bern, C., Yesavage, T., and Foley, N.K., 2017, Ion-adsorption REEs in regolith of the Liberty Hill pluton, South Carolina, USA: An effect of hydrothermal alteration: Journal of Geochemical Exploration, v. 172, p. 29-40, https://doi.org/10.1016/j.gexplo.2016.09.009.","productDescription":"12 p.","startPage":"29","endPage":"40","ipdsId":"IP-075234","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":470217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2016.09.009","text":"Publisher Index Page"},{"id":329737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Liberty Hill Pluton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.75818061828613,\n 34.49562815822762\n ],\n [\n -80.75818061828613,\n 34.50447006777167\n ],\n [\n -80.74298858642577,\n 34.50447006777167\n ],\n [\n -80.74298858642577,\n 34.49562815822762\n ],\n [\n -80.75818061828613,\n 34.49562815822762\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"172","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58088684e4b0f497e78e24b3","chorus":{"doi":"10.1016/j.gexplo.2016.09.009","url":"http://dx.doi.org/10.1016/j.gexplo.2016.09.009","publisher":"Elsevier BV","authors":"Bern Carleton R., Yesavage Tiffany, Foley Nora K.","journalName":"Journal of Geochemical Exploration","publicationDate":"1/2017"},"contributors":{"authors":[{"text":"Bern, Carleton R. cbern@usgs.gov","contributorId":657,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","email":"cbern@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":651205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yesavage, Tiffany","contributorId":175456,"corporation":false,"usgs":false,"family":"Yesavage","given":"Tiffany","affiliations":[{"id":27571,"text":"USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":651206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":651207,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176850,"text":"70176850 - 2017 - Characterizing the Kathmandu Valley sediment response through strong motion recordings of the 2015 Gorkha earthquake sequence","interactions":[],"lastModifiedDate":"2017-10-08T11:23:58","indexId":"70176850","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the Kathmandu Valley sediment response through strong motion recordings of the 2015 Gorkha earthquake sequence","docAbstract":"We analyze strong motion records and high-rate GPS measurements of the M 7.8 Gorkha mainshock, M 7.3 Dolakha, and two moderate aftershock events recorded at four stations on the Kathmandu basin sediments, and one on rock-outcrop. Recordings on soil from all four events show systematic amplification relative to the rock site at multiple frequencies in the 0.1–2.5 Hz frequency range, and de-amplification of higher frequencies ( >2.5–10 Hz). The soil-to-rock amplification ratios for the M 7.8 and M 7.3 events have lower amplitude and frequency peaks relative to the ratios of the two moderate events, effects that could be suggestive of nonlinear site response. Further, comparisons to ground motion prediction equations show that 1) both soil and rock mainshock recordings were severely depleted of high frequencies, and 2) the depletion at high frequencies is not present in the aftershocks. These observations indicate that the high frequency deamplification is additionally related to characteristics of the source that are not captured by simplified ground motion prediction equations, and allude to seismic hazard analysis models being revised – possibly by treating isolated high frequency radiation sources separately from long period components to capture large magnitude near-source events such as the 2015 Gorkha mainshock.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2016.09.030","usgsCitation":"Rajaure, S., Asimaki, D., Thompson, E.M., Hough, S.E., Martin, S., Ampuero, J., Dhital, M., Inbal, A., Takai, N., Shigefuji, M., Bijukchhen, S., Ichiyanagi, M., Sasatani, T., and Paudel, L., 2017, Characterizing the Kathmandu Valley sediment response through strong motion recordings of the 2015 Gorkha earthquake sequence: Tectonophysics, v. 714-715, p. 146-157, https://doi.org/10.1016/j.tecto.2016.09.030.","productDescription":"12 p.","startPage":"146","endPage":"157","ipdsId":"IP-076848","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tecto.2016.09.030","text":"Publisher Index Page"},{"id":329418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","otherGeospatial":"Kathmandu Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 85.07675170898438,\n 27.527758206861886\n ],\n [\n 85.07675170898438,\n 27.902203909304404\n ],\n [\n 85.59722900390625,\n 27.902203909304404\n ],\n [\n 85.59722900390625,\n 27.527758206861886\n ],\n [\n 85.07675170898438,\n 27.527758206861886\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"714-715","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe679be4b0824b2d1436f9","contributors":{"authors":[{"text":"Rajaure, S.","contributorId":147585,"corporation":false,"usgs":false,"family":"Rajaure","given":"S.","affiliations":[],"preferred":false,"id":650511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asimaki, Domniki","contributorId":146598,"corporation":false,"usgs":false,"family":"Asimaki","given":"Domniki","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":650512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":146592,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":650513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":650514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Stacey","contributorId":35165,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":650515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ampuero, J.P.","contributorId":175236,"corporation":false,"usgs":false,"family":"Ampuero","given":"J.P.","affiliations":[{"id":27544,"text":"California Institute of Technology, Pasadena, 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University","active":true,"usgs":false}],"preferred":false,"id":650519,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shigefuji, M.","contributorId":175240,"corporation":false,"usgs":false,"family":"Shigefuji","given":"M.","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":650520,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bijukchhen, S","contributorId":175241,"corporation":false,"usgs":false,"family":"Bijukchhen","given":"S","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":650521,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ichiyanagi, M","contributorId":175242,"corporation":false,"usgs":false,"family":"Ichiyanagi","given":"M","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":650522,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sasatani, T","contributorId":175243,"corporation":false,"usgs":false,"family":"Sasatani","given":"T","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":650523,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Paudel, L","contributorId":175244,"corporation":false,"usgs":false,"family":"Paudel","given":"L","email":"","affiliations":[{"id":27545,"text":"Tribhvan University","active":true,"usgs":false}],"preferred":false,"id":650524,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70182779,"text":"70182779 - 2017 - Migratory delay leads to reduced passage success of Atlantic salmon smolts at a hydroelectric dam","interactions":[],"lastModifiedDate":"2017-09-11T13:00:05","indexId":"70182779","displayToPublicDate":"2016-10-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Migratory delay leads to reduced passage success of Atlantic salmon smolts at a hydroelectric dam","docAbstract":"Passage of fish through hydropower dams is associated with mortality, delay, increased energy expenditure and migratory failure for migrating fish and the need for remedial measures for both upstream and downstream migration is widely recognised. A functional fish passage must ensure safe and timely passage routes that a substantial portion of migrating fish will use. Passage solutions must address not only the number or percentage of fish that successfully pass a barrier, but also the time it takes to pass. Here, we used radiotelemetry to study the functionality of a fish bypass for downstream-migrating wild-caught and hatchery-released Atlantic salmon smolts. We used time-to-event analysis to model the influence of fish characteristics and environmental variables on the rates of a series of events associated with dam passage. Among the modelled events were approach rate to the bypass entry zone, retention rates in both the forebay and the entry zone and passage rates. Despite repeated attempts, only 65% of the tagged fish present in the forebay passed the dam. Fish passed via the bypass (33%), via spill (18%) and via turbines (15%). Discharge was positively related to approach, passage and retention rates. We did not detect any differences between wild and hatchery fish. Even though individual fish visited the forebay and the entry zone on multiple occasions, most fish passed during the first exposures to these zones. This study underscores the importance of timeliness to passage success and the usefulness of time-to-event analysis for understanding factors governing passage performance.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12318","usgsCitation":"Nyqvist, D., Greenberg, L., Goerig, E., Calles, O., Bergman, E., Ardren, W.R., and Castro-Santos, T.R., 2017, Migratory delay leads to reduced passage success of Atlantic salmon smolts at a hydroelectric dam: Ecology of Freshwater Fish, v. 26, no. 4, p. 707-718, https://doi.org/10.1111/eff.12318.","productDescription":"12 p.","startPage":"707","endPage":"718","ipdsId":"IP-074189","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":336750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-10","publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500bafb","contributors":{"authors":[{"text":"Nyqvist, Daniel","contributorId":184175,"corporation":false,"usgs":false,"family":"Nyqvist","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":673719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greenberg, L.","contributorId":184176,"corporation":false,"usgs":false,"family":"Greenberg","given":"L.","email":"","affiliations":[],"preferred":false,"id":673720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goerig, E.","contributorId":184177,"corporation":false,"usgs":false,"family":"Goerig","given":"E.","affiliations":[],"preferred":false,"id":673721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calles, O.","contributorId":184178,"corporation":false,"usgs":false,"family":"Calles","given":"O.","email":"","affiliations":[],"preferred":false,"id":673722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergman, E.","contributorId":184179,"corporation":false,"usgs":false,"family":"Bergman","given":"E.","email":"","affiliations":[],"preferred":false,"id":673723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ardren, William R.","contributorId":184180,"corporation":false,"usgs":false,"family":"Ardren","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":673724,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":673718,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70182797,"text":"70182797 - 2017 - Channel-planform evolution in four rivers of Olympic National Park, Washington, U.S.A.: The roles of physical drivers and trophic cascades","interactions":[],"lastModifiedDate":"2017-12-04T11:41:40","indexId":"70182797","displayToPublicDate":"2016-10-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Channel-planform evolution in four rivers of Olympic National Park, Washington, U.S.A.: The roles of physical drivers and trophic cascades","docAbstract":"Identifying the relative contributions of physical and ecological processes to channel evolution remains a substantial challenge in fluvial geomorphology. We use a 74-year aerial photographic record of the Hoh, Queets, Quinault, and Elwha Rivers, Olympic National Park, Washington, U.S.A., to investigate whether physical or trophic-cascade-driven ecological factors—excessive elk impacts after wolves were extirpated a century ago—are the dominant controls on channel planform of these gravel-bed rivers. We find that channel width and braiding show strong relationships with recent flood history. All four rivers have widened significantly in recent decades, consistent with increased flood activity since the 1970s. Channel planform also reflects sediment-supply changes, evident from landslide response on the Elwha River. We surmise that the Hoh River, which shows a multi-decadal trend toward greater braiding, is adjusting to increased sediment supply associated with rapid glacial retreat. In this sediment-routing system with high connectivity, such climate-driven signals appear to propagate downstream without being buffered substantially by sediment storage. Legacy effects of anthropogenic modification likely also affect the Quinault River planform. \nWe infer no correspondence between channel geomorphic evolution and elk abundance, suggesting that trophic-cascade effects in this setting are subsidiary to physical controls on channel morphology. Our findings differ from previous interpretations of Olympic National Park fluvial dynamics and contrast with the classic example of Yellowstone National Park, where legacy effects of elk overuse are apparent in channel morphology; we attribute these differences to hydrologic regime and large-wood availability.","language":"English","publisher":"Wiley","doi":"10.1002/esp.4048","usgsCitation":"East, A., Jenkins, K.J., Happe, P.J., Bountry, J.A., Beechie, T.J., Mastin, M.C., Sankey, J.B., and Randle, T.J., 2017, Channel-planform evolution in four rivers of Olympic National Park, Washington, U.S.A.: The roles of physical drivers and trophic cascades: Earth Surface Processes and Landforms, v. 42, no. 7, p. 1011-1032, https://doi.org/10.1002/esp.4048.","productDescription":"22 p.","startPage":"1011","endPage":"1032","ipdsId":"IP-073218","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine 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A.","contributorId":30114,"corporation":false,"usgs":false,"family":"Bountry","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":673783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":673784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science 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growth model","interactions":[],"lastModifiedDate":"2017-02-24T11:02:04","indexId":"70176698","displayToPublicDate":"2016-10-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating temporal heterogeneity in environmental conditions into a somatic growth model","docAbstract":"Evaluating environmental effects on fish growth can be challenging because environmental conditions may vary at relatively fine temporal scales compared to sampling occasions. Here we develop a Bayesian state-space growth model to evaluate effects of monthly environmental data on growth of fish that are observed less frequently (e.g., from mark-recapture data where time between captures can range from months to years). We assess effects of temperature, turbidity duration, food availability, flow variability, and trout abundance on subadult humpback chub (Gila cypha) growth in two rivers, the Colorado River (CR) and the Little Colorado River (LCR), and we use out-of-sample prediction to rank competing models. Environmental covariates explained a high proportion of the variation in growth in both rivers; however, the best growth models were river-specific and included either positive temperature and turbidity duration effects (CR) or positive temperature and food availability effects (LCR). Our approach to analyzing environmental controls on growth should be applicable in other systems where environmental data vary over relatively short time scales compared to animal observations.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0056","usgsCitation":"Dzul, M.C., Yackulic, C.B., Korman, J., Yard, M., and Muehlbauer, J.D., 2017, Incorporating temporal heterogeneity in environmental conditions into a somatic growth model: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 3, p. 316-326, https://doi.org/10.1139/cjfas-2016-0056.","productDescription":"11 p.","startPage":"316","endPage":"326","ipdsId":"IP-070285","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470220,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/73929","text":"External Repository"},{"id":329259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c820","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":649924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":649925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":649926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":2889,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","email":"myard@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":649927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muehlbauer, Jeffrey D. 0000-0003-1808-580X jmuehlbauer@usgs.gov","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":5045,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","email":"jmuehlbauer@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":649928,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176711,"text":"70176711 - 2017 - Golden Eagle fatalities and the continental-scale consequences of local wind-energy generation","interactions":[],"lastModifiedDate":"2017-11-22T17:05:33","indexId":"70176711","displayToPublicDate":"2016-10-03T14:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Golden Eagle fatalities and the continental-scale consequences of local wind-energy generation","docAbstract":"Renewable energy production is expanding rapidly despite mostly unknown environmental effects on wildlife and habitats. We used genetic and stable isotope data collected from Golden Eagles (Aquila chrysaetos) killed at the Altamont Pass Wind Resource Area (APWRA) in California in demographic models to test hypotheses about the geographic extent and demographic consequences of fatalities caused by renewable energy facilities. Geospatial analyses of δ2H values obtained from feathers showed that ≥25% of these APWRA-killed eagles were recent immigrants to the population, most from long distances away (>100 km). Data from nuclear genes indicated this subset of immigrant eagles was genetically similar to birds identified as locals from the δ2H data. Demographic models implied that in the face of this mortality, the apparent stability of the local Golden Eagle population was maintained by continental-scale immigration. These analyses demonstrate that ecosystem management decisions concerning the effects of local-scale renewable energy can have continental-scale consequences.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.12836","usgsCitation":"Katzner, T., Nelson, D.M., Braham, M., Doyle, J.M., Fernandez, N.B., Duerr, A.E., Bloom, P., Fitzpatrick, M.C., Miller, T., Culver, R.C., Braswell, L., and DeWoody, J.A., 2017, Golden Eagle fatalities and the continental-scale consequences of local wind-energy generation: Conservation Biology, v. 31, no. 2, p. 406-415, https://doi.org/10.1111/cobi.12836.","productDescription":"10 p.","startPage":"406","endPage":"415","ipdsId":"IP-068630","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":329239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-27","publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c826","chorus":{"doi":"10.1111/cobi.12836","url":"http://dx.doi.org/10.1111/cobi.12836","publisher":"Wiley-Blackwell","authors":"Katzner Todd E., Nelson David M., Braham Melissa A., Doyle Jacqueline M., Fernandez Nadia B., Duerr Adam E., Bloom Peter H., Fitzpatrick Matthew C., Miller Tricia A., Culver Renee C. E., Braswell Loan, DeWoody J. Andrew","journalName":"Conservation Biology","publicationDate":"9/27/2016","publiclyAccessibleDate":"9/27/2016"},"contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":649961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, David M.","contributorId":175098,"corporation":false,"usgs":false,"family":"Nelson","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":649962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braham, Melissa A.","contributorId":140127,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":649963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doyle, Jacqueline M.","contributorId":175099,"corporation":false,"usgs":false,"family":"Doyle","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":649964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fernandez, Nadia B.","contributorId":175100,"corporation":false,"usgs":false,"family":"Fernandez","given":"Nadia","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":649965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duerr, Adam E.","contributorId":102324,"corporation":false,"usgs":true,"family":"Duerr","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":649966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bloom, Peter H.","contributorId":42829,"corporation":false,"usgs":true,"family":"Bloom","given":"Peter H.","affiliations":[],"preferred":false,"id":649967,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fitzpatrick, Matthew C.","contributorId":53299,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":649968,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Tricia A.","contributorId":64790,"corporation":false,"usgs":true,"family":"Miller","given":"Tricia A.","affiliations":[],"preferred":false,"id":649969,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Culver, Renee C. E.","contributorId":175101,"corporation":false,"usgs":false,"family":"Culver","given":"Renee","email":"","middleInitial":"C. E.","affiliations":[],"preferred":false,"id":649970,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Braswell, Loan","contributorId":175102,"corporation":false,"usgs":false,"family":"Braswell","given":"Loan","email":"","affiliations":[],"preferred":false,"id":649971,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"DeWoody, J. 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Salt marsh obligate species, such as those that occupy the San Francisco Bay Estuary in western North America, occupy already impaired habitats as result of human development and modifications and are highly susceptible to increased habitat loss and fragmentation due to global climate change. We examined the genetic variation of the California Ridgway’s rail (Rallus obsoletus obsoletus), a state and federally endangered species that occurs within the fragmented salt marsh of the San Francisco Bay Estuary. We genotyped 107 rails across 11 microsatellite loci and a single mitochondrial gene to estimate genetic diversity and population structure among seven salt marsh fragments and assessed demographic connectivity by inferring patterns of gene flow and migration rates. We found pronounced genetic structuring among four geographically separate genetic clusters across the San Francisco Bay. Gene flow analyses supported a stepping stone model of gene flow from south-to-north. However, contemporary gene flow among the regional embayments was low. Genetic diversity among occupied salt marshes and genetic clusters were not significantly different. We detected low effective population sizes and significantly high relatedness among individuals within salt marshes. Preserving genetic diversity and connectivity throughout the San Francisco Bay may require attention to salt marsh restoration in the Central Bay where habitat is both most limited and most fragmented. Incorporating periodic genetic sampling into the management regime may help evaluate population trends and guide long-term management priorities.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-016-0888-4","usgsCitation":"Wood, D.A., Bui, T.D., Overton, C.T., Vandergast, A.G., Casazza, M.L., Hull, J.M., and Takekawa, J.Y., 2017, A century of landscape disturbance and urbanization of the San Francisco Bay region affects the present-day genetic diversity of the California Ridgway’s rail (Rallus obsoletus obsoletus): Conservation Genetics, v. 18, no. 1, p. 131-146, https://doi.org/10.1007/s10592-016-0888-4.","productDescription":"16 p.","startPage":"131","endPage":"146","ipdsId":"IP-073165","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":438464,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HD7SQ0","text":"USGS data release","linkHelpText":"A Century of Landscape Disturbance and Urbanization of the San Francisco Bay Region affects the Present-day Genetic Diversity of the California Ridgways Rail (Rallus obsoletus obsoletus)."},{"id":335972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.512603759766,\n 37.4663467407227\n ],\n [\n -122.122543334961,\n 37.4663467407227\n ],\n [\n -122.122543334961,\n 38.1132125854492\n ],\n [\n -122.512603759766,\n 38.1132125854492\n ],\n [\n -122.512603759766,\n 37.4663467407227\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento 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avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":670190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":670194,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hull, Joshua M.","contributorId":127686,"corporation":false,"usgs":false,"family":"Hull","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":670195,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":670196,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70178522,"text":"70178522 - 2017 - Disentangling density-dependent dynamics using full annual cycle models and Bayesian model weight updating","interactions":[],"lastModifiedDate":"2017-03-22T14:56:18","indexId":"70178522","displayToPublicDate":"2016-09-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling density-dependent dynamics using full annual cycle models and Bayesian model weight updating","docAbstract":"A pipeline carrying acidic mine effluent at Iron Mountain, CA, developed Fe(III)-rich precipitate caused by oxidation of Fe(II)aq. The native microbial community in the pipe included filamentous microbes. The pipe scale consisted of microbial filaments, and schwertmannite (ferric oxyhydroxysulfate, FOHS) mineral spheres and filaments. FOHS filaments contained central lumina with diameters similar to those of microbial filaments. FOHS filament geometry, the geochemical environment, and the presence of filamentous microbes suggest that FOHS filaments are mineralized microbial filaments. This formation of textural biosignatures provides the basis for a conceptual model for the development and preservation of biosignatures in other environments.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01490451.2016.1155679","usgsCitation":"Williams, A.J., Alpers, C.N., Sumner, D.Y., and Campbell, K.M., 2017, Filamentous hydrous ferric oxide biosignatures in a pipeline carrying acid mine drainage at Iron Mountain Mine, California: Geomicrobiology Journal, v. 34, no. 3, p. 193-206, https://doi.org/10.1080/01490451.2016.1155679.","productDescription":"14 p.","startPage":"193","endPage":"206","ipdsId":"IP-064520","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":328933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-16","publicationStatus":"PW","scienceBaseUri":"57f7c63ce4b0bc0bec09c858","contributors":{"authors":[{"text":"Williams, Amy J.","contributorId":138805,"corporation":false,"usgs":false,"family":"Williams","given":"Amy","email":"","middleInitial":"J.","affiliations":[{"id":12532,"text":"Univ. of California, Davis","active":true,"usgs":false}],"preferred":false,"id":649542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":649543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sumner, Dawn Y.","contributorId":88997,"corporation":false,"usgs":true,"family":"Sumner","given":"Dawn","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":649544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":649545,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176646,"text":"70176646 - 2017 - Effect of body size and temperature on respiration of Galaxias maculatus (Pisces: Galaxiidae)","interactions":[],"lastModifiedDate":"2017-05-02T14:27:13","indexId":"70176646","displayToPublicDate":"2016-09-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2870,"text":"New Zealand Journal of Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Effect of body size and temperature on respiration of Galaxias maculatus (Pisces: Galaxiidae)","docAbstract":"Body mass and temperature are primary determinants of metabolic rate in ectothermic animals. Oxygen consumption of post-larval Galaxias maculatus was measured in respirometry trials under different temperatures (5–21°C) and varying body masses (0.1–>1.5 g) spanning a relevant range of thermal conditions and sizes. Specific respiration rates (R in g O2 g−1 d−1) declined as a power function of body mass and increased exponentially with temperature and was expressed as: R = 0.0007 * W −0.31 * e 0.13 * T. The ability of this model to predict specific respiration rate was evaluated by comparing observed values with those predicted by the model. Our findings suggest that the respiration rate of G. maculatus is the result of multiple interactive processes (intrinsic and extrinsic factors) that modulate each other in ‘meta-mechanistic’ ways; this would help to explain the species’ ability to undergo the complex ontogenetic habitat shifts observed in the lakes of the Andean Patagonic range.
","language":"English","publisher":"The Royal Society of New Zealand","doi":"10.1080/00288330.2016.1231127","usgsCitation":"Milano, D., Vigliano, P., and Beauchamp, D.A., 2017, Effect of body size and temperature on respiration of Galaxias maculatus (Pisces: Galaxiidae): New Zealand Journal of Marine and Freshwater Research, v. 52, no. 2, p. 295-303, https://doi.org/10.1080/00288330.2016.1231127.","productDescription":"9 p.","startPage":"295","endPage":"303","ipdsId":"IP-078952","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470224,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1080/00288330.2016.1231127","text":"External Repository"},{"id":328909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-20","publicationStatus":"PW","scienceBaseUri":"57ed48afe4b090825011d4d1","contributors":{"authors":[{"text":"Milano, D.","contributorId":174862,"corporation":false,"usgs":false,"family":"Milano","given":"D.","email":"","affiliations":[{"id":27524,"text":"Universidad Nacional del Comahue, Quintral, Bariloche, Argentia","active":true,"usgs":false}],"preferred":false,"id":649467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vigliano, P.H.","contributorId":174863,"corporation":false,"usgs":false,"family":"Vigliano","given":"P.H.","email":"","affiliations":[{"id":27525,"text":"Universidad Nacional del Comahue. Bariloche, Argentina","active":true,"usgs":false}],"preferred":false,"id":649468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":649466,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176524,"text":"70176524 - 2017 - Sea-level rise and coastal groundwater inundation and shoaling at select sites in California, USA","interactions":[],"lastModifiedDate":"2017-07-25T12:50:36","indexId":"70176524","displayToPublicDate":"2016-09-20T16:20:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Sea-level rise and coastal groundwater inundation and shoaling at select sites in California, USA","docAbstract":"The study region spans coastal California, USA, and focuses on three primary sites: Arcata, Stinson Beach, and Malibu Lagoon.
1 m and 2 m sea-level rise (SLR) projections were used to assess vulnerability to SLR-driven groundwater emergence and shoaling at select low-lying, coastal sites in California. Separate and combined inundation scenarios for SLR and groundwater emergence were developed using digital elevation models of study site topography and groundwater surfaces constructed from well data or published groundwater level contours.
SLR impacts are a serious concern in coastal California which has a long (∼1800 km) and populous coastline. Information on the possible importance of SLR-driven groundwater inundation in California is limited. In this study, the potential for SLR-driven groundwater inundation at three sites (Arcata, Stinson Beach, and Malibu Lagoon) was investigated under 1 m and 2 m SLR scenarios. These sites provide insight into the vulnerability of Northern California coastal plains, coastal developments built on beach sand or sand spits, and developed areas around coastal lagoons associated with seasonal streams and berms. Northern California coastal plains with abundant shallow groundwater likely will see significant and widespread groundwater emergence, while impacts along the much drier central and southern California coast may be less severe due to the absence of shallow groundwater in many areas. Vulnerability analysis is hampered by the lack of data on shallow coastal aquifers, which commonly are not studied because they are not suitable for domestic or agricultural use. Shallow saline aquifers may be present in many areas along coastal California, which would dramatically increase vulnerability to SLR-driven groundwater emergence and shoaling. Improved understanding of the extent and response of California coastal aquifers to SLR will help in preparing for mitigation and adaptation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.12.055","usgsCitation":"Hoover, D.J., Odigie, K., Swarzenski, P.W., and Barnard, P., 2017, Sea-level rise and coastal groundwater inundation and shoaling at select sites in California, USA: Journal of Hydrology: Regional Studies, v. 11, p. 234-249, https://doi.org/10.1016/j.ejrh.2015.12.055.","productDescription":"16 p.","startPage":"234","endPage":"249","ipdsId":"IP-068144","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470225,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.12.055","text":"Publisher Index Page"},{"id":328775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":649097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649098,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176504,"text":"70176504 - 2017 - Habitat selection by postbreeding female diving ducks: Influence of habitat attributes and conspecifics","interactions":[],"lastModifiedDate":"2017-03-03T11:11:45","indexId":"70176504","displayToPublicDate":"2016-09-19T15:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Habitat selection by postbreeding female diving ducks: Influence of habitat attributes and conspecifics","docAbstract":"Habitat selection studies of postbreeding waterfowl have rarely focused on within-wetland attributes such as water depth, escape cover, and food availability. Flightless waterfowl must balance habitat selection between avoiding predation risks and feeding. Reproductively successful female ducks face the greatest challenges because they begin the definitive prebasic molt at or near the end of brood rearing, when their body condition is at a low point. We assessed the relative importance of habitat attributes and group effects in habitat selection by postbreeding female lesser scaup Aythya affinis on a 2332-ha montane wetland complex during the peak flightless period (August) over seven years. Hypothesis-based habitat attributes included percent open water, open water:emergent edge density, water depth, percent flooded bare substrate, fetch (distance wind can travel unobstructed), group size, and several interactions representing functional responses to interannual variation in water levels. Surveys of uniquely marked females were conducted within randomly ordered survey blocks. We fitted two-part generalized linear mixed-effects models to counts of marked females within survey blocks, which allowed us to relate habitat attributes to relative probability of occurrence and, given the presence of a marked female, abundance of marked individuals. Postbreeding female scaup selected areas with water depths > 40 cm, large open areas, and intermediate edge densities but showed no relation to flooded bare substrate, suggesting their habitat preferences were more influenced by avoiding predation risks and disturbances than in meeting foraging needs. Grouping behavior by postbreeding scaup suggests habitat selection is influenced in part by behavioral components and/or social information, conferring energetic and survival benefits (predation and disturbance risks) but potentially also contributing to competition for food resources. This study demonstrates the importance of incorporating group effects and interannual variability in habitat conditions when investigating habitat selection, particularly for seasons when waterfowl are aggregated.
","language":"English","publisher":"Wiley","doi":"10.1111/jav.01063","usgsCitation":"Austin, J.E., O’Neil, S.T., and Warren, J.M., 2017, Habitat selection by postbreeding female diving ducks: Influence of habitat attributes and conspecifics: Journal of Avian Biology, v. 48, no. 2, p. 295-308, https://doi.org/10.1111/jav.01063.","productDescription":"14 p.","startPage":"295","endPage":"308","ipdsId":"IP-071346","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-07","publicationStatus":"PW","scienceBaseUri":"57f7c63de4b0bc0bec09c88c","chorus":{"doi":"10.1111/jav.01063","url":"http://dx.doi.org/10.1111/jav.01063","publisher":"Wiley-Blackwell","authors":"Austin Jane E., O'Neil Shawn T., Warren Jeffrey M.","journalName":"Journal of Avian Biology","publicationDate":"9/2016","publiclyAccessibleDate":"9/7/2016"},"contributors":{"authors":[{"text":"Austin, Jane E. jaustin@usgs.gov","contributorId":2839,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":649010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Neil, Shawn T.","contributorId":62533,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":649011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warren, Jeffrey M.","contributorId":16297,"corporation":false,"usgs":true,"family":"Warren","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":649012,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176474,"text":"70176474 - 2017 - Geomorphic change and sediment transport during a small artificial flood in a transformed post-dam delta: The Colorado River delta, United States and Mexico","interactions":[],"lastModifiedDate":"2017-08-27T18:38:46","indexId":"70176474","displayToPublicDate":"2016-09-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic change and sediment transport during a small artificial flood in a transformed post-dam delta: The Colorado River delta, United States and Mexico","docAbstract":"The Colorado River delta is a dramatically transformed landscape. Major changes to river hydrology and morpho-dynamics began following completion of Hoover Dam in 1936. Today, the Colorado River has an intermittent and/or ephemeral channel in much of its former delta. Initial incision of the river channel in the upstream ∼50 km of the delta occurred in the early 1940s in response to spillway releases from Hoover Dam under conditions of drastically reduced sediment supply. A period of relative quiescence followed, until the filling of upstream reservoirs precipitated a resurgence of flows to the delta in the 1980s and 1990s. Flow releases during extreme upper basin snowmelt in the 1980s, flood flows from the Gila River basin in 1993, and a series of ever-decreasing peak flows in the late 1990s and early 2000s further incised the upstream channel and caused considerable channel migration throughout the river corridor. These variable magnitude post-dam floods shaped the modern river geomorphology. In 2014, an experimental pulse-flow release aimed at rejuvenating the riparian ecosystem and understanding hydrologic dynamics flowed more than 100 km through the length of the delta’s river corridor. This small artificial flood caused localized meter-scale scour and fill of the streambed, but did not cause further incision or significant bank erosion because of its small magnitude. Suspended-sand-transport rates were initially relatively high immediately downstream from the Morelos Dam release point, but decreasing discharge from infiltration losses combined with channel widening downstream caused a rapid downstream reduction in suspended-sand-transport rates. A zone of enhanced transport occurred downstream from the southern U.S.-Mexico border where gradient increased, but effectively no geomorphic change occurred beyond a point 65 km downstream from Morelos Dam. Thus, while the pulse flow connected with the modern estuary, deltaic sedimentary processes were not restored, and relatively few new open surfaces were created for establishment of native riparian vegetation. Because water in the Colorado River basin is completely allocated, exceptional floods from the Gila River basin are the most likely mechanism for major changes to delta geomorphology for the foreseeable future.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecoleng.2016.08.009","usgsCitation":"Mueller, E.R., Schmidt, J.C., Topping, D.J., Shafroth, P.B., Rodriguez-Burgueno, J.E., Ramírez-Hernández, J., and Grams, P.E., 2017, Geomorphic change and sediment transport during a small artificial flood in a transformed post-dam delta: The Colorado River delta, United States and Mexico: Ecological Engineering, v. 106, no. B, p. 757-775, https://doi.org/10.1016/j.ecoleng.2016.08.009.","productDescription":"19 p.","startPage":"757","endPage":"775","ipdsId":"IP-075096","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2016.08.009","text":"Publisher Index Page"},{"id":328691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Colorado River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.52099609375,\n 31.330178972184655\n ],\n [\n -116.52099609375,\n 33.87497640410958\n ],\n [\n -113.9117431640625,\n 33.87497640410958\n ],\n [\n -113.9117431640625,\n 31.330178972184655\n ],\n [\n -116.52099609375,\n 31.330178972184655\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c63fe4b0bc0bec09c8a5","contributors":{"authors":[{"text":"Mueller, Erich R. 0000-0001-8202-154X emueller@usgs.gov","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":4930,"corporation":false,"usgs":true,"family":"Mueller","given":"Erich","email":"emueller@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":648884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":648885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":648886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":648887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez-Burgueno, Jesus Eliana","contributorId":174651,"corporation":false,"usgs":false,"family":"Rodriguez-Burgueno","given":"Jesus","email":"","middleInitial":"Eliana","affiliations":[],"preferred":false,"id":648888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramírez-Hernández, Jorge","contributorId":24264,"corporation":false,"usgs":true,"family":"Ramírez-Hernández","given":"Jorge","affiliations":[],"preferred":false,"id":648889,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":648890,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176589,"text":"70176589 - 2017 - Lineage diversification of fringe-toed lizards (Phrynosomatidae: Uma notata complex) in the Colorado Desert: Delimiting species in the presence of gene flow","interactions":[],"lastModifiedDate":"2016-11-10T09:12:39","indexId":"70176589","displayToPublicDate":"2016-09-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2779,"text":"Molecular Phylogenetics and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Lineage diversification of fringe-toed lizards (Phrynosomatidae: Uma notata complex) in the Colorado Desert: Delimiting species in the presence of gene flow","docAbstract":"Multi-locus nuclear DNA data were used to delimit species of fringe-toed lizards of theUma notata complex, which are specialized for living in wind-blown sand habitats in the deserts of southwestern North America, and to infer whether Quaternary glacial cycles or Tertiary geological events were important in shaping the historical biogeography of this group. We analyzed ten nuclear loci collected using Sanger sequencing and genome-wide sequence and single-nucleotide polymorphism (SNP) data collected using restriction-associated DNA (RAD) sequencing. A combination of species discovery methods (concatenated phylogenies, parametric and non-parametric clustering algorithms) and species validation approaches (coalescent-based species tree/isolation-with-migration models) were used to delimit species, infer phylogenetic relationships, and to estimate effective population sizes, migration rates, and speciation times. Uma notata, U. inornata, U. cowlesi, and an undescribed species from Mohawk Dunes, Arizona (U. sp.) were supported as distinct in the concatenated analyses and by clustering algorithms, and all operational taxonomic units were decisively supported as distinct species by ranking hierarchical nested speciation models with Bayes factors based on coalescent-based species tree methods. However, significant unidirectional gene flow (2NM >1) from U. cowlesi and U. notata into U. rufopunctata was detected under the isolation-with-migration model. Therefore, we conservatively delimit four species-level lineages within this complex (U. inornata, U. notata, U. cowlesi, and U. sp.), treating U. rufopunctata as a hybrid population (U. notata x cowlesi). Both concatenated and coalescent-based estimates of speciation times support the hypotheses that speciation within the complex occurred during the late Pleistocene, and that the geological evolution of the Colorado River delta during this period was an important process shaping the observed phylogeographic patterns.
","language":"English","publisher":"Academic Press","publisherLocation":"Orlando, FL","doi":"10.1016/j.ympev.2016.09.008","usgsCitation":"Gottscho, A.D., Wood, D.A., Vandergast, A.G., Lemos Espinal, J.A., Gatesy, J., and Reeder, T., 2017, Lineage diversification of fringe-toed lizards (Phrynosomatidae: Uma notata complex) in the Colorado Desert: Delimiting species in the presence of gene flow: Molecular Phylogenetics and Evolution, v. 106, p. 103-117, https://doi.org/10.1016/j.ympev.2016.09.008.","productDescription":"15 p.","startPage":"103","endPage":"117","ipdsId":"IP-073166","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470227,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ympev.2016.09.008","text":"Publisher Index Page"},{"id":328848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.88281249999999,\n 30.097613277217132\n ],\n [\n -119.88281249999999,\n 36.87962060502676\n ],\n [\n -110.8740234375,\n 36.87962060502676\n ],\n [\n -110.8740234375,\n 30.097613277217132\n ],\n [\n -119.88281249999999,\n 30.097613277217132\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c63ce4b0bc0bec09c868","contributors":{"authors":[{"text":"Gottscho, Andrew D.","contributorId":49284,"corporation":false,"usgs":true,"family":"Gottscho","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":649285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lemos Espinal, Julio A.","contributorId":167616,"corporation":false,"usgs":false,"family":"Lemos Espinal","given":"Julio","email":"","middleInitial":"A.","affiliations":[{"id":24782,"text":"Avenida De Los Barrios No. 1, Col. 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Smaller model areas can use local map coordinates, such as State Plane (United States) or Universal Transverse Mercator (correct zone) without introducing large errors. Map projections vary in order to preserve one or more of the following properties: area, shape, distance (length), or direction. Numerous map projections are developed for different purposes as all four properties cannot be preserved simultaneously. Preservation of area and length are most critical for groundwater models. The Albers equal-area conic projection with custom standard parallels, selected by dividing the length north to south by 6 and selecting standard parallels 1/6th above or below the southern and northern extent, preserves both area and length for continental areas in mid latitudes oriented east-west. Custom map projection parameters can also minimize area and length error in non-ideal projections. Additionally, one must also use consistent vertical and horizontal datums for all geographic data. The generalized polygon for the Floridan aquifer system study area (306,247.59 km2) is used to provide quantitative examples of the effect of map projections on length and area with different projections and parameter choices. Use of improper map projection is one model construction problem easily avoided.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12450","usgsCitation":"Kuniansky, E.L., 2017, Custom map projections for regional groundwater models: Groundwater, v. 55, no. 2, p. 255-260, https://doi.org/10.1111/gwat.12450.","productDescription":"6 p.","startPage":"255","endPage":"260","ipdsId":"IP-071775","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":470228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12450","text":"Publisher Index Page"},{"id":328638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"57da66a2e4b090824ffb1646","contributors":{"authors":[{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":648761,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70176413,"text":"70176413 - 2017 - Quantification of storm-induced bathymetric change in a back-barrier estuary","interactions":[],"lastModifiedDate":"2017-01-03T16:13:51","indexId":"70176413","displayToPublicDate":"2016-09-13T09:55:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Quantification of storm-induced bathymetric change in a back-barrier estuary","docAbstract":"Geomorphology is a fundamental control on ecological and economic function of estuaries. However, relative to open coasts, there has been little quantification of storm-induced bathymetric change in back-barrier estuaries. Vessel-based and airborne bathymetric mapping can cover large areas quickly, but change detection is difficult because measurement errors can be larger than the actual changes over the storm timescale. We quantified storm-induced bathymetric changes at several locations in Chincoteague Bay, Maryland/Virginia, over the August 2014 to July 2015 period using fixed, downward-looking altimeters and numerical modeling. At sand-dominated shoal sites, measurements showed storm-induced changes on the order of 5 cm, with variability related to stress magnitude and wind direction. Numerical modeling indicates that the predominantly northeasterly wind direction in the fall and winter promotes southwest-directed sediment transport, causing erosion of the northern face of sandy shoals; southwesterly winds in the spring and summer lead to the opposite trend. Our results suggest that storm-induced estuarine bathymetric change magnitudes are often smaller than those detectable with methods such as LiDAR. More precise fixed-sensor methods have the ability to elucidate the geomorphic processes responsible for modulating estuarine bathymetry on the event and seasonal timescale, but are limited spatially. Numerical modeling enables interpretation of broad-scale geomorphic processes and can be used to infer the long-term trajectory of estuarine bathymetric change due to episodic events, when informed by fixed-sensor methods.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-016-0138-5","usgsCitation":"Ganju, N., Suttles, S.E., Beudin, A., Nowacki, D.J., Miselis, J.L., and Andrews, B., 2017, Quantification of storm-induced bathymetric change in a back-barrier estuary: Estuaries and Coasts, v. 40, no. 1, p. 22-36, https://doi.org/10.1007/s12237-016-0138-5.","productDescription":"15 p.","startPage":"22","endPage":"36","ipdsId":"IP-074709","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470229,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-016-0138-5","text":"Publisher Index Page"},{"id":328580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.509033203125,\n 37.85316995894978\n ],\n [\n -75.509033203125,\n 38.32549778247211\n ],\n [\n -75.08193969726562,\n 38.32549778247211\n ],\n [\n -75.08193969726562,\n 37.85316995894978\n ],\n [\n -75.509033203125,\n 37.85316995894978\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-26","publicationStatus":"PW","scienceBaseUri":"57d91528e4b090824ff9fa3d","chorus":{"doi":"10.1007/s12237-016-0138-5","url":"http://dx.doi.org/10.1007/s12237-016-0138-5","publisher":"Springer Nature","authors":"Ganju Neil K., Suttles Steven E., Beudin Alexis, Nowacki Daniel J., Miselis Jennifer L., Andrews Brian D.","journalName":"Estuaries and Coasts","publicationDate":"7/26/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"7/26/2016"},"contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":149613,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suttles, Steven E. ssuttles@usgs.gov","contributorId":5752,"corporation":false,"usgs":true,"family":"Suttles","given":"Steven","email":"ssuttles@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beudin, Alexis","contributorId":174602,"corporation":false,"usgs":true,"family":"Beudin","given":"Alexis","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nowacki, Daniel J. 0000-0002-7015-3710 dnowacki@usgs.gov","orcid":"https://orcid.org/0000-0002-7015-3710","contributorId":174586,"corporation":false,"usgs":true,"family":"Nowacki","given":"Daniel","email":"dnowacki@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrews, Brian D. bandrews@usgs.gov","contributorId":2132,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian D.","email":"bandrews@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648664,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176315,"text":"70176315 - 2017 - Mechanistic variables can enhance predictive models of endotherm distributions: The American pika under current, past, and future climates","interactions":[],"lastModifiedDate":"2017-02-24T11:04:33","indexId":"70176315","displayToPublicDate":"2016-09-08T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Mechanistic variables can enhance predictive models of endotherm distributions: The American pika under current, past, and future climates","docAbstract":"How climate constrains species’ distributions through time and space is an important question in the context of conservation planning for climate change. Despite increasing awareness of the need to incorporate mechanism into species distribution models (SDMs), mechanistic modeling of endotherm distributions remains limited in this literature. Using the American pika (Ochotona princeps) as an example, we present a framework whereby mechanism can be incorporated into endotherm SDMs. Pika distribution has repeatedly been found to be constrained by warm temperatures, so we used Niche Mapper, a mechanistic heat-balance model, to convert macroclimate data to pika-specific surface activity time in summer across the western United States. We then explored the difference between using a macroclimate predictor (summer temperature) and using a mechanistic predictor (predicted surface activity time) in SDMs. Both approaches accurately predicted pika presences in current and past climate regimes. However, the activity models predicted 8–19% less habitat loss in response to annual temperature increases of ~3–5 °C predicted in the region by 2070, suggesting that pikas may be able to buffer some climate change effects through behavioral thermoregulation that can be captured by mechanistic modeling. Incorporating mechanism added value to the modeling by providing increased confidence in areas where different modeling approaches agreed and providing a range of outcomes in areas of disagreement. It also provided a more proximate variable relating animal distribution to climate, allowing investigations into how unique habitat characteristics and intraspecific phenotypic variation may allow pikas to exist in areas outside those predicted by generic SDMs. Only a small number of easily obtainable data are required to parameterize this mechanistic model for any endotherm, and its use can improve SDM predictions by explicitly modeling a widely applicable direct physiological effect: climate-imposed restrictions on activity. This more complete understanding is necessary to inform climate adaptation actions, management strategies, and conservation plans.
","language":"English","publisher":"Blackwell Science","doi":"10.1111/gcb.13454","usgsCitation":"Mathewson, P., Moyer-Horner, L., Beever, E., Briscoe, N., Kearney, M.T., Yahn, J., and Porter, W.P., 2017, Mechanistic variables can enhance predictive models of endotherm distributions: The American pika under current, past, and future climates: Global Change Biology, v. 23, no. 3, p. 1048-1064, https://doi.org/10.1111/gcb.13454.","productDescription":"17 p.","startPage":"1048","endPage":"1064","ipdsId":"IP-075458","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470231,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/14639","text":"External Repository"},{"id":328347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":648300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briscoe, Natalie","contributorId":174454,"corporation":false,"usgs":false,"family":"Briscoe","given":"Natalie","email":"","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":648303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kearney, Michael T.","contributorId":149971,"corporation":false,"usgs":false,"family":"Kearney","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":17867,"text":"Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, Louisiana, USA 70803","active":true,"usgs":false}],"preferred":false,"id":648304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yahn, Jeremiah","contributorId":174455,"corporation":false,"usgs":false,"family":"Yahn","given":"Jeremiah","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":648305,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Porter, Warren P.","contributorId":87281,"corporation":false,"usgs":true,"family":"Porter","given":"Warren","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":648306,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204174,"text":"70204174 - 2017 - Stochastic programming with a joint chance constraint model for reservoir refill operation considering flood risk","interactions":[],"lastModifiedDate":"2019-07-10T11:41:58","indexId":"70204174","displayToPublicDate":"2016-09-06T11:34:13","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2501,"text":"Journal of Water Resources Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"Stochastic programming with a joint chance constraint model for reservoir refill operation considering flood risk","docAbstract":"Reservoir refill operation modeling attempts to maximize a set of benefits while minimizing risks. The benefits and risks can be in opposition to each other, such as having enough water for hydropower generation while leaving enough room for flood protection. In addition to multiple objects, the uncertainty of streamflow can make decision making difficult. This paper develops a stochastic optimization model for reservoir refill operation with the objective of maximizing the expected synthesized energy production for a cascade system of hydropower stations while considering flood risk. Streamflow uncertainty is addressed by discretized streamflow scenarios and flood risk is controlled by a joint chance constraint restricting the occurrence probability. With the variability of flood risk level, two advancing refill scenarios for exploring operation benefit are presented. Scenario I loosens the current stagewise storage bounds conditions and allows advancing reservoir refills but keeps the flood risk level the same as the refill policies obtained under the current storage bounds. Scenario II keeps the current storage bounds unchanged but allows increases in flood risk level. The proposed methodology is applied to the Xiluodu cascade system of reservoirs in China and investigates the optimal refill policies obtained by both scenarios. Compared with the benchmark obtained under the current storage bounds and lowest flood risk level, the results show (1) the synthesized energy production can be improved by 2.13% without changing the flood risk level under Scenario I, and (2) the synthesized energy production can also be increased by 0.21% at the expense of increasing the flood risk level by 4.4% when Scenario II is employed. As Scenario I produces higher benefit and lower risk than Scenario II, it is recommended to loosen the current stagewise storage bounds but to keep the flood risk level unchanged during refill operations.","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)WR.1943-5452.0000715","usgsCitation":"Xu, B., Boyce, S.E., Zhang, Y., Liu, Q., Guo, L., and Zhong, P., 2017, Stochastic programming with a joint chance constraint model for reservoir refill operation considering flood risk: Journal of Water Resources Planning and Management, v. 143, no. 1, 04016067; 11 p., https://doi.org/10.1061/(ASCE)WR.1943-5452.0000715.","productDescription":"04016067; 11 p.","ipdsId":"IP-099597","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":365461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Xiluodu Cascade Reservoir","volume":"143","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Bin","contributorId":216867,"corporation":false,"usgs":false,"family":"Xu","given":"Bin","email":"","affiliations":[],"preferred":false,"id":765914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Yu","contributorId":216868,"corporation":false,"usgs":false,"family":"Zhang","given":"Yu","email":"","affiliations":[],"preferred":false,"id":765915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Qiang","contributorId":216855,"corporation":false,"usgs":false,"family":"Liu","given":"Qiang","email":"","affiliations":[{"id":39533,"text":"4.\tGraduate student, CHWR, Hohai University, NO.1, Xikang Road, Nanjing 210098, China","active":true,"usgs":false}],"preferred":false,"id":765916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guo, Le","contributorId":216856,"corporation":false,"usgs":false,"family":"Guo","given":"Le","email":"","affiliations":[{"id":39534,"text":"5.\tP.Eng., China Yangtze power Co., Ltd., Beijing,100032, China","active":true,"usgs":false}],"preferred":false,"id":765917,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhong, Ping-An","contributorId":216857,"corporation":false,"usgs":false,"family":"Zhong","given":"Ping-An","email":"","affiliations":[{"id":39535,"text":"6.\tProfessor, College of Hydrology and Water Resources, National Engineering Research Center of Water Resources Efficient Utilization and","active":true,"usgs":false}],"preferred":false,"id":765918,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70177081,"text":"70177081 - 2017 - Barrier displacement on a neutral landscape: Towards a theory of continental biogeography","interactions":[],"lastModifiedDate":"2017-03-22T15:03:56","indexId":"70177081","displayToPublicDate":"2016-09-01T01:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3510,"text":"Systematic Biology","active":true,"publicationSubtype":{"id":10}},"title":"Barrier displacement on a neutral landscape: Towards a theory of continental biogeography","docAbstract":"Macroevolutionary theory posits three processes leading to lineage diversification and the formation of regional biotas: dispersal (species geographic range expansion), speciation (species lineage splitting), and extinction (species lineage termination). The Theory of Island Biogeography (TIB) predicts species richness values using just two of these processes; dispersal and extinction. Yet most species on Earth live on continents or continental shelves, and the dynamics of evolutionary diversification at regional and continental scales are qualitatively different from those that govern the formation of species richness on biogeographic islands. Certain geomorphological processes operating perennially on continental platforms displace barriers to gene flow and organismal dispersal, and affect all three terms of macroevolutionary diversification. For example, uplift of a dissected landscape and river capture both merge and separate portions of adjacent areas, allowing dispersal and larger geographic ranges, vicariant speciation and smaller geographic ranges, and extinction when range sizes are subdivided below a minimum persistence threshold.
\nThe TIB also does not predict many biogeographic and phylogenetic patterns widely observed in continentally distributed taxa, including: 1, power function-like species-area relationships; 2, log-normal distribution of species geographic range sizes, in which most species have restricted ranges (are endemic) and few species have broad ranges (are cosmopolitan); 3, mid-domain effects with more species towards the geographic center, and more early-branching, species-poor clades towards the geographic periphery; 4, exponential rates of net diversification with log-linear accumulation of lineages through geological time; and 5, power function-like relationships between species-richness and clade diversity, in which most clades are species-poor and few clades are species-rich. Current theory does not provide a robust mechanistic framework to connect these seemingly disparate patterns.
\nHere we present SEAMLESS (Spatially-Explicit Area Model of Landscape Evolution by SimulationS) that generates clade diversification by moving geographic barriers on a continuous, neutral landscape. SEAMLESS is a neutral Landscape Evolution Model (LEM) that treats species and barriers as functionally equivalent with respect to model parameters. SEAMLESS differs from other model-based biogeographic methods (e.g. Lagrange, GeoSSE, BayArea, BioGeoBEARS) by modeling properties of dispersal barriers rather than areas, and by modeling the evolution of species lineages on a continuous landscape, rather than the evolution of geographic ranges along branches of a phylogeny. SEAMLESS shows how dispersal is required to maintain species richness and avoid clade-wide extinction, demonstrates that ancestral range size does not predict species richness, and provides a unified explanation for the suite of commonly observed biogeographic and phylogenetic patterns listed above. SEAMLESS explains how a simple barrier-displacement mechanism affects lineage diversification under neutral conditions, and is advanced here towards the formulation of a general theory of continental biogeography.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/sysbio/syw080","usgsCitation":"Albert, J.S., Schoolmaster, D., Tagliacollo, V., and Duke-Sylvester, S.M., 2017, Barrier displacement on a neutral landscape: Towards a theory of continental biogeography: Systematic Biology, v. 66, no. 2, p. 167-182, https://doi.org/10.1093/sysbio/syw080.","productDescription":"16 p.","startPage":"167","endPage":"182","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075736","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470236,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/sysbio/syw080","text":"Publisher Index Page"},{"id":338096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"58088688e4b0f497e78e24cd","contributors":{"authors":[{"text":"Albert, James S.","contributorId":175468,"corporation":false,"usgs":false,"family":"Albert","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12987,"text":"Department of Biology, University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":651241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoolmaster, Donald 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":156350,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","email":"schoolmasterd@usgs.gov","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":651240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tagliacollo, Victor","contributorId":175469,"corporation":false,"usgs":false,"family":"Tagliacollo","given":"Victor","email":"","affiliations":[{"id":27577,"text":"Universidade Federal do Tocantins, Palmas, Brazil","active":true,"usgs":false}],"preferred":false,"id":651242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duke-Sylvester, Scott M.","contributorId":175470,"corporation":false,"usgs":false,"family":"Duke-Sylvester","given":"Scott","email":"","middleInitial":"M.","affiliations":[{"id":12987,"text":"Department of Biology, University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":651243,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70181004,"text":"70181004 - 2017 - Evaluation of physicochemical and physical habitat associations for Cambarus callainus (Big Sandy crayfish), an imperilled crayfish endemic to the Central Appalachians","interactions":[],"lastModifiedDate":"2018-03-16T15:29:22","indexId":"70181004","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluation of physicochemical and physical habitat associations for Cambarus callainus (Big Sandy crayfish), an imperilled crayfish endemic to the Central Appalachians","title":"Evaluation of physicochemical and physical habitat associations for Cambarus callainus (Big Sandy crayfish), an imperilled crayfish endemic to the Central Appalachians","docAbstract":"1. Crayfish represent one of the most imperilled animal groups on the planet. Habitat degradation, destruction and fragmentation, introduction of invasive crayfishes, and a lack of applied biological information have all been identified as agents thwarting crayfish conservation.
2. Cambarus callainus was warranted federal protection by the United States Fish and Wildlife Service (USFWS) in April, 2016. As part of the USFWS listing procedure, a survey for C. callainus in the Big Sandy River catchment was conducted to determine points of occurrence with a secondary objective of determining reach level physical habitat and physicochemical correlates of C. callainus presence and absence.
3. At each site, physicochemical and physical habitat data were collected to determine the influence of abiotic covariates on the presence of C. callainus. Cambarus callainus presence or absence and associated site covariates were modelled using logistic regression.
4. Survey results recorded C. callainus at 39 sites in the Upper Levisa Fork (ULF) and Tug Fork (TF) drainages of the Big Sandy River; no C. callainus were collected in the Lower Levisa Fork (LLF). An additive effects model of physical habitat quality (Basin + Boulder presence/embeddedness) was the only model selected, supporting an association of C. callainus with slab boulders, open interstitial spaces, and moderate to no sedimentation. All sites lacking C. callainus were experiencing some degree of sedimentation. Physicochemical covariates were not supported by the data.
5. Results indicated that good quality habitat was lacking in the LLF, but was present in the ULF and TF catchments, with ULF supporting the most robust populations and most suitable habitat. Effective conservation for C. callainus should focus on efforts that limit sedimentation as well as restore good quality instream habitat in the greater Big Sandy catchment.
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.2746","usgsCitation":"Loughman, Z.J., Welsh, S., Sadecky, N., Dillard, Z.W., and Scott, R.K., 2017, Evaluation of physicochemical and physical habitat associations for Cambarus callainus (Big Sandy crayfish), an imperilled crayfish endemic to the Central Appalachians: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 27, no. 4, p. 755-763, https://doi.org/10.1002/aqc.2746.","productDescription":"9 p.","startPage":"755","endPage":"763","ipdsId":"IP-078756","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":335188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky, Virginia, West Virginia","otherGeospatial":"Big Sandy river catchment, Levisa Fork river, Tug Fork river ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.6007080078125,\n 37.223767535823576\n ],\n [\n -81.5350341796875,\n 37.223767535823576\n ],\n [\n -81.5350341796875,\n 37.81195385919268\n ],\n [\n -82.6007080078125,\n 37.81195385919268\n ],\n [\n -82.6007080078125,\n 37.223767535823576\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-16","publicationStatus":"PW","scienceBaseUri":"589fff3be4b099f50d3e0455","contributors":{"authors":[{"text":"Loughman, Zachary J.","contributorId":76157,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":663411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":663162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sadecky, Nicole M.","contributorId":179375,"corporation":false,"usgs":false,"family":"Sadecky","given":"Nicole M.","affiliations":[],"preferred":false,"id":663412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dillard, Zachary W.","contributorId":179376,"corporation":false,"usgs":false,"family":"Dillard","given":"Zachary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":663413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, R. Katie","contributorId":179377,"corporation":false,"usgs":false,"family":"Scott","given":"R.","email":"","middleInitial":"Katie","affiliations":[],"preferred":false,"id":663414,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175520,"text":"70175520 - 2017 - Evaluating alternative methods for biophysical and cultural ecosystem services hotspot mapping in natural resource planning","interactions":[],"lastModifiedDate":"2017-01-19T14:11:04","indexId":"70175520","displayToPublicDate":"2016-08-16T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating alternative methods for biophysical and cultural ecosystem services hotspot mapping in natural resource planning","docAbstract":"Context
\nData for biophysically modeled and Public Participatory GIS (PPGIS)-derived cultural ecosystem services have potential to identify natural resource management synergies and conflicts, but have rarely been combined. Ecosystem service hot/coldspots generated using different methods vary in their spatial extent and connectivity, with important implications.
\nObjectives
\nWe map biophysically modeled and PPGIS-derived cultural services for six U.S. national forests using six hot/coldspot delineation methods. We evaluate the implications of hotspot methods for management within and outside of designated wilderness areas.
\nMethods
\nWe used the ARIES and SolVES modeling tools to quantify four biophysically modeled and 11 largely cultural ecosystem services for six national forests in Colorado and Wyoming, USA. We mapped hot/coldspots using two quantile methods (top and bottom 10 and 33 % of values), two area-based methods (top and bottom 10 and 33 % of area), and two statistical methods (Getis-Ord Gi* at α = 0.05 and 0.10 significance level) and compare results within and outside wilderness areas.
\nResults
\nDelineation methods vary in their degree of conservatism for hot/coldspot extents and spatial clustering. Hotspots were more common in wilderness areas in national forests near the more densely populated Colorado Front Range, while coldspots were more common in wilderness areas in more urban-distant forests in northwest Wyoming.
\nConclusions
\nStatistical hotspot methods of intermediate conservatism (i.e., Getis-Ord Gi*, α = 0.10 significance) may be most useful for ecosystem service hot/coldspot mapping to inform landscape scale planning. We also found spatially explicit evidence in support of past findings about public attitudes toward wilderness areas.
","language":"English","publisher":"International Association of Landscape Ecology","doi":"10.1007/s10980-016-0430-6","usgsCitation":"Bagstad, K.J., Semmens, D.J., Ancona, Z.H., and Sherrouse, B.C., 2017, Evaluating alternative methods for biophysical and cultural ecosystem services hotspot mapping in natural resource planning: Landscape Ecology, v. 32, no. 1, p. 77-97, https://doi.org/10.1007/s10980-016-0430-6.","productDescription":"21 p.","startPage":"77","endPage":"97","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065847","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":326546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57b42b30e4b03bcb01039f8c","chorus":{"doi":"10.1007/s10980-016-0430-6","url":"http://dx.doi.org/10.1007/s10980-016-0430-6","publisher":"Springer Nature","authors":"Bagstad Kenneth J., Semmens Darius J., Ancona Zachary H., Sherrouse Benson C.","journalName":"Landscape Ecology","publicationDate":"8/11/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"8/11/2016"},"contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ancona, Zachary H. 0000-0001-5430-0218 zancona@usgs.gov","orcid":"https://orcid.org/0000-0001-5430-0218","contributorId":5578,"corporation":false,"usgs":true,"family":"Ancona","given":"Zachary","email":"zancona@usgs.gov","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherrouse, Benson C. 0000-0002-5102-5895 bcsherrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-5102-5895","contributorId":2445,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"bcsherrouse@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645556,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175442,"text":"70175442 - 2017 - Numerical modeling of simultaneous tracer release and piscicide treatment for invasive species control in the Chicago Sanitary and Ship Canal, Chicago, Illinois","interactions":[],"lastModifiedDate":"2017-03-22T15:09:30","indexId":"70175442","displayToPublicDate":"2016-08-11T15:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5169,"text":"Environmental Fluid Mechanics","active":true,"publicationSubtype":{"id":10}},"title":"Numerical modeling of simultaneous tracer release and piscicide treatment for invasive species control in the Chicago Sanitary and Ship Canal, Chicago, Illinois","docAbstract":"In December 2009, during a piscicide treatment targeting the invasive Asian carp in the Chicago Sanitary and Ship Canal, Rhodamine WT dye was released to track and document the transport and dispersion of the piscicide. In this study, two modeling approaches are presented to reproduce the advection and dispersion of the dye tracer (and piscicide), a one-dimensional analytical solution and a three-dimensional numerical model. The two approaches were compared with field measurements of concentration and their applicability is discussed. Acoustic Doppler current profiler measurements were used to estimate the longitudinal dispersion coefficients at ten cross sections, which were taken as reference for calibrating the longitudinal dispersion coefficient in the one-dimensional analytical solution. While the analytical solution is fast, relatively simple, and can fairly accurately predict the core of the observed concentration time series at points downstream, it does not capture the tail of the breakthrough curves. These tails are well reproduced by the three-dimensional model, because it accounts for the effects of dead zones and a power plant which withdraws nearly 80 % of the water from the canal for cooling purposes before returning it back to the canal.
","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10652-016-9464-1","usgsCitation":"Zhu, Z., Motta, D., Jackson, P., and Garcia, M., 2017, Numerical modeling of simultaneous tracer release and piscicide treatment for invasive species control in the Chicago Sanitary and Ship Canal, Chicago, Illinois: Environmental Fluid Mechanics, v. 17, no. 2, p. 211-229, https://doi.org/10.1007/s10652-016-9464-1.","productDescription":"19 p.","startPage":"211","endPage":"229","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072510","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":326409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Chicago Sanitary and Ship Canal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.99636840820312,\n 41.65239288426814\n ],\n [\n -87.99636840820312,\n 42.11859868281563\n ],\n [\n -87.528076171875,\n 42.11859868281563\n ],\n [\n -87.528076171875,\n 41.65239288426814\n ],\n [\n -87.99636840820312,\n 41.65239288426814\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-24","publicationStatus":"PW","scienceBaseUri":"57ad93a1e4b0d18356765100","contributors":{"authors":[{"text":"Zhu, Zhenduo","contributorId":83828,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhenduo","affiliations":[],"preferred":false,"id":645266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Motta, Davide","contributorId":173610,"corporation":false,"usgs":false,"family":"Motta","given":"Davide","email":"","affiliations":[{"id":27130,"text":"UIUC","active":true,"usgs":false}],"preferred":false,"id":645267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":169284,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":645268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":645269,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}