Streamflow and water temperature in the Middle Fork Willamette River (MFWR), western Oregon, have been regulated and altered since the construction of Lookout Point, Dexter, and Hills Creek Dams in 1954 and 1961, respectively. Each year, summer releases from the dams typically are cooler than pre-dam conditions, with the reverse (warmer than pre-dam conditions) occurring in autumn. This pattern has been detrimental to habitat of endangered Upper Willamette River (UWR) Chinook salmon (Oncorhynchus tshawytscha) and UWR winter steelhead (O. mykiss) throughout multiple life stages. In this study, scenarios testing different dam-operation strategies and hypothetical dam-outlet structures were simulated using CE-QUAL-W2 hydrodynamic/temperature models of the MFWR system from Hills Creek Lake (HCR) to Lookout Point (LOP) and Dexter (DEX) Lakes to explore and understand the efficacy of potential flow and temperature mitigation options.
Model scenarios were run in constructed wet, normal, and dry hydrologic calendar years, and designed to minimize the effects of Hills Creek and Lookout Point Dams on river temperature by prioritizing warmer lake surface releases in May–August and cooler, deep releases in September–December. Operational scenarios consisted of a range of modified release rate rules, relaxation of power-generation constraints, variations in the timing of refill and drawdown, and maintenance of different summer maximum lake levels at HCR and LOP. Structural scenarios included various combinations of hypothetical floating outlets near the lake surface and hypothetical new outlets at depth. Scenario results were compared to scenarios using existing operational rules that give temperature management some priority (Base), scenarios using pre-2012 operational rules that prioritized power generation over temperature management (NoBlend), and estimated temperatures from a without-dams condition (WoDams).
Results of the tested model scenarios led to the following conclusions:
Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
http://or.water.usgs.gov
The U.S. Geological Survey (USGS), in cooperation with the Colorado Department of Transportation, developed regional-regression equations for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, 0.2-percent annual exceedance-probability discharge (AEPD) for natural streamflow in eastern Colorado. A total of 188 streamgages, consisting of 6,536 years of record and a mean of approximately 35 years of record per streamgage, were used to develop the peak-streamflow regional-regression equations. The estimated AEPDs for each streamgage were computed using the USGS software program PeakFQ. The AEPDs were determined using systematic data through water year 2013. Based on previous studies conducted in Colorado and neighboring States and on the availability of data, 72 characteristics (57 basin and 15 climatic characteristics) were evaluated as candidate explanatory variables in the regression analysis. Paleoflood and non-exceedance bound ages were established based on reconnaissance-level methods. Multiple lines of evidence were used at each streamgage to arrive at a conclusion (age estimate) to add a higher degree of certainty to reconnaissance-level estimates. Paleoflood or nonexceedance bound evidence was documented at 41 streamgages, and 3 streamgages had previously collected paleoflood data.To determine the peak discharge of a paleoflood or non-exceedanc bound, two different hydraulic models were used.
The mean standard error of prediction (SEP) for all 8 AEPDs was reduced approximately 25 percent compared to the previous flood-frequency study. For paleoflood data to be effective in reducing the SEP in eastern Colorado, a larger ratio than 44 of 188 (23 percent) streamgages would need paleoflood data and that paleoflood data would need to increase the record length by more than 25 years for the 1-percent AEPD. The greatest reduction in SEP for the peak-streamflow regional-regression equations was observed when additional new basin characteristics were included in the peak-streamflow regional-regression equations and when eastern Colorado was divided into two separate hydrologic regions. To make further reductions in the uncertainties of the peak-streamflow regional-regression equations in the Foothills and Plains hydrologic regions, additional streamgages or crest-stage gages are needed to collect peak-streamflow data on natural streams in eastern Colorado.
Generalized-Least Squares regression was used to compute the final peak-streamflow regional-regression equations for peak-streamflow. Dividing eastern Colorado into two new individual regions at –104° longitude resulted in peak-streamflow regional-regression equations with the smallest SEP. The new hydrologic region located between –104° longitude and the Kansas-Nebraska State line will be designated the Plains hydrologic region and the hydrologic region comprising the rest of eastern Colorado located west of the –104° longitude and east of the Rocky Mountains and below 7,500 feet in the South Platte River Basin and below 9,000 feet in the Arkansas River Basin will be designated the Foothills hydrologic region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165099","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Kohn, M.S., Stevens, M.R., Harden, T.M., Godaire, J.E., Klinger, R.E., and Mommandi, Amanullah, 2016, Paleoflood investigations to improve peak-streamflow regional-regression equations for natural streamflow in eastern Colorado, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5099, 58 p., https://dx.doi.org/10.3133/sir20165099.","productDescription":"Report: ix, 57 p.; 3 Appendixes","onlineOnly":"Y","ipdsId":"IP-064605","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":328604,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5099/sir20165099_Appendix6.zip","text":"Appendix 6","size":"10.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5099 Appendix 6"},{"id":328603,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5099/sir20165099_Appendix5.zip","text":"Appendix 5","size":"540 kB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5099 Appendix 5"},{"id":328602,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5099/sir20165099_Appendix4.zip","text":"Appendix 4","size":"15.4 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5099 Appendix 4"},{"id":328354,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5099/sir20165099.pdf","text":"Report","size":"127 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5099"},{"id":328353,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5099/coverthb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.5,\n 42\n ],\n [\n -110.5,\n 36\n ],\n [\n -100.5,\n 36\n ],\n [\n -100.5,\n 42\n ],\n [\n -110.5,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, USGS Colorado Water Science Center
Box 25046, Mail Stop 415
Denver, CO 80225
In the past decade, difficulties encountered in reproducing the results of a cancer study at Duke University resulted in a scandal and an investigation which concluded that tools used for data management, analysis, and modeling were inappropriate for the documentation of the study, let alone the reproduction of the results. New protocols were developed which require that data analysis and modeling be carried out with scripts that can be used to reproduce the results and are a record of all decisions and interpretations made during an analysis or a modeling effort. In the hydrological sciences, we face similar challenges and need to develop similar standards for transparency and repeatability of results. A promising route is to start making use of open-source languages (such as R and Python) to write scripts and to use collaborative coding environments (such as Git) to share our codes for inspection and use by the hydrological community. An important side-benefit to adopting such protocols is consistency and efficiency among collaborators.
","language":"English","publisher":"EGU","doi":"10.5194/hess-20-3739-2016","usgsCitation":"Fienen, M., and Bakker, M., 2016, HESS Opinions: Repeatable research: what hydrologistscan learn from the Duke cancer research scandal: Hydrology and Earth System Sciences, v. 20, p. 3739-3743, https://doi.org/10.5194/hess-20-3739-2016.","productDescription":"5 p.","startPage":"3739","endPage":"3743","ipdsId":"IP-075419","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":462083,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-20-3739-2016","text":"Publisher Index Page"},{"id":328593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-12","publicationStatus":"PW","scienceBaseUri":"57d91527e4b090824ff9fa36","contributors":{"authors":[{"text":"Fienen, Michael 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":174604,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bakker, Mark","contributorId":56137,"corporation":false,"usgs":true,"family":"Bakker","given":"Mark","email":"","affiliations":[],"preferred":false,"id":648710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176414,"text":"70176414 - 2016 - Intertidal salt marshes as an important source of inorganic carbon to the coastal ocean","interactions":[],"lastModifiedDate":"2016-09-13T09:44:52","indexId":"70176414","displayToPublicDate":"2016-09-13T10:40:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Intertidal salt marshes as an important source of inorganic carbon to the coastal ocean","docAbstract":"Dynamic tidal export of dissolved inorganic carbon (DIC) to the coastal ocean from highly productive intertidal marshes and its effects on seawater carbonate chemistry are thoroughly evaluated. The study uses a comprehensive approach by combining tidal water sampling of CO2parameters across seasons, continuous in situ measurements of biogeochemically-relevant parameters and water fluxes, with high-resolution modeling in an intertidal salt marsh of the U.S. northeast region. Salt marshes can acidify and alkalize tidal water by injecting CO2 (DIC) and total alkalinity (TA). DIC and TA generation may also be decoupled due to differential effects of marsh aerobic and anaerobic respiration on DIC and TA. As marsh DIC is added to tidal water, the buffering capacity first decreases to a minimum and then increases quickly. Large additions of marsh DIC can result in higher buffering capacity in ebbing tide than incoming tide. Alkalization of tidal water, which mostly occurs in the summer due to anaerobic respiration, can further modify buffering capacity. Marsh exports of DIC and alkalinity may have complex implications for the future, more acidified ocean. Marsh DIC export exhibits high variability over tidal and seasonal cycles, which is modulated by both marsh DIC generation and by water fluxes. The marsh DIC export of 414 g C m−2 yr−1, based on high-resolution measurements and modeling, is more than twice the previous estimates. It is a major term in the marsh carbon budget and translates to one of the largest carbon fluxes along the U.S. East Coast.
","language":"English","publisher":"ASLO","doi":"10.1002/lno.10347","usgsCitation":"Wang, Z., Kroeger, K.D., Ganju, N., Gonneea Eagle, M., and Chu, S.N., 2016, Intertidal salt marshes as an important source of inorganic carbon to the coastal ocean: Limnology and Oceanography, v. 61, no. 5, p. 1916-1931, https://doi.org/10.1002/lno.10347.","productDescription":"16 p.","startPage":"1916","endPage":"1931","ipdsId":"IP-073972","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470570,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10347","text":"Publisher Index Page"},{"id":328589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Sage Lot Pond, Waquoit Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.5188798904419,\n 41.54953955986466\n ],\n [\n -70.5188798904419,\n 41.55718297621677\n ],\n [\n -70.50287246704102,\n 41.55718297621677\n ],\n [\n -70.50287246704102,\n 41.54953955986466\n ],\n [\n -70.5188798904419,\n 41.54953955986466\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"61","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-18","publicationStatus":"PW","scienceBaseUri":"57d91527e4b090824ff9fa38","chorus":{"doi":"10.1002/lno.10347","url":"http://dx.doi.org/10.1002/lno.10347","publisher":"Wiley-Blackwell","authors":"Wang Zhaohui Aleck, Kroeger Kevin D., Ganju Neil K., Gonneea Meagan Eagle, Chu Sophie N.","journalName":"Limnology and Oceanography","publicationDate":"7/18/2016"},"contributors":{"authors":[{"text":"Wang, Zhaohui Aleck","contributorId":174589,"corporation":false,"usgs":false,"family":"Wang","given":"Zhaohui Aleck","affiliations":[{"id":13627,"text":"Woods Hole Oceanographic Institution, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":648666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":648665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":140088,"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":648667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chu, Sophie N.","contributorId":174603,"corporation":false,"usgs":false,"family":"Chu","given":"Sophie","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":648669,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176416,"text":"70176416 - 2016 - Source characterization and tsunami modeling of submarine landslides along the Yucatán Shelf/Campeche Escarpment, southern Gulf of Mexico","interactions":[],"lastModifiedDate":"2019-08-13T07:10:29","indexId":"70176416","displayToPublicDate":"2016-09-13T09:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Source characterization and tsunami modeling of submarine landslides along the Yucatán Shelf/Campeche Escarpment, southern Gulf of Mexico","docAbstract":"Submarine landslides occurring along the margins of the Gulf of Mexico (GOM) represent a low-likelihood, but potentially damaging source of tsunamis. New multibeam bathymetry coverage reveals that mass wasting is pervasive along the Yucatán Shelf edge with several large composite landslides possibly removing as much as 70 km3 of the Cenozoic sedimentary section in a single event. Using GIS-based analysis, the dimensions of six landslides from the central and northern sections of the Yucatán Shelf/Campeche Escarpment were determined and used as input for preliminary tsunami generation and propagation models. Tsunami modeling is performed to compare the propagation characteristics and distribution of maximum amplitudes throughout the GOM among the different landslide scenarios. Various factors such as landslide geometry, location along the Yucatán Shelf/Campeche Escarpment, and refraction during propagation result in significant variations in the affected part of the Mexican and US Gulf Coasts. In all cases, however, tsunami amplitudes are greatest along the northern Yucatán Peninsula.
","language":"English","publisher":"Springer","doi":"10.1007/s00024-016-1363-3","usgsCitation":"Chaytor, J., Geist, E.L., Paull, C.K., Caress, D., Gwiazda, R., Urrutia Fucugauchi, J., and Rebolledo Vieyra, M., 2016, Source characterization and tsunami modeling of submarine landslides along the Yucatán Shelf/Campeche Escarpment, southern Gulf of Mexico: Pure and Applied Geophysics, v. 173, no. 12, p. 4101-4116, https://doi.org/10.1007/s00024-016-1363-3.","productDescription":"16 p.","startPage":"4101","endPage":"4116","ipdsId":"IP-070847","costCenters":[{"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}],"links":[{"id":328578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Campeche Escarpment, Gulf of Mexico, Yucatán Shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.91015624999999,\n 18.145851771694467\n ],\n [\n -82.6171875,\n 18.145851771694467\n ],\n [\n -82.6171875,\n 31.12819929911196\n ],\n [\n -97.91015624999999,\n 31.12819929911196\n ],\n [\n -97.91015624999999,\n 18.145851771694467\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"173","issue":"12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"57d91528e4b090824ff9fa41","chorus":{"doi":"10.1007/s00024-016-1363-3","url":"http://dx.doi.org/10.1007/s00024-016-1363-3","publisher":"Springer Nature","authors":"Chaytor Jason D., Geist Eric L., Paull Charles K., Caress David W., Gwiazda Roberto, Fucugauchi Jaime Urrutia, Vieyra Mario Rebolledo","journalName":"Pure and Applied Geophysics","publicationDate":"8/8/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"8/8/2016"},"contributors":{"authors":[{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":4961,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason D.","email":"jchaytor@usgs.gov","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":648673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":648674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caress, David W","contributorId":147194,"corporation":false,"usgs":false,"family":"Caress","given":"David W","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":648675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gwiazda, Roberto","contributorId":147193,"corporation":false,"usgs":false,"family":"Gwiazda","given":"Roberto","email":"","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":648676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Urrutia Fucugauchi, Jaime","contributorId":174600,"corporation":false,"usgs":false,"family":"Urrutia Fucugauchi","given":"Jaime","email":"","affiliations":[],"preferred":false,"id":648677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rebolledo Vieyra, Mario","contributorId":174601,"corporation":false,"usgs":false,"family":"Rebolledo Vieyra","given":"Mario","email":"","affiliations":[],"preferred":false,"id":648678,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176415,"text":"70176415 - 2016 - Finite-frequency wave propagation through outer rise fault zones and seismic measurements of upper mantle hydration","interactions":[],"lastModifiedDate":"2016-09-13T08:52:12","indexId":"70176415","displayToPublicDate":"2016-09-13T09:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Finite-frequency wave propagation through outer rise fault zones and seismic measurements of upper mantle hydration","docAbstract":"Effects of serpentine-filled fault zones on seismic wave propagation in the upper mantle at the outer rise of subduction zones are evaluated using acoustic wave propagation models. Modeled wave speeds depend on azimuth, with slowest speeds in the fault-normal direction. Propagation is fastest along faults, but, for fault widths on the order of the seismic wavelength, apparent wave speeds in this direction depend on frequency. For the 5–12 Hz Pn arrivals used in tomographic studies, joint-parallel wavefronts are slowed by joints. This delay can account for the slowing seen in tomographic images of the outer rise upper mantle. At the Middle America Trench, confining serpentine to fault zones, as opposed to a uniform distribution, reduces estimates of bulk upper mantle hydration from ~3.5 wt % to as low as 0.33 wt % H2O.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016GL070083","usgsCitation":"Miller, N.C., and Lizarralde, D., 2016, Finite-frequency wave propagation through outer rise fault zones and seismic measurements of upper mantle hydration: Geophysical Research Letters, v. 43, no. 15, p. 7982-7990, https://doi.org/10.1002/2016GL070083.","productDescription":"9 p.","startPage":"7982","endPage":"7990","ipdsId":"IP-073742","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470571,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl070083","text":"Publisher Index Page"},{"id":328579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"15","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-14","publicationStatus":"PW","scienceBaseUri":"57d91525e4b090824ff9fa2e","contributors":{"authors":[{"text":"Miller, Nathaniel C. 0000-0003-3271-2929 ncmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3271-2929","contributorId":174592,"corporation":false,"usgs":true,"family":"Miller","given":"Nathaniel","email":"ncmiller@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lizarralde, Daniel","contributorId":24256,"corporation":false,"usgs":true,"family":"Lizarralde","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":648671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174860,"text":"ofr20161113 - 2016 - Altered hydrologic and geomorphic processes and bottomland hardwood plant communities of the lower White River Basin","interactions":[],"lastModifiedDate":"2016-09-12T16:59:29","indexId":"ofr20161113","displayToPublicDate":"2016-09-12T17:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1113","title":"Altered hydrologic and geomorphic processes and bottomland hardwood plant communities of the lower White River Basin","docAbstract":"The work explained in this report was conducted to assess geomorphic adjustment of the lower White River, Arkansas, to hydrologic modifications and establish forest age and community structure within selected communities within the floodplain. Also, the HEC–GeoRAS model was evaluated for predicting flood depth and duration within the floodplain. Hydrologic modeling using HEC–GeoRAS is a common way to model flooding in a floodplain. A parameterized model exists for the White River, Arkansas, based on observed flows at gauges, but its ability to reproduce current and future hydrological conditions throughout the floodplain has not been quantified. The objectives of this work are to—
\nThis study provides baseline information on the current geomorphic and hydrologic conditions of the river and can assist in the interpretation of forest responses to past hydrologic and geomorphic processes. Understanding the implications for floodplain forests of geomorphic adjustment in the Lower Mississippi Alluvial Valley is key to managing the region’s valuable resources for a sustainable future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161113","usgsCitation":"King, S.L., Keim, R.F., Hupp, C.R., Edwards, B.L., Kroschel, W.A., Johnson, E.L., and Cochran, J.W., 2016, Altered hydrologic and geomorphic processes and bottomland hardwood plant communities of the lower White River Basin: U.S. Geological Survey Open-File Report 2016–1113, 32 p., https://dx.doi.org/10.3133/ofr20161113. ","productDescription":"v, 33 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073365","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":328275,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1113/ofr20161113.pdf","text":"Report","size":"1.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1113"},{"id":328274,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1113/coverthb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Lower White River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.461181640625,\n 34.01851844336969\n ],\n [\n -91.461181640625,\n 34.856636719051735\n ],\n [\n -90.9613037109375,\n 34.856636719051735\n ],\n [\n -90.9613037109375,\n 34.01851844336969\n ],\n [\n -91.461181640625,\n 34.01851844336969\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Louisiana Water Science Center
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3535 South Sherwood Forest Blvd.
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Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater fish species such as largemouth bass (Micropterus salmoides). Recent declining walleye and increasing largemouth bass populations have raised questions regarding the future trajectories and management actions for these species. We developed a thermodynamic model of water temperatures driven by downscaled climate data and lake-specific characteristics to estimate daily water temperature profiles for 2148 lakes in Wisconsin, US, under contemporary (1989–2014) and future (2040–2064 and 2065–2089) conditions. We correlated contemporary walleye recruitment and largemouth bass relative abundance to modeled water temperature, lake morphometry, and lake productivity, and projected lake-specific changes in each species under future climate conditions. Walleye recruitment success was negatively related and largemouth bass abundance was positively related to water temperature degree days. Both species exhibited a threshold response at the same degree day value, albeit in opposite directions. Degree days were predicted to increase in the future, although the magnitude of increase varied among lakes, time periods, and global circulation models (GCMs). Under future conditions, we predicted a loss of walleye recruitment in 33–75% of lakes where recruitment is currently supported and a 27–60% increase in the number of lakes suitable for high largemouth bass abundance. The percentage of lakes capable of supporting abundant largemouth bass but failed walleye recruitment was predicted to increase from 58% in contemporary conditions to 86% by mid-century and to 91% of lakes by late century, based on median projections across GCMs. Conversely, the percentage of lakes with successful walleye recruitment and low largemouth bass abundance was predicted to decline from 9% of lakes in contemporary conditions to only 1% of lakes in both future periods. Importantly, we identify up to 85 resilient lakes predicted to continue to support natural walleye recruitment. Management resources could target preserving these resilient walleye populations.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13462","usgsCitation":"Hansen, G., Read, J.S., Hansen, J.F., and Winslow, L., 2016, Projected shifts in fish species dominance in Wisconsin lakes under climate change: Global Change Biology, v. 23, no. 4, p. 1463-1476, https://doi.org/10.1111/gcb.13462.","productDescription":"14 p.","startPage":"1463","endPage":"1476","ipdsId":"IP-073795","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"links":[{"id":470572,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.13462","text":"Publisher Index Page"},{"id":438550,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X0655K","text":"USGS data release","linkHelpText":"Projected shifts in fish species dominance in Wisconsin lakes under climate 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A.","affiliations":[{"id":27469,"text":"Wisconsin Department of Natural Resources, Madison, Wisconsin","active":true,"usgs":false}],"preferred":false,"id":648580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":648578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Jonathan F.","contributorId":171519,"corporation":false,"usgs":false,"family":"Hansen","given":"Jonathan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":648581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648579,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176368,"text":"70176368 - 2016 - Evaluating harvest-based control of invasive fish with telemetry: Performance of sea lamprey traps in the Great Lakes","interactions":[],"lastModifiedDate":"2016-09-12T10:22:44","indexId":"70176368","displayToPublicDate":"2016-09-12T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating harvest-based control of invasive fish with telemetry: Performance of sea lamprey traps in the Great Lakes","docAbstract":"Physical removal (e.g., harvest via traps or nets) of mature individuals may be a cost-effective or socially acceptable alternative to chemical control strategies for invasive species, but requires knowledge of the spatial distribution of a population over time. We used acoustic telemetry to determine the current and possible future role of traps to control and assess invasive sea lampreys, Petromyzon marinus, in the St. Marys River, the connecting channel between Lake Superior and Lake Huron. Exploitation rates (i.e., fractions of an adult sea lamprey population removed by traps) at two upstream locations were compared among three years and two points of entry to the system. Telemetry receivers throughout the drainage allowed trap performance (exploitation rate) to be partitioned into two components: proportion of migrating sea lampreys that visited trap sites (availability) and proportion of available sea lampreys that were caught by traps (local trap efficiency). Estimated exploitation rates were well below those needed to provide population control in the absence of lampricides and were limited by availability and local trap efficiency. Local trap efficiency estimates for acoustic-tagged sea lampreys were lower than analogous estimates regularly obtained using traditional mark–recapture methods, suggesting that abundance had been previously underestimated. Results suggested major changes would be required to substantially increase catch, including improvements to existing traps, installation of new traps, or other modifications to attract and retain more sea lampreys. This case study also shows how bias associated with telemetry tags can be estimated and incorporated in models to improve inferences about parameters that are directly relevant to fishery management.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/15-2251.1","usgsCitation":"Holbrook, C., Bergstedt, R.A., Barber, J.M., Bravener, G.A., Jones, M., and Krueger, C., 2016, Evaluating harvest-based control of invasive fish with telemetry: Performance of sea lamprey traps in the Great Lakes: Ecological Applications, v. 26, no. 6, p. 1595-1609, https://doi.org/10.1890/15-2251.1.","productDescription":"15 p.","startPage":"1595","endPage":"1609","ipdsId":"IP-071490","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":328497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-02","publicationStatus":"PW","scienceBaseUri":"57d7c39be4b090824ff8b8e6","contributors":{"authors":[{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":648553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergstedt, Roger A. rbergstedt@usgs.gov","contributorId":4174,"corporation":false,"usgs":true,"family":"Bergstedt","given":"Roger","email":"rbergstedt@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":648554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Jessica M.","contributorId":173285,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","email":"","middleInitial":"M.","affiliations":[{"id":6584,"text":"United States Fish and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":648555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bravener, Gale A","contributorId":174546,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","email":"","middleInitial":"A","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":648556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Michael L.","contributorId":119922,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6600,"text":"Qauntitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":648557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krueger, Charles C.","contributorId":73131,"corporation":false,"usgs":true,"family":"Krueger","given":"Charles C.","affiliations":[],"preferred":false,"id":648558,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176364,"text":"70176364 - 2016 - Entrainment, retention, and transport of freely swimming fish in junction gaps between commercial barges operating on the Illinois Waterway","interactions":[],"lastModifiedDate":"2016-09-09T15:33:29","indexId":"70176364","displayToPublicDate":"2016-09-09T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Entrainment, retention, and transport of freely swimming fish in junction gaps between commercial barges operating on the Illinois Waterway","docAbstract":"Large Electric Dispersal Barriers were constructed in the Chicago Sanitary and Ship Canal (CSSC) to prevent the transfer of invasive fish species between the Mississippi River Basin and the Great Lakes Basin while simultaneously allowing the passage of commercial barge traffic. We investigated the potential for entrainment, retention, and transport of freely swimming fish within large gaps (> 50 m3) created at junction points between barges. Modified mark and capture trials were employed to assess fish entrainment, retention, and transport by barge tows. A multi-beam sonar system enabled estimation of fish abundance within barge junction gaps. Barges were also instrumented with acoustic Doppler velocity meters to map the velocity distribution in the water surrounding the barge and in the gap formed at the junction of two barges. Results indicate that the water inside the gap can move upstream with a barge tow at speeds near the barge tow travel speed. Water within 1 m to the side of the barge junction gaps was observed to move upstream with the barge tow. Observed transverse and vertical water velocities suggest pathways by which fish may potentially be entrained into barge junction gaps. Results of mark and capture trials provide direct evidence that small fish can become entrained by barges, retained within junction gaps, and transported over distances of at least 15.5 km. Fish entrained within the barge junction gap were retained in that space as the barge tow transited through locks and the Electric Dispersal Barriers, which would be expected to impede fish movement upstream.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.05.005","usgsCitation":"Davis, J.J., Jackson, P.R., Engel, F.L., LeRoy, J., Neeley, R.N., Finney, S.T., and Murphy, E.A., 2016, Entrainment, retention, and transport of freely swimming fish in junction gaps between commercial barges operating on the Illinois Waterway: Journal of Great Lakes Research, v. 42, no. 4, p. 837-848, https://doi.org/10.1016/j.jglr.2016.05.005.","productDescription":"12 p.","startPage":"837","endPage":"848","ipdsId":"IP-071305","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":328467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois Waterway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.15498352050781,\n 41.492120839687786\n ],\n [\n -88.15498352050781,\n 41.66419207101119\n ],\n [\n -87.97096252441406,\n 41.66419207101119\n ],\n [\n -87.97096252441406,\n 41.492120839687786\n ],\n [\n -88.15498352050781,\n 41.492120839687786\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3cf23e4b0571647d15f4b","contributors":{"authors":[{"text":"Davis, Jeremiah J.","contributorId":150963,"corporation":false,"usgs":false,"family":"Davis","given":"Jeremiah","email":"","middleInitial":"J.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":648528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":173931,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engel, Frank L. 0000-0002-4253-2625 fengel@usgs.gov","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":5463,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","email":"fengel@usgs.gov","middleInitial":"L.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeRoy, Jessica Z. jleroy@usgs.gov","contributorId":174538,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica Z.","email":"jleroy@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neeley, Rebecca N.","contributorId":174535,"corporation":false,"usgs":false,"family":"Neeley","given":"Rebecca","email":"","middleInitial":"N.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":648531,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finney, Samuel T.","contributorId":174536,"corporation":false,"usgs":false,"family":"Finney","given":"Samuel","email":"","middleInitial":"T.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":648532,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murphy, Elizabeth A. emurphy@usgs.gov","contributorId":174537,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth","email":"emurphy@usgs.gov","middleInitial":"A.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648533,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176345,"text":"70176345 - 2016 - Projected wetland densities under climate change: Habitat loss but little geographic shift in conservation strategy","interactions":[],"lastModifiedDate":"2016-09-09T09:40:48","indexId":"70176345","displayToPublicDate":"2016-09-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Projected wetland densities under climate change: Habitat loss but little geographic shift in conservation strategy","docAbstract":"Climate change poses major challenges for conservation and management because it alters the area, quality, and spatial distribution of habitat for natural populations. To assess species’ vulnerability to climate change and target ongoing conservation investments, researchers and managers often consider the effects of projected changes in climate and land use on future habitat availability and quality and the uncertainty associated with these projections. Here, we draw on tools from hydrology and climate science to project the impact of climate change on the density of wetlands in the Prairie Pothole Region of the USA, a critical area for breeding waterfowl and other wetland-dependent species. We evaluate the potential for a trade-off in the value of conservation investments under current and future climatic conditions and consider the joint effects of climate and land use. We use an integrated set of hydrological and climatological projections that provide physically based measures of water balance under historical and projected future climatic conditions. In addition, we use historical projections derived from ten general circulation models (GCMs) as a baseline from which to assess climate change impacts, rather than historical climate data. This method isolates the impact of greenhouse gas emissions and ensures that modeling errors are incorporated into the baseline rather than attributed to climate change. Our work shows that, on average, densities of wetlands (here defined as wetland basins holding water) are projected to decline across the U.S. Prairie Pothole Region, but that GCMs differ in both the magnitude and the direction of projected impacts. However, we found little evidence for a shift in the locations expected to provide the highest wetland densities under current vs. projected climatic conditions. This result was robust to the inclusion of projected changes in land use under climate change. We suggest that targeting conservation towards wetland complexes containing both small and relatively large wetland basins, which is an ongoing conservation strategy, may also act to hedge against uncertainty in the effects of climate change.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Tempe, AZ","doi":"10.1890/15-0750.1","usgsCitation":"Sofaer, H., Skagen, S., Barsugli, J.J., Rashford, B.S., Reese, G., Hoeting, J.A., Wood, A.W., and Noon, B.R., 2016, Projected wetland densities under climate change: Habitat loss but little geographic shift in conservation strategy: Ecological Applications, v. 26, no. 6, p. 1677-1692, https://doi.org/10.1890/15-0750.1.","startPage":"1677","endPage":"1692","numberOfPages":"16","ipdsId":"IP-068693","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470579,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/15-0750.1","text":"Publisher Index Page"},{"id":438551,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VX0DMQ","text":"USGS data release","linkHelpText":"Data used to estimate and project the effects of climate and 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feasibility of reintroducing anadromous salmonids into reservoirs above high-head dams is affected by the suitability of the reservoir habitat for rearing and the interactions of the resident fish with introduced fish. We evaluated the predation risk to anadromous salmonids considered for reintroduction in Merwin Reservoir on the North Fork Lewis River in Washington State for two reservoir use-scenarios: year-round rearing and smolt migration. We characterized the role of the primary predators, Northern Pikeminnow Ptychocheilus oregonensis and tiger muskellunge (Northern Pike Esox lucius × Muskellunge E. masquinongy), by using stable isotopes and stomach content analysis, quantified seasonal, per capita predation using bioenergetics modeling, and evaluated the size and age structures of the populations. We then combined these inputs to estimate predation rates of size-structured population units. Northern Pikeminnow of FL ≥ 300 mm were highly cannibalistic and exhibited modest, seasonal, per capita predation on salmonids, but they were disproportionately much less abundant than smaller, less piscivorous, conspecifics. The annual predation on kokanee Oncorhynchus nerka (in biomass) by a size-structured unit of 1,000 Northern Pikeminnow having a FL ≥ 300 mm was analogous to 16,000–40,000 age-0 spring Chinook Salmon O. tshawytscha rearing year-round, or 400–1,000 age-1 smolts migrating April–June. The per capita consumption of salmonids by Northern Pikeminnow having a FL ≥ 200 mm was relatively low, due in large part to spatial segregation during the summer and the skewed size distribution of the predator population. Tiger muskellunge fed heavily on Northern Pikeminnow, other nonsalmonids, and minimally on salmonids. In addition to cannibalism within the Northern Pikeminnow population, predation by tiger muskellunge likely contributed to the low recruitment of larger (more piscivorous) Northern Pikeminnow, thereby decreasing the risk of predation to salmonids. This study highlights the importance of evaluating trophic interactions within reservoirs slated for reintroduction with anadromous salmonids, as they can be functional migration corridors and may offer profitable juvenile-rearing habitats despite hosting abundant predator populations.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2015.1131746","usgsCitation":"Sorel, M.H., Hansen, A., Connelly, K.A., Wilson, A.C., Lowery, E.D., and Beauchamp, D.A., 2016, Predation by Northern Pikeminnow and tiger muskellunge on juvenile salmonids in a high–head reservoir: Implications for anadromous fish reintroductions: Transactions of the American Fisheries Society, v. 145, no. 3, p. 521-536, https://doi.org/10.1080/00028487.2015.1131746.","startPage":"521","endPage":"536","numberOfPages":"16","ipdsId":"IP-070089","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":328430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Merwin Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.57789611816405,\n 45.921542672881465\n ],\n [\n -122.57789611816405,\n 46.02938880791639\n ],\n [\n -122.32452392578125,\n 46.02938880791639\n ],\n [\n -122.32452392578125,\n 45.921542672881465\n ],\n [\n -122.57789611816405,\n 45.921542672881465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"145","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-19","publicationStatus":"PW","scienceBaseUri":"57d3cf24e4b0571647d15f5d","contributors":{"authors":[{"text":"Sorel, Mark H.","contributorId":171739,"corporation":false,"usgs":false,"family":"Sorel","given":"Mark","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":648485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Adam G.","contributorId":103947,"corporation":false,"usgs":true,"family":"Hansen","given":"Adam G.","affiliations":[],"preferred":false,"id":648486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connelly, Kristin A.","contributorId":174523,"corporation":false,"usgs":false,"family":"Connelly","given":"Kristin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":648487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Andrew C.","contributorId":174524,"corporation":false,"usgs":false,"family":"Wilson","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":648488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowery, Erin D.","contributorId":174525,"corporation":false,"usgs":false,"family":"Lowery","given":"Erin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":648489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":648457,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176349,"text":"70176349 - 2016 - Growth of juvenile steelhead Oncorhynchus mykiss under size-selective pressure limited by seasonal bioenergetic and environmental constraints","interactions":[],"lastModifiedDate":"2016-09-09T10:02:47","indexId":"70176349","displayToPublicDate":"2016-09-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Growth of juvenile steelhead Oncorhynchus mykiss under size-selective pressure limited by seasonal bioenergetic and environmental constraints","docAbstract":"Increased freshwater growth of juvenile steelhead Oncorhynchus mykiss improved survival to smolt and adult stages, thus prompting an examination of factors affecting growth during critical periods that influenced survival through subsequent life stages. For three tributaries with contrasting thermal regimes, a bioenergetics model was used to evaluate how feeding rate and energy density of prey influenced seasonal growth and stage-specific survival of juvenile O. mykiss. Sensitivity analysis examined target levels for feeding rate and energy density of prey during the growing season that improved survival to the smolt and adult stages in each tributary. Simulated daily growth was greatest during warmer months (1 July to 30 September), whereas substantial body mass was lost during cooler months (1 December to 31 March). Incremental increases in annual feeding rate or energy density of prey during summer broadened the temperature range at which faster growth occurred and increased the growth of the average juvenile to match those that survived to smolt and adult stages. Survival to later life stages could be improved by increasing feeding rate or energy density of the diet during summer months, when warmer water temperatures accommodated increased growth potential. Higher growth during the summer period in each tributary could improve resiliency during subsequent colder periods that lead to metabolic stress and weight loss. As growth and corresponding survival rates in fresh water are altered by shifting abiotic regimes, it will be increasingly important for fisheries managers to better understand the mechanisms affecting growth limitations in rearing habitats and what measures might maintain or improve growth conditions and survival.
","language":"English","publisher":"Fisheries Society of the British Isles","publisherLocation":"London","doi":"10.1111/jfb.13078","usgsCitation":"Thompson, J.N., and Beauchamp, D.A., 2016, Growth of juvenile steelhead Oncorhynchus mykiss under size-selective pressure limited by seasonal bioenergetic and environmental constraints: Journal of Fish Biology, v. 89, no. 3, p. 1720-1739, https://doi.org/10.1111/jfb.13078.","startPage":"1720","endPage":"1739","numberOfPages":"20","ipdsId":"IP-078951","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":328432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Skagit River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.8,\n 47.9\n ],\n [\n -122.8,\n 49\n ],\n [\n -120.7,\n 49\n ],\n [\n -120.7,\n 47.9\n ],\n [\n -122.8,\n 47.9\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"89","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-10","publicationStatus":"PW","scienceBaseUri":"57d3cf23e4b0571647d15f4f","contributors":{"authors":[{"text":"Thompson, Jamie N.","contributorId":174511,"corporation":false,"usgs":false,"family":"Thompson","given":"Jamie","email":"","middleInitial":"N.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":648459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":648458,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176194,"text":"ofr20161146 - 2016 - Modeling water quality, temperature, and flow in Link River, south-central Oregon","interactions":[],"lastModifiedDate":"2016-09-12T09:32:32","indexId":"ofr20161146","displayToPublicDate":"2016-09-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1146","title":"Modeling water quality, temperature, and flow in Link River, south-central Oregon","docAbstract":"The 2.1-km (1.3-mi) Link River connects Upper Klamath Lake to the Klamath River in south-central Oregon. A CE-QUAL-W2 flow and water-quality model of Link River was developed to provide a connection between an existing model of the upper Klamath River and any existing or future models of Upper Klamath Lake. Water-quality sampling at six locations in Link River was done during 2013–15 to support model development and to provide a better understanding of instream biogeochemical processes. The short reach and high velocities in Link River resulted in fast travel times and limited water-quality transformations, except for dissolved oxygen. Reaeration through the reach, especially at the falls in Link River, was particularly important in moderating dissolved oxygen concentrations that at times entered the reach at Link River Dam with marked supersaturation or subsaturation. This reaeration resulted in concentrations closer to saturation downstream at the mouth of Link River.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161146","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Sullivan, A.B., and Rounds, S.A., 2016, Modeling water quality, temperature, and flow in Link River, south-central Oregon: U.S. Geological Survey Open-File Report 2016–1146, 31 p., https://dx.doi.org/10.3133/ofr20161146.","productDescription":"vi, 31 p.","numberOfPages":"41","onlineOnly":"Y","ipdsId":"IP-075012","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":328478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1146/coverthb.jpg"},{"id":328479,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1146/ofr20161146.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1146"}],"country":"United States","state":"Oregon","otherGeospatial":"Link River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.80619239807129,\n 42.21510581314013\n ],\n [\n -121.80619239807129,\n 42.23576221780897\n ],\n [\n -121.7815589904785,\n 42.23576221780897\n ],\n [\n -121.7815589904785,\n 42.21510581314013\n ],\n [\n -121.80619239807129,\n 42.21510581314013\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
http://or.water.usgs.gov
Two new analytical methods have been developed by the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) that allow the determination of 37 heat purgeable volatile organic compounds (VOCs) (USGS Method O-4437-16 [NWQL Laboratory Schedule (LS) 4437]) and 49 ambient purgeable VOCs (USGS Method O-4436-16 [NWQL LS 4436]) in unfiltered water. This report documents the procedures and initial performance of both methods. The compounds chosen for inclusion in the methods were determined as having high priority by the USGS National Water-Quality Assessment (NAWQA) Program. Both methods use a purge-and-trap technique with gas chromatography/mass spectrometry. The compounds are extracted from the sample by bubbling helium through a 25-milliliter sample. For the polar and less volatile compounds, the sample is heated at 60 degrees Celsius, whereas the less polar and more volatile compounds are purged using a separate analytical procedure at ambient temperature. The compounds are trapped on a sorbent trap, desorbed into a gas chromatograph/mass spectrometer for separation, and then identified and quantified. Sample preservation is recommended for both methods by adding a 1:1 solution of hydrochloric acid (HCl [1:1]) to water samples to adjust the pH to 2. Analysis within 14 days from sampling is recommended.
The heat purgeable method (USGS Method O-4437-16) operates with the mass spectrometer in the simultaneous full scan/selected ion monitoring mode. This method supersedes USGS Method O-4024-03 (NWQL LS 4024). Method detection limits (MDLs) for fumigant compounds 1,2-dibromoethane, 1,2-dichloropropane, 1,2,3-trichloropropane, chloropicrin, and 1,2-dibromo-3-chloropropane range from 0.002 to 0.010 microgram per liter (µg/L). The MDLs for all remaining heat purgeable VOCs range from 0.006 µg/L for tert-butyl methyl ether to 3 µg/L for alpha-terpineol. Calculated holding times indicate that 36 of the 37 heat purgeable VOCs are stable for a minimum of 14 days preserved with HCl (1:1) to pH 2, and many are stable longer. Acrolein was retained in the method validation and initial method implementation and subsequently deleted because of instability and inconsistent performance. 2-Chloromethyl oxirane, methyl oxirane, and oxirane were tested using this method, but the compounds degraded quickly with the HCl (1:1) used for microbial preservation.
The ambient purgeable method, USGS Method O-4436-16, operates with the mass spectrometer in the full scan mode. This method is a modification of USGS Method O-4127-96 (NWQL LS 2020). Several compounds were retained from Method O-4127-96 and will continue to be determined in Method O-4436-16. Eleven high priority compounds were added. MDLs for the high priority compounds range from 0.007 µg/L for 2,2-dichloro-1,1,1-trifluoroethane to 0.04 µg/L for 1,2,3,4-tetrahydronaphthalene and 1,3-butadiene. Historical MDLs for the compounds retained from Method O-4127-96 range from 0.009 µg/L for trans-1,2-dichloroethene to 0.1 µg/L for bromomethane. The calculated holding times for the compounds indicate the majority of the compounds are stable for a minimum of 14 days, or longer, at pH 2 with HCl (1:1) preservation. Four semivolatile compounds, 1,2-dimethylnaphthalene, 1,6-dimethylnaphthalene, 2,6-di-tert-butyl phenol, and 2-chloronapthalene, were tested and deleted from the method due to poor performance. Benzyl chloride was tested and deleted due to instability.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section B: Methods of the National Water Quality Laboratory in Book 5: Laboratory Analysis","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm5B12","usgsCitation":"Rose, D.L., Sandstrom, M.W., and Murtagh, L.K., 2016, Determination of heat purgeable and ambient purgeable volatile organic compounds in water by gas chromatography/mass spectrometry: U.S. Geological Survey Techniques and Methods, book 5, chap. B12, 61 p., https://dx.doi.org/10.3133/tm5B12.","productDescription":"Report: xi, 61 p.; Tables; Appendix Tables","numberOfPages":"78","onlineOnly":"Y","ipdsId":"IP-050850","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"links":[{"id":328047,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/05/b12/tm5b12_appendix_tables.xlsx","text":"Appendix Tables","size":"48.0 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"TM 5-B12 Appendix Tables"},{"id":328046,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/tm/05/b12/tm5b12_tables.xlsx","text":"Tables","size":"436 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"TM 5-B12 Tables"},{"id":328045,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/05/b12/tm5b12.pdf","text":"Report","size":"5.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 5-B12"},{"id":328039,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/05/b12/coverthb.jpg"}],"publicComments":"This report in Chapter 12 of Section B: Methods of the National Water Quality Laboratory in Book 5: Laboratory Analysis.","contact":"Chief, USGS National Water Quality Laboratory
Box 25585, Mail Stop 407
Denver, CO 80225-0585
Contemporary deposition (artificial marker horizon, 3.5 years) and long-term accumulation rates (210Pb profiles, ~150 years) of sediment and associated carbon (C), nitrogen (N), and phosphorus (P) were measured in wetlands along the tidal Savannah and Waccamaw rivers in the southeastern USA. Four sites along each river spanned an upstream-to-downstream salinification gradient, from upriver tidal freshwater forested wetland (TFFW), through moderately and highly salt-impacted forested wetlands, to oligohaline marsh downriver. Contemporary deposition rates (sediment, C, N, and P) were greatest in oligohaline marsh and lowest in TFFW along both rivers. Greater rates of deposition in oligohaline and salt-stressed forested wetlands were associated with a shift to greater clay and metal content that is likely associated with a change from low availability of watershed-derived sediment to TFFW and to greater availability of a coastal sediment source to oligohaline wetlands. Long-term accumulation rates along the Waccamaw River had the opposite spatial pattern compared to contemporary deposition, with greater rates in TFFW that declined to oligohaline marsh. Long-term sediment and elemental mass accumulation rates also were 3–9× lower than contemporary deposition rates. In comparison to other studies, sediment and associated nutrient accumulation in TFFW are lower than downriver/estuarine freshwater, oligohaline, and salt marshes, suggesting a reduced capacity for surface sedimentation (short-term) as well as shallow soil processes (long-term sedimentation) to offset sea level rise in TFFW. Nonetheless, their potentially large spatial extent suggests that TFFW have a large impact on the transport and fate of sediment and nutrients in tidal rivers and estuaries.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-016-0066-4","usgsCitation":"Noe, G.E., Hupp, C.R., Bernhardt, C.E., and Krauss, K.W., 2016, Contemporary deposition and long-term accumulation of sediment and nutrients by tidal freshwater forested wetlands impacted by sea level rise: Estuaries and Coasts, v. 39, no. 4, p. 1006-1019, https://doi.org/10.1007/s12237-016-0066-4.","productDescription":"14 p.","startPage":"1006","endPage":"1019","ipdsId":"IP-068994","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":328338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-12","publicationStatus":"PW","scienceBaseUri":"57d12c1de4b0571647cec207","chorus":{"doi":"10.1007/s12237-016-0066-4","url":"http://dx.doi.org/10.1007/s12237-016-0066-4","publisher":"Springer Nature","authors":"Noe Gregory B., Hupp Cliff R., Bernhardt Christopher E., Krauss Ken W.","journalName":"Estuaries and Coasts","publicationDate":"1/12/2016","auditedOn":"7/29/2016","publiclyAccessibleDate":"1/12/2016"},"contributors":{"authors":[{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":648237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":648238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":648239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":648240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176299,"text":"70176299 - 2016 - Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains","interactions":[],"lastModifiedDate":"2016-09-16T16:19:51","indexId":"70176299","displayToPublicDate":"2016-09-07T16:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains","docAbstract":"Human reliance on insect pollination services continues to increase even as pollinator populations exhibit global declines. Increased commodity crop prices and federal subsidies for biofuel crops, such as corn and soybeans, have contributed to rapid land-use change in the US Northern Great Plains (NGP), changes that may jeopardize habitat for honey bees in a part of the country that supports >40% of the US colony stock. We investigated changes in biofuel crop production and grassland land covers surrounding ∼18,000 registered commercial apiaries in North and South Dakota from 2006 to 2014. We then developed habitat selection models to identify remotely sensed land-cover and land-use features that influence apiary site selection by Dakota beekeepers. Our study demonstrates a continual increase in biofuel crops, totaling 1.2 Mha, around registered apiary locations in North and South Dakota. Such crops were avoided by commercial beekeepers when selecting apiary sites in this region. Furthermore, our analysis reveals how grasslands that beekeepers target when selecting commercial apiary locations are becoming less common in eastern North and South Dakota, changes that may have lasting impact on pollinator conservation efforts. Our study highlights how land-use change in the NGP is altering the landscape in ways that are seemingly less conducive to beekeeping. Our models can be used to guide future conservation efforts highlighted in the US national pollinator health strategy by identifying areas that support high densities of commercial apiaries and that have exhibited significant land-use changes.
","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1603481113","usgsCitation":"Otto, C., Roth, C.L., Carlson, B., and Smart, M., 2016, Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains: Proceedings of the National Academy of Sciences, v. 113, no. 7, p. 10430-10435, https://doi.org/10.1073/pnas.1603481113.","productDescription":"6 p.","startPage":"10430","endPage":"10435","ipdsId":"IP-073722","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1603481113","text":"Publisher Index Page"},{"id":328335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South 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,{"id":70176264,"text":"70176264 - 2016 - Detecting failure of climate predictions","interactions":[],"lastModifiedDate":"2016-09-07T10:55:50","indexId":"70176264","displayToPublicDate":"2016-09-07T11:55:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Detecting failure of climate predictions","docAbstract":"The practical consequences of climate change challenge society to formulate responses that are more suited to achieving long-term objectives, even if those responses have to be made in the face of uncertainty1, 2. Such a decision-analytic focus uses the products of climate science as probabilistic predictions about the effects of management policies3. Here we present methods to detect when climate predictions are failing to capture the system dynamics. For a single model, we measure goodness of fit based on the empirical distribution function, and define failure when the distribution of observed values significantly diverges from the modelled distribution. For a set of models, the same statistic can be used to provide relative weights for the individual models, and we define failure when there is no linear weighting of the ensemble models that produces a satisfactory match to the observations. Early detection of failure of a set of predictions is important for improving model predictions and the decisions based on them. We show that these methods would have detected a range shift in northern pintail 20 years before it was actually discovered, and are increasingly giving more weight to those climate models that forecast a September ice-free Arctic by 2055.
","language":"English","publisher":"Nature","doi":"10.1038/nclimate3041","usgsCitation":"Runge, M.C., Stroeve, J.C., Barrett, A.P., and McDonald-Madden, E., 2016, Detecting failure of climate predictions: Nature Climate Change, v. 6, p. 861-864, https://doi.org/10.1038/nclimate3041.","productDescription":"4 p.","startPage":"861","endPage":"864","ipdsId":"IP-064694","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470584,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://discovery.ucl.ac.uk/id/eprint/1522583/","text":"External Repository"},{"id":328306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-30","publicationStatus":"PW","scienceBaseUri":"57d12c1de4b0571647cec20b","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stroeve, Julienne C.","contributorId":174371,"corporation":false,"usgs":false,"family":"Stroeve","given":"Julienne","email":"","middleInitial":"C.","affiliations":[{"id":27440,"text":"National Snow and Ice Data Center","active":true,"usgs":false}],"preferred":false,"id":648127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, Andrew P.","contributorId":174372,"corporation":false,"usgs":false,"family":"Barrett","given":"Andrew","email":"","middleInitial":"P.","affiliations":[{"id":27440,"text":"National Snow and Ice Data Center","active":true,"usgs":false}],"preferred":false,"id":648128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald-Madden, Eve","contributorId":139968,"corporation":false,"usgs":false,"family":"McDonald-Madden","given":"Eve","email":"","affiliations":[{"id":13337,"text":"CSIRO Ecosystem Services, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":648129,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176265,"text":"70176265 - 2016 - Estimating indices of range shifts in birds using dynamic models when detection is imperfect","interactions":[],"lastModifiedDate":"2016-09-07T10:54:03","indexId":"70176265","displayToPublicDate":"2016-09-07T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating indices of range shifts in birds using dynamic models when detection is imperfect","docAbstract":"There is intense interest in basic and applied ecology about the effect of global change on current and future species distributions. Projections based on widely used static modeling methods implicitly assume that species are in equilibrium with the environment and that detection during surveys is perfect. We used multiseason correlated detection occupancy models, which avoid these assumptions, to relate climate data to distributional shifts of Louisiana Waterthrush in the North American Breeding Bird Survey (BBS) data. We summarized these shifts with indices of range size and position and compared them to the same indices obtained using more basic modeling approaches. Detection rates during point counts in BBS surveys were low, and models that ignored imperfect detection severely underestimated the proportion of area occupied and slightly overestimated mean latitude. Static models indicated Louisiana Waterthrush distribution was most closely associated with moderate temperatures, while dynamic occupancy models indicated that initial occupancy was associated with diurnal temperature ranges and colonization of sites was associated with moderate precipitation. Overall, the proportion of area occupied and mean latitude changed little during the 1997–2013 study period. Near-term forecasts of species distribution generated by dynamic models were more similar to subsequently observed distributions than forecasts from static models. Occupancy models incorporating a finite mixture model on detection – a new extension to correlated detection occupancy models – were better supported and may reduce bias associated with detection heterogeneity. We argue that replacing phenomenological static models with more mechanistic dynamic models can improve projections of future species distributions. In turn, better projections can improve biodiversity forecasts, management decisions, and understanding of global change biology.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13283","usgsCitation":"Clement, M.J., Hines, J., Nichols, J., Pardieck, K.L., and Ziolkowski, D., 2016, Estimating indices of range shifts in birds using dynamic models when detection is imperfect: Global Change Biology, v. 22, no. 10, p. 3273-3285, https://doi.org/10.1111/gcb.13283.","productDescription":"13 p.","startPage":"3273","endPage":"3285","ipdsId":"IP-069235","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-12","publicationStatus":"PW","scienceBaseUri":"57d12c1fe4b0571647cec225","contributors":{"authors":[{"text":"Clement, Matthew J. mclement@usgs.gov","contributorId":5278,"corporation":false,"usgs":true,"family":"Clement","given":"Matthew","email":"mclement@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pardieck, Keith L. 0000-0003-2779-4392 kpardieck@usgs.gov","orcid":"https://orcid.org/0000-0003-2779-4392","contributorId":4104,"corporation":false,"usgs":true,"family":"Pardieck","given":"Keith","email":"kpardieck@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ziolkowski, David J. Jr. 0000-0002-2500-4417 dziolkowski@usgs.gov","orcid":"https://orcid.org/0000-0002-2500-4417","contributorId":4103,"corporation":false,"usgs":true,"family":"Ziolkowski","given":"David J.","suffix":"Jr.","email":"dziolkowski@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648134,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176271,"text":"70176271 - 2016 - Assessing range-wide habitat suitability for the Lesser Prairie-Chicken","interactions":[],"lastModifiedDate":"2016-09-07T10:31:58","indexId":"70176271","displayToPublicDate":"2016-09-07T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing range-wide habitat suitability for the Lesser Prairie-Chicken","docAbstract":"Population declines of many wildlife species have been linked to habitat loss incurred through land-use change. Incorporation of conservation planning into development planning may mitigate these impacts. The threatened Lesser Prairie-Chicken (Tympanuchus pallidicinctus) is experiencing loss of native habitat and high levels of energy development across its multijurisdictional range. Our goal was to explore relationships of the species occurrence with landscape characteristics and anthropogenic effects influencing its distribution through evaluation of habitat suitability associated with one particular habitat usage, lekking. Lekking has been relatively well-surveyed, though not consistently, in all jurisdictions. All five states in which Lesser Prairie-Chickens occur cooperated in development of a Maxent habitat suitability model. We created two models, one with state as a factor and one without state. When state was included it was the most important predictor, followed by percent of land cover consisting of known or suspected used vegetation classes within a 5000 m area around a lek. Without state, land cover was the most important predictor of relative habitat suitability for leks. Among the anthropogenic predictors, landscape condition, a measure of human impact integrated across several factors, was most important, ranking third in importance without state. These results quantify the relative suitability of the landscape within the current occupied range of Lesser Prairie-Chickens. These models, combined with other landscape information, form the basis of a habitat assessment tool that can be used to guide siting of development projects and targeting of areas for conservation.
","language":"English","publisher":"Avian Conservation and Ecology","doi":"10.5751/ACE-00807-110102","usgsCitation":"Jarnevich, C.S., Holcombe, T.R., Grisham, B.A., Timmer, J.M., Boal, C.W., Butler, M., Pitman, J.C., Kyle, S., Klute, D., Beauprez, G.M., Janus, A., and Van Pelt, W.E., 2016, Assessing range-wide habitat suitability for the Lesser Prairie-Chicken: Avian Conservation and Ecology, v. 11, no. 1, Article 2: 18 p., https://doi.org/10.5751/ACE-00807-110102.","productDescription":"Article 2: 18 p.","ipdsId":"IP-066730","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470586,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-00807-110102","text":"Publisher Index Page"},{"id":328299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, New Mexico, Oklahoma, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.6884765625,\n 32.02670629333614\n ],\n [\n -105.6884765625,\n 39.977120098439634\n ],\n [\n -97.97607421875,\n 39.977120098439634\n ],\n [\n -97.97607421875,\n 32.02670629333614\n ],\n [\n -105.6884765625,\n 32.02670629333614\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d12c1be4b0571647cec201","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":648148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holcombe, Tracy R. holcombet@usgs.gov","contributorId":3694,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","email":"holcombet@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":648149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grisham, Blake A.","contributorId":75419,"corporation":false,"usgs":true,"family":"Grisham","given":"Blake","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":648150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Timmer, Jennifer M.","contributorId":140717,"corporation":false,"usgs":false,"family":"Timmer","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":648151,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":648152,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butler, Matthew","contributorId":174375,"corporation":false,"usgs":false,"family":"Butler","given":"Matthew","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":648153,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pitman, James C.","contributorId":40529,"corporation":false,"usgs":true,"family":"Pitman","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":648154,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kyle, Sean","contributorId":174376,"corporation":false,"usgs":false,"family":"Kyle","given":"Sean","email":"","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":648155,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Klute, David","contributorId":174377,"corporation":false,"usgs":false,"family":"Klute","given":"David","affiliations":[{"id":16861,"text":"Colorado Parks and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":648156,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Beauprez, Grant M.","contributorId":172889,"corporation":false,"usgs":false,"family":"Beauprez","given":"Grant","email":"","middleInitial":"M.","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":648157,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Janus, Allan","contributorId":174378,"corporation":false,"usgs":false,"family":"Janus","given":"Allan","email":"","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":648158,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Van Pelt, William E.","contributorId":101558,"corporation":false,"usgs":false,"family":"Van Pelt","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":648159,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70176632,"text":"70176632 - 2016 - Technical Note: Harmonizing met-ocean model data via standard web services within small research groups","interactions":[],"lastModifiedDate":"2016-09-26T15:51:58","indexId":"70176632","displayToPublicDate":"2016-09-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2928,"text":"Ocean science and engineering","active":true,"publicationSubtype":{"id":10}},"title":"Technical Note: Harmonizing met-ocean model data via standard web services within small research groups","docAbstract":"Work over the last decade has resulted in standardised web services and tools that can significantly improve the efficiency and effectiveness of working with meteorological and ocean model data. While many operational modelling centres have enabled query and access to data via common web services, most small research groups have not. The penetration of this approach into the research community, where IT resources are limited, can be dramatically improved by (1) making it simple for providers to enable web service access to existing output files; (2) using free technologies that are easy to deploy and configure; and (3) providing standardised, service-based tools that work in existing research environments. We present a simple, local brokering approach that lets modellers continue to use their existing files and tools, while serving virtual data sets that can be used with standardised tools. The goal of this paper is to convince modellers that a standardised framework is not only useful but can be implemented with modest effort using free software components. We use NetCDF Markup language for data aggregation and standardisation, the THREDDS Data Server for data delivery, pycsw for data search, NCTOOLBOX (MATLAB®) and Iris (Python) for data access, and Open Geospatial Consortium Web Map Service for data preview. We illustrate the effectiveness of this approach with two use cases involving small research modelling groups at NATO and USGS.","language":"English","publisher":"European Geosciences Union","publisherLocation":"Munich, Germany","doi":"10.5194/os-12-633-2016","usgsCitation":"Signell, R.P., and Camossi, E., 2016, Technical Note: Harmonizing met-ocean model data via standard web services within small research groups: Ocean science and engineering, v. 12, no. 3, p. 633-645, https://doi.org/10.5194/os-12-633-2016.","productDescription":"13 p.","startPage":"633","endPage":"645","numberOfPages":"13","ipdsId":"IP-068770","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470588,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/os-12-633-2016","text":"Publisher Index Page"},{"id":328999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328896,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.5194/os-12-633-2016"}],"volume":"12","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-04","publicationStatus":"PW","scienceBaseUri":"57f7c656e4b0bc0bec09c907","contributors":{"authors":[{"text":"Signell, Richard P. 0000-0003-0682-9613 rsignell@usgs.gov","orcid":"https://orcid.org/0000-0003-0682-9613","contributorId":140906,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camossi, E.","contributorId":174843,"corporation":false,"usgs":false,"family":"Camossi","given":"E.","email":"","affiliations":[{"id":27519,"text":"NATO STO Centre for Maritime Research and Experimentation, La Spezia, SP, Italy","active":true,"usgs":false}],"preferred":false,"id":649434,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176629,"text":"70176629 - 2016 - Evolution of 'smoke' induced seed germination in pyroendemic plants","interactions":[],"lastModifiedDate":"2016-09-26T16:20:05","indexId":"70176629","displayToPublicDate":"2016-09-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3434,"text":"South African Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of 'smoke' induced seed germination in pyroendemic plants","docAbstract":"Pyroendemics are plants in which seedling germination and successful seedling recruitment are restricted to immediate postfire environments. In many fire-prone ecosystems species cue their germination to immediate postfire conditions. Here we address how species have evolved one very specific mechanism, which is using the signal of combustion products from biomass. This is often termed ‘smoke’ stimulated germination although it was first discovered in studies of charred wood effects on germination of species strictly tied to postfire conditions (pyroendemics). Smoke stimulated germination has been reported from a huge diversity of plant species. The fact that the organic compound karrikin (a product of the degradation of cellulose) is a powerful germination cue in many species has led to the assumption that this compound is the only chemical responsible for smoke-stimulated germination. Here we show that smoke-stimulated germination is a complex trait with different compounds involved. We propose that convergent evolution is a more parsimonious model for smoke stimulated germination, suggesting that this trait evolved multiple times in response to a variety of organic and inorganic chemical triggers in smoke. The convergent model is congruent with the evolution of many other fire-related traits.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.sajb.2016.07.012","usgsCitation":"Keeley, J.E., and Pausas, J., 2016, Evolution of 'smoke' induced seed germination in pyroendemic plants: South African Journal of Botany, https://doi.org/10.1016/j.sajb.2016.07.012.","numberOfPages":"5","ipdsId":"IP-074140","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.sajb.2016.07.012","text":"Publisher Index Page"},{"id":329003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c656e4b0bc0bec09c909","contributors":{"authors":[{"text":"Keeley, J. E.","contributorId":119549,"corporation":false,"usgs":true,"family":"Keeley","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":649697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pausas, J.G.","contributorId":33279,"corporation":false,"usgs":true,"family":"Pausas","given":"J.G.","affiliations":[],"preferred":false,"id":649698,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176625,"text":"70176625 - 2016 - Submarine landslides in Arctic sedimentation: Canada Basin","interactions":[],"lastModifiedDate":"2017-06-29T11:56:00","indexId":"70176625","displayToPublicDate":"2016-09-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Submarine landslides in Arctic sedimentation: Canada Basin","docAbstract":"Canada Basin of the Arctic Ocean is the least studied ocean basin in the World. Marine seismic field \nprograms were conducted over the past 6 years using Canadian and American icebreakers. These expeditions \nacquired more than 14,000 line-km of multibeam bathymetric and multi-channel seismic reflection data \nover abyssal plain, continental rise and slope regions of Canada Basin; areas where little or no \nseismic reflection data existed previously. Canada Basin is a turbidite-filled basin with flat-lying \nreflections correlateable over 100s of km. For the upper half of the sedimentary succession, evidence \nof sedimentary processes other than turbidity current deposition is rare. The Canadian Archipelago \nand Beaufort Sea margins host stacked mass transport deposits from which many of these turbidites \nappear to derive. The stratigraphic succession of the MacKenzie River fan is dominated by mass \ntransport deposits; one such complex is in excess of 132,000 km2 in area and underlies much of \nthe southern abyssal plain. The modern seafloor is also scarred with escarpments and mass failure \ndeposits; evidence that submarine landsliding is an ongoing process. In its latest phase of \ndevelopment, Canada Basin is geomorphologically confined with stable oceanographic structure, \nresulting in restricted depositional/reworking processes. The sedimentary record, therefore, \nunderscores the significance of mass-transport processes in providing sediments to oceanic abyssal \nplains as few other basins are able to do.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Submarine mass movements and their consequences","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/978-94-007-2162-3_13","usgsCitation":"Mosher, D.C., Shimeld, J., Hutchinson, D.R., Lebedova-Ivanova, N., and Chapman, C., 2016, Submarine landslides in Arctic sedimentation: Canada Basin, chap. of Submarine mass movements and their consequences, v. 31, p. 147-157, https://doi.org/10.1007/978-94-007-2162-3_13.","productDescription":"11 p.","startPage":"147","endPage":"157","ipdsId":"IP-029492","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":329010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","otherGeospatial":"Canada Basin of the Arctic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -132.451171875,\n 70.11048478105927\n ],\n [\n -136.40625,\n 69.56522590149099\n ],\n [\n -139.74609375,\n 69.80930869552193\n ],\n [\n -151.083984375,\n 70.9883492241249\n ],\n [\n -153.544921875,\n 73.84928645675248\n ],\n [\n -155.390625,\n 76.28954161916205\n ],\n [\n -150.46875,\n 77.44694030325893\n ],\n [\n -146.95312499999997,\n 78.2960438968259\n ],\n [\n -140.537109375,\n 78.59529919212493\n ],\n [\n -131.8359375,\n 78.69910592550542\n ],\n [\n -123.48632812499999,\n 78.260332194717\n ],\n [\n -118.564453125,\n 77.78619050110466\n ],\n [\n -124.365234375,\n 76.16399261609192\n ],\n [\n -124.98046874999999,\n 74.68325030051861\n ],\n [\n -125.68359374999999,\n 73.25204504887357\n ],\n [\n -127.001953125,\n 71.38514208411495\n ],\n [\n -127.61718749999999,\n 70.78690984117928\n ],\n [\n -132.451171875,\n 70.11048478105927\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2011-09-15","publicationStatus":"PW","scienceBaseUri":"57f7c657e4b0bc0bec09c90b","contributors":{"authors":[{"text":"Mosher, David C.","contributorId":66118,"corporation":false,"usgs":false,"family":"Mosher","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":649705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shimeld, John","contributorId":146869,"corporation":false,"usgs":false,"family":"Shimeld","given":"John","affiliations":[],"preferred":false,"id":649706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutchinson, Deborah R. 0000-0002-2544-5466 dhutchinson@usgs.gov","orcid":"https://orcid.org/0000-0002-2544-5466","contributorId":521,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Deborah","email":"dhutchinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":649707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lebedova-Ivanova, N","contributorId":120457,"corporation":false,"usgs":true,"family":"Lebedova-Ivanova","given":"N","email":"","affiliations":[],"preferred":false,"id":649708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, C.","contributorId":16951,"corporation":false,"usgs":true,"family":"Chapman","given":"C.","affiliations":[],"preferred":false,"id":649709,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}