This report is a user guide for the low-flow analysis methods provided with version 1.0 of the Surface Water Toolbox (SWToolbox) computer program. The software combines functionality from two software programs—U.S. Geological Survey (USGS) SWSTAT and U.S. Environmental Protection Agency (EPA) DFLOW. Both of these programs have been used primarily for computation of critical low-flow statistics. The main analysis methods are the computation of hydrologic frequency statistics such as the 7-day minimum flow that occurs on average only once every 10 years (7Q10), computation of design flows including biologically based flows, and computation of flow-duration curves and duration hydrographs. Other annual, monthly, and seasonal statistics can also be computed. The interface facilitates retrieval of streamflow discharge data from the USGS National Water Information System and outputs text reports for a record of the analysis. Tools for graphing data and screening tests are available to assist the analyst in conducting the analysis.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Statistical analysis in Book 4: Hydrologic analysis and interpretation","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4A11","collaboration":"Prepared in cooperation with the U.S. Environment Protection Agency","usgsCitation":"Kiang, J.E., Flynn, K.M., Zhai, Tong, Hummel, Paul, and Granato, Gregory, 2018, SWToolbox: A surface-water tool-box for statistical analysis of streamflow time series: U.S. Geological Survey Techniques and Methods, book 4, chap. A–11, 33 p., https://doi.org/10.3133/tm4A11.","productDescription":"Report: vii, 34 p.; Software Download and Release Notes","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-086817","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":352238,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/04/a11/coverthb.jpg"},{"id":352239,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/04/a11/tm4a11.pdf","text":"Report","size":"5.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 4-A11"},{"id":352240,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://water.usgs.gov/osw/swtoolbox/","text":"Software Download and Release Notes","linkHelpText":"- SWToolbox Software Information"}],"publicComments":"This report is Chapter 11 of Section A: Statistical analysis in Book 4: Hydrologic analysis and interpretation.","contact":"Chief, Analysis and Prediction Branch
Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 415
Reston, VA 20192
Freshwater mussels are among the most-imperiled organisms worldwide, although they provide a variety of important functions in the streams and rivers they inhabit. Among Atlantic-slope rivers, the Delaware River is known for its freshwater mussel diversity and biomass; however, limited data are available on the freshwater mussel fauna in the lower, non-tidal portion of the river. This section of the Delaware River has experienced decades of water-quality degradation from both industrial and municipal sources, primarily as a function of one of its major tributaries, the Lehigh River. We completed semi-quantitative snorkel surveys in 53.5 of the 121 km of the river to document mussel community composition and the continued impacts from pollution (particularly inputs from the Lehigh River) on mussel fauna. We detected changes in mussel catch per unit effort (CPUE) below the confluence of the Lehigh River, with significant declines in the dominant species Elliptio complanata (Eastern Elliptio) as we moved downstream from its confluence—CPUE dropped from 179 to 21 mussels/h. Patterns in mussel distribution around the Lehigh confluence matched chemical signatures of Lehigh water input. Specifically, Eastern Elliptio CPUE declined more quickly moving downstream on the Pennsylvania bank, where Lehigh River water input was more concentrated compared to the New Jersey bank. A definitive causal link remains to be established between the Lehigh River and the dramatic shifts in mussel community composition, warranting continued investigation as it relates to mussel conservation and restoration in the basin.
","language":"English","publisher":"Eagle Hill Publications","doi":"10.1656/045.025.0106","usgsCitation":"Blakeslee, C.J., Silldorff, E.L., and Galbraith, H.S., 2018, Changes in freshwater mussel communities linked to legacy pollution in the Lower Delaware River: Northeastern Naturalist, v. 25, no. 1, p. 101-116, https://doi.org/10.1656/045.025.0106.","productDescription":"16 p.","startPage":"101","endPage":"116","ipdsId":"IP-073172","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":352300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Delaware River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.25909423828125,\n 40.18097176388719\n ],\n [\n -74.7344970703125,\n 40.18097176388719\n ],\n [\n -74.7344970703125,\n 40.99855696412671\n ],\n [\n -75.25909423828125,\n 40.99855696412671\n ],\n [\n -75.25909423828125,\n 40.18097176388719\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee70ce4b0da30c1bfc06f","contributors":{"authors":[{"text":"Blakeslee, Carrie J. 0000-0002-0801-5325 cblakeslee@usgs.gov","orcid":"https://orcid.org/0000-0002-0801-5325","contributorId":5462,"corporation":false,"usgs":true,"family":"Blakeslee","given":"Carrie","email":"cblakeslee@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silldorff, Erik L.","contributorId":203041,"corporation":false,"usgs":false,"family":"Silldorff","given":"Erik","email":"","middleInitial":"L.","affiliations":[{"id":36569,"text":"Delaware River Basin Commission","active":true,"usgs":false}],"preferred":false,"id":730392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195888,"text":"70195888 - 2018 - Human Bacteroides and total coliforms as indicators of recent combined sewer overflows and rain events in urban creeks","interactions":[],"lastModifiedDate":"2018-03-07T14:59:58","indexId":"70195888","displayToPublicDate":"2018-03-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Human Bacteroides and total coliforms as indicators of recent combined sewer overflows and rain events in urban creeks","title":"Human Bacteroides and total coliforms as indicators of recent combined sewer overflows and rain events in urban creeks","docAbstract":"Combined sewer overflows (CSOs) are a known source of human fecal pollution and human pathogens in urban water bodies, which may present a significant public health threat. To monitor human fecal contamination in water, bacterial fecal indicator organisms (FIOs) are traditionally used. However, because FIOs are not specific to human sources and do not correlate with human pathogens, alternative fecal indicators detected using qPCR are becoming of interest to policymakers. For this reason, this study measured correlations between the number and duration of CSOs and mm of rainfall, concentrations of traditional FIOs and alternative indicators, and the presence of human pathogens in two urban creeks. Samples were collected May–July 2016 and analyzed for concentrations of FIOs (total coliforms and E. coli) using membrane filtration as well as for three alternative fecal indicators (human Bacteroides HF183 marker, human polyomavirus (HPoV), pepper mild mottle virus (PMMoV)) and nine human pathogens using qPCR. Four of the nine pathogens analyzed were detected at these sites including adenovirus, Enterohemorrhagic E. coli, norovirus, and Salmonella. Among all indicators studied, human Bacteroides and total coliforms were significantly correlated with recent CSO and rainfall events, while E. coli, PMMoV, and HPoV did not show consistent significant correlations. Further, human Bacteroides were a more specific indicator, while total coliforms were a more sensitive indicator of CSO and rainfall events. Results may have implications for the use and interpretation of these indicators in future policy or monitoring programs.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.02.108","usgsCitation":"McGinnis, S., Spencer, S.K., Firnstahl, A.D., Stokdyk, J.P., Borchardt, M.A., McCarthy, D., and Murphy, H., 2018, Human Bacteroides and total coliforms as indicators of recent combined sewer overflows and rain events in urban creeks: Science of the Total Environment, v. 630, p. 967-976, https://doi.org/10.1016/j.scitotenv.2018.02.108.","productDescription":"10 p.","startPage":"967","endPage":"976","ipdsId":"IP-092275","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":352298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","city":"Philadelphia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.38063049316406,\n 39.839649900638\n ],\n [\n -75.04074096679688,\n 39.839649900638\n ],\n [\n -75.04074096679688,\n 40.0759697987031\n ],\n [\n -75.38063049316406,\n 40.0759697987031\n ],\n [\n -75.38063049316406,\n 39.839649900638\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"630","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee70ce4b0da30c1bfc06d","contributors":{"authors":[{"text":"McGinnis, Shannon","contributorId":203051,"corporation":false,"usgs":false,"family":"McGinnis","given":"Shannon","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":730401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":730402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730400,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":730404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCarthy, David","contributorId":167752,"corporation":false,"usgs":false,"family":"McCarthy","given":"David","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":730405,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murphy, Heather","contributorId":203052,"corporation":false,"usgs":false,"family":"Murphy","given":"Heather","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":730406,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196885,"text":"70196885 - 2018 - Doublethink and scale mismatch polarize policies for an invasive tree","interactions":[],"lastModifiedDate":"2018-05-14T15:27:25","indexId":"70196885","displayToPublicDate":"2018-03-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Doublethink and scale mismatch polarize policies for an invasive tree","docAbstract":"Mismatches between invasive species management policies and ecological knowledge can lead to profound societal consequences. For this reason, natural resource agencies have adopted the scientifically-based density-impact invasive species curve to guide invasive species management. We use the density-impact model to evaluate how well management policies for a native invader (Juniperus virginiana) match scientific guidelines. Juniperus virginiana invasion is causing a sub-continental regime shift from grasslands to woodlands in central North America, and its impacts span collapses in endemic diversity, heightened wildfire risk, and crashes in grazing land profitability. We (1) use land cover data to identify the stage of Juniperus virginiana invasion for three ecoregions within Nebraska, USA, (2) determine the range of invasion stages at individual land parcel extents within each ecoregion based on the density-impact model, and (3) determine policy alignment and mismatches relative to the density-impact model in order to assess their potential to meet sustainability targets and avoid societal impacts as Juniperus virginiana abundance increases. We found that nearly all policies evidenced doublethink and policy-ecology mismatches, for instance, promoting spread of Juniperus virginiana regardless of invasion stage while simultaneously managing it as a native invader in the same ecoregion. Like other invasive species, theory and literature for this native invader indicate that the consequences of invasion are unlikely to be prevented if policies fail to prioritize management at incipient invasion stages. Theory suggests a more realistic approach would be to align policy with the stage of invasion at local and ecoregion management scales. There is a need for scientists, policy makers, and ecosystem managers to move past ideologies governing native versus non-native invader classification and toward a framework that accounts for the uniqueness of native species invasions, their anthropogenic drivers, and their impacts on ecosystem services.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0189733","usgsCitation":"Roberts, C.P., Uden, D.R., Allen, C.R., and Twidwell, D., 2018, Doublethink and scale mismatch polarize policies for an invasive tree: PLoS ONE, v. 13, no. 3, p. 1-20, https://doi.org/10.1371/journal.pone.0189733.","productDescription":"e0189733; 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-092986","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468930,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0189733","text":"Publisher Index Page"},{"id":354145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","volume":"13","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-07","publicationStatus":"PW","scienceBaseUri":"5afee70ce4b0da30c1bfc06b","contributors":{"authors":[{"text":"Roberts, Caleb P. 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":197604,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","middleInitial":"P.","affiliations":[],"preferred":false,"id":735230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Twidwell, Dirac","contributorId":187431,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","email":"","affiliations":[],"preferred":false,"id":735232,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195856,"text":"70195856 - 2018 - Effects of sediment application on Nyssa aquatica and Taxodium distichum saplings","interactions":[],"lastModifiedDate":"2018-09-10T11:42:35","indexId":"70195856","displayToPublicDate":"2018-03-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of sediment application on Nyssa aquatica and Taxodium distichum saplings","title":"Effects of sediment application on Nyssa aquatica and Taxodium distichum saplings","docAbstract":"The decline of Taxodium distichum forests along the Gulf Coast of North America is partly due to elevation loss and subsequent flooding. In many coastal wetlands, a common approach for coastal restoration is to rebuild elevation through the application of dredge material, but this technique has not been used widely in coastal forests due to concerns of negatively impacting trees. This experiment explored growth responses of Nyssa aquatica and T. distichumsaplings to applications of low salinity dredge material (0.08 ± 0.001 ppt) in a greenhouse setting. Compared to controls, saplings of T. distichum grown in 7 and 15 cm sediment depths had greater final height, and increased stem and total biomass. In contrast, N. aquatica did not respond to sediment application. The absence of a negative response to sediment application in these two species indicates that dredge material application has the potential to improve the ecosystem health of sinking swamp forests by raising their elevation. We recommend that field trials applying sediment additions in coastal forests include careful monitoring of ecosystem responses, including seed bank expression, seedling regeneration, and root and canopy production.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-018-1011-z","usgsCitation":"Grandy, I., Messina, L., Anemaet, E.R., and Middleton, B.A., 2018, Effects of sediment application on Nyssa aquatica and Taxodium distichum saplings: Wetlands, v. 38, no. 4, p. 855-859, https://doi.org/10.1007/s13157-018-1011-z.","productDescription":"5 p.","startPage":"855","endPage":"859","ipdsId":"IP-086969","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437989,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZK5F5P","text":"USGS data release","linkHelpText":"Data for sediment application to cypress and tupelo seedlings in greenhouse study - 2016"},{"id":352260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-02","publicationStatus":"PW","scienceBaseUri":"5afee70de4b0da30c1bfc076","contributors":{"authors":[{"text":"Grandy, Isabel","contributorId":202974,"corporation":false,"usgs":false,"family":"Grandy","given":"Isabel","email":"","affiliations":[{"id":36566,"text":"St Joseph Academy, Baton Rouge","active":true,"usgs":false}],"preferred":false,"id":730323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Messina, Linda","contributorId":202975,"corporation":false,"usgs":false,"family":"Messina","given":"Linda","email":"","affiliations":[{"id":36567,"text":"St Joseph Academy","active":true,"usgs":false}],"preferred":false,"id":730324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anemaet, Evelyn R. 0000-0002-9743-8732 anemaete@usgs.gov","orcid":"https://orcid.org/0000-0002-9743-8732","contributorId":4882,"corporation":false,"usgs":true,"family":"Anemaet","given":"Evelyn","email":"anemaete@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":730325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":730322,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194669,"text":"fs20173089 - 2018 - Rare earth element and rare metal inventory of central Asia","interactions":[],"lastModifiedDate":"2018-03-06T16:14:14","indexId":"fs20173089","displayToPublicDate":"2018-03-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3089","title":"Rare earth element and rare metal inventory of central Asia","docAbstract":"Rare earth elements (REE), with their unique physical and chemical properties, are an essential part of modern living. REE have enabled development and manufacture of high-performance materials, processes, and electronic technologies commonly used today in computing and communications, clean energy and transportation, medical treatment and health care, glass and ceramics, aerospace and defense, and metallurgy and chemical refining. Central Asia is an emerging REE and rare metals (RM) producing region. A newly compiled inventory of REE-RM-bearing mineral occurrences and delineation of areas-of-interest indicate this region may have considerable undiscovered resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173089","usgsCitation":"Mihalasky, M.J., Tucker, R.D., Renaud, K., and Verstraeten, I.M., 2018, Rare earth element and rare metal inventory of central Asia: U.S. Geological Survey Fact Sheet 2017–3089, 4 p., https://doi.org/10.3133/fs20173089.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-089992","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":352223,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3089/coverthb.jpg"},{"id":352224,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3089/fs20173089.pdf","text":"Report","size":"7.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2017-3089"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 45,\n 35\n ],\n [\n 90,\n 35\n ],\n [\n 90,\n 56\n ],\n [\n 45,\n 56\n ],\n [\n 45,\n 35\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"This study investigated the susceptibility of American singer canaries (Serinus canaria) to West Nile virus (WNV) infection. Adult canaries were inoculated with 105, 102, and 101plaque forming units (PFU) of WNV. All birds became infected and mortality occurred by 5 days postinoculation. The load of viral RNA as determined by RT-qPCR was dose dependent, and was higher at all doses than the level of viral RNA detected in American crows (Corvus brachyrhynchos) challenged with 105 PFU of WNV. In a subset of birds, viremia was detected by virus isolation; canaries inoculated with 101 PFU of WNV developed viremia exceeding 1010 PFU/mL serum, a log higher than American crows inoculated with 105 PFU of virus. In canaries euthanized at 3 days postinoculation, WNV was isolated at >107 PFU of virus/100 mg of lung, liver, heart, spleen, and kidney tissues. Pallor of the liver and splenomegaly were the most common macroscopic observations and histologic lesions were most severe in liver, spleen, and kidney, particularly in canaries challenged with 102 and 101 PFU. Immunoreactivity to WNV was pronounced in the liver and spleen. IgG antibodies to WNV were detected in serum by enzyme immunoassay in 11 of 21 (52%) challenged canaries and, in 4 of 5 (20%) of these sera, neutralization antibodies were detected at a titer ≥ 1:20. American singer canaries provide a useful model as this bird species is highly susceptible to WNV infection.
","language":"English","publisher":"American College of Veterinary Pathologists","doi":"10.1177/0300985818760377","usgsCitation":"Hofmeister, E.K., Lund, M., and Shearn-Bochsler, V.I., 2018, West Nile virus infection in American singer canaries: An experimental model in a highly susceptible avian species: Veterinary Pathology, v. 55, no. 4, p. 531-538, https://doi.org/10.1177/0300985818760377.","productDescription":"8 p.; Data Release","startPage":"531","endPage":"538","ipdsId":"IP-085734","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":460991,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/0300985818760377","text":"Publisher Index Page"},{"id":352250,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418295,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XG9QD9","linkFileType":{"id":5,"text":"html"}}],"volume":"55","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-05","publicationStatus":"PW","scienceBaseUri":"5afee70de4b0da30c1bfc078","contributors":{"authors":[{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":730315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lund, Melissa 0000-0003-4577-2015 mlund@usgs.gov","orcid":"https://orcid.org/0000-0003-4577-2015","contributorId":177923,"corporation":false,"usgs":true,"family":"Lund","given":"Melissa","email":"mlund@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":730317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":730316,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195864,"text":"70195864 - 2018 - Environmental conditions synchronize waterbird mortality events in the Great Lakes","interactions":[],"lastModifiedDate":"2023-06-20T16:00:24.022647","indexId":"70195864","displayToPublicDate":"2018-03-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental conditions synchronize waterbird mortality events in the Great Lakes","docAbstract":"Nitrate contamination of groundwater in agricultural areas poses a major challenge to the sustainability of water resources. Aquifer vulnerability models are useful tools that can help resource managers identify areas of concern, but quantifying nitrogen (N) inputs in such models is challenging, especially at large spatial scales. We sought to improve regional nitrate (NO3−) input functions by characterizing unsaturated zone NO3− transport to groundwater through use of surrogate, machine-learning metamodels of a process-based N flux model. The metamodels used boosted regression trees (BRTs) to relate mappable landscape variables to parameters and outputs of a previous “vertical flux method” (VFM) applied at sampled wells in the Fox, Wolf, and Peshtigo (FWP) river basins in northeastern Wisconsin. In this context, the metamodels upscaled the VFM results throughout the region, and the VFM parameters and outputs are the metamodel response variables. The study area encompassed the domain of a detailed numerical model that provided additional predictor variables, including groundwater recharge, to the metamodels. We used a statistical learning framework to test a range of model complexities to identify suitable hyperparameters of the six BRT metamodels corresponding to each response variable of interest: NO3− source concentration factor (which determines the local NO3− input concentration); unsaturated zone travel time; NO3− concentration at the water table in 1980, 2000, and 2020 (three separate metamodels); and NO3− “extinction depth”, the eventual steady state depth of the NO3−front. The final metamodels were trained to 129 wells within the active numerical flow model area, and considered 58 mappable predictor variables compiled in a geographic information system (GIS). These metamodels had training and cross-validation testing R2 values of 0.52 – 0.86 and 0.22 – 0.38, respectively, and predictions were compiled as maps of the above response variables. Testing performance was reasonable, considering that we limited the metamodel predictor variables to mappable factors as opposed to using all available VFM input variables. Relationships between metamodel predictor variables and mapped outputs were generally consistent with expectations, e.g. with greater source concentrations and NO3− at the groundwater table in areas of intensive crop use and well drained soils. Shorter unsaturated zone travel times in poorly drained areas likely indicated preferential flow through clay soils, and a tendency for fine grained deposits to collocate with areas of shallower water table. Numerical estimates of groundwater recharge were important in the metamodels and may have been a proxy for N input and redox conditions in the northern FWP, which had shallow predicted NO3− extinction depth. The metamodel results provide proof-of-concept for regional characterization of unsaturated zone NO3− transport processes in a statistical framework based on readily mappable GIS input variables.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.02.029","usgsCitation":"Nolan, B.T., Green, C.T., Juckem, P.F., Liao, L., and Reddy, J.E., 2018, Metamodeling and mapping of nitrate flux in the unsaturated zone and groundwater, Wisconsin, USA: Journal of Hydrology, v. 559, p. 428-441, https://doi.org/10.1016/j.jhydrol.2018.02.029.","productDescription":"14 p.","startPage":"428","endPage":"441","ipdsId":"IP-088948","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":468931,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2018.02.029","text":"Publisher Index Page"},{"id":437988,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZC81VR","text":"USGS data release","linkHelpText":"Data Release for Metamodeling and Mapping of Nitrate Flux in the Unsaturated Zone and Groundwater, Wisconsin, USA"},{"id":352259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90,\n 43.5\n ],\n [\n -87.38525390624999,\n 43.5\n ],\n [\n -87.38525390624999,\n 46\n ],\n [\n -90,\n 46\n ],\n [\n -90,\n 43.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"559","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee70ce4b0da30c1bfc074","contributors":{"authors":[{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":730332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":730331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liao, Lixia 0000-0003-2513-0680 lliao@usgs.gov","orcid":"https://orcid.org/0000-0003-2513-0680","contributorId":5311,"corporation":false,"usgs":true,"family":"Liao","given":"Lixia","email":"lliao@usgs.gov","affiliations":[],"preferred":true,"id":730335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reddy, James E. 0000-0002-6998-7267 jreddy@usgs.gov","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":1080,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"jreddy@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730334,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194992,"text":"sir20185023 - 2018 - Comparability of river suspended-sediment sampling and laboratory analysis methods","interactions":[],"lastModifiedDate":"2018-03-12T12:15:19","indexId":"sir20185023","displayToPublicDate":"2018-03-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5023","title":"Comparability of river suspended-sediment sampling and laboratory analysis methods","docAbstract":"Accurate measurements of suspended sediment, a leading water-quality impairment in many Minnesota rivers, are important for managing and protecting water resources; however, water-quality standards for suspended sediment in Minnesota are based on grab field sampling and total suspended solids (TSS) laboratory analysis methods that have underrepresented concentrations of suspended sediment in rivers compared to U.S. Geological Survey equal-width-increment or equal-discharge-increment (EWDI) field sampling and suspended sediment concentration (SSC) laboratory analysis methods. Because of this underrepresentation, the U.S. Geological Survey, in collaboration with the Minnesota Pollution Control Agency, collected concurrent grab and EWDI samples at eight sites to compare results obtained using different combinations of field sampling and laboratory analysis methods.
Study results determined that grab field sampling and TSS laboratory analysis results were biased substantially low compared to EWDI sampling and SSC laboratory analysis results, respectively. Differences in both field sampling and laboratory analysis methods caused grab and TSS methods to be biased substantially low. The difference in laboratory analysis methods was slightly greater than field sampling methods.
Sand-sized particles had a strong effect on the comparability of the field sampling and laboratory analysis methods. These results indicated that grab field sampling and TSS laboratory analysis methods fail to capture most of the sand being transported by the stream. The results indicate there is less of a difference among samples collected with grab field sampling and analyzed for TSS and concentration of fines in SSC. Even though differences are present, the presence of strong correlations between SSC and TSS concentrations provides the opportunity to develop site specific relations to address transport processes not captured by grab field sampling and TSS laboratory analysis methods.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185023","collaboration":"Prepared in collaboration with the Minnesota Pollution Control Agency, Clean Water Fund","usgsCitation":"Groten, J.T., and Johnson, G.D., 2018, Comparability of river suspended-sediment sampling and laboratory analysis methods: U.S. Geological Survey Scientific Investigations Report 2018–5023, 23 p., https://doi.org/10.3133/sir20185023.","productDescription":"Report: vi, 21 p.; Appendix","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-088277","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":352247,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5023/sir20185023_appendix.zip","text":"Appendix","size":"3.43 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2018–5023 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\"}}]}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
Wisconsin and natural resources go hand-in-hand. Tourism, which generates $19 billion annually and sustains about 200,000 jobs, depends on an abundance of lakes, rivers, shorelines, and woodlands for fishing, hunting, boating, and other outdoor recreation. Rivers and floodplains in the Upper Mississippi Basin, including the Mississippi River, are part of a five-State corridor that generates more than $300 billion annually and sustains millions of manufacturing, tourism, transportation, and agricultural jobs. Wisconsin also is a Great Lakes State with more than 800 miles of shoreline, and the fisheries of lakes Superior and Michigan deliver $185 million annually and provide thousands of jobs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183004","usgsCitation":"U.S. Geological Survey, 2018, Biological and ecological science for Wisconsin—A Great Lakes and Rivers State: U.S. Geological Survey Fact Sheet 2018-3004, 2. p., https://doi.org/10.3133/fs20183004.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-091845","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":352236,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3004/coverthb.jpg"},{"id":352237,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3004/fs20183004.pdf","text":"Report","size":"827 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3004"}],"country":"United 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http://www.usgs.gov/ask/
1-800-ASK-USGS (1-800-275-8747)
The U.S. Geological Survey in collaboration with the U.S. Fish and Wildlife Service and others have published reports with information about geographic distribution, specific pathogens, disease ecology, and strategies to avoid exposure and infection for a selection of zoonotic diseases. Zoonotic diseases are diseases that can be passed from animals to humans, such as rabies and plague. This summary factsheet highlights the reports on plague, bat rabies, and raccoon roundworm with links to all seven zoonotic diseases covered in this series.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173077","usgsCitation":"Meteyer, C.U., and Rogall, G.M., 2018, Information to prevent human exposure to disease agents associated with wildlife—U.S. Geological Survey circulars on zoonotic disease: U.S. Geological Survey Fact Sheet 2017–3077, 4 p., https://doi.org/10.3133/fs20173077.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087118","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":352141,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3077/coverthb2.jpg"},{"id":352142,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3077/fs20173077.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3077"}],"contact":"Director, National Wildlife Health Center
U.S. Geological Survey
6006 Schroeder Road
Madison, WI 53711
The U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, analyzed groundwater levels, drilling record logs, and field water-quality data from selected wells, and the surficial geology in the Hoosic River valley south of the village of Hoosick Falls, New York, to provide information about the framework and properties of a confined aquifer. The aquifer, which consists of ice-contact sand and gravel overlain by lacustrine clay and silt, was evaluated by the New York State Department of Environmental Conservation as part of their investigation of alternate water supplies for the village whose wellfield has been affected by perfluorooctanoic acid. Wells inventoried in the study area were classified as confined, water table, or transitional between the two aquifer conditions. Groundwater levels in three confined-aquifer wells and a transitional-aquifer well responded to pumping of a test production well finished in the confined aquifer. Groundwater levels in a water-table well showed no detectable water-level change in response to test-well pumping. Analysis of drawdown and recovery data from the three confined-aquifer wells and a transitional-aquifer well through the application of the Theis type-curve method provided estimates of aquifer properties. Representation of a constant-head boundary in the analysis where an unnamed pond and fluvial-terrace deposits abut the valley wall resulted in satisfactory matches of the Theis type curves with the observed water-level responses. Aquifer transmissivity estimates ranged from 1,160 to 1,370 feet squared per day. Aquifer storativity estimates ranged from 5.2×10–5 to 1.1×10–3 and were consistent with the inferred degree of confinement and distance from the represented recharge boundary.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181015","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Williams, J.H., and Heisig, P.M., 2018, Groundwater-level analysis of selected wells in the Hoosic River Valley near Hoosick Falls, New York, for aquifer framework and properties: U.S. Geological Survey Open-File Report 2018–1015, 14 p., https://doi.org/10.3133/ofr20181015. ","productDescription":"v, 14 p.","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-092144","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":352081,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1015/ofr20181015.pdf","text":"Report","size":"741 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2018-1015"},{"id":352080,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1015/coverthb.jpg"}],"country":"United States","state":"New York","city":"Hoosick Falls","otherGeospatial":"Hoosic River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.37021827697754,\n 42.870680346240626\n ],\n [\n -73.3417224884033,\n 42.870680346240626\n ],\n [\n -73.3417224884033,\n 42.88961171193983\n ],\n [\n -73.37021827697754,\n 42.88961171193983\n ],\n [\n -73.37021827697754,\n 42.870680346240626\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Human actions, including nutrient pollution, are causing the widespread degradation of coastal habitats, and efforts to restore these valuable ecosystems have been largely unsuccessful or of limited scope. We provide an example of successful restoration linking effective management of nutrients to the successful recovery of submersed aquatic vegetation along thousands of kilometers of coastline in Chesapeake Bay, United States. We also show that biodiversity conservation can be an effective path toward recovery of coastal systems. Our study validates 30 years of environmental policy and provides a road map for future ecological restoration.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1715798115","usgsCitation":"Lefcheck, J., Orth, R.J., Dennison, W., Wilcox, D.J., Murphy, R.R., Keisman, J.L., Gurbisz, C., Hannam, M.P., Landry, J.B., Moore, K.A., Patrick, C.J., Testa, J., Weller, D.E., and Batiuk, R., 2018, Long-term nutrient reductions lead to the unprecedented recovery of a temperate coastal region: PNAS, v. 115, no. 14, p. 3658-3662, https://doi.org/10.1073/pnas.1715798115.","productDescription":"5 p.","startPage":"3658","endPage":"3662","ipdsId":"IP-093374","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":468933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1715798115","text":"Publisher Index Page"},{"id":395541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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J.","contributorId":140562,"corporation":false,"usgs":false,"family":"Orth","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":833351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dennison, William C.","contributorId":248356,"corporation":false,"usgs":false,"family":"Dennison","given":"William C.","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":833352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilcox, Dave J","contributorId":274826,"corporation":false,"usgs":false,"family":"Wilcox","given":"Dave","email":"","middleInitial":"J","affiliations":[{"id":36356,"text":"Virginia Institute of Marine Science, College of William & Mary","active":true,"usgs":false}],"preferred":false,"id":833353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, Rebecca 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Brooke","contributorId":199776,"corporation":false,"usgs":false,"family":"Landry","given":"J.","email":"","middleInitial":"Brooke","affiliations":[],"preferred":false,"id":833358,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moore, Kenneth A.","contributorId":140569,"corporation":false,"usgs":false,"family":"Moore","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":833359,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Patrick, Christopher J.","contributorId":199778,"corporation":false,"usgs":false,"family":"Patrick","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":833360,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Testa, Jeremy","contributorId":199779,"corporation":false,"usgs":false,"family":"Testa","given":"Jeremy","affiliations":[],"preferred":false,"id":833361,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weller, Donald E.","contributorId":206834,"corporation":false,"usgs":false,"family":"Weller","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":833362,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Batiuk, Richard A.","contributorId":244451,"corporation":false,"usgs":false,"family":"Batiuk","given":"Richard A.","affiliations":[{"id":48913,"text":"CoastWise Partners","active":true,"usgs":false}],"preferred":false,"id":833363,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70203294,"text":"70203294 - 2018 - Seismicity induced by wastewater injection in Washington County, Ohio: Influence of preexisting structure, regional stress regime, and well operations","interactions":[],"lastModifiedDate":"2019-05-02T06:48:40","indexId":"70203294","displayToPublicDate":"2018-03-05T06:41:30","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Seismicity induced by wastewater injection in Washington County, Ohio: Influence of preexisting structure, regional stress regime, and well operations","docAbstract":"Recent seismicity in Washington County, Ohio, has been suggested to be induced by wastewater disposal operations despite injection ~2 km above the Precambrian basement. We investigated the relationships between disposal well locations and operational histories, spatiotemporal patterns of seismicity enhanced by waveform correlation, and mapped subsurface structures. We also analyzed proxies for in situ stress conditions to evaluate existing principal stress orientations and magnitudes. Double‐difference relocations of small (ML ≤ 2.1) seismicity revealed linear clusters defining a NE‐SW orientation that parallels the trend of small‐amplitude folds in Upper Paleozoic rocks within 1–2 km of the injection well. Hypocenter depths of ~3.1 to 4.3 km indicate seismicity occurred along faults below the Silurian injection interval in lower Paleozoic strata and Precambrian crystalline basement. Similar folds/faults imaged in nearby seismic reflection lines were associated with basement‐involved fault systems that cut the injection interval targeted by the injection well, providing permeability pathways for fluid pressure increases that initiated slip. Interpreted faults were also optimally oriented in the regional stress field for reactivation due to injection‐related decreases in effective stress. Well completion records suggest that during the recorded seismicity, the Long Run‐1 well was injecting disposal fluids close to or above the fracture pressure of the targeted Silurian injection interval. A comparison of observed seismicity rates and monthly injection records from the disposal well also indicate a close correspondence between earthquake frequency and injection rate. Taken together, these results provide a physical framework for understanding why wastewater disposal operations induced the Washington County seismic sequence.
The interannual variability of tidal marsh plant phenology is largely unknown and may have important ecological consequences. Marsh plants are critical to the biogeomorphic feedback processes that build estuarine soils, maintain marsh elevation relative to sea level, and sequester carbon. We calculated Tasseled Cap Greenness, a metric of plant biomass, using remotely sensed data available in the Landsat archive to assess how recent climate variation has affected biomass production and plant phenology across three maritime tidal marshes in the Pacific Northwest of the United States. First, we used clipped vegetation plots at one of our sites to confirm that tasseled cap greenness provided a useful measure of aboveground biomass (r2 = 0.72). We then used multiple measures of biomass each growing season over 20–25 years per study site and developed models to test how peak biomass and the date of peak biomass varied with 94 climate and sea-level metrics using generalized linear models and Akaike Information Criterion (AIC) model selection. Peak biomass was positively related to total annual precipitation, while the best predictor for date of peak biomass was average growing season temperature, with the peak 7.2 days earlier per degree C. Our study provides insight into how plants in maritime tidal marshes respond to interannual climate variation and demonstrates the utility of time-series remote sensing data to assess ecological responses to climate stressors.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2018.01.006","usgsCitation":"Buffington, K., Dugger, B.D., and Thorne, K., 2018, Climate-related variation in plant peak biomass and growth phenology across Pacific Northwest tidal marshes: Estuarine, Coastal and Shelf Science, v. 202, p. 212-221, https://doi.org/10.1016/j.ecss.2018.01.006.","productDescription":"10 p.","startPage":"212","endPage":"221","ipdsId":"IP-093014","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437990,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7F18XZR","text":"USGS data release","linkHelpText":"Data for climate-related variation in plant peak biomass and growth phenology across Pacific Northwest tidal marshes"},{"id":353900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.8486328125,\n 43.068887774169625\n ],\n [\n -122.51953124999999,\n 43.068887774169625\n ],\n [\n -122.51953124999999,\n 47.18971246448421\n ],\n [\n -124.8486328125,\n 47.18971246448421\n ],\n [\n -124.8486328125,\n 43.068887774169625\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"202","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee70de4b0da30c1bfc084","contributors":{"authors":[{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":734453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Bruce D.","contributorId":176167,"corporation":false,"usgs":false,"family":"Dugger","given":"Bruce","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":734454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":734452,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193917,"text":"sir20175139 - 2018 - Collection methods and quality assessment for Escherichia coli, water quality, and microbial source tracking data within Tumacácori National Historical Park and the upper Santa Cruz River, Arizona, 2015-16","interactions":[],"lastModifiedDate":"2018-07-23T08:55:22","indexId":"sir20175139","displayToPublicDate":"2018-03-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5139","title":"Collection methods and quality assessment for Escherichia coli, water quality, and microbial source tracking data within Tumacácori National Historical Park and the upper Santa Cruz River, Arizona, 2015-16","docAbstract":"Director,
Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
Performance assessment of ocean color satellite data has generally relied on statistical metrics chosen for their common usage and the rationale for selecting certain metrics is infrequently explained. Commonly reported statistics based on mean squared errors, such as the coefficient of determination (r2), root mean square error, and regression slopes, are most appropriate for Gaussian distributions without outliers and, therefore, are often not ideal for ocean color algorithm performance assessment, which is often limited by sample availability. In contrast, metrics based on simple deviations, such as bias and mean absolute error, as well as pair-wise comparisons, often provide more robust and straightforward quantities for evaluating ocean color algorithms with non-Gaussian distributions and outliers. This study uses a SeaWiFS chlorophyll-a validation data set to demonstrate a framework for satellite data product assessment and recommends a multi-metric and user-dependent approach that can be applied within science, modeling, and resource management communities.
","language":"English","publisher":"Optica Publishing Group","doi":"10.1364/OE.26.007404","usgsCitation":"Seegers, B.N., Stumpf, R., Schaeffer, B., Loftin, K.A., and Werdell, P., 2018, Performance metrics for the assessment of satellite data products: An ocean color case study: Optics Express, v. 26, no. 6, p. 7404-7422, https://doi.org/10.1364/OE.26.007404.","productDescription":"19 p.","startPage":"7404","endPage":"7422","ipdsId":"IP-093210","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":488729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1364/oe.26.007404","text":"Publisher Index Page"},{"id":483985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"6","noUsgsAuthors":false,"publicationDate":"2018-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Seegers, Bridget N.","contributorId":334288,"corporation":false,"usgs":false,"family":"Seegers","given":"Bridget","email":"","middleInitial":"N.","affiliations":[{"id":80107,"text":"Morgan State University, National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":932328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stumpf, Richard P.","contributorId":193799,"corporation":false,"usgs":false,"family":"Stumpf","given":"Richard P.","affiliations":[],"preferred":false,"id":932329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaeffer, Blake A.","contributorId":334287,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake A.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":932330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":932331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Werdell, P. Jeremy","contributorId":269868,"corporation":false,"usgs":false,"family":"Werdell","given":"P. Jeremy","affiliations":[{"id":37453,"text":"National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":932332,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195786,"text":"70195786 - 2018 - Thermal influences on spontaneous rock dome exfoliation","interactions":[],"lastModifiedDate":"2018-03-02T11:17:44","indexId":"70195786","displayToPublicDate":"2018-03-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Thermal influences on spontaneous rock dome exfoliation","docAbstract":"Rock domes, with their onion-skin layers of exfoliation sheets, are among the most captivating landforms on Earth. Long recognized as integral in shaping domes, the exact mechanism(s) by which exfoliation occurs remains enigmatic, mainly due to the lack of direct observations of natural events. In August 2014, during the hottest days of summer, a granitic dome in California, USA, spontaneously exfoliated; witnesses observed extensive cracking, including a ~8000 kg sheet popping into the air. Subsequent exfoliation episodes during the following two summers were recorded by instrumentation that captured—for the first time—exfoliation deformation and stress conditions. Here we show that thermal cycling and cumulative dome surface heating can induce subcritical cracking that culminates in seemingly spontaneous exfoliation. Our results indicate that thermal stresses—largely discounted in dome formation literature—can play a key role in triggering exfoliation and therefore may be an important control for shaping domes worldwide.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-017-02728-1","usgsCitation":"Collins, B.D., Stock, G.M., Eppes, M., Lewis, S.W., Corbett, S.C., and Smith, J.B., 2018, Thermal influences on spontaneous rock dome exfoliation: Nature Communications, v. 9, p. 1-12, https://doi.org/10.1038/s41467-017-02728-1.","productDescription":"Article 762; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-087755","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-017-02728-1","text":"Publisher Index Page"},{"id":352177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-22","publicationStatus":"PW","scienceBaseUri":"5afee70ee4b0da30c1bfc08a","contributors":{"authors":[{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":729957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stock, Greg M.","contributorId":202873,"corporation":false,"usgs":false,"family":"Stock","given":"Greg","email":"","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":729958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eppes, Martha C.","contributorId":202874,"corporation":false,"usgs":false,"family":"Eppes","given":"Martha C.","affiliations":[{"id":36544,"text":"Univ. of North Carolina, Charlotte","active":true,"usgs":false}],"preferred":false,"id":729959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Scott W.","contributorId":202880,"corporation":false,"usgs":false,"family":"Lewis","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":729960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corbett, Skye C. 0000-0003-3277-1021 scorbett@usgs.gov","orcid":"https://orcid.org/0000-0003-3277-1021","contributorId":200617,"corporation":false,"usgs":true,"family":"Corbett","given":"Skye","email":"scorbett@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":729961,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729962,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198052,"text":"70198052 - 2018 - Infectious canine hepatitis in a brown bear (Ursus arctos horribilis) from Alaska.","interactions":[],"lastModifiedDate":"2018-07-12T22:59:20","indexId":"70198052","displayToPublicDate":"2018-03-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Infectious canine hepatitis in a brown bear (Ursus arctos horribilis) from Alaska","title":"Infectious canine hepatitis in a brown bear (Ursus arctos horribilis) from Alaska.","docAbstract":"We diagnosed infectious canine hepatitis in a free-ranging brown bear (Ursus arctos horribilis) cub from Alaska, US, found dead in October 2015. Intranuclear inclusion bodies were present in hepatocytes, and immunohistochemistry showed reactivity to adenoviral antigens. Sequencing of the hexon protein of adenovirus showed 100% identity to canine adenovirus 1.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-10-245","usgsCitation":"Knowles, S., Bodenstein, B., Hamon, T., Saxton, M.W., and Hall, J.S., 2018, Infectious canine hepatitis in a brown bear (Ursus arctos horribilis) from Alaska.: Journal of Wildlife Diseases, v. 54, no. 3, p. 642-645, https://doi.org/10.7589/2017-10-245.","productDescription":"4 p.","startPage":"642","endPage":"645","ipdsId":"IP-091118","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":355624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e5ade4b060350a15d1fc","contributors":{"authors":[{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":739783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodenstein, Barbara L. 0000-0001-7946-0103 bbodenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":189820,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara","email":"bbodenstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":739784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hamon, Troy","contributorId":206204,"corporation":false,"usgs":false,"family":"Hamon","given":"Troy","affiliations":[{"id":37282,"text":"Katmai National Park and Preserve, P.O. Box 7, King Salmon, Alaska, 99613, USA;","active":true,"usgs":false}],"preferred":false,"id":739786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saxton, Michael W.","contributorId":206205,"corporation":false,"usgs":false,"family":"Saxton","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":37283,"text":"Katmai National Park and Preserve, P.O. Box 7, King Salmon, Alaska, 99613, USA; 3 School of Biological Sciences, Washington State University, Pullman, WA 99164, USA","active":true,"usgs":false}],"preferred":false,"id":739787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":739785,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195813,"text":"70195813 - 2018 - Modeling intrinsic potential for beaver (Castor canadensis) habitat to inform restoration and climate change adaptation","interactions":[],"lastModifiedDate":"2018-03-02T16:06:47","indexId":"70195813","displayToPublicDate":"2018-03-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Modeling intrinsic potential for beaver (Castor canadensis) habitat to inform restoration and climate change adaptation","title":"Modeling intrinsic potential for beaver (Castor canadensis) habitat to inform restoration and climate change adaptation","docAbstract":"Through their dam-building activities and subsequent water storage, beaver have the potential to restore riparian ecosystems and offset some of the predicted effects of climate change by modulating streamflow. Thus, it is not surprising that reintroducing beaver to watersheds from which they have been extirpated is an often-used restoration and climate-adaptation strategy. Identifying sites for reintroduction, however, requires detailed information about habitat factors—information that is not often available at broad spatial scales. Here we explore the potential for beaver relocation throughout the Snohomish River Basin in Washington, USA with a model that identifies some of the basic building blocks of beaver habitat suitability and does so by relying solely on remotely sensed data. More specifically, we developed a generalized intrinsic potential model that draws on remotely sensed measures of stream gradient, stream width, and valley width to identify where beaver could become established if suitable vegetation were to be present. Thus, the model serves as a preliminary screening tool that can be applied over relatively large extents. We applied the model to 5,019 stream km and assessed the ability of the model to correctly predict beaver habitat by surveying for beavers in 352 stream reaches. To further assess the potential for relocation, we assessed land ownership, use, and land cover in the landscape surrounding stream reaches with varying levels of intrinsic potential. Model results showed that 33% of streams had moderate or high intrinsic potential for beaver habitat. We found that no site that was classified as having low intrinsic potential had any sign of beavers and that beaver were absent from nearly three quarters of potentially suitable sites, indicating that there are factors preventing the local population from occupying these areas. Of the riparian areas around streams with high intrinsic potential for beaver, 38% are on public lands and 17% are on large tracts of privately-owned timber land. Thus, although there are a large number of areas that could be suitable for relocation and restoration using beavers, current land use patterns may substantially limit feasibility in these areas.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0192538","usgsCitation":"Dittbrenner, B.J., Pollack, M.M., Schilling, J.W., Olden, J., Lawler, J.J., and Torgersen, C.E., 2018, Modeling intrinsic potential for beaver (Castor canadensis) habitat to inform restoration and climate change adaptation: PLoS ONE, v. 13, no. 2, e0192538; 15 p., https://doi.org/10.1371/journal.pone.0192538.","productDescription":"e0192538; 15 p.","ipdsId":"IP-093284","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0192538","text":"Publisher Index Page"},{"id":352193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Snohomish River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.37945556640624,\n 47.372314620566925\n ],\n [\n -120.9979248046875,\n 47.372314620566925\n ],\n [\n -120.9979248046875,\n 48.08908799881762\n ],\n [\n -122.37945556640624,\n 48.08908799881762\n ],\n [\n -122.37945556640624,\n 47.372314620566925\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-28","publicationStatus":"PW","scienceBaseUri":"5afee70ee4b0da30c1bfc088","contributors":{"authors":[{"text":"Dittbrenner, Benjamin J.","contributorId":202890,"corporation":false,"usgs":false,"family":"Dittbrenner","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":730022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollack, Michael M.","contributorId":202891,"corporation":false,"usgs":false,"family":"Pollack","given":"Michael","email":"","middleInitial":"M.","affiliations":[{"id":36546,"text":"National Oceanic and Atmospheric Administration – Northwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":730023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schilling, Jason W.","contributorId":202892,"corporation":false,"usgs":false,"family":"Schilling","given":"Jason","email":"","middleInitial":"W.","affiliations":[{"id":36547,"text":"Tulalip Tribes Natural Resources","active":true,"usgs":false}],"preferred":false,"id":730024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olden, Julian D.","contributorId":202893,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":730025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":730026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":730021,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202334,"text":"70202334 - 2018 - Volcanic ash deposition, eelgrass beds, and inshore habitat loss from the 1920s to the 1990s at Chignik, Alaska","interactions":[],"lastModifiedDate":"2019-02-22T16:48:55","indexId":"70202334","displayToPublicDate":"2018-03-01T16:48:50","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic ash deposition, eelgrass beds, and inshore habitat loss from the 1920s to the 1990s at Chignik, Alaska","docAbstract":"We quantified the shallowing of the seafloor in five of six bays examined in the Chignik region of the Alaska Peninsula, confirming National Ocean Service observations that 1990s hydrographic surveys were shallower than previous surveys from the 1920s. Castle Bay, Chignik Lagoon, Hook Bay, Kujulik Bay and Mud Bay lost volume as calculated from Mean Lower Low Water (Chart Datum) to the deepest depths and four of these sites lost volume from Mean High Water to the deepest depths. Calculations relative to each datum were made because tidal datum records exhibited an increase in tidal range in this region from the 1920s to the 1990s. Our analysis showed that Mud Bay is quickly disappearing while Chignik Lagoon is being reduced to narrow channels. Anchorage Bay was the only site that increased in depth over time, perhaps due to erosion. Volcanoes dominate the landscape of the Chignik area. They have blanketed the region in deep ash deposits before the time frame of this study, and some have had smaller ash-producing eruptions during the time frame of this study. Remobilization of land-deposited ash and redeposition in marine areas - in some locations facilitated by extensive eelgrass (Zostera marina) beds (covering 54% of Chignik Lagoon and 68% of Mud Bay in 2010) - is the most likely cause of shallowing in the marine environment. Loss of shallow water marine habitat may alter future abundance and distribution of several fish, invertebrate and avian species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2017.12.001","usgsCitation":"Zimmermann, M., Ruggerone, G.T., Freymueller, J., Kinsman, N., Ward, D.H., and Hogrefe, K.R., 2018, Volcanic ash deposition, eelgrass beds, and inshore habitat loss from the 1920s to the 1990s at Chignik, Alaska: Estuarine, Coastal and Shelf Science, v. 202, p. 69-86, https://doi.org/10.1016/j.ecss.2017.12.001.","productDescription":"18 p.","startPage":"69","endPage":"86","ipdsId":"IP-088301","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468937,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2017.12.001","text":"Publisher Index Page"},{"id":437991,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VQ31X8","text":"USGS data release","linkHelpText":"Map of eelgrass distribution and field survey points in Chignik Lagoon and Mud Bay, Alaska in 2010"},{"id":361480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Chignik","volume":"202","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmermann, Mark","contributorId":49479,"corporation":false,"usgs":true,"family":"Zimmermann","given":"Mark","affiliations":[],"preferred":false,"id":757875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruggerone, Gregory T.","contributorId":48068,"corporation":false,"usgs":true,"family":"Ruggerone","given":"Gregory","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":757876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freymueller, Jeffrey T.","contributorId":96841,"corporation":false,"usgs":false,"family":"Freymueller","given":"Jeffrey T.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":757877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinsman, Nicole","contributorId":95737,"corporation":false,"usgs":true,"family":"Kinsman","given":"Nicole","affiliations":[],"preferred":false,"id":757878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":757874,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hogrefe, Kyle R. khogrefe@usgs.gov","contributorId":4264,"corporation":false,"usgs":true,"family":"Hogrefe","given":"Kyle","email":"khogrefe@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":757879,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196286,"text":"70196286 - 2018 - Volcanic history of the northernmost part of the Harrat Rahat volcanic field, Saudi Arabia","interactions":[],"lastModifiedDate":"2018-08-03T16:48:02","indexId":"70196286","displayToPublicDate":"2018-03-01T16:47:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic history of the northernmost part of the Harrat Rahat volcanic field, Saudi Arabia","docAbstract":"We present a detailed geologic investigation of Pleistocene to Holocene mafic volcanism within the northernmost part of the Harrat Rahat volcanic field, proximal to the city of Al-Madinah, Saudi Arabia. Our study area covers ∼570 km2, and encompasses lava flows, scoria cones, and shield volcanoes of 32 mapped eruptive units consisting of continental, intraplate alkalic and tholeiitic basalts, hawaiites, and a mugearite that erupted from at least 1014 ± 14 ka to a single Holocene event at 1256 A.D. Typical lava flows are roughly 10–15 km long, although they reach nearly 23 km, 1–3 km wide, and ∼10 m thick. The majority of eruptives in our study area erupted ca. 400–340 ka and ca. 180–100 ka. Despite small individual volumes (<1 km3 dense rock equivalent), each unit resulted from eruption of a distinct magma batch that was influenced by clinopyroxene, olivine, and plagioclase fractionation. Some of these units are interpreted to have undergone magma mixing prior to eruption. Combining our age determinations, geochemistry, and paleomagnetic data sets indicates that several eruptions were temporally and/or spatially clustered. Aligned scoria cones and elongate vent edifices were constructed atop fissure vent systems that reflect the stress field controlling dike ascent through the middle to upper crust.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01625.1","usgsCitation":"Downs, D.T., Stelten, M.E., Champion, D.E., Dietterich, H.R., Nawab, Z., Zahran, H.M., Hassan, K., and Shawali, J., 2018, Volcanic history of the northernmost part of the Harrat Rahat volcanic field, Saudi Arabia: Geosphere, v. 14, no. 3, p. 1253-1282, https://doi.org/10.1130/GES01625.1.","productDescription":"30 p.","startPage":"1253","endPage":"1282","ipdsId":"IP-087534","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468938,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01625.1","text":"Publisher Index Page"},{"id":356165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saudi Arabia","volume":"14","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-29","publicationStatus":"PW","scienceBaseUri":"5b6fc483e4b0f5d57878ea96","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":732137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":732138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":732139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343 hdietterich@usgs.gov","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":194354,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah","email":"hdietterich@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":732140,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nawab, Zohair","contributorId":203710,"corporation":false,"usgs":false,"family":"Nawab","given":"Zohair","email":"","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":false,"id":732143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zahran, Hani M. 0000-0002-0029-3822","orcid":"https://orcid.org/0000-0002-0029-3822","contributorId":203711,"corporation":false,"usgs":false,"family":"Zahran","given":"Hani","email":"","middleInitial":"M.","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":true,"id":732144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hassan, Khalid","contributorId":203708,"corporation":false,"usgs":false,"family":"Hassan","given":"Khalid","email":"","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":false,"id":732141,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shawali, Jamal","contributorId":203709,"corporation":false,"usgs":false,"family":"Shawali","given":"Jamal","email":"","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":false,"id":732142,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70201617,"text":"70201617 - 2018 - Carbon budget of tidal wetlands, estuaries, and shelf waters of eastern North America","interactions":[],"lastModifiedDate":"2018-12-18T15:53:14","indexId":"70201617","displayToPublicDate":"2018-03-01T15:53:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Carbon budget of tidal wetlands, estuaries, and shelf waters of eastern North America","docAbstract":"Carbon cycling in the coastal zone affects global carbon budgets and is critical for understanding the urgent issues of hypoxia, acidification, and tidal wetland loss. However, there are no regional carbon budgets spanning the three main ecosystems in coastal waters: tidal wetlands, estuaries, and shelf waters. Here we construct such a budget for eastern North America using historical data, empirical models, remote sensing algorithms, and process‐based models. Considering the net fluxes of total carbon at the domain boundaries, 59 ± 12% (± 2 standard errors) of the carbon entering is from rivers and 41 ± 12% is from the atmosphere, while 80 ± 9% of the carbon leaving is exported to the open ocean and 20 ± 9% is buried. Net lateral carbon transfers between the three main ecosystem types are comparable to fluxes at the domain boundaries. Each ecosystem type contributes substantially to exchange with the atmosphere, with CO2uptake split evenly between tidal wetlands and shelf waters, and estuarine CO2outgassing offsetting half of the uptake. Similarly, burial is about equal in tidal wetlands and shelf waters, while estuaries play a smaller but still substantial role. The importance of tidal wetlands and estuaries in the overall budget is remarkable given that they, respectively, make up only 2.4 and 8.9% of the study domain area. This study shows that coastal carbon budgets should explicitly include tidal wetlands, estuaries, shelf waters, and the linkages between them; ignoring any of them may produce a biased picture of coastal carbon cycling.
","language":"English","publisher":"AGU","doi":"10.1002/2017GB005790","usgsCitation":"Najjar, R., Herrmann, M., Alexander, R.B., Boyer, E., Burdige, D., Butman, D., Cai, W., Canuel, E., Chen, R., Friedrichs, M.A., Feagin, R., Griffith, P.C., Hinson, A., Holmquist, J., Hu, X., Kemp, W., Kroeger, K.D., Mannino, A., McCallister, S., McGillis, W., Mulholland, M., Pilskaln, C.H., Salisbury, J., Signorini, S., St. Laurent, P., Tian, H., Tzortziou, M., Vlahos, P., Wan, Z., and Zimmerman, R.C., 2018, Carbon budget of tidal wetlands, estuaries, and shelf waters of eastern North America: Global Biogeochemical Cycles, v. 32, no. 3, p. 389-416, https://doi.org/10.1002/2017GB005790.","productDescription":"28 p.","startPage":"389","endPage":"416","ipdsId":"IP-092980","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468939,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017gb005790","text":"External Repository"},{"id":360518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"32","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-11","publicationStatus":"PW","scienceBaseUri":"5c1a1534e4b0708288c23542","contributors":{"authors":[{"text":"Najjar, R.G.","contributorId":211647,"corporation":false,"usgs":false,"family":"Najjar","given":"R.G.","affiliations":[{"id":38295,"text":"Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, USA.","active":true,"usgs":false}],"preferred":false,"id":754585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrmann, M.","contributorId":211648,"corporation":false,"usgs":false,"family":"Herrmann","given":"M.","email":"","affiliations":[{"id":38295,"text":"Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, USA.","active":true,"usgs":false}],"preferred":false,"id":754586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":754587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, E.W.","contributorId":56358,"corporation":false,"usgs":false,"family":"Boyer","given":"E.W.","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":754588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burdige, D. 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Stream habitat and fish population characteristics, including biomass, abundance, growth, size, and movement, were assessed over a 9-year period (4 years pre- and 5 years postlogging). The logged catchment was located on private industrial forestland and had been previously logged in 1966. The reference catchment was covered by an unharvested, fire-regenerated forest approximately 150–160 years old, which was unroaded and managed as a Research Natural Area by the USDA Forest Service. A single clearcut harvest unit of the upper 40% of the treatment catchment was implemented following current forest practice regulations, including the retention of riparian buffer of standing trees adjacent to fish bearing channels. No statistically significant negative effects on coastal cutthroat trout or coho salmon occurred following logging, and in fact, both late-summer density and total biomass of age-1+ coastal cutthroat trout increased in the logged catchment following logging. Increases in age-1+ coastal cutthroat were greatest closest to the harvest area and declined downstream as distance from the logged area increased. In contrast to the previous timber harvest in the catchment when few logging regulations existed, current forest practice regulations and logging techniques appear to have reduced acute negative effects on coastal cutthroat trout.
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