We used spatially continuous field-measured and remotely-sensed aquatic habitat characteristics paired with weekly ground-based telemetry tracking and snorkel surveys to describe movements and habitat occupancy of adult rainbow trout (N = 82) in a runoff-fed, salmon-influenced southcentral Alaska river system. We found that during the ice-free feeding season (June through September) rainbow trout occurrence was associated more with fine-scale (channel unit) characteristics relative to coarse-scale (stream reach) variables. The presence of Pacific salmon (which provide an important seasonal food subsidy), and habitat size were particularly useful predictors. Weekly movement distance differed between pre- and post- spawning salmon arrival, but did not vary by sex. Habitat quality, season, and the arrival of spawning salmon influenced the likelihood of rainbow trout movement, and fish moved farther to seek out higher quality habitats. Because rainbow trout respond to habitat factors at multiple scales and seek out salmon-derived subsidies, it will be important to take a multiscale approach in protecting trout and salmon populations and managing the associated fisheries.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0459","usgsCitation":"Fraley, K.M., Falke, J.A., McPhee, M.V., and Prakash, A., 2018, Rainbow trout movement behavior and habitat occupancy are influenced by sex and Pacific salmon presence in an Alaska river system: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 4, p. 525-537, https://doi.org/10.1139/cjfas-2016-0459.","productDescription":"13 p.","startPage":"525","endPage":"537","ipdsId":"IP-080331","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c5e4b09af898c860da","contributors":{"authors":[{"text":"Fraley, Kevin M.","contributorId":189243,"corporation":false,"usgs":false,"family":"Fraley","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":716438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPhee, Megan V.","contributorId":149335,"corporation":false,"usgs":false,"family":"McPhee","given":"Megan","email":"","middleInitial":"V.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":716439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prakash, Anupma","contributorId":189216,"corporation":false,"usgs":false,"family":"Prakash","given":"Anupma","email":"","affiliations":[{"id":13662,"text":"Geophysical Institute, University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":716440,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193901,"text":"70193901 - 2018 - Development of a dual luciferase activity and fluorescamine protein assay adapted to a 384 micro-well plate format: Reducing variability in human luciferase transactivation cell lines aimed at endocrine active substances","interactions":[],"lastModifiedDate":"2017-11-09T10:37:03","indexId":"70193901","displayToPublicDate":"2017-11-09T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5545,"text":"Toxicology in Vitro","active":true,"publicationSubtype":{"id":10}},"title":"Development of a dual luciferase activity and fluorescamine protein assay adapted to a 384 micro-well plate format: Reducing variability in human luciferase transactivation cell lines aimed at endocrine active substances","docAbstract":"There is a need to adapt cell bioassays to 384-well and 1536-well formats instead of the traditional 96-well format as high-throughput screening (HTS) demands increase. However, the sensitivity and performance of the bioassay must be re-verified in these higher micro-well plates, and verification of cell health must also be HT (high-throughput). We have adapted two commonly used human breast luciferase transactivation cell bioassays, the recently re-named estrogen agonist/antagonist screening VM7Luc4E2 cell bioassay (previously designated BG1Luc4E2) and the androgen/glucocorticoid screening MDA-kb2 cell bioassay, to 384-well formats for HTS of endocrine-active substances (EASs). This cost-saving adaptation includes a fast, accurate, and easy measurement of protein amount in each well via the fluorescamine assay with which to normalize luciferase activity of cell lysates without requiring any transfer of the cell lysates. Here we demonstrate that by accounting for protein amount in the cell lysates, antagonistic agents can easily be distinguished from cytotoxic agents in the MDA-kb2 and VM7Luc4E2 cell bioassays. Additionally, we demonstrate via the fluorescamine assay improved interpretation of luciferase activity in wells along the edge of the plate (the so-called “edge effect”), thereby increasing usable wells to the entire plate, not just interior wells.","language":"English","publisher":"Elsevier","doi":"10.1016/j.tiv.2017.10.030","usgsCitation":"Brennan, J., and Tillitt, D.E., 2018, Development of a dual luciferase activity and fluorescamine protein assay adapted to a 384 micro-well plate format: Reducing variability in human luciferase transactivation cell lines aimed at endocrine active substances: Toxicology in Vitro, v. 47, p. 18-25, https://doi.org/10.1016/j.tiv.2017.10.030.","productDescription":"8 p.","startPage":"18","endPage":"25","ipdsId":"IP-083355","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":469163,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tiv.2017.10.030","text":"Publisher Index Page"},{"id":438077,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DV1H2F","text":"USGS data release","linkHelpText":"Development of a dual luciferase-fluorescamine assay adapted to a 384 micro-well plate format-Data"},{"id":348530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a057718e4b09af898c70852","contributors":{"authors":[{"text":"Brennan, Jennifer 0000-0003-0386-3496 jcbrennan@usgs.gov","orcid":"https://orcid.org/0000-0003-0386-3496","contributorId":200181,"corporation":false,"usgs":true,"family":"Brennan","given":"Jennifer","email":"jcbrennan@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":721317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":721318,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198748,"text":"70198748 - 2018 - Fish Bioenergetics 4.0: An R-based modeling application","interactions":[],"lastModifiedDate":"2018-08-20T09:30:02","indexId":"70198748","displayToPublicDate":"2017-11-08T09:29:40","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Fish Bioenergetics 4.0: An R-based modeling application","docAbstract":"Bioenergetics modeling is a widely used tool in fisheries management and research. Although popular, currently available software (i.e., Fish Bioenergetics 3.0) has not been updated in over 20 years and is incompatible with newer operating systems (i.e., 64‐bit). Moreover, since the release of Fish Bioenergetics 3.0 in 1997, the number of published bioenergetics models has increased appreciably from 56 to 105 models representing 73 species. In this article, we provide an overview of Fish Bioenergetics 4.0 (FB4), a newly developed modeling application that consists of a graphical user interface (Shiny by RStudio) combined with a modeling package used in the R computing environment. While including the same capabilities as previous versions, Fish Bioenergetics 4.0 allows for timely updates and bug fixes and can be continuously improved based on feedback from users. In addition, users can add new or modified parameter sets for additional species and formulate and incorporate modifications such as habitat‐dependent functions (e.g., dissolved oxygen, salinity) that are not part of the default package. We hope that advances in the new modeling platform will attract a broad range of users while facilitating continued application of bioenergetics modeling to a wide spectrum of questions in fish biology, ecology, and management.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/03632415.2017.1377558","usgsCitation":"Deslauriers, D., Chipps, S.R., Breck, J.E., Rice, J., and Madenjian, C.P., 2018, Fish Bioenergetics 4.0: An R-based modeling application: Fisheries Magazine, v. 42, no. 11, p. 586-596, https://doi.org/10.1080/03632415.2017.1377558.","productDescription":"11 p.","startPage":"586","endPage":"596","ipdsId":"IP-088650","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488352,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/141352","text":"External Repository"},{"id":356613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-08","publicationStatus":"PW","scienceBaseUri":"5b98a327e4b0702d0e843034","contributors":{"authors":[{"text":"Deslauriers, David","contributorId":187586,"corporation":false,"usgs":false,"family":"Deslauriers","given":"David","email":"","affiliations":[],"preferred":false,"id":743033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":742842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breck, James E.","contributorId":171518,"corporation":false,"usgs":false,"family":"Breck","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, James A.","contributorId":176863,"corporation":false,"usgs":false,"family":"Rice","given":"James A.","affiliations":[],"preferred":false,"id":743035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":742843,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192867,"text":"70192867 - 2018 - Bipartite networks improve understanding of effects of waterbody size and angling method on angler–fish interactions","interactions":[],"lastModifiedDate":"2018-01-05T14:12:53","indexId":"70192867","displayToPublicDate":"2017-11-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Bipartite networks improve understanding of effects of waterbody size and angling method on angler–fish interactions","docAbstract":"Networks used to study interactions could provide insights to fisheries. We compiled data from 27 297 interviews of anglers across waterbodies that ranged in size from 1 to 12 113 ha. Catch rates of fish species among anglers grouped by species targeted generally differed between angling methods (bank or boat). We constructed angler–catch bipartite networks (angling method specific) between anglers and fish and measured several network metrics. There was considerable variation in networks among waterbodies, with multiple metrics influenced by waterbody size. Number of species-targeting angler groups and number of fish species caught increased with increasing waterbody size. Mean number of links for species-targeting angler groups and fish species caught also increased with waterbody size. Connectance (realized proportion of possible links) of angler–catch interaction networks decreased slower for boat anglers than for bank anglers with increasing waterbody size. Network specialization (deviation of number of interactions from expected) was not significantly related to waterbody size or angling methods. Application of bipartite networks in fishery science requires careful interpretation of outputs, especially considering the numerous confounding factors prevalent in recreational fisheries.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0176","usgsCitation":"Chizinski, C.J., Martin, D., Shizuka, D., and Pope, K.L., 2018, Bipartite networks improve understanding of effects of waterbody size and angling method on angler–fish interactions: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 1, p. 72-81, https://doi.org/10.1139/cjfas-2016-0176.","productDescription":"10 p.","startPage":"72","endPage":"81","ipdsId":"IP-075838","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469164,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2016-0176","text":"External Repository"},{"id":348428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b1e4b0dc0b45b45304","contributors":{"authors":[{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":721084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shizuka, Daizaburo","contributorId":62048,"corporation":false,"usgs":true,"family":"Shizuka","given":"Daizaburo","email":"","affiliations":[],"preferred":false,"id":721085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717245,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192742,"text":"70192742 - 2018 - Fuel-reduction management alters plant composition, carbon and nitrogen pools, and soil thaw in Alaskan boreal forest","interactions":[],"lastModifiedDate":"2018-01-05T14:11:52","indexId":"70192742","displayToPublicDate":"2017-11-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Fuel-reduction management alters plant composition, carbon and nitrogen pools, and soil thaw in Alaskan boreal forest","docAbstract":"Increasing wildfire activity in Alaska's boreal forests has led to greater fuel-reduction management. Management has been implemented to reduce wildfire spread, but the ecological impacts of these practices are poorly known. We quantified the effects of hand-thinning and shearblading on above- and belowground stand characteristics, plant species composition, carbon (C) and nitrogen (N) pools, and soil thaw across 19 black spruce (Picea mariana) dominated sites in interior Alaska treated 2-12 years prior to sampling. The density of deciduous tree seedlings was significantly higher in shearbladed areas compared to unmanaged forest (6.4 vs. 0.1 stems m−2), and unmanaged stands exhibited the highest mean density of conifer seedlings and layers (1.4 stems m−2). Understory plant community composition was most similar between unmanaged and thinned stands. Shearblading resulted in a near complete loss of aboveground tree biomass C pools while thinning approximately halved the C pool size (1.2 kg C m−2 compared to 3.1 kg C m−2 in unmanaged forest). Significantly smaller soil organic layer (SOL) C and N pools were observed in shearbladed stands (3.2 kg C m−2 and 116.8 g N m−2) relative to thinned (6.0 kg C m−2 and 192.2 g N m−2) and unmanaged (5.9 kg C m−2 and 178.7 g N m−2) stands. No difference in C and N pool sizes in the uppermost 10 cm of mineral soil was observed among stand types. Total C stocks for measured pools was 2.6 kg C m−2 smaller in thinned stands and 5.8 kg C m−2smaller in shearbladed stands when compared to unmanaged forest. Soil thaw depth averaged 13 cm deeper in thinned areas and 46 cm deeper in shearbladed areas relative to adjacent unmanaged stands, although variability was high across sites. Deeper soil thaw was linked to shallower SOL depth for unmanaged stands and both management types, however for any given SOL depth, thaw tended to be deeper in shearbladed areas compared to unmanaged forest. These findings indicate that fuel-reduction management alters plant community composition, C and N pools, and soil thaw depth, with consequences for ecosystem structure and function beyond those intended for fire management.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1636","usgsCitation":"Melvin, A.M., Celis, G., Johnstone, J.F., McGuire, A.D., Genet, H., Schuur, E.A., Rupp, T., and Mack, M., 2018, Fuel-reduction management alters plant composition, carbon and nitrogen pools, and soil thaw in Alaskan boreal forest: Ecological Applications, v. 28, no. 1, p. 149-161, https://doi.org/10.1002/eap.1636.","productDescription":"13 p.","startPage":"149","endPage":"161","ipdsId":"IP-084689","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150,\n 63.7\n ],\n [\n -144,\n 63.7\n ],\n [\n -144,\n 65\n ],\n [\n -150,\n 65\n ],\n [\n -150,\n 63.7\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-12","publicationStatus":"PW","scienceBaseUri":"5a0425b1e4b0dc0b45b4530a","contributors":{"authors":[{"text":"Melvin, April M.","contributorId":200151,"corporation":false,"usgs":false,"family":"Melvin","given":"April","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Celis, Gerardo","contributorId":200152,"corporation":false,"usgs":false,"family":"Celis","given":"Gerardo","email":"","affiliations":[],"preferred":false,"id":721149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnstone, Jill F.","contributorId":179336,"corporation":false,"usgs":false,"family":"Johnstone","given":"Jill","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":721150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Genet, Helene","contributorId":95370,"corporation":false,"usgs":true,"family":"Genet","given":"Helene","affiliations":[],"preferred":false,"id":721151,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schuur, Edward A.G.","contributorId":50026,"corporation":false,"usgs":true,"family":"Schuur","given":"Edward","email":"","middleInitial":"A.G.","affiliations":[],"preferred":false,"id":721152,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rupp, T. Scott","contributorId":21395,"corporation":false,"usgs":true,"family":"Rupp","given":"T. Scott","affiliations":[],"preferred":false,"id":721153,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mack, Michelle C.","contributorId":140367,"corporation":false,"usgs":false,"family":"Mack","given":"Michelle C.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":721154,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192784,"text":"70192784 - 2018 - Evaluating trade-offs in bull trout reintroduction strategies using structured decision making","interactions":[],"lastModifiedDate":"2018-02-05T15:34:49","indexId":"70192784","displayToPublicDate":"2017-11-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating trade-offs in bull trout reintroduction strategies using structured decision making","docAbstract":"Structured decision making allows reintroduction decisions to be made despite uncertainty by linking reintroduction goals with alternative management actions through predictive models of ecological processes. We developed a decision model to evaluate the trade-offs between six bull trout (Salvelinus confluentus) reintroduction decisions with the goal of maximizing the number of adults in the recipient population without reducing the donor population to an unacceptable level. Sensitivity analyses suggested that the decision identity and outcome were most influenced by survival parameters that result in increased adult abundance in the recipient population, increased juvenile survival in the donor and recipient populations, adult fecundity rates, and sex ratio. The decision was least sensitive to survival parameters associated with the captive-reared population, the effect of naivety on released individuals, and juvenile carrying capacity of the reintroduced population. The model and sensitivity analyses can serve as the foundation for formal adaptive management and improved effectiveness, efficiency, and transparency of bull trout reintroduction decisions.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0516","usgsCitation":"Brignon, W.R., Peterson, J., Dunham, J.B., Schaller, H.A., and Schreck, C.B., 2018, Evaluating trade-offs in bull trout reintroduction strategies using structured decision making: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 2, p. 293-307, https://doi.org/10.1139/cjfas-2016-0516.","productDescription":"15 p.","startPage":"293","endPage":"307","ipdsId":"IP-085432","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469165,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2016-0516","text":"External Repository"},{"id":348438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b1e4b0dc0b45b45308","contributors":{"authors":[{"text":"Brignon, William R.","contributorId":193087,"corporation":false,"usgs":false,"family":"Brignon","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":716924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaller, Howard A.","contributorId":195101,"corporation":false,"usgs":false,"family":"Schaller","given":"Howard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":716923,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192975,"text":"70192975 - 2018 - The effectiveness of surrogate taxa to conserve freshwater biodiversity","interactions":[],"lastModifiedDate":"2018-01-05T14:14:42","indexId":"70192975","displayToPublicDate":"2017-11-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"The effectiveness of surrogate taxa to conserve freshwater biodiversity","docAbstract":"Establishing protected areas has long been an effective conservation strategy, and is often based on more readily surveyed species. The potential of any freshwater taxa to be a surrogate of other aquatic groups has not been fully explored. We compiled occurrence data on 72 species of freshwater fish, amphibians, mussels, and aquatic reptiles for the Great Plains, Wyoming. We used hierarchical Bayesian multi-species mixture models and MaxEnt models to describe species distributions, and program Zonation to identify conservation priority areas for each aquatic group. The landscape-scale factors that best characterized aquatic species distributions differed among groups. There was low agreement and congruence among taxa-specific conservation priorities (<20%), meaning that no surrogate priority areas would include or protect the best habitats of other aquatic taxa. We found that common, wide-ranging aquatic species were included in taxa-specific priority areas, but rare freshwater species were not included. Thus, the development of conservation priorities based on a single freshwater aquatic group would not protect all species in the other aquatic groups.
","language":"English","publisher":"Wiley","doi":"10.1111/cobi.12967","usgsCitation":"Stewart, D., Underwood, Z.E., Rahel, F.J., and Walters, A.W., 2018, The effectiveness of surrogate taxa to conserve freshwater biodiversity: Conservation Biology, v. 32, no. 1, p. 183-194, https://doi.org/10.1111/cobi.12967.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-077166","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-14","publicationStatus":"PW","scienceBaseUri":"5a07e841e4b09af898c8cb1c","contributors":{"authors":[{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":720908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Underwood, Zachary E.","contributorId":166946,"corporation":false,"usgs":false,"family":"Underwood","given":"Zachary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rahel, Frank J.","contributorId":171824,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192871,"text":"70192871 - 2018 - The first hop: Use of Beaufort Sea deltas by hatch-year semipalmated sandpipers","interactions":[],"lastModifiedDate":"2018-01-05T14:13:37","indexId":"70192871","displayToPublicDate":"2017-11-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"The first hop: Use of Beaufort Sea deltas by hatch-year semipalmated sandpipers","docAbstract":"River deltas along Alaska’s Beaufort Sea coast are used by hatch-year semipalmated sandpipers (Calidris pusilla) after leaving their terrestrial natal sites, but the drivers of their use of these stopover sites on the first “hop” of fall migration are unknown. We quantified sandpiper temporal distribution and abundance as related to food resources at three river deltas during the beginning of their fall migration (post-breeding period) to compare the habitat quality among these deltas. We conducted population counts, sampled invertebrates, and captured birds to collect blood samples from individuals for triglyceride and stable isotope analyses to determine fattening rates and diet. Patterns of sandpiper and invertebrate abundance were complex and varied among deltas and within seasons. River deltas were used by sandpipers from late July to late August, and peak sandpiper counts ranged from 1000 to 4000 individuals, of which 98% were hatch-year semipalmated sandpipers. Isotopic signatures from blood plasma samples indicated that birds switched from a diet of upland tundra to delta invertebrate taxa as the migration season progressed, suggesting a dependence on delta invertebrates. Despite differences in diet among deltas, we found no differences in fattening rates of juvenile sandpipers as indicated by triglyceride levels. The number of sandpipers was positively associated with abundance of Amphipoda and Oligochaeta at the Jago and Okpilak-Hulahula deltas; an isotopic mixing model indicated that sandpipers consumed Amphipoda and Oligochaeta at Jago, mostly Chironomidae at Okpilak-Hulahula and Spionidae at Canning. Regardless of the difference in sandpiper diets at the Beaufort Sea deltas, their similar fattening rates throughout the season indicate that all of these stopover sites provide a critical food resource for hatch-year sandpipers beginning their first migration.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-017-0272-8","usgsCitation":"Churchwell, R.T., Kendall, S.J., Brown, S.C., Blanchard, A.L., Hollmen, T.E., and Powell, A., 2018, The first hop: Use of Beaufort Sea deltas by hatch-year semipalmated sandpipers: Estuaries and Coasts, v. 41, no. 1, p. 280-292, https://doi.org/10.1007/s12237-017-0272-8.","productDescription":"13 p.","startPage":"280","endPage":"292","ipdsId":"IP-065128","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -146.865234375,\n 68.34654079146961\n ],\n [\n -141.0205078125,\n 68.34654079146961\n ],\n [\n -141.0205078125,\n 70.34831755984779\n ],\n [\n -146.865234375,\n 70.34831755984779\n ],\n [\n -146.865234375,\n 68.34654079146961\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-15","publicationStatus":"PW","scienceBaseUri":"5a07e844e4b09af898c8cb24","contributors":{"authors":[{"text":"Churchwell, Roy T.","contributorId":171773,"corporation":false,"usgs":false,"family":"Churchwell","given":"Roy","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":720993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, Steve J. 0000-0002-9290-5629","orcid":"https://orcid.org/0000-0002-9290-5629","contributorId":169663,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":720994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Stephen C.","contributorId":38457,"corporation":false,"usgs":false,"family":"Brown","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blanchard, Arny L.","contributorId":173948,"corporation":false,"usgs":false,"family":"Blanchard","given":"Arny","email":"","middleInitial":"L.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":720996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hollmen, Tuula E.","contributorId":106077,"corporation":false,"usgs":true,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Powell, Abby 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":176843,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717253,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193032,"text":"70193032 - 2018 - Trophic pathways supporting Arctic grayling in a small stream on the Arctic Coastal Plain, Alaska","interactions":[],"lastModifiedDate":"2017-12-11T13:17:51","indexId":"70193032","displayToPublicDate":"2017-11-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Trophic pathways supporting Arctic grayling in a small stream on the Arctic Coastal Plain, Alaska","docAbstract":"Beaded streams are prominent across the Arctic Coastal Plain (ACP) of Alaska, yet prey flow and food web dynamics supporting fish inhabiting these streams are poorly understood. Arctic grayling (Thymallus arcticus) are a widely distributed upper-level consumer on the ACP and migrate into beaded streams to forage during the short 3-month open-water season. We investigated energy pathways and key prey resources that support grayling in a representative beaded stream, Crea Creek. We measured terrestrial invertebrates entering the stream from predominant riparian vegetation types, prey types supporting a range of fish size classes, and how riparian plants and fish size influenced foraging habits. We found that riparian plants influenced the quantity of terrestrial invertebrates entering Crea Creek; however, these differences were not reflected in fish diets. Prey type and size ingested varied with grayling size and season. Small grayling (<15 cm fork length (FL)) consumed mostly aquatic invertebrates early in the summer, and terrestrial invertebrates later in summer, while larger fish (>15 cm FL) foraged most heavily on ninespine stickleback (Pungitius pungitius) throughout the summer, indicating that grayling can be insectivorous and piscivorous, depending on size. These findings underscore the potential importance of small streams in Arctic ecosystems as key summer foraging habitats for fish. Understanding trophic pathways supporting stream fishes in these systems will help interpret whether and how petroleum development and climate change may affect energy flow and stream productivity, terrestrial–aquatic linkages and fishes in Arctic ecosystems.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12336","usgsCitation":"McFarland, J.J., Wipfli, M.S., and Whitman, M.S., 2018, Trophic pathways supporting Arctic grayling in a small stream on the Arctic Coastal Plain, Alaska: Ecology of Freshwater Fish, v. 27, no. 1, p. 184-197, https://doi.org/10.1111/eff.12336.","productDescription":"14 p.","startPage":"184","endPage":"197","ipdsId":"IP-066080","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469166,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11122/5752","text":"External Repository"},{"id":348347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Crea Creek","volume":"27","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e840e4b09af898c8cb1a","contributors":{"authors":[{"text":"McFarland, Jason J.","contributorId":200064,"corporation":false,"usgs":false,"family":"McFarland","given":"Jason","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitman, Matthew S.","contributorId":67961,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":720856,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192910,"text":"70192910 - 2018 - Using genetic and phenotypic comparisons to evaluate apparent segregation among Kokanee spawning groups","interactions":[],"lastModifiedDate":"2018-03-19T11:30:13","indexId":"70192910","displayToPublicDate":"2017-11-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Using genetic and phenotypic comparisons to evaluate apparent segregation among Kokanee spawning groups","docAbstract":"Genetic and phenotypic traits of spatially and temporally segregated kokanee Oncorhynchus nerka spawning groups in Lake Pend Oreille, Idaho, were compared to test for evidence of divergence on the basis of ecotype (stream spawners versus shoreline spawners) and spawn timing and to describe morphological, life history, and reproductive variation within and among groups. Early and late spawning runs were found to be reproductively isolated; however, there was no clear evidence of genetic differentiation between ecotypes. Spawning groups within the same ecotype differed in length, age distribution, mean length at age, fecundity, and egg size. Variation in reproductive attributes was due primarily to differences in length distributions. Larger‐bodied shore‐spawning kokanee were located in areas where egg survival is known to be enhanced by downwelling, suggesting that the distribution of shore‐spawning kokanee may be partly structured by competition for spawning habitats with groundwater influence. This study contributes to other research indicating that introduced kokanee populations are unlikely to undergo adaptive divergence if they have a history of population fluctuations and are supplemented regularly.
","language":"English","publisher":"Taylor & Francis","doi":"10.1002/tafs.10017","usgsCitation":"Whitlock, S.L., Campbell, M.R., Quist, M.C., and Dux, A., 2018, Using genetic and phenotypic comparisons to evaluate apparent segregation among Kokanee spawning groups: Transactions of the American Fisheries Society, v. 147, no. 1, p. 43-60, https://doi.org/10.1002/tafs.10017.","productDescription":"18 p.","startPage":"43","endPage":"60","ipdsId":"IP-086288","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Lake Pend Oreille basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.84783935546875,\n 47.929226038300406\n ],\n [\n -116.12136840820312,\n 47.929226038300406\n ],\n [\n -116.12136840820312,\n 48.34255897353983\n ],\n [\n -116.84783935546875,\n 48.34255897353983\n ],\n [\n -116.84783935546875,\n 47.929226038300406\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-26","publicationStatus":"PW","scienceBaseUri":"5a07e843e4b09af898c8cb22","contributors":{"authors":[{"text":"Whitlock, Steven L.","contributorId":171705,"corporation":false,"usgs":false,"family":"Whitlock","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":720978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Matthew R.","contributorId":145882,"corporation":false,"usgs":false,"family":"Campbell","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":16279,"text":"Idaho Department of Fish & Game","active":true,"usgs":false}],"preferred":false,"id":720979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":717345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dux, Andrew M.","contributorId":73491,"corporation":false,"usgs":true,"family":"Dux","given":"Andrew M.","affiliations":[],"preferred":false,"id":720980,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192927,"text":"70192927 - 2018 - Wanted dead or alive: A state-space mark-recapture-recovery model incorporating multiple recovery types and state uncertainty","interactions":[],"lastModifiedDate":"2018-07-03T11:42:11","indexId":"70192927","displayToPublicDate":"2017-11-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Wanted dead or alive: A state-space mark-recapture-recovery model incorporating multiple recovery types and state uncertainty","docAbstract":"We developed a state-space mark-recapture-recovery model that incorporates multiple recovery types and state uncertainty to estimate survival of an anadromous fish species. We apply the model to a dataset of out-migrating juvenile steelhead trout (Oncorhynchus mykiss) tagged with passive integrated transponders, recaptured during outmigration, and recovered on bird colonies in the Columbia River basin (2008-2014). Recoveries on bird colonies are often ignored in survival studies because the river reach of mortality is often unknown, which we model as a form of state uncertainty. Median outmigration survival from release to the lower river (river kilometer 729 to 75) ranged from 0.27 to 0.35, depending on year. Recovery probabilities were frequently >0.20 in the first river reach following tagging, indicating that one out of five fish that died in that reach was recovered on a bird colony. Integrating dead recovery data provided increased parameter precision, estimation of where birds consumed fish, and survival estimates across larger spatial scales. More generally, these modeling approaches provide a flexible framework to integrate multiple sources of tag recovery data into mark-recapture studies.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0246","usgsCitation":"Hostetter, N.J., Gardner, B., Evans, A.F., Cramer, B.M., Payton, Q., Collis, K., and Roby, D.D., 2018, Wanted dead or alive: A state-space mark-recapture-recovery model incorporating multiple recovery types and state uncertainty: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 7, p. 1117-1127, https://doi.org/10.1139/cjfas-2016-0246.","productDescription":"11 p.","startPage":"1117","endPage":"1127","ipdsId":"IP-077533","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.354248046875,\n 45.46783598133375\n ],\n [\n -118.8116455078125,\n 45.46783598133375\n ],\n [\n -118.8116455078125,\n 47.468949677672484\n ],\n [\n -124.354248046875,\n 47.468949677672484\n ],\n [\n -124.354248046875,\n 45.46783598133375\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e842e4b09af898c8cb1e","contributors":{"authors":[{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":717365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":720947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Allen F.","contributorId":171691,"corporation":false,"usgs":false,"family":"Evans","given":"Allen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":720948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cramer, Bradley M.","contributorId":171692,"corporation":false,"usgs":false,"family":"Cramer","given":"Bradley","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Payton, Quinn","contributorId":149990,"corporation":false,"usgs":false,"family":"Payton","given":"Quinn","email":"","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":720950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collis, Ken","contributorId":149991,"corporation":false,"usgs":false,"family":"Collis","given":"Ken","email":"","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":720951,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roby, Daniel D. 0000-0001-9844-0992 droby@usgs.gov","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":3702,"corporation":false,"usgs":true,"family":"Roby","given":"Daniel","email":"droby@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717364,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203980,"text":"70203980 - 2018 - Origins of lead in populations of raptors","interactions":[],"lastModifiedDate":"2019-06-26T09:23:21","indexId":"70203980","displayToPublicDate":"2017-11-06T09:15:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Origins of lead in populations of raptors","docAbstract":"Although poisoning from anthropogenically derived lead threatens wildlife of many species, routes of lead exposure are unclear and rarely empirically tested. We used blood lead concentration and isotope ratio (207Pb/206Pb) data from populations of four species of raptors from across North America to test hypotheses associated with lead exposure via inhalation versus ingestion. Mean variation in blood lead concentration among cohort siblings was non‐zero at nests of ferruginous hawks Buteo regalis and osprey Pandion haliaetus (P < 0.001 and P < 0.001), indicating exposure via episodic ingestion. However, within‐nest variation in blood lead concentration was not significantly different from zero among cohort siblings at nests of bald eagles Haliaeetus leucocephalus and golden eagles Aquila chrysaetos (P = 0.014 and P = 0.023), consistent with exposure via continuous inhalation. Isotope ratio data corroborated the lead concentration data and within‐nest average and variance of blood lead concentrations were positively correlated (r = 0.70 to 0.94), indicating episodic ingestion. This study provides some of the first empirical population‐level data to evaluate mechanisms of lead exposure and demonstrates the importance of lead ingestion to avian predators and scavengers.
","language":"English","publisher":"Wiley","doi":"10.1111/acv.12379","usgsCitation":"Katzner, T., Stuber, M.J., Slabe, V.A., Anderson, J.T., Cooper, J.L., Rhea, L.L., and Milsap, B., 2018, Origins of lead in populations of raptors: Animal Conservation, v. 21, no. 3, p. 232-240, https://doi.org/10.1111/acv.12379.","productDescription":"9 p.","startPage":"232","endPage":"240","ipdsId":"IP-090831","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":365054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Arizona, California, Idaho, Michigan, Montana, Nevada, Virginia","volume":"21","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":765073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stuber, M J","contributorId":216569,"corporation":false,"usgs":false,"family":"Stuber","given":"M","email":"","middleInitial":"J","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":765074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slabe, V A","contributorId":216570,"corporation":false,"usgs":false,"family":"Slabe","given":"V","email":"","middleInitial":"A","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":765075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, J T","contributorId":216571,"corporation":false,"usgs":false,"family":"Anderson","given":"J","email":"","middleInitial":"T","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":765076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, J L","contributorId":216572,"corporation":false,"usgs":false,"family":"Cooper","given":"J","email":"","middleInitial":"L","affiliations":[{"id":35592,"text":"Virginia Department of Game and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":765077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rhea, L L","contributorId":216573,"corporation":false,"usgs":false,"family":"Rhea","given":"L","email":"","middleInitial":"L","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":765078,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Milsap, B A","contributorId":216574,"corporation":false,"usgs":false,"family":"Milsap","given":"B A","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":765079,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193588,"text":"70193588 - 2018 - Linking spring phenology with mechanistic models of host movement to predict disease transmission risk","interactions":[],"lastModifiedDate":"2018-02-14T14:22:11","indexId":"70193588","displayToPublicDate":"2017-11-06T00:00:00","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":"Linking spring phenology with mechanistic models of host movement to predict disease transmission risk","docAbstract":"Disease models typically focus on temporal dynamics of infection, while often neglecting environmental processes that determine host movement. In many systems, however, temporal disease dynamics may be slow compared to the scale at which environmental conditions alter host space-use and accelerate disease transmission.
Using a mechanistic movement modelling approach, we made space-use predictions of a mobile host (elk [Cervus Canadensis] carrying the bacterial disease brucellosis) under environmental conditions that change daily and annually (e.g., plant phenology, snow depth), and we used these predictions to infer how spring phenology influences the risk of brucellosis transmission from elk (through aborted foetuses) to livestock in the Greater Yellowstone Ecosystem.
Using data from 288 female elk monitored with GPS collars, we fit step selection functions (SSFs) during the spring abortion season and then implemented a master equation approach to translate SSFs into predictions of daily elk distribution for five plausible winter weather scenarios (from a heavy snow, to an extreme winter drought year). We predicted abortion events by combining elk distributions with empirical estimates of daily abortion rates, spatially varying elk seroprevelance and elk population counts.
Our results reveal strong spatial variation in disease transmission risk at daily and annual scales that is strongly governed by variation in host movement in response to spring phenology. For example, in comparison with an average snow year, years with early snowmelt are predicted to have 64% of the abortions occurring on feedgrounds shift to occurring on mainly public lands, and to a lesser extent on private lands.
Synthesis and applications. Linking mechanistic models of host movement with disease dynamics leads to a novel bridge between movement and disease ecology. Our analysis framework offers new avenues for predicting disease spread, while providing managers tools to proactively mitigate risks posed by mobile disease hosts. More broadly, we demonstrate how mechanistic movement models can provide predictions of ecological conditions that are consistent with climate change but may be more extreme than has been observed historically.
Potassium is a major component in continental crust, the fourth-most abundant cation in seawater, and a key element in biological processes. Until recently, difficulties with existing analytical techniques hindered our ability to identify natural isotopic variability of potassium isotopes in terrestrial materials. However, measurement precision has greatly improved and a range of K isotopic compositions has now been demonstrated in natural samples. In this study, we present a new technique for high-precision measurement of K isotopic ratios using high-resolution, cold plasma multi-collector mass spectrometry. We apply this technique to demonstrate natural variability in the ratio of 41K to 39K in a diverse group of geological and biological samples, including silicate and evaporite minerals, seawater, and plant and animal tissues. The total range in 41K/39K ratios is ca. 2.6‰, with a long-term external reproducibility of 0.17‰ (2, N=108). Seawater and seawater-derived evaporite minerals are systematically enriched in 41K compared to silicate minerals by ca. 0.6‰, a result consistent with recent findings1, 2. Although our average bulk-silicate Earth value (-0.54‰) is indistinguishable from previously published values, we find systematic δ41K variability in some high-temperature sample suites, particularly those with evidence for the presence of fluids. The δ41K values of biological samples span a range of ca. 1.2‰ between terrestrial mammals, plants, and marine organisms. Implications of terrestrial K isotope variability for the atomic weight of K and K-based geochronology are discussed. Our results indicate that high-precision measurements of stable K isotopes, made using commercially available mass spectrometers, can provide unique insights into the chemistry of potassium in geological and biological systems.
","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/C7JA00257B","usgsCitation":"Morgan, L.E., Santiago Ramos, D.P., Davidheiser-Kroll, B., Faithfull, J., Lloyd, N.S., Ellam, R.M., and Higgins, J.A., 2018, High-precision 41K/39K measurements by MC-ICP-MS indicate terrestrial variability of δ41K: Journal of Analytical Atomic Spectrometry, v. 33, p. 175-186, https://doi.org/10.1039/C7JA00257B.","productDescription":"12 p.","startPage":"175","endPage":"186","ipdsId":"IP-070941","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469169,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":348263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e84ae4b09af898c8cb38","contributors":{"authors":[{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":719366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santiago Ramos, Danielle P.","contributorId":199530,"corporation":false,"usgs":false,"family":"Santiago Ramos","given":"Danielle","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":719367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davidheiser-Kroll, Brett","contributorId":176175,"corporation":false,"usgs":false,"family":"Davidheiser-Kroll","given":"Brett","email":"","affiliations":[],"preferred":false,"id":719368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faithfull, John","contributorId":199531,"corporation":false,"usgs":false,"family":"Faithfull","given":"John","email":"","affiliations":[],"preferred":false,"id":719369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lloyd, Nicholas S.","contributorId":199532,"corporation":false,"usgs":false,"family":"Lloyd","given":"Nicholas","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":719370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellam, Rob M.","contributorId":199533,"corporation":false,"usgs":false,"family":"Ellam","given":"Rob","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Higgins, John A.","contributorId":199534,"corporation":false,"usgs":false,"family":"Higgins","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":719372,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193859,"text":"70193859 - 2018 - Are shovelnose sturgeon a valid diet surrogate for endangered pallid sturgeon during the first year of life?","interactions":[],"lastModifiedDate":"2018-01-24T15:47:45","indexId":"70193859","displayToPublicDate":"2017-11-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Are shovelnose sturgeon a valid diet surrogate for endangered pallid sturgeon during the first year of life?","docAbstract":"No abstract available.
","language":"English","publisher":"Wiley","doi":"10.1111/jai.13512","usgsCitation":"Gosch, N., Civiello, A.P., Gemeinhardt, T., Bonneau, J., and Long, J.M., 2018, Are shovelnose sturgeon a valid diet surrogate for endangered pallid sturgeon during the first year of life?: Journal of Applied Ichthyology, v. 34, no. 1, p. 39-41, https://doi.org/10.1111/jai.13512.","productDescription":"3 p.","startPage":"39","endPage":"41","ipdsId":"IP-086749","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469168,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13512","text":"Publisher Index Page"},{"id":348297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-04","publicationStatus":"PW","scienceBaseUri":"5a07e845e4b09af898c8cb28","contributors":{"authors":[{"text":"Gosch, N.J.C.","contributorId":66513,"corporation":false,"usgs":true,"family":"Gosch","given":"N.J.C.","email":"","affiliations":[],"preferred":false,"id":720744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Civiello, A. 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Additionally, climate change can increase the uncertainty associated with management of species in these changing environments, making understanding factors affecting their populations even more important. Coastal ecosystems are particularly threatened by climate change; the combined effects of increasing severe weather events, sea level rise, and drought will likely have non-linear effects on coastal marsh wildlife species and their associated habitats. A species of conservation concern that persists in these coastal areas is the mottled duck (Anas fulvigula). Mottled ducks in the western Gulf Coast are approximately 50% below target abundance numbers established by the Gulf Coast Joint Venture for Texas and Louisiana, USA. Although evidence for declines in mottled duck abundance is apparent, specific causes of the decrease remain unknown. Our goals were to determine where the largest declines in mottled duck population were occurring along the system of Texas Gulf Coast National Wildlife Refuges and quantify the relative contribution of environmental and intrinsic effects on changes to relative population density. We modeled aerial survey data of mottled duck density along the Texas Gulf Coast from 1986–2015 to quantify effects of extreme weather events on an index to mottled duck density using the United States Climate Extremes Index and Palmer Drought Severity Index. Our results indicate that decreases in abundance are best described by an increase in days with extreme 1-day precipitation from June to November (hurricane season) and an increase in drought severity. Better understanding those portions of the life cycle affected by environmental conditions, and how to manage mottled duck habitat in conjunction with these events will likely be key to persistence of the species under future environmental conditions.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21373","usgsCitation":"Ross, B., Haukos, D.A., and Walther, P., 2018, Quantifying changes and influences on mottled duck density in Texas: Journal of Wildlife Management, v. 82, p. 374-382, https://doi.org/10.1002/jwmg.21373.","productDescription":"9 p.","startPage":"374","endPage":"382","ipdsId":"IP-083236","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.00878906249999,\n 25.898761936567023\n ],\n [\n -93.482666015625,\n 25.898761936567023\n ],\n [\n -93.482666015625,\n 30.41078179084589\n ],\n [\n -99.00878906249999,\n 30.41078179084589\n ],\n [\n -99.00878906249999,\n 25.898761936567023\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"82","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-25","publicationStatus":"PW","scienceBaseUri":"5a07e845e4b09af898c8cb26","contributors":{"authors":[{"text":"Ross, Beth 0000-0001-5634-4951 bross@usgs.gov","orcid":"https://orcid.org/0000-0001-5634-4951","contributorId":199242,"corporation":false,"usgs":true,"family":"Ross","given":"Beth","email":"bross@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walther, Patrick","contributorId":42153,"corporation":false,"usgs":true,"family":"Walther","given":"Patrick","affiliations":[],"preferred":false,"id":720750,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193574,"text":"70193574 - 2018 - Discrete choice modeling of season choice for Minnesota turkey hunters","interactions":[],"lastModifiedDate":"2018-01-24T15:49:03","indexId":"70193574","displayToPublicDate":"2017-11-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Discrete choice modeling of season choice for Minnesota turkey hunters","docAbstract":"Recreational turkey hunting exemplifies the interdisciplinary nature of modern wildlife management. Turkey populations in Minnesota have reached social or biological carrying capacities in many areas, and changes to turkey hunting regulations have been proposed by stakeholders and wildlife managers. This study employed discrete stated choice modeling to enhance understanding of turkey hunter preferences about regulatory alternatives. We distributed mail surveys to 2,500 resident turkey hunters. Results suggest that, compared to season structure and lotteries, additional permits and level of potential interference from other hunters most influenced hunter preferences for regulatory alternatives. Low hunter interference was preferred to moderate or high interference. A second permit issued only to unsuccessful hunters was preferred to no second permit or permits for all hunters. Results suggest that utility is not strictly defined by harvest or an individual's material gain but can involve preference for other outcomes that on the surface do not materially benefit an individual. Discrete stated choice modeling offers wildlife managers an effective way to assess constituent preferences related to new regulations before implementing them.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21382","usgsCitation":"Schroeder, S., Fulton, D.C., Cornicelli, L., and Merchant, S., 2018, Discrete choice modeling of season choice for Minnesota turkey hunters: Journal of Wildlife Management, v. 82, p. 457-465, https://doi.org/10.1002/jwmg.21382.","productDescription":"9 p.","startPage":"457","endPage":"465","ipdsId":"IP-081175","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Difficulties with visual identification of larvae can confound early life history surveys, as cisco are often difficult to distinguish from lake whitefish C. clupeaformis. We compared traditional visual species identification methods to genetic identifications based on barcoding of the mitochondrial cytochrome C oxidase I gene for 726 coregonine larvae caught in Chaumont Bay, Lake Ontario. We found little agreement between the visual characteristics of cisco identified by genetic barcoding and the most widely used dichotomous key, and the considerable overlap in ranges of traditionally utilized metrics suggest that visual identification of coregonine larvae from Chaumont Bay is impractical. Coregonines are highly variable and plastic species, and often display wide variations in morphometric characteristics across their broad range. This study highlights the importance of developing accurate, geographically appropriate larval identification methods in order to best inform cisco restoration and management efforts.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2017-0186","usgsCitation":"George, E.M., Hare, M.P., Crabtree, D.L., Lantry, B.F., and Rudstam, L.G., 2018, Comparison of genetic and visual identification of cisco and lake whitefish larvae from Chaumont Bay, Lake Ontario: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 8, p. 1329-1336, https://doi.org/10.1139/cjfas-2017-0186.","productDescription":"8 p.","startPage":"1329","endPage":"1336","ipdsId":"IP-086908","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":348227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Chaumont Bay, Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.40716552734375,\n 43.830564195198264\n ],\n [\n -76.00341796875,\n 43.830564195198264\n ],\n [\n -76.00341796875,\n 44.09153051045218\n ],\n [\n -76.40716552734375,\n 44.09153051045218\n ],\n [\n -76.40716552734375,\n 43.830564195198264\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"8","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e846e4b09af898c8cb2a","contributors":{"authors":[{"text":"George, Ellen M. egeorge@usgs.gov","contributorId":3941,"corporation":false,"usgs":true,"family":"George","given":"Ellen","email":"egeorge@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":720572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hare, Matthew P.","contributorId":171454,"corporation":false,"usgs":false,"family":"Hare","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":720573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crabtree, Darran L.","contributorId":90628,"corporation":false,"usgs":true,"family":"Crabtree","given":"Darran","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":720574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":720571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":720575,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193694,"text":"70193694 - 2018 - Lack of observed movement response to lead exposure of California condors","interactions":[],"lastModifiedDate":"2018-01-24T15:49:57","indexId":"70193694","displayToPublicDate":"2017-11-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Lack of observed movement response to lead exposure of California condors","docAbstract":"Lead poisoning is an important conservation concern for wildlife, and scavenging birds are especially at risk from consumption of carcasses of animals killed with lead ammunition. Because current methods to identify lead exposure require animal capture and blood collection, management would benefit from the development of a less costly and noninvasive behavioral test for illness in wild animals. We attempted to design such a test to identify lead exposure in California condors (Gymnogyps californianus) that we tracked with global positioning system (GPS) telemetry in southern California, USA, 2013–2016. We measured blood-lead concentrations in tracked birds and expected that flight behavior would be influenced by lead exposure; thus, we measured the effect of blood-lead concentrations on 2 different types of movement rates and on the proportion of time condors spent in flight. We found no effect of lead exposure on any of these 3 behavioral metrics. Our work suggests that the measurements we took of flight behaviors were not a useful tool in predicting lead exposure in the mildly to moderately exposed birds we studied. Wild birds are effective at hiding illness, especially condors who have a strong social hierarchy in which showing weakness is a disadvantage. However, focusing on behaviors other than flight, expanding the sample studied to include birds with a wider range of lead concentration values, or analyzing tissues such as feathers (rather than, or in addition to, blood) may be more useful for identification of lead exposure and other diseases that may limit wildlife populations. © 2017 This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21378","usgsCitation":"Poessel, S.A., Brandt, J., Uyeda, L., Astell, M., and Katzner, T., 2018, Lack of observed movement response to lead exposure of California condors: Journal of Wildlife Management, v. 82, p. 310-318, https://doi.org/10.1002/jwmg.21378.","productDescription":"9 p.","startPage":"310","endPage":"318","ipdsId":"IP-088092","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":348204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"82","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-23","publicationStatus":"PW","scienceBaseUri":"5a00314de4b0531197b5a73a","contributors":{"authors":[{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":719938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Joseph","contributorId":127742,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","affiliations":[{"id":7133,"text":"California Condor Recovery Program, US Fish and Wildlife Service, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":719940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uyeda, Linda","contributorId":199752,"corporation":false,"usgs":false,"family":"Uyeda","given":"Linda","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":719941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Astell, Molly","contributorId":199753,"corporation":false,"usgs":false,"family":"Astell","given":"Molly","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":719942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":719939,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200847,"text":"70200847 - 2018 - Seafloor fluid seeps on Kimki Ridge, offshore southern California: Links to active strike-slip faulting","interactions":[],"lastModifiedDate":"2019-07-26T14:47:25","indexId":"70200847","displayToPublicDate":"2017-11-02T08:56:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Seafloor fluid seeps on Kimki Ridge, offshore southern California: Links to active strike-slip faulting","docAbstract":"The Kimki Ridge fluid seeps are located in western Catalina Basin about 60 km southwest of the southern California mainland and at a water depth of approximately 1100 m. Multichannel seismic reflection profiles collected by the U.S. Geological Survey (USGS) in 2014 show acoustic transparency within the Kimki Ridge, suggesting the possibility of fluid seeps and possible sub-seafloor fluid pathways. Subsequent multibeam bathymetric and backscatter intensity data collected during a cooperative University of Washington/USGS cruise in early 2016 show subtle seafloor buildups with high acoustic backscatter (reflectivity) in three places along Kimki Ridge, supporting the existence of fluid seepage. A Remotely Operated Vehicle (ROV) dive, conducted as part of the Nautilus Exploration Program, took place in August 2016 to confirm the presence of these previously unknown seeps and document their characteristics as well as those of any associated biological communities. Two of the three seeps were explored by ROV, and showed abundant evidence of fluid seepage, including characteristic algal mats, chemosynthetic clams, and authigenic carbonate formation. The seeps are comprised of carbonate buildups 1–3 m thick and 300–500 m across. Within these areas, we interpret broad crater-like depressions 30–50 m across and 1–2 m deep to be individual seep vents. The seep areas appear to be broad zones of diffuse seepage that support chemosynthetic biologic communities; however, active venting was not observed. Geochemical analyses of rock samples collected from the seeps indicate microbially driven anaerobic oxidation of methane at or near the sediment water interface. Seismic-reflection profiles show chimney-like fluid pathways along the limbs and in the axis of the fold forming Kimki Ridge, and evidence of methane in shallow sediments can be traced into the adjacent Catalina Basin. A system of closely spaced faults located at the axis of the Kimki Ridge anticline may serve as pathways to allow fluid flow to the seafloor. Our data are consistent with other studies that suggest that transpression is an important component in the formation and localization of fluid seeps in a strike-slip setting, implying that seep formation may be a common occurrence at fault stepovers or transpressional bends in strike-slip systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2017.11.001","usgsCitation":"Conrad, J.E., Prouty, N.G., Walton, M.A., Kluesner, J.W., Maier, K.L., McGann, M., Brothers, D.S., Roland, E.C., and Dartnell, P., 2018, Seafloor fluid seeps on Kimki Ridge, offshore southern California: Links to active strike-slip faulting: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 150, p. 82-91, https://doi.org/10.1016/j.dsr2.2017.11.001.","productDescription":"10 p.","startPage":"82","endPage":"91","ipdsId":"IP-092415","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2017.11.001","text":"Publisher Index Page"},{"id":359267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Kimki Ridge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.97644042968749,\n 32.71797709835758\n ],\n [\n -117.75146484375,\n 32.71797709835758\n ],\n [\n -117.75146484375,\n 33.62376800118811\n ],\n [\n -118.97644042968749,\n 33.62376800118811\n ],\n [\n -118.97644042968749,\n 32.71797709835758\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"150","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5be40823e4b0b3fc5cf7cc0c","contributors":{"authors":[{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":750875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":750876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton, Maureen A. 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A key finding was that for some species, such as harlequin ducks and sea otters, chronic oil spill effects persisted for at least two decades and were a larger influence on population dynamics over the long term than acute effects of the spill. These data also offer insights into population variation resulting from factors other than the oil spill. For example, while many seabirds experienced direct and indirect effects of the spill, population trajectories of some piscivorous birds, including pigeon guillemots and marbled murrelets, were linked to long-term environmental changes independent of spill effects. Another species, killer whales, suffered population declines due to acute spill effects that have not been resolved despite lack of chronic direct effects, representing a novel pathway of long-term injury. The observed variation in mechanisms and timelines of recovery is linked to species specific life history and natural history traits, and thus may be useful for predicting population recovery for other species following other spills.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2017.04.007","usgsCitation":"Esler, D., Ballachey, B.E., Matkin, C.O., Cushing, D., Kaler, R., Bodkin, J.L., Monson, D., Esslinger, G.G., and Kloecker, K.A., 2018, Timelines and mechanisms of wildlife population recovery following the Exxon Valdez oil spill: Deep Sea Research Part II: Topical Studies in Oceanography, v. 147, p. 36-42, https://doi.org/10.1016/j.dsr2.2017.04.007.","productDescription":"7 p.","startPage":"36","endPage":"42","ipdsId":"IP-080594","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":461135,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2017.04.007","text":"Publisher Index Page"},{"id":348051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William 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specialist: possible effects of landscape change and population recovery","docAbstract":"The effects of anthropogenic landscape change on genetic population structure are well studied, but the temporal and spatial scales at which genetic structure can develop, especially in taxa with high dispersal capabilities like birds, are less well understood. We investigated population structure in the Hawaiian gallinule (Gallinula galeata sandvicensis), an endangered wetland specialist bird on the island of O`ahu (Hawai`i, USA). Hawaiian gallinules have experienced a gradual population recovery from near extinction in the 1950s, and have recolonized wetlands on O`ahu in the context of a rapidly urbanizing landscape. We genotyped 152 Hawaiian gallinules at 12 microsatellite loci and sequenced a 520 base-pair fragment of the ND2 region of mitochondrial DNA (mtDNA) from individuals captured at 13 wetland locations on O`ahu in 2014–2016. We observed moderate to high genetic structuring (overall microsatellite FST = 0.098, mtDNA FST = 0.248) among populations of Hawaiian gallinules occupying wetlands at very close geographic proximity (e.g., 1.5–55 km). Asymmetry in gene flow estimates suggests that Hawaiian gallinules may have persisted in 2–3 strongholds which served as source populations that recolonized more recently restored habitats currently supporting large numbers of birds. Our results highlight that genetic structure can develop in taxa that are expanding their range after severe population decline, and that biologically significant structuring can occur over small geographic distances, even in avian taxa.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-017-1020-0","usgsCitation":"van Rees, C.B., Reed, J.M., Wilson, R.E., Underwood, J., and Sonsthagen, S.A., 2018, Small-scale genetic structure in an endangered wetland specialist: possible effects of landscape change and population recovery: Conservation Genetics, v. 19, no. 1, p. 129-142, https://doi.org/10.1007/s10592-017-1020-0.","productDescription":"14 p.","startPage":"129","endPage":"142","ipdsId":"IP-086333","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":348064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"O'ahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.35968017578125,\n 21.21642046916312\n ],\n [\n -157.60574340820312,\n 21.21642046916312\n ],\n [\n -157.60574340820312,\n 21.749295836732088\n ],\n [\n -158.35968017578125,\n 21.749295836732088\n ],\n [\n -158.35968017578125,\n 21.21642046916312\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-24","publicationStatus":"PW","scienceBaseUri":"59fadd1fe4b0531197b13c72","contributors":{"authors":[{"text":"van Rees, Charles B.","contributorId":198604,"corporation":false,"usgs":false,"family":"van Rees","given":"Charles","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":716535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, J. Michael","contributorId":198605,"corporation":false,"usgs":false,"family":"Reed","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":716536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":716537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Underwood, Jared G.","contributorId":139332,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared G.","affiliations":[],"preferred":false,"id":716538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":716534,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192806,"text":"70192806 - 2018 - Tracing biogeochemical subsidies from glacier runoff into Alaska's coastal marine food webs","interactions":[],"lastModifiedDate":"2018-01-05T14:17:02","indexId":"70192806","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Tracing biogeochemical subsidies from glacier runoff into Alaska's coastal marine food webs","docAbstract":"Nearly half of the freshwater discharge into the Gulf of Alaska originates from landscapes draining glacier runoff, but the influence of the influx of riverine organic matter on the trophodynamics of coastal marine food webs is not well understood. We quantified the ecological impact of riverine organic matter subsidies to glacier-marine habitats by developing a multi-trophic level Bayesian three-isotope mixing model. We utilized large gradients in stable (δ13C, δ15N, δ2H) and radiogenic (Δ14C) isotopes that trace riverine and marine organic matter sources as they are passed from lower to higher trophic levels in glacial-marine habitats. We also compared isotope ratios between glacial-marine and more oceanic habitats. Based on isotopic measurements of potential baseline sources, ambient water and tissues of marine consumers, estimates of the riverine organic matter source contribution to upper trophic-level species including fish and seabirds ranged from 12% to 44%. Variability in resource use among similar taxa corresponded to variation in species distribution and life histories. For example, riverine organic matter assimilation by the glacier-nesting seabirds Kittlitz's murrelet (Brachyramphus brevirostris) was greater than that of the forest-nesting marbled murrelet (B. marmoratus). The particulate and dissolved organic carbon in glacial runoff and near surface coastal waters was aged (12100–1500 years BP 14C-age) but dissolved inorganic carbon and biota in coastal waters were young (530 years BP 14C-age to modern). Thus terrestrial-derived subsidies in marine food webs were primarily composed of young organic matter sources released from glacier ecosystems and their surrounding watersheds. Stable isotope compositions also revealed a divergence in food web structure between glacial-marine and oceanic sites. This work demonstrates linkages between terrestrial and marine ecosystems, and facilitates a greater understanding of how climate-driven changes in freshwater runoff have the potential to alter food web dynamics within coastal marine ecosystems in Alaska.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13875","usgsCitation":"Arimitsu, M.L., Hobson, K.A., Webber, D.N., Piatt, J.F., Hood, E.W., and Fellman, J.B., 2018, Tracing biogeochemical subsidies from glacier runoff into Alaska's coastal marine food webs: Global Change Biology, v. 24, no. 1, p. 387-398, https://doi.org/10.1111/gcb.13875.","productDescription":"12 p.","startPage":"387","endPage":"398","ipdsId":"IP-085458","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469172,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/59558","text":"External Repository"},{"id":438079,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z036D9","text":"USGS data release","linkHelpText":"Biogeochemical Subsidies from Glacier Runoff into Alaska Coastal Marine Food Webs, Gulf of Alaska, 2012-2013"},{"id":348063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -148.95263671875,\n 59.6954703349364\n ],\n [\n -145.283203125,\n 59.6954703349364\n ],\n [\n -145.283203125,\n 61.62206526043813\n ],\n [\n -148.95263671875,\n 61.62206526043813\n ],\n [\n -148.95263671875,\n 59.6954703349364\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-23","publicationStatus":"PW","scienceBaseUri":"59fadd1fe4b0531197b13c6f","contributors":{"authors":[{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":717011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hobson, Keith A.","contributorId":190909,"corporation":false,"usgs":false,"family":"Hobson","given":"Keith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":717012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webber, D’Arcy N.","contributorId":198740,"corporation":false,"usgs":false,"family":"Webber","given":"D’Arcy","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":717013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hood, Eran W.","contributorId":198165,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":717015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fellman, Jason B.","contributorId":198741,"corporation":false,"usgs":false,"family":"Fellman","given":"Jason","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":717016,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70194480,"text":"70194480 - 2018 - Longitudinal thermal heterogeneity in rivers and refugia for coldwater species: Effects of scale and climate change","interactions":[],"lastModifiedDate":"2017-11-29T12:39:47","indexId":"70194480","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Longitudinal thermal heterogeneity in rivers and refugia for coldwater species: Effects of scale and climate change","docAbstract":"Climate-change driven increases in water temperature pose challenges for aquatic organisms. Predictions of impacts typically do not account for fine-grained spatiotemporal thermal patterns in rivers. Patches of cooler water could serve as refuges for anadromous species like salmon that migrate during summer. We used high-resolution remotely sensed water temperature data to characterize summer thermal heterogeneity patterns for 11,308 km of second–seventh-order rivers throughout the Pacific Northwest and northern California (USA). We evaluated (1) water temperature patterns at different spatial resolutions, (2) the frequency, size, and spacing of cool thermal patches suitable for Pacific salmon (i.e., contiguous stretches ≥ 0.25 km, ≤ 15 °C and ≥ 2 °C, aooler than adjacent water), and (3) potential influences of climate change on availability of cool patches. Thermal heterogeneity was nonlinearly related to the spatial resolution of water temperature data, and heterogeneity at fine resolution (< 1 km) would have been difficult to quantify without spatially continuous data. Cool patches were generally > 2.7 and < 13.0 km long, and spacing among patches was generally > 5.7 and < 49.4 km. Thermal heterogeneity varied among rivers, some of which had long uninterrupted stretches of warm water ≥ 20 °C, and others had many smaller cool patches. Our models predicted little change in future thermal heterogeneity among rivers, but within-river patterns sometimes changed markedly compared to contemporary patterns. These results can inform long-term monitoring programs as well as near-term climate-adaptation strategies.
","language":"English","publisher":"Springer","doi":"10.1007/s00027-017-0557-9","usgsCitation":"Fullerton, A., Torgersen, C.E., Lawer, J., Steel, E.A., Ebersole, J.L., and Lee, S., 2018, Longitudinal thermal heterogeneity in rivers and refugia for coldwater species: Effects of scale and climate change: Aquatic Sciences, v. 80, https://doi.org/10.1007/s00027-017-0557-9.","productDescription":"Article 3; 15p.","startPage":"15","ipdsId":"IP-090182","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":469171,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5854952","text":"External Repository"},{"id":349527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.71679687499999,\n 39\n ],\n [\n -112.763671875,\n 39\n ],\n [\n -112.763671875,\n 49.081062364320736\n ],\n [\n -124.71679687499999,\n 49.081062364320736\n ],\n [\n -124.71679687499999,\n 39\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"80","edition":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-21","publicationStatus":"PW","scienceBaseUri":"5a60fad8e4b06e28e9c227d5","contributors":{"authors":[{"text":"Fullerton, A.H.","contributorId":200991,"corporation":false,"usgs":false,"family":"Fullerton","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":724027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":724026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawer, J.J.","contributorId":200992,"corporation":false,"usgs":false,"family":"Lawer","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":724028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steel, E. A.","contributorId":200993,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ebersole, J. L.","contributorId":74221,"corporation":false,"usgs":false,"family":"Ebersole","given":"J.","email":"","middleInitial":"L.","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":724030,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, S.Y.","contributorId":200994,"corporation":false,"usgs":false,"family":"Lee","given":"S.Y.","email":"","affiliations":[],"preferred":false,"id":724031,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193306,"text":"70193306 - 2018 - Geochemical and Pb isotopic characterization of soil, groundwater, human hair, and corn samples from the Domizio Flegreo and Agro Aversano area (Campania region, Italy)","interactions":[],"lastModifiedDate":"2017-12-11T13:20:42","indexId":"70193306","displayToPublicDate":"2017-10-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical and Pb isotopic characterization of soil, groundwater, human hair, and corn samples from the Domizio Flegreo and Agro Aversano area (Campania region, Italy)","docAbstract":"A geochemical survey was carried out to investigate metal contamination in the Domizio Littoral and Agro Aversano area (Southern Italy) by means of soil, groundwater, human hair and corn samples. Pb isotope ratios were also determined to identify the sources of metals. Specifically, the investigation focused on topsoils (n = 1064), groundwater (n = 26), 25 human hair (n = 24) and corn samples (n = 13). Topsoils have been sampled and analysed in a previous study for 53 elements (including potentially harmful ones), and determined by ICP-MS after dissolving with aqua regia. Groundwater was analysed for 72 elements by ICP-MS and by ICP-ES. Samples of human hair were prepared and analysed for 16 elements by ICP-MS. Dried corn collected at several farms were also analysed for 53 elements by ICP-MS. The isotopic ratios of 206Pb/207Pb and 208Pb/207Pb in selected topsoil (n = 24), groundwater (n = 9), human hair (n = 9) and corn (n = 4) samples were analysed from both eluates and residues to investigate possible anthropogenic contamination and geogenic contributions. All data were processed and mapped by ArcGis software to produce interpolated maps and contamination factor maps of potentially harmful elements, in accordance with Italian Environmental Law (Legislative Decree 152/06). Results show that soil sampling sites are characterized by As, Cd, Co, Cr, Cu, Hg, Pb, Se, and Zn contents exceeding the action limits established for residential land use (RAL) and, in some cases, also the action limits for industrial land use (IAL) as established by Legislative Decree 152/06. A map of contamination factors and a map showing the degrees of contamination indicate that the areas in the municipalities of Acerra, Casoria and Giugliano have been affected by considerable anthropogenic-related pollution. To interpret the isotopic data and roughly estimate proportion of Pb from an anthropogenic source we broadly defined possible natural and anthropogenic Pb end-member fields based on literature data. For example, we summarized data for Vesuvius and Campi Flegrei volcanic rocks, gasoline, and aerosol deposits.
Lead isotope data show mixing between geogenic and anthropogenic sources. Topsoil, groundwater, human hair and corn samples show a greater contribution from geogenic sources like the Yellow Tuff (from Campi Flegrei) and volcanic rocks from Mt. Vesuvius. Aerosols, fly ash and gasoline (anthropogenic sources) have also been contributors. In detail, 46% of the topsoil residues, 96% of topsoil leachates, 88% of groundwater, 90% of human hair, and 25% of corn samples indicate that > 50% percent of the lead in this area can be ascribed to anthropogenic activity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2017.01.007","usgsCitation":"Rezza, C., Albanese, S., Ayuso, R.A., Lima, A., Sorvari, J., and De Vivo, B., 2018, Geochemical and Pb isotopic characterization of soil, groundwater, human hair, and corn samples from the Domizio Flegreo and Agro Aversano area (Campania region, Italy): Journal of Geochemical Exploration, v. 184, no. B, p. 318-332, https://doi.org/10.1016/j.gexplo.2017.01.007.","productDescription":"15 p.","startPage":"318","endPage":"332","ipdsId":"IP-078832","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":347919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","state":"Campania region","otherGeospatial":"Agro Aversano, Domizio Flegreo","volume":"184","issue":"B","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f98ba7e4b0531197af9f9c","contributors":{"authors":[{"text":"Rezza, Carmela","contributorId":199318,"corporation":false,"usgs":false,"family":"Rezza","given":"Carmela","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":718740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albanese, Stefano","contributorId":199319,"corporation":false,"usgs":false,"family":"Albanese","given":"Stefano","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":718741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lima, Annamaria","contributorId":176910,"corporation":false,"usgs":false,"family":"Lima","given":"Annamaria","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":718743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sorvari, Jaana","contributorId":199320,"corporation":false,"usgs":false,"family":"Sorvari","given":"Jaana","email":"","affiliations":[{"id":6718,"text":"Aalto University, Finland","active":true,"usgs":false}],"preferred":false,"id":718744,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Vivo, Benedetto","contributorId":199321,"corporation":false,"usgs":false,"family":"De Vivo","given":"Benedetto","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":718745,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}