The arroyo southwestern toad is a specialized and federally endangered amphibian endemic to the coastal plains and mountains of central and southern California and northwestern Baja California. It is largely unknown how long these toads live in natural systems, how their population demographics vary across occupied drainages, and how hydrology affects age structure. We used skeletochronology to estimate the ages of adult arroyo toads in seven occupied drainages with varying surface water hydrology in southern California. We processed 179 adult toads with age estimates between 1 and 6 years. Comparisons between skeletochronological ages and known ages of PIT tagged toads showed that skeletochronology likely underestimated toad age by up to 2 years, indicating they may live to 7 or 8 years, but nonetheless major patterns were evident. Arroyo toads showed sexual size dimorphism with adult females reaching a maximum size of 12 mm greater than males. Population age structure varied among the sites. Age structure at sites with seasonally predictable surface water was biased toward younger individuals, which indicated stable recruitment for these populations. Age structures at the ephemeral sites were biased toward older individuals with cohorts roughly corresponding to higher rainfall years. These populations are driven by surface water availability, a stochastic process, and thus more unstable. Based on our estimates of toad ages, climate predictions of extreme and prolonged drought events could mean that the number of consecutive dry years could surpass the maximum life span of toads making them vulnerable to extirpation, especially in ephemeral freshwater systems. Understanding the relationship between population demographics and hydrology is essential for predicting species resilience to projected changes in weather and rainfall patterns. The arroyo toad serves as a model for understanding potential responses to climatic and hydrologic changes in Mediterranean stream systems. We recommend development of adaptive management strategies to address these threats.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4158","usgsCitation":"Fisher, R.N., Brehme, C.S., Hathaway, S.A., Hovey, T.E., Warburton, M.L., and Stokes, D.C., 2018, Longevity and population age structure of the arroyo southwestern toad (Anaxyrus californicus) with drought implications: Ecology and Evolution, v. 8, no. 12, p. 6124-6132, https://doi.org/10.1002/ece3.4158.","productDescription":"9 p.","startPage":"6124","endPage":"6132","ipdsId":"IP-095515","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4158","text":"Publisher Index Page"},{"id":356281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.01239013671874,\n 32.579220642875676\n ],\n [\n -116.68853759765626,\n 32.579220642875676\n ],\n [\n -116.68853759765626,\n 34.04583232505719\n ],\n [\n -118.01239013671874,\n 34.04583232505719\n ],\n [\n -118.01239013671874,\n 32.579220642875676\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2018-05-20","publicationStatus":"PW","scienceBaseUri":"5b6fc450e4b0f5d57878ea4d","contributors":{"authors":[{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hathaway, Stacie A. 0000-0002-4167-8059 sahathaway@usgs.gov","orcid":"https://orcid.org/0000-0002-4167-8059","contributorId":3420,"corporation":false,"usgs":true,"family":"Hathaway","given":"Stacie","email":"sahathaway@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hovey, Tim E.","contributorId":206822,"corporation":false,"usgs":false,"family":"Hovey","given":"Tim","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":741874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warburton, Manna L.","contributorId":174875,"corporation":false,"usgs":false,"family":"Warburton","given":"Manna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":741875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stokes, Drew C.","contributorId":33836,"corporation":false,"usgs":true,"family":"Stokes","given":"Drew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":741876,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70200911,"text":"70200911 - 2018 - Spatiotemporal analysis of Landsat-8 and Sentinel-2 data to support monitoring of dryland ecosystems","interactions":[],"lastModifiedDate":"2018-12-13T09:13:22","indexId":"70200911","displayToPublicDate":"2018-05-19T11:09:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal analysis of Landsat-8 and Sentinel-2 data to support monitoring of dryland ecosystems","docAbstract":"Drylands are the habitat and source of livelihood for about two fifths of the world’s population and are highly susceptible to climate and anthropogenic change. To understand the vulnerability of drylands to changing environmental conditions, land managers need to effectively monitor rates of past change and remote sensing offers a cost-effective means to assess and manage these vast landscapes. Here, we present a novel approach to accurately monitor land-surface phenology in drylands of the Western United States using a regression tree modeling framework that combined information collected by the Operational Land Imager (OLI) onboard Landsat 8 and the Multispectral Instrument (MSI) onboard Sentinel-2. This highly-automatable approach allowed us to precisely characterize seasonal variations in spectral vegetation indices with substantial agreement between observed and predicted values (R2 = 0.98; Mean Absolute Error = 0.01). Derived phenology curves agreed with independent eMODIS phenological signatures of major land cover types (average r-value = 0.86), cheatgrass cover (average r-value = 0.96), and growing season proxies for vegetation productivity (R2 = 0.88), although a systematic bias towards earlier maturity and senescence indicates enhanced monitoring capabilities associated with the use of harmonized Landsat-8 Sentinel-2 data. Overall, our results demonstrate that observations made by the MSI and OLI can be used in conjunction to accurately characterize land-surface phenology and exclusion of imagery from either sensor drastically reduces our ability to monitor dryland environments. Given the declines in MODIS performance and forthcoming decommission with no equivalent replacement planned, data fusion approaches that integrate observations from multispectral sensors will be needed to effectively monitor dryland ecosystems. While the synthetic image stacks are expected to be locally useful, the technical approach can serve a wide variety of applications such as invasive species and drought monitoring, habitat mapping, production of phenology metrics, and land-cover change modeling.
","language":"English","publisher":"MDPI","doi":"10.3390/rs10050791","usgsCitation":"Pastick, N.J., Wylie, B.K., and Wu, Z., 2018, Spatiotemporal analysis of Landsat-8 and Sentinel-2 data to support monitoring of dryland ecosystems: Remote Sensing, v. 10, no. 5, 15 p., https://doi.org/10.3390/rs10050791.","productDescription":"15 p.","ipdsId":"IP-097826","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":468743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs10050791","text":"Publisher Index Page"},{"id":359420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"10","issue":"5","noUsgsAuthors":false,"publicationDate":"2018-05-19","publicationStatus":"PW","scienceBaseUri":"5bed4274e4b0b3fc5cf91c92","contributors":{"authors":[{"text":"Pastick, Neal J. 0000-0002-8169-3018 njpastick@usgs.gov","orcid":"https://orcid.org/0000-0002-8169-3018","contributorId":4785,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"njpastick@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":751236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":751237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":751238,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196044,"text":"sim3400 - 2018 - Geologic map of the Leadville North 7.5’ quadrangle, Eagle and Lake Counties, Colorado","interactions":[],"lastModifiedDate":"2018-05-18T15:37:42","indexId":"sim3400","displayToPublicDate":"2018-05-18T16:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3400","title":"Geologic map of the Leadville North 7.5’ quadrangle, Eagle and Lake Counties, Colorado","docAbstract":"The Leadville North 7.5’ quadrangle lies at the northern end of the Upper Arkansas Valley, where the Continental Divide at Tennessee Pass creates a low drainage divide between the Colorado and Arkansas River watersheds. In the eastern half of the quadrangle, the Paleozoic sedimentary section dips generally 20–30 degrees east. At Tennessee Pass and Missouri Hill, the core of the Sawatch anticlinorium is mapped as displaying a tight hanging-wall syncline and foot-wall anticline within the basement-cored structure. High-angle, west-dipping, Neogene normal faults cut the eastern margin of the broad, Sawatch anticlinorium. Minor displacements along high-angle, east- and west-dipping Laramide reverse faults occurred in the core of the north-plunging anticlinorium along the western and eastern flanks of Missouri Hill. Within the western half of the quadrangle, Meso- and Paleoproterozoic metamorphic and igneous rocks are uplifted along the generally east-dipping, high-angle Sawatch fault system and are overlain by at least three generations of glacial deposits in the western part of the quadrangle. 10Be and 26Al cosmogenic nuclide ages of the youngest glacial deposits indicate a last glacial maximum age of about 21–22 kilo-annum and complete deglaciation by about 14 kilo-annum, supported by chronologic studies in adjacent drainages. No late Pleistocene tectonic activity is apparent within the quadrangle.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3400","usgsCitation":"Ruleman, C.A., Brandt, T.R., Caffee, M.W., and Goehring, B.M., 2018, Geologic map of the Leadville North 7.5’ quadrangle, Eagle and Lake Counties, Colorado: U.S. Geological Survey Scientific Investigations Map 3400, 1:24,000, https://doi.org/10.3133/sim3400.","productDescription":"Map: 50.00 x 39.94 inches; Data release; Read Me","onlineOnly":"Y","ipdsId":"IP-085050","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":353270,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3400/sim3400_hillshade.pdf","text":"Hillshaded Map","size":"65.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3400 Hillshaded Map"},{"id":353268,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3400/sim3400.pdf","text":"Map","size":"63.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3400 Map"},{"id":353269,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3400/sim3400_georeferenced.pdf","text":"Georeferenced Map","size":"181.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3400 Georeferenced Map"},{"id":353271,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DR2TRG","text":"USGS data release","linkHelpText":"Data Release for Geologic Map of the Leadville North 7.5' Quadrangle, Eagle and Lake Counties, Colorado"},{"id":353612,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3400/coverthb1.jpg"},{"id":353272,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3400/sim3400_readme.txt","text":"Read Me","size":"8.00 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3400 Read Me"},{"id":354341,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3400/versionHist.txt","size":"4/00 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3400 Version History"}],"country":"United States","state":"Colorado","county":"Eagle County, Lake County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.375,\n 39.375\n ],\n [\n -106.25,\n 39.375\n ],\n [\n -106.25,\n 39.25\n ],\n [\n -106.375,\n 39.25\n ],\n [\n -106.375,\n 39.375\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, Mail Stop 980
Denver, CO 80225
http://gec.cr.usgs.gov/
No abstract available.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/gmd-11-1849-2018","usgsCitation":"Sherwood, C.R., Aretxabaleta, A., Harris, C.K., Rinehimer, J.P., Verney, R., and Ferre, B., 2018, Cohesive and mixed sediment in the Regional Ocean Modeling System (ROMS v3.6) implemented in the Coupled Ocean–Atmosphere–Wave–Sediment Transport Modeling System (COAWST r1234): Geoscientific Model Development, v. 11, p. 1849-1871, https://doi.org/10.5194/gmd-11-1849-2018.","productDescription":"23 p.","startPage":"1849","endPage":"1871","ipdsId":"IP-090028","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468744,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmd-11-1849-2018","text":"Publisher Index Page"},{"id":413620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2018-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Courtney K.","contributorId":19620,"corporation":false,"usgs":false,"family":"Harris","given":"Courtney","email":"","middleInitial":"K.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":865487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rinehimer, J. Paul","contributorId":140081,"corporation":false,"usgs":false,"family":"Rinehimer","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":13381,"text":"Center for Coastal Margin Observation & Prediction, Oregon Health and Sciences University, Portland, OR, 97239","active":true,"usgs":false}],"preferred":false,"id":865488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verney, Romaric","contributorId":302800,"corporation":false,"usgs":false,"family":"Verney","given":"Romaric","email":"","affiliations":[],"preferred":false,"id":865489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferre, Benedicte","contributorId":302801,"corporation":false,"usgs":false,"family":"Ferre","given":"Benedicte","email":"","affiliations":[],"preferred":false,"id":865490,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208930,"text":"70208930 - 2018 - The genetic network of greater sage-grouse: Range-wide identification of keystone hubs of connectivity","interactions":[],"lastModifiedDate":"2020-03-06T06:48:35","indexId":"70208930","displayToPublicDate":"2018-05-18T06:45:46","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"The genetic network of greater sage-grouse: Range-wide identification of keystone hubs of connectivity","docAbstract":"Genetic networks can characterize complex genetic relationships among groups of\nindividuals, which can be used to rank nodes most important to the overall connectivity\nof the system. Ranking allows scarce resources to be guided toward nodes integral\nto connectivity. The greater sage-grouse (Centrocercus urophasianus) is a species of conservation concern that breeds on spatially discrete leks that must remain connected by genetic exchange for population persistence. We genotyped 5,950 individuals from 1,200 greater sage-grouse leks distributed across the entire species’ geographic range. We found a small-world network composed of 458 nodes connected by 14,481 edges. This network was composed of hubs—that is, nodes facilitating gene flow across the network—and spokes—that is, nodes where connectivity is served by hubs. It is within these hubs that the greatest genetic diversity was housed. Using indices of network centrality, we identified hub nodes of greatest conservation importance. We also identified keystone nodes with elevated centrality\ndespite low local population size. Hub and keystone nodes were found across the\nentire species’ contiguous range, although nodes with elevated importance to\nnetwork-wide connectivity were found more central: especially in northeastern, central,\nand southwestern Wyoming and eastern Idaho. Nodes among which genes are\nmost readily exchanged were mostly located in Montana and northern Wyoming, as\nwell as Utah and eastern Nevada. The loss of hub or keystone nodes could lead to the\ndisintegration of the network into smaller, isolated subnetworks. Protecting both hub\nnodes and keystone nodes will conserve genetic diversity and should maintain network\nconnections to ensure a resilient and viable population over time. Our analysis\nshows that network models can be used to model gene flow, offering insights into its\npattern and process, with application to prioritizing landscapes for conservation.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4056","usgsCitation":"Cross, T.B., Schwartz, M.D., Naugle, D., Fedy, B.C., Row, J.R., and Oyler-McCance, S.J., 2018, The genetic network of greater sage-grouse: Range-wide identification of keystone hubs of connectivity: Ecology and Evolution, v. 8, no. 11, p. 5394-5412, https://doi.org/10.1002/ece3.4056.","productDescription":"19 p.","startPage":"5394","endPage":"5412","ipdsId":"IP-091562","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468745,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4056","text":"Publisher Index Page"},{"id":437891,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73N22PN","text":"USGS data release","linkHelpText":"Genetic data and genetic network attributes for rangewide Greater Sage-grouse network constructed in 2018 (ver. 2.0, December 2022)"},{"id":372986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Wyoming, Montana, Utah, 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\"}}]}","volume":"8","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Cross, Todd B.","contributorId":189267,"corporation":false,"usgs":false,"family":"Cross","given":"Todd","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":784078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, Michael D.","contributorId":174566,"corporation":false,"usgs":false,"family":"Schwartz","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":784082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naugle, David","contributorId":223090,"corporation":false,"usgs":false,"family":"Naugle","given":"David","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":784079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fedy, Brad C.","contributorId":140877,"corporation":false,"usgs":false,"family":"Fedy","given":"Brad","email":"","middleInitial":"C.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":784081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Row, Jeff R","contributorId":140874,"corporation":false,"usgs":false,"family":"Row","given":"Jeff","email":"","middleInitial":"R","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":784080,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":784077,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197124,"text":"70197124 - 2018 - Do downscaled general circulation models reliably simulate historical climatic conditions?","interactions":[],"lastModifiedDate":"2018-05-18T09:43:34","indexId":"70197124","displayToPublicDate":"2018-05-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Do downscaled general circulation models reliably simulate historical climatic conditions?","docAbstract":"The accuracy of statistically downscaled (SD) general circulation model (GCM) simulations of monthly surface climate for historical conditions (1950–2005) was assessed for the conterminous United States (CONUS). The SD monthly precipitation (PPT) and temperature (TAVE) from 95 GCMs from phases 3 and 5 of the Coupled Model Intercomparison Project (CMIP3 and CMIP5) were used as inputs to a monthly water balance model (MWBM). Distributions of MWBM input (PPT and TAVE) and output [runoff (RUN)] variables derived from gridded station data (GSD) and historical SD climate were compared using the Kolmogorov–Smirnov (KS) test For all three variables considered, the KS test results showed that variables simulated using CMIP5 generally are more reliable than those derived from CMIP3, likely due to improvements in PPT simulations. At most locations across the CONUS, the largest differences between GSD and SD PPT and RUN occurred in the lowest part of the distributions (i.e., low-flow RUN and low-magnitude PPT). Results indicate that for the majority of the CONUS, there are downscaled GCMs that can reliably simulate historical climatic conditions. But, in some geographic locations, none of the SD GCMs replicated historical conditions for two of the three variables (PPT and RUN) based on the KS test, with a significance level of 0.05. In these locations, improved GCM simulations of PPT are needed to more reliably estimate components of the hydrologic cycle. Simple metrics and statistical tests, such as those described here, can provide an initial set of criteria to help simplify GCM selection.","language":"English","publisher":"American Meteorological Society","doi":"10.1175/EI-D-17-0018.1","usgsCitation":"Bock, A.R., Hay, L.E., McCabe, G., Markstrom, S.L., and Atkinson, R.D., 2018, Do downscaled general circulation models reliably simulate historical climatic conditions?: Earth Interactions, v. 22, p. 1-22, https://doi.org/10.1175/EI-D-17-0018.1.","productDescription":"Paper 10; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-090110","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":468746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-17-0018.1","text":"Publisher Index Page"},{"id":354299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-17","publicationStatus":"PW","scienceBaseUri":"5afee6b2e4b0da30c1bfbd46","contributors":{"authors":[{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":735759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":735770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":1453,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":735771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":140378,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven","email":"markstro@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":735772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atkinson, R. Dwight","contributorId":195660,"corporation":false,"usgs":false,"family":"Atkinson","given":"R.","email":"","middleInitial":"Dwight","affiliations":[],"preferred":false,"id":735773,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196218,"text":"sir20105070P - 2018 - Quartz-pebble-conglomerate gold deposits","interactions":[],"lastModifiedDate":"2024-04-16T16:38:01.913558","indexId":"sir20105070P","displayToPublicDate":"2018-05-17T17:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5070","chapter":"P","title":"Quartz-pebble-conglomerate gold deposits","docAbstract":"Quartz-pebble-conglomerate gold deposits represent the largest repository of gold on Earth, largely due to the deposits of the Witwatersrand Basin, which account for nearly 40 percent of the total gold produced throughout Earth’s history. This deposit type has had a controversial history in regards to genetic models. However, most researchers conclude that they are paleoplacer deposits that have been modified by metamorphism and hydrothermal fluid flow subsequent to initial sedimentation.
The deposits are found exclusively within fault-bounded depositional basins. The periphery of these basins commonly consists of granite-greenstone terranes, classic hosts for lode gold that source the detrital material infilling the basin. The gold reefs are typically located along unconformities or, less commonly, at the top of sedimentary beds. Large quartz pebbles and heavy-mineral concentrates are found associated with the gold. Deposits that formed prior to the Great Oxidation Event (circa 2.4 giga-annum [Ga]) contain pyrite, whereas younger deposits contain iron oxides. Uranium minerals and hydrocarbons are also notable features of some deposits.
Much of the gold in these types of deposits forms crystalline features that are the product of local remobilization. However, some gold grains preserve textures that are undoubtedly of detrital origin. Other heavy minerals, such as pyrite, contain growth banding that is truncated along broken margins, which indicates that they were transported into place as opposed to forming by in situ growth in a hydrothermal setting.
The ore tailings associated with these deposits commonly contain uranium-rich minerals and sulfides. Oxidation of the sulfides releases sulfuric acid and mobilizes various metals into the environment. The neutralizing potential of the tailings is minimal, since carbonate minerals are rare. The continuity of the tabular ore bodies, such as those of the Witwatersrand Basin, has allowed these mines to be the deepest in the world. The extreme depths create engineering complications and safety issues for the miners, such as rock bursts as a result of pressure release.
The richness of these deposits makes them a desirable exploration target. However, the likelihood of future discoveries is minimal. Small deposits found in the United States include those found at Nemo in the Black Hills of South Dakota and Deep Lake in the Sierra Madre of Wyoming.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070P","usgsCitation":"Taylor, R.D., and Anderson, E.D., 2018, Quartz-pebble-conglomerate gold deposits: U.S. Geological Survey Scientific Investigations Report 2010–5070–P, 34 p., https://doi.org/10.3133/sir20105070P","productDescription":"v, 34 p.","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-086517","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":354221,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/p/sir20105070p.pdf","text":"Report","size":"6.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2010–5070–P"},{"id":354220,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2010/5070/p/coverthb.jpg"}],"contact":"Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS–973
Denver, CO 80225
Specific conductance (SC), soil volumetric water content (VWC), and discharge were monitored on a subsurface agricultural drain for a 2-yr period (2007–2008) to differentiate preferential flow paths from matrix flow paths. A major observation from the 2-yr period was the fast SC decrease after relatively small rainfall events, often <5 mm. A total of 25 paired rainfall–SC events were classified, with an average preferential flow onset time (from the event start) after 1.7 h and maximum preferential flow after 2.4 h. A specific conductance end-member mixing analysis (SC-EMMA) was used to determine the volume of water that infiltrated through preferential flow pathways. The SC-EMMA was used for 20 of the 25 paired rainfall–SC events; of the 20 classified events, the maximum preferential flow ranged from 11 to 75% of the total subsurface drain flow, with a mean maximum preferential flow of 31%. Overall, SC-EMMA illustrated that a significant portion of the subsurface drain discharge can be attributed to preferential flow, mainly through macropores or other largely open preferential flow pathways. The other primary mechanism, antecedent moisture conditions shifts, could only be shown for four of the 25 classified events. Specific conductance as a tracer of preferential flow was shown to be an effective tool for distinguishing preferential flow to subsurface drains. Even during relatively dry periods, the SC had a substantial decrease shortly after a rainfall event contrary to the conventional idea that macropore flow starts only after all the smaller pores are saturated and surface ponding begins to occur.
","language":"English","publisher":"ACSESS","doi":"10.2136/vzj2017.11.0206","usgsCitation":"Smith, E.A., and Capel, P.D., 2018, Specific conductance as a tracer of preferential flow in a subsurface-drained field: Vadose Zone Journal, v. 17, no. 1, 13 p., https://doi.org/10.2136/vzj2017.11.0206.","productDescription":"13 p.","ipdsId":"IP-030091","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":468747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2017.11.0206","text":"Publisher Index Page"},{"id":370106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","county":"Hamilton County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-93.5002,42.557],[-93.4996,42.4702],[-93.4641,42.4698],[-93.4642,42.3821],[-93.4636,42.2948],[-93.4643,42.2081],[-93.5844,42.2081],[-93.7009,42.2079],[-93.8179,42.2081],[-93.9319,42.2087],[-93.9324,42.2955],[-93.9324,42.3827],[-93.9323,42.4709],[-93.9727,42.4716],[-93.972,42.5566],[-93.8563,42.557],[-93.7367,42.5568],[-93.6191,42.5565],[-93.5002,42.557]]]},\"properties\":{\"name\":\"Hamilton\",\"state\":\"IA\"}}]}","volume":"17","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Erik A. 0000-0001-8434-0798 easmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8434-0798","contributorId":1405,"corporation":false,"usgs":true,"family":"Smith","given":"Erik","email":"easmith@usgs.gov","middleInitial":"A.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709972,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046497,"text":"70046497 - 2018 - Succession in ecological education","interactions":[],"lastModifiedDate":"2019-09-13T11:06:20","indexId":"70046497","displayToPublicDate":"2018-05-17T11:07:44","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Succession in ecological education","docAbstract":"As complex and dynamic systems, wetlands offer the opportunity to investigate and incorporate the ecological concept of succession in educational settings. For example, the well-known, classic hydrosere concept is illustrated in numerous ecology and life-science textbooks. In this chapter, the drawbacks of using the hydrosere successional concept are assessed, and two examples of using wetlands to illustrate the process of succession for educational purposes are described. In each case, the premise and approach is that students best “learn ecology by doing ecology.”
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The wetland book: Structure and function, management, and methods","language":"English","publisher":"Springer","doi":"10.1007/978-90-481-9659-3_6","usgsCitation":"Middleton, B.A., and Gibson, D.J., 2018, Succession in ecological education, chap. of The wetland book: Structure and function, management, and methods, p. 47-53, https://doi.org/10.1007/978-90-481-9659-3_6.","productDescription":"7 p.","startPage":"47","endPage":"53","ipdsId":"IP-040452","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":357227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2018-05-17","publicationStatus":"PW","scienceBaseUri":"5b98a2c5e4b0702d0e842fdc","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":744737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibson, David J.","contributorId":140174,"corporation":false,"usgs":false,"family":"Gibson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":517990,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70194694,"text":"sir20175154 - 2018 - Surface-water quality in the Lycoming Creek watershed, north-central Pennsylvania, August 1–3, 2011","interactions":[],"lastModifiedDate":"2018-05-17T16:50:52","indexId":"sir20175154","displayToPublicDate":"2018-05-17T10:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5154","title":"Surface-water quality in the Lycoming Creek watershed, north-central Pennsylvania, August 1–3, 2011","docAbstract":"This report presents the methodology and results for a study of surface-water quality of the Lycoming Creek watershed in north-central Pennsylvania during August 1–3, 2011. The study was done in cooperation with the Williamsport Municipal Water Authority and the Pennsylvania Department of Environmental Protection. Samples of stream water were collected from 31 sites in an area of exploration and production of natural gas from the Marcellus Shale – 5 sites on the main stem of Lycoming Creek and 26 sites on tributary streams. The samples provide a snapshot of the base-flow water-quality conditions, which helps document the spatial variability in water-quality and could be useful for assessing future changes.
The 272-square mile Lycoming Creek watershed is located within Lycoming, Tioga, and Sullivan Counties in north-central Pennsylvania. Lycoming Creek flows 37.5 miles to its confluence with the West Branch Susquehanna River in the city of Williamsport. A well field that supplies water for Williamsport captures some water that has infiltrated the streambed of Lycoming Creek. Because the stream provides a source of water to the well field, this study focused on the stream-water quality as it relates to drinking-water standards as opposed to aquatic life.
Surface-water samples collected at 20 sites by the U.S. Geological Survey and 11 sites by the Pennsylvania Department of Environmental Protection were analyzed by each agency for a suite of constituents that included major ions, trace metals, nutrients, and radiochemicals. None of the analytical results failed to meet standards set by the U.S. Environmental Protection Agency as maximum contaminant levels for drinking water.
Results of the sampling show the substantial spatial variability in base-flow water quality within the Lycoming Creek watershed caused by the interrelated effects of physiography, geology and land use. Dissolved-solids concentrations ranged from less than the laboratory reporting level of 12 milligrams per liter (mg/L) in Wolf Run, a pristine forested watershed, to 202 mg/L in Bottle Run, a watershed with more development near Williamsport. Concentrations of the major ions ranged over at least one order of magnitude; chloride had the largest range from 0.3 to 45.4 mg/L, with nine samples exceeding the natural background level of about 5 mg/L, most likely because of the application of deicing salt to roads. Trace constituents were even more variable, with concentrations for aluminum, cobalt, and manganese ranging over almost four orders of magnitude. Samples from Red Run and Dutchman Run, watersheds that experienced past coal mining activity, had concentrations of 11 metals that were significantly greater than in samples collected from other streams. Samples from Bottle Run, the tributary of Lycoming Creek nearest to Williamsport, contained elevated levels of chloride and boron, constituents associated with urban development.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175154","collaboration":"Prepared in cooperation with the Williamsport Municipal Water Authority","usgsCitation":"Risser, D.W., and Conlon, M.D., 2018, Surface-water quality in the Lycoming Creek watershed, north-central Pennsylvania, August 1–3, 2011: U.S. Geological Survey Scientific Investigations Report 2017–5154, 77 p., https://doi.org/10.3133/sir20175154.","productDescription":"ix, 77 p.","numberOfPages":"91","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-043927","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":354219,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5154/sir20175154.pdf","text":"Report","size":"8.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5154"},{"id":354218,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5154/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Lycoming Creek Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.1667,\n 41.2\n ],\n [\n -76.6667,\n 41.2\n ],\n [\n -76.6667,\n 41.6667\n ],\n [\n -77.1667,\n 41.6667\n ],\n [\n -77.1667,\n 41.2\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA. 17070
Floodplains provide critical ecosystem services to local and downstream communities by retaining floodwaters, sediments, and nutrients. The dynamic nature of floodplains is such that these areas can both accumulate sediment and nutrients through deposition, and export material downstream through erosion. Therefore, estimating floodplain sediment and nutrient retention should consider the net flux of both depositional and erosive processes. An ecosystem services framework was used to quantify and value the sediment and nutrient ecosystem service provided by floodplains in the Difficult Run watershed, a small (151 km2) suburban watershed located in the Piedmont of Virginia (USA). A sediment balance was developed for Difficult Run and two nested watersheds. The balance included upland sediment delivery to streams, stream bank flux, floodplain flux, and stream load. Upland sediment delivery was estimated using geospatial datasets and a modified Revised Universal Soil Loss Equation. Predictive models were developed to extrapolate field measurements of the flux of sediment, sediment-bound nitrogen (N), and sediment-bound phosphorus (P) from stream banks and floodplains to 3232 delineated stream segments in the study area. A replacement cost approach was used to estimate the economic value of the sediment and nutrient retention ecosystem service based on estimated net stream bank and floodplain flux of sediment-bound N for all streams in the study area. Results indicated the net fluvial fluxes of sediment, sediment-bound N, and sediment-bound P were −10,439 Mg yr−1 (net export), 57,300 kg-N yr−1(net trapping), and 98 kg-P yr−1(net trapping), respectively. For sediment, floodplain retention was offset by substantial losses from stream bank erosion, particularly in headwater catchments, resulting in a net export of sediment. Nutrient retention in the floodplain exceeded that lost through stream bank erosion resulting in net retention of nutrients (TN and TP). Using a conservative cost estimate of \\$12.69 (USD) per kilogram of nitrogen, derived from wastewater treatment costs, the estimated annual value for sediment and nutrient retention on Difficult Run floodplains was \\$727,226 ± 194,220 USD/yr. Values and differences in floodplain nitrogen retention among stream reaches can be used to target areas for floodplain conservation and stream restoration. The methods presented are scalable and transferable to other areas if appropriate datasets are available for validation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2018.05.013","usgsCitation":"Hopkins, K.G., Noe, G.E., Franco, F., Pindilli, E., Gordon, S.E., Metes, M.J., Claggett, P.R., Gellis, A.C., Hupp, C.R., and Hogan, D.M., 2018, A method to quantify and value floodplain sediment and nutrient retention ecosystem services: Journal of Environmental Management, v. 220, p. 65-76, https://doi.org/10.1016/j.jenvman.2018.05.013.","productDescription":"12 p.","startPage":"65","endPage":"76","ipdsId":"IP-092758","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":354277,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.4167,\n 38.85\n ],\n [\n -77.2167,\n 38.85\n ],\n [\n -77.2167,\n 39\n ],\n [\n -77.4167,\n 39\n ],\n [\n -77.4167,\n 38.85\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"220","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6b9e4b0da30c1bfbd6c","contributors":{"authors":[{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":735132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":735133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franco, Fabiano 0000-0002-4849-3057","orcid":"https://orcid.org/0000-0002-4849-3057","contributorId":204834,"corporation":false,"usgs":true,"family":"Franco","given":"Fabiano","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":735134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":735135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gordon, Stephanie E. 0000-0002-6292-2612 sgordon@usgs.gov","orcid":"https://orcid.org/0000-0002-6292-2612","contributorId":200931,"corporation":false,"usgs":true,"family":"Gordon","given":"Stephanie","email":"sgordon@usgs.gov","middleInitial":"E.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":735136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Metes, Marina J. 0000-0002-6797-9837","orcid":"https://orcid.org/0000-0002-6797-9837","contributorId":204835,"corporation":false,"usgs":true,"family":"Metes","given":"Marina","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":735137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Claggett, Peter R. 0000-0002-5335-2857 pclaggett@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":176287,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","email":"pclaggett@usgs.gov","middleInitial":"R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":735138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":735139,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":735140,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":131137,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":735141,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70197076,"text":"70197076 - 2018 - Assessing angler effort, catch, and harvest and the efficacy of a use-estimation system on a multi-lake fishery in middle Georgia","interactions":[],"lastModifiedDate":"2018-08-31T10:58:50","indexId":"70197076","displayToPublicDate":"2018-05-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing angler effort, catch, and harvest and the efficacy of a use-estimation system on a multi-lake fishery in middle Georgia","docAbstract":"Creel surveys are valuable tools in recreational fisheries management. However, multiple‐impoundment fisheries of complex spatial structure can complicate survey designs and pose logistical challenges for management agencies. Marben Public Fishing Area in Mansfield, GA is a multi‐impoundment fishery with many access points, and these features prevent or complicate use of traditional on‐site contact methods such as standard roving‐ or access‐point designs because many anglers may be missed during the survey process. Therefore, adaptation of a traditional survey method is often required for sampling this special case of multi‐lake fisheries to develop an accurate fishery profile. Accordingly, a modified non‐uniform probability roving creel survey was conducted at the Marben PFA during 2013 to estimate fishery characteristics relating to fishing effort, catch, and fish harvest. Monthly fishing effort averaged 7,523 angler‐hours (h) (SD = 5,956) and ranged from 1,301 h (SD = 562) in December to 21,856 h (SD = 5909) in May. A generalized linear mixed model was used to determine that angler catch and harvest rates were significantly higher in the spring and summer (all p < 0.05) than in the other seasons, but did not vary by fishing location. Our results demonstrate the utility of modifying existing creel methodology for monitoring small, spatially complex, intensely managed impoundments that support quality recreational fisheries and provide a template for the assessment and management of similar regional fisheries.
","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10179","usgsCitation":"Roop, H.J., Poudyal, N.C., and Jennings, C.A., 2018, Assessing angler effort, catch, and harvest and the efficacy of a use-estimation system on a multi-lake fishery in middle Georgia: North American Journal of Fisheries Management, v. 38, no. 4, p. 833-841, https://doi.org/10.1002/nafm.10179.","productDescription":"9 p.","startPage":"833","endPage":"841","ipdsId":"IP-086163","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","volume":"38","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-25","publicationStatus":"PW","scienceBaseUri":"5afee6b8e4b0da30c1bfbd60","contributors":{"authors":[{"text":"Roop, Hunter J.","contributorId":204959,"corporation":false,"usgs":false,"family":"Roop","given":"Hunter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poudyal, Neelam C.","contributorId":204960,"corporation":false,"usgs":false,"family":"Poudyal","given":"Neelam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":735564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735489,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197108,"text":"70197108 - 2018 - Occupancy modeling of Parnassius clodius butterfly populations in Grand Teton National Park, Wyoming","interactions":[],"lastModifiedDate":"2018-05-29T13:24:26","indexId":"70197108","displayToPublicDate":"2018-05-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2356,"text":"Journal of Insect Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Occupancy modeling of Parnassius clodius butterfly populations in Grand Teton National Park, Wyoming","title":"Occupancy modeling of Parnassius clodius butterfly populations in Grand Teton National Park, Wyoming","docAbstract":"Estimating occupancy patterns and identifying vegetation characteristics that influence the presence of butterfly species are essential approaches needed for determining how habitat changes may affect butterfly populations in the future. The montane butterfly species, Parnassius clodius, was investigated to identify patterns of occupancy relating to habitat variables in Grand Teton National Park and Bridger-Teton National Forest, Wyoming, United States. A series of presence–absence surveys were conducted in 2013 in 41 mesic to xeric montane meadows that were considered suitable habitat for P. clodius during their flight season (June–July) to estimate occupancy (ψ) and detection probability (p). According to the null constant parameter model, P. clodius had high occupancy of ψ = 0.78 ± 0.07 SE and detection probability of p = 0.75 ± 0.04 SE. In models testing covariates, the most important habitat indicator for the occupancy of P. clodius was a strong negative association with big sagebrush (Artemisia tridentata; β = − 21.39 ± 21.10 SE) and lupine (Lupinus spp.; β = − 20.03 ± 21.24 SE). While P. clodius was found at a high proportion of meadows surveyed, the presence of A. tridentata may limit their distribution within montane meadows at a landscape scale because A. tridentata dominates a large percentage of the montane meadows in our study area. Future climate scenarios predicted for high elevations globally could cause habitat shifts and put populations of P. clodius and similar non-migratory butterfly populations at risk.
","language":"English","publisher":"Springer","doi":"10.1007/s10841-018-0060-1","usgsCitation":"Szcodronski, K., Debinski, D.M., and Klaver, R.W., 2018, Occupancy modeling of Parnassius clodius butterfly populations in Grand Teton National Park, Wyoming: Journal of Insect Conservation, v. 22, no. 2, p. 267-276, https://doi.org/10.1007/s10841-018-0060-1.","productDescription":"10 p.","startPage":"267","endPage":"276","ipdsId":"IP-091833","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468755,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10841-018-0060-1","text":"Publisher Index Page"},{"id":354260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Grand Teton National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.94818115234375,\n 43.560491112629286\n ],\n [\n -110.3466796875,\n 43.560491112629286\n ],\n [\n -110.3466796875,\n 44.12702800650004\n ],\n [\n -110.94818115234375,\n 44.12702800650004\n ],\n [\n -110.94818115234375,\n 43.560491112629286\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-03","publicationStatus":"PW","scienceBaseUri":"5afee6b7e4b0da30c1bfbd58","contributors":{"authors":[{"text":"Szcodronski, Kimberly E.","contributorId":199591,"corporation":false,"usgs":false,"family":"Szcodronski","given":"Kimberly E.","affiliations":[],"preferred":false,"id":735669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Debinski, Diane M.","contributorId":25361,"corporation":false,"usgs":true,"family":"Debinski","given":"Diane","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735618,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197092,"text":"70197092 - 2018 - Spatial variability of sediment transport processes over intratidal and subtidal timescales within a fringing coral reef system","interactions":[],"lastModifiedDate":"2021-03-18T17:13:34.860263","indexId":"70197092","displayToPublicDate":"2018-05-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variability of sediment transport processes over intratidal and subtidal timescales within a fringing coral reef system","docAbstract":"Sediment produced on fringing coral reefs that is transported along the bed or in suspension affects ecological reef communities as well as the morphological development of the reef, lagoon, and adjacent shoreline. This study quantified the physical process contribution and relative importance of sea‐swell waves, infragravity waves, and mean currents to the spatial and temporal variability of sediment in suspension. Estimates of bed shear stresses demonstrate that sea‐swell waves are the key driver of the suspended sediment concentration (SSC) variability spatially (reef flat, lagoon, and channels) but cannot fully describe the SSC variability alone. The comparatively small but statistically significant contribution to the bed shear stress by infragravity waves and currents, along with the spatial availability of sediment of a suitable size and volume, is also important. Although intratidal variability in SSC occurs in the different reef zones, the majority of the variability occurs over longer slowly varying (subtidal) timescales, which is related to the arrival of large swell waves at a reef location. The predominant flow pathway, which can transport suspended sediment, consists of cross‐reef flow across the reef flat that diverges in the lagoon and returns offshore through channels. This pathway is primarily due to subtidal variations in wave‐driven flows but can also be driven alongshore by wind stresses when the incident waves are small. Higher frequency (intratidal) current variability also occurs due to both tidal flows and variations in the water depth that influence wave transmission across the reef and wave‐driven currents.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JF004468","usgsCitation":"Pomeroy, A., Lowe, R.J., Ghisalberti, M., Winter, G., Storlazzi, C., and Cuttler, M.V., 2018, Spatial variability of sediment transport processes over intratidal and subtidal timescales within a fringing coral reef system: Journal of Geophysical Research F: Earth Surface, v. 123, no. 5, p. 1013-1034, https://doi.org/10.1002/2017JF004468.","productDescription":"22 p.","startPage":"1013","endPage":"1034","ipdsId":"IP-090065","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460919,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017jf004468","text":"External Repository"},{"id":354266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","state":"Western Australia","otherGeospatial":"Ningaloo Reef, Tantabiddi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 113.785400390625,\n -21.999081858361517\n ],\n [\n 114.02984619140625,\n -21.999081858361517\n ],\n [\n 114.02984619140625,\n -21.71995560384493\n ],\n [\n 113.785400390625,\n -21.71995560384493\n ],\n [\n 113.785400390625,\n -21.999081858361517\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-17","publicationStatus":"PW","scienceBaseUri":"5afee6b8e4b0da30c1bfbd5e","contributors":{"authors":[{"text":"Pomeroy, Andrew","contributorId":182033,"corporation":false,"usgs":false,"family":"Pomeroy","given":"Andrew","affiliations":[],"preferred":false,"id":735673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Ryan J.","contributorId":152265,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":735674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ghisalberti, Marco","contributorId":182034,"corporation":false,"usgs":false,"family":"Ghisalberti","given":"Marco","email":"","affiliations":[],"preferred":false,"id":735675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winter, Gundula","contributorId":204988,"corporation":false,"usgs":false,"family":"Winter","given":"Gundula","email":"","affiliations":[],"preferred":false,"id":735676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":735677,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cuttler, Michael V. W.","contributorId":177844,"corporation":false,"usgs":false,"family":"Cuttler","given":"Michael","email":"","middleInitial":"V. W.","affiliations":[],"preferred":false,"id":735678,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197058,"text":"70197058 - 2018 - Factors regulating year‐class strength of Silver Carp throughout the Mississippi River basin","interactions":[],"lastModifiedDate":"2018-05-29T13:20:07","indexId":"70197058","displayToPublicDate":"2018-05-17T00:00:00","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":"Factors regulating year‐class strength of Silver Carp throughout the Mississippi River basin","docAbstract":"Recruitment of many fish populations is inherently highly variable inter‐annually. However, this variability can be synchronous at broad geographic scales due to fish dispersal and climatic conditions. Herein, we investigated recruitment synchrony of Silver Carp Hypophthalmichthys molitrix across the Mississippi River basin. Year‐class strength (YCS) and synchrony of nine populations (max linear distance = 806.4 km) was indexed using catch‐curve residuals correlated between sites and related to local and regional climatic conditions. Overall, Silver Carp YCS was not synchronous among populations, suggesting local environmental factors are more important determinants of YCS than large‐scale environmental factors. Variation in Silver Carp YCS was influenced by river base flow and discharge variability at each site, indicating that extended periods of static local discharge benefit YCS. Further, river discharge and air temperature were correlated and synchronized among sites, but only similarities in river discharge was correlated with Silver Carp population synchrony, indicating that similarities in discharge (i.e., major flood) among sites can positively synchronize Silver Carp YCS. The positive correlation between Silver Carp YCS and river discharge synchrony suggests that regional flood regimes are an important force determining the degree of population synchrony among Mississippi River Silver Carp populations.
","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10054","usgsCitation":"Sullivan, C.J., Weber, M.J., Pierce, C., Wahl, D., Phelps, Q.E., Camacho, C.A., and Colombo, R.E., 2018, Factors regulating year‐class strength of Silver Carp throughout the Mississippi River basin: Transactions of the American Fisheries Society, v. 147, no. 3, p. 541-553, https://doi.org/10.1002/tafs.10054.","productDescription":"13 p.","startPage":"541","endPage":"553","ipdsId":"IP-083483","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468752,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1274&context=nrem_pubs","text":"External Repository"},{"id":354271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River basin","volume":"147","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-22","publicationStatus":"PW","scienceBaseUri":"5afee6b9e4b0da30c1bfbd64","contributors":{"authors":[{"text":"Sullivan, Christopher J.","contributorId":204990,"corporation":false,"usgs":false,"family":"Sullivan","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weber, Michael J.","contributorId":83799,"corporation":false,"usgs":true,"family":"Weber","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wahl, David H.","contributorId":85532,"corporation":false,"usgs":true,"family":"Wahl","given":"David H.","affiliations":[],"preferred":false,"id":735694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phelps, Quinton E.","contributorId":173401,"corporation":false,"usgs":false,"family":"Phelps","given":"Quinton","email":"","middleInitial":"E.","affiliations":[{"id":27224,"text":"Big Rivers and Wetlands Field Station, Missouri Department of Conservation, Jackson, MO","active":true,"usgs":false}],"preferred":false,"id":735695,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Camacho, Carlos A.","contributorId":204991,"corporation":false,"usgs":false,"family":"Camacho","given":"Carlos","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735696,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Colombo, Robert E.","contributorId":204992,"corporation":false,"usgs":false,"family":"Colombo","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":735697,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196934,"text":"70196934 - 2018 - Integrating real-time subsurface hydrologic monitoring with empirical rainfall thresholds to improve landslide early warning","interactions":[],"lastModifiedDate":"2018-09-10T11:32:27","indexId":"70196934","displayToPublicDate":"2018-05-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Integrating real-time subsurface hydrologic monitoring with empirical rainfall thresholds to improve landslide early warning","docAbstract":"Early warning for rainfall-induced shallow landsliding can help reduce fatalities and economic losses. Although these commonly occurring landslides are typically triggered by subsurface hydrological processes, most early warning criteria rely exclusively on empirical rainfall thresholds and other indirect proxies for subsurface wetness. We explore the utility of explicitly accounting for antecedent wetness by integrating real-time subsurface hydrologic measurements into landslide early warning criteria. Our efforts build on previous progress with rainfall thresholds, monitoring, and numerical modeling along the landslide-prone railway corridor between Everett and Seattle, Washington, USA. We propose a modification to a previously established recent versus antecedent (RA) cumulative rainfall thresholds by replacing the antecedent 15-day rainfall component with an average saturation observed over the same timeframe. We calculate this antecedent saturation with real-time telemetered measurements from five volumetric water content probes installed in the shallow subsurface within a steep vegetated hillslope. Our hybrid rainfall versus saturation (RS) threshold still relies on the same recent 3-day rainfall component as the existing RA thresholds, to facilitate ready integration with quantitative precipitation forecasts. During the 2015–2017 monitoring period, this RS hybrid approach has an increase of true positives and a decrease of false positives and false negatives relative to the previous RA rainfall-only thresholds. We also demonstrate that alternative hybrid threshold formats could be even more accurate, which suggests that further development and testing during future landslide seasons is needed. The positive results confirm that accounting for antecedent wetness conditions with direct subsurface hydrologic measurements can improve thresholds for alert systems and early warning of rainfall-induced shallow landsliding.
","language":"English","publisher":"Springer","doi":"10.1007/s10346-018-0995-z","usgsCitation":"Mirus, B.B., Becker, R.E., Baum, R.L., and Smith, J.B., 2018, Integrating real-time subsurface hydrologic monitoring with empirical rainfall thresholds to improve landslide early warning: Landslides, v. 15, no. 10, p. 1909-1919, https://doi.org/10.1007/s10346-018-0995-z.","productDescription":"11 p.","startPage":"1909","endPage":"1919","ipdsId":"IP-093501","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":354283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-15","publicationStatus":"PW","scienceBaseUri":"5afee6bae4b0da30c1bfbd6e","contributors":{"authors":[{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":735057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Becker, Rachel E. 0000-0002-2546-1706","orcid":"https://orcid.org/0000-0002-2546-1706","contributorId":204809,"corporation":false,"usgs":false,"family":"Becker","given":"Rachel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":735058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":735059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":735060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197075,"text":"70197075 - 2018 - A mechanistic assessment of seasonal microhabitat selection by drift-feeding rainbow trout Oncorhynchus mykiss in a southwestern headwater stream","interactions":[],"lastModifiedDate":"2018-05-18T09:56:20","indexId":"70197075","displayToPublicDate":"2018-05-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A mechanistic assessment of seasonal microhabitat selection by drift-feeding rainbow trout Oncorhynchus mykiss in a southwestern headwater stream","title":"A mechanistic assessment of seasonal microhabitat selection by drift-feeding rainbow trout Oncorhynchus mykiss in a southwestern headwater stream","docAbstract":"The positioning of fishes within a riverscape is dependent on the proximity of complementary habitats. In this study, foraging and non-foraging habitat were quantified monthly over an entire year for a rainbow trout (Oncorhynchus mykiss) population in an isolated, headwater stream in southcentral New Mexico. The stream follows a seasonal thermal and hydrologic pattern typical for a Southwestern stream and was deemed suitable for re-introduction of the native and close relative, Rio Grande cutthroat trout (O. clarkii virginalis). However, uncertainty associated with limited habitat needed to be resolved if repatriation of the native fish was to be successful. Habitat was evaluated using resource selection functions with a mechanistic drift-foraging model to explain trout distributions. Macroinvertebrate drift was strongly season- and temperature-dependent (lower in winter and spring, higher in summer and fall). Models identified stream depth as the most limiting factor for habitat selection across seasons and size-classes. Additionally, positions closer to cover were selected during the winter by smaller size-classes (0, 1, 2), while net energy intake was important during the spring for most size-classes (0, 1, 2, 3). Drift-foraging models identified that 81% of observed trout selected positions that could meet maintenance levels throughout the year. Moreover, 40% of selected habitats could sustain maximum growth. Stream positions occupied by rainbow trout were more energetically profitable than random sites regardless of season or size-class. Larger size-classes (3, 4+) were energetically more limited throughout the year than were smaller size-classes. This research suggests that habitat in the form of deep pools is of paramount importance for rainbow trout or native cutthroat trout.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-017-0696-9","usgsCitation":"Kalb, B.W., Huntsman, B.M., Caldwell, C.A., and Bozek, M.A., 2018, A mechanistic assessment of seasonal microhabitat selection by drift-feeding rainbow trout Oncorhynchus mykiss in a southwestern headwater stream: Environmental Biology of Fishes, v. 202, no. 2, p. 257-273, https://doi.org/10.1007/s10641-017-0696-9.","productDescription":"16 p.","startPage":"257","endPage":"273","ipdsId":"IP-085358","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.314453125,\n 31.89621446335144\n ],\n [\n -104.0185546875,\n 31.89621446335144\n ],\n [\n -104.0185546875,\n 34.57895241036948\n ],\n [\n -107.314453125,\n 34.57895241036948\n ],\n [\n -107.314453125,\n 31.89621446335144\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"202","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-30","publicationStatus":"PW","scienceBaseUri":"5afee6b9e4b0da30c1bfbd62","contributors":{"authors":[{"text":"Kalb, Bradley W.","contributorId":201490,"corporation":false,"usgs":false,"family":"Kalb","given":"Bradley","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":735680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntsman, Brock M. 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":166748,"corporation":false,"usgs":false,"family":"Huntsman","given":"Brock","email":"","middleInitial":"M.","affiliations":[{"id":24497,"text":"West Virginia University, Morgantown, WV","active":true,"usgs":false}],"preferred":false,"id":735681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bozek, Michael A.","contributorId":51030,"corporation":false,"usgs":true,"family":"Bozek","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735682,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197109,"text":"70197109 - 2018 - Population trends in Vermivora warblers are linked to strong migratory connectivity","interactions":[],"lastModifiedDate":"2018-05-18T09:52:17","indexId":"70197109","displayToPublicDate":"2018-05-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"displayTitle":" Population trends in Vermivora warblers are linked to strong migratory connectivity","title":" Population trends in Vermivora warblers are linked to strong migratory connectivity","docAbstract":"Migratory species can experience limiting factors at different locations and during different periods of their annual cycle. In migratory birds, these factors may even occur in different hemispheres. Therefore, identifying the distribution of populations throughout their annual cycle (i.e., migratory connectivity) can reveal the complex ecological and evolutionary relationships that link species and ecosystems across the globe and illuminate where and how limiting factors influence population trends. A growing body of literature continues to identify species that exhibit weak connectivity wherein individuals from distinct breeding areas co-occur during the nonbreeding period. A detailed account of a broadly distributed species exhibiting strong migratory connectivity in which nonbreeding isolation of populations is associated with differential population trends remains undescribed. Here, we present a range-wide assessment of the nonbreeding distribution and migratory connectivity of two broadly dispersed Nearctic-Neotropical migratory songbirds. We used geolocators to track the movements of 70 Vermivora warblers from sites spanning their breeding distribution in eastern North America and identified links between breeding populations and nonbreeding areas. Unlike blue-winged warblers (Vermivora cyanoptera), breeding populations of golden-winged warblers (Vermivora chrysoptera) exhibited strong migratory connectivity, which was associated with historical trends in breeding populations: stable for populations that winter in Central America and declining for those that winter in northern South America.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1718985115","usgsCitation":"Kramer, G.R., Andersen, D.E., Buehler, D.A., Wood, P.B., Peterson, S.M., Lehman, J.A., Aldinger, K.R., Bulluck, L.P., Harding, S.R., Jones, J.A., Loegering, J.P., Smalling, C.G., Vallender, R., and Streby, H.M., 2018, Population trends in Vermivora warblers are linked to strong migratory connectivity: Proceedings of the National Academy of Sciences of the United States of America, v. 115, no. 14, p. E3192-E3200, https://doi.org/10.1073/pnas.1718985115.","productDescription":"9 p.","startPage":"E3192","endPage":"E3200","ipdsId":"IP-092348","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468754,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1718985115","text":"External Repository"},{"id":354256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"14","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-26","publicationStatus":"PW","scienceBaseUri":"5afee6b6e4b0da30c1bfbd56","contributors":{"authors":[{"text":"Kramer, Gunnar R.","contributorId":94184,"corporation":false,"usgs":false,"family":"Kramer","given":"Gunnar","email":"","middleInitial":"R.","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":735655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buehler, David A.","contributorId":176238,"corporation":false,"usgs":false,"family":"Buehler","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":735656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Sean M.","contributorId":9354,"corporation":false,"usgs":false,"family":"Peterson","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":735657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lehman, Justin A.","contributorId":166944,"corporation":false,"usgs":false,"family":"Lehman","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":735658,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aldinger, Kyle R.","contributorId":171892,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":735659,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bulluck, Lesley P.","contributorId":204987,"corporation":false,"usgs":false,"family":"Bulluck","given":"Lesley","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":735660,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Harding, Sergio R.","contributorId":198906,"corporation":false,"usgs":false,"family":"Harding","given":"Sergio","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735661,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jones, John A.","contributorId":200310,"corporation":false,"usgs":false,"family":"Jones","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735662,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Loegering, John P.","contributorId":166933,"corporation":false,"usgs":false,"family":"Loegering","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":33353,"text":"University of Minnesota, Crookston","active":true,"usgs":false}],"preferred":false,"id":735663,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smalling, Curtis G.","contributorId":191724,"corporation":false,"usgs":false,"family":"Smalling","given":"Curtis","email":"","middleInitial":"G.","affiliations":[{"id":33352,"text":"Audubon North Carolina","active":true,"usgs":false}],"preferred":false,"id":735664,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Vallender, Rachel","contributorId":194966,"corporation":false,"usgs":false,"family":"Vallender","given":"Rachel","email":"","affiliations":[{"id":27312,"text":"Canadian Wildlife Service, Environment and Climate Change Canada, 6 Bruce Street, Mount","active":true,"usgs":false},{"id":34540,"text":"Canadian Museum of Nature","active":true,"usgs":false}],"preferred":false,"id":735665,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Streby, Henry M.","contributorId":11024,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":735666,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70197049,"text":"70197049 - 2018 - Raptor nest-site use in relation to the proximity of coalbed methane development","interactions":[],"lastModifiedDate":"2020-12-15T22:29:35.106187","indexId":"70197049","displayToPublicDate":"2018-05-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":771,"text":"Animal Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Raptor nest-site use in relation to the proximity of coalbed methane development","docAbstract":"Raptor nest–site use in relation to the proximity of coalbed–methane development. Energy development such as coalbed–methane (CBM) extraction is a major land use with largely unknown consequences for many animal species. Some raptor species may be especially vulnerable to habitat changes due to energy development given their ecological requirements and population trajectories. Using 12,977 observations of 3,074 nests of 12 raptor species across nine years (2003–2011) in the Powder River Basin, Wyoming, USA, we evaluated relationships between raptor nest–site use and CBM development. Our objectives were to determine temporal trends in nest–use rates, and whether nest–site use was related to the proximity of CBM development. Across the study area, nest–use rates varied across species and years in a non–linear fashion. We developed a novel randomization test to assess differences in use between nests at developed and undeveloped sites, while controlling for annual variation in nest–site use. Red–tailed hawks (Buteo jamaicensis), burrowing owls (Athene cunicularia), and long–eared owls (Asio otus) used nests in undeveloped areas more than nests in developed areas (i.e. nests near CBM development). Differences between development groups were equivocal for the remaining nine species; however, we caution that we likely had lower statistical power to detect differences for rarer species. Our findings suggest potential avoidance of nesting in areas near CBM development by some species and reveal that CBM effects may be fairly consistent across distances between 400–2,415 m from wells. Future work should consider habitat preferences and fitness outcomes, and control for other key factors such as local prey availability, raptor densities, and weather.
","language":"English","publisher":"Museu de Ciències Naturals de Barcelona","doi":"10.32800/abc.2018.41.0227","usgsCitation":"Carlile, J., Sanders, L.E., Chalfoun, A.D., and Gerow, K., 2018, Raptor nest-site use in relation to the proximity of coalbed methane development: Animal Biodiversity and Conservation, v. 41, no. 2, p. 227-243, https://doi.org/10.32800/abc.2018.41.0227.","productDescription":"17 p.","startPage":"227","endPage":"243","ipdsId":"IP-079243","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.32800/abc.2018.41.0227","text":"Publisher Index Page"},{"id":354276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Powder River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.87451171875,\n 44.99588261816546\n ],\n [\n -108.43505859374999,\n 44.55916341529182\n ],\n [\n -107.75390625,\n 44.22945656830167\n ],\n [\n -107.60009765625,\n 43.96119063892024\n ],\n [\n -107.46826171874999,\n 43.75522505306928\n ],\n [\n -107.666015625,\n 43.40504748787035\n ],\n [\n -108.25927734375,\n 42.71473218539458\n ],\n [\n -104.56787109374999,\n 42.69858589169842\n ],\n [\n -104.5458984375,\n 44.98034238084973\n ],\n [\n -108.87451171875,\n 44.99588261816546\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6b9e4b0da30c1bfbd68","contributors":{"authors":[{"text":"Carlile, J.D.","contributorId":205000,"corporation":false,"usgs":false,"family":"Carlile","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":735713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders, Lindsey E.","contributorId":173998,"corporation":false,"usgs":false,"family":"Sanders","given":"Lindsey","email":"","middleInitial":"E.","affiliations":[{"id":6656,"text":"University of Wyoming, Renewable Resources","active":true,"usgs":false}],"preferred":false,"id":735714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":735373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerow, K.G.","contributorId":17003,"corporation":false,"usgs":true,"family":"Gerow","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":735715,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197113,"text":"70197113 - 2018 - Integrating authentic scientific research in a conservation course–based undergraduate research experience","interactions":[],"lastModifiedDate":"2018-05-18T09:48:24","indexId":"70197113","displayToPublicDate":"2018-05-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2836,"text":"Natural Sciences Education","active":true,"publicationSubtype":{"id":10}},"title":"Integrating authentic scientific research in a conservation course–based undergraduate research experience","docAbstract":"Course-based undergraduate research experiences (CUREs) have been developed to overcome barriers including students in research. However, there are few examples of CUREs that take place in a conservation and natural resource context with students engaging in field research. Here, we highlight the development of a conservation-focused CURE integrated to a research program, research benefits, student self-assessment of learning, and perception of the CURE. With the additional data, researchers were able to refine species distribution models and facilitate management decisions. Most students reported gains in their scientific skills, felt they had engaged in meaningful, real-world research. In student reflections on how this experience helped clarify their professional intentions, many reported being more likely to enroll in graduate programs and seek employment related to science. Also interesting was all students reported being more likely to talk with friends, family, or the public about wildlife conservation issues after participating, indicating that courses like this can have effects beyond the classroom, empowering students to be advocates and translators of science. Field-based, conservation-focused CUREs can create meaningful conservation and natural resource experiences with authentic scientific teaching practices.
","language":"English","publisher":"American Society of Agronomy","doi":"10.4195/nse2018.02.0004","usgsCitation":"Sorensen, A.E., Corral, L., Dauer, J.M., and Fontaine, J.J., 2018, Integrating authentic scientific research in a conservation course–based undergraduate research experience: Natural Sciences Education, v. 47, no. 1, e180004, https://doi.org/10.4195/nse2018.02.0004.","productDescription":"e180004","ipdsId":"IP-096648","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-12","publicationStatus":"PW","scienceBaseUri":"5afee6b5e4b0da30c1bfbd4e","contributors":{"authors":[{"text":"Sorensen, Amanda E.","contributorId":204977,"corporation":false,"usgs":false,"family":"Sorensen","given":"Amanda","email":"","middleInitial":"E.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":735774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corral, Lucia","contributorId":166717,"corporation":false,"usgs":false,"family":"Corral","given":"Lucia","email":"","affiliations":[],"preferred":false,"id":735775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dauer, Jenny M.","contributorId":50443,"corporation":false,"usgs":true,"family":"Dauer","given":"Jenny","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fontaine, Joseph J. 0000-0002-7639-9156 jfontaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-9156","contributorId":3820,"corporation":false,"usgs":true,"family":"Fontaine","given":"Joseph","email":"jfontaine@usgs.gov","middleInitial":"J.","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":735777,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197111,"text":"70197111 - 2018 - A parasitism-mutualism-predation model consisting of crows, cuckoos and cats with stage-structure and maturation delays on crows and cuckoos","interactions":[],"lastModifiedDate":"2018-05-18T09:50:27","indexId":"70197111","displayToPublicDate":"2018-05-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2475,"text":"Journal of Theoretical Biology","active":true,"publicationSubtype":{"id":10}},"title":"A parasitism-mutualism-predation model consisting of crows, cuckoos and cats with stage-structure and maturation delays on crows and cuckoos","docAbstract":"In this paper, a parasitism-mutualism-predation model is proposed to investigate the dynamics of multi-interactions among cuckoos, crows and cats with stage-structure and maturation time delays on cuckoos and crows. The crows permit the cuckoos to parasitize their nestlings (eggs) on the crow chicks (eggs). In return, the cuckoo nestlings produce a malodorous cloacal secretion to protect the crow chicks from predation by the cats, which is apparently beneficial to both the crow and cuckoo population. The multi-interactions, i.e., parasitism and mutualism between the cuckoos (nestlings) and crows (chicks), predation between the cats and crow chicks are modeled both by Holling-type II and Beddington-DeAngelis-type functional responses. The existence of positive equilibria of three subsystems of the model are discussed. The criteria for the global stability of the trivial equilibrium are established by the Krein-Rutman Theorem and other analysis methods. Moreover, the threshold dynamics for the coexistence and weak persistence of the model are obtained, and we show, both analytically and numerically, that the stabilities of the interior equilibria may change with the increasing maturation time delays. We find there exists an evident difference in the dynamical properties of the parasitism-mutualism-predation model based on whether or not we consider the effects of stage-structure and maturation time delays on cuckoos and crows. Inclusion of stage structure results in many varied dynamical complexities which are difficult to encompass without this inclusion.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtbi.2018.02.028","usgsCitation":"Luo, Y., Zhang, L., Teng, Z., and DeAngelis, D., 2018, A parasitism-mutualism-predation model consisting of crows, cuckoos and cats with stage-structure and maturation delays on crows and cuckoos: Journal of Theoretical Biology, v. 446, p. 212-228, https://doi.org/10.1016/j.jtbi.2018.02.028.","productDescription":"17 p.","startPage":"212","endPage":"228","ipdsId":"IP-095644","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jtbi.2018.02.028","text":"Publisher Index Page"},{"id":354251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"446","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6b5e4b0da30c1bfbd52","contributors":{"authors":[{"text":"Luo, Yantao","contributorId":204972,"corporation":false,"usgs":false,"family":"Luo","given":"Yantao","email":"","affiliations":[{"id":37017,"text":"College of Mathematics and System Sciences, Xinjiang University","active":true,"usgs":false}],"preferred":false,"id":735623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Long","contributorId":204973,"corporation":false,"usgs":false,"family":"Zhang","given":"Long","email":"","affiliations":[{"id":37017,"text":"College of Mathematics and System Sciences, Xinjiang University","active":true,"usgs":false}],"preferred":false,"id":735624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teng, Zhidong","contributorId":204974,"corporation":false,"usgs":false,"family":"Teng","given":"Zhidong","email":"","affiliations":[{"id":37017,"text":"College of Mathematics and System Sciences, Xinjiang University","active":true,"usgs":false}],"preferred":false,"id":735625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":2860,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":735622,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197096,"text":"70197096 - 2018 - Body size and lean mass of brown bears across and within four diverse ecosystems","interactions":[],"lastModifiedDate":"2018-05-20T18:31:14","indexId":"70197096","displayToPublicDate":"2018-05-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2515,"text":"Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Body size and lean mass of brown bears across and within four diverse ecosystems","docAbstract":"Variation in body size across populations of brown bears (Ursus arctos) is largely a function of the availability and quality of nutritional resources while plasticity within populations reflects utilized niche width with implications for population resiliency. We assessed skull size, body length, and lean mass of adult female and male brown bears in four Alaskan study areas that differed in climate, primary food resources, population density, and harvest regime. Full body-frame size, as evidenced by asymptotic skull size and body length, was achieved by 8 to 14 years of age across populations and sexes. Lean body mass of both sexes continued to increase throughout their life. Differences between populations existed for all morphological measures in both sexes, bears in ecosystems with abundant salmon were generally larger. Within all populations, broad variation was seen in body size measures of adults with females displaying roughly a 2-fold difference in lean mass and males showing a 3- to 4-fold difference. The high level of intraspecific variation seen across and within populations suggests the presence of multiple life-history strategies and niche variation relative to resource partitioning, risk tolerance or aversion, and competition. Further, this level of variation indicates broad potential to adapt to changes within a given ecosystem and across the species’ range.","language":"English","publisher":"Wiley","doi":"10.1111/jzo.12536","usgsCitation":"Hilderbrand, G., Gustine, D., Mangipane, B.A., Joly, K., Leacock, W., Mangipane, L.S., Erlenbach, J., Sorum, M., Cameron, M., Belant, J.L., and Cambier, T., 2018, Body size and lean mass of brown bears across and within four diverse ecosystems: Journal of Zoology, v. 305, no. 1, p. 53-62, https://doi.org/10.1111/jzo.12536.","productDescription":"10 p.","startPage":"53","endPage":"62","ipdsId":"IP-085059","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":468757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jzo.12536","text":"Publisher Index 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WTEB","active":true,"usgs":true}],"preferred":false,"id":735575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gustine, David","contributorId":200449,"corporation":false,"usgs":false,"family":"Gustine","given":"David","affiliations":[],"preferred":false,"id":735576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mangipane, Buck A.","contributorId":200450,"corporation":false,"usgs":false,"family":"Mangipane","given":"Buck","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Joly, Kyle","contributorId":53117,"corporation":false,"usgs":false,"family":"Joly","given":"Kyle","email":"","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":735578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leacock, William","contributorId":192123,"corporation":false,"usgs":false,"family":"Leacock","given":"William","affiliations":[],"preferred":false,"id":735579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mangipane, Lindsey S.","contributorId":200447,"corporation":false,"usgs":false,"family":"Mangipane","given":"Lindsey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erlenbach, Joy","contributorId":200750,"corporation":false,"usgs":false,"family":"Erlenbach","given":"Joy","affiliations":[],"preferred":false,"id":735581,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sorum, Mathew","contributorId":204962,"corporation":false,"usgs":false,"family":"Sorum","given":"Mathew","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":735582,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cameron, Matthew","contributorId":204963,"corporation":false,"usgs":false,"family":"Cameron","given":"Matthew","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":735583,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":735584,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cambier, Troy","contributorId":204964,"corporation":false,"usgs":false,"family":"Cambier","given":"Troy","email":"","affiliations":[{"id":37014,"text":"Chena River Aviation","active":true,"usgs":false}],"preferred":false,"id":735672,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70197094,"text":"70197094 - 2018 - Design considerations for estimating survival rates with standing age structures","interactions":[],"lastModifiedDate":"2018-05-17T13:03:10","indexId":"70197094","displayToPublicDate":"2018-05-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Design considerations for estimating survival rates with standing age structures","docAbstract":"Survival rate estimates are critical to understanding the dynamics and status of a population, and\nthey are often inferred from samples of the population’s age structure. A recently developed method uses time\nseries of standing age-structure data with information about population growth rate or fecundity to provide\nexplicit maximum likelihood estimators of age-specific survival rates, without assuming population stability or\nstationarity. We explored properties of these estimators and determined sample size requirements for the\nestimators to achieve desired levels of precision, limit bias, and limit the probability a rate will be inestimable or\nits estimate inadmissible (>1).We show that estimating combined rates for adjacent age classes is an effective\nmethod of overcoming sensitivity to sampling noise in situations where collecting a larger sample of data is not\nfeasible.","language":"English","publisher":"Wiley","doi":"10.1002/wsb.858","usgsCitation":"Taylor, R.L., and Udevitz, M.S., 2018, Design considerations for estimating survival rates with standing age structures: Wildlife Society Bulletin, v. 42, no. 1, p. 32-39, https://doi.org/10.1002/wsb.858.","productDescription":"8 p.","startPage":"32","endPage":"39","ipdsId":"IP-087500","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":468749,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doaj.org/article/4c029ee673ec49f1acfa3af7a5df9962","text":"Publisher Index Page"},{"id":354264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-14","publicationStatus":"PW","scienceBaseUri":"5afee6b7e4b0da30c1bfbd5c","contributors":{"authors":[{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":735565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":735566,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70197007,"text":"70197007 - 2018 - Generalist feeding strategies in Arctic freshwater fish: A mechanism for dealing with extreme environments","interactions":[],"lastModifiedDate":"2018-06-12T14:04:32","indexId":"70197007","displayToPublicDate":"2018-05-17T00:00:00","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":"Generalist feeding strategies in Arctic freshwater fish: A mechanism for dealing with extreme environments","docAbstract":"Generalist feeding strategies are favoured in stressful or variable environments where flexibility in ecological traits is beneficial. Species that feed across multiple habitat types and trophic levels may impart stability on food webs through the use of readily available, alternative energy pools. In lakes, generalist fish species may take advantage of spatially and temporally variable prey by consuming both benthic and pelagic prey to meet their energy demands. Using stomach content and stable isotope analyses, we examined the feeding habits of fish species in Alaska's Arctic Coastal Plain (ACP) lakes to determine the prevalence of generalist feeding strategies as a mechanism for persistence in extreme environments (e.g. low productivity, extreme cold and short growing season). Generalist and flexible feeding strategies were evident in five common fish species. Fish fed on benthic and pelagic (or nektonic) prey and across trophic levels. Three species were clearly omnivorous, feeding on fish and their shared invertebrate prey. Dietary differences based on stomach content analysis often exceeded 70%, and overlap in dietary niches based on shared isotopic space varied from zero to 40%. Metrics of community‐wide trophic structure varied with the number and identity of species involved and on the dietary overlap and niche size of individual fishes. Accumulation of energy from shared carbon sources by Arctic fishes creates redundancy in food webs, increasing likely resistance to perturbations or stochastic events. Therefore, the generalist and omnivorous feeding strategies employed by ACP fish may maintain energy flow and food web stability in extreme environments.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12391","usgsCitation":"Laske, S.M., Rosenberger, A.E., Wipfli, M.S., and Zimmerman, C.E., 2018, Generalist feeding strategies in Arctic freshwater fish: A mechanism for dealing with extreme environments: Ecology of Freshwater Fish, v. 27, no. 3, p. 767-784, https://doi.org/10.1111/eff.12391.","productDescription":"18 p.","startPage":"767","endPage":"784","ipdsId":"IP-088949","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":437892,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TQ60CH","text":"USGS data release","linkHelpText":"Fish Species Composition and Diet Information in Lakes of the Arctic Coastal Plain, Alaska, 2011-2013"},{"id":354274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-08","publicationStatus":"PW","scienceBaseUri":"5afee6b9e4b0da30c1bfbd6a","contributors":{"authors":[{"text":"Laske, Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":735291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":735293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":735290,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}