Spatial capture–recapture (SCR) is a relatively recent development in ecological statistics that provides a spatial context for estimating abundance and space use patterns, and improves inference about absolute population density. SCR has been applied to individual encounter data collected noninvasively using methods such as camera traps, hair snares, and scat surveys. Despite the widespread use of capture-based surveys to monitor amphibians and reptiles, there are few applications of SCR in the herpetological literature. We demonstrate the utility of the application of SCR for studies of reptiles and amphibians by analyzing capture–recapture data from Red-Backed Salamanders, Plethodon cinereus, collected using artificial cover boards. Using SCR to analyze spatial encounter histories of marked individuals, we found evidence that density differed little among four sites within the same forest (on average, 1.59 salamanders/m2) and that salamander detection probability peaked in early October (Julian day 278) reflecting expected surface activity patterns of the species. The spatial scale of detectability, a measure of space use, indicates that the home range size for this population of Red-Backed Salamanders in autumn was 16.89 m2. Surveying reptiles and amphibians using artificial cover boards regularly generates spatial encounter history data of known individuals, which can readily be analyzed using SCR methods, providing estimates of absolute density and inference about the spatial scale of habitat use.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Herpetologica","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Herpetologists' Leaguee","publisherLocation":"Chicago","doi":"10.1655/Herpetologica-D-15-00027","usgsCitation":"Sutherland, C., Munoz, D., Miller, D., and Grant, E., 2016, Spatial capture-recapture: a promising method for analyzing data collected using artificial cover objects: Herpetologica, v. 72, no. 1, p. 6-12, https://doi.org/10.1655/Herpetologica-D-15-00027.","productDescription":"7 p.","startPage":"6","endPage":"12","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068937","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471222,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.umass.edu/nrc_faculty_pubs/394","text":"External Repository"},{"id":318167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","city":"Ithaca","otherGeospatial":"Polson Nature Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.63204193115234,\n 42.37376383130166\n ],\n [\n -76.63204193115234,\n 42.539674667423405\n ],\n [\n -76.387939453125,\n 42.539674667423405\n ],\n [\n -76.387939453125,\n 42.37376383130166\n ],\n [\n -76.63204193115234,\n 42.37376383130166\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"72","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c84acde4b0b3c9ae3810a9","contributors":{"authors":[{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":620893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munoz, David","contributorId":149004,"corporation":false,"usgs":false,"family":"Munoz","given":"David","affiliations":[{"id":17615,"text":"Dep't of Ecosystem Science and Management, Penn State, PA","active":true,"usgs":false}],"preferred":false,"id":620894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David A.W.","contributorId":19423,"corporation":false,"usgs":true,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":620895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grant, Evan H. Campbell 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":167017,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","email":"ehgrant@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":620892,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168497,"text":"70168497 - 2016 - Book review: Ducks, geese, and swans of North America","interactions":[],"lastModifiedDate":"2018-01-02T11:05:20","indexId":"70168497","displayToPublicDate":"2016-02-18T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3111,"text":"Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Ducks, geese, and swans of North America","docAbstract":"As pointed out in the book’s introduction by Richard McCabe, very few books deserve being called a classic. First published in 1942, the various editions of Ducks, Geese, and Swans of North America—authored by Francis K. Kortright (1942), Frank C. Bellrose (1976, 1981), and this new edition by Guy Baldassarre (2014)—are deservedly placed in that category among the waterfowl literature. This book has been a valuable resource for the scientific community and waterfowl enthusiasts, and I was excited to learn that a new version has been published. As expected, this new edition did not disappoint and is a remarkable volume in terms of incorporating current research into each species account in a way that does not overwhelm either professional or amateur readers.
\nReview info: Ducks, geese, and swans of North America. By Guy Baldassarre, 2014. ISBN: 978-1421407517, 1088 pp.
","language":"English","publisher":"South Dakota State University","usgsCitation":"Wilson, R.E., 2016, Book review: Ducks, geese, and swans of North America: Prairie Naturalist, v. 47, no. 1, p. 55-55.","productDescription":"1 p.","startPage":"55","endPage":"55","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064631","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":318126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":318094,"type":{"id":15,"text":"Index Page"},"url":"https://www.sdstate.edu/nrm/organizations/gpnss/tpn/2015-archives.cfm"}],"volume":"47","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c6eb28e4b0946c6523b0bd","contributors":{"authors":[{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":620636,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70168510,"text":"70168510 - 2016 - Fishing diseased abalone to promote yield and conservation","interactions":[],"lastModifiedDate":"2016-02-18T09:29:57","indexId":"70168510","displayToPublicDate":"2016-02-18T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Fishing diseased abalone to promote yield and conservation","docAbstract":"Past theoretical models suggest fishing disease-impacted stocks can reduce parasite transmission, but this is a good management strategy only when the exploitation required to reduce transmission does not overfish the stock. We applied this concept to a red abalone fishery so impacted by an infectious disease (withering syndrome) that stock densities plummeted and managers closed the fishery. In addition to the non-selective fishing strategy considered by past disease-fishing models, we modelled targeting (culling) infected individuals, which is plausible in red abalone because modern diagnostic tools can determine infection without harming landed abalone and the diagnostic cost is minor relative to the catch value. The non-selective abalone fishing required to eradicate parasites exceeded thresholds for abalone sustainability, but targeting infected abalone allowed the fishery to generate yield and reduce parasite prevalence while maintaining stock densities at or above the densities attainable if the population was closed to fishing. The effect was strong enough that stock and yield increased even when the catch was one-third uninfected abalone. These results could apply to other fisheries as the diagnostic costs decline relative to catch value.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2015.0211","usgsCitation":"Ben-Horin, T., Lafferty, K.D., Bidegain, G., and Lenihan, H.S., 2016, Fishing diseased abalone to promote yield and conservation: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 371, no. 1689, art20150211, https://doi.org/10.1098/rstb.2015.0211.","productDescription":"art20150211","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071571","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471224,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rstb.2015.0211","text":"Publisher Index Page"},{"id":318125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"371","issue":"1689","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-05","publicationStatus":"PW","scienceBaseUri":"56c6eb28e4b0946c6523b0c5","contributors":{"authors":[{"text":"Ben-Horin, Tal","contributorId":58137,"corporation":false,"usgs":false,"family":"Ben-Horin","given":"Tal","email":"","affiliations":[],"preferred":false,"id":620737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":620736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bidegain, Gorka","contributorId":167008,"corporation":false,"usgs":false,"family":"Bidegain","given":"Gorka","email":"","affiliations":[{"id":13403,"text":"University of Southern Mississippi, Department of Biological Sciences, Hattiesburg, Mississippi, USA","active":true,"usgs":false}],"preferred":false,"id":620738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lenihan, Hunter S.","contributorId":94227,"corporation":false,"usgs":true,"family":"Lenihan","given":"Hunter","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":620739,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168659,"text":"70168659 - 2016 - Testing the suitability of geologic frameworks for extrapolating hydraulic properties across regional scales","interactions":[],"lastModifiedDate":"2016-12-16T10:51:16","indexId":"70168659","displayToPublicDate":"2016-02-18T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Testing the suitability of geologic frameworks for extrapolating hydraulic properties across regional scales","docAbstract":"The suitability of geologic frameworks for extrapolating hydraulic conductivity (K) to length scales commensurate with hydraulic data is difficult to assess. A novel method is presented for evaluating assumed relations between K and geologic interpretations for regional-scale groundwater modeling. The approach relies on simultaneous interpretation of multiple aquifer tests using alternative geologic frameworks of variable complexity, where each framework is incorporated as prior information that assumes homogeneous K within each model unit. This approach is tested at Pahute Mesa within the Nevada National Security Site (USA), where observed drawdowns from eight aquifer tests in complex, highly faulted volcanic rocks provide the necessary hydraulic constraints. The investigated volume encompasses 40 mi3 (167 km3) where drawdowns traversed major fault structures and were detected more than 2 mi (3.2 km) from pumping wells. Complexity of the five frameworks assessed ranges from an undifferentiated mass of rock with a single unit to 14 distinct geologic units. Results show that only four geologic units can be justified as hydraulically unique for this location. The approach qualitatively evaluates the consistency of hydraulic property estimates within extents of investigation and effects of geologic frameworks on extrapolation. Distributions of transmissivity are similar within the investigated extents irrespective of the geologic framework. In contrast, the extrapolation of hydraulic properties beyond the volume investigated with interfering aquifer tests is strongly affected by the complexity of a given framework. Testing at Pahute Mesa illustrates how this method can be employed to determine the appropriate level of geologic complexity for large-scale groundwater modeling.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-016-1375-1","usgsCitation":"Mirus, B.B., Halford, K.J., Sweetkind, D.S., and Fenelon, J.M., 2016, Testing the suitability of geologic frameworks for extrapolating hydraulic properties across regional scales: Hydrogeology Journal, v. 24, no. 5, p. 1133-1146, https://doi.org/10.1007/s10040-016-1375-1.","productDescription":"14 p.","startPage":"1133","endPage":"1146","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033309","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":490008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-016-1375-1","text":"Publisher Index Page"},{"id":318311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Pahute Mesa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.7,\n 37.3\n ],\n [\n -116.7,\n 37\n ],\n [\n -116.3,\n 37\n ],\n [\n -116.3,\n 37.3\n ],\n [\n -116.7,\n 37.3\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"5","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-18","publicationStatus":"PW","scienceBaseUri":"56cc4007e4b059daa47e46e5","contributors":{"authors":[{"text":"Mirus, Benjamin B.","contributorId":12348,"corporation":false,"usgs":false,"family":"Mirus","given":"Benjamin","email":"","middleInitial":"B.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":621173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796 dsweetkind@usgs.gov","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":139913,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald","email":"dsweetkind@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":621174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fenelon, Joseph M. 0000-0003-4449-245X jfenelon@usgs.gov","orcid":"https://orcid.org/0000-0003-4449-245X","contributorId":2355,"corporation":false,"usgs":true,"family":"Fenelon","given":"Joseph","email":"jfenelon@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621175,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173993,"text":"70173993 - 2016 - Highly pathogenic avian influenza viruses and generation of novel reassortants,United States, 2014–2015","interactions":[],"lastModifiedDate":"2016-06-23T15:15:07","indexId":"70173993","displayToPublicDate":"2016-02-18T05:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Highly pathogenic avian influenza viruses and generation of novel reassortants,United States, 2014–2015","docAbstract":"Asian highly pathogenic avian influenza A(H5N8) viruses spread into North America in 2014 during autumn bird migration. Complete genome sequencing and phylogenetic analysis of 32 H5 viruses identified novel H5N1, H5N2, and H5N8 viruses that emerged in late 2014 through reassortment with North American low-pathogenicity avian influenza viruses.
","language":"English","publisher":"Center for Disease Control","publisherLocation":"Atlanta, GA","doi":"10.3201/eid2207.160048","usgsCitation":"Dong-Hun Lee, Bahl, J., Mia Kim Torchetti, Killian, M.L., Ip, S., and Swayne, D.E., 2016, Highly pathogenic avian influenza viruses and generation of novel reassortants,United States, 2014–2015: Emerging Infectious Diseases, v. 22, no. 7, p. 1283-1285, https://doi.org/10.3201/eid2207.160048.","productDescription":"3 p.","startPage":"1283","endPage":"1285","numberOfPages":"3","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069995","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":471225,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid2207.160048","text":"Publisher Index Page"},{"id":324146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a653ce4b07657d1a11db3","contributors":{"authors":[{"text":"Dong-Hun Lee","contributorId":172259,"corporation":false,"usgs":false,"family":"Dong-Hun Lee","affiliations":[{"id":27016,"text":"USDA, ARS, Southeast Poultry Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":640091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bahl, Justin","contributorId":172260,"corporation":false,"usgs":false,"family":"Bahl","given":"Justin","email":"","affiliations":[{"id":27017,"text":"University of Texas School of Public Health, Center for Infectious Diseases","active":true,"usgs":false}],"preferred":false,"id":640092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mia Kim Torchetti","contributorId":172261,"corporation":false,"usgs":false,"family":"Mia Kim Torchetti","affiliations":[{"id":27018,"text":"USDA, APHIS, NVSL","active":true,"usgs":false}],"preferred":false,"id":640093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Killian, Mary Lea","contributorId":172262,"corporation":false,"usgs":false,"family":"Killian","given":"Mary","email":"","middleInitial":"Lea","affiliations":[{"id":27018,"text":"USDA, APHIS, NVSL","active":true,"usgs":false}],"preferred":false,"id":640094,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":640090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swayne, David E","contributorId":172263,"corporation":false,"usgs":false,"family":"Swayne","given":"David","email":"","middleInitial":"E","affiliations":[{"id":27016,"text":"USDA, ARS, Southeast Poultry Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":640095,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70168509,"text":"70168509 - 2016 - Cumulative drought and land-use impacts on perennial vegetation across a North American dryland region","interactions":[],"lastModifiedDate":"2016-06-15T16:18:08","indexId":"70168509","displayToPublicDate":"2016-02-17T16:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":849,"text":"Applied Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Cumulative drought and land-use impacts on perennial vegetation across a North American dryland region","docAbstract":"The decline and loss of perennial vegetation in dryland ecosystems due to global change pressures can alter ecosystem properties and initiate land degradation processes. We tracked changes of perennial vegetation using remote sensing to address the question of how prolonged drought and land-use intensification have affected perennial vegetation cover across a desert region in the early 21st century?
\nMojave Desert, southeastern California, southern Nevada, southwestern Utah and northwestern Arizona, USA.
\nWe coupled the Moderate-Resolution Imaging Spectroradiometer Enhanced Vegetation Index (MODIS-EVI) with ground-based measurements of perennial vegetation cover taken in about 2000 and about 2010. Using the difference between these years, we determined perennial vegetation changes in the early 21st century and related these shifts to climate, soil and landscape properties, and patterns of land use.
\nWe found a good fit between MODIS-EVI and perennial vegetation cover (2000: R2 = 0.83 and 2010: R2 = 0.74). The southwestern, far southeastern and central Mojave Desert had large declines in perennial vegetation cover in the early 21st century, while the northeastern and southeastern portions of the desert had increases. These changes were explained by 10-yr precipitation anomalies, particularly in the cool season and during extreme dry or wet years. Areas heavily impacted by visitor use or wildfire lost perennial vegetation cover, and vegetation in protected areas increased to a greater degree than in unprotected areas.
\nWe find that we can extrapolate previously documented declines of perennial plant cover to an entire desert, and demonstrate that prolonged water shortages coupled with land-use intensification create identifiable patterns of vegetation change in dryland regions.
\nThe persistence of ponderosa pine and lodgepole pine forests in the 21st century depends to a large extent on how seedling emergence and establishment are influenced by driving climate and environmental variables, which largely govern forest regeneration. We surveyed the literature, and identified 96 publications that reported data on dependent variables of seedling emergence and/or establishment and one or more independent variables of air temperature, soil temperature, precipitation and moisture availability. Our review suggests that seedling emergence and establishment for both species is highest at intermediate temperatures (20 to 25 °C), and higher precipitation and higher moisture availability support a higher percentage of seedling emergence and establishment at daily, monthly and annual timescales. We found that ponderosa pine seedlings may be more sensitive to temperature fluctuations whereas lodgepole pine seedlings may be more sensitive to moisture fluctuations. In a changing climate, increasing temperatures and declining moisture availability may hinder forest persistence by limiting seedling processes. Yet, only 23 studies in our review investigated the effects of driving climate and environmental variables directly. Furthermore, 74 studies occurred in a laboratory or greenhouse, which do not often replicate the conditions experienced by tree seedlings in a field setting. It is therefore difficult to provide strong conclusions on how sensitive emergence and establishment in ponderosa and lodgepole pine are to these specific driving variables, or to investigate their potential aggregate effects. Thus, the effects of many driving variables on seedling processes remain largely inconclusive. Our review stresses the need for additional field and laboratory studies to better elucidate the effects of driving climate and environmental variables on seedling emergence and establishment for ponderosa and lodgepole pine.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2015.11.028","usgsCitation":"Petrie, M., Wildeman, A., Bradford, J.B., Hubbard, R., and Lauenroth, W., 2016, A review of precipitation and temperature control on seedling emergence and establishment for ponderosa and lodgepole pine forest regeneration: Forest Ecology and Management, v. 361, p. 328-338, https://doi.org/10.1016/j.foreco.2015.11.028.","productDescription":"11 p.","startPage":"328","endPage":"338","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070435","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":318120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"361","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c599a7e4b0946c6521eddd","contributors":{"authors":[{"text":"Petrie, Matthew mpetrie@usgs.gov","contributorId":167013,"corporation":false,"usgs":true,"family":"Petrie","given":"Matthew","email":"mpetrie@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":620756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildeman, A.M.","contributorId":167014,"corporation":false,"usgs":false,"family":"Wildeman","given":"A.M.","email":"","affiliations":[{"id":24594,"text":"(formerly): USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ 86011","active":true,"usgs":false}],"preferred":false,"id":620757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":620755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hubbard, R.M.","contributorId":167015,"corporation":false,"usgs":false,"family":"Hubbard","given":"R.M.","email":"","affiliations":[{"id":24595,"text":"USDA Forest Service, Fort Collins CO","active":true,"usgs":false}],"preferred":false,"id":620758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lauenroth, W.K.","contributorId":59755,"corporation":false,"usgs":true,"family":"Lauenroth","given":"W.K.","affiliations":[],"preferred":false,"id":620759,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70168516,"text":"70168516 - 2016 - Spatial variation in risk and consequence of Batrachochytrium salamandrivorans introduction in the USA","interactions":[],"lastModifiedDate":"2018-01-04T15:41:29","indexId":"70168516","displayToPublicDate":"2016-02-17T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3908,"text":"Royal Society Open Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatial variation in risk and consequence of Batrachochytrium salamandrivorans introduction in the USA","title":"Spatial variation in risk and consequence of Batrachochytrium salamandrivorans introduction in the USA","docAbstract":"A newly identified fungal pathogen, Batrachochytrium salamandrivorans (Bsal), is responsible for mass mortality events and severe population declines in European salamanders. The eastern USA has the highest diversity of salamanders in the world and the introduction of this pathogen is likely to be devastating. Although data are inevitably limited for new pathogens, disease-risk assessments use best available data to inform management decisions. Using characteristics of Bsal ecology, spatial data on imports and pet trade establishments, and salamander species diversity, we identify high-risk areas with both a high likelihood of introduction and severe consequences for local salamanders. We predict that the Pacific coast, southern Appalachian Mountains and mid-Atlantic regions will have the highest relative risk from Bsal. Management of invasive pathogens becomes difficult once they are established in wildlife populations; therefore, import restrictions to limit pathogen introduction and early detection through surveillance of high-risk areas are priorities for preventing the next crisis for North American salamanders.
","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsos.150616","usgsCitation":"Richgels, K.L., Russell, R.E., Adams, M.J., White, C.L., and Campbell Grant, E., 2016, Spatial variation in risk and consequence of Batrachochytrium salamandrivorans introduction in the USA: Royal Society Open Science, v. 3, Article 150616; 9 p., https://doi.org/10.1098/rsos.150616.","productDescription":"Article 150616; 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066112","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":471227,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsos.150616","text":"Publisher Index Page"},{"id":318118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c599ace4b0946c6521edf8","contributors":{"authors":[{"text":"Richgels, Katherine L. D. 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":151205,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","middleInitial":"L. D.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":620760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":620761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":620762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":620764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":23233,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan H.","affiliations":[],"preferred":false,"id":620763,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70164338,"text":"ds979 - 2016 - Post-Hurricane Irene coastal oblique aerial photographs collected from Ocracoke Inlet, North Carolina, to Virginia Beach, Virginia, August 30-31, 2011","interactions":[],"lastModifiedDate":"2016-12-02T12:29:46","indexId":"ds979","displayToPublicDate":"2016-02-17T15:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"979","title":"Post-Hurricane Irene coastal oblique aerial photographs collected from Ocracoke Inlet, North Carolina, to Virginia Beach, Virginia, August 30-31, 2011","docAbstract":"The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On August 30-31, 2011, the USGS conducted an oblique aerial photographic survey from Ocracoke Inlet, North Carolina, to Virginia Beach, Virginia, aboard a Piper Navajo Chieftain (aircraft) at an altitude of 500 feet (ft) and approximately 1,200 ft offshore. This mission was flown to collect post-Hurricane Irene data for assessing incremental changes in the beach and nearshore area since the last survey, flown in May 2008, and the data can be used in the assessment of future coastal change.
\nThe photographs provided in this report are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft at the time the photograph was taken and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.
\nTable 1 provides detailed information about the GPS location, image name, date, and time for each of the 2,688 photographs that were taken along with links to each photograph.
In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML also shows the track of Hurricane Irene. The KML files were created using the photographic navigation files. These KML file(s) can be found in the kml folder.
St. Petersburg Coastal and Marine Science Center
600 4th Street South
St. Petersburg, FL 33701
(727) 502-8000
http://coastal.er.usgs.gov/
This circular provides an overview of selected activities that were conducted within the U.S. Geological Survey (USGS) Integrated Methods Development Project, an interdisciplinary project designed to develop new tools and conduct innovative research requiring integration of geologic, geophysical, geochemical, and remote-sensing expertise. The project was supported by the USGS Mineral Resources Program, and its products and acquired capabilities have broad applications to missions throughout the USGS and beyond.
In addressing challenges associated with understanding the location, quantity, and quality of mineral resources, and in investigating the potential environmental consequences of resource development, a number of field and laboratory capabilities and interpretative methodologies evolved from the project that have applications to traditional resource studies as well as to studies related to ecosystem health, human health, disaster and hazard assessment, and planetary science. New or improved tools and research findings developed within the project have been applied to other projects and activities. Specifically, geophysical equipment and techniques have been applied to a variety of traditional and nontraditional mineral- and energy-resource studies, military applications, environmental investigations, and applied research activities that involve climate change, mapping techniques, and monitoring capabilities. Diverse applied geochemistry activities provide a process-level understanding of the mobility, chemical speciation, and bioavailability of elements, particularly metals and metalloids, in a variety of environmental settings. Imaging spectroscopy capabilities maintained and developed within the project have been applied to traditional resource studies as well as to studies related to ecosystem health, human health, disaster assessment, and planetary science. Brief descriptions of capabilities and laboratory facilities and summaries of some applications of project products and research findings are included in this circular. The work helped support the USGS mission to “provide reliable scientific information to describe and understand the Earth; minimize loss of life and property from natural disasters; manage water, biological, energy, and mineral resources; and enhance and protect our quality of life.” Activities within the project include the following:
This circular consists of eight sections that contain summaries of various activities under the project. The eight sections are listed below:
Center Director, USGS Crustal Geophysics and Geochemistry Science Center
Box 25046, Mail Stop 964
Denver, CO 80225
Or visit the Crustal Geophysics and Geochemistry Science Center Web site at:
http://crustal.usgs.gov/
Reconstruction of pre-instrumental, late Holocene climate is important for understanding how climate has changed in the past and how climate might change in the future. Statistical prediction of paleoclimate from tree ring widths is challenging because tree ring widths are a one-dimensional summary of annual growth that represents a multi-dimensional set of climatic and biotic influences. We develop a Bayesian hierarchical framework using a nonlinear, biologically motivated tree ring growth model to jointly reconstruct temperature and precipitation in the Hudson Valley, New York. Using a common growth function to describe the response of a tree to climate, we allow for species-specific parameterizations of the growth response. To enable predictive backcasts, we model the climate variables with a vector autoregressive process on an annual timescale coupled with a multivariate conditional autoregressive process that accounts for temporal correlation and cross-correlation between temperature and precipitation on a monthly scale. Our multi-scale temporal model allows for flexibility in the climate response through time at different temporal scales and predicts reasonable climate scenarios given tree ring width data.
","language":"English","publisher":"International Environmetrics Society","doi":"10.1002/env.2368","usgsCitation":"Tipton, J., Hooten, M., Pederson, N., Tingley, M., and Bishop, D., 2016, Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models: Environmetrics, v. 27, no. 1, p. 42-54, https://doi.org/10.1002/env.2368.","productDescription":"13 p.","startPage":"42","endPage":"54","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065402","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498967,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/env.2368","text":"Publisher Index Page"},{"id":318106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-29","publicationStatus":"PW","scienceBaseUri":"56c599abe4b0946c6521edf1","contributors":{"authors":[{"text":"Tipton, John","contributorId":166999,"corporation":false,"usgs":false,"family":"Tipton","given":"John","affiliations":[],"preferred":false,"id":620683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":619800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pederson, Neil","contributorId":149422,"corporation":false,"usgs":false,"family":"Pederson","given":"Neil","email":"","affiliations":[{"id":17731,"text":"Research Scientist, Tree Ring Laboratory, Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":620684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tingley, Martin","contributorId":167000,"corporation":false,"usgs":false,"family":"Tingley","given":"Martin","email":"","affiliations":[],"preferred":false,"id":620685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bishop, Daniel","contributorId":141104,"corporation":false,"usgs":false,"family":"Bishop","given":"Daniel","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":620686,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173983,"text":"70173983 - 2016 - High-resolution seismic reflection imaging of growth folding and shallow faults beneath the Southern Puget Lowland, Washington State","interactions":[],"lastModifiedDate":"2016-06-21T15:49:13","indexId":"70173983","displayToPublicDate":"2016-02-17T06:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution seismic reflection imaging of growth folding and shallow faults beneath the Southern Puget Lowland, Washington State","docAbstract":"Marine seismic reflection data from southern Puget Sound, Washington, were collected to investigate the nature of shallow structures associated with the Tacoma fault zone and the Olympia structure. Growth folding and probable Holocene surface deformation were imaged within the Tacoma fault zone beneath Case and Carr Inlets. Shallow faults near potential field anomalies associated with the Olympia structure were imaged beneath Budd and Eld Inlets. Beneath Case Inlet, the Tacoma fault zone includes an ∼350-m wide section of south-dipping strata forming the upper part of a fold (kink band) coincident with the southern edge of an uplifted shoreline terrace. An ∼2 m change in the depth of the water bottom, onlapping postglacial sediments, and increasing stratal dips with increasing depth are consistent with late Pleistocene to Holocene postglacial growth folding above a blind fault. Geologic data across a topographic lineament on nearby land indicate recent uplift of late Holocene age. Profiles acquired in Carr Inlet 10 km to the east of Case Inlet showed late Pleistocene or Holocene faulting at one location with ∼3 to 4 m of vertical displacement, south side up. North of this fault the data show several other disruptions and reflector terminations that could mark faults within the broad Tacoma fault zone. Seismic reflection profiles across part of the Olympia structure beneath southern Puget Sound show two apparent faults about 160 m apart having 1 to 2 m of displacement of subhorizontal bedding. Directly beneath one of these faults, a dipping reflector that may mark the base of a glacial channel shows the opposite sense of throw, suggesting strike-slip motion. Deeper seismic reflection profiles show disrupted strata beneath these faults but little apparent vertical offset, consistent with strike-slip faulting. These faults and folds indicate that the Tacoma fault and Olympia structure include active structures with probable postglacial motion.
","language":"English","publisher":"Seismological Society of America","publisherLocation":"Albany, CA","doi":"10.1785/0120080306","usgsCitation":"Odum, J., Stephenson, W.J., Pratt, T.L., and Blakely, R.J., 2016, High-resolution seismic reflection imaging of growth folding and shallow faults beneath the Southern Puget Lowland, Washington State: Bulletin of the Seismological Society of America, v. 100, no. 4, p. 1710-1723, https://doi.org/10.1785/0120080306.","productDescription":"14 p.","startPage":"1710","endPage":"1723","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-076890","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":488465,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1785/0120080306","text":"External Repository"},{"id":324161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Island, Jefferson, King Kitsap, Mason, Pierce, San Juan, Skagit, Snohomish, Thurston, Whatcom","city":"Seattle","otherGeospatial":"Northwest coast of Washington State; part of the Saliah Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.86010742187499,\n 48.88639177703194\n ],\n [\n -123.18969726562499,\n 48.672826384100354\n ],\n [\n -123.18969726562499,\n 48.574789910928864\n ],\n [\n -123.06884765625,\n 48.425555463221045\n ],\n [\n -123.20068359374999,\n 48.23565029755306\n ],\n [\n -123.4149169921875,\n 46.81885778879603\n ],\n [\n -121.2176513671875,\n 46.90149244734082\n ],\n [\n -121.3275146484375,\n 48.86832824998009\n ],\n [\n -122.86010742187499,\n 48.88639177703194\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"100","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-07-27","publicationStatus":"PW","scienceBaseUri":"576a653be4b07657d1a11db0","contributors":{"authors":[{"text":"Odum, Jackson K. 0000-0003-4697-2430 odum@usgs.gov","orcid":"https://orcid.org/0000-0003-4697-2430","contributorId":1365,"corporation":false,"usgs":true,"family":"Odum","given":"Jackson K.","email":"odum@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":640150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":640151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":640152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":640153,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168559,"text":"70168559 - 2016 - Demographic response of northern spotted owls to barred owl removal","interactions":[],"lastModifiedDate":"2018-02-23T16:07:04","indexId":"70168559","displayToPublicDate":"2016-02-17T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Demographic response of northern spotted owls to barred owl removal","docAbstract":"Federally listed as threatened in 1990 primarily because of habitat loss, the northern spotted owl (Strix occidentalis caurina) has continued to decline despite conservation efforts resulting in forested habitat being reserved throughout its range. Recently, there is growing evidence the congeneric invasive barred owl (Strix varia) may be responsible for the continued decline primarily by excluding spotted owls from their preferred habitat. We used a long-term demographic study for spotted owls in coastal northern California as the basis for a pilot barred owl removal experiment. Our demography study used capture–recapture, reproductive output, and territory occupancy data collected from 1990 to 2013 to evaluate trends in vital rates and populations. We used a classic before-after-control-impact (BACI) experimental design to investigate the demographic response of northern spotted owls to the lethal removal of barred owls. According to the best 2-species dynamic occupancy model, there was no evidence of differences in barred or northern spotted owl occupancy prior to the initiation of the treatment (barred owl removal). After treatment, barred owl occupancy was lower in the treated relative to the untreated areas and spotted owl occupancy was higher relative to the untreated areas. Barred owl removal decreased spotted owl territory extinction rates but did not affect territory colonization rates. As a result, spotted owl occupancy increased in the treated area and continued to decline in the untreated areas. Prior to and after barred owl removal, there was no evidence that average fecundity differed on the 2 study areas. However, the greater number of occupied spotted owl sites on the treated areas resulted in greater productivity in the treated areas based on empirical counts of fledged young. Prior to removal, survival was declining at a rate of approximately 0.2% per year for treated and untreated areas. Following treatment, estimated survival was 0.859 for the treated areas and 0.822 for the untreated areas. Derived estimates of population change on both study areas showed the same general decline before removal with an estimated slope of –0.0036 per year. Following removal, the rate of population change on the treated areas increased to an average of 1.029 but decreased to an average of 0.870 on the untreated areas. The results from this first experiment demonstrated that lethal removal of barred owls allowed the recovery of northern spotted owl populations in the treated portions of our study area. If additional federally funded barred owl removal experiments provide similar results, this could be the foundation for development of a long-term conservation strategy for northern spotted owls.
","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/jwmg.1046","usgsCitation":"Diller, V.L., Hamm, K.A., Early, D.A., Lamphear, D., Dugger, K.M., Yackulic, C.B., Schwarz, C.J., Carlson, P., and McDonald, T.L., 2016, Demographic response of northern spotted owls to barred owl removal: Journal of Wildlife Management, v. 80, no. 4, p. 691-707, https://doi.org/10.1002/jwmg.1046.","productDescription":"17 p.","startPage":"691","endPage":"707","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065237","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":318296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Humboldt county, Del Norte county","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.4091796875,\n 40.204050425113294\n ],\n [\n -124.4091796875,\n 42.00032514831621\n ],\n [\n -123.321533203125,\n 42.00032514831621\n ],\n [\n -123.321533203125,\n 40.204050425113294\n ],\n [\n -124.4091796875,\n 40.204050425113294\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"80","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-17","publicationStatus":"PW","scienceBaseUri":"56cc3f4ae4b059daa47e43b0","contributors":{"authors":[{"text":"Diller, V. 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We extend an existing Antecedent Water Index (AWI) model, which expresses soil moisture as a function of time and rainfall. Unfortunately, the existing AWI model does not forecast effectively for time periods beyond a few hours. To overcome this limitation, we develop a novel AWI-based model. Our model accumulates rainfall over a time interval and can fit a diverse range of wetting and drying curves. In addition, parameters in our model reflect hydrologic redistribution processes of gravity and suction.We validate our models using experimental soil moisture and rainfall time series data collected from steep gradient post-wildfire sites in Southern California, where rapid landscape change was observed in response to small to moderate rain storms. We found that our novel model fits the data for three distinct soil textures, occurring at different depths below the ground surface (5, 15, and 30 cm). Our model also successfully forecasts soil moisture trends, such as drying and wetting rate.","conferenceTitle":"13th Conference of the Association for the Advancement of Artificial Intelligence","conferenceDate":"February 12–17, 2016","conferenceLocation":" Phoenix, Arizona ","language":"English","publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","collaboration":"Carnegie Mellon University","usgsCitation":"Basak, A., Kulkarni, C., Schmidt, K.M., and Mengshoel, O., 2016, Wetting and drying of soil in response to precipitation: Data analysis, modeling, and forecasting, 13th Conference of the Association for the Advancement of Artificial Intelligence, Phoenix, Arizona , February 12–17, 2016.","ipdsId":"IP-068964","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":332337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":316604,"type":{"id":15,"text":"Index Page"},"url":"https://www.aaai.org/Conferences/AAAI/aaai16.php"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51bfe4b01224f329b5ed","contributors":{"authors":[{"text":"Basak, Aniruddha","contributorId":156329,"corporation":false,"usgs":false,"family":"Basak","given":"Aniruddha","email":"","affiliations":[{"id":20319,"text":"Carnegie Mellon University, Silicon Valley","active":true,"usgs":false}],"preferred":false,"id":597456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulkarni, Chinmay","contributorId":156330,"corporation":false,"usgs":false,"family":"Kulkarni","given":"Chinmay","email":"","affiliations":[{"id":20319,"text":"Carnegie Mellon University, Silicon Valley","active":true,"usgs":false}],"preferred":false,"id":597457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Kevin M. 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":1985,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":597455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mengshoel, Ole","contributorId":156331,"corporation":false,"usgs":false,"family":"Mengshoel","given":"Ole","email":"","affiliations":[{"id":20319,"text":"Carnegie Mellon University, Silicon Valley","active":true,"usgs":false}],"preferred":false,"id":597458,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168584,"text":"70168584 - 2016 - Optimizing available network resources to address questions in environmental biogeochemistry","interactions":[],"lastModifiedDate":"2018-02-21T17:52:48","indexId":"70168584","displayToPublicDate":"2016-02-17T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing available network resources to address questions in environmental biogeochemistry","docAbstract":"An increasing number of network observatories have been established globally to collect long-term biogeochemical data at multiple spatial and temporal scales. Although many outstanding questions in biogeochemistry would benefit from network science, the ability of the earth- and environmental-sciences community to conduct synthesis studies within and across networks is limited and seldom done satisfactorily. We identify the ideal characteristics of networks, common problems with using data, and key improvements to strengthen intra- and internetwork compatibility. We suggest that targeted improvements to existing networks should include promoting standardization in data collection, developing incentives to promote rapid data release to the public, and increasing the ability of investigators to conduct their own studies across sites. Internetwork efforts should include identifying a standard measurement suite—we propose profiles of plant canopy and soil properties—and an online, searchable data portal that connects network, investigator-led, and citizen-science projects.
","language":"English","publisher":"American Institute of Biological Sciences","doi":"10.1093/biosci/biw005","usgsCitation":"Hinckley, E., Andersen, S., Baron, J., Blanken, P., Bonan, G., Bowman, W., Elmendorf, S., Fierer, N., Andrew Fox, Goodman, K., Katherine Jones, Danica Lombardozzi, Claire Lunch, Neff, J., SanClements, M., Suding, K., and Wieder, W., 2016, Optimizing available network resources to address questions in environmental biogeochemistry: BioScience, v. 66, no. 4, p. 317-326, https://doi.org/10.1093/biosci/biw005.","productDescription":"10 p.","startPage":"317","endPage":"326","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070048","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biw005","text":"Publisher Index 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William","contributorId":167076,"corporation":false,"usgs":false,"family":"Bowman","given":"William","email":"","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":620957,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elmendorf, Sarah","contributorId":167078,"corporation":false,"usgs":false,"family":"Elmendorf","given":"Sarah","email":"","affiliations":[{"id":24611,"text":"NEON","active":true,"usgs":false}],"preferred":false,"id":620959,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fierer, Noah","contributorId":138711,"corporation":false,"usgs":false,"family":"Fierer","given":"Noah","email":"","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":621151,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Andrew Fox","contributorId":167079,"corporation":false,"usgs":false,"family":"Andrew 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Lunch","contributorId":167083,"corporation":false,"usgs":false,"family":"Claire Lunch","affiliations":[{"id":24611,"text":"NEON","active":true,"usgs":false}],"preferred":false,"id":620964,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Neff, Jason","contributorId":167084,"corporation":false,"usgs":false,"family":"Neff","given":"Jason","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":620965,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"SanClements, Michael","contributorId":167085,"corporation":false,"usgs":false,"family":"SanClements","given":"Michael","email":"","affiliations":[{"id":24611,"text":"NEON","active":true,"usgs":false}],"preferred":false,"id":620966,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Suding, Katherine","contributorId":167086,"corporation":false,"usgs":false,"family":"Suding","given":"Katherine","email":"","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":620967,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wieder, Will","contributorId":167087,"corporation":false,"usgs":false,"family":"Wieder","given":"Will","email":"","affiliations":[{"id":24610,"text":"NCAR","active":true,"usgs":false}],"preferred":false,"id":620968,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70168362,"text":"70168362 - 2016 - Ecology and conservation of Lesser Prairie-Chickens in sand shinnery oak prairies","interactions":[],"lastModifiedDate":"2017-11-27T12:51:11","indexId":"70168362","displayToPublicDate":"2016-02-17T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ecology and conservation of Lesser Prairie-Chickens in sand shinnery oak prairies","docAbstract":"Sand shinnery oak (Quercus havardii) prairies are unique ecosystems endemic to sandy soils of eastern New Mexico, northwestern Texas, and western Oklahoma; the historic and current distribution of the Lesser Prairie-Chicken (Tympanuchus pallidicinctus) overlaps these prairie systems. Lesser Prairie-Chicken populations in sand shinnery oak prairies of the Southern Great Plains have declined substantially since the late 1980s, most likely due to conversion of nesting and brood-rearing habitat to row-crop agriculture and extended periods of drought. In addition to threats universal throughout the species distribution, this population is susceptible to a changing climate in an area that is already representative of an extreme environment for ground-nesting birds. Recent studies of Lesser Prairie-Chicken ecology in sand shinnery oak prairies have expanded our knowledge on the ecology and management of the species, but a thorough review of the historic and current literature is lacking. In addition, current management guidelines exist for Lesser Prairie-Chickens in mixed grass and sand sagebrush prairies, but there are no comprehensive management guidelines for the species in sand shinnery oak prairies. This information is paramount given unique aspects of the vegetation community, relative ecosystem drivers, and environmental variation in sand shinnery oak prairie and the species’ current status as a proposed threatened species under the United States Endangered Species Act. Herein, we provide a thorough synthesis of literature pertaining to the life history, habitat requirements, habitat management, and population management for Lesser Prairie-Chickens in sand shinnery oak prairie, provide management guidelines and recommendations for the species in this ecoregion, and highlight current and future research needs. Within our objectives, we place emphasis on two recently completed long-term investigations into Lesser Prairie-Chicken ecology in sand shinnery oak prairie - a 10-year vegetation data set collected in Roosevelt County, New Mexico, 2001–2011 and a 6-year Lesser Prairie-Chicken data set
collected in Roosevelt County, New Mexico and Cochran, Hockley, Terry, and Yoakum counties, Texas, 2006–2012.
This report describes, in a nontechnical style, the geologic history and mining activity in the Blue River region of Colorado, which includes all of Summit County. The geologic story begins with the formation of ancient basement rocks, as old as about 1700 million years, and continues with the deposition of sedimentary rocks on a vast erosional surface beginning in the Cambrian Period (about 530 million years ago). This deposition was interrupted by uplift of the Ancestral Rocky Mountains during the late Paleozoic Era (about 300 million years ago). The present Rocky Mountains began to rise at the close of the Mesozoic Era (about 65 million years ago). A few tens of millions years ago, rifting began to form the Blue River valley; a major fault along the east side of the Gore Range dropped the east side down, forming the present valley. The valley once was filled by sediments and volcanic rocks that are now largely eroded. During the last few hundred-thousand years, at least two periods of glaciation sculpted the mountains bordering the valley and glaciers extended down the Blue River valley as far south as present Dillon Reservoir. Discovery of deposits of gold, silver, copper, and zinc in the late 1800s, particularly in the Breckenridge region, brought an influx of early settlers. The world-class molybdenum deposit at Climax, mined since the First World War, reopened in 2012 after a period of closure.
\nThe report includes a glossary to explain geologic terms used in the text, and numerous photos, maps, and diagrams illustrate the geologic principles discussed. References for further reading are also included.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1400","isbn":"978-1-4113-3966-8 (pbk.)","usgsCitation":"Kellogg, K.S., Bryant, Bruce, and Shroba, R.R., 2016, Mountains, glaciers, and mines—The geological story of the Blue River valley, Colorado, and its surrounding mountains: U.S. Geological Survey Circular 1400, 46 p., https://dx.doi.org/10.3133/cir1400.","productDescription":"vii, 44 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":503651,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_103967.htm","linkFileType":{"id":5,"text":"html"}},{"id":317909,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1400/coverthb.jpg"},{"id":317910,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1400/circ1400.pdf","text":"Report","size":"40.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1400"}],"country":"United States","state":"Colorado","county":"Summit County","otherGeospatial":"Blue River valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.49871826171875,\n 40.10328591293442\n ],\n [\n -105.99334716796875,\n 40.10328591293442\n ],\n [\n -106.00296020507811,\n 39.82857709114199\n ],\n [\n -105.88485717773438,\n 39.69556418405592\n ],\n [\n -105.65414428710938,\n 39.606746222241476\n ],\n [\n -105.64041137695312,\n 39.48390532305253\n ],\n [\n -106.0015869140625,\n 39.299236474818194\n ],\n [\n -106.3641357421875,\n 39.30348722334712\n ],\n [\n -106.50009155273438,\n 39.642710095411786\n ],\n [\n -106.49871826171875,\n 40.10328591293442\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Center Director, USGS Geosciences and Environmental Change Science Center
Box 25046, Mail Stop 980
Denver, CO 80225
Life-history trade-offs are influenced by variation in individual state, with individuals in better condition often completing life-history stages with greater success. Although resource accrual significantly impacts key life-history decisions such as the timing of reproduction, little is known about the underlying mechanisms driving resource accumulation. Baseline corticosterone (CORT, the primary avian glucocorticoid) mediates daily and seasonal energetics, responds to changes in food availability, and has been linked to foraging behavior, making it a strong potential driver of individual variation in resource accrual and deposition. Working with a captive colony of white-winged scoters (Melanitta fusca deglandi), we aimed to causally determine whether variation in baseline CORT drives individual body mass gains mediated through fattening rate (plasma triglycerides corrected for body mass). We implanted individuals with each of three treatment pellets to elevate CORT within a baseline range in a randomized order: control, low dose of CORT, high dose of CORT, then blood sampled and recorded body mass over a two-week period to track changes in baseline CORT, body mass, and fattening rates. The high CORT treatment significantly elevated levels of plasma hormone for a short period of time within the biologically relevant, baseline range for this species, but importantly did not inhibit the function of the HPA (hypothalamic–pituitary–adrenal) axis. Furthermore, an elevation in baseline CORT resulted in a consistent increase in body mass throughout the trial period compared to controls. This is some of the first empirical evidence demonstrating that elevations of baseline CORT within a biologically relevant range have a causal, direct, and positive influence on changes in body mass.
","language":"English","publisher":"Blackwell Pub. Ltd.","publisherLocation":"Oxford","doi":"10.1002/ece3.1999","collaboration":"Holly L. Hennin; Oliver P. Love","usgsCitation":"Hennin, H., Berlin, A., and Love, O.P., 2016, Baseline glucocorticoids are drivers of body mass gain in a diving seabird: Ecology and Evolution, v. 6, no. 6, p. 1702-1711, https://doi.org/10.1002/ece3.1999.","productDescription":"10 p.","startPage":"1702","endPage":"1711","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071675","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471229,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1999","text":"Publisher Index Page"},{"id":319731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-16","publicationStatus":"PW","scienceBaseUri":"56ff9bc5e4b0328dcb7eaa5b","contributors":{"authors":[{"text":"Hennin, Holly","contributorId":168426,"corporation":false,"usgs":false,"family":"Hennin","given":"Holly","email":"","affiliations":[],"preferred":false,"id":625891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berlin, Alicia 0000-0002-5275-3077 aberlin@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-3077","contributorId":168416,"corporation":false,"usgs":true,"family":"Berlin","given":"Alicia","email":"aberlin@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":625857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Love, Oliver P.","contributorId":168427,"corporation":false,"usgs":false,"family":"Love","given":"Oliver","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":625892,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173789,"text":"70173789 - 2016 - Development of a bioenergetics model for the threespine stickleback Gasterosteus aculeatus","interactions":[],"lastModifiedDate":"2016-06-10T14:33:16","indexId":"70173789","displayToPublicDate":"2016-02-16T13:15:00","publicationYear":"2016","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":"Development of a bioenergetics model for the threespine stickleback Gasterosteus aculeatus","docAbstract":"The Threespine Stickleback Gasterosteus aculeatus is widely distributed across northern hemisphere ecosystems, has ecological influence as an abundant planktivore, and is commonly used as a model organism, but the species lacks a comprehensive model to describe bioenergetic performance in response to varying environmental or ecological conditions. This study parameterized a bioenergetics model for the Threespine Stickleback using laboratory measurements to determine mass- and temperature-dependent functions for maximum consumption and routine respiration costs. Maximum consumption experiments were conducted across a range of temperatures from 7.5°C to 23.0°C and a range of fish weights from 0.5 to 4.5 g. Respiration experiments were conducted across a range of temperatures from 8°C to 28°C. Model sensitivity was consistent with other comparable models in that the mass-dependent parameters for maximum consumption were the most sensitive. Growth estimates based on the Threespine Stickleback bioenergetics model suggested that 22°C is the optimal temperature for growth when food is not limiting. The bioenergetics model performed well when used to predict independent, paired measures of consumption and growth observed from a separate wild population of Threespine Sticklebacks. Predicted values for consumption and growth (expressed as percent body weight per day) only deviated from observed values by 2.0%. Our model should provide insight into the physiological performance of this species across a range of environmental conditions and be useful for quantifying the trophic impact of this species in food webs containing other ecologically or economically important species.
","language":"English","publisher":"CrossMark","doi":"10.1080/00028487.2015.1079554","usgsCitation":"Hovel, R.A., Beauchamp, D.A., Hansen, A., and Sorel, M.H., 2016, Development of a bioenergetics model for the threespine stickleback Gasterosteus aculeatus: Transactions of the American Fisheries Society, v. 144, no. 6, p. 1311-1321, https://doi.org/10.1080/00028487.2015.1079554.","productDescription":"10 p.","startPage":"1311","endPage":"1321","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058066","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"144","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-03","publicationStatus":"PW","scienceBaseUri":"575be4abe4b04f417c27f51b","contributors":{"authors":[{"text":"Hovel, Rachel A.","contributorId":171740,"corporation":false,"usgs":false,"family":"Hovel","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":638464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Adam G.","contributorId":103947,"corporation":false,"usgs":true,"family":"Hansen","given":"Adam G.","affiliations":[],"preferred":false,"id":638465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sorel, Mark H.","contributorId":171739,"corporation":false,"usgs":false,"family":"Sorel","given":"Mark","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":638466,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168353,"text":"70168353 - 2016 - Population connectivity and genetic structure of burbot (Lota lota) populations in the Wind River Basin, Wyoming","interactions":[],"lastModifiedDate":"2016-02-16T11:40:02","indexId":"70168353","displayToPublicDate":"2016-02-16T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Population connectivity and genetic structure of burbot (Lota lota) populations in the Wind River Basin, Wyoming","docAbstract":"Burbot (Lota lota) occur in the Wind River Basin in central Wyoming, USA, at the southwestern extreme of the species’ native range in North America. The most stable and successful of these populations occur in six glacially carved mountain lakes on three different tributary streams and one large main stem impoundment (Boysen Reservoir) downstream from the tributary populations. Burbot are rarely found in connecting streams and rivers, which are relatively small and high gradient, with a variety of potential barriers to upstream movement of fish. We used high-throughput genomic sequence data for 11,197 SNPs to characterize the genetic diversity, population structure, and connectivity among burbot populations on the Wind River system. Fish from Boysen Reservoir and lower basin tributary populations were genetically differentiated from those in the upper basin tributary populations. In addition, fish within the same tributary streams fell within the same genetic clusters, suggesting there is movement of fish between lakes on the same tributaries but that populations within each tributary system are isolated and genetically distinct from other populations. Observed genetic differentiation corresponded to natural and anthropogenic barriers, highlighting the importance of barriers to fish population connectivity and gene flow in human-altered linked lake-stream habitats.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-015-2422-y","usgsCitation":"Underwood, Z.E., Mandeville, E.G., and Walters, A.W., 2016, Population connectivity and genetic structure of burbot (Lota lota) populations in the Wind River Basin, Wyoming: Hydrobiologia, v. 765, no. 1, p. 329-342, https://doi.org/10.1007/s10750-015-2422-y.","productDescription":"14 p.","startPage":"329","endPage":"342","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059877","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":318069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Wind River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.390869140625,\n 42.90816007196054\n ],\n [\n -109.390869140625,\n 43.56447158721811\n ],\n [\n -108.0120849609375,\n 43.56447158721811\n ],\n [\n -108.0120849609375,\n 42.90816007196054\n ],\n [\n -109.390869140625,\n 42.90816007196054\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"765","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-02","publicationStatus":"PW","scienceBaseUri":"56c44830e4b0946c65211707","contributors":{"authors":[{"text":"Underwood, Zachary E.","contributorId":166946,"corporation":false,"usgs":false,"family":"Underwood","given":"Zachary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":620436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mandeville, Elizabeth G.","contributorId":166947,"corporation":false,"usgs":false,"family":"Mandeville","given":"Elizabeth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":620437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619793,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168482,"text":"70168482 - 2016 - Spatial and temporal trends of drought effects in a heterogeneous semi-arid forest ecosystem","interactions":[],"lastModifiedDate":"2016-02-16T13:26:05","indexId":"70168482","displayToPublicDate":"2016-02-16T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal trends of drought effects in a heterogeneous semi-arid forest ecosystem","docAbstract":"Drought has long been recognized as a driving mechanism in the forests of western North America and drought-induced mortality has been documented across genera in recent years. Given the frequency of these events are expected to increase in the future, understanding patterns of mortality and plant response to severe drought is important to resource managers. Drought can affect the functional, physiological, structural, and demographic properties of forest ecosystems. Remote sensing studies have documented changes in forest properties due to direct and indirect effects of drought; however, few studies have addressed this at local scales needed to characterize highly heterogeneous ecosystems in the forest-shrubland ecotone. We analyzed a 22-year Landsat time series (1985–2012) to determine changes in forest in an area that experienced a relatively dry decade punctuated by two years of extreme drought. We assessed the relationship between several vegetation indices and field measured characteristics (e.g. plant area index and canopy gap fraction) and applied these indices to trend analysis to uncover the location, direction and timing of change. Finally, we assessed the interaction of climate and topography by forest functional type. The Normalized Difference Moisture Index (NDMI), a measure of canopy water content, had the strongest correlation with short-term field measures of plant area index (R2 = 0.64) and canopy gap fraction (R2 = 0.65). Over the entire time period, 25% of the forested area experienced a significant (p-value < 0.05) negative trend in NDMI, compared to less than 10% in a positive trend. Coniferous forests were more likely to be associated with a negative NDMI trend than deciduous forest. Forests on southern aspects were least likely to exhibit a negative trend while north aspects were most prevalent. Field plots with a negative trend had a lower live density, and higher amounts of standing dead and down trees compared to plots with no trend. Our analysis identifies spatially explicit patterns of long-term trends anchored with ground based evidence to highlight areas of forest that are resistant, persistent or vulnerable to severe drought. The results provide a long-term perspective for the resource management of this area and can be applied to similar ecosystems throughout western North America.
","language":"English","publisher":"Elsevier Science Pub. Co.","publisherLocation":"New York, NY","doi":"10.1016/j.foreco.2016.01.017","usgsCitation":"Assal, T.J., Anderson, P.J., and Sibold, J., 2016, Spatial and temporal trends of drought effects in a heterogeneous semi-arid forest ecosystem: Forest Ecology and Management, v. 365, p. 137-151, https://doi.org/10.1016/j.foreco.2016.01.017.","productDescription":"15 p.","startPage":"137","endPage":"151","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070450","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471230,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2016.01.017","text":"Publisher Index Page"},{"id":318076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah, Wyoming","otherGeospatial":"Wyoming Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.5,\n 40.5\n ],\n [\n -109.5,\n 41.5\n ],\n [\n -108.5,\n 41.5\n ],\n [\n -108.5,\n 40.5\n ],\n [\n -109.5,\n 40.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"365","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c44831e4b0946c65211715","contributors":{"authors":[{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":620492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":620493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sibold, Jason","contributorId":10724,"corporation":false,"usgs":false,"family":"Sibold","given":"Jason","affiliations":[],"preferred":false,"id":620494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168367,"text":"70168367 - 2016 - Normalized burn ratios link fire severity with patterns of avian occurrence","interactions":[],"lastModifiedDate":"2018-12-20T13:00:09","indexId":"70168367","displayToPublicDate":"2016-02-16T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Normalized burn ratios link fire severity with patterns of avian occurrence","docAbstract":"Remotely sensed differenced normalized burn ratios (DNBR) provide an index of fire severity across the footprint of a fire. We asked whether this index was useful for explaining patterns of bird occurrence within fire adapted xeric pine-oak forests of the southern Appalachian Mountains.
We evaluated the use of DNBR indices for linking ecosystem process with patterns of bird occurrence. We compared field-based and remotely sensed fire severity indices and used each to develop occupancy models for six bird species to identify patterns of bird occurrence following fire.
We identified and sampled 228 points within fires that recently burned within Great Smoky Mountains National Park. We performed avian point counts and field-assessed fire severity at each bird census point. We also used Landsat™ imagery acquired before and after each fire to quantify fire severity using DNBR. We used non-parametric methods to quantify agreement between fire severity indices, and evaluated single season occupancy models incorporating fire severity summarized at different spatial scales.
Agreement between field-derived and remotely sensed measures of fire severity was influenced by vegetation type. Although occurrence models using field-derived indices of fire severity outperformed those using DNBR, summarizing DNBR at multiple spatial scales provided additional insights into patterns of occurrence associated with different sized patches of high severity fire.
DNBR is useful for linking the effects of fire severity to patterns of bird occurrence, and informing how high severity fire shapes patterns of bird species occurrence on the landscape.
Non-native piscivores can alter food web dynamics; therefore, evaluating interspecific relationships is vital for conservation and management of ecosystems with introduced fishes. Priest Lake, Idaho, supports a number of introduced species, including lake troutSalvelinus namaycush, brook trout S. fontinalis and opossum shrimp Mysis diluviana. In this study, we used stable isotopes (δ13C and δ15N) to describe the food web structure of Priest Lake and to test hypotheses about apparent patterns in lake trout growth. We found that isotopic niches of species using pelagic-origin carbon did not overlap with those using more littoral-origin carbon. Species using more littoral-origin carbon, such as brook trout and westslope cutthroat trout Oncorhynchus clarki lewisi, exhibited a high degree of isotopic niche overlap and high intrapopulation variability in resource use. Although we hypothesised that lake trout would experience an ontogenetic diet shift, no such patterns were apparent in isotopic signatures. Lake trout growth rates were not associated with patterns in δ15N, indicating that variation in adult body composition may not be related to adult diet. Understanding trophic relationships at both the individual and species levels provides a more complete understanding of food webs altered by non-native species.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/eff.12273","usgsCitation":"Ng, E.L., Fredericks, J.P., and Quist, M., 2016, Stable isotope evaluation of population- and individual-level diet variability in a large, oligotrophic lake with non-native lake trout: Ecology of Freshwater Fish, v. 26, no. 2, p. 271-279, https://doi.org/10.1111/eff.12273.","productDescription":"9 p.","startPage":"271","endPage":"279","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065567","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":318040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Lake Priest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.93161010742188,\n 48.46973457587732\n ],\n [\n -116.93161010742188,\n 48.747587086042216\n ],\n [\n -116.81831359863281,\n 48.747587086042216\n ],\n [\n -116.81831359863281,\n 48.46973457587732\n ],\n [\n -116.93161010742188,\n 48.46973457587732\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-12","publicationStatus":"PW","scienceBaseUri":"56c44832e4b0946c6521171c","chorus":{"doi":"10.1111/eff.12273","url":"http://dx.doi.org/10.1111/eff.12273","publisher":"Wiley-Blackwell","authors":"Ng Elizabeth L., Fredericks Jim P., Quist Michael C.","journalName":"Ecology of Freshwater Fish","publicationDate":"1/12/2016","publiclyAccessibleDate":"1/12/2016"},"contributors":{"authors":[{"text":"Ng, Elizabeth L.","contributorId":166901,"corporation":false,"usgs":false,"family":"Ng","given":"Elizabeth","email":"","middleInitial":"L.","affiliations":[{"id":13247,"text":"University of Idaho, Fish and Wildlife Sciences","active":true,"usgs":false}],"preferred":false,"id":620309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fredericks, Jim P.","contributorId":166902,"corporation":false,"usgs":false,"family":"Fredericks","given":"Jim","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":620310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. mquist@usgs.gov","contributorId":166707,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","email":"mquist@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":619810,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168354,"text":"70168354 - 2016 - Body size and condition influence migration timing of juvenile Arctic grayling","interactions":[],"lastModifiedDate":"2016-02-16T09:55:50","indexId":"70168354","displayToPublicDate":"2016-02-16T10:45:00","publicationYear":"2016","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":"Body size and condition influence migration timing of juvenile Arctic grayling","docAbstract":"Freshwater fishes utilising seasonally available habitats within annual migratory circuits time movements out of such habitats with changing hydrology, although individual attributes of fish may also mediate the behavioural response to environmental conditions. We tagged juvenile Arctic grayling in a seasonally flowing stream on the Arctic Coastal Plain in Alaska and recorded migration timing towards overwintering habitat. We examined the relationship between individual migration date, and fork length (FL) and body condition index (BCI) for fish tagged in June, July and August in three separate models. Larger fish migrated earlier; however, only the August model suggested a significant relationship with BCI. In this model, 42% of variability in migration timing was explained by FL and BCI, and fish in better condition were predicted to migrate earlier than those in poor condition. Here, the majority (33%) of variability was captured by FL with an additional 9% attributable to BCI. We also noted strong seasonal trends in BCI reflecting overwinter mass loss and subsequent growth within the study area. These results are interpreted in the context of size and energetic state-specific risks of overwinter starvation and mortality (which can be very high in the Arctic), which may influence individuals at greater risk to extend summer foraging in a risky, yet prey rich, habitat. Our research provides further evidence that heterogeneity among individuals within a population can influence migratory behaviour and identifies potential risks to late season migrants in Arctic beaded stream habitats influenced by climate change and petroleum development.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/eff.12199","usgsCitation":"Heim, K.C., Wipfli, M.S., Whitman, M.S., and Seitz, A.C., 2016, Body size and condition influence migration timing of juvenile Arctic grayling: Ecology of Freshwater Fish, v. 25, no. 1, p. 156-166, https://doi.org/10.1111/eff.12199.","productDescription":"11 p.","startPage":"156","endPage":"166","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059954","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":318041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Ublutuoch River","volume":"25","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-07","publicationStatus":"PW","scienceBaseUri":"56c44829e4b0946c652116c7","contributors":{"authors":[{"text":"Heim, Kurt C.","contributorId":138832,"corporation":false,"usgs":false,"family":"Heim","given":"Kurt","email":"","middleInitial":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":620311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitman, Matthew S.","contributorId":67961,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":620312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seitz, Andrew C.","contributorId":156324,"corporation":false,"usgs":true,"family":"Seitz","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":620313,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168373,"text":"70168373 - 2016 - Mercury remediation in wetland sediment using zero-valent iron and granular activated carbon","interactions":[],"lastModifiedDate":"2019-09-04T14:37:31","indexId":"70168373","displayToPublicDate":"2016-02-16T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Mercury remediation in wetland sediment using zero-valent iron and granular activated carbon","docAbstract":"Wetlands are hotspots for production of toxic methylmercury (MeHg) that can bioaccumulate in the food web. The objective of this study was to determine whether the application of zero-valent iron (ZVI) or granular activated carbon (GAC) to wetland sediment could reduce MeHg production and bioavailability to benthic organisms. Field mesocosms were installed in a wetland fringing Hodgdon Pond (Maine, USA), and ZVI and GAC were applied. Pore-water MeHg concentrations were lower in treated compared with untreated mesocosms; however, sediment MeHg, as well as total Hg (THg), concentrations were not significantly different between treated and untreated mesocosms, suggesting that smaller pore-water MeHg concentrations in treated sediment were likely due to adsorption to ZVI and GAC, rather than inhibition of MeHg production. In laboratory experiments with intact vegetated sediment clumps, amendments did not significantly change sediment THg and MeHg concentrations; however, the mean pore-water MeHg and MeHg:THg ratios were lower in the amended sediment than the control. In the laboratory microcosms, snails (Lymnaea stagnalis) accumulated less MeHg in sediment treated with ZVI or GAC. The study results suggest that both GAC and ZVI have potential for reducing MeHg bioaccumulation in wetland sediment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2015.11.047","usgsCitation":"Lewis, A.S., Huntington, T.G., Marvin-DiPasquale, M.C., and Amirbahman, A., 2016, Mercury remediation in wetland sediment using zero-valent iron and granular activated carbon: Environmental Pollution, v. 212, p. 366-373, https://doi.org/10.1016/j.envpol.2015.11.047.","productDescription":"8 p.","startPage":"366","endPage":"373","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067067","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":318036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"212","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c4482ce4b0946c652116f1","contributors":{"authors":[{"text":"Lewis, Ariel S.","contributorId":166710,"corporation":false,"usgs":false,"family":"Lewis","given":"Ariel","email":"","middleInitial":"S.","affiliations":[{"id":24494,"text":"Univ. of Maine","active":true,"usgs":false}],"preferred":false,"id":619821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":619822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":619820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amirbahman, Aria","contributorId":44031,"corporation":false,"usgs":true,"family":"Amirbahman","given":"Aria","email":"","affiliations":[],"preferred":false,"id":619823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}