{"pageNumber":"168","pageRowStart":"4175","pageSize":"25","recordCount":10462,"records":[{"id":70044519,"text":"fs20133010 - 2013 - Consequences of land use and land cover change","interactions":[],"lastModifiedDate":"2017-03-29T12:40:02","indexId":"fs20133010","displayToPublicDate":"2013-03-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3010","title":"Consequences of land use and land cover change","docAbstract":"The U.S. Geological Survey (USGS) Climate and Land Use Change Mission Area is one of seven USGS mission areas that focuses on making substantial scientific \"...contributions to understanding how Earth systems interact, respond to, and cause global change\". Using satellite and other remotely sensed data, USGS scientists monitor patterns of land cover change over space and time at regional, national, and global scales. These data are analyzed to understand the causes and consequences of changing land cover, such as economic impacts, effects on water quality and availability, the spread of invasive species, habitats and biodiversity, carbon fluctuations, and climate variability. USGS scientists are among the leaders in the study of land cover, which is a term that generally refers to the vegetation and artificial structures that cover the land surface. Examples of land cover include forests, grasslands, wetlands, water, crops, and buildings. Land use involves human activities that take place on the land. For example, \"grass\" is a land cover, whereas pasture and recreational parks are land uses that produce a cover of grass.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133010","usgsCitation":"Slonecker, E.T., Barnes, C., Karstensen, K., Milheim, L., and Roig-Silva, C., 2013, Consequences of land use and land cover change: U.S. Geological Survey Fact Sheet 2013-3010, 4 p., https://doi.org/10.3133/fs20133010.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":269064,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3010/"},{"id":269065,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3010/pdf/fs2013-3010.pdf"},{"id":269069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133010.gif"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513eeedde4b0dcc733969337","contributors":{"authors":[{"text":"Slonecker, E. Terrence 0000-0002-5793-0503","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":67175,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"","middleInitial":"Terrence","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":false,"id":475795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Christopher 0000-0002-4608-4364 barnes@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":3617,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"barnes@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":475794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karstensen, Krista","contributorId":97758,"corporation":false,"usgs":true,"family":"Karstensen","given":"Krista","affiliations":[],"preferred":false,"id":475796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milheim, Lesley E.","contributorId":100951,"corporation":false,"usgs":true,"family":"Milheim","given":"Lesley E.","affiliations":[],"preferred":false,"id":475797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roig-Silva, Coral M.","contributorId":108370,"corporation":false,"usgs":true,"family":"Roig-Silva","given":"Coral M.","affiliations":[],"preferred":false,"id":475798,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041964,"text":"70041964 - 2013 - Interactions between chemical and climate stressors: A role for mechanistic toxicology in assessing climate change risks","interactions":[],"lastModifiedDate":"2017-05-24T13:17:00","indexId":"70041964","displayToPublicDate":"2013-03-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between chemical and climate stressors: A role for mechanistic toxicology in assessing climate change risks","docAbstract":"Incorporation of global climate change (GCC) effects into assessments of chemical risk and injury requires integrated examinations of chemical and nonchemical stressors. Environmental variables altered by GCC (temperature, precipitation, salinity, pH) can influence the toxicokinetics of chemical absorption, distribution, metabolism, and excretion as well as toxicodynamic interactions between chemicals and target molecules. In addition, GCC challenges processes critical for coping with the external environment (water balance, thermoregulation, nutrition, and the immune, endocrine, and neurological systems), leaving organisms sensitive to even slight perturbations by chemicals when pushed to the limits of their physiological tolerance range. In simplest terms, GCC can make organisms more sensitive to chemical stressors, while alternatively, exposure to chemicals can make organisms more sensitive to GCC stressors. One challenge is to identify potential interactions between nonchemical and chemical stressors affecting key physiological processes in an organism. We employed adverse outcome pathways, constructs depicting linkages between mechanism-based molecular initiating events and impacts on individuals or populations, to assess how chemical- and climate-specific variables interact to lead to adverse outcomes. Case examples are presented for prospective scenarios, hypothesizing potential chemical–GCC interactions, and retrospective scenarios, proposing mechanisms for demonstrated chemical–climate interactions in natural populations. Understanding GCC interactions along adverse outcome pathways facilitates extrapolation between species or other levels of organization, development of hypotheses and focal areas for further research, and improved inputs for risk and resource injury assessments.","language":"English","publisher":"SETAC","publisherLocation":"Brussels, Belgium","doi":"10.1002/etc.2043","usgsCitation":"Hooper, M.J., Ankley, G., Cristol, D.A., Maryoung, L.A., Noyes, P.D., and Pinkerton, K.E., 2013, Interactions between chemical and climate stressors: A role for mechanistic toxicology in assessing climate change risks: Environmental Toxicology and Chemistry, v. 32, no. 1, p. 32-48, https://doi.org/10.1002/etc.2043.","productDescription":"17 p.","startPage":"32","endPage":"48","ipdsId":"IP-037983","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":473923,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3601417","text":"Publisher Index Page"},{"id":268749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268748,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2043"}],"volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-01","publicationStatus":"PW","scienceBaseUri":"513713f8e4b02ab8869bff9b","contributors":{"authors":[{"text":"Hooper, Michael J. 0000-0002-4161-8961 mhooper@usgs.gov","orcid":"https://orcid.org/0000-0002-4161-8961","contributorId":3251,"corporation":false,"usgs":true,"family":"Hooper","given":"Michael","email":"mhooper@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":470480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ankley, Gerald T.","contributorId":67382,"corporation":false,"usgs":true,"family":"Ankley","given":"Gerald T.","affiliations":[],"preferred":false,"id":470484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cristol, Daniel A.","contributorId":23039,"corporation":false,"usgs":false,"family":"Cristol","given":"Daniel","email":"","middleInitial":"A.","affiliations":[{"id":6686,"text":"College of William and Mary","active":true,"usgs":false}],"preferred":false,"id":470481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maryoung, Lindley A.","contributorId":62483,"corporation":false,"usgs":true,"family":"Maryoung","given":"Lindley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noyes, Pamela D.","contributorId":102763,"corporation":false,"usgs":true,"family":"Noyes","given":"Pamela","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":470485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pinkerton, Kent E.","contributorId":33194,"corporation":false,"usgs":true,"family":"Pinkerton","given":"Kent","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470482,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041953,"text":"70041953 - 2013 - Owyhee River intracanyon lava flows: does the river give a dam?","interactions":[],"lastModifiedDate":"2019-05-30T12:12:05","indexId":"70041953","displayToPublicDate":"2013-03-04T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Owyhee River intracanyon lava flows: does the river give a dam?","docAbstract":"Rivers carved into uplifted plateaus are commonly disrupted by discrete events from the surrounding landscape, such as lava flows or large mass movements. These disruptions are independent of slope, basin area, or channel discharge, and can dominate aspects of valley morphology and channel behavior for many kilometers. We document and assess the effects of one type of disruptive event, lava dams, on river valley morphology and incision rates at a variety of time scales, using examples from the Owyhee River in southeastern Oregon. Six sets of basaltic lava flows entered and dammed the river canyon during two periods in the late Cenozoic ca. 2 Ma–780 ka and 250–70 ka. The dams are strongly asymmetric, with steep, blunt escarpments facing up valley and long, low slopes down valley. None of the dams shows evidence of catastrophic failure; all blocked the river and diverted water over or around the dam crest. The net effect of the dams was therefore to inhibit rather than promote incision. Once incision resumed, most of the intracanyon flows were incised relatively rapidly and therefore did not exert a lasting impact on the river valley profile over time scales >10<sup>6</sup> yr. The net long-term incision rate from the time of the oldest documented lava dam, the Bogus Rim lava dam (≤1.7 Ma), to present was 0.18 mm/yr, but incision rates through or around individual lava dams were up to an order of magnitude greater. At least three lava dams (Bogus Rim, Saddle Butte, and West Crater) show evidence that incision initiated only after the impounded lakes filled completely with sediment and there was gravel transport across the dams. The most recent lava dam, formed by the West Crater lava flow around 70 ka, persisted for at least 25 k.y. before incision began, and the dam was largely removed within another 35 k.y. The time scale over which the lava dams inhibit incision is therefore directly affected by both the volume of lava forming the dam and the time required for sediment to fill the blocked valley. Variations in this primary process of incision through the lava dams could be influenced by additional independent factors such as regional uplift, drainage integration, or climate that affect the relative base level, discharge, and sediment yield within the watershed. By redirecting the river, tributaries, and subsequent lava flows to different parts of the canyon, lava dams create a distinct valley morphology of flat, broad basalt shelves capping steep cliffs of Tertiary sediment. This stratigraphy is conducive to landsliding and extends the effects of intracanyon lava flows on channel geomorphology beyond the lifetime of the dams.","language":"English","publisher":"GSA","publisherLocation":"Boulder, CO","doi":"10.1130/B30574.1","usgsCitation":"Ely, L.L., Brossy, C.C., House, P.K., Safran, E.B., O'Connor, J., Champion, D.E., Fenton, C.R., Bondre, N.R., Orem, C.A., Grant, G., Henry, C., and Turrin, B., 2013, Owyhee River intracanyon lava flows: does the river give a dam?: GSA Bulletin, v. 124, no. 11-12, p. 1667-1687, https://doi.org/10.1130/B30574.1.","productDescription":"21 p.","startPage":"1667","endPage":"1687","ipdsId":"IP-030638","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":268716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Owyhee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,42.0 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,42.0 ], [ -124.61,42.0 ] ] ] } } ] }","volume":"124","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2012-10-02","publicationStatus":"PW","scienceBaseUri":"5135c26ae4b03b8ec4025b2c","contributors":{"authors":[{"text":"Ely, Lisa L.","contributorId":19854,"corporation":false,"usgs":true,"family":"Ely","given":"Lisa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brossy, Cooper C.","contributorId":10303,"corporation":false,"usgs":true,"family":"Brossy","given":"Cooper","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":470468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"House, P. Kyle","contributorId":60374,"corporation":false,"usgs":true,"family":"House","given":"P.","email":"","middleInitial":"Kyle","affiliations":[],"preferred":false,"id":470475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Safran, Elizabeth B.","contributorId":10694,"corporation":false,"usgs":true,"family":"Safran","given":"Elizabeth","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":470469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":470471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":470466,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fenton, Cassandra R.","contributorId":58915,"corporation":false,"usgs":true,"family":"Fenton","given":"Cassandra","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":470474,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bondre, Ninad R.","contributorId":7152,"corporation":false,"usgs":true,"family":"Bondre","given":"Ninad","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":470467,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Orem, Caitlin A.","contributorId":60926,"corporation":false,"usgs":true,"family":"Orem","given":"Caitlin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470476,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grant, Gordon E.","contributorId":30881,"corporation":false,"usgs":false,"family":"Grant","given":"Gordon E.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":470472,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Henry, Christopher D.","contributorId":36556,"corporation":false,"usgs":true,"family":"Henry","given":"Christopher D.","affiliations":[],"preferred":false,"id":470473,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Turrin, Brent D.","contributorId":89867,"corporation":false,"usgs":true,"family":"Turrin","given":"Brent D.","affiliations":[],"preferred":false,"id":470477,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70093206,"text":"70093206 - 2013 - Application and evaluation of electromagnetic methods for imaging saltwater intrusion in coastal aquifers: Seaside Groundwater Basin, California","interactions":[],"lastModifiedDate":"2023-06-05T15:29:38.903757","indexId":"70093206","displayToPublicDate":"2013-03-01T13:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Application and evaluation of electromagnetic methods for imaging saltwater intrusion in coastal aquifers: Seaside Groundwater Basin, California","docAbstract":"Developing effective resource management strategies to limit or prevent saltwater intrusion as a result of increasing demands on coastal groundwater resources requires reliable information about the geologic structure and hydrologic state of an aquifer system. A common strategy for acquiring such information is to drill sentinel wells near the coast to monitor changes in water salinity with time. However, installation and operation of sentinel wells is costly and provides limited spatial coverage. We studied the use of noninvasive electromagnetic (EM) geophysical methods as an alternative to installation of monitoring wells for characterizing coastal aquifers. We tested the feasibility of using EM methods at a field site in northern California to identify the potential for and/or presence of hydraulic communication between an unconfined saline aquifer and a confined freshwater aquifer. One-dimensional soundings were acquired using the time-domain electromagnetic (TDEM) and audiomagnetotelluric (AMT) methods. We compared inverted resistivity models of TDEM and AMT data obtained from several inversion algorithms. We found that multiple interpretations of inverted models can be supported by the same data set, but that there were consistencies between all data sets and inversion algorithms. Results from all collected data sets suggested that EM methods are capable of reliably identifying a saltwater-saturated zone in the unconfined aquifer. Geophysical data indicated that the impermeable clay between aquifers may be more continuous than is supported by current models.","language":"English","publisher":"Society of Exploration Geophysics","doi":"10.1190/geo2012-0004.1","usgsCitation":"Nenna, V., Herckenrather, D., Knight, R., Odlum, N., and McPhee, D., 2013, Application and evaluation of electromagnetic methods for imaging saltwater intrusion in coastal aquifers: Seaside Groundwater Basin, California: Geophysics, v. 78, no. 2, p. B77-B88, https://doi.org/10.1190/geo2012-0004.1.","productDescription":"12 p.","startPage":"B77","endPage":"B88","numberOfPages":"12","ipdsId":"IP-038194","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":282025,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Fort Ord Dunes State Park, Seaside Groundwater Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.830556,36.629722 ], [ -121.830556,36.8 ], [ -121.7,36.8 ], [ -121.7,36.629722 ], [ -121.830556,36.629722 ] ] ] } } ] }","volume":"78","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4d8fe4b0b290850f18f2","contributors":{"authors":[{"text":"Nenna, Vanessa","contributorId":101982,"corporation":false,"usgs":true,"family":"Nenna","given":"Vanessa","email":"","affiliations":[],"preferred":false,"id":489978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herckenrather, Daan","contributorId":69469,"corporation":false,"usgs":true,"family":"Herckenrather","given":"Daan","email":"","affiliations":[],"preferred":false,"id":489975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Rosemary","contributorId":84245,"corporation":false,"usgs":true,"family":"Knight","given":"Rosemary","email":"","affiliations":[],"preferred":false,"id":489977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Odlum, Nick","contributorId":108390,"corporation":false,"usgs":true,"family":"Odlum","given":"Nick","email":"","affiliations":[],"preferred":false,"id":489979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McPhee, Darcy","contributorId":75848,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","affiliations":[],"preferred":false,"id":489976,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148698,"text":"70148698 - 2013 - Effect of long-term understory prescribed burning on standing and down dead woody material in dry upland oak forests","interactions":[],"lastModifiedDate":"2015-06-22T11:41:05","indexId":"70148698","displayToPublicDate":"2013-03-01T12:45:00","publicationYear":"2013","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":"Effect of long-term understory prescribed burning on standing and down dead woody material in dry upland oak forests","docAbstract":"<p>Dead woody material, long ignored or viewed as a nuisance for forest management, has gained appreciation for its many roles in the forest including wildlife habitat, nutrient storage and cycling, energy for trophic webs, protection of soil, fuel for fire and carbon storage. The growing interest in managing dead woody material has created strong demand for greater understanding of factors controlling amounts and turnover. Prescribed burning, an important management tool, may have strong effects of dead woody material given fire&rsquo;s capacity to create and consume dead woody material. We determined effects of long-term understory prescribed burning on standing and down woody material in upland oak forests in south-central North America. We hypothesized that as frequency of fire increased in these stands the amount of deadwood would decrease and the fine woody material would decrease more rapidly than coarse woody material. The study was conducted in forests dominated by post oak (<i>Quercus stellata</i>) and blackjack oak (<i>Quercus marilandica</i>) in wildlife management areas where understory prescribed burning had been practiced for over 20 years and the range of burn frequencies was 0 (unburned) fires per decade (FPD) to 4.6 FPD. The amount of deadwood was low compared with more productive forests in southeastern North America. The biomass (24.7 Mg ha<sup>-1</sup>) and carbon stocks (11.7 Mg ha<sup>-1</sup>) were distributed among standing dead (22%), coarse woody debris (CWD, dia. &gt; 7.5 cm., 12%), fine woody debris (FWD, dia. &lt; 7.5 cm., 23%), and forest floor (43%). There was no evidence that understory prescribed burning influenced the amount and size distribution of standing and down dead woody material. There were two explanations for the lack of a detectable effect. First, a high incidence of severe weather including ice storms and strong winds that produce large amounts of deadwood intermittently in an irregular pattern across the landscape may preclude detecting a strong effect of understory prescribed burning. Second, fire suppression during the first one-half of the 20th Century may have led to encroachment of woody plants into forest gaps and savannas creating a patchwork of young and old stands that produced deadwood of different sizes and at different rates.</p>","language":"English","publisher":"Elsevier Science","publisherLocation":"Amsterdam","doi":"10.1016/j.foreco.2012.10.048","collaboration":"Oklahoma Department of Wildlife Conservation; Oklahoma State University","usgsCitation":"Polo, J.A., Hallgren, S., and Leslie, D.M., 2013, Effect of long-term understory prescribed burning on standing and down dead woody material in dry upland oak forests: Forest Ecology and Management, v. 291, p. 128-135, https://doi.org/10.1016/j.foreco.2012.10.048.","productDescription":"8 p.","startPage":"128","endPage":"135","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039145","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"291","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558931b9e4b0b6d21dd61bd1","chorus":{"doi":"10.1016/j.foreco.2012.10.048","url":"http://dx.doi.org/10.1016/j.foreco.2012.10.048","publisher":"Elsevier BV","authors":"Polo John A., Hallgren Stephen W., Leslie David M.","journalName":"Forest Ecology and Management","publicationDate":"3/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Polo, John A.","contributorId":141527,"corporation":false,"usgs":false,"family":"Polo","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":549771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hallgren, S.W.","contributorId":97742,"corporation":false,"usgs":true,"family":"Hallgren","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":549772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leslie, David M. Jr. 0000-0002-3884-1484 cleslie@usgs.gov","orcid":"https://orcid.org/0000-0002-3884-1484","contributorId":2483,"corporation":false,"usgs":true,"family":"Leslie","given":"David","suffix":"Jr.","email":"cleslie@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":549065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191526,"text":"70191526 - 2013 - Implications of the Mw9.0 Tohoku-Oki earthquake for ground motion scaling with source, path, and site parameters","interactions":[],"lastModifiedDate":"2017-10-17T11:44:12","indexId":"70191526","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Implications of the M<sub>w</sub>9.0 Tohoku-Oki earthquake for ground motion scaling with source, path, and site parameters","title":"Implications of the Mw9.0 Tohoku-Oki earthquake for ground motion scaling with source, path, and site parameters","docAbstract":"<p><span>The M</span><sub>w</sub><span>9.0 Tohoku-oki Japan earthquake produced approximately 2,000 ground motion recordings. We consider 1,238 three-component accelerograms corrected with component-specific low-cut filters. The recordings have rupture distances between 44 km and 1,000 km, time-averaged shear wave velocities of<span>&nbsp;</span></span><i>V<sub>S</sub></i><sub>30</sub><span><span>&nbsp;</span>= 90 m/s to 1,900 m/s, and usable response spectral periods of 0.01 sec to &gt;10 sec. The data support the notion that the increase of ground motions with magnitude saturates at large magnitudes. High-frequency ground motions demonstrate faster attenuation with distance in backarc than in forearc regions, which is only captured by one of the four considered ground motion prediction equations for subduction earthquakes. Recordings within 100 km of the fault are used to estimate event terms, which are generally positive (indicating model underprediction) at short periods and zero or negative (overprediction) at long periods. We find site amplification to scale minimally with<span>&nbsp;</span></span><i>V<sub>S</sub></i><sub>30</sub><span><span>&nbsp;</span>at high frequencies, in contrast with other active tectonic regions, but to scale strongly with<span>&nbsp;</span></span><i>V<sub>S</sub></i><sub>30</sub><span><span>&nbsp;</span>at low frequencies.</span></p>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/1.4000115","usgsCitation":"Stewart, J.P., Midorikawa, S., Graves, R.W., Khodaverdi, K., Kishida, T., Miura, H., Bozorgnia, Y., and Campbell, K.W., 2013, Implications of the Mw9.0 Tohoku-Oki earthquake for ground motion scaling with source, path, and site parameters: Earthquake Spectra, v. 29, no. S1, p. S1-S21, https://doi.org/10.1193/1.4000115.","productDescription":"21 p.","startPage":"S1","endPage":"S21","ipdsId":"IP-042067","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"S1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-01","publicationStatus":"PW","scienceBaseUri":"59e71695e4b05fe04cd331f2","contributors":{"authors":[{"text":"Stewart, Jonathan P.","contributorId":100110,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":712796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Midorikawa, Saburoh","contributorId":197120,"corporation":false,"usgs":false,"family":"Midorikawa","given":"Saburoh","email":"","affiliations":[],"preferred":false,"id":712797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Robert W. rwgraves@usgs.gov","contributorId":3149,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","middleInitial":"W.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":712798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Khodaverdi, Khatareh","contributorId":197119,"corporation":false,"usgs":false,"family":"Khodaverdi","given":"Khatareh","email":"","affiliations":[],"preferred":false,"id":712799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kishida, Tadahiro","contributorId":140538,"corporation":false,"usgs":false,"family":"Kishida","given":"Tadahiro","email":"","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":712800,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miura, Hiroyuki","contributorId":197118,"corporation":false,"usgs":false,"family":"Miura","given":"Hiroyuki","email":"","affiliations":[],"preferred":false,"id":712801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bozorgnia, Yousef","contributorId":197121,"corporation":false,"usgs":false,"family":"Bozorgnia","given":"Yousef","email":"","affiliations":[],"preferred":false,"id":712802,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Campbell, Kenneth W.","contributorId":74391,"corporation":false,"usgs":false,"family":"Campbell","given":"Kenneth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":712803,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70148142,"text":"70148142 - 2013 - Factors influencing survival and mark retention in postmetamorphic boreal chorus frogs","interactions":[],"lastModifiedDate":"2015-05-27T13:58:03","indexId":"70148142","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing survival and mark retention in postmetamorphic boreal chorus frogs","docAbstract":"<p><span>The ability to track individual animals is crucial in many field studies and often requires applying marks to captured individuals. Toe clipping has historically been a standard marking method for wild amphibian populations, but more recent marking methods include visual implant elastomer and photo identification. Unfortunately, few studies have investigated the influence and effectiveness of marking methods for recently metamorphosed individuals and as a result little is known about this life-history phase for most amphibians. Our focus was to explore survival probabilities, mark retention, and mark migration in postmetamorphic Boreal Chorus Frogs (</span><i>Psuedacris maculata</i><span>) in a laboratory setting. One hundred forty-seven individuals were assigned randomly to two treatment groups or a control group. Frogs in the first treatment group were marked with visual implant elastomer, while frogs in the second treatment group were toe clipped. Growth and mortality were recorded for one year and resulting data were analyzed using known-fate models in Program MARK. Model selection results suggested that survival probabilities of frogs varied with time and showed some variation among marking treatments. We found that frogs with multiple toes clipped on the same foot had lower survival probabilities than individuals in other treatments, but individuals can be marked by clipping a single toe on two different feet without any mark loss or negative survival effects. Individuals treated with visual implant elastomer had a mark migration rate of 4% and mark loss rate of 6%, and also showed very little negative survival impacts relative to control individuals.</span></p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CH-12-129","usgsCitation":"Swanson, J.E., Bailey, L., Muths, E.L., and Funk, W.C., 2013, Factors influencing survival and mark retention in postmetamorphic boreal chorus frogs: Copeia, v. 2013, no. 4, p. 670-675, https://doi.org/10.1643/CH-12-129.","productDescription":"6 p.","startPage":"670","endPage":"675","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045724","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":300866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566eac7e4b0d9246a9ec2e1","contributors":{"authors":[{"text":"Swanson, Jennifer E.","contributorId":140894,"corporation":false,"usgs":false,"family":"Swanson","given":"Jennifer","email":"","middleInitial":"E.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":547478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":547477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":547476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":547479,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044146,"text":"70044146 - 2013 - Assessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study","interactions":[],"lastModifiedDate":"2017-05-10T15:48:47","indexId":"70044146","displayToPublicDate":"2013-02-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study","docAbstract":"Cross-calibration of satellite sensors permits the quantitative comparison of measurements obtained from different Earth Observing (EO) systems. Cross-calibration studies usually use simultaneous or near-simultaneous observations from several spaceborne sensors to develop band-by-band relationships through regression analysis. The investigation described in this paper focuses on evaluation of the uncertainties inherent in the cross-calibration process, including contributions due to different spectral responses, spectral resolution, spectral filter shift, geometric misregistrations, and spatial resolutions. The hyperspectral data from the Environmental Satellite SCanning Imaging Absorption SpectroMeter for Atmospheric CartograpHY and the EO-1 Hyperion, along with the relative spectral responses (RSRs) from the Landsat 7 Enhanced Thematic Mapper (TM) Plus and the Terra Moderate Resolution Imaging Spectroradiometer sensors, were used for the spectral uncertainty study. The data from Landsat 5 TM over five representative land cover types (desert, rangeland, grassland, deciduous forest, and coniferous forest) were used for the geometric misregistrations and spatial-resolution study. The spectral resolution uncertainty was found to be within 0.25%, spectral filter shift within 2.5%, geometric misregistrations within 0.35%, and spatial-resolution effects within 0.1% for the Libya 4 site. The one-sigma uncertainties presented in this paper are uncorrelated, and therefore, the uncertainties can be summed orthogonally. Furthermore, an overall total uncertainty was developed. In general, the results suggested that the spectral uncertainty is more dominant compared to other uncertainties presented in this paper. Therefore, the effect of the sensor RSR differences needs to be quantified and compensated to avoid large uncertainties in cross-calibration results.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"Washington, D.C.","doi":"10.1109/TGRS.2012.2228008","usgsCitation":"Chander, G., Helder, D., Aaron, D., Mishra, N., and Shrestha, A., 2013, Assessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study: IEEE Transactions on Geoscience and Remote Sensing, v. 51, no. 3, p. 1282-1296, https://doi.org/10.1109/TGRS.2012.2228008.","productDescription":"15 p.","startPage":"1282","endPage":"1296","ipdsId":"IP-039167","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":268519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"512f2af9e4b0cad81a732d77","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":474896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helder, D. L. 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":51496,"corporation":false,"usgs":true,"family":"Helder","given":"D. L.","affiliations":[],"preferred":false,"id":474897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aaron, David","contributorId":83809,"corporation":false,"usgs":false,"family":"Aaron","given":"David","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":474899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mishra, N.","contributorId":67379,"corporation":false,"usgs":true,"family":"Mishra","given":"N.","email":"","affiliations":[],"preferred":false,"id":474898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, A.K.","contributorId":104783,"corporation":false,"usgs":true,"family":"Shrestha","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":474900,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044100,"text":"70044100 - 2013 - Underestimating the effects of spatial heterogeneity due to individual movement and spatial scale: infectious disease as an example","interactions":[],"lastModifiedDate":"2013-02-26T17:59:42","indexId":"70044100","displayToPublicDate":"2013-02-26T00:00:00","publicationYear":"2013","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":"Underestimating the effects of spatial heterogeneity due to individual movement and spatial scale: infectious disease as an example","docAbstract":"Many ecological and epidemiological studies occur in systems with mobile individuals and heterogeneous landscapes. Using a simulation model, we show that the accuracy of inferring an underlying biological process from observational data depends on movement and spatial scale of the analysis. As an example, we focused on estimating the relationship between host density and pathogen transmission. Observational data can result in highly biased inference about the underlying process when individuals move among sampling areas. Even without sampling error, the effect of host density on disease transmission is underestimated by approximately 50 % when one in ten hosts move among sampling areas per lifetime. Aggregating data across larger regions causes minimal bias when host movement is low, and results in less biased inference when movement rates are high. However, increasing data aggregation reduces the observed spatial variation, which would lead to the misperception that a spatially targeted control effort may not be very effective. In addition, averaging over the local heterogeneity will result in underestimating the importance of spatial covariates. Minimizing the bias due to movement is not just about choosing the best spatial scale for analysis, but also about reducing the error associated with using the sampling location as a proxy for an individual’s spatial history. This error associated with the exposure covariate can be reduced by choosing sampling regions with less movement, including longitudinal information of individuals’ movements, or reducing the window of exposure by using repeated sampling or younger individuals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10980-012-9830-4","usgsCitation":"Cross, P.C., Caillaud, D., and Heisey, D.M., 2013, Underestimating the effects of spatial heterogeneity due to individual movement and spatial scale: infectious disease as an example: Landscape Ecology, v. 28, no. 2, p. 247-257, https://doi.org/10.1007/s10980-012-9830-4.","productDescription":"11 p.","startPage":"247","endPage":"257","ipdsId":"IP-034645","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":268415,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10980-012-9830-4"},{"id":268416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-11-30","publicationStatus":"PW","scienceBaseUri":"53cd7a2ae4b0b2908510d4ed","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caillaud, Damien","contributorId":31650,"corporation":false,"usgs":true,"family":"Caillaud","given":"Damien","email":"","affiliations":[],"preferred":false,"id":474811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heisey, Dennis M. dheisey@usgs.gov","contributorId":2455,"corporation":false,"usgs":true,"family":"Heisey","given":"Dennis","email":"dheisey@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":474809,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043953,"text":"70043953 - 2013 - An ecohydraulic model to identify and monitor moapa dace habitat","interactions":[],"lastModifiedDate":"2013-02-25T10:27:58","indexId":"70043953","displayToPublicDate":"2013-02-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"An ecohydraulic model to identify and monitor moapa dace habitat","docAbstract":"Moapa dace (<i>Moapa coriacea</i>) is a critically endangered thermophilic minnow native to the Muddy River ecosystem in southeastern Nevada, USA. Restricted to temperatures between 26.0 and 32.0°C, these fish are constrained to the upper two km of the Muddy River and several small tributaries fed by warm springs. Habitat alterations, nonnative species invasion, and water withdrawals during the 20th century resulted in a drastic decline in the dace population and in 1979 the Moapa Valley National Wildlife Refuge (Refuge) was created to protect them. The goal of our study was to determine the potential effects of reduced surface flows that might result from groundwater pumping or water diversions on Moapa dace habitat inside the Refuge. We accomplished our goal in several steps. First, we conducted snorkel surveys to determine the locations of Moapa dace on three warm-spring tributaries of the Muddy River. Second, we conducted hydraulic simulations over a range of flows with a two-dimensional hydrodynamic model. Third, we developed a set of Moapa dace habitat models with logistic regression and a geographic information system. Fourth, we estimated Moapa dace habitat over a range of flows (plus or minus 30% of base flow). Our spatially explicit habitat models achieved classification accuracies between 85% and 91%, depending on the snorkel survey and creek. Water depth was the most significant covariate in our models, followed by substrate, Froude number, velocity, and water temperature. Hydraulic simulations showed 2-11% gains in dace habitat when flows were increased by 30%, and 8-32% losses when flows were reduced by 30%. To ensure the health and survival of Moapa dace and the Muddy River ecosystem, groundwater and surface-water withdrawals and diversions need to be carefully monitored, while fully implementing a proactive conservation strategy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0055551","usgsCitation":"Hatten, J.R., Batt, T.R., Scoppettone, G.G., and Dixon, C.J., 2013, An ecohydraulic model to identify and monitor moapa dace habitat: PLoS ONE, v. 8, no. 2, 12 p., https://doi.org/10.1371/journal.pone.0055551.","productDescription":"12 p.","numberOfPages":"12","ipdsId":"IP-040200","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0055551","text":"Publisher Index Page"},{"id":268203,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0055551"},{"id":268204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.720236063,36.7088462532 ], [ -114.720236063,36.7149528124 ], [ -114.7083055973,36.7149528124 ], [ -114.7083055973,36.7088462532 ], [ -114.720236063,36.7088462532 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-07","publicationStatus":"PW","scienceBaseUri":"512c87e7e4b0855fde66972c","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batt, Thomas R. tbatt@usgs.gov","contributorId":3432,"corporation":false,"usgs":true,"family":"Batt","given":"Thomas","email":"tbatt@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scoppettone, Gayton G. gary_scoppettone@usgs.gov","contributorId":2848,"corporation":false,"usgs":true,"family":"Scoppettone","given":"Gayton","email":"gary_scoppettone@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dixon, Christopher J.","contributorId":42110,"corporation":false,"usgs":true,"family":"Dixon","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043954,"text":"70043954 - 2013 - Potential effects of changes in temperature and food resources on life history trajectories of juvenile <i>Oncorhynchus mykiss</i>","interactions":[],"lastModifiedDate":"2016-05-04T14:33:36","indexId":"70043954","displayToPublicDate":"2013-02-24T00:00:00","publicationYear":"2013","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":"Potential effects of changes in temperature and food resources on life history trajectories of juvenile <i>Oncorhynchus mykiss</i>","docAbstract":"<p>Increasing temperatures and changes in food resources owing to climate change may alter the growth and migratory behavior of organisms. This is particularly important for salmonid species like <i>Oncorhynchus mykiss</i>, where some individuals remain in freshwater to mature (nonanadromous Rainbow Trout) and others migrate to sea (anadromous Steelhead). Whether one strategy is adopted over the other may depend on the individual's growth and size. In this study, we explored (1) how water temperature in Beaver Creek, a tributary to the Methow River, Washington, may increase under four climate scenarios, (2) how these thermal changes may alter the life history trajectory followed by <i>O. mykiss</i> (i.e., when and if to smolt), and (3) how changes in food quality or quantity might interact with increasing temperatures. We combined bioenergetic and state-dependent life history models parameterized for <i>O. mykiss</i> in Beaver Creek to mimic baseline life history trajectories. Based on our simulations, when mean water temperature was increased by 0.6&deg;C there was a reduction in life history diversity and a 57% increase in the number of individuals becoming smolts. When mean temperature was increased by 2.7&deg;C, it resulted in 87% fewer smolts than in the baseline and fewer life history trajectories expressed. A reduction in food resources led to slower growth, more life history trajectories, and a greater proportion of smolts. In contrast, when food resources were increased, fish grew faster, which reduced the proportion of smolts and life history diversity. Our modeling suggests that warmer water temperatures associated with climate change could decrease the life history diversity of <i>O. mykiss</i> in the central portion of their range and thereby reduce resiliency to other disturbances. In addition, changes in food resources could mediate or exacerbate the effect of water temperature on the life history trajectories of <i>O. mykiss</i>.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2012.728162","usgsCitation":"Benjamin, J.R., Connolly, P., Romine, J.G., and Perry, R.W., 2013, Potential effects of changes in temperature and food resources on life history trajectories of juvenile <i>Oncorhynchus mykiss</i>: Transactions of the American Fisheries Society, v. 142, no. 1, p. 208-220, https://doi.org/10.1080/00028487.2012.728162.","productDescription":"13 p.","startPage":"208","endPage":"220","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034810","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":268206,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"142","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-12-21","publicationStatus":"PW","scienceBaseUri":"512c961be4b0855fde6697f6","contributors":{"authors":[{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":474544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474541,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044218,"text":"70044218 - 2013 - Distribution of invasive ants and methods for their control in Hawai'i Volcanoes National Park","interactions":[],"lastModifiedDate":"2018-01-05T12:37:34","indexId":"70044218","displayToPublicDate":"2013-02-20T14:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-040","title":"Distribution of invasive ants and methods for their control in Hawai'i Volcanoes National Park","docAbstract":"<div class=\"page\" title=\"Page 8\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p><span>The first invasive ants were detected in Hawai`i Volcanoes National Park (HAVO) more than 80 years ago. Ecological impacts of these ants are largely unknown, but studies in Hawai`i and elsewhere increasingly show that invasive ants can reduce abundance and diversity of native arthropod communities as well as disrupt pollination and food webs. Prior to the present study, knowledge of ant distributions in HAVO has primarily been restricted to road- and trail-side </span><span>surveys of the Kīlauea and Mauna Loa Strip sections of the park. </span><span>Due to the risks that ants pose to HAVO resources, understanding their distributions and identifying tools to eradicate or control populations of the most aggressive species is an important objective of park managers. We mapped ant distributions in two of the most intensively managed sections of the park, Mauna Loa Strip and Kahuku. We also tested the efficacy of baits to control the Argentine ant (<i>Linepithema humile</i>) and the big-headed ant (<i>Pheidole megacephala</i>), two of the most aggressive and ecologically destructive species in Hawai`i. Efficacy testing of formicidal bait was designed to provide park managers with options for eradicating small populations or controlling populations that occur at levels beyond which they can be eradicated. </span></p>\n<p><span>Within the Mauna Loa Strip and Kahuku sections of HAVO we conducted systematic surveys of ant distributions at 1625 stations covering nearly 200 km of roads, fences, and transects between August 2008 and April 2010. Overall, 15 ant species were collected in the two areas, with 12 being found on Mauna Loa Strip and 11 at Kahuku. <i>Cardiocondyla kagutsuchi</i> was most widespread at both sites, ranging in elevation from 920 to 2014 m, and was the only species found above 1530 m. Argentine ants and big-headed ants were also found in both areas, but their distributions did not overlap. Surveys of Argentine ants identified areas of infestation covering 560 ha at Mauna Loa Strip and 585 ha at Kahuku. At both sites, upper boundaries of big-headed ants coincided with lower boundaries of Argentine ants. Significantly, <i>Wasmannia auropunctata</i> (little fire ant) was not detected during our surveys. </span></p>\n<p><span>Formicidal baits tested for controlling Argentine ants included Xstinguish<sup>TM</sup> (containing fipronil at 0.01%), Maxforce</span><sup><span>&reg; </span></sup><span>(hydramethylnon 1.0%), and Australian Distance</span><sup><span>&reg; </span></sup><span>(pyriproxyfen 0.5%). Each bait was distributed evenly over four 2500 m</span><sup><span>2 </span></sup><span>replicate plots. Applications were repeated approximately four weeks after the initial treatment. Plots were subdivided into 25 subplots and ants monitored within each subplot using paper cards containing tuna bait at approximately one week intervals for about 14 weeks. All treatments reduced ant numbers, but none eradicated ants on any of the plots. Xstinguish<sup>TM</sup> produced a strong and lasting effect, depressing ant abundance below 1% of control plot levels within the first week and for about eight weeks afterward. Maxforce</span><sup><span>&reg; </span></sup><span>was slower to attain maximum effectiveness, reducing ants to 8% of control levels after one week and 3% after six weeks. Australian Distance</span><sup><span>&reg; </span></sup><span>was least effective, decreasing ant abundance to 19% of control levels after one week with numbers subsequently rebounding to 40% of controls at four weeks and 72% at 10 weeks. In measurements of the proportion of bait cards at which ants were detected, Xstinguish<sup>TM</sup> clearly out-performed Maxforce</span><sup><span>&reg;</span></sup><span>, reaching a minimum detection rate of 3% of bait cards at one week compared to a low of 19% for Maxforce</span><sup><span>&reg; </span></sup><span>two weeks following the second treatment. Although ant abundances were dramatically reduced on Xstinguish<sup>TM</sup> plots, it is not currently registered for use in the USA. Our results suggest that ant abundance can be greatly reduced using registered baits, but further research is needed before even small-scale eradication of Argentine ants can be achieved.&nbsp;</span></p>\n<div class=\"page\" title=\"Page 9\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p><span>Formicidal baits tested to control big-headed ants included Amdro</span><sup><span>&reg; </span></sup><span>(hydramethylnon 0.75%), Xstinguish<sup>TM</sup> (fipronil 0.01%), Extinguish</span><sup><span>&reg; </span></sup><span>Plus (a blend of hydramethylnon 0.365% and S- methoprene 0.25%), and Australian Distance</span><sup><span>&reg; </span></sup><span>Plus (hydramethylnon 0.365% and pyriproxyfen 0.25%). Application methods were the same as used for Argentine ants, with baits being applied on two occasions (approximately four weeks apart) on four 2500 m</span><sup><span>2 </span></sup><span>replicate plots. All four baits reduced populations to below 2% of control plot levels within one week of treatment. Amdro</span><sup><span>&reg; </span></sup><span>was particularly effective as no ants were detected on two of the four Amdro</span><sup><span>&reg; </span></sup><span>plots immediately following treatment. Suppression was long-lived in three of the treatments; Amdro</span><sup><span>&reg;</span></sup><span>, Australian Distance</span><sup><span>&reg; </span></sup><span>Plus, and Extinguish</span><sup><span>&reg; </span></sup><span>Plus all maintained ant abundances at levels less than 1% of control plots over 12 weeks of study. In contrast, ant abundances in Xstinguish<sup>TM</sup> plots rose to 7% of control plots after four weeks and 20% after 10 weeks. Our results corroborate other recent studies indicating that small populations of big-headed ants can be controlled in natural areas using products registered in the USA.&nbsp;</span></p>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>","publisher":"University of Hawaii at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Peck, R.W., Banko, P.C., Snook, K., and Euaparadorn, M., 2013, Distribution of invasive ants and methods for their control in Hawai'i Volcanoes National Park: Technical Report HCSU-040, v, 48 p.","productDescription":"v, 48 p.","numberOfPages":"55","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042832","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328013,"type":{"id":15,"text":"Index Page"},"url":"https://dspace.lib.hawaii.edu/handle/10790/2626"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.8026123046875,\n              19.066011797810056\n            ],\n            [\n              -155.8026123046875,\n              19.303367019780328\n            ],\n            [\n              -155.46890258789062,\n              19.303367019780328\n            ],\n            [\n              -155.46890258789062,\n              19.066011797810056\n            ],\n            [\n              -155.8026123046875,\n              19.066011797810056\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.42221069335938,\n              19.399249278602312\n            ],\n            [\n              -155.42221069335938,\n              19.651640912520307\n            ],\n            [\n              -155.09674072265625,\n              19.651640912520307\n            ],\n            [\n              -155.09674072265625,\n              19.399249278602312\n            ],\n            [\n              -155.42221069335938,\n              19.399249278602312\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad45e4b05e859bdfb8cf","contributors":{"authors":[{"text":"Peck, Robert W.","contributorId":45629,"corporation":false,"usgs":true,"family":"Peck","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":644978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":644979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snook, Kirsten","contributorId":173527,"corporation":false,"usgs":false,"family":"Snook","given":"Kirsten","email":"","affiliations":[],"preferred":false,"id":644980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Euaparadorn, Melody","contributorId":119927,"corporation":false,"usgs":true,"family":"Euaparadorn","given":"Melody","email":"","affiliations":[],"preferred":false,"id":644981,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044451,"text":"70044451 - 2013 - Mass fractionation of noble gases in synthetic methane hydrate: Implications for naturally occurring gas hydrate dissociation","interactions":[],"lastModifiedDate":"2013-03-12T15:40:26","indexId":"70044451","displayToPublicDate":"2013-02-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mass fractionation of noble gases in synthetic methane hydrate: Implications for naturally occurring gas hydrate dissociation","docAbstract":"As a consequence of contemporary or longer term (since 15 ka) climate warming, gas hydrates in some settings may presently be dissociating and releasing methane and other gases to the ocean-atmosphere system. A key challenge in assessing the impact of dissociating gas hydrates on global atmospheric methane is the lack of a technique able to distinguish between methane recently released from gas hydrates and methane emitted from leaky thermogenic reservoirs, shallow sediments (some newly thawed), coal beds, and other sources. Carbon and deuterium stable isotopic fractionation during methane formation provides a first-order constraint on the processes (microbial or thermogenic) of methane generation. However, because gas hydrate formation and dissociation do not cause significant isotopic fractionation, a stable isotope-based hydrate-source determination is not possible. Here, we investigate patterns of mass-dependent noble gas fractionation within the gas hydrate lattice to fingerprint methane released from gas hydrates. Starting with synthetic gas hydrate formed under laboratory conditions, we document complex noble gas fractionation patterns in the gases liberated during dissociation and explore the effects of aging and storage (e.g., in liquid nitrogen), as well as sampling and preservation procedures. The laboratory results confirm a unique noble gas fractionation pattern for gas hydrates, one that shows promise in evaluating modern natural gas seeps for a signature associated with gas hydrate dissociation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.chemgeo.2012.09.033","usgsCitation":"Hunt, A.G., Stern, L., Pohlman, J., Ruppel, C., Moscati, R.J., and Landis, G.P., 2013, Mass fractionation of noble gases in synthetic methane hydrate: Implications for naturally occurring gas hydrate dissociation: Chemical Geology, v. 339, p. 242-250, https://doi.org/10.1016/j.chemgeo.2012.09.033.","productDescription":"9 p.","startPage":"242","endPage":"250","numberOfPages":"9","additionalOnlineFiles":"N","ipdsId":"IP-041110","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473951,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5862","text":"External Repository"},{"id":269182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269181,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2012.09.033"}],"volume":"339","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404e7fe4b089809dbf447e","contributors":{"authors":[{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":475637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stern, Laura","contributorId":72677,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","affiliations":[],"preferred":false,"id":475641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pohlman, John W.","contributorId":95288,"corporation":false,"usgs":true,"family":"Pohlman","given":"John W.","affiliations":[],"preferred":false,"id":475642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruppel, Carolyn cruppel@usgs.gov","contributorId":2015,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":475638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":475639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landis, Gary P.","contributorId":72405,"corporation":false,"usgs":true,"family":"Landis","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":475640,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70058575,"text":"70058575 - 2013 - Integrating stations from the North America Gravity Database into a local GPS-based land gravity survey","interactions":[],"lastModifiedDate":"2013-12-10T09:38:02","indexId":"70058575","displayToPublicDate":"2013-02-10T09:29:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Integrating stations from the North America Gravity Database into a local GPS-based land gravity survey","docAbstract":"The ability to augment local gravity surveys with additional gravity stations from easily accessible national databases can greatly increase the areal coverage and spatial resolution of a survey. It is, however, necessary to integrate such data seamlessly with the local survey. One challenge to overcome in integrating data from national databases is that these data are typically of unknown quality. This study presents a procedure for the evaluation and seamless integration of gravity data of unknown quality from a national database with data from a local Global Positioning System (GPS)-based survey. The starting components include the latitude, longitude, elevation and observed gravity at each station location. Interpolated surfaces of the complete Bouguer anomaly are used as a means of quality control and comparison. The result is an integrated dataset of varying quality with many stations having GPS accuracy and other reliable stations of unknown origin, yielding a wider coverage and greater spatial resolution than either survey alone.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jappgeo.2012.11.011","usgsCitation":"Shoberg, T.G., and Stoddard, P.R., 2013, Integrating stations from the North America Gravity Database into a local GPS-based land gravity survey: Journal of Applied Geophysics, v. 89, p. 76-83, https://doi.org/10.1016/j.jappgeo.2012.11.011.","productDescription":"8 p.","startPage":"76","endPage":"83","numberOfPages":"8","ipdsId":"IP-027895","costCenters":[{"id":161,"text":"Center of Excellence for Geospatial Information Science (CEGIS)","active":false,"usgs":true}],"links":[{"id":280239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280238,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jappgeo.2012.11.011"}],"country":"United States","state":"Missouri","otherGeospatial":"Crooked Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.7741,35.9957 ], [ -95.7741,40.6136 ], [ -89.0988,40.6136 ], [ -89.0988,35.9957 ], [ -95.7741,35.9957 ] ] ] } } ] }","volume":"89","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd62bce4b0b290850fe5db","contributors":{"authors":[{"text":"Shoberg, Thomas G. 0000-0003-0173-1246 tshoberg@usgs.gov","orcid":"https://orcid.org/0000-0003-0173-1246","contributorId":3764,"corporation":false,"usgs":true,"family":"Shoberg","given":"Thomas","email":"tshoberg@usgs.gov","middleInitial":"G.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":487177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoddard, Paul R.","contributorId":7606,"corporation":false,"usgs":true,"family":"Stoddard","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":487178,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043155,"text":"70043155 - 2013 - Occurrence and persistence of fungicides in bed sediments and suspended solids from three targeted use areas in the United States","interactions":[],"lastModifiedDate":"2021-05-28T14:41:25.521242","indexId":"70043155","displayToPublicDate":"2013-02-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence and persistence of fungicides in bed sediments and suspended solids from three targeted use areas in the United States","docAbstract":"To document the environmental occurrence and persistence of fungicides, a robust and sensitive analytical method was used to measure 34 fungicides and an additional 57 current-use pesticides in bed sediments and suspended solids collected from areas of intense fungicide use within three geographic areas across the United States. Sampling sites were selected near or within agricultural research farms using prophylactic fungicides at rates and types typical of their geographic location. At least two fungicides were detected in 55% of the bed and 83% of the suspended solid samples and were detected in conjunction with herbicides and insecticides. Six fungicides were detected in all samples including pyraclostrobin (75%), boscalid (53%), chlorothalonil (41%) and zoxamide (22%). Pyraclostrobin, a strobilurin fungicide, used frequently in the United States on a variety of crops, was detected more frequently than <i>p,p′</i>-DDE, the primary degradate of <i>p,p′</i>-DDT, which is typically one of the most frequently occurring pesticides in sediments collected within highly agricultural areas. Maximum fungicide concentrations in bed sediments and suspended solids were 198 and 56.7 μg/kg dry weight, respectively. There is limited information on the occurrence, fate, and persistence of many fungicides in sediment and the environmental impacts are largely unknown. The results of this study indicate the importance of documenting the persistence of fungicides in the environment and the need for a better understanding of off-site transport mechanisms, particularly in areas where crops are grown that require frequent treatments to prevent fungal diseases.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2013.01.021","usgsCitation":"Smalling, K., Reilly, T.J., Sandstrom, M.W., and Kuivila, K., 2013, Occurrence and persistence of fungicides in bed sediments and suspended solids from three targeted use areas in the United States: Science of the Total Environment, v. 447, p. 179-185, https://doi.org/10.1016/j.scitotenv.2013.01.021.","productDescription":"7 p.","startPage":"179","endPage":"185","ipdsId":"IP-036904","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality 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,{"id":70046974,"text":"70046974 - 2013 - Regional contingencies in the relationship between aboveground Bbomass and litter in the world’s grasslands","interactions":[],"lastModifiedDate":"2013-07-12T12:47:17","indexId":"70046974","displayToPublicDate":"2013-02-01T12:39:11","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Regional contingencies in the relationship between aboveground Bbomass and litter in the world’s grasslands","docAbstract":"Based on regional-scale studies, aboveground production and litter decomposition are thought to positively covary, because they are driven by shared biotic and climatic factors. Until now we have been unable to test whether production and decomposition are generally coupled across climatically dissimilar regions, because we lacked replicated data collected within a single vegetation type across multiple regions, obfuscating the drivers and generality of the association between production and decomposition. Furthermore, our understanding of the relationships between production and decomposition rests heavily on separate meta-analyses of each response, because no studies have simultaneously measured production and the accumulation or decomposition of litter using consistent methods at globally relevant scales. Here, we use a multi-country grassland dataset collected using a standardized protocol to show that live plant biomass (an estimate of aboveground net primary production) and litter disappearance (represented by mass loss of aboveground litter) do not strongly covary. Live biomass and litter disappearance varied at different spatial scales. There was substantial variation in live biomass among continents, sites and plots whereas among continent differences accounted for most of the variation in litter disappearance rates. Although there were strong associations among aboveground biomass, litter disappearance and climatic factors in some regions (e.g. U.S. Great Plains), these relationships were inconsistent within and among the regions represented by this study. These results highlight the importance of replication among regions and continents when characterizing the correlations between ecosystem processes and interpreting their global-scale implications for carbon flux. We must exercise caution in parameterizing litter decomposition and aboveground production in future regional and global carbon models as their relationship is complex.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0054988","usgsCitation":"O’Halloran, L., Borer, E.T., Seabloom, E.W., MacDougall, A.S., Cleland, E., McCulley, R.L., Hobbie, S., Harpole, W.S., DeCrappeo, N.M., Chu, C., Bakker, J.D., Davies, K.F., Du, G., Firn, J., Hagenah, N., Hofmockel, K.S., Knops, J.M., Li, W., Melbourne, B.A., Morgan, J.W., Orrock, J., Prober, S.M., and Stevens, C.J., 2013, Regional contingencies in the relationship between aboveground Bbomass and litter in the world’s grasslands: PLoS ONE, v. 8, no. 2, e54988, 9 p., https://doi.org/10.1371/journal.pone.0054988.","productDescription":"e54988, 9 p.","ipdsId":"IP-044989","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473961,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0054988","text":"Publisher Index Page"},{"id":274924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274869,"type":{"id":15,"text":"Index Page"},"url":"https://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0054988"},{"id":274923,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0054988"}],"otherGeospatial":"Earth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-06","publicationStatus":"PW","scienceBaseUri":"51e1256fe4b02f5cae2b73ce","contributors":{"authors":[{"text":"O’Halloran, Lydia R.","contributorId":72280,"corporation":false,"usgs":true,"family":"O’Halloran","given":"Lydia R.","affiliations":[],"preferred":false,"id":480761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borer, Elizabeth T.","contributorId":45049,"corporation":false,"usgs":false,"family":"Borer","given":"Elizabeth","email":"","middleInitial":"T.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":480755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seabloom, Eric W.","contributorId":60762,"corporation":false,"usgs":false,"family":"Seabloom","given":"Eric","email":"","middleInitial":"W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":480757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacDougall, Andrew S.","contributorId":39509,"corporation":false,"usgs":true,"family":"MacDougall","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":480754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cleland, Elsa E.","contributorId":92790,"corporation":false,"usgs":true,"family":"Cleland","given":"Elsa E.","affiliations":[],"preferred":false,"id":480768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCulley, Rebecca L.","contributorId":102197,"corporation":false,"usgs":true,"family":"McCulley","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hobbie, Sarah","contributorId":64973,"corporation":false,"usgs":true,"family":"Hobbie","given":"Sarah","affiliations":[],"preferred":false,"id":480758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harpole, W. Stan","contributorId":27340,"corporation":false,"usgs":true,"family":"Harpole","given":"W.","email":"","middleInitial":"Stan","affiliations":[],"preferred":false,"id":480752,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeCrappeo, Nicole M.","contributorId":92383,"corporation":false,"usgs":true,"family":"DeCrappeo","given":"Nicole","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480767,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chu, Cheng-Jin","contributorId":45820,"corporation":false,"usgs":true,"family":"Chu","given":"Cheng-Jin","email":"","affiliations":[],"preferred":false,"id":480756,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bakker, Jonathan D.","contributorId":15754,"corporation":false,"usgs":true,"family":"Bakker","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":480749,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Davies, Kendi F.","contributorId":30346,"corporation":false,"usgs":true,"family":"Davies","given":"Kendi","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":480753,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Du, Guozhen","contributorId":89429,"corporation":false,"usgs":true,"family":"Du","given":"Guozhen","email":"","affiliations":[],"preferred":false,"id":480765,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Firn, Jennifer","contributorId":66405,"corporation":false,"usgs":false,"family":"Firn","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":480759,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hagenah, Nicole","contributorId":95998,"corporation":false,"usgs":true,"family":"Hagenah","given":"Nicole","affiliations":[],"preferred":false,"id":480769,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hofmockel, Kirsten S.","contributorId":69038,"corporation":false,"usgs":false,"family":"Hofmockel","given":"Kirsten","email":"","middleInitial":"S.","affiliations":[{"id":12468,"text":"Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":480760,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Knops, Johannes M.H.","contributorId":105843,"corporation":false,"usgs":true,"family":"Knops","given":"Johannes","email":"","middleInitial":"M.H.","affiliations":[],"preferred":false,"id":480771,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Li, Wei","contributorId":22894,"corporation":false,"usgs":true,"family":"Li","given":"Wei","email":"","affiliations":[],"preferred":false,"id":480751,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Melbourne, Brett A.","contributorId":86473,"corporation":false,"usgs":true,"family":"Melbourne","given":"Brett","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480763,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Morgan, John W.","contributorId":88077,"corporation":false,"usgs":true,"family":"Morgan","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480764,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Orrock, John L.","contributorId":18101,"corporation":false,"usgs":true,"family":"Orrock","given":"John L.","affiliations":[],"preferred":false,"id":480750,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Prober, Suzanne M.","contributorId":74498,"corporation":false,"usgs":false,"family":"Prober","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480762,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Stevens, Carly J.","contributorId":89658,"corporation":false,"usgs":true,"family":"Stevens","given":"Carly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480766,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}}
,{"id":70058739,"text":"70058739 - 2013 - Limitation and facilitation of one of the world's most invasive fish: an intercontinental comparison","interactions":[],"lastModifiedDate":"2013-12-13T09:13:45","indexId":"70058739","displayToPublicDate":"2013-02-01T09:10:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Limitation and facilitation of one of the world's most invasive fish: an intercontinental comparison","docAbstract":"Purposeful species introductions offer opportunities to inform our understanding of both invasion success and conservation hurdles. We evaluated factors determining the energetic limitations of brown trout (Salmo trutta) in both their native and introduced ranges. Our focus was on brown trout because they are nearly globally distributed, considered one of the world's worst invaders, yet imperiled in much of their native habitat. We synthesized and compared data describing temperature regime, diet, growth, and maximum body size across multiple spatial and temporal scales, from country (both exotic and native habitats) and major geographic area (MGA) to rivers and years within MGA. Using these data as inputs, we next used bioenergetic efficiency (BioEff), a relative scalar representing a realized percentage of maximum possible consumption (0–100%) as our primary response variable and a multi-scale, nested, mixed statistical model (GLIMMIX) to evaluate variation among and within spatial scales and as a function of density and elevation. MGA and year (the residual) explained the greatest proportion of variance in BioEff. Temperature varied widely among MGA and was a strong driver of variation in BioEff. We observed surprisingly little variation in the diet of brown trout, except the overwhelming influence of the switch to piscivory observed only in exotic MGA. We observed only a weak signal of density-dependent effects on BioEff; however, BioEff remained <50% at densities >2.5 fish/m2. The trajectory of BioEff across the life span of the fish elucidated the substantial variation in performance among MGAs; the maximum body size attained by brown trout was consistently below 400 mm in native habitat but reached 600 mm outside their native range, where brown trout grew rapidly, feeding in part on naive prey fishes. The integrative, physiological approach, in combination with the intercontinental and comparative nature of our study, allowed us to overcome challenges associated with context-dependent variation in determining invasion success. Overall our results indicate “growth plasticity across the life span” was important for facilitating invasion, and should be added to lists of factors characterizing successful invaders.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-0628.1","usgsCitation":"Budy, P.E., Thiede, G.P., Lobon-Cervia, J., Fernandez, G.G., McHugh, P., McIntosh, A., Vollestad, L.A., Becares, E., and Jellyman, P., 2013, Limitation and facilitation of one of the world's most invasive fish: an intercontinental comparison: Ecology, v. 94, no. 2, p. 356-367, https://doi.org/10.1890/12-0628.1.","productDescription":"12 p.","startPage":"356","endPage":"367","numberOfPages":"12","ipdsId":"IP-033914","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488200,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10261/126144","text":"External Repository"},{"id":280287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280286,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0628.1"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd64a0e4b0b290850ff930","contributors":{"authors":[{"text":"Budy, Phaedra E. pbudy@usgs.gov","contributorId":2232,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":322,"text":"Grand Canyon Monitoring and Research Center","active":false,"usgs":true}],"preferred":false,"id":487315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thiede, Gary P.","contributorId":9154,"corporation":false,"usgs":true,"family":"Thiede","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":487317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lobon-Cervia, Javier","contributorId":69052,"corporation":false,"usgs":true,"family":"Lobon-Cervia","given":"Javier","email":"","affiliations":[],"preferred":false,"id":487322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fernandez, Gustavo Gonzolez","contributorId":7173,"corporation":false,"usgs":true,"family":"Fernandez","given":"Gustavo","email":"","middleInitial":"Gonzolez","affiliations":[],"preferred":false,"id":487316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McHugh, Peter","contributorId":12313,"corporation":false,"usgs":true,"family":"McHugh","given":"Peter","affiliations":[],"preferred":false,"id":487319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McIntosh, Angus","contributorId":47630,"corporation":false,"usgs":true,"family":"McIntosh","given":"Angus","email":"","affiliations":[],"preferred":false,"id":487321,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vollestad, Lief Asbjorn","contributorId":97417,"corporation":false,"usgs":true,"family":"Vollestad","given":"Lief","email":"","middleInitial":"Asbjorn","affiliations":[],"preferred":false,"id":487323,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Becares, Eloy","contributorId":10712,"corporation":false,"usgs":true,"family":"Becares","given":"Eloy","email":"","affiliations":[],"preferred":false,"id":487318,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jellyman, Phillip","contributorId":19465,"corporation":false,"usgs":true,"family":"Jellyman","given":"Phillip","email":"","affiliations":[],"preferred":false,"id":487320,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70038472,"text":"70038472 - 2013 - Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border","interactions":[],"lastModifiedDate":"2020-09-11T17:08:53.632551","indexId":"70038472","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","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":"Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border","docAbstract":"<p>The extent to which faults exhibit temporally varying slip rates has important consequences for models of fault mechanics and probabilistic seismic hazard. Here, we explore the temporal behavior of the dextral‐slip Warm Springs Valley fault system, which is part of a network of closely spaced (10–20 km) faults in the northern Walker Lane (California–Nevada border). We develop a late Quaternary slip record for the fault using Quaternary mapping and high‐resolution topographic data from airborne Light Distance and Ranging (LiDAR). The faulted Fort Sage alluvial fan (40.06° N, 119.99° W) is dextrally displaced 98+42/-43 m, and we estimate the age of the alluvial fan to be 41.4+10.0/-4.8 to 55.7±9.2  ka, based on a terrestrial cosmogenic <sup>10</sup>Be depth profile and <sup>36</sup>Cl analyses on basalt boulders, respectively. The displacement and age constraints for the fan yield a slip rate of 1.8 +0.8/-0.8 mm/yr to 2.4 +1.2/-1.1 mm/yr (2σ) along the northern Warm Springs Valley fault system for the past 41.4–55.7 ka. In contrast to this longer‐term slip rate, shorelines associated with the Sehoo highstand of Lake Lahontan (~15.8  ka) adjacent to the Fort Sage fan are dextrally faulted at most 3 m, which limits a maximum post‐15.8 ka slip rate to 0.2  mm/yr. These relations indicate that the post‐Lahontan slip rate on the fault is only about one‐tenth the longer‐term (41–56 ka) average slip rate. This apparent slip‐rate variation may be related to co‐dependent interaction with the nearby Honey Lake fault system, which shows evidence of an accelerated period of mid‐Holocene earthquakes.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120020","usgsCitation":"Gold, R., dePolo, C., Briggs, R.W., Crone, A., and Goss, J., 2013, Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 542-558, https://doi.org/10.1785/0120120020.","productDescription":"17 p.","startPage":"542","endPage":"558","ipdsId":"IP-038135","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":267417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Walker Lane","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.28106689453125,\n              39.74943369178247\n            ],\n            [\n              -119.74822998046875,\n              39.74943369178247\n            ],\n            [\n              -119.74822998046875,\n              40.02551125229787\n            ],\n            [\n              -120.28106689453125,\n              40.02551125229787\n            ],\n            [\n              -120.28106689453125,\n              39.74943369178247\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"511e158de4b071e86a19a463","contributors":{"authors":[{"text":"Gold, Ryan","contributorId":97400,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","affiliations":[],"preferred":false,"id":464324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"dePolo, Craig","contributorId":87433,"corporation":false,"usgs":true,"family":"dePolo","given":"Craig","affiliations":[],"preferred":false,"id":464323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":464321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crone, Anthony","contributorId":20624,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","affiliations":[],"preferred":false,"id":464322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goss, John","contributorId":240591,"corporation":false,"usgs":false,"family":"Goss","given":"John","email":"","affiliations":[],"preferred":false,"id":798516,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043583,"text":"70043583 - 2013 - Frequency and Severity of Trauma in Fishes Subjected to Multiple-pass Depletion Electrofishing","interactions":[],"lastModifiedDate":"2013-02-17T19:49:21","indexId":"70043583","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Frequency and Severity of Trauma in Fishes Subjected to Multiple-pass Depletion Electrofishing","docAbstract":"The incidence and severity of trauma associated with multiple-pass electrofishing and the effects on short-term (30-d) survival and growth of Rainbow Trout Oncorhynchus mykiss, Brook Trout Salvelinus fontinalis, and five representative co-inhabiting nontarget or bycatch species were examined. Fish were held in four rectangular fiberglass tanks (190 × 66 cm) equipped with electrodes, a gravel–cobble stream substrate, and continuous water flow. Fish were exposed to one, two, or three electroshocks (100-V, 60-Hz pulsed DC) spaced 1 h apart or were held as a control. The heterogeneous field produced a mean (±SD) voltage gradient of 0.23 ± 0.024 V/cm (range = 0.20–0.30 V/cm) with a duty cycle of 30% and a 5-s exposure. Radiographs of 355 fish were examined for evidence of spinal injuries, and necropsies were performed on 303 fish to assess hemorrhagic trauma in soft tissue. Using linear regression, we demonstrated significant relationships between the number of electrical shocks and the frequency and severity of hemorrhagic and spinal trauma in each of the nontarget species (Potomac Sculpin Cottus girardi, Channel Catfish Ictalurus punctatus, Fathead Minnow Pimephales promelas, Green Sunfish Lepomis cyanellus, and Largemouth Bass Micropterus salmoides). Most of the injuries in these species were either minor or moderate. Rainbow Trout and Brook Trout generally sustained the highest incidence and severity of injuries, but those injuries were generally independent of the number of treatments. The 30-d postshock survival for the trout species was greater than 94%; survival for the bycatch species ranged from 80% (Fathead Minnow) to 100% (Green Sunfish and Channel Catfish). There were no significant differences in 30-d postshock condition factors despite observations of altered feeding behavior lasting several days to 1 week posttreatment in several of the study species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor and Francis","doi":"10.1080/02755947.2012.754803","usgsCitation":"Panek, F., and Densmore, C.L., 2013, Frequency and Severity of Trauma in Fishes Subjected to Multiple-pass Depletion Electrofishing: North American Journal of Fisheries Management, v. 33, no. 1, p. 178-185, https://doi.org/10.1080/02755947.2012.754803.","startPage":"178","endPage":"185","ipdsId":"IP-041634","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":267611,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2012.754803"},{"id":267612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-29","publicationStatus":"PW","scienceBaseUri":"512209f0e4b0b37542fda866","contributors":{"authors":[{"text":"Panek, Frank fpanek@usgs.gov","contributorId":791,"corporation":false,"usgs":true,"family":"Panek","given":"Frank","email":"fpanek@usgs.gov","affiliations":[],"preferred":true,"id":473894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Christine L. 0000-0001-6440-0781 cdensmore@usgs.gov","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":4560,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine","email":"cdensmore@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473895,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192218,"text":"70192218 - 2013 - Site Response and Basin Waves in the Sacramento–San Joaquin Delta, California","interactions":[],"lastModifiedDate":"2020-12-18T19:56:48.205307","indexId":"70192218","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","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":"Site Response and Basin Waves in the Sacramento–San Joaquin Delta, California","docAbstract":"<p><span>The Sacramento–San Joaquin Delta is an inland delta at the western extent of the Central Valley. Levees were built around swampy islands starting after the Civil War to reclaim these lands for farming. Various studies show that these levees could fail in concert from shaking from a major local or regional earthquake resulting in salty water from the San Francisco Bay contaminating the water in the Delta. We installed seismographs around the Delta and on levees to assess the contribution of site response to the seismic hazard of the levees. Cone penetrometer testing shows that the upper 10&nbsp;s of meters of soil in the Delta have shear‐wave velocities of about 200  m/s, which would give a strong site response. Seismographs were sited following two strategies: pairs of stations to compare the response of the levees to nearby sites, and a more regional deployment in the Delta. Site response was determined in two different ways: a traditional spectral ratio (TSR) approach of&nbsp;</span><i>S</i><span><span>&nbsp;</span>waves using station BDM of the Berkeley Digital Seismic Net as a reference site, and using<span>&nbsp;</span></span><i>SH</i><span>/</span><i>SV</i><span><span>&nbsp;</span>ratios of noise (or Nakamura’s method). Both estimates usually agree in spectral character for stations whose response is dominated by a resonant peak, but the most obvious peaks in the<span>&nbsp;</span></span><i>SH</i><span>/</span><i>SV</i><span><span>&nbsp;</span>ratios usually are about two‐thirds as large as the main peaks in the TSRs. Levee sites typically have large narrow resonances in the site response function compared to sites in the farmland of the Delta. These resonances, at a frequency of about 1–3&nbsp;Hz, have amplitudes of about 15 with TSR and 10–12 with Nakamura’s method. Sites on farmland in the Delta also have amplifications, but these are typically broader and not as resonant in appearance. Late (slow) Rayleigh waves were recorded at stations in the Delta, have a dominant period of about one second, and are highly monochromatic. Results from a three‐station array at the Holland Marina suggest that they have a phase velocity of about 600  m/s and arrive at about the same azimuth as the straight‐line back azimuth to the source. A dispersion curve determined for the basin or valley waves yields a shallow velocity profile that increases from about 350  m/s in the upper 0.2&nbsp;km to about 1.1  km/s at a depth of about 2&nbsp;km.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120110347","usgsCitation":"Fletcher, J.P., and Boatwright, J., 2013, Site Response and Basin Waves in the Sacramento–San Joaquin Delta, California: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 196-210, https://doi.org/10.1785/0120110347.","productDescription":"15 p.","startPage":"196","endPage":"210","ipdsId":"IP-026726","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":381518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.28744506835938,\n              37.0333\n            ],\n            [\n              -121.0667,\n              37.0333\n            ],\n            [\n              -121.0667,\n              38.16587506003647\n            ],\n            [\n              -122.28744506835938,\n              38.16587506003647\n            ],\n            [\n              -122.28744506835938,\n              37.0333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"59f98bbde4b0531197afa038","contributors":{"authors":[{"text":"Fletcher, Jon Peter B. 0000-0001-8885-6177 jfletcher@usgs.gov","orcid":"https://orcid.org/0000-0001-8885-6177","contributorId":1216,"corporation":false,"usgs":true,"family":"Fletcher","given":"Jon","email":"jfletcher@usgs.gov","middleInitial":"Peter B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":714840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boatwright, John 0000-0002-6931-5241 boat@usgs.gov","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":1938,"corporation":false,"usgs":true,"family":"Boatwright","given":"John","email":"boat@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":714839,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189181,"text":"70189181 - 2013 - Evaluating model structure adequacy: The case of the Maggia Valley groundwater system, southern Switzerland","interactions":[],"lastModifiedDate":"2017-07-06T15:03:29","indexId":"70189181","displayToPublicDate":"2013-01-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating model structure adequacy: The case of the Maggia Valley groundwater system, southern Switzerland","docAbstract":"Model adequacy is evaluated with alternative models rated using model selection criteria (AICc, BIC, and KIC) and three other statistics. Model selection criteria are tested with cross-validation experiments and insights for using alternative models to evaluate model structural adequacy are provided. The study is conducted using the computer codes UCODE_2005 and MMA (MultiModel Analysis). One recharge alternative is simulated using the TOPKAPI hydrological model. The predictions evaluated include eight heads and three flows located where ecological consequences and model precision are of concern. Cross-validation is used to obtain measures of prediction accuracy. Sixty-four models were designed deterministically and differ in representation of river, recharge, bedrock topography, and hydraulic conductivity. Results include: (1) What may seem like inconsequential choices in model construction may be important to predictions. Analysis of predictions from alternative models is advised. (2) None of the model selection criteria consistently identified models with more accurate predictions. This is a disturbing result that suggests to reconsider the utility of model selection criteria, and/or the cross-validation measures used in this work to measure model accuracy. (3) KIC displayed poor performance for the present regression problems; theoretical considerations suggest that difficulties are associated with wide variations in the sensitivity term of KIC resulting from the models being nonlinear and the problems being ill-posed due to parameter correlations and insensitivity. The other criteria performed somewhat better, and similarly to each other. (4) Quantities with high leverage are more difficult to predict. The results are expected to be generally applicable to models of environmental systems.","language":"English","publisher":"Water Resources Research","doi":"10.1029/2011WR011779","usgsCitation":"Hill, M.C., Foglia, L., Mehl, S.W., and Burlando, P., 2013, Evaluating model structure adequacy: The case of the Maggia Valley groundwater system, southern Switzerland: Water Resources Research, v. 49, no. 1, p. 260-282, https://doi.org/10.1029/2011WR011779.","productDescription":"23 p. ","startPage":"260","endPage":"282","ipdsId":"IP-042379","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473968,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011779","text":"Publisher Index Page"},{"id":343439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Switzerland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              8.460845947265625,\n              46.095138483907725\n            ],\n            [\n              9.010162353515623,\n              46.095138483907725\n            ],\n            [\n              9.010162353515623,\n              46.46813299215554\n            ],\n            [\n              8.460845947265625,\n              46.46813299215554\n            ],\n            [\n              8.460845947265625,\n              46.095138483907725\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-24","publicationStatus":"PW","scienceBaseUri":"595f4c44e4b0d1f9f057e36e","contributors":{"authors":[{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foglia, L.","contributorId":194179,"corporation":false,"usgs":false,"family":"Foglia","given":"L.","email":"","affiliations":[],"preferred":false,"id":703385,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mehl, S. W.","contributorId":194181,"corporation":false,"usgs":false,"family":"Mehl","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":703387,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Burlando, P.","contributorId":194180,"corporation":false,"usgs":false,"family":"Burlando","given":"P.","email":"","affiliations":[],"preferred":false,"id":703386,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70039302,"text":"70039302 - 2013 - Worldwide trends in fishing interest indicated by Internet search volume","interactions":[],"lastModifiedDate":"2013-03-18T13:18:53","indexId":"70039302","displayToPublicDate":"2013-01-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Worldwide trends in fishing interest indicated by Internet search volume","docAbstract":"There is a growing body of literature that shows internet search volume on a topic, such as fishing, is a viable measure of salience. Herein, internet search volume for 'fishing' and 'angling' is used as a measure of public interest in fishing, in particular, recreational fishing. An online tool, Google Insights for Search, which allows one to study internet search terms and their volume since 2004, is used to examine trends in interest in fishing for 50 countries. Trends in normalised fishing search volume, during 2004 through 2011, varied from a 72.6% decrease (Russian Federation) to a 133.7% increase (Hungary). Normalised fishing search volume declined in 40 (80%) of the countries studied. The decline has been relatively large in English-speaking countries, but also has been large in Central and South American, and European countries. Analyses of search queries provide a low-cost means of gaining insight into angler interests and, possibly, behaviour in countries around the world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries Management and Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/fme.12009","usgsCitation":"Wilde, G., and Pope, K., 2013, Worldwide trends in fishing interest indicated by Internet search volume: Fisheries Management and Ecology, v. 20, no. 2-3, p. 211-222, https://doi.org/10.1111/fme.12009.","productDescription":"12 p.","startPage":"211","endPage":"222","ipdsId":"IP-039450","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":269664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267771,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/fme.12009"}],"volume":"20","issue":"2-3","noUsgsAuthors":false,"publicationDate":"2012-12-11","publicationStatus":"PW","scienceBaseUri":"514837b3e4b022dd171aff19","contributors":{"authors":[{"text":"Wilde, G.R.","contributorId":54799,"corporation":false,"usgs":true,"family":"Wilde","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":466008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, K.L.","contributorId":20454,"corporation":false,"usgs":true,"family":"Pope","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":466007,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043046,"text":"ofr20101083K - 2013 - Seismicity of the Earth 1900–2010 Middle East and vicinity","interactions":[],"lastModifiedDate":"2014-01-30T13:53:25","indexId":"ofr20101083K","displayToPublicDate":"2013-01-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1083","chapter":"K","title":"Seismicity of the Earth 1900–2010 Middle East and vicinity","docAbstract":"No fewer than four major tectonic plates (Arabia, Eurasia, India, and Africa) and one smaller tectonic block (Anatolia) are responsible for seismicity and tectonics in the Middle East and surrounding region. Geologic development of the region is a consequence of a number of first-order plate tectonic processes that include subduction, large-scale transform faulting, compressional mountain building, and crustal extension.  In the east, tectonics are dominated by the collision of the India plate with Eurasia, driving the uplift of the Himalaya, Karakorum, Pamir and Hindu Kush mountain ranges. Beneath the Pamir‒Hindu Kush Mountains of northern Afghanistan, earthquakes occur to depths as great as 200 km as a result of remnant lithospheric subduction. Along the western margin of the India plate, relative motions between India and Eurasia are accommodated by strike-slip, reverse, and oblique-slip faulting, resulting in the complex Sulaiman Range fold and thrust belt, and the major translational Chaman Fault in Afghanistan.  Off the south coasts of Pakistan and Iran, the Makran trench is the surface expression of active subduction of the Arabia plate beneath Eurasia. Northwest of this subduction zone, collision between the two plates forms the approximately 1,500-km-long fold and thrust belts of the Zagros Mountains, which cross the whole of western Iran and extend into northeastern Iraq.  Tectonics in the eastern Mediterranean region are dominated by complex interactions between the Africa, Arabia, and Eurasia plates, and the Anatolia block. Dominant structures in this region include: the Red Sea Rift, the spreading center between the Africa and Arabia plates; the Dead Sea Transform, a major strike-slip fault, also accommodating Africa-Arabia relative motions; the North Anatolia Fault, a right-lateral strike-slip structure in northern Turkey accommodating much of the translational motion of the Anatolia block westwards with respect to Eurasia and Africa; and the Cyprian Arc, a convergent boundary between the Africa plate to the south, and Anatolia Block to the north.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101083K","usgsCitation":"Jenkins, J., Turner, B., Turner, R., Hayes, G., Davies, S., Dart, R.L., Tarr, A.C., Villaseñor, A., and Benz, H.M., 2013, Seismicity of the Earth 1900–2010 Middle East and vicinity (Originally posted January 31, 2013; Revised January 28, 2014): U.S. Geological Survey Open-File Report 2010-1083, Map: 1 Sheet: 37 x 24 inches, https://doi.org/10.3133/ofr20101083K.","productDescription":"Map: 1 Sheet: 37 x 24 inches","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":266873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1083_k.jpg"},{"id":266871,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1083/k/"},{"id":266872,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1083/k/OF2010-1083-K.pdf"}],"otherGeospatial":"Middle East","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 72.0,16.0 ], [ 72.0,46.0 ], [ 84.0,46.0 ], [ 84.0,16.0 ], [ 72.0,16.0 ] ] ] } } ] }","edition":"Originally posted January 31, 2013; Revised January 28, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510b9280e4b0947afa3c8550","contributors":{"authors":[{"text":"Jenkins, Jennifer","contributorId":68186,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jennifer","affiliations":[],"preferred":false,"id":472837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Bethan","contributorId":97786,"corporation":false,"usgs":true,"family":"Turner","given":"Bethan","email":"","affiliations":[],"preferred":false,"id":472839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Rebecca","contributorId":38032,"corporation":false,"usgs":true,"family":"Turner","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":472836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":472835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davies, Sian","contributorId":87828,"corporation":false,"usgs":true,"family":"Davies","given":"Sian","affiliations":[],"preferred":false,"id":472838,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dart, Richard L. dart@usgs.gov","contributorId":1209,"corporation":false,"usgs":true,"family":"Dart","given":"Richard","email":"dart@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":472833,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tarr, Arthur C. atarr@usgs.gov","contributorId":1925,"corporation":false,"usgs":true,"family":"Tarr","given":"Arthur","email":"atarr@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":472834,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Villaseñor, Antonio","contributorId":100969,"corporation":false,"usgs":true,"family":"Villaseñor","given":"Antonio","affiliations":[],"preferred":false,"id":472840,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":472832,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70042857,"text":"70042857 - 2013 - An integrated multi-criteria scenario evaluation web tool for participatory land-use planning in urbanized areas: The Ecosystem Portfolio Model","interactions":[],"lastModifiedDate":"2013-01-28T08:59:39","indexId":"70042857","displayToPublicDate":"2013-01-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"An integrated multi-criteria scenario evaluation web tool for participatory land-use planning in urbanized areas: The Ecosystem Portfolio Model","docAbstract":"Land-use land-cover change is one of the most important and direct drivers of changes in ecosystem functions and services. Given the complexity of the decision-making, there is a need for Internet-based decision support systems with scenario evaluation capabilities to help planners, resource managers and communities visualize, compare and consider trade-offs among the many values at stake in land use planning. This article presents details on an Ecosystem Portfolio Model (EPM) prototype that integrates ecological, socio-economic information and associated values of relevance to decision-makers and stakeholders. The EPM uses a multi-criteria scenario evaluation framework, Geographic Information Systems (GIS) analysis and spatially-explicit land-use/land-cover change-sensitive models to characterize changes in important land-cover related ecosystem values related to ecosystem services and functions, land parcel prices, and community quality-of-life (QoL) metrics. Parameters in the underlying models can be modified through the interface, allowing users in a facilitated group setting to explore simultaneously issues of scientific uncertainty and divergence in the preferences of stakeholders. One application of the South Florida EPM prototype reported in this article shows the modeled changes (which are significant) in aggregate ecological value, landscape patterns and fragmentation, biodiversity potential and ecological restoration potential for current land uses compared to the 2050 land-use scenario. Ongoing refinements to EPM, and future work especially in regard to modifiable sea level rise scenarios are also discussed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Modelling and Software","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.envsoft.2012.10.012","usgsCitation":"Labiosa, B., Forney, W.M., Hearn, Hogan, D.M., Strong, D.R., Swain, E.D., Esnard, A., Mitsova-Boneva, D., Bernknopf, R., Pearlstine, L., and Gladwin, H., 2013, An integrated multi-criteria scenario evaluation web tool for participatory land-use planning in urbanized areas: The Ecosystem Portfolio Model: Environmental Modelling and Software, 13 p., https://doi.org/10.1016/j.envsoft.2012.10.012.","productDescription":"13 p.","numberOfPages":"13","ipdsId":"IP-019081","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":266583,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2012.10.012"},{"id":266584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51079ddfe4b0df796f216e08","contributors":{"authors":[{"text":"Labiosa, Bill blabiosa@usgs.gov","contributorId":712,"corporation":false,"usgs":true,"family":"Labiosa","given":"Bill","email":"blabiosa@usgs.gov","affiliations":[],"preferred":true,"id":472401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forney, William M.","contributorId":43490,"corporation":false,"usgs":true,"family":"Forney","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hearn, Jr. phearn@usgs.gov","contributorId":1950,"corporation":false,"usgs":true,"family":"Hearn","suffix":"Jr.","email":"phearn@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":472403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":2299,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":472404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strong, David R. dstrong@usgs.gov","contributorId":3059,"corporation":false,"usgs":true,"family":"Strong","given":"David","email":"dstrong@usgs.gov","middleInitial":"R.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":472405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472402,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Esnard, Ann-Margaret","contributorId":60101,"corporation":false,"usgs":true,"family":"Esnard","given":"Ann-Margaret","email":"","affiliations":[],"preferred":false,"id":472409,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mitsova-Boneva, D.","contributorId":46388,"corporation":false,"usgs":true,"family":"Mitsova-Boneva","given":"D.","email":"","affiliations":[],"preferred":false,"id":472407,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bernknopf, R.","contributorId":51169,"corporation":false,"usgs":true,"family":"Bernknopf","given":"R.","affiliations":[],"preferred":false,"id":472408,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pearlstine, Leonard","contributorId":79174,"corporation":false,"usgs":true,"family":"Pearlstine","given":"Leonard","affiliations":[],"preferred":false,"id":472410,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gladwin, Hugh","contributorId":83816,"corporation":false,"usgs":true,"family":"Gladwin","given":"Hugh","email":"","affiliations":[],"preferred":false,"id":472411,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70042979,"text":"70042979 - 2013 - Structure and development of old-growth, unmanaged second-growth, and extended rotation <i>Pinus resinosa</i> forests in Minnesota, USA","interactions":[],"lastModifiedDate":"2013-01-31T11:14:34","indexId":"70042979","displayToPublicDate":"2013-01-25T00:00:00","publicationYear":"2013","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":"Structure and development of old-growth, unmanaged second-growth, and extended rotation <i>Pinus resinosa</i> forests in Minnesota, USA","docAbstract":"The structure and developmental dynamics of old-growth forests often serve as important baselines for restoration prescriptions aimed at promoting more complex structural conditions in managed forest landscapes. Nonetheless, long-term information on natural patterns of development is rare for many commercially important and ecologically widespread forest types. Moreover, the effectiveness of approaches recommended for restoring old-growth structural conditions to managed forests, such as the application of extended rotation forestry, has been little studied. This study uses several long-term datasets from old growth, extended rotation, and unmanaged second growth <i>Pinus resinosa</i> (red pine) forests in northern Minnesota, USA, to quantify the range of variation in structural conditions for this forest type and to evaluate the effectiveness of extended rotation forestry at promoting the development of late-successional structural conditions. Long-term tree population data from permanent plots for one of the old-growth stands and the extended rotation stands (87 and 61 years, respectively) also allowed for an examination of the long-term structural dynamics of these systems. Old-growth forests were more structurally complex than unmanaged second-growth and extended rotation red pine stands, due in large part to the significantly higher volumes of coarse woody debris (70.7 vs. 11.5 and 4.7 m<sup>3</sup>/ha, respectively) and higher snag basal area (6.9 vs. 2.9 and 0.5 m<sup>2</sup>/ha, respectively). In addition, old-growth forests, although red pine-dominated, contained a greater abundance of other species, including <i>Pinus strobus</i>, <i>Abies balsamea</i>, and <i>Picea glauca</i> relative to the other stand types examined. These differences between stand types largely reflect historic gap-scale disturbances within the old-growth systems and their corresponding structural and compositional legacies. Nonetheless, extended rotation thinning treatments, by accelerating advancement to larger tree diameter classes, generated diameter distributions more closely approximating those found in old growth within a shorter time frame than depicted in long-term examinations of old-growth structural development. These results suggest that extended rotation treatments may accelerate the development of old-growth structural characteristics, provided that coarse woody debris and snags are deliberately retained and created on site. These and other developmental characteristics of old-growth systems can inform forest management when objectives include the restoration of structural conditions found in late-successional forests.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.foreco.2012.11.033","usgsCitation":"Silver, E.J., D’Amato, A.W., Fraver, S., Palik, B.J., and Bradford, J.B., 2013, Structure and development of old-growth, unmanaged second-growth, and extended rotation <i>Pinus resinosa</i> forests in Minnesota, USA: Forest Ecology and Management, v. 291, p. 110-118, https://doi.org/10.1016/j.foreco.2012.11.033.","productDescription":"9 p.","startPage":"110","endPage":"118","numberOfPages":"9","ipdsId":"IP-041114","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":266801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266727,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2012.11.033"}],"country":"United States","state":"Minnesota","otherGeospatial":"Chippewa National Forest;Itasca State Park;Scenic State Park;Superior National Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,46.36 ], [ -97.24,48.02 ], [ -89.49,48.02 ], [ -89.49,46.36 ], [ -97.24,46.36 ] ] ] } } ] }","volume":"291","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510ba09ae4b0947afa3c860c","contributors":{"authors":[{"text":"Silver, Emily J.","contributorId":29288,"corporation":false,"usgs":true,"family":"Silver","given":"Emily","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":472721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false},{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false}],"preferred":false,"id":472720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":472723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palik, Brian J.","contributorId":78619,"corporation":false,"usgs":true,"family":"Palik","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":472722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":472719,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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