{"pageNumber":"1224","pageRowStart":"30575","pageSize":"25","recordCount":184938,"records":[{"id":70162104,"text":"70162104 - 2015 - Evaluation of the toxicity of sediments from the Anniston PCB Site to the mussel Lampsilis siliquoidea","interactions":[],"lastModifiedDate":"2016-12-14T13:58:54","indexId":"70162104","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Evaluation of the toxicity of sediments from the Anniston PCB Site to the mussel Lampsilis siliquoidea","docAbstract":"The Anniston Polychlorinated Biphenyl (PCB) Site is located in the vicinity of the municipality of Anniston in Calhoun County, in the north-eastern portion of Alabama. Although there are a variety of land-use activities within the Choccolocco Creek watershed, environmental concerns in the area have focused mainly on releases of PCBs to aquatic and riparian habitats. PCBs were manufactured by Monsanto, Inc. at the Anniston facility from 1935 to 1971. The chemicals of potential concern (COPCs) in sediments at the Anniston PCB Site include: PCBs, mercury, metals, polycyclic aromatic hydrocarbons (PAHs), organochlorine and organophosphorous pesticides, volatile organic compounds (VOCs), semivolatile organic compounds (SVOCs), and polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDDs/PCDFs).\n\nThe purpose of this study was to evaluate the toxicity of PCB-contaminated sediments to the juvenile fatmucket mussel (Lampsilis siliquoidea) and to characterize relationships between sediment chemistry and the toxicity of sediment samples collected from the Anniston PCB Site using laboratory sediment testing. Samples were collected in August 2010 from OU-4 of the Anniston PCB Site, as well as from selected reference locations. A total of 32 samples were initially collected from six test sites and one reference site within the watershed. A total of 23 of these 32 samples were evaluated in 28-day whole-sediment toxicity tests conducted with juvenile mussels (L. siliquoidea). Physical and chemical characterization of whole sediment included grain size, total organic carbon (TOC), nutrients, PCBs, parent and \nalkylated PAHs, organochlorine pesticides, PCDD/PCDFs, total metals, \nsimultaneously extracted metals (SEM), and acid volatile sulfide (AVS). \n\nSediment collected from Snow Creek and Choccolocco Creek contained a variety of COPCs. Organic contaminants detected in sediment included PCBs, organochlorine pesticides, PCDDs/PCDFs, and PAHs. In general, the highest concentrations of PCBs were associated with the highest concentrations of PAHs, PCDDs/PCDFs, and organochlorine pesticides. Specifically, sediments 08, 18, and 19 exceeded probable effect concentration quotients (PEC-Qs) of 1.0 for all organic classes of contaminants. These three sediment samples also had high concentrations of mercury and lead, which were the only metals found at elevated concentrations (i.e., above the probable effect concentration [PEC]) in the samples collected. Many sediment samples were \nhighly contaminated with mercury, based on comparisons to samples collected from reference locations.\n\nThe whole-sediment laboratory toxicity tests conducted with L. siliquoidea met the test acceptability criteria (e.g., control survival was greater than or equal to 80%).  Survival of mussels was high in most samples, with 4 of 23 samples (17%) classified as toxic based on the survival endpoint. Biomass and weight were more sensitive endpoints for the L. siliquoidea toxicity tests, with both endpoints classifying 52% of the samples as toxic. Samples 19 and 30 were most toxic to L. siliquoidea, as they were classified as toxic according to all four endpoints (survival, biomass, weight, and length).\n\nMussels were less sensitive in toxicity tests conducted with sediments from the Anniston PCB Site than Hyalella azteca and Chironomus dilutus. Biomass of L. siliquoidea was less sensitive compared to biomass of H. azteca or biomass of larval C. dilutus. Based on the most sensitive endpoint for each species, 52% of the samples were toxic to L. siliquoidea, whereas 67% of sediments were toxic to H. azteca (based on reproduction) and 65% were toxic to C. dilutus (based on adult biomass). The low-risk toxicity threshold (TTLR) was higher for L. siliquoidea biomass (e.g., 20,400 µg/kg dry weight [DW]) compared to that for H. azteca reproduction (e.g., 499 µg/kg DW) or C. dilutus adult biomass (e.g., 1,140 µg/kg DW; MacDonald et al. 2014). While mussels such as L. sili","language":"English","publisher":"MacDonald Environmental Sciences Ltd","collaboration":"MacDonald Environmental Science St.","usgsCitation":"Schein, A., Sinclair, J., MacDonald, D., Ingersoll, C.G., Kemble, N.E., and Kunz, J.L., 2015, Evaluation of the toxicity of sediments from the Anniston PCB Site to the mussel Lampsilis siliquoidea, 113 p. .","productDescription":"113 p. ","startPage":"1","endPage":"112","ipdsId":"IP-063231","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":332133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":314264,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/daphne/Contaminants/index-AnnistonNRDA.html"}],"country":"United States","state":"Alabama ","otherGeospatial":"Choccolocco creek ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.253662109375,\n              33.37182502950726\n            ],\n            [\n              -86.253662109375,\n              33.500178528242294\n            ],\n            [\n              -85.9954833984375,\n              33.500178528242294\n            ],\n            [\n              -85.9954833984375,\n              33.37182502950726\n            ],\n            [\n              -86.253662109375,\n              33.37182502950726\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585268e3e4b0e2663625ec8c","contributors":{"authors":[{"text":"Schein, Allison","contributorId":152229,"corporation":false,"usgs":false,"family":"Schein","given":"Allison","email":"","affiliations":[{"id":18887,"text":"MacDonald Environmental Sciences Ltd., #24 - 4800 Island Highway North, Nanaimo, British Columbia V9T 1W6","active":true,"usgs":false}],"preferred":false,"id":588554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sinclair, Jesse A.","contributorId":66967,"corporation":false,"usgs":true,"family":"Sinclair","given":"Jesse A.","affiliations":[],"preferred":false,"id":588555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacDonald, Donald D.","contributorId":49911,"corporation":false,"usgs":true,"family":"MacDonald","given":"Donald D.","affiliations":[],"preferred":false,"id":588556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":588553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":588557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":588558,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70169237,"text":"70169237 - 2015 - Rising methane emissions from northern wetlands associated with sea ice decline","interactions":[],"lastModifiedDate":"2016-03-24T11:47:51","indexId":"70169237","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Rising methane emissions from northern wetlands associated with sea ice decline","docAbstract":"<p><span>The Arctic is rapidly transitioning toward a seasonal sea ice-free state, perhaps one of the most apparent examples of climate change in the world. This dramatic change has numerous consequences, including a large increase in air temperatures, which in turn may affect terrestrial methane emissions. Nonetheless, terrestrial and marine environments are seldom jointly analyzed. By comparing satellite observations of Arctic sea ice concentrations to methane emissions simulated by three process-based biogeochemical models, this study shows that rising wetland methane emissions are associated with sea ice retreat. Our analyses indicate that simulated high-latitude emissions for 2005&ndash;2010 were, on average, 1.7&thinsp;Tg&thinsp;CH</span><span>4</span><span>&thinsp;yr</span><span>&minus;1</span><span>&nbsp;higher compared to 1981&ndash;1990 due to a sea ice-induced, autumn-focused, warming. Since these results suggest a continued rise in methane emissions with future sea ice decline, observation programs need to include measurements during the autumn to further investigate the impact of this spatial connection on terrestrial methane emissions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/2015GL065013","usgsCitation":"Parmentier, F.W., Zhang, W., Zhu, X., van Huissteden, J., Hayes, D.J., Zhuang, Q., Christensen, T.R., and McGuire, A.D., 2015, Rising methane emissions from northern wetlands associated with sea ice decline: Geophysical Research Letters, v. 42, no. 17, p. 7214-7222, https://doi.org/10.1002/2015GL065013.","productDescription":"9 p.","startPage":"7214","endPage":"7222","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063606","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471824,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl065013","text":"Publisher Index Page"},{"id":319362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"17","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-10","publicationStatus":"PW","scienceBaseUri":"56f50fd1e4b0f59b85e1eba4","contributors":{"authors":[{"text":"Parmentier, Frans-Jan W.","contributorId":60537,"corporation":false,"usgs":true,"family":"Parmentier","given":"Frans-Jan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":623638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Wenxin","contributorId":167815,"corporation":false,"usgs":false,"family":"Zhang","given":"Wenxin","email":"","affiliations":[],"preferred":false,"id":623639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Xudong","contributorId":19684,"corporation":false,"usgs":true,"family":"Zhu","given":"Xudong","email":"","affiliations":[],"preferred":false,"id":623640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Huissteden, Jacobus","contributorId":167816,"corporation":false,"usgs":false,"family":"van Huissteden","given":"Jacobus","email":"","affiliations":[],"preferred":false,"id":623641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":623642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhuang, Qianlai","contributorId":101975,"corporation":false,"usgs":true,"family":"Zhuang","given":"Qianlai","affiliations":[],"preferred":false,"id":623643,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christensen, Torben R.","contributorId":11946,"corporation":false,"usgs":true,"family":"Christensen","given":"Torben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":623644,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":623375,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70176710,"text":"70176710 - 2015 - Camera traps and mark-resight models: The value of ancillary data for evaluating assumptions","interactions":[],"lastModifiedDate":"2016-10-03T13:56:41","indexId":"70176710","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Camera traps and mark-resight models: The value of ancillary data for evaluating assumptions","docAbstract":"Unbiased estimators of abundance and density are fundamental to the study of animal ecology and critical for making sound management decisions. Capture–recapture models are generally considered the most robust approach for estimating these parameters but rely on a number of assumptions that are often violated but rarely validated. Mark-resight models, a form of capture–recapture, are well suited for use with noninvasive sampling methods and allow for a number of assumptions to be relaxed. We used ancillary data from continuous video and radio telemetry to evaluate the assumptions of mark-resight models for abundance estimation on a barrier island raccoon (Procyon lotor) population using camera traps. Our island study site was geographically closed, allowing us to estimate real survival and in situ recruitment in addition to population size. We found several sources of bias due to heterogeneity of capture probabilities in our study, including camera placement, animal movement, island physiography, and animal behavior. Almost all sources of heterogeneity could be accounted for using the sophisticated mark-resight models developed by McClintock et al. (2009b) and this model generated estimates similar to a spatially explicit mark-resight model previously developed for this population during our study. Spatially explicit capture–recapture models have become an important tool in ecology and confer a number of advantages; however, non-spatial models that account for inherent individual heterogeneity may perform nearly as well, especially where immigration and emigration are limited. Non-spatial models are computationally less demanding, do not make implicit assumptions related to the isotropy of home ranges, and can provide insights with respect to the biological traits of the local population.","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.931","usgsCitation":"Parsons, A.W., Simons, T.R., Pollock, K.H., Stoskopf, M.K., Stocking, J.J., and O’Connell, A.F., 2015, Camera traps and mark-resight models: The value of ancillary data for evaluating assumptions: Journal of Wildlife Management, v. 79, no. 7, p. 1163-1172, https://doi.org/10.1002/jwmg.931.","productDescription":"10 p.","startPage":"1163","endPage":"1172","ipdsId":"IP-057828","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":329240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Lookout National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.5252685546875,\n              34.56085936708384\n            ],\n            [\n              -75.45135498046875,\n              35.247862157399915\n            ],\n            [\n              -75.5804443359375,\n              35.32184842037683\n            ],\n            [\n              -76.0308837890625,\n              35.160336728130346\n            ],\n            [\n              -76.2835693359375,\n              34.92197103616377\n            ],\n            [\n              -76.48956298828125,\n              34.7461262752594\n            ],\n            [\n              -76.59942626953125,\n              34.615126683462194\n            ],\n            [\n              -76.5252685546875,\n              34.56085936708384\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"79","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-13","publicationStatus":"PW","scienceBaseUri":"57f7ee36e4b0bc0bec09e911","contributors":{"authors":[{"text":"Parsons, Arielle W.","contributorId":91383,"corporation":false,"usgs":true,"family":"Parsons","given":"Arielle","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":649973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":649974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":649975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stoskopf, Michael K.","contributorId":83817,"corporation":false,"usgs":true,"family":"Stoskopf","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":649976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stocking, Jessica J.","contributorId":68626,"corporation":false,"usgs":true,"family":"Stocking","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":649977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649978,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187279,"text":"70187279 - 2015 - Catchment-wide survival of wild- and hatchery-reared Atlantic salmon smolts in a changing system","interactions":[],"lastModifiedDate":"2017-04-28T10:47:35","indexId":"70187279","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Catchment-wide survival of wild- and hatchery-reared Atlantic salmon smolts in a changing system","docAbstract":"<p><span>We developed a hierarchical multistate model to estimate survival of Atlantic salmon (</span><i>Salmo salar</i><span>) smolts in the Penobscot River, USA, over a decade during which two mainstem dams were removed from the catchment. We investigated effects of (</span><i>i</i><span>) environmental factors, (</span><i>ii</i><span>) rearing history, and (</span><i>iii</i><span>) management actions, including dam removal, turbine shutdown, and installation of new powerhouses. Mean ± SD smolt survival per kilometre was higher through free-flowing reaches of the catchment (0.995 ± 0.004·km</span><sup>−1</sup><span>) than through reaches containing dams that remain in the system (0.970 ± 0.019·km</span><sup>−1</sup><span>). We observed maximum survival between 12 and 17 °C and at intermediate discharges (1200 m</span><sup>3</sup><span>·s</span><sup>−1</sup><span>). Smolt survival increased concurrent with dam removal and decreased following increases in hydropower generation. The greatest increase in smolt survival followed seasonal turbine shutdowns at a dam located on the largest tributary to the Penobscot River, while other shutdowns had little influence. Our model provides a useful tool for assessing changes to survival of migratory species and will be useful for informing stocking plans to maximize numbers of smolts leaving coastal systems.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0573","usgsCitation":"Stich, D.S., Bailey, M.M., Holbrook, C., Kinnison, M.T., and Zydlewski, J.D., 2015, Catchment-wide survival of wild- and hatchery-reared Atlantic salmon smolts in a changing system: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 9, p. 1352-1365, https://doi.org/10.1139/cjfas-2014-0573.","productDescription":"14 p.","startPage":"1352","endPage":"1365","ipdsId":"IP-060933","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a7e4b022cee40dc24e","contributors":{"authors":[{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":693447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Michael M.","contributorId":169684,"corporation":false,"usgs":false,"family":"Bailey","given":"Michael","email":"","middleInitial":"M.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":693448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":4198,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher M.","email":"cholbrook@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":693449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":693450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":693210,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70168969,"text":"70168969 - 2015 - Linking magma transport structures at Kīlauea volcano","interactions":[],"lastModifiedDate":"2016-03-10T09:40:01","indexId":"70168969","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Linking magma transport structures at Kīlauea volcano","docAbstract":"<p>Identifying magma pathways is important for understanding and interpreting volcanic signals. At Kīlauea volcano, seismicity illuminates subsurface plumbing, but the broad spectrum of seismic phenomena hampers event identification. Discrete, long-period events (LPs) dominate the shallow (5-10 km) plumbing, and deep (40+ km) tremor has been observed offshore. However, our inability to routinely identify these events limits their utility in tracking ascending magma. Using envelope cross-correlation, we systematically catalog non-earthquake seismicity between 2008-2014. We find the LPs and deep tremor are spatially distinct, separated by the 15-25 km deep, horizontal mantle fault zone (MFZ). Our search corroborates previous observations, but we find broader-band (0.5-20 Hz) tremor comprising collocated earthquakes and reinterpret the deep tremor as earthquake swarms in a volume surrounding and responding to magma intruding from the mantle plume beneath the MFZ. We propose the overlying MFZ promotes lateral magma transport, linking this deep intrusion with Kīlauea&rsquo;s shallow magma plumbing.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL064869","usgsCitation":"Wech, A.G., and Thelen, W.A., 2015, Linking magma transport structures at Kīlauea volcano: Geophysical Research Letters, v. 42, no. 17, p. 7090-7097, https://doi.org/10.1002/2015GL064869.","productDescription":"8 p.","startPage":"7090","endPage":"7097","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064405","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471822,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064869","text":"Publisher Index Page"},{"id":318771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.3308868408203,\n              19.37010185290975\n            ],\n            [\n              -155.3308868408203,\n              19.456233596018\n            ],\n            [\n              -155.19973754882812,\n              19.456233596018\n            ],\n            [\n              -155.19973754882812,\n              19.37010185290975\n            ],\n            [\n              -155.3308868408203,\n              19.37010185290975\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-15","publicationStatus":"PW","scienceBaseUri":"56e2a8c8e4b0f59b85d3919c","contributors":{"authors":[{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":622419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thelen, Weston A. 0000-0003-2534-5577 wthelen@usgs.gov","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":4126,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","email":"wthelen@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":622420,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159653,"text":"70159653 - 2015 - Factors affecting the thermal environment of Agassiz’s Desert Tortoise (<i>Gopherus agassizii</i>) cover sites in the Central Mojave Desert during periods of temperature extremes","interactions":[],"lastModifiedDate":"2017-01-12T11:37:21","indexId":"70159653","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting the thermal environment of Agassiz’s Desert Tortoise (<i>Gopherus agassizii</i>) cover sites in the Central Mojave Desert during periods of temperature extremes","docAbstract":"<p>Agassiz's Desert Tortoises (Gopherus agassizii) spend &gt;95% of their lives underground in cover sites that serve as thermal buffers from temperatures, which can fluctuate &gt;40&deg;C on a daily and seasonal basis. We monitored temperatures at 30 active tortoise cover sites within the Soda Mountains, San Bernardino County, California, from February 2004 to September 2006. Cover sites varied in type and structural characteristics, including opening height and width, soil cover depth over the opening, aspect, tunnel length, and surficial geology. We focused our analyses on periods of extreme temperature: in summer, between July 1 and September 1, and winter, between November 1 and February 15. With the use of multivariate regression tree analyses, we found cover-site temperatures were influenced largely by tunnel length and subsequently opening width and soil cover. Linear regression models further showed that increasing tunnel length increased temperature stability and dampened seasonal temperature extremes. Climate change models predict increased warming for southwestern North America. Cover sites that buffer temperature extremes and fluctuations will become increasingly important for survival of tortoises. In planning future translocation projects and conservation efforts, decision makers should consider habitats with terrain and underlying substrate that sustain cover sites with long tunnels and expanded openings for tortoises living under temperature extremes similar to those described here or as projected in the future.</p>","language":"English","publisher":"The Society for the Study of Amphibians and Reptiles","doi":"10.1670/13-080","usgsCitation":"Mack, J.S., Berry, K.H., Miller, D., and Carlson, A.S., 2015, Factors affecting the thermal environment of Agassiz’s Desert Tortoise (<i>Gopherus agassizii</i>) cover sites in the Central Mojave Desert during periods of temperature extremes: Journal of Herpetology, v. 49, no. 3, p. 405-414, https://doi.org/10.1670/13-080.","productDescription":"10 p.","startPage":"405","endPage":"414","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008005","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":311399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Mojave desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.14996337890625,\n              35.49757411565533\n            ],\n            [\n              -116.663818359375,\n              35.50651802802079\n            ],\n            [\n              -116.63497924804688,\n              35.40696093270201\n            ],\n            [\n              -116.47430419921875,\n              35.40136418330354\n            ],\n            [\n              -116.47979736328125,\n              35.3285710912542\n            ],\n            [\n              -116.28341674804689,\n              35.34425514918409\n            ],\n            [\n              -116.27517700195312,\n              35.306160014550784\n            ],\n            [\n              -116.50039672851561,\n              35.112045209072974\n            ],\n            [\n              -117.12112426757811,\n              35.055856273399804\n            ],\n            [\n              -117.23098754882811,\n              35.016500995886005\n            ],\n            [\n              -117.24472045898436,\n              35.07159307658134\n            ],\n            [\n              -117.11975097656249,\n              35.088450570365396\n            ],\n            [\n              -117.14996337890625,\n              35.49757411565533\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564b0c47e4b0ebfbef0d314a","contributors":{"authors":[{"text":"Mack, Jeremy S. jmack@usgs.gov","contributorId":3851,"corporation":false,"usgs":true,"family":"Mack","given":"Jeremy","email":"jmack@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":579893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":579892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":579894,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson, Andrea S.","contributorId":149879,"corporation":false,"usgs":false,"family":"Carlson","given":"Andrea","email":"","middleInitial":"S.","affiliations":[{"id":17847,"text":"USGS-WERC","active":true,"usgs":false}],"preferred":false,"id":579895,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159958,"text":"70159958 - 2015 - Shifts in the eruptive styles at Stromboli in 2010–2014 revealed by ground-based InSAR data","interactions":[],"lastModifiedDate":"2015-12-04T16:11:07","indexId":"70159958","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Shifts in the eruptive styles at Stromboli in 2010–2014 revealed by ground-based InSAR data","docAbstract":"<p>Ground-Based Interferometric Synthetic Aperture Radar (GBInSAR) is an efficient technique for capturing short, subtle episodes of conduit pressurization in open vent volcanoes like Stromboli (Italy), because it can detect very shallow magma storage, which is difficult to identify using other methods. This technique allows the user to choose the optimal radar location for measuring the most significant deformation signal, provides an exceptional geometrical resolution, and allows for continuous monitoring of the deformation. Here, we present and model ground displacements collected at Stromboli by GBInSAR from January 2010 to August 2014. During this period, the volcano experienced several episodes of intense volcanic activity, culminated in the effusive flank eruption of August 2014. Modelling of the deformation allowed us to estimate a source depth of 482 &plusmn; 46 m a.s.l. The cumulative volume change was 4.7 &plusmn; 2.6 &times; 105 m3. The strain energy of the source was evaluated 3&ndash;5 times higher than the surface energy needed to open the 6&ndash;7 August eruptive fissure. The analysis proposed here can help forecast shifts in the eruptive style and especially the onset of flank eruptions at Stromboli and at similar volcanic systems (e.g. Etna, Piton de La Fournaise, Kilauea).</p>","language":"English","publisher":"Nature Publishing Group (NPG)","doi":"10.1038/srep13569","usgsCitation":"Di Traglia, F., Battaglia, M., Nolesini, T., Lagomarsino, D., and Casaglia, N., 2015, Shifts in the eruptive styles at Stromboli in 2010–2014 revealed by ground-based InSAR data: Scientific Reports, no. 5, 11 p., https://doi.org/10.1038/srep13569.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064541","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471838,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep13569","text":"Publisher Index Page"},{"id":311951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311915,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.com/articles/srep13569"}],"country":"Italy","otherGeospatial":"Stromboli","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              15.213661193847658,\n              38.81189098781871\n            ],\n            [\n              15.190315246582033,\n              38.79771102715645\n            ],\n            [\n              15.184478759765627,\n              38.790753788294424\n            ],\n            [\n              15.191688537597654,\n              38.7800490179011\n            ],\n            [\n              15.201988220214846,\n              38.77656962147866\n            ],\n            [\n              15.215721130371096,\n              38.77041335043523\n            ],\n            [\n              15.226364135742188,\n              38.77442837007637\n            ],\n            [\n              15.232543945312498,\n              38.78459874169886\n            ],\n            [\n              15.240097045898438,\n              38.79450007821985\n            ],\n            [\n              15.24421691894531,\n              38.80573776659133\n            ],\n            [\n              15.228080749511719,\n              38.812426025416734\n            ],\n            [\n              15.216751098632812,\n              38.81296105899589\n            ],\n            [\n              15.213661193847658,\n              38.81189098781871\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"5662c759e4b06a3ea36c67cb","contributors":{"authors":[{"text":"Di Traglia, Federico","contributorId":150264,"corporation":false,"usgs":false,"family":"Di Traglia","given":"Federico","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battaglia, Maurizio mbattaglia@usgs.gov","contributorId":139631,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","email":"mbattaglia@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":581187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolesini, Teresa","contributorId":150265,"corporation":false,"usgs":false,"family":"Nolesini","given":"Teresa","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lagomarsino, Daniela","contributorId":150266,"corporation":false,"usgs":false,"family":"Lagomarsino","given":"Daniela","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casaglia, Nicola","contributorId":150267,"corporation":false,"usgs":false,"family":"Casaglia","given":"Nicola","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581191,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70157268,"text":"70157268 - 2015 - Improving efficiency and reliability of environmental DNA analysis for silver carp","interactions":[],"lastModifiedDate":"2015-09-17T10:54:53","indexId":"70157268","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Improving efficiency and reliability of environmental DNA analysis for silver carp","docAbstract":"<p>Natural resource agencies have established surveillance programs which use environmental DNA (eDNA) for the early detection of bighead carp Hypophthalmichthys nobilis and silver carp Hypophthalmichthys molitrix before they establish populations within the Great Lakes. This molecular monitoring technique must be highly accurate and precise for confident interpretation and also efficient, both in detection threshold and cost. Therefore, we compared two DNA extraction techniques and compared a new quantitative PCR (qPCR) assay with the conventional PCR (cPCR) assay used by monitoring programs. Both the qPCR and cPCR assays were able to amplify the DNA of silver carp present in environmental samples taken from locations where mixed populations of bigheaded carps existed. However, the qPCR assay had substantially fewer PCR positive samples which were subsequently determined not to contain DNA of bigheaded carps than the cPCR assay. Additionally, the qPCR assay was able to amplify the DNA of bigheaded carps even in the presence of inhibitors that blocked amplification with cPCR. Also, the selection of an appropriate DNA extraction method can significantly alter the efficiency of eDNA surveillance programs by lowering detection limits and by decreasing costs associated with sample processing. The results reported herein are presently being incorporated into eDNA surveillance programs to decrease the costs, increase DNA yield and increase the confidence that assays are amplifying the target DNA. These results are critical to enhancing our ability to accurately and confidently interpret the results reported from monitoring programs using eDNA for early detection of invasive species.</p>","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2015.02.009","collaboration":"U.S. Fish and Wildlife Service; U.S. Army Corps of Engineers","usgsCitation":"Amberg, J., McCalla, S.G., Monroe, E., Lance, R., Baerwaldt, K., and Gaikowski, M., 2015, Improving efficiency and reliability of environmental DNA analysis for silver carp: Journal of Great Lakes Research, v. 41, no. 2, p. 367-373, https://doi.org/10.1016/j.jglr.2015.02.009.","productDescription":"7 p.","startPage":"367","endPage":"373","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055644","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":471836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2015.02.009","text":"Publisher Index Page"},{"id":308240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fbe43fe4b05d6c4e5028e8","contributors":{"authors":[{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":139518,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":572505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCalla, S. Grace smccalla@usgs.gov","contributorId":147738,"corporation":false,"usgs":true,"family":"McCalla","given":"S.","email":"smccalla@usgs.gov","middleInitial":"Grace","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":572506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monroe, Emy","contributorId":140978,"corporation":false,"usgs":false,"family":"Monroe","given":"Emy","affiliations":[{"id":13635,"text":"Whitney Genetics Lab, U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":572507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lance, Richard","contributorId":116452,"corporation":false,"usgs":false,"family":"Lance","given":"Richard","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":572508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baerwaldt, Kelly","contributorId":147739,"corporation":false,"usgs":false,"family":"Baerwaldt","given":"Kelly","affiliations":[{"id":16919,"text":"U.S. Army Corps of Engineers, St. Paul District","active":true,"usgs":false}],"preferred":false,"id":572509,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":140353,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":572510,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188145,"text":"70188145 - 2015 - Modelling multi-hazard hurricane damages on an urbanized coast with a Bayesian Network approach","interactions":[],"lastModifiedDate":"2017-06-01T12:52:37","indexId":"70188145","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Modelling multi-hazard hurricane damages on an urbanized coast with a Bayesian Network approach","docAbstract":"<p id=\"sp0005\">Hurricane flood impacts to residential buildings in coastal zones are caused by a number of hazards, such as inundation, overflow currents, erosion, and wave attack. However, traditional hurricane damage models typically make use of stage-damage functions, where the stage is related to flooding depth only. Moreover, these models are deterministic and do not consider the large amount of uncertainty associated with both the processes themselves and with the predictions. This uncertainty becomes increasingly important when multiple hazards (flooding, wave attack, erosion, etc.) are considered simultaneously. This paper focusses on establishing relationships between observed damage and multiple hazard indicators in order to make better probabilistic predictions. The concept consists of (1) determining Local Hazard Indicators (LHIs) from a hindcasted storm with use of a nearshore morphodynamic model, XBeach, and (2) coupling these LHIs and building characteristics to the observed damages. We chose a Bayesian Network approach in order to make this coupling and used the LHIs ‘Inundation depth’, ‘Flow velocity’, ‘Wave attack’, and ‘Scour depth’ to represent flooding, current, wave impacts, and erosion related hazards.</p><p id=\"sp0010\">The coupled hazard model was tested against four thousand damage observations from a case site at the Rockaway Peninsula, NY, that was impacted by Hurricane Sandy in late October, 2012. The model was able to accurately distinguish ‘Minor damage’ from all other outcomes 95% of the time and could distinguish areas that were affected by the storm, but not severely damaged, 68% of the time. For the most heavily damaged buildings (‘Major Damage’ and ‘Destroyed’), projections of the expected damage underestimated the observed damage. The model demonstrated that including multiple hazards doubled the prediction skill, with Log-Likelihood Ratio test (a measure of improved accuracy and reduction in uncertainty) scores between 0.02 and 0.17 when only one hazard is considered and a score of 0.37 when multiple hazards are considered simultaneously. The LHIs with the most predictive skill were ‘Inundation depth’ and ‘Wave attack’. The Bayesian Network approach has several advantages over the market-standard stage-damage functions: the predictive capacity of multiple indicators can be combined; probabilistic predictions can be obtained, which include uncertainty; and quantitative as well as descriptive information can be used simultaneously.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2015.05.006","usgsCitation":"van Verseveld, H., Van Dongeren, A., Plant, N.G., Jager, W., and den Heijer, C., 2015, Modelling multi-hazard hurricane damages on an urbanized coast with a Bayesian Network approach: Coastal Engineering, v. 103, p. 1-14, https://doi.org/10.1016/j.coastaleng.2015.05.006.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-083654","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":342005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593127b0e4b0e9bd0ea9ef12","contributors":{"authors":[{"text":"van Verseveld, H.C.W.","contributorId":192572,"corporation":false,"usgs":false,"family":"van Verseveld","given":"H.C.W.","email":"","affiliations":[],"preferred":false,"id":696882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Dongeren, A. R.","contributorId":55572,"corporation":false,"usgs":true,"family":"Van Dongeren","given":"A. R.","affiliations":[],"preferred":false,"id":696883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":696881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jager, W.S.","contributorId":192574,"corporation":false,"usgs":false,"family":"Jager","given":"W.S.","email":"","affiliations":[],"preferred":false,"id":696884,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"den Heijer, C.","contributorId":192575,"corporation":false,"usgs":false,"family":"den Heijer","given":"C.","affiliations":[],"preferred":false,"id":696885,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186566,"text":"70186566 - 2015 - Development of twelve microsatellite loci in the red tree corals <i>Primnoa resedaeformis</i> and <i>Primnoa pacifica</i>","interactions":[],"lastModifiedDate":"2017-04-05T15:57:17","indexId":"70186566","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development of twelve microsatellite loci in the red tree corals <i>Primnoa resedaeformis</i> and <i>Primnoa pacifica</i>","docAbstract":"<p><span>A suite of tetra-, penta-, and hexa-nucleotide microsatellite loci were developed from Roche 454 pyrosequencing data for the cold-water octocorals </span><i class=\"EmphasisTypeItalic \">Primnoa resedaeformis</i><span> and </span><i class=\"EmphasisTypeItalic \">P</i><span>. </span><i class=\"EmphasisTypeItalic \">pacifica</i><span>. Twelve of 98 primer sets tested consistently amplified in 30 </span><i class=\"EmphasisTypeItalic \">P</i><span>. </span><i class=\"EmphasisTypeItalic \">resedaeformis</i><span> samples from Baltimore Canyon (western North Atlantic Ocean) and in 24 </span><i class=\"EmphasisTypeItalic \">P</i><span>. </span><i class=\"EmphasisTypeItalic \">pacifica</i><span> samples (Shutter Ridge, eastern Gulf of Alaska). The loci displayed moderate levels of allelic diversity (average 7.5 alleles/locus) and heterozygosity (average 47&nbsp;%). Levels of genetic diversity were sufficient to produce unique multi-locus genotypes and to distinguish species. These common species are long-lived (hundreds of years) and provide essential fish habitat (</span><i class=\"EmphasisTypeItalic \">P</i><span>. </span><i class=\"EmphasisTypeItalic \">pacifica</i><span>), yet populations are provided little protection from human activities. These loci will be used to determine regional patterns of population connectivity to inform effective marine spatial planning and ecosystem-based fisheries management.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12686-015-0455-1","usgsCitation":"Morrison, C.L., Springmann, M.J., Shroades, K., and Stone, R.P., 2015, Development of twelve microsatellite loci in the red tree corals <i>Primnoa resedaeformis</i> and <i>Primnoa pacifica</i>: Conservation Genetics Resources, v. 7, no. 3, p. 763-765, https://doi.org/10.1007/s12686-015-0455-1.","productDescription":"3 p.","startPage":"763","endPage":"765","ipdsId":"IP-061828","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":339267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-21","publicationStatus":"PW","scienceBaseUri":"58e60273e4b09da6799ac685","contributors":{"authors":[{"text":"Morrison, Cheryl L. 0000-0001-9425-691X cmorrison@usgs.gov","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":146488,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","email":"cmorrison@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":689603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springmann, Marcus J. mspringmann@usgs.gov","contributorId":4372,"corporation":false,"usgs":true,"family":"Springmann","given":"Marcus","email":"mspringmann@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":689604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shroades, Kelsey kshroades@usgs.gov","contributorId":190568,"corporation":false,"usgs":true,"family":"Shroades","given":"Kelsey","email":"kshroades@usgs.gov","affiliations":[],"preferred":true,"id":689605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Robert P.","contributorId":190569,"corporation":false,"usgs":false,"family":"Stone","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":689606,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187117,"text":"70187117 - 2015 - Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments","interactions":[],"lastModifiedDate":"2018-09-04T16:28:10","indexId":"70187117","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments","docAbstract":"<p><span>Natural perchlorate (ClO</span><sub>4</sub><sup>−</sup><span>) is of increasing interest due to its wide-spread occurrence on Earth and Mars, yet little information exists on the relative abundance of ClO</span><sub>4</sub><sup>−</sup><span> compared to other major anions, its stability, or long-term variations in production that may impact the observed distributions. Our objectives were to evaluate the occurrence and fate of ClO</span><sub>4</sub><sup>−</sup><span> in groundwater and soils/caliche in arid and semi-arid environments (southwestern United States, southern Africa, United Arab Emirates, China, Antarctica, and Chile) and the relationship of ClO</span><sub>4</sub><sup>−</sup><span> to the more well-studied atmospherically deposited anions NO</span><sub>3</sub><sup>−</sup><span>and Cl</span><sup>−</sup><span> as a means to understand the prevalent processes that affect the accumulation of these species over various time scales. ClO</span><sub>4</sub><sup>−</sup><span> is globally distributed in soil and groundwater in arid and semi-arid regions on Earth at concentrations ranging from 10</span><sup>−1</sup><span>to 10</span><sup>6</sup><span>&nbsp;μg/kg. Generally, the ClO</span><sub>4</sub><sup>−</sup><span> concentration in these regions increases with aridity index, but also depends on the duration of arid conditions. In many arid and semi-arid areas, NO</span><sub>3</sub><sup>−</sup><span> and ClO</span><sub>4</sub><sup>−</sup><span> co-occur at molar ratios (NO</span><sub>3</sub><sup>−</sup><span>/ClO</span><sub>4</sub><sup>−</sup><span>) that vary between ∼10</span><sup>4</sup><span>and 10</span><sup>5</sup><span>. We hypothesize that atmospheric deposition ratios are largely preserved in hyper-arid areas that support little or no biological activity (e.g. plants or bacteria), but can be altered in areas with more active biological processes including N</span><sub>2</sub><span> fixation, N mineralization, nitrification, denitrification, and microbial ClO</span><sub>4</sub><sup>−</sup><span> reduction, as indicated in part by NO</span><sub>3</sub><sup>−</sup><span> isotope data. In contrast, much larger ranges of Cl</span><sup>−</sup><span>/ClO</span><sub>4</sub><sup>−</sup><span> and Cl</span><sup>−</sup><span>/NO</span><sub>3</sub><sup>−</sup><span>ratios indicate Cl</span><sup>−</sup><span> varies independently from both ClO</span><sub>4</sub><sup>−</sup><span> and NO</span><sub>3</sub><sup>−</sup><span>. The general lack of correlation between Cl</span><sup>−</sup><span> and ClO</span><sub>4</sub><sup>−</sup><span> or NO</span><sub>3</sub><sup>−</sup><span> implies that Cl</span><sup>−</sup><span> is not a good indicator of co-deposition and should be used with care when interpreting oxyanion cycling in arid systems. The Atacama Desert appears to be unique compared to all other terrestrial locations having a NO</span><sub>3</sub><sup>−</sup><span>/ClO</span><sub>4</sub><sup>−</sup><span> molar ratio ∼10</span><sup>3</sup><span>. The relative enrichment in ClO</span><sub>4</sub><sup>−</sup><span>compared to Cl</span><sup>−</sup><span> or NO</span><sub>3</sub><sup>−</sup><span> and unique isotopic composition of Atacama ClO</span><sub>4</sub><sup>−</sup><span> may reflect either additional </span><i>in-situ</i><span> production mechanism(s) or higher relative atmospheric production rates in that specific region or in the geological past. Elevated concentrations of ClO</span><sub>4</sub><sup>−</sup><span> reported on the surface of Mars, and its enrichment with respect to Cl</span><sup>−</sup><span> and NO</span><sub>3</sub><sup>−</sup><span>, could reveal important clues regarding the climatic, hydrologic, and potentially biologic evolution of that planet. Given the highly conserved ratio of NO</span><sub>3</sub><sup>−</sup><span>/ClO</span><sub>4</sub><sup>−</sup><span> in non-biologically active areas on Earth, it may be possible to use alterations of this ratio as a biomarker on Mars and for interpreting major anion cycles and processes on both Mars and Earth, particularly with respect to the less-conserved NO</span><sub>3</sub><sup>−</sup><span> pool terrestrially.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2015.05.016","usgsCitation":"Jackson, W., Bohlke, J., Andraski, B.J., Fahlquist, L.S., Bexfield, L.M., Eckardt, F.D., Gates, J.B., Davila, A.F., McKay, C.P., Rao, B., Sevanthi, R., Rajagopalan, S., Estrada, N., Sturchio, N.C., Hatzinger, P.B., Anderson, T.A., Orris, G.J., Betancourt, J.L., Stonestrom, D.A., Latorre, C., Li, Y., and Harvey, G.J., 2015, Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments: Geochimica et Cosmochimica Acta, v. 164, p. 502-522, https://doi.org/10.1016/j.gca.2015.05.016.","productDescription":"21 p.","startPage":"502","endPage":"522","ipdsId":"IP-065217","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":488634,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3271287","text":"External Repository"},{"id":340174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"164","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0ea2e4b006455f2d61d8","contributors":{"authors":[{"text":"Jackson, W Andrew","contributorId":191265,"corporation":false,"usgs":false,"family":"Jackson","given":"W Andrew","affiliations":[],"preferred":false,"id":692539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":692538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":692540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fahlquist, Lynne S. 0000-0002-4993-4037 lfahlqst@usgs.gov","orcid":"https://orcid.org/0000-0002-4993-4037","contributorId":1051,"corporation":false,"usgs":true,"family":"Fahlquist","given":"Lynne","email":"lfahlqst@usgs.gov","middleInitial":"S.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bexfield, Laura M. 0000-0002-1789-654X bexfield@usgs.gov","orcid":"https://orcid.org/0000-0002-1789-654X","contributorId":1273,"corporation":false,"usgs":true,"family":"Bexfield","given":"Laura","email":"bexfield@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eckardt, Frank D.","contributorId":21800,"corporation":false,"usgs":true,"family":"Eckardt","given":"Frank","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":692543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gates, John B.","contributorId":177625,"corporation":false,"usgs":false,"family":"Gates","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":692544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Davila, Alfonso F.","contributorId":16282,"corporation":false,"usgs":true,"family":"Davila","given":"Alfonso","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":692545,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McKay, Christopher P.","contributorId":58156,"corporation":false,"usgs":true,"family":"McKay","given":"Christopher","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":692546,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rao, Balaji","contributorId":191111,"corporation":false,"usgs":false,"family":"Rao","given":"Balaji","email":"","affiliations":[],"preferred":false,"id":692547,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sevanthi, Ritesh","contributorId":191112,"corporation":false,"usgs":false,"family":"Sevanthi","given":"Ritesh","email":"","affiliations":[],"preferred":false,"id":692548,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rajagopalan, Srinath","contributorId":191269,"corporation":false,"usgs":false,"family":"Rajagopalan","given":"Srinath","email":"","affiliations":[],"preferred":false,"id":692549,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Estrada, Nubia","contributorId":176622,"corporation":false,"usgs":false,"family":"Estrada","given":"Nubia","affiliations":[],"preferred":false,"id":692550,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":692551,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hatzinger, Paul B.","contributorId":149376,"corporation":false,"usgs":false,"family":"Hatzinger","given":"Paul","email":"","middleInitial":"B.","affiliations":[{"id":17721,"text":"Shaw Environmental, Princeton, NJ","active":true,"usgs":false}],"preferred":false,"id":692552,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Anderson, Todd A.","contributorId":191110,"corporation":false,"usgs":false,"family":"Anderson","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":692553,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Orris, Greta J. 0000-0002-2340-9955 greta@usgs.gov","orcid":"https://orcid.org/0000-0002-2340-9955","contributorId":3472,"corporation":false,"usgs":true,"family":"Orris","given":"Greta","email":"greta@usgs.gov","middleInitial":"J.","affiliations":[{"id":662,"text":"Western 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dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":692556,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Latorre, Claudio","contributorId":191270,"corporation":false,"usgs":false,"family":"Latorre","given":"Claudio","affiliations":[],"preferred":false,"id":692557,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Li, Yanhe","contributorId":191271,"corporation":false,"usgs":false,"family":"Li","given":"Yanhe","email":"","affiliations":[],"preferred":false,"id":692558,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Harvey, Gregory J.","contributorId":48640,"corporation":false,"usgs":true,"family":"Harvey","given":"Gregory","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692559,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70157535,"text":"70157535 - 2015 - An evaluation of a bed instability index as an indicator of habitat quality in mountain streams of the northwestern United States","interactions":[],"lastModifiedDate":"2015-09-28T10:09:49","indexId":"70157535","displayToPublicDate":"2015-08-31T21:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of a bed instability index as an indicator of habitat quality in mountain streams of the northwestern United States","docAbstract":"<p><span>Managers of aquatic resources benefit from indices of habitat quality that are reproducible and easy to measure, demonstrate a link between habitat quality and biota health, and differ between human-impacted (i.e., managed) and reference (i.e., nonimpacted or minimally impacted) conditions. The instability index (ISI) is an easily measured index that describes the instability of a streambed by relating the tractive force of a stream at bankfull discharge to the median substrate size. Previous studies have linked ISI to biological condition but have been limited to comparisons of sites within a single stream or among a small number of streams. We tested ISI as an indicator of human impact to habitat and biota in mountain streams of the northwestern USA. Among 1428 sites in six northwestern states, ISI was correlated with other habitat measures (e.g., residual pool depth, percent fine sediment) and indices of biotic health (e.g., number of intolerant macroinvertebrate taxa, fine sediment biotic index) and differed between managed and reference sites across a range of stream types and ecoregions. While ISI could be useful in mountain streams throughout the world, this index may be of particular interest to aquatic resource managers in the northwestern USA where a large dataset, from which ISI can be calculated, exists.</span></p>","language":"English","publisher":"Springer","publisherLocation":"Berlin, Germany","doi":"10.1007/s10661-015-4714-0","collaboration":"Paul C. Kusnierz; David L. Feldman","usgsCitation":"Kusnierz, P.C., Holbrook, C., and Feldman, D.L., 2015, An evaluation of a bed instability index as an indicator of habitat quality in mountain streams of the northwestern United States: Environmental Monitoring and Assessment, no. 187, 19 p., https://doi.org/10.1007/s10661-015-4714-0.","productDescription":"19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066568","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":308650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Idaho, Utah, Nevada, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.81640624999999,\n              41.27780646738183\n            ],\n            [\n              -121.81640624999999,\n              48.96579381461063\n            ],\n            [\n              -110.23681640625,\n              48.96579381461063\n            ],\n            [\n              -110.23681640625,\n              41.27780646738183\n            ],\n            [\n              -121.81640624999999,\n              41.27780646738183\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"187","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-20","publicationStatus":"PW","scienceBaseUri":"560a64b2e4b058f706e536b7","contributors":{"authors":[{"text":"Kusnierz, Paul C.","contributorId":13881,"corporation":false,"usgs":true,"family":"Kusnierz","given":"Paul","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":573480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":573479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feldman, David L.","contributorId":25689,"corporation":false,"usgs":true,"family":"Feldman","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573481,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148018,"text":"ds919 - 2015 - Groundwater quality data in 15 GAMA study units: results from the 2006–10 Initial sampling and the 2009–13 resampling of wells, California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2015-09-03T08:44:52","indexId":"ds919","displayToPublicDate":"2015-08-31T19:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"919","title":"Groundwater quality data in 15 GAMA study units: results from the 2006–10 Initial sampling and the 2009–13 resampling of wells, California GAMA Priority Basin Project","docAbstract":"<p class=\"p1\">The Priority Basin Project (PBP) of the Groundwater Ambient Monitoring and Assessment (GAMA) program was developed in response to the Groundwater Quality Monitoring Act of 2001 and is being conducted by the U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board (SWRCB). From May 2004 to March 2012, the GAMA-PBP collected samples from more than 2,300 wells in 35 study units across the State. Selected wells in each study unit were sampled again approximately 3 years after initial sampling as part of an assessment of temporal trends in water quality by the GAMA-PBP. This triennial (every 3 years) trend sampling of GAMA-PBP study units concluded in December 2013. Fifteen of the study units, initially sampled between January 2006 and June 2010 and sampled a second time between April 2009 and April 2013 to assess temporal trends, are the subject of this report.</p>\n<p class=\"p1\">The initial sampling was designed to provide a spatially unbiased assessment of the quality of untreated groundwater used for public water supplies in the 15 study units. In these study units, 730 wells were selected by using a spatially distributed, randomized grid-based method to provide statistical representation of the areas assessed (grid wells, also called &ldquo;status wells&rdquo;). Approximately 3 years after the initial sampling, 93 of the previously sampled status wells (approximately 10 percent in each study unit) were randomly selected for trend sampling (&ldquo;trend wells&rdquo;). The 15 study units sampled for trends were distributed among 4 hydrogeologic provinces: Central Valley, Basin and Range, Desert, and Transverse and selected Peninsular Ranges.&nbsp;</p>\n<p class=\"p1\">The total number of status wells sampled, along with those sampled again for trends, varied by study unit. In the Central Valley hydrogeologic province, the numbers of status wells and trend wells in each study unit were as follows:&nbsp;</p>\n<ul>\n<li>Kern County subbasin study unit&mdash;47 status wells, 5 trend wells</li>\n<li>Central Eastside San Joaquin Basin study unit&mdash;58 status wells, 6 trend wells&nbsp;</li>\n<li>Middle Sacramento Valley study unit&mdash;71 status wells, 8 trend wells</li>\n<li>Northern Sacramento Valley study unit&mdash;43 status wells, 4 trend wells&nbsp;</li>\n<li>Madera&ndash;Chowchilla study unit&mdash;30 status wells, 4 trend wells</li>\n<li>Western San Joaquin Valley study unit&mdash;39 status wells, 4 trend wells.</li>\n<li>The Basin and Range hydrogeologic province had only one study unit:&nbsp;</li>\n<li>Owens and Indian Wells Valleys study unit&mdash;53 status wells, 6 trend wells.&nbsp;</li>\n<li>In the Desert hydrogeologic province, the numbers of wells were as follows:&nbsp;</li>\n<li>Coachella Valley study unit&mdash;19 status wells 4 trend wells</li>\n<li>Colorado River study unit&mdash;20 status wells, 3 trend wells</li>\n<li>Antelope Valley study unit&mdash;56 status wells, 6 trend wells</li>\n<li>Mojave study unit&mdash;52 status wells, 7 trend wells</li>\n<li>Borrego Valley, Central Desert and Low-Use Basins of the Mojave and Sonoran Deserts study unit&mdash;49 status wells, 6 trend wells.&nbsp;</li>\n</ul>\n<p class=\"p1\">In the Transverse and Selected Peninsular Ranges hydrogeologic province, the numbers of wells were as follows:&nbsp;</p>\n<ul>\n<li>Coastal Los Angeles Basin study unit&mdash;61 status wells, 8 trend wells&nbsp;</li>\n<li>Upper Santa Ana Watershed study unit&mdash;90 status wells, 16 trend wells&nbsp;</li>\n<li>Santa Clara River Valley study unit&mdash;42 status wells, 6 trend wells.</li>\n</ul>\n<p class=\"p4\">&nbsp;</p>\n<p class=\"p1\">The groundwater samples were analyzed for a number of synthetic organic constituents (volatile organic compounds, pesticides, and pesticide degradates), constituents of special interest (perchlorate, <i>N</i>-nitrosodimethylamine [NDMA], and 1,2,3-trichloropropane [1,2,3-TCP]), and naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements). Naturally occurring isotopes (tritium, carbon-14, and stable isotopes of hydrogen and oxygen in water) also were measured to help identify processes affecting groundwater quality and the sources and ages of the sampled groundwater. More than 200 constituents and water-quality indicators were investigated.</p>\n<p class=\"p1\">Quality-control samples (blanks, replicates, or samples for matrix spikes) were collected at 34 percent of the trend wells, and the results for these samples were used to evaluate the quality of the data for the groundwater samples. On the basis of detections in laboratory and field blanks in samples from GAMA-PBP study units, including the study units presented here, some groundwater results were adjusted in this report. Differences between replicate samples were mostly within acceptable ranges, indicating acceptably low variability in analytical results. Median matrix-spike recoveries were within the acceptable range (70 to 130 percent) for 189 of the 224 compounds for which matrix spikes were analyzed (84 percent).</p>\n<p class=\"p1\">This study did not attempt to evaluate the quality of water delivered to consumers. After withdrawal, groundwater used for drinking water typically is treated, disinfected, and blended with other waters to attain acceptable water quality. The benchmarks used in this report apply to treated water that is served to the consumer, not to untreated groundwater. To provide some context for the results, however, concentrations of constituents measured in these groundwater samples were compared with benchmarks established by the U.S. Environmental Protection Agency and California Department of Public Health. Comparisons between data collected for this study and benchmarks for drinking-water quality are for illustrative purposes only and are not indicative of compliance or non-compliance with those benchmarks.</p>\n<p class=\"p1\">Most constituents that were detected in groundwater samples from the trend wells were found at concentrations less than drinking-water benchmarks. Two volatile organic compounds (VOCs)&mdash;tetrachloroethene and trichloroethene&mdash;were detected in samples from one or more wells at concentrations greater than their health-based benchmarks, and three VOCs&mdash;chloroform, tetrachloroethene, and trichloroethene&mdash;were detected in at least 10 percent of the trend-well samples from the initial sampling period and the later trend sampling period. No pesticides were detected at concentrations near or greater than their health-based benchmarks. Three pesticide constituents&mdash;atrazine, deethylatrazine, and simazine&mdash;were detected in more than 10 percent of the trend-well samples in both sampling periods. Perchlorate, a constituent of special interest, was detected at a concentration greater than its health-based benchmark in samples from one trend well in the initial sampling and trend sampling periods, and in an additional trend well sample only in the trend sampling period. Most detections of nutrients, major and minor ions, and trace elements in samples from trend wells were less than health-based benchmarks in both sampling periods. Exceptions included nitrate, fluoride, arsenic, boron, molybdenum, strontium, and uranium; these were all detected at concentrations greater than their health-based benchmarks in at least one well sample in both sampling periods. Lead and vanadium were detected above their health-based benchmarks in one sample each collected in the initial sampling period only. The isotopic ratios of oxygen and hydrogen in water and the activities of tritium and carbon-14 generally changed little between sampling periods.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds919","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Kent, Robert, 2015, Groundwater quality data in 15 GAMA study units: Results from the 2006–10 initial sampling and the 2009–13 resampling of wells, California GAMA Priority Basin Project: U.S. Geological Survey Data Series 919, 219 p., https://dx.doi.org/10.3133/ds919.","productDescription":"Report: x, 220 p.; Appendix tables","numberOfPages":"234","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050712","costCenters":[{"id":154,"text":"California Water Science 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 \"}}]}","contact":"<p class=\"p1\"><a href=\"mailto:dc_ca@usgs.gov\">Director</a>,&nbsp;California Water Science Center<br /> U.S. Geological Survey<br /> 6000 J Street, Placer Hall<br /> Sacramento, CA 95819<br /><a href=\"http://ca.water.usgs.gov\">http://ca.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract.</li>\n<li>Introduction</li>\n<li>Methods</li>\n<li>Water-Quality Results</li>\n<li>Future Work</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendix</li>\n</ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2015-08-31","noUsgsAuthors":false,"publicationDate":"2015-08-31","publicationStatus":"PW","scienceBaseUri":"55e6cc33e4b05561fa20a017","contributors":{"authors":[{"text":"Kent, Robert 0000-0003-4174-9467 rhkent@usgs.gov","orcid":"https://orcid.org/0000-0003-4174-9467","contributorId":1445,"corporation":false,"usgs":true,"family":"Kent","given":"Robert","email":"rhkent@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":546837,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156721,"text":"70156721 - 2015 - Soil carbon storage following road removal and timber harvesting in redwood forests","interactions":[],"lastModifiedDate":"2018-03-21T14:38:14","indexId":"70156721","displayToPublicDate":"2015-08-31T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Soil carbon storage following road removal and timber harvesting in redwood forests","docAbstract":"<p><span>Soil carbon storage plays a key role in the global carbon cycle and is important for sustaining forest productivity. Removal of unpaved forest roads has the potential for increasing carbon storage in soils on forested terrain as treated sites revegetate and soil properties improve on the previously compacted road surfaces. We compared soil organic carbon (SOC) content at several depths on treated roads to SOC in adjacent second-growth forests and old-growth redwood forests in California, determined whether SOC in the upper 50 cm of soil varies with the type of road treatment, and assessed the relative importance of site-scale and landscape-scale variables in predicting SOC accumulation in treated road prisms and second-growth redwood forests. Soils were sampled at 5, 20, and 50 cm depths on roads treated by two methods (decommissioning and full recontouring), and in adjacent second-growth and old-growth forests in north coastal California. Road treatments spanned a period of 32 years, and covered a range of geomorphic and vegetative conditions. SOC decreased with depth at all sites. Treated roads on convex sites exhibited higher SOC than on concave sites, and north aspect sites had higher SOC than south aspect sites. SOC at 5, 20, and 50 cm depths did not differ significantly between decommissioned roads (treated 18&ndash;32 years previous) and fully recontoured roads (treated 2&ndash;12 years previous). Nevertheless, stepwise multiple regression models project higher SOC developing on fully recontoured roads in the next few decades. The best predictors for SOC on treated roads and in second-growth forest incorporated aspect, vegetation type, soil depth, lithology, distance from the ocean, years since road treatment (for the road model) and years since harvest (for the forest model). The road model explained 48% of the variation in SOC in the upper 50 cm of mineral soils and the forest model, 54%</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.3781","usgsCitation":"Seney, J., and Madej, M.A., 2015, Soil carbon storage following road removal and timber harvesting in redwood forests: Earth Surface Processes and Landforms, v. 40, no. 15, p. 2084-2092, https://doi.org/10.1002/esp.3781.","productDescription":"9 p.","startPage":"2084","endPage":"2092","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059660","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471842,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.3781","text":"Publisher Index Page"},{"id":307736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Redwood National and State Parks","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.10705566406249,\n              41.21585377825921\n            ],\n            [\n              -124.10705566406249,\n              41.176586696571015\n            ],\n            [\n              -123.99719238281249,\n              41.071069130806414\n            ],\n            [\n              -123.93402099609374,\n              41.05864414643029\n            ],\n            [\n              -123.8653564453125,\n              41.089702205437405\n            ],\n            [\n              -123.837890625,\n              41.143501411390766\n            ],\n            [\n              -123.91204833984375,\n              41.19725651800892\n            ],\n            [\n              -123.95599365234375,\n              41.244772343082104\n            ],\n            [\n              -123.9312744140625,\n              41.31907562295136\n            ],\n            [\n              -123.914794921875,\n              41.3850519497068\n            ],\n            [\n              -123.99444580078125,\n              41.44684402008925\n            ],\n            [\n              -124.03289794921876,\n              41.48389104267175\n            ],\n            [\n              -124.09332275390624,\n              41.50652046891492\n            ],\n            [\n              -124.068603515625,\n              41.47154438707647\n            ],\n            [\n              -124.07135009765625,\n              41.38917324986403\n            ],\n            [\n              -124.08782958984375,\n              41.29638081886435\n            ],\n            [\n              -124.09606933593751,\n              41.22824901518532\n            ],\n            [\n              -124.10705566406249,\n              41.21585377825921\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"15","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-03","publicationStatus":"PW","scienceBaseUri":"55e56ca3e4b05561fa208672","contributors":{"authors":[{"text":"Seney, Joseph","contributorId":53265,"corporation":false,"usgs":true,"family":"Seney","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":570243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madej, Mary Ann 0000-0003-2831-3773 mary_ann_madej@usgs.gov","orcid":"https://orcid.org/0000-0003-2831-3773","contributorId":40304,"corporation":false,"usgs":true,"family":"Madej","given":"Mary","email":"mary_ann_madej@usgs.gov","middleInitial":"Ann","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570242,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156723,"text":"70156723 - 2015 - Concentration and retention of <i>Toxoplasma gondii</i> oocysts by marine snails demonstrate a novel mechanism for transmission of terrestrial zoonotic pathogens in coastal ecosystems","interactions":[],"lastModifiedDate":"2015-11-30T11:11:16","indexId":"70156723","displayToPublicDate":"2015-08-31T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1548,"text":"Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Concentration and retention of <i>Toxoplasma gondii</i> oocysts by marine snails demonstrate a novel mechanism for transmission of terrestrial zoonotic pathogens in coastal ecosystems","docAbstract":"<p><span>The parasite&nbsp;</span><i>T</i><i>oxoplasma gondii</i><span>&nbsp;is an environmentally persistent pathogen that can cause fatal disease in humans, terrestrial warm-blooded animals and aquatic mammals. Although an association between&nbsp;</span><i>T</i><i>.&thinsp;gondii</i><span>&nbsp;exposure and prey specialization on marine snails was identified in threatened California sea otters, the ability of kelp-dwelling snails to transmit terrestrially derived pathogens has not been previously investigated. The objective of this study was to measure concentration and retention of&nbsp;</span><i>T</i><i>.&thinsp;gondii</i><span>&nbsp;by marine snails in laboratory aquaria, and to test for natural&nbsp;</span><i>T</i><i>.&thinsp;gondii</i><span>&nbsp;contamination in field-collected snails. Following exposure to&nbsp;</span><i>T</i><i>.&thinsp;gondii</i><span>-containing seawater, oocysts were detected by microscopy in snail faeces and tissues for 10 and 3 days respectively. Nested polymerase chain reaction was also applied as a method for confirming putative&nbsp;</span><i>T</i><i>.&thinsp;gondii</i><span>&nbsp;oocysts detected in snail faeces and tissues by microscopy.&nbsp;</span><i>T</i><i>oxoplasma gondii</i><span>was not detected in field-collected snails. Results suggest that turban snails are competent transport hosts for&nbsp;</span><i>T</i><i>.&thinsp;gondii</i><span>. By concentrating oocysts in faecal pellets, snails may facilitate entry of&nbsp;</span><i>T</i><i>.&thinsp;gondii</i><span>&nbsp;into the nearshore marine food web. This novel mechanism also represents a general pathway by which marine transmission of terrestrially derived microorganisms can be mediated via pathogen concentration and retention by benthic invertebrates.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1462-2920.12927","usgsCitation":"Krusor, C., Smith, W.A., Tinker, M.T., Silver, M., Conrad, P., and Shapiro, K., 2015, Concentration and retention of <i>Toxoplasma gondii</i> oocysts by marine snails demonstrate a novel mechanism for transmission of terrestrial zoonotic pathogens in coastal ecosystems: Environmental Microbiology, v. 17, no. 11, p. 4527-4537, https://doi.org/10.1111/1462-2920.12927.","productDescription":"11 p.","startPage":"4527","endPage":"4537","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066042","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":307728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"11","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-22","publicationStatus":"PW","scienceBaseUri":"55e56ca2e4b05561fa20866a","contributors":{"authors":[{"text":"Krusor, Colin","contributorId":147097,"corporation":false,"usgs":false,"family":"Krusor","given":"Colin","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":570262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Woutrina A.","contributorId":147098,"corporation":false,"usgs":false,"family":"Smith","given":"Woutrina","email":"","middleInitial":"A.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":570263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Silver, Mary","contributorId":147099,"corporation":false,"usgs":false,"family":"Silver","given":"Mary","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":570264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrad, Patricia A.","contributorId":88289,"corporation":false,"usgs":true,"family":"Conrad","given":"Patricia A.","affiliations":[],"preferred":false,"id":570265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shapiro, Karen","contributorId":147100,"corporation":false,"usgs":false,"family":"Shapiro","given":"Karen","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":570266,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70156722,"text":"70156722 - 2015 - Tree mortality from drought, insects, and their interactions in a changing climate","interactions":[],"lastModifiedDate":"2018-01-23T09:30:31","indexId":"70156722","displayToPublicDate":"2015-08-31T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Tree mortality from drought, insects, and their interactions in a changing climate","docAbstract":"<p><span>Climate change is expected to drive increased tree mortality through drought, heat stress, and insect attacks, with manifold impacts on forest ecosystems. Yet, climate-induced tree mortality and biotic disturbance agents are largely absent from process-based ecosystem models. Using data sets from the western USA and associated studies, we present a framework for determining the relative contribution of drought stress, insect attack, and their interactions, which is critical for modeling mortality in future climates. We outline a simple approach that identifies the mechanisms associated with two guilds of insects &ndash; bark beetles and defoliators &ndash; which are responsible for substantial tree mortality. We then discuss cross-biome patterns of insect-driven tree mortality and draw upon available evidence contrasting the prevalence of insect outbreaks in temperate and tropical regions. We conclude with an overview of tools and promising avenues to address major challenges. Ultimately, a multitrophic approach that captures tree physiology, insect populations, and tree&ndash;insect interactions will better inform projections of forest ecosystem responses to climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/nph.13477","usgsCitation":"Anderegg, W.R., Hicke, J.A., Fisher, R.A., Allen, C.D., Aukema, J.E., Bentz, B., Hood, S., Lichstein, J.W., Macalady, A.K., McDowell, N.G., Pan, Y., Raffa, K., Sala, A., Shaw, J.D., Stephenson, N.L., Tague, C.L., and Zeppel, M., 2015, Tree mortality from drought, insects, and their interactions in a changing climate: New Phytologist, v. 208, no. 3, p. 674-683, https://doi.org/10.1111/nph.13477.","productDescription":"10 p.","startPage":"674","endPage":"683","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057138","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.13477","text":"Publisher Index Page"},{"id":307729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"208","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-09","publicationStatus":"PW","scienceBaseUri":"55e56ca3e4b05561fa208675","chorus":{"doi":"10.1111/nph.13477","url":"http://dx.doi.org/10.1111/nph.13477","publisher":"Wiley-Blackwell","authors":"Anderegg William R. L., Hicke Jeffrey A., Fisher Rosie A., Allen Craig D., Aukema Juliann, Bentz Barbara, Hood Sharon, Lichstein Jeremy W., Macalady Alison K., McDowell Nate, Pan Yude, Raffa Kenneth, Sala Anna, Shaw John D., Stephenson Nathan L., Tague Christina, Zeppel Melanie","journalName":"New Phytologist","publicationDate":"6/9/2015","auditedOn":"10/27/2015"},"contributors":{"authors":[{"text":"Anderegg, William R.L.","contributorId":147089,"corporation":false,"usgs":false,"family":"Anderegg","given":"William","email":"","middleInitial":"R.L.","affiliations":[{"id":16784,"text":"Princeton U.","active":true,"usgs":false}],"preferred":false,"id":570245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hicke, Jeffrey A.","contributorId":36475,"corporation":false,"usgs":true,"family":"Hicke","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Rosie A.","contributorId":147090,"corporation":false,"usgs":false,"family":"Fisher","given":"Rosie","email":"","middleInitial":"A.","affiliations":[{"id":16785,"text":"National Center for Atmospheric Research, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":570247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":570248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aukema, Juliann E.","contributorId":145837,"corporation":false,"usgs":false,"family":"Aukema","given":"Juliann","email":"","middleInitial":"E.","affiliations":[{"id":16252,"text":"National Center for Ecological Analysis & Synthesis (NCEAS), University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":570249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bentz, Barbara","contributorId":146954,"corporation":false,"usgs":false,"family":"Bentz","given":"Barbara","affiliations":[],"preferred":false,"id":570250,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hood, Sharon","contributorId":147091,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","affiliations":[{"id":16786,"text":"U of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":570251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lichstein, Jeremy W.","contributorId":147092,"corporation":false,"usgs":false,"family":"Lichstein","given":"Jeremy","email":"","middleInitial":"W.","affiliations":[{"id":16787,"text":"U of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":570252,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Macalady, Alison K.","contributorId":69855,"corporation":false,"usgs":true,"family":"Macalady","given":"Alison","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":570253,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McDowell, Nate G.","contributorId":46839,"corporation":false,"usgs":true,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":570254,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pan, Yude","contributorId":68872,"corporation":false,"usgs":true,"family":"Pan","given":"Yude","email":"","affiliations":[],"preferred":false,"id":570255,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Raffa, Kenneth","contributorId":147093,"corporation":false,"usgs":false,"family":"Raffa","given":"Kenneth","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":570256,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sala, Anna","contributorId":147094,"corporation":false,"usgs":false,"family":"Sala","given":"Anna","email":"","affiliations":[{"id":5103,"text":"The University of Montana, Division of Biological Sciences, Missoula, Montana 59812","active":true,"usgs":false}],"preferred":false,"id":570257,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shaw, John D.","contributorId":147095,"corporation":false,"usgs":false,"family":"Shaw","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":570258,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570244,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tague, Christina L.","contributorId":54493,"corporation":false,"usgs":true,"family":"Tague","given":"Christina","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":570259,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zeppel, Melanie","contributorId":147096,"corporation":false,"usgs":false,"family":"Zeppel","given":"Melanie","email":"","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":570260,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70156557,"text":"ds952 - 2015 - Baseline Coastal Oblique Aerial Photographs Collected from Navarre Beach, Florida, to Breton Island, Louisiana,  <br>September 1, 2014","interactions":[],"lastModifiedDate":"2015-09-01T16:01:20","indexId":"ds952","displayToPublicDate":"2015-08-31T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"952","title":"Baseline Coastal Oblique Aerial Photographs Collected from Navarre Beach, Florida, to Breton Island, Louisiana,  <br>September 1, 2014","docAbstract":"<h1>Summary</h1>\n<p>The U.S. Geological Survey (USGS), as part of the <a title=\"National Assessment for Coastal Change Hazards\" href=\"http://coastal.er.usgs.gov/hurricanes/\" target=\"_blank\">National Assessment for Coastal Change Hazards</a> Project, conducts baseline and storm response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On September 1, 2014, the USGS conducted an oblique aerial photographic survey from Navarre Beach, Florida, to Breton Island, Louisiana (Figure 1), aboard a Maule MT57 aircraft at an altitude of 500 feet (ft) and approximately 1,200 ft offshore (Figure 2). This mission was flown to collect baseline data for assessing incremental changes since the last survey, flown <a title=\"Baseline Coastal Oblique Aerial Photographs Collected from Breton Island, Louisiana, to the Alabama-Florida Border, July 13, 2013\" href=\"http://pubs.usgs.gov/ds/0857/\">July 2013,</a> and the data can be used in the assessment of future coastal change.</p>\n<p>The photographs provided here are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the configuration of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.</p>\n<p>Table 1 provides detailed information about the GPS location, image name, and date of each of the 1,111 photographs taken along with links to each photograph.</p>\n<p>In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds952","usgsCitation":"Morgan, K.L.M., 2015, Baseline coastal oblique aerial photographs collected from Navarre Beach, Florida, to Breton Island, Louisiana, September 1, 2014: U.S. Geological Survey Data Series 952, https://dx.doi.org/10.3133/ds952.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-09-01","ipdsId":"IP-065592","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307593,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0952/index.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Data Series 952"},{"id":307592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0952/coverthb.jpg"}],"country":"United States","state":"Alabama, Florida, Lousianna, Mississippi","otherGeospatial":"Navarre Beach, Breton Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.94305419921875,\n              30.484183951487754\n            ],\n            [\n              -86.91558837890625,\n              30.28041626667403\n            ],\n            [\n              -87.31109619140625,\n              30.090484220005344\n            ],\n            [\n              -88.40972900390625,\n              29.776297851831366\n            ],\n            [\n              -88.86016845703125,\n              29.547177213315784\n            ],\n            [\n              -89.09088134765625,\n              29.563901551414443\n            ],\n            [\n              -89.07989501953125,\n              29.702368038541767\n            ],\n            [\n              -89.0936279296875,\n              30.109493896732292\n            ],\n            [\n              -89.132080078125,\n              30.351546261929034\n            ],\n            [\n              -89.04144287109375,\n              30.43683404544223\n            ],\n            [\n              -88.83544921874999,\n              30.510216587229984\n            ],\n            [\n              -87.58575439453125,\n              30.500750980290693\n            ],\n            [\n              -87.03094482421875,\n              30.50311746839939\n            ],\n            [\n              -86.94305419921875,\n              30.484183951487754\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>St. Petersburg Coastal and Marine Science Center<br /> 600 4th Street South<br /> St. Petersburg, FL 33701<br /> (727) 502-8000<br /> <a href=\"http://coastal.er.usgs.gov/\">http://coastal.er.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Getting Started</li>\n<li>List of Figures</li>\n<li>References Cited</li>\n<li>Acknowledgments</li>\n<li>Information Statement</li>\n<li>System Requirements</li>\n</ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2015-08-31","noUsgsAuthors":false,"publicationDate":"2015-08-31","publicationStatus":"PW","scienceBaseUri":"560ba82be4b058f706e53a49","contributors":{"authors":[{"text":"Morgan, Karen L. M. kmorgan@usgs.gov","contributorId":146948,"corporation":false,"usgs":true,"family":"Morgan","given":"Karen L. M.","email":"kmorgan@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":569497,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156789,"text":"70156789 - 2015 - Carbon sequestration on Mars","interactions":[],"lastModifiedDate":"2015-10-05T15:57:26","indexId":"70156789","displayToPublicDate":"2015-08-31T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3877,"text":"Geology Today","active":true,"publicationSubtype":{"id":10}},"title":"Carbon sequestration on Mars","language":"English","publisher":"Geological Society of America","doi":"10.1130/G36983.1","usgsCitation":"Edwards, C.S., and Ehlmann, B.L., 2015, Carbon sequestration on Mars: Geology Today, v. 43, no. 10, p. 863-866, https://doi.org/10.1130/G36983.1.","productDescription":"4 p.","startPage":"863","endPage":"866","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062758","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":471845,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20150827-175842753","text":"External Repository"},{"id":307726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"43","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-21","publicationStatus":"PW","scienceBaseUri":"55e56ca1e4b05561fa208667","contributors":{"authors":[{"text":"Edwards, Christopher S. cedwards@usgs.gov","contributorId":147153,"corporation":false,"usgs":true,"family":"Edwards","given":"Christopher","email":"cedwards@usgs.gov","middleInitial":"S.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":570548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ehlmann, Bethany L. 0000-0002-2745-3240","orcid":"https://orcid.org/0000-0002-2745-3240","contributorId":147154,"corporation":false,"usgs":false,"family":"Ehlmann","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":570549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70103210,"text":"70103210 - 2015 - Volcano monitoring from space","interactions":[],"lastModifiedDate":"2020-07-30T15:53:51.652652","indexId":"70103210","displayToPublicDate":"2015-08-31T10:53:07","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Volcano monitoring from space","docAbstract":"Unlike many natural hazards, volcanoes usually give warnings of impending eruptions that can be detected from hours to years prior to any hazardous activity [Sparks et al., 2012].  The Eyjafjallajökull eruption, for example, was preceded by several discrete episodes of subsurface magma accumulation that highlighted the potential for future eruption.  Once it begins, an eruption can last for up to decades, during which time the changing conditions of associated hazards—like ash plumes and lava flows—must be continuously assessed.  Unfortunately, the resources and infrastructure needed to conduct ground-based monitoring of a volcano—especially those located in remote areas of Earth that might still have the potential to impact air traffic, like in the north Pacific—are extreme, and less than 10% of the world’s volcanoes are monitored in any systematic way.  Space-based methods offer a means of bridging this monitoring gap.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Global Volcanic Hazards and Risk","largerWorkSubtype":{"id":15,"text":"Monograph"},"doi":"10.1017/CBO9781316276273.019","usgsCitation":"Poland, M., 2015, Volcano monitoring from space, chap. <i>of</i> Global Volcanic Hazards and Risk, p. 311-316, https://doi.org/10.1017/CBO9781316276273.019.","productDescription":"6 p.","startPage":"311","endPage":"316","ipdsId":"IP-056098","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":376904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":518799,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159976,"text":"70159976 - 2015 - Modeling the complex impacts of timber harvests to find optimal management regimes for Amazon tidal floodplain forests","interactions":[],"lastModifiedDate":"2018-01-05T12:27:06","indexId":"70159976","displayToPublicDate":"2015-08-31T02:30:00","publicationYear":"2015","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":"Modeling the complex impacts of timber harvests to find optimal management regimes for Amazon tidal floodplain forests","docAbstract":"<p><span>At the Amazon estuary, the oldest logging frontier in the Amazon, no studies have comprehensively explored the potential long-term population and yield consequences of multiple timber harvests over time. Matrix population modeling is one way to simulate long-term impacts of tree harvests, but this approach has often ignored common impacts of tree harvests including incidental damage, changes in post-harvest demography, shifts in the distribution of merchantable trees, and shifts in stand composition. We designed a matrix-based forest management model that incorporates these harvest-related impacts so resulting simulations reflect forest stand dynamics under repeated timber harvests as well as the realities of local smallholder timber management systems. Using a wide range of values for management criteria (e.g., length of cutting cycle, minimum cut diameter), we projected the long-term population dynamics and yields of hundreds of timber management regimes in the Amazon estuary, where small-scale, unmechanized logging is an important economic activity. These results were then compared to find optimal stand-level and species-specific sustainable timber management (STM) regimes using a set of timber yield and population growth indicators. Prospects for STM in Amazonian tidal floodplain forests are better than for many other tropical forests. However, generally high stock recovery rates between harvests are due to the comparatively high projected mean annualized yields from fast-growing species that effectively counterbalance the projected yield declines from other species. For Amazonian tidal floodplain forests, national management guidelines provide neither the highest yields nor the highest sustained population growth for species under management. Our research shows that management guidelines specific to a region&rsquo;s ecological settings can be further refined to consider differences in species demographic responses to repeated harvests. In principle, such fine-tuned management guidelines could make management more attractive, thus bridging the currently prevalent gap between tropical timber management practice and regulation.</span></p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0136740","usgsCitation":"Fortini, L.B., Cropper, W.P., and Zarin, D.J., 2015, Modeling the complex impacts of timber harvests to find optimal management regimes for Amazon tidal floodplain forests: PLoS ONE, v. 10, no. 8, p. 1-17, https://doi.org/10.1371/journal.pone.0136740.","productDescription":"e0136740; 17 p.","startPage":"1","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066968","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":471846,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0136740","text":"Publisher Index Page"},{"id":312008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Amazon River, Mazagão watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -51.6,\n              -0.5\n            ],\n            [\n              -51.6,\n              -0.4  \n            ],\n            [\n              -51.5,\n             -0.4  \n            ],\n            [\n              -51.5,\n              -0.5\n            ],\n            [\n              -51.6,\n              -0.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-31","publicationStatus":"PW","scienceBaseUri":"5666bbe6e4b06a3ea36c8b3a","contributors":{"authors":[{"text":"Fortini, Lucas B. 0000-0002-5781-7295 lfortini@usgs.gov","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":4645,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas","email":"lfortini@usgs.gov","middleInitial":"B.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":581403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cropper, Wendell P.","contributorId":150362,"corporation":false,"usgs":false,"family":"Cropper","given":"Wendell","email":"","middleInitial":"P.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":581404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zarin, Daniel J.","contributorId":150363,"corporation":false,"usgs":false,"family":"Zarin","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":18011,"text":"Climate and Land Use Alliance","active":true,"usgs":false}],"preferred":false,"id":581405,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70157344,"text":"70157344 - 2015 - Late Pleistocene ages for the most recent volcanism and glacial-pluvial deposits at Big Pine volcanic field, California, USA, from cosmogenic <sup>36</sup>Cl dating","interactions":[],"lastModifiedDate":"2015-09-23T11:39:58","indexId":"70157344","displayToPublicDate":"2015-08-30T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Late Pleistocene ages for the most recent volcanism and glacial-pluvial deposits at Big Pine volcanic field, California, USA, from cosmogenic <sup>36</sup>Cl dating","docAbstract":"<p><span>The Big Pine volcanic field is one of several Quaternary volcanic fields that poses a potential volcanic hazard along the tectonically active Owens Valley of east-central California, and whose lavas are interbedded with deposits from Pleistocene glaciations in the Sierra Nevada Range. Previous geochronology indicates an &sim;1.2 Ma history of volcanism, but the eruption ages and distribution of volcanic products associated with the most-recent eruptions have been poorly resolved. To delimit the timing and products of the youngest volcanism, we combine field mapping and cosmogenic&nbsp;</span><span>36</span><span>Cl dating of basaltic lava flows in the area where lavas with youthful morphology and well-preserved flow structures are concentrated. Field mapping and petrology reveal approximately 15 vents and 6 principal flow units with variable geochemical composition and mineralogy. Cosmogenic&nbsp;</span><span>36</span><span>Cl exposure ages for lava flow units from the top, middle, and bottom of the volcanic stratigraphy indicate eruptions at &sim;17, 27, and 40 ka, revealing several different and previously unrecognized episodes of late Pleistocene volcanism. Olivine to plagioclase-pyroxene phyric basalt erupted from several vents during the most recent episode of volcanism at &sim;17 ka, and produced a lava flow field covering &sim;35 km</span><span>2</span><span>. The late Pleistocene&nbsp;</span><span>36</span><span>Cl exposure ages indicate that moraine and pluvial shoreline deposits that overlie or modify the youngest Big Pine lavas reflect Tioga stage glaciation in the Sierra Nevada and the shore of paleo-Owens Lake during the last glacial cycle.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015GC005889","usgsCitation":"Vazquez, J.A., and Woolford, J.M., 2015, Late Pleistocene ages for the most recent volcanism and glacial-pluvial deposits at Big Pine volcanic field, California, USA, from cosmogenic <sup>36</sup>Cl dating: Geochemistry, Geophysics, Geosystems, v. 16, p. 1-17, https://doi.org/10.1002/2015GC005889.","productDescription":"17 p.","startPage":"1","endPage":"17","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063301","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471847,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gc005889","text":"Publisher Index Page"},{"id":308442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-30","publicationStatus":"PW","scienceBaseUri":"5603cd4ae4b03bc34f544b1c","chorus":{"doi":"10.1002/2015gc005889","url":"http://dx.doi.org/10.1002/2015gc005889","publisher":"Wiley-Blackwell","authors":"Vazquez J. A., Woolford J. M.","journalName":"Geochemistry, Geophysics, Geosystems","publicationDate":"8/30/2015","auditedOn":"10/14/2015"},"contributors":{"authors":[{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":572760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woolford, Jeff M","contributorId":147805,"corporation":false,"usgs":false,"family":"Woolford","given":"Jeff","email":"","middleInitial":"M","affiliations":[{"id":16939,"text":"California State University - Northridge","active":true,"usgs":false}],"preferred":false,"id":572762,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70157351,"text":"70157351 - 2015 - Controls on the breach geometry and flood hydrograph during overtopping of non-cohesive earthen dams","interactions":[],"lastModifiedDate":"2015-09-21T15:13:26","indexId":"70157351","displayToPublicDate":"2015-08-30T00:00:00","publicationYear":"2015","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":"Controls on the breach geometry and flood hydrograph during overtopping of non-cohesive earthen dams","docAbstract":"<p>Overtopping failure of non-cohesive earthen dams was investigated in 13 large-scale experiments with dams built of compacted, damp, fine-grained sand. Breaching was initiated by cutting a notch across the dam crest and allowing water escaping from a finite upstream reservoir to form its own channel. The channel developed a stepped profile, and upstream migration of the steps, which coalesced into a headcut, led to the establishment of hydraulic control (critical flow) at the channel head, or breach crest, an arcuate erosional feature that functions hydraulically as a weir. Novel photogrammetric methods, along with underwater videography, revealed that the retreating headcut maintained a slope near the angle of friction of the sand, while the cross section at the breach crest maintained a geometrically similar shape through time. That cross-sectional shape was nearly unaffected by slope failures, contrary to the assumption in many models of dam breaching. Flood hydrographs were quite reproducible--for sets of dams ranging in height from 0.55 m to 0.98 m--when the time datum was chosen as the time that the migrating headcut intersected the breach crest. Peak discharge increased almost linearly as a function of initial dam height. Early-time variability between flood hydrographs for nominally identical dams is probably a reflection of subtle experiment-to-experiment differences in groundwater hydrology and the interaction between surface water and groundwater.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014WR016620","usgsCitation":"Walder, J.S., Iverson, R.M., Godt, J.W., Logan, M., and Solovitz, S.A., 2015, Controls on the breach geometry and flood hydrograph during overtopping of non-cohesive earthen dams: Water Resources Research, v. 51, no. 8, p. 6701-6724, https://doi.org/10.1002/2014WR016620.","productDescription":"24 p.","startPage":"6701","endPage":"6724","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060938","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":308321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-30","publicationStatus":"PW","scienceBaseUri":"56012a3ce4b03bc34f5443f3","chorus":{"doi":"10.1002/2014wr016620","url":"http://dx.doi.org/10.1002/2014wr016620","publisher":"Wiley-Blackwell","authors":"Walder Joseph S., Iverson Richard M., Godt Jonathan W., Logan Matthew, Solovitz Stephen A.","journalName":"Water Resources Research","publicationDate":"8/2015","auditedOn":"10/1/2015"},"contributors":{"authors":[{"text":"Walder, Joseph S. jswalder@usgs.gov","contributorId":2046,"corporation":false,"usgs":true,"family":"Walder","given":"Joseph","email":"jswalder@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":572808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":572809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":572810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logan, Matthew 0000-0002-3558-2405 mlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-2405","contributorId":638,"corporation":false,"usgs":true,"family":"Logan","given":"Matthew","email":"mlogan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":572811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solovitz, Stephen A.","contributorId":21434,"corporation":false,"usgs":true,"family":"Solovitz","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":572812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148363,"text":"70148363 - 2015 - Predicting watershed post-fire sediment yield with the InVEST sediment retention model: Accuracy and uncertainties","interactions":[],"lastModifiedDate":"2022-02-07T18:09:46.569795","indexId":"70148363","displayToPublicDate":"2015-08-29T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Predicting watershed post-fire sediment yield with the InVEST sediment retention model: Accuracy and uncertainties","docAbstract":"<p>Increased sedimentation following wildland fire can negatively impact water supply and water quality. Understanding how changing fire frequency, extent, and location will affect watersheds and the ecosystem services they supply to communities is of great societal importance in the western USA and throughout the world. In this work we assess the utility of the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) Sediment Retention Model to accurately characterize erosion and sedimentation of burned watersheds. InVEST was developed by the Natural Capital Project at Stanford University (Tallis et al., 2014) and is a suite of GIS-based implementations of common process models, engineered for high-end computing to allow the faster simulation of larger landscapes and incorporation into decision-making. The InVEST Sediment Retention Model is based on common soil erosion models (e.g., USLE – Universal Soil Loss Equation) and determines which areas of the landscape contribute the greatest sediment loads to a hydrological network and conversely evaluate the ecosystem service of sediment retention on a watershed basis. In this study, we evaluate the accuracy and uncertainties for InVEST predictions of increased sedimentation after fire, using measured postfire sediment yields available for many watersheds throughout the western USA from an existing, published large database. We show that the model can be parameterized in a relatively simple fashion to predict post-fire sediment yield with accuracy. Our ultimate goal is to use the model to accurately predict variability in post-fire sediment yield at a watershed scale as a function of future wildfire conditions.</p>","conferenceTitle":"3rd Joint Federal Interagency Conference","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Sankey, J.B., McVay, J., Kreitler, J.R., Hawbaker, T., Vaillant, N., and Lowe, S., 2015, Predicting watershed post-fire sediment yield with the InVEST sediment retention model: Accuracy and uncertainties, 3rd Joint Federal Interagency Conference, Reno, NV, April 19-23, 2015, p. 987-998.","productDescription":"12 p.","startPage":"987","endPage":"998","ipdsId":"IP-061071","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":342116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395555,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/Proceedings.pdf","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59366daae4b0f6c2d0d7d630","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":547853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McVay, Jason","contributorId":274867,"corporation":false,"usgs":false,"family":"McVay","given":"Jason","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":547854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":547855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":547856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vaillant, Nicole","contributorId":140987,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","affiliations":[{"id":13638,"text":"Western Wildland environmental threat assessment Center","active":true,"usgs":false}],"preferred":false,"id":547857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowe, Scott bslowe@usgs.gov","contributorId":3299,"corporation":false,"usgs":true,"family":"Lowe","given":"Scott","email":"bslowe@usgs.gov","affiliations":[],"preferred":true,"id":547858,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70155950,"text":"ofr20151146 - 2015 - Summary of oceanographic measurements for characterizing light attenuation and sediment resuspension in the Barnegat Bay-Little Egg Harbor Estuary, New Jersey, 2013","interactions":[],"lastModifiedDate":"2015-08-31T09:56:10","indexId":"ofr20151146","displayToPublicDate":"2015-08-28T13:45:00","publicationYear":"2015","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":"2015-1146","title":"Summary of oceanographic measurements for characterizing light attenuation and sediment resuspension in the Barnegat Bay-Little Egg Harbor Estuary, New Jersey, 2013","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the New Jersey Department of Environmental Protection, measured suspended-sediment concentrations, currents, waves, light attenuation, and a variety of other water-quality parameters in the summer of 2013 in Barnegat Bay-Little Egg Harbor, New Jersey. These measurements quantified light attenuation and sediment resuspension in three seagrass meadows. Data were acquired sequentially at three paired channel-shoal sites, as the equipment was moved from south to north in the estuary. Data were collected for approximately 3 weeks at each site.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151146","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Dickhudt, P.J., Ganju, N.K, and Montgomery, E.T., 2015, Summary of oceanographic measurements for characterizing light attenuation and sediment resuspension in the Barnegat Bay-Little Egg Harbor estuary, New Jersey, 2013: U.S. Geological Survey Open-File Report 2015–1146, 18 p., https://dx.doi.org/10.3133/ofr20151146.","productDescription":"Report: vi, 18 p.; Dataset","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065792","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science 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,{"id":70168410,"text":"70168410 - 2015 - Age-related mortality explains life history strategies of tropical and temperate songbirds","interactions":[],"lastModifiedDate":"2016-02-12T12:34:13","indexId":"70168410","displayToPublicDate":"2015-08-28T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Age-related mortality explains life history strategies of tropical and temperate songbirds","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"New York","doi":"10.1126/science.aad1173","usgsCitation":"Martin, T.E., 2015, Age-related mortality explains life history strategies of tropical and temperate songbirds: Science, v. 349, no. 6251, p. 966-970, https://doi.org/10.1126/science.aad1173.","productDescription":"5 p.","startPage":"966","endPage":"970","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065404","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":317986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"349","issue":"6251","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bf1041e4b06458514b68cc","contributors":{"authors":[{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619976,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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