{"pageNumber":"1221","pageRowStart":"30500","pageSize":"25","recordCount":184876,"records":[{"id":70159916,"text":"70159916 - 2015 - Characterization of a novel hepadnavirus in the white sucker (Catostomus commersonii) from the Great Lakes Region of the USA","interactions":[],"lastModifiedDate":"2018-08-09T12:42:52","indexId":"70159916","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2497,"text":"Journal of Virology","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of a novel hepadnavirus in the white sucker (Catostomus commersonii) from the Great Lakes Region of the USA","docAbstract":"The white sucker Catostomus commersonii is a freshwater teleost often utilized as a resident sentinel. Here, we sequenced the full genome of a hepatitis B-like virus that infects white suckers from the Great Lakes Region of the USA. Dideoxysequencing confirmed the white sucker hepatitis B virus (WSHBV) has a circular genome (3542 bp) with the prototypical codon organization of hepadnaviruses. Electron microscopy demonstrated that complete virions of approximately 40 nm were present in the plasma of infected fish. Compared to avi- and orthohepadnaviruses, sequence conservation of the core, polymerase and surface proteins was low and ranged from 16-27% at the amino acid level. An X protein homologue common to the orthohepadnaviruses was not present. The WSHBV genome included an atypical, presumptively non-coding region absent in previously described hepadnaviruses. Phylogenetic analyses confirmed WSHBV as distinct from previously documented hepadnaviruses. The level of divergence in protein sequences between WSHBV other hepadnaviruses, and the identification of an HBV-like sequence in an African cichlid provide evidence that a novel genus of the family Hepadnaviridae may need to be established that includes these hepatitis B-like viruses in fishes. Viral transcription was observed in 9.5% (16 of 169) of white suckers evaluated. The prevalence of hepatic tumors in these fish was 4.9%, of which only 2.4% were positive for both virus and hepatic tumors. These results are not sufficient to draw inferences regarding the association of WSHBV and carcinogenesis in white sucker.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JVI.01278-15","usgsCitation":"Hahn, C.M., Iwanowicz, L., Cornman, R.S., Conway, C.M., Winton, J., and Blazer, V., 2015, Characterization of a novel hepadnavirus in the white sucker (Catostomus commersonii) from the Great Lakes Region of the USA: Journal of Virology, v. 89, no. 23, p. 11801-11811, https://doi.org/10.1128/JVI.01278-15.","productDescription":"11 p.","startPage":"11801","endPage":"11811","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065136","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":471827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jvi.01278-15","text":"Publisher Index Page"},{"id":311872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.55957031249999,\n 41.0130657870063\n ],\n [\n -93.55957031249999,\n 49.1242192485914\n ],\n [\n -75.2783203125,\n 49.1242192485914\n ],\n [\n -75.2783203125,\n 41.0130657870063\n ],\n [\n -93.55957031249999,\n 41.0130657870063\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"89","issue":"23","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566175c5e4b06a3ea36c5684","contributors":{"authors":[{"text":"Hahn, Cassidy M. cmhahn@usgs.gov","contributorId":5321,"corporation":false,"usgs":true,"family":"Hahn","given":"Cassidy","email":"cmhahn@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":581033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. liwanowicz@usgs.gov","contributorId":148350,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":581032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":581035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conway, Carla M. 0000-0002-3851-3616 cmconway@usgs.gov","orcid":"https://orcid.org/0000-0002-3851-3616","contributorId":2946,"corporation":false,"usgs":true,"family":"Conway","given":"Carla","email":"cmconway@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":581036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winton, James R. jwinton@usgs.gov","contributorId":150220,"corporation":false,"usgs":true,"family":"Winton","given":"James R.","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":581037,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":149414,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":581034,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70162015,"text":"70162015 - 2015 - Upgrade of the New China Digital Seismograph Network","interactions":[],"lastModifiedDate":"2016-01-13T09:54:03","indexId":"70162015","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Upgrade of the New China Digital Seismograph Network","docAbstract":"No abstract available.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140182","usgsCitation":"Anderson, D., Anderson, J., Ford, D., Gee, L.S., Gyure, G., Hutt, C.R., Kromer, E., Marshall, B., Persefield, K., Ringler, A.T., Sharratt, M., Storm, T., Wilson, D.C., Yang, D., and Zheng, Z., 2015, Upgrade of the New China Digital Seismograph Network: Seismological Research Letters, v. 86, no. 5, p. 1364-1373, https://doi.org/10.1785/0220140182.","productDescription":"10 p.","startPage":"1364","endPage":"1373","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066237","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":314261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver 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,{"id":70159433,"text":"70159433 - 2015 - Spring plant phenology and false springs in the conterminous US during the 21st century","interactions":[],"lastModifiedDate":"2016-06-29T13:18:39","indexId":"70159433","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":"Spring plant phenology and false springs in the conterminous US during the 21st century","docAbstract":"The onset of spring plant growth has shifted earlier in the year over the past several decades due to rising global temperatures. Earlier spring onset may cause phenological mismatches between the availability of plant resources and dependent animals, and potentially lead to more false springs, when subsequent freezing temperatures damage new plant growth. We used the extended spring indices to project changes in spring onset, defined by leaf out and by first bloom, and predicted false springs until 2100 in the conterminous United States (US) using statistically-downscaled climate projections from the Coupled Model Intercomparison Project 5 ensemble. Averaged over our study region, the median shift in spring onset was 23 days earlier in the Representative Concentration Pathway 8.5 scenario with particularly large shifts in the Western US and the Great Plains. Spatial variation in phenology was due to the influence of short-term temperature changes around the time of spring onset versus season long accumulation of warm temperatures. False spring risk increased in the Great Plains and portions of the Midwest, but remained constant or decreased elsewhere. We conclude that global climate change may have complex and spatially variable effects on spring onset and false springs, making local predictions of change difficult.
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,{"id":70186943,"text":"70186943 - 2015 - Magma extrusion during the Ubinas 2013–2014 eruptive crisis based on satellite thermal imaging (MIROVA) and ground-based monitoring","interactions":[],"lastModifiedDate":"2017-04-14T15:54:28","indexId":"70186943","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Magma extrusion during the Ubinas 2013–2014 eruptive crisis based on satellite thermal imaging (MIROVA) and ground-based monitoring","docAbstract":"After 3 years of mild gases emissions, the Ubinas volcano entered in a new eruptive phase on September 2nd, 2013. The MIROVA system (a space-based volcanic hot-spot detection system), allowed us to detect in near real time the thermal emissions associated with the eruption and provided early evidence of magma extrusion within the deep summit crater. By combining IR data with plume height, sulfur emissions, hot spring temperatures and seismic activity, we interpret the thermal output detected over Ubinas in terms of extrusion rates associated to the eruption. We suggest that the 2013–2014 eruptive crisis can be subdivided into three main phases: (i) shallow magma intrusion inside the edifice, (ii) extrusion and growing of a lava plug at the bottom of the summit crater coupled with increasing explosive activity and finally, (iii) disruption of the lava plug and gradual decline of the explosive activity. The occurrence of the 8.2 Mw Iquique (Chile) earthquake (365 km away from Ubinas) on April 1st, 2014, may have perturbed most of the analyzed parameters, suggesting a prompt interaction with the ongoing volcanic activity. In particular, the analysis of thermal and seismic datasets shows that the earthquake may have promoted the most intense thermal and explosive phase that culminated in a major explosion on April 19th, 2014.
These results reveal the efficiency of space-based thermal observations in detecting the extrusion of hot magma within deep volcanic craters and in tracking its evolution. We emphasize that, in combination with other geophysical and geochemical datasets, MIROVA is an essential tool for monitoring remote volcanoes with rather difficult accessibility, like those of the Andes that reach remarkably high altitudes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2015.07.005","usgsCitation":"Coppola, D., Macedo, O., Ramos, D., Finizola, A., Delle Donne, D., del Carpio, J., White, R.A., McCausland, W., Centeno, R., Rivera, M., Apaza, F., Ccallata, B., Chilo, W., Cigolini, C., Laiolo, M., Lazarte, I., Machaca, R., Masias, P., Ortega, M., Puma, N., and Taipe, E., 2015, Magma extrusion during the Ubinas 2013–2014 eruptive crisis based on satellite thermal imaging (MIROVA) and ground-based monitoring: Journal of Volcanology and Geothermal Research, v. 302, p. 199-210, https://doi.org/10.1016/j.jvolgeores.2015.07.005.","productDescription":"12 p.","startPage":"199","endPage":"210","ipdsId":"IP-065049","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471840,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.univ-reunion.fr/hal-01390796","text":"External 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,{"id":70186946,"text":"70186946 - 2015 - Heat flux from magmatic hydrothermal systems related to availability of fluid recharge","interactions":[],"lastModifiedDate":"2017-04-14T15:51:33","indexId":"70186946","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Heat flux from magmatic hydrothermal systems related to availability of fluid recharge","docAbstract":"Magmatic hydrothermal systems are of increasing interest as a renewable energy source. Surface heat flux indicates system resource potential, and can be inferred from soil CO2 flux measurements and fumarole gas chemistry. Here we compile and reanalyze results from previous CO2 flux surveys worldwide to compare heat flux from a variety of magma-hydrothermal areas. We infer that availability of water to recharge magmatic hydrothermal systems is correlated with heat flux. Recharge availability is in turn governed by permeability, structure, lithology, rainfall, topography, and perhaps unsurprisingly, proximity to a large supply of water such as the ocean. The relationship between recharge and heat flux interpreted by this study is consistent with recent numerical modeling that relates hydrothermal system heat output to rainfall catchment area. This result highlights the importance of recharge as a consideration when evaluating hydrothermal systems for electricity generation, and the utility of CO2 flux as a resource evaluation tool.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2015.07.003","usgsCitation":"Harvey, M., Rowland, J., Chiodini, G., Rissmann, C., Bloomberg, S., Hernandez, P., Mazot, A., Viveiros, F., and Werner, C.A., 2015, Heat flux from magmatic hydrothermal systems related to availability of fluid recharge: Journal of Volcanology and Geothermal Research, v. 302, p. 225-236, https://doi.org/10.1016/j.jvolgeores.2015.07.003.","productDescription":"12 p.","startPage":"225","endPage":"236","ipdsId":"IP-066187","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":339761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"302","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f1e0cae4b08144348b7e06","contributors":{"authors":[{"text":"Harvey, M. C.","contributorId":190955,"corporation":false,"usgs":false,"family":"Harvey","given":"M. C.","affiliations":[],"preferred":false,"id":691108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowland, J.V.","contributorId":190942,"corporation":false,"usgs":false,"family":"Rowland","given":"J.V.","email":"","affiliations":[],"preferred":false,"id":691109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chiodini, G.","contributorId":190943,"corporation":false,"usgs":false,"family":"Chiodini","given":"G.","affiliations":[],"preferred":false,"id":691110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rissmann, C.F.","contributorId":190944,"corporation":false,"usgs":false,"family":"Rissmann","given":"C.F.","email":"","affiliations":[],"preferred":false,"id":691111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bloomberg, S.","contributorId":190945,"corporation":false,"usgs":false,"family":"Bloomberg","given":"S.","email":"","affiliations":[],"preferred":false,"id":691112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hernandez, P.A.","contributorId":190946,"corporation":false,"usgs":false,"family":"Hernandez","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":691113,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazot, A.","contributorId":190947,"corporation":false,"usgs":false,"family":"Mazot","given":"A.","email":"","affiliations":[],"preferred":false,"id":691114,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Viveiros, F.","contributorId":190948,"corporation":false,"usgs":false,"family":"Viveiros","given":"F.","email":"","affiliations":[],"preferred":false,"id":691115,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Werner, Cynthia A. cwerner@usgs.gov","contributorId":2540,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","email":"cwerner@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":691107,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"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":70193691,"text":"70193691 - 2015 - A food web modeling analysis of a Midwestern, USA eutrophic lake dominated by non-native Common Carp and Zebra Mussels","interactions":[],"lastModifiedDate":"2017-11-13T11:43:14","indexId":"70193691","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"A food web modeling analysis of a Midwestern, USA eutrophic lake dominated by non-native Common Carp and Zebra Mussels","docAbstract":"Food web modeling is recognized as fundamental to understanding the complexities of aquatic systems. Ecopath is the most common mass-balance model used to represent food webs and quantify trophic interactions among groups. We constructed annual Ecopath models for four consecutive years during the first half-decade of a zebra mussel invasion in shallow, eutrophic Clear Lake, Iowa, USA, to evaluate changes in relative biomass and total system consumption among food web groups, evaluate food web impacts of non-native common carp and zebra mussels on food web groups, and to interpret food web impacts in light of on-going lake restoration. Total living biomass increased each year of the study; the majority of the increase due to a doubling in planktonic blue green algae, but several other taxa also increased including a more than two-order of magnitude increase in zebra mussels. Common carp accounted for the largest percentage of total fish biomass throughout the study even with on-going harvest. Chironomids, common carp, and zebra mussels were the top-three ranking consumer groups. Non-native common carp and zebra mussels accounted for an average of 42% of the total system consumption. Despite the relatively high biomass densities of common carp and zebra mussel, food web impacts was minimal due to excessive benthic and primary production in this eutrophic system. Consumption occurring via benthic pathways dominated system consumption in Clear Lake throughout our study, supporting the argument that benthic food webs are significant in shallow, eutrophic lake ecosystems and must be considered if ecosystem-level understanding is to be obtained.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2015.05.016","usgsCitation":"Colvin, M., Pierce, C., and Stewart, T.W., 2015, A food web modeling analysis of a Midwestern, USA eutrophic lake dominated by non-native Common Carp and Zebra Mussels: Ecological Modelling, v. 312, p. 26-40, https://doi.org/10.1016/j.ecolmodel.2015.05.016.","productDescription":"15 p.","startPage":"26","endPage":"40","ipdsId":"IP-040716","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471825,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/139","text":"External Repository"},{"id":348687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Clear Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.51390838623047,\n 43.106748182603205\n ],\n [\n -93.37657928466797,\n 43.106748182603205\n ],\n [\n -93.37657928466797,\n 43.14433468958596\n ],\n [\n -93.51390838623047,\n 43.14433468958596\n ],\n [\n -93.51390838623047,\n 43.106748182603205\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"312","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe67e4b06e28e9c252f5","contributors":{"authors":[{"text":"Colvin, Michael E.","contributorId":140975,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":721780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Timothy W.","contributorId":171433,"corporation":false,"usgs":false,"family":"Stewart","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":721781,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":"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 2005–2010 were, on average, 1.7 Tg CH4 yr−1 higher compared to 1981–1990 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.
","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":70191146,"text":"70191146 - 2015 - Amphibole reaction rims as a record of pre-eruptive magmatic heating: An experimental approach","interactions":[],"lastModifiedDate":"2017-09-27T17:02:15","indexId":"70191146","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Amphibole reaction rims as a record of pre-eruptive magmatic heating: An experimental approach","docAbstract":"Magmatic minerals record the pre-eruptive timescales of magma ascent and mixing in crustal reservoirs and conduits. Investigations of the mineral records of magmatic processes are fundamental to our understanding of what controls eruption style, as ascent rates and magma mixing processes are well known to control and/or trigger potentially hazardous explosive eruptions. Thus, amphibole reaction rims are often used to infer pre-eruptive magma dynamics, and in particular to estimate magma ascent rates. However, while several experimental studies have investigated amphibole destabilization during decompression, only two investigated thermal destabilization relevant to magma mixing processes. This study examines amphibole decomposition experimentally through isobaric heating of magnesio-hornblende phenocrysts within a natural high-silica andesite glass. The experiments first equilibrated for 24 h at 870 °C and 140 MPa at H2O-saturated conditions and ƒO2 ∼ Re–ReO prior to rapid heating to 880, 900, or 920 °C and hold times of 3–48 h. At 920 °C, rim thicknesses increased from 17 μm after 3 h, to 55 μm after 12 h, and became pseudomorphs after longer durations. At 900 °C, rim thicknesses increased from 7 μm after 3 h, to 80 μm after 24 h, to pseudomorphs after longer durations. At 880 °C, rim thicknesses increased from 7 μm after 3 h, to 18 μm after 36 h, to pseudomorphs after 48 h. Reaction rim microlites vary from 5–16 μm in size, with no systematic relationship between crystal size and the duration or magnitude of heating. Time-averaged rim microlite growth rates decrease steadily with increasing experimental duration (from ![\"View](\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si1.gif\" "\\"View")
to 3.1 to ![\"View](\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si2.gif\" "\\"View")
). Time-averaged microlite nucleation rates also decrease with increasing experimental duration (from ![\"View](\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si3.gif\" "\\"View")
to 5.3 mm−3 s−1). There is no systematic relationship between time-averaged growth or nucleation rates and the magnitude of the heating step. Ortho- and clinopyroxene together constitute 57–90 modal % mineralogy in each reaction rim. At constant temperature, clinopyroxene abundances decrease with increasing experimental duration, from 72 modal % (3 h at 900 °C) to 0% (48 h at 880 °C, and 36 h at 900 and 920 °C). Fe–Ti oxides increase from 6–12 modal % (after 3–6 h) to 26–34 modal % (after 36–48 h). Plagioclase occurs in relatively minor amounts (<1–11 modal %), with anorthite contents that increase from An56 to An88 from 3 to 36 h of heating. Distal glass compositions (>500 μm from reacted amphibole) are consistent with inter-microlite rim glasses (71.3–77.7 wt.% SiO2) within a given experiment and there is a weakly positive correlation between increasing run duration and inter-microlite melt SiO2 (68.9–78.5 wt.%). Our results indicate that experimental heating-induced amphibole reaction rims have thicknesses, textures, and mineralogies consistent with many of the natural reaction rims seen at arc-andesite volcanoes. They are also texturally consistent with experimental decompression reaction rims. On this basis it may be challenging to distinguish between decompression and heating mechanisms in nature.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2015.06.051","usgsCitation":"De Angelis, S.H., Larsen, J., Coombs, M.L., Dunn, A., and Hayden, L.A., 2015, Amphibole reaction rims as a record of pre-eruptive magmatic heating: An experimental approach: Earth and Planetary Science Letters, v. 426, p. 235-245, https://doi.org/10.1016/j.epsl.2015.06.051.","productDescription":"11 p.","startPage":"235","endPage":"245","ipdsId":"IP-051815","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2015.06.051","text":"Publisher Index Page"},{"id":346142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"426","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ccb8a6e4b017cf314383e2","contributors":{"authors":[{"text":"De Angelis, S. H.","contributorId":196732,"corporation":false,"usgs":false,"family":"De Angelis","given":"S.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":711354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, J.","contributorId":74544,"corporation":false,"usgs":true,"family":"Larsen","given":"J.","affiliations":[],"preferred":false,"id":711355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":711356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunn, A.","contributorId":196733,"corporation":false,"usgs":false,"family":"Dunn","given":"A.","affiliations":[],"preferred":false,"id":711357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayden, Leslie A. lhayden@usgs.gov","contributorId":5926,"corporation":false,"usgs":true,"family":"Hayden","given":"Leslie","email":"lhayden@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":711358,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"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":"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.
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.
","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":70148613,"text":"70148613 - 2015 - Wetland occupancy of pond-breeding amphibians in Yosemite National Park, USA","interactions":[],"lastModifiedDate":"2015-09-16T09:49:22","indexId":"70148613","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3895,"text":"Journal of North American Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Wetland occupancy of pond-breeding amphibians in Yosemite National Park, USA","docAbstract":"We estimated wetland occupancy and population trends for three species of pond-breeding anurans in Yosemite National Park from 2007-2011. We used a double survey technique in which two observers independently surveyed each site on the same day. Double surveys allowed us to calculate detectability for the three most common anurans within the park: Rana sierrae, Anaxyrus canorus, and Pseudacris regilla. Annual estimates of detectability were generally high; mean detectability ranged from 73.7% + 0.6 (SE) for any life history stage of A. canorus to 86.7% + 0.7 for sites with P. regilla reproduction (eggs or larvae present). Detectability was most variable for Anaxyrus canorus, which ranged from 45.9% to 99.7%. The probability of occupancy for R. sierrae was highest in larger, low-elevation wetlands that lacked fish. Anaxyrus canorus were more common in shallow high-elevation ponds; their occurrence was minimally impacted by the presence of fish. Finally, occurrence of P. regilla was largely unrelated to wetland size and elevation, but like R. sierrae, they were less likely to occupy sites with fi sh. Occupancy showed no trend over the five years of our study for R. sierrae or A. canorus when considering either sites with any life stage or only sites with reproduction. However, P. regilla showed a modest downward trend for sites with any life stage and sites with reproduction. Our results for R. sierrae run counter to expectations given recent concern about the decline of this species, while our findings for P. regilla raise concerns for this widespread and generally common species.
","language":"English","publisher":"The Center for North American Herpetology","usgsCitation":"Fellers, G.M., Kleeman, P.M., and Miller, D., 2015, Wetland occupancy of pond-breeding amphibians in Yosemite National Park, USA: Journal of North American Herpetology, v. 2015, no. 1, p. 22-33.","productDescription":"12 p","startPage":"22","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-059719","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":308163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305748,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://jnah.cnah.org/default.aspx","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.66583251953124,\n 37.41270958119496\n ],\n [\n -119.80590820312499,\n 37.66860332433055\n ],\n [\n -119.89929199218749,\n 37.808698976006795\n ],\n [\n -119.94529724121092,\n 38.129155479572624\n ],\n [\n -119.46258544921874,\n 38.13779704369439\n ],\n [\n -119.25796508789061,\n 37.938782346134396\n ],\n [\n -119.14810180664061,\n 37.74465712069939\n ],\n [\n -119.13162231445311,\n 37.54131068652799\n ],\n [\n -119.26895141601562,\n 37.42361656106772\n ],\n [\n -119.66583251953124,\n 37.41270958119496\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2015","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fa92d8e4b05d6c4e501aee","contributors":{"authors":[{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David A.W.","contributorId":19423,"corporation":false,"usgs":true,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":548888,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173529,"text":"70173529 - 2015 - Developing nondestructive techniques for managing conflicts between fisheries and double-crested cormorant colonies","interactions":[],"lastModifiedDate":"2016-06-20T13:26:55","indexId":"70173529","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Developing nondestructive techniques for managing conflicts between fisheries and double-crested cormorant colonies","docAbstract":"Double-crested cormorants (Phalacrocorax auritus) have been identified as the source of significant mortality to juvenile salmonids (Oncorhynchus spp.) in the Columbia River Basin. Management plans for reducing the size of a large colony on East Sand Island (OR, USA) in the Columbia River estuary are currently being developed. We evaluated habitat enhancement and social attraction as nondestructive techniques for managing cormorant nesting colonies during 2004–2007. We tested these techniques on unoccupied plots adjacent to the East Sand Island cormorant colony. Cormorants quickly colonized these plots and successfully raised young. Cormorants also were attracted to nest and raised young on similar plots at 2 islands approximately 25 km from East Sand Island; 1 island had a history of successful cormorant nesting whereas the other was a site where cormorants had previously nested unsuccessfully. On a third island with no history of cormorant nesting or nesting attempts, these techniques were unsuccessful at attracting cormorants to nest. Our results suggest that some important factors influencing attraction of nesting cormorants using these techniques include history of cormorant nesting, disturbance, and presence of breeding cormorants nearby. These techniques may be effective in redistributing nesting cormorants away from areas where fish stocks of conservation concern are susceptible to predation, especially if sites with a recent history of cormorant nesting are available within their foraging or dispersal range. Published 2015. Wiley Periodicals, Inc. This article is a US Government work and, as such, is in the public domain in the United States of America.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/wsb.595","usgsCitation":"Suzuki, Y., Roby, D.D., Lyons, D., Courtot, K., and Collis, K., 2015, Developing nondestructive techniques for managing conflicts between fisheries and double-crested cormorant colonies: Wildlife Society Bulletin, v. 39, no. 4, p. 764-771, https://doi.org/10.1002/wsb.595.","productDescription":"8 p.","startPage":"764","endPage":"771","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059208","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500059,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/b1fcdd4886fb4856ac8cebfc8fdc549e","text":"External Repository"},{"id":324007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.09263610839842,\n 46.31563567841108\n ],\n [\n -124.09057617187499,\n 46.263442671779885\n ],\n [\n -123.96286010742188,\n 46.112753709120874\n ],\n [\n -123.52958679199217,\n 46.197418556693115\n ],\n [\n -123.53713989257812,\n 46.231153027822046\n ],\n [\n -123.47946166992188,\n 46.214525948735094\n ],\n [\n -123.46366882324219,\n 46.272936008641494\n ],\n [\n -124.09263610839842,\n 46.31563567841108\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-15","publicationStatus":"PW","scienceBaseUri":"576913b5e4b07657d19ff00a","contributors":{"authors":[{"text":"Suzuki, Yasuko","contributorId":172179,"corporation":false,"usgs":false,"family":"Suzuki","given":"Yasuko","email":"","affiliations":[],"preferred":false,"id":639345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roby, Daniel D. 0000-0001-9844-0992 droby@usgs.gov","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":3702,"corporation":false,"usgs":true,"family":"Roby","given":"Daniel","email":"droby@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, Donald E.","contributorId":20119,"corporation":false,"usgs":true,"family":"Lyons","given":"Donald E.","affiliations":[],"preferred":false,"id":639346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courtot, Karen 0000-0002-8849-4054 kcourtot@usgs.gov","orcid":"https://orcid.org/0000-0002-8849-4054","contributorId":140002,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen","email":"kcourtot@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":639347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collis, Ken","contributorId":149991,"corporation":false,"usgs":false,"family":"Collis","given":"Ken","email":"","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":639348,"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":"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.
","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":70174875,"text":"70174875 - 2015 - Model averaging and muddled multimodel inferences","interactions":[],"lastModifiedDate":"2017-05-04T10:07:30","indexId":"70174875","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Model averaging and muddled multimodel inferences","docAbstract":"Three flawed practices associated with model averaging coefficients for predictor variables in regression models commonly occur when making multimodel inferences in analyses of ecological data. Model-averaged regression coefficients based on Akaike information criterion (AIC) weights have been recommended for addressing model uncertainty but they are not valid, interpretable estimates of partial effects for individual predictors when there is multicollinearity among the predictor variables. Multicollinearity implies that the scaling of units in the denominators of the regression coefficients may change across models such that neither the parameters nor their estimates have common scales, therefore averaging them makes no sense. The associated sums of AIC model weights recommended to assess relative importance of individual predictors are really a measure of relative importance of models, with little information about contributions by individual predictors compared to other measures of relative importance based on effects size or variance reduction. Sometimes the model-averaged regression coefficients for predictor variables are incorrectly used to make model-averaged predictions of the response variable when the models are not linear in the parameters. I demonstrate the issues with the first two practices using the college grade point average example extensively analyzed by Burnham and Anderson. I show how partial standard deviations of the predictor variables can be used to detect changing scales of their estimates with multicollinearity. Standardizing estimates based on partial standard deviations for their variables can be used to make the scaling of the estimates commensurate across models, a necessary but not sufficient condition for model averaging of the estimates to be sensible. A unimodal distribution of estimates and valid interpretation of individual parameters are additional requisite conditions. The standardized estimates or equivalently the tstatistics on unstandardized estimates also can be used to provide more informative measures of relative importance than sums of AIC weights. Finally, I illustrate how seriously compromised statistical interpretations and predictions can be for all three of these flawed practices by critiquing their use in a recent species distribution modeling technique developed for predicting Greater Sage-Grouse (Centrocercus urophasianus) distribution in Colorado, USA. These model averaging issues are common in other ecological literature and ought to be discontinued if we are to make effective scientific contributions to ecological knowledge and conservation of natural resources.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-1639.1","usgsCitation":"Cade, B.S., 2015, Model averaging and muddled multimodel inferences: Ecology, v. 96, no. 9, p. 2370-7382, https://doi.org/10.1890/14-1639.1.","startPage":"2370","endPage":"7382","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051478","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578f4f2fe4b0ad6235cf002e","contributors":{"authors":[{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":642943,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"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":70192438,"text":"70192438 - 2015 - The climate space of fire regimes in north-western North America","interactions":[],"lastModifiedDate":"2017-10-26T14:10:10","indexId":"70192438","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"The climate space of fire regimes in north-western North America","docAbstract":"Aim. Studies of fire activity along environmental gradients have been undertaken, but the results of such studies have yet to be integrated with fire-regime analysis. We characterize fire-regime components along climate gradients and a gradient of human influence.
Location. We focus on a climatically diverse region of north-western North America extending from northern British Columbia, Canada, to northern Utah and Colorado, USA.
Methods. We used a multivariate framework to collapse 12 climatic variables into two major climate gradients and binned them into 73 discrete climate domains. We examined variation in fire-regime components (frequency, size, severity, seasonality and cause) across climate domains. Fire-regime attributes were compiled from existing databases and Landsat imagery for 1897 large fires. Relationships among the fire-regime components, climate gradients and human influence were examined through bivariate regressions. The unique contribution of human influence was also assessed.
Results. A primary climate gradient of temperature and summer precipitation and a secondary gradient of continentality and winter precipitation in the study area were identified. Fire occupied a distinct central region of such climate space, within which fire-regime components varied considerably. We identified significant interrelations between fire-regime components of fire size, frequency, burn severity and cause. The influence of humans was apparent in patterns of burn severity and ignition cause.
Main conclusions. Wildfire activity is highest where thermal and moisture gradients converge to promote fuel production, flammability and ignitions. Having linked fire-regime components to large-scale climate gradients, we show that fire regimes – like the climate that controls them – are a part of a continuum, expanding on models of varying constraints on fire activity. The observed relationships between fire-regime components, together with the distinct role of climatic and human influences, generate variation in biotic communities. Thus, future changes to climate may lead to ecological changes through altered fire regimes.
","language":"English","publisher":"Wiley","doi":"10.1111/jbi.12533","usgsCitation":"Whitman, E., Batllori, E., Parisien, M., Miller, C., Coop, J.D., Krawchuk, M.A., Chong, G.W., and Haire, S.L., 2015, The climate space of fire regimes in north-western North America: Journal of Biogeography, v. 42, no. 9, p. 1736-1749, https://doi.org/10.1111/jbi.12533.","productDescription":"14 p.","startPage":"1736","endPage":"1749","ipdsId":"IP-060450","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":347486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.4130859375,\n 45.644768217751924\n ],\n [\n -112.32421875,\n 49.49667452747045\n ],\n [\n -115.57617187499999,\n 53.592504809039376\n ],\n [\n -120.76171875,\n 54.92714186454645\n ],\n [\n -125.41992187499999,\n 57.040729838360875\n ],\n [\n -131.8359375,\n 57.040729838360875\n ],\n [\n -121.201171875,\n 49.89463439573421\n ],\n [\n -122.4755859375,\n 48.80686346108517\n ],\n [\n -121.9921875,\n 43.35713822211053\n ],\n [\n -114.12597656249999,\n 43.61221676817573\n ],\n [\n -114.0380859375,\n 45.27488643704891\n ],\n [\n -112.8955078125,\n 44.15068115978094\n ],\n [\n -111.62109375,\n 44.08758502824516\n ],\n [\n -111.181640625,\n 40.84706035607122\n ],\n [\n -108.7646484375,\n 40.04443758460856\n ],\n [\n -106.4794921875,\n 41.0130657870063\n ],\n [\n -108.4130859375,\n 45.644768217751924\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-26","publicationStatus":"PW","scienceBaseUri":"5a07eb44e4b09af898c8ccd0","contributors":{"authors":[{"text":"Whitman, Ellen","contributorId":187429,"corporation":false,"usgs":false,"family":"Whitman","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":715828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batllori, Enric","contributorId":198367,"corporation":false,"usgs":false,"family":"Batllori","given":"Enric","email":"","affiliations":[],"preferred":false,"id":715829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parisien, Marc-Andre","contributorId":198368,"corporation":false,"usgs":false,"family":"Parisien","given":"Marc-Andre","email":"","affiliations":[],"preferred":false,"id":715830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Carol","contributorId":187430,"corporation":false,"usgs":false,"family":"Miller","given":"Carol","email":"","affiliations":[],"preferred":false,"id":715832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coop, Jonathan D.","contributorId":187427,"corporation":false,"usgs":false,"family":"Coop","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":715833,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krawchuk, Meg A.","contributorId":187425,"corporation":false,"usgs":false,"family":"Krawchuk","given":"Meg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715834,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chong, Geneva W. 0000-0003-3883-5153 geneva_chong@usgs.gov","orcid":"https://orcid.org/0000-0003-3883-5153","contributorId":419,"corporation":false,"usgs":true,"family":"Chong","given":"Geneva","email":"geneva_chong@usgs.gov","middleInitial":"W.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":715827,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haire, Sandra L.","contributorId":187426,"corporation":false,"usgs":false,"family":"Haire","given":"Sandra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":715831,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192532,"text":"70192532 - 2015 - Legacy effects of no-analogue disturbances alter plant community diversity and composition in semi-arid sagebrush steppe","interactions":[],"lastModifiedDate":"2017-10-26T13:19:10","indexId":"70192532","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Legacy effects of no-analogue disturbances alter plant community diversity and composition in semi-arid sagebrush steppe","docAbstract":"Questions
(i) What role does the type of managed disturbance play in structuring sagebrush steppe plant communities? (ii) How does the composition of post-disturbance plant communities change with time since disturbance? (iii) Does plant community diversity change over time following managed disturbance?
Location
Field study within the sagebrush steppe ecosystem. Rich County, Utah, USA.
Methods
We developed a chronosequence spanning up to 50 yrs post-treatment to study sagebrush steppe vegetation dynamics. Direct ordination was used to examine plant community composition by managed disturbance type and time since disturbance, and factorial analysis of covariance was used to examine diversity dynamics following disturbance. Indicator species values were calculated in order to identify characteristic species for each disturbance type.
Results
Plant communities experienced a shift toward distinct community composition for each of the three managed disturbance types, and gave no indication of returning to untreated community composition or diversity. Small post-disturbance increases in the number of non-native grass species were observed in the treatments relative to reference, with native forb species making the largest contribution to altered composition. On fire- and chemically-treated sites the proportional native forb species richness increased over time since disturbance, while the proportional contribution of non-native forbs to total species richness decreased. For all three treatment types, native grasses contributed less on average to total richness than on reference sites, while non-native grasses made up a higher proportion of total richness.
Conclusions
Common shrubland management techniques have legacy effects on the composition and diversity of sagebrush steppe plant communities, and no-analogue disturbances, such as chemical or mechanical treatments, have more pronounced legacy effects than treatments similar to natural disturbance regimes (fire). This study informs a broader understanding of how management actions affect natural systems by highlighting the importance of long-term management legacies as drivers of plant community structure and function.
","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12293","usgsCitation":"Ripplinger, J., Franklin, J., and Edwards, T., 2015, Legacy effects of no-analogue disturbances alter plant community diversity and composition in semi-arid sagebrush steppe: Journal of Vegetation Science, v. 26, no. 5, p. 923-933, https://doi.org/10.1111/jvs.12293.","productDescription":"11 p.","startPage":"923","endPage":"933","ipdsId":"IP-037820","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","county":"Rich 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PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-27","publicationStatus":"PW","scienceBaseUri":"5a07eb44e4b09af898c8ccce","contributors":{"authors":[{"text":"Ripplinger, Julie","contributorId":198536,"corporation":false,"usgs":false,"family":"Ripplinger","given":"Julie","email":"","affiliations":[],"preferred":false,"id":716352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Franklin, Janet","contributorId":90833,"corporation":false,"usgs":true,"family":"Franklin","given":"Janet","affiliations":[],"preferred":false,"id":716353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":191916,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas C.","suffix":"Jr.","email":"tce@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716132,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70168977,"text":"70168977 - 2015 - Sediment yields from small, steep coastal watersheds of California","interactions":[],"lastModifiedDate":"2016-03-10T09:35:29","indexId":"70168977","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Sediment yields from small, steep coastal watersheds of California","docAbstract":"Global inventories of sediment discharge to the ocean highlight the importance of small, steep watersheds (i.e., those having drainage areas less than 100,000 km2 and over 1000 m of relief) that collectively provide a dominant flux of sediment. The smallest of these coastal watersheds (e.g., those that have drainage areas less than 1000 km2) can represent a large portion of the drainage areas of active margin coasts, such as California’s coast, but remain almost universally unmonitored. Here we report on the suspended-sediment discharge of several small coastal watersheds (10-56 km2) of the Santa Ynez Mountains, California, that were found to have ephemeral discharge and suspended-sediment concentrations ranging between 1 and over 200,000 mgL-1. Sediment concentrations were weakly correlated with discharge (r2 = 0.10–0.25), and all types of hysteresis patterns were observed during high flows (clockwise, counterclockwise, no hysteresis, and complex). Sediment discharge varied strongly with time and was measurably elevated in one watershed following a wildfire. Although sediment yields varied by over 100-fold across the watersheds (e.g., 15 – 2100 tkm-2 yr -1during the relatively wet 2005 water year), the majority of sediment discharge (65-80%) occurred during only 1% of the time for all watersheds. Furthermore, sampling of dozens of high flow events provides evidence that sediment yields were generally related to peak discharge yields, although these relationships were not consistent across the watersheds. These results suggest that small watersheds of active margins can provide large fluxes of sediment to the coast, but that the rates and timing of this sediment discharge is more irregular in time – and thus more difficult to characterize – than the better monitored and studied watersheds that are 1000-100,000 km2.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.08.004","usgsCitation":"Warrick, J., Melack, J.M., and Goodridge, B.M., 2015, Sediment yields from small, steep coastal watersheds of California: Journal of Hydrology: Regional Studies, v. 4, no. Part B, p. 516-534, https://doi.org/10.1016/j.ejrh.2015.08.004.","productDescription":"19 p.","startPage":"516","endPage":"534","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052345","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.08.004","text":"Publisher Index Page"},{"id":318770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.69305419921874,\n 33.831638461142866\n ],\n [\n -120.69305419921874,\n 34.69194468425019\n ],\n [\n -118.50952148437499,\n 34.69194468425019\n ],\n [\n -118.50952148437499,\n 33.831638461142866\n ],\n [\n -120.69305419921874,\n 33.831638461142866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"Part B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56e2a8cce4b0f59b85d391b0","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":146720,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":622424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melack, John M.","contributorId":167466,"corporation":false,"usgs":false,"family":"Melack","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodridge, Blair M.","contributorId":167467,"corporation":false,"usgs":false,"family":"Goodridge","given":"Blair","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":"We developed a hierarchical multistate model to estimate survival of Atlantic salmon (Salmo salar) smolts in the Penobscot River, USA, over a decade during which two mainstem dams were removed from the catchment. We investigated effects of (i) environmental factors, (ii) rearing history, and (iii) 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−1) than through reaches containing dams that remain in the system (0.970 ± 0.019·km−1). We observed maximum survival between 12 and 17 °C and at intermediate discharges (1200 m3·s−1). 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.
","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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693210,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192966,"text":"70192966 - 2015 - Aquaculture disturbance impacts the diet but not ecological linkages of a ubiquitous predatory fish","interactions":[],"lastModifiedDate":"2017-11-07T12:27:20","indexId":"70192966","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Aquaculture disturbance impacts the diet but not ecological linkages of a ubiquitous predatory fish","docAbstract":"Aquaculture operations are a frequent and prominent cause of anthropogenic disturbance to marine and estuarine communities and may alter species composition and abundance. However, little is known about how such disturbances affect trophic linkages or ecosystem functions. In Puget Sound, Washington, aquaculture of the Pacific geoduck clam (Panopea generosa) is increasing and involves placing nets and polyvinyl chloride (PVC) tubes in intertidal areas to protect juvenile geoducks from predators. Initial studies of the structured phase of the farming cycle have documented limited impacts on the abundance of some species. To examine the effect of geoduck aquaculture on ecological linkages, the trophic relationships of a local ubiquitous consumer, Pacific staghorn sculpin (Leptocottus armatus), to its invertebrate prey were compared between geoduck aquaculture sites and nearby reference areas with no aquaculture. Mark-recapture data indicated that sculpin exhibit local site fidelity to cultured and reference areas. The stomach contents of sculpin and stable isotope signatures of sculpin and their prey were examined to study the trophic ecology of cultured and reference areas. Results showed that the structured phase of geoduck aquaculture initiated some changes to staghorn sculpin ecology, as reflected in sculpin diet through stomach content analysis. However, carbon and nitrogen stable isotopes revealed that the general food web function of sculpin remained unchanged. The source of carbon at the base of the food web and the trophic position of sculpin were not impacted by geoduck aquaculture. The study has important implications for geoduck aquaculture management and will inform regulatory decisions related to shellfish aquaculture policy.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-014-9909-z","usgsCitation":"McPeek, K.C., McDonald, P.S., and VanBlaricom, G., 2015, Aquaculture disturbance impacts the diet but not ecological linkages of a ubiquitous predatory fish: Estuaries and Coasts, v. 38, no. 5, p. 1520-1534, https://doi.org/10.1007/s12237-014-9909-z.","productDescription":"15 p.","startPage":"1520","endPage":"1534","ipdsId":"IP-056019","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","volume":"38","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-08","publicationStatus":"PW","scienceBaseUri":"5a07eb44e4b09af898c8cccc","contributors":{"authors":[{"text":"McPeek, Kathleen C.","contributorId":172073,"corporation":false,"usgs":false,"family":"McPeek","given":"Kathleen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, P. Sean","contributorId":200077,"corporation":false,"usgs":false,"family":"McDonald","given":"P.","email":"","middleInitial":"Sean","affiliations":[],"preferred":false,"id":720913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"VanBlaricom, Glenn glennvb@usgs.gov","contributorId":198864,"corporation":false,"usgs":true,"family":"VanBlaricom","given":"Glenn","email":"glennvb@usgs.gov","affiliations":[],"preferred":true,"id":717462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192652,"text":"70192652 - 2015 - Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations","interactions":[],"lastModifiedDate":"2017-11-08T15:46:00","indexId":"70192652","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations","docAbstract":"- Prediction is fundamental to scientific enquiry and application; however, ecologists tend to favour explanatory modelling. We discuss a predictive modelling framework to evaluate ecological hypotheses and to explore novel/unobserved environmental scenarios to assist conservation and management decision-makers. We apply this framework to develop an optimal predictive model for juvenile (<1 year old) sandhill crane Grus canadensis recruitment of the Rocky Mountain Population (RMP). We consider spatial climate predictors motivated by hypotheses of how drought across multiple time-scales and spring/summer weather affects recruitment.
- Our predictive modelling framework focuses on developing a single model that includes all relevant predictor variables, regardless of collinearity. This model is then optimized for prediction by controlling model complexity using a data-driven approach that marginalizes or removes irrelevant predictors from the model. Specifically, we highlight two approaches of statistical regularization, Bayesian least absolute shrinkage and selection operator (LASSO) and ridge regression.
- Our optimal predictive Bayesian LASSO and ridge regression models were similar and on average 37% superior in predictive accuracy to an explanatory modelling approach. Our predictive models confirmed a priori hypotheses that drought and cold summers negatively affect juvenile recruitment in the RMP. The effects of long-term drought can be alleviated by short-term wet spring–summer months; however, the alleviation of long-term drought has a much greater positive effect on juvenile recruitment. The number of freezing days and snowpack during the summer months can also negatively affect recruitment, while spring snowpack has a positive effect.
- Breeding habitat, mediated through climate, is a limiting factor on population growth of sandhill cranes in the RMP, which could become more limiting with a changing climate (i.e. increased drought). These effects are likely not unique to cranes. The alteration of hydrological patterns and water levels by drought may impact many migratory, wetland nesting birds in the Rocky Mountains and beyond.
- Generalizable predictive models (trained by out-of-sample fit and based on ecological hypotheses) are needed by conservation and management decision-makers. Statistical regularization improves predictions and provides a general framework for fitting models with a large number of predictors, even those with collinearity, to simultaneously identify an optimal predictive model while conducting rigorous Bayesian model selection. Our framework is important for understanding population dynamics under a changing climate and has direct applications for making harvest and habitat management decisions.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12370","usgsCitation":"Gerber, B.D., Kendall, W., Hooten, M., Dubovsky, J.A., and Drewien, R.C., 2015, Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations: Journal of Animal Ecology, v. 84, no. 5, p. 1299-1310, https://doi.org/10.1111/1365-2656.12370.","productDescription":"12 p.","startPage":"1299","endPage":"1310","ipdsId":"IP-061026","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471832,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12370","text":"Publisher Index Page"},{"id":348504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-18","publicationStatus":"PW","scienceBaseUri":"5a0425c2e4b0dc0b45b453ff","contributors":{"authors":[{"text":"Gerber, Brian D.","contributorId":187620,"corporation":false,"usgs":false,"family":"Gerber","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":721374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":721375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubovsky, James A.","contributorId":100763,"corporation":false,"usgs":true,"family":"Dubovsky","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drewien, Roderick C.","contributorId":195989,"corporation":false,"usgs":false,"family":"Drewien","given":"Roderick","email":"","middleInitial":"C.","affiliations":[{"id":342,"text":"Idaho Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":721377,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159653,"text":"70159653 - 2015 - Factors affecting the thermal environment of Agassiz’s Desert Tortoise (Gopherus agassizii) 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 (Gopherus agassizii) cover sites in the Central Mojave Desert during periods of temperature extremes","docAbstract":"Agassiz's Desert Tortoises (Gopherus agassizii) spend >95% of their lives underground in cover sites that serve as thermal buffers from temperatures, which can fluctuate >40°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.
","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 (Gopherus agassizii) 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":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology 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":"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 ± 46 m a.s.l. The cumulative volume change was 4.7 ± 2.6 × 105 m3. The strain energy of the source was evaluated 3–5 times higher than the surface energy needed to open the 6–7 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).
","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":70185704,"text":"70185704 - 2015 - On critiques of “Stationarity is dead: Whither water management?”","interactions":[],"lastModifiedDate":"2017-03-28T10:05:45","indexId":"70185704","displayToPublicDate":"2015-09-01T00:00:00","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":"On critiques of “Stationarity is dead: Whither water management?”","docAbstract":"We review and comment upon some themes in the recent stream of critical commentary on the assertion that “stationarity is dead,” attempting to clear up some misunderstandings; to note points of agreement; to elaborate on matters in dispute; and to share further relevant thoughts.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015WR017408","usgsCitation":"Milly, P., Betancourt, J.L., Falkenmark, M., Hirsch, R.M., Kundzewicz, Z.W., Lettenmaier, D.P., Stouffer, R.J., Dettinger, M.D., and Krysanova, V., 2015, On critiques of “Stationarity is dead: Whither water management?”: Water Resources Research, v. 51, no. 9, p. 7785-7789, https://doi.org/10.1002/2015WR017408.","productDescription":"5 p.","startPage":"7785","endPage":"7789","ipdsId":"IP-068016","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":471833,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr017408","text":"Publisher Index Page"},{"id":338441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-12","publicationStatus":"PW","scienceBaseUri":"58db7631e4b0ee37af29e4a0","contributors":{"authors":[{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":686458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":686459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falkenmark, Malin","contributorId":189911,"corporation":false,"usgs":false,"family":"Falkenmark","given":"Malin","email":"","affiliations":[],"preferred":false,"id":686460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":686461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kundzewicz, Zbigniew W.","contributorId":189912,"corporation":false,"usgs":false,"family":"Kundzewicz","given":"Zbigniew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":686462,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lettenmaier, Dennis P.","contributorId":139779,"corporation":false,"usgs":false,"family":"Lettenmaier","given":"Dennis","email":"","middleInitial":"P.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":686463,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stouffer, Ronald J.","contributorId":189913,"corporation":false,"usgs":false,"family":"Stouffer","given":"Ronald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":686464,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":686465,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krysanova, Valentina","contributorId":189914,"corporation":false,"usgs":false,"family":"Krysanova","given":"Valentina","email":"","affiliations":[],"preferred":false,"id":686466,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"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":"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.
","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}]}}
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