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The main driver of Lake Erie HABs is elevated phosphorus loading from watersheds draining to the western basin, particularly from the Maumee River watershed (Obenour et al. 2014). Through the 2012 Great Lakes Water Quality Agreement (GLWQA), the U.S. and Canadian governments agreed to revise Lake Erie phosphorus loading targets to decrease HAB severity below levels representing a hazard to ecosystem and human health. New targets limit March-July loadings from the Maumee River to 186 metric tonnes of dissolved reactive phosphorus (DRP) and 860 metric tonnes of total phosphorus (TP) &ndash; a 40% reduction from 2008 loads (GLWQA 2016).</p>\n<p>The Great Lakes region must now determine what policy options are most effective and feasible for meeting those targets. While all sources are important, our focus is on agriculture because it overwhelms other sources. In a conservative ballpark estimate we found that 85% of the Maumee River&rsquo;s load to Lake Erie comes from farm fertilizers and manures, even though this is only 10% of farmland fertilizer applications (Figure 1). Load targets will not be met without reductions from agriculture.</p>\n<p>Therefore, the overall goal of this study was to identify potential options for agricultural management to reduce phosphorus loads and lessen future HABs in Lake Erie. We applied multiple watershed models to test the ability of a series of land management scenarios, developed in consultation with agricultural and environmental stakeholders, to reach the proposed targets.&nbsp;</p>","language":"English","publisher":"University of Michigan Water Center","usgsCitation":"Scavia, D., Kalcic, M., Muenich, R.L., Aloysius, N., Arnold, J., Boles, C., Confesor, R., DePinto, J., Gildow, M., Martin, J., Read, J., Redder, T., Robertson, D.M., Sowa, S.P., Wang, Y., White, M., and Yen, H., 2016, Informing Lake Erie agriculture nutrient management via scenario evaluation, 79 p.","productDescription":"79 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074926","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":321515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321514,"rank":1,"type":{"id":15,"text":"Index 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Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":630049,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"White, Michael","contributorId":169565,"corporation":false,"usgs":false,"family":"White","given":"Michael","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":630050,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Yen, Haw 0000-0002-5509-8792","orcid":"https://orcid.org/0000-0002-5509-8792","contributorId":169564,"corporation":false,"usgs":false,"family":"Yen","given":"Haw","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":630051,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70174974,"text":"70174974 - 2016 - Detailed mapping and rupture implications of the 1 km releasing bend in the Rodgers Creek Fault at Santa Rosa, northern California","interactions":[],"lastModifiedDate":"2021-05-21T17:14:50.19961","indexId":"70174974","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Detailed mapping and rupture implications of the 1 km releasing bend in the Rodgers Creek Fault at Santa Rosa, northern California","docAbstract":"<p><span>Airborne light detection and ranging (lidar) topography reveals for the first time the trace of the Rodgers Creek fault (RCF) through the center of Santa Rosa, the largest city in the northern San Francisco Bay area. Vertical deformation of the Santa Rosa Creek floodplain expresses a composite pull‐apart basin beneath the urban cover that is part of a broader 1‐km‐wide right‐releasing bend in the fault. High‐resolution geophysical data illuminate subsurface conditions that may be responsible for the complex pattern of surface faulting, as well as for the distribution of seismicity and possibly for creep behavior. We identify a dense, magnetic basement body bounded by the RCF beneath Santa Rosa that we interpret as a strong asperity, likely part of a larger locked patch of the fault to the south. A local increase in frictional resistance associated with the basement body appears to explain (1)&nbsp;distributed fault‐normal extension above where the RCF intersects the body; (2)&nbsp;earthquake activity around the northern end of the body, notably the 1969&nbsp;</span><i>M</i><sub><span>L</span></sub><span>&nbsp;5.6 and 5.7 events and aftershocks; and (3)&nbsp;creep rates on the RCF that are higher to the north of Santa Rosa than to the south. There is a significant probability of a major earthquake on the RCF in the coming decades, and earthquakes associated with the proposed asperity have the potential to release seismic energy into the Cotati basin beneath Santa Rosa, already known from damaging historical earthquakes to produce amplified ground shaking.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150152","usgsCitation":"Hecker, S., Langenheim, V., Williams, R., Hitchcock, C.S., and DeLong, S.B., 2016, Detailed mapping and rupture implications of the 1 km releasing bend in the Rodgers Creek Fault at Santa Rosa, northern California: Bulletin of the Seismological Society of America, v. 106, no. 2, p. 575-594, https://doi.org/10.1785/0120150152.","productDescription":"20 p.","startPage":"575","endPage":"594","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062016","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":325596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Santa Rosa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.84637451171874,\n              38.33088431959968\n            ],\n            [\n              -122.84637451171874,\n              38.52453288748689\n            ],\n            [\n              -122.55249023437501,\n              38.52453288748689\n            ],\n            [\n              -122.55249023437501,\n              38.33088431959968\n            ],\n            [\n              -122.84637451171874,\n              38.33088431959968\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-01","publicationStatus":"PW","scienceBaseUri":"5797382fe4b021cadec8ff2a","contributors":{"authors":[{"text":"Hecker, Suzanne 0000-0002-5054-372X shecker@usgs.gov","orcid":"https://orcid.org/0000-0002-5054-372X","contributorId":3553,"corporation":false,"usgs":true,"family":"Hecker","given":"Suzanne","email":"shecker@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":643469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":643470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Robert 0000-0002-2973-8493 rawilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":140741,"corporation":false,"usgs":true,"family":"Williams","given":"Robert","email":"rawilliams@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":643471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitchcock, Christopher S.","contributorId":173160,"corporation":false,"usgs":false,"family":"Hitchcock","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":27167,"text":"InfraTerra, Inc.","active":true,"usgs":false}],"preferred":false,"id":643472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":643473,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70171087,"text":"70171087 - 2016 - Avian malaria in a boreal resident species: long-term temporal variability, and increased prevalence in birds with avian keratin disorder","interactions":[],"lastModifiedDate":"2016-05-19T09:59:24","indexId":"70171087","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2024,"text":"International Journal for Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Avian malaria in a boreal resident species: long-term temporal variability, and increased prevalence in birds with avian keratin disorder","docAbstract":"<p><span>The prevalence of vector-borne parasitic diseases is widely influenced by biological and ecological factors. Environmental conditions such as temperature and precipitation can have a marked effect on haemosporidian parasites (</span><i>Plasmodium</i><span>&nbsp;spp.) that cause malaria and those that cause other malaria-like diseases in birds. However, there have been few long-term studies monitoring haemosporidian infections in birds in northern latitudes, where weather conditions can be highly variable and the effects of climate change are becoming more pronounced. We used molecular methods to screen more than 2,000 blood samples collected from black-capped chickadees (</span><i>Poecile atricapillus</i><span>), a resident passerine bird. Samples were collected over a 10&nbsp;year period, mostly during the non-breeding season, at seven sites in Alaska, USA. We tested for associations between&nbsp;</span><i>Plasmodium</i><span>&nbsp;prevalence and local environmental conditions including temperature, precipitation, site, year and season. We also evaluated the relationship between parasite prevalence and individual host factors of age, sex and presence or absence of avian keratin disorder. This disease, which causes accelerated keratin growth in the beak, provided a natural study system in which to test the interaction between disease state and malaria prevalence. Prevalence of&nbsp;</span><i>Plasmodium</i><span>&nbsp;infection varied by year, site, age and individual disease status but there was no support for an effect of sex or seasonal period. Significantly, birds with avian keratin disorder were 2.6&nbsp;times more likely to be infected by&nbsp;</span><i>Plasmodium</i><span>&nbsp;than birds without the disorder. Interannual variation in the prevalence of&nbsp;</span><i>Plasmodium</i><span>&nbsp;infection at different sites was positively correlated with summer temperatures at the local but not statewide scale. Sequence analysis of the parasite cytochrome&nbsp;</span><i>b</i><span>&nbsp;gene revealed a single&nbsp;</span><i>Plasmodium</i><span>spp. lineage, P43. Our results demonstrate associations between prevalence of avian malaria and a variety of biological and ecological factors. These results also provide important baseline data that will be informative for predicting future changes in</span><i>Plasmodium</i><span>&nbsp;prevalence in the subarctic.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijpara.2015.12.008","usgsCitation":"Wilkinson, L.C., Handel, C.M., Van Hemert, C.R., Loiseau, C., and Sehgal, R.N., 2016, Avian malaria in a boreal resident species: long-term temporal variability, and increased prevalence in birds with avian keratin disorder: International Journal for Parasitology, v. 16, no. 4, p. 281-290, https://doi.org/10.1016/j.ijpara.2015.12.008.","productDescription":"10 p.","startPage":"281","endPage":"290","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067095","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":471107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Claire","contributorId":169501,"corporation":false,"usgs":false,"family":"Loiseau","given":"Claire","email":"","affiliations":[],"preferred":false,"id":629822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sehgal, Ravinder N. M.","contributorId":140276,"corporation":false,"usgs":false,"family":"Sehgal","given":"Ravinder","email":"","middleInitial":"N. M.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":629823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173645,"text":"70173645 - 2016 - Population size and stopover duration estimation using mark–resight data and Bayesian analysis of a superpopulation model","interactions":[],"lastModifiedDate":"2023-03-30T15:33:58.035111","indexId":"70173645","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Population size and stopover duration estimation using mark–resight data and Bayesian analysis of a superpopulation model","docAbstract":"<p><span>We present a novel formulation of a mark&ndash;recapture&ndash;resight model that allows estimation of population size, stopover duration, and arrival and departure schedules at migration areas. Estimation is based on encounter histories of uniquely marked individuals and relative counts of marked and unmarked animals. We use a Bayesian analysis of a state&ndash;space formulation of the Jolly&ndash;Seber mark&ndash;recapture model, integrated with a binomial model for counts of unmarked animals, to derive estimates of population size and arrival and departure probabilities. We also provide a novel estimator for stopover duration that is derived from the latent state variable representing the interim between arrival and departure in the state&ndash;space model. We conduct a simulation study of field sampling protocols to understand the impact of superpopulation size, proportion marked, and number of animals sampled on bias and precision of estimates. Simulation results indicate that relative bias of estimates of the proportion of the population with marks was low for all sampling scenarios and never exceeded 2%. Our approach does not require enumeration of all unmarked animals detected or direct knowledge of the number of marked animals in the population at the time of the study. This provides flexibility and potential application in a variety of sampling situations (e.g., migratory birds, breeding seabirds, sea turtles, fish, pinnipeds, etc.). Application of the methods is demonstrated with data from a study of migratory sandpipers.</span></p>","language":"English","publisher":"The International Biometric Society","doi":"10.1111/biom.12393","usgsCitation":"Lyons, J., Kendall, W., Royle, J., Converse, S., Andres, B.A., and Buchanan, J.B., 2016, Population size and stopover duration estimation using mark–resight data and Bayesian analysis of a superpopulation model: Biometrics, v. 72, no. 1, p. 262-271, https://doi.org/10.1111/biom.12393.","productDescription":"10 p.","startPage":"262","endPage":"271","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044684","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":323259,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-08","publicationStatus":"PW","scienceBaseUri":"57594221e4b04f417c256939","contributors":{"authors":[{"text":"Lyons, James E.","contributorId":35461,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[],"preferred":false,"id":637860,"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":637450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":637451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Converse, Sarah J.","contributorId":85716,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah J.","affiliations":[],"preferred":false,"id":637861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andres, Brad A.","contributorId":68811,"corporation":false,"usgs":true,"family":"Andres","given":"Brad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637862,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buchanan, Joseph B.","contributorId":171532,"corporation":false,"usgs":false,"family":"Buchanan","given":"Joseph","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":637863,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70168634,"text":"70168634 - 2016 - Increasing influence of air temperature on upper Colorado River streamflow","interactions":[],"lastModifiedDate":"2018-04-03T11:23:43","indexId":"70168634","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","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":"Increasing influence of air temperature on upper Colorado River streamflow","docAbstract":"<p><span>This empirical study examines the influence of precipitation, temperature, and antecedent soil moisture on upper Colorado River basin (UCRB) water year streamflow over the past century. While cool season precipitation explains most of the variability in annual flows, temperature appears to be highly influential under certain conditions, with the role of antecedent fall soil moisture less clear. In both wet and dry years, when flow is substantially different than expected given precipitation, these factors can modulate the dominant precipitation influence on streamflow. Different combinations of temperature, precipitation, and soil moisture can result in flow deficits of similar magnitude, but recent droughts have been amplified by warmer temperatures that exacerbate the effects of relatively modest precipitation deficits. Since 1988, a marked increase in the frequency of warm years with lower flows than expected, given precipitation, suggests continued warming temperatures will be an increasingly important influence in reducing future UCRB water supplies.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL067613","usgsCitation":"Woodhouse, C.A., Pederson, G.T., Morino, K., McAfee, S., and McCabe, G., 2016, Increasing influence of air temperature on upper Colorado River streamflow: Geophysical Research Letters, v. 43, no. 5, p. 2174-2181, https://doi.org/10.1002/2015GL067613.","productDescription":"8 p.","startPage":"2174","endPage":"2181","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069464","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":471106,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl067613","text":"Publisher Index Page"},{"id":322023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-09","publicationStatus":"PW","scienceBaseUri":"57500767e4b0ee97d51bb659","contributors":{"authors":[{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":621077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":621076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morino, Kiyomi","contributorId":78210,"corporation":false,"usgs":true,"family":"Morino","given":"Kiyomi","email":"","affiliations":[],"preferred":false,"id":621078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAfee, Stephanie A.","contributorId":167115,"corporation":false,"usgs":false,"family":"McAfee","given":"Stephanie A.","affiliations":[{"id":24618,"text":"Department of Geography, University of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":621079,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":167116,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":621080,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162467,"text":"70162467 - 2016 - The Chief Joseph Hatchery Program 2013 Annual Report","interactions":[],"lastModifiedDate":"2017-12-12T12:49:35","indexId":"70162467","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"The Chief Joseph Hatchery Program 2013 Annual Report","docAbstract":"<p>The Chief Joseph Hatchery is the fourth hatchery obligated under the Grand Coulee Dam/Dry Falls project, originating in the 1940s. Leavenworth, Entiat, and Winthrop National Fish Hatcheries were built and operated as mitigation for salmon blockage at Grand Coulee Dam, but the fourth hatchery was not built, and the obligation was nearly forgotten. After the Colville Tribes successfully collaborated with the United States to resurrect the project, planning of the hatchery began in 2001 and construction was completed in 2013. The monitoring program began in 2012 and adult Chinook Salmon were brought on station for the first time in June 2013. BPA is the primary funding source for CJH, and the Mid-Columbia PUDs (Douglas, Grant and Chelan County) have entered into cost-share agreements with the tribes and BPA in order to meet some of their mitigation obligations. </p><p>The CJH production level was set at 60% in 2013 in order to train staff and test hatchery facility systems during the first year of operation. Leavenworth National Fish Hatchery (LNFH) provided 422 Spring Chinook broodstock in June, 2013; representing the official beginning of CJH operations. In July and August the CCT used a purse seine vessel to collect 814 summer/fall Chinook as broodstock that were a continuation and expansion of the previous Similkameen Pond program. In-hatchery survival for most life stages exceeded survival targets and, as of April 2014, the program was on track to exceed the 60% production target for its start-up year. </p><p>The CJH monitoring project collected field data to determine Chinook population status, trend, and hatchery effectiveness centered on five major activities; 1) rotary screw traps (juvenile outmigration, natural-origin smolt PIT tagging) 2) beach seine (naturalorigin smolt PIT tagging) 3) lower Okanogan adult fish pilot weir (adult escapement, proportion of hatchery-origin spawners [pHOS], broodstock) 4) spawning ground surveys (redd and carcass surveys)(viable salmonid population [VSP] parameters) 5) eDNA collection (VSP parameter—distribution/spatial structure). </p><p>Adult summer/fall Chinook spawning escapement in 2013 was estimated to be 8,193, with more than 6,227 natural-origin spawners, which exceeded the recent five year and long term averages. The values for pHOS (0.24) and proportion of natural influence (PNI) (0.79) in 2013 exceeded the objectives (0.67), but the five year averages fell short of the goals (0.39 and 0.62, respectively). </p><p>An Annual Program Review (APR) was held in March, 2014 to share hatchery production and monitoring data, review the salmon forecast for the upcoming year, and develop action plans for the hatchery, selective harvest, and monitoring projects. Based on a strong pre-season forecast of 67,500 Upper Columbia summer/fall Chinook, the plan for 2014 is to operate the hatchery at full program levels of 2 million summer/fall Chinook and 900,000 spring Chinook. To maximize PNI, broodstock for the integrated program should Chief Joseph Hatchery Program 2013 Annual Report 3 be 100% natural-origin broodstock (NOB) and CCT should plan to harvest their full allocation with the selective harvest program removing as many adult hatchery Chinook as possible with the purse seine, the weir, and at the hatchery ladder. </p>","language":"English","publisher":"Colville Confederated Tribes Fish and Wildlife Program","usgsCitation":"Baldwin, C., Pearl, A., Laramie, M., Rohrback, J., Phillips, P., and Wolf, K., 2016, The Chief Joseph Hatchery Program 2013 Annual Report, 148 p.","productDescription":"148 p.","ipdsId":"IP-057557","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":340197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340196,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cct-fnw.com/reports/"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0e9de4b006455f2d61be","contributors":{"authors":[{"text":"Baldwin, Casey","contributorId":178155,"corporation":false,"usgs":false,"family":"Baldwin","given":"Casey","affiliations":[],"preferred":false,"id":692632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearl, Andrea","contributorId":178154,"corporation":false,"usgs":false,"family":"Pearl","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":692633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laramie, Matthew 0000-0001-7820-2583 mlaramie@usgs.gov","orcid":"https://orcid.org/0000-0001-7820-2583","contributorId":152532,"corporation":false,"usgs":true,"family":"Laramie","given":"Matthew","email":"mlaramie@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":589651,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohrback, John","contributorId":178156,"corporation":false,"usgs":false,"family":"Rohrback","given":"John","email":"","affiliations":[],"preferred":false,"id":692634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phillips, Pat","contributorId":178157,"corporation":false,"usgs":false,"family":"Phillips","given":"Pat","email":"","affiliations":[],"preferred":false,"id":692635,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolf, Keith","contributorId":147874,"corporation":false,"usgs":false,"family":"Wolf","given":"Keith","affiliations":[],"preferred":false,"id":692636,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70162313,"text":"70162313 - 2016 - Does urban sprawl hold down upward mobility?","interactions":[],"lastModifiedDate":"2016-07-11T15:46:08","indexId":"70162313","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Does urban sprawl hold down upward mobility?","docAbstract":"<p>Contrary to the general perception, the United States has a much more class-bound society than other wealthy countries. The chance of upward mobility for Americans is just half that of the citizens of the Denmark and many other European countries. In addition to other influences, the built environment may contribute to the low rate of upward mobility in the U.S. This study tests the relationship between urban sprawl and upward mobility for commuting zones in the U.S. We examine potential pathways through which sprawl may have an effect on mobility. We use structural equation modeling to account for both direct and indirect effects of sprawl on upward mobility. We find that upward mobility is significantly higher in compact areas than sprawling areas. The direct effect, which we attribute to better job accessibility in more compact commuting zones, is stronger than the indirect effects. Of the indirect effects, only one, through the mediating variable income segregation, is significant.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.landurbplan.2015.11.012","collaboration":"Ewing, R. University of Utah; Shima Hamidi, University of Utah","usgsCitation":"Ewing, R., Hamidi, S., Grace, J.B., and Wei, Y., 2016, Does urban sprawl hold down upward mobility?: Landscape and Urban Planning, v. 148, p. 80-88, https://doi.org/10.1016/j.landurbplan.2015.11.012.","productDescription":"9 p.","startPage":"80","endPage":"88","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057604","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2015.11.012","text":"Publisher Index Page"},{"id":314696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"148","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a360bbe4b0b28f1183bbef","contributors":{"authors":[{"text":"Ewing, R.","contributorId":69947,"corporation":false,"usgs":true,"family":"Ewing","given":"R.","affiliations":[],"preferred":false,"id":589208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamidi, Shima","contributorId":30909,"corporation":false,"usgs":true,"family":"Hamidi","given":"Shima","affiliations":[],"preferred":false,"id":589209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":589207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, Y.","contributorId":9502,"corporation":false,"usgs":true,"family":"Wei","given":"Y.","email":"","affiliations":[],"preferred":false,"id":589461,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169003,"text":"70169003 - 2016 - Low soil moisture during hot periods drives apparent negative temperature sensitivity of soil respiration in a dryland ecosystem: A multi-model comparison","interactions":[],"lastModifiedDate":"2020-12-17T19:08:24.558711","indexId":"70169003","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Low soil moisture during hot periods drives apparent negative temperature sensitivity of soil respiration in a dryland ecosystem: A multi-model comparison","docAbstract":"<p><span>Arid and semiarid ecosystems (drylands) may dominate the trajectory of biosphere-to-atmosphere carbon (C) exchange, and understanding dryland CO</span><sub>2</sub><span>&nbsp;efflux is important for C cycling at the global-scale. However, unknowns remain regarding how temperature and moisture interact to regulate dryland soil respiration (</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>), while ‘islands of fertility’ in drylands create spatially heterogeneous&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>. At a site in southeastern Utah, USA we added or removed litter (0–650&nbsp;% of control) in plots associated with either shrubs or biological soil crust-dominated interspaces between vascular plants. We measured&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>, soil temperature (T</span><sub>s</sub><span>), and water content (θ) repeatedly from October 2013 to November 2014.&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>was highest following rain in late summer at T</span><sub>s</sub><span>&nbsp;~30&nbsp;°C, and lowest mid-summer at T</span><sub>s</sub><span>&nbsp;&gt; 40&nbsp;°C, resulting in apparent negative temperature sensitivity of&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>at high temperatures, and positive temperature sensitivity at low-moderate temperatures. We used Bayesian statistical methods to compare models capturing a range of hypothesized relationships between T</span><sub>s</sub><span>, θ, and&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>. The best model indicates that apparent negative temperature sensitivity of&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>at high T</span><sub>s</sub><span>&nbsp;reflects the control of water content, not high temperatures. Modeled Q</span><sub>10</sub><span>&nbsp;ranged from 2.7 to 1.4 between 5 and 45&nbsp;°C. Litter addition had no effect on Q</span><sub>10</sub><span>&nbsp;or reference respiration (</span><i>R</i><span>&nbsp;</span><sub><i>ref</i><span>&nbsp;</span></sub><span>&nbsp;=&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>at 20&nbsp;°C and optimum θ) beneath shrubs, and little effect on&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>ref</i><span>&nbsp;</span></sub><span>in interspaces, yet&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>ref</i><span>&nbsp;</span></sub><span>was 1.5 times higher beneath shrubs than in interspaces. Altogether, these results suggest reduced&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>often observed at high T</span><sub>s</sub><span>&nbsp;in drylands is dominated by the control of θ, and, on shorter-timescales, variable litter inputs exert minimal control over&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-016-0200-1","usgsCitation":"Tucker, C., and Reed, S.C., 2016, Low soil moisture during hot periods drives apparent negative temperature sensitivity of soil respiration in a dryland ecosystem: A multi-model comparison: Biogeochemistry, v. 128, no. 1, p. 155-169, https://doi.org/10.1007/s10533-016-0200-1.","productDescription":"15 p.","startPage":"155","endPage":"169","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070711","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":322026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-02","publicationStatus":"PW","scienceBaseUri":"57500769e4b0ee97d51bb679","contributors":{"authors":[{"text":"Tucker, Colin 0000-0002-4539-7780 ctucker@usgs.gov","orcid":"https://orcid.org/0000-0002-4539-7780","contributorId":167487,"corporation":false,"usgs":true,"family":"Tucker","given":"Colin","email":"ctucker@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":622468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":622469,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70169125,"text":"70169125 - 2016 - Growth, survival, longevity, and population size of the Big Mouth Cave salamander (<i>Gyrinophilus palleucus necturoides</i>) from the type locality in Grundy County, Tennessee, USA","interactions":[],"lastModifiedDate":"2016-08-17T10:12:12","indexId":"70169125","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Growth, survival, longevity, and population size of the Big Mouth Cave salamander (<i>Gyrinophilus palleucus necturoides</i>) from the type locality in Grundy County, Tennessee, USA","docAbstract":"<p><span>Salamander species that live entirely in subterranean habitats have evolved adaptations that allow them to cope with perpetual darkness and limited energy resources. We conducted a 26-month mark&ndash;recapture study to better understand the individual growth and demography of a population of the Big Mouth Cave Salamander (</span><i>Gyrinophilus palleucus necturoides</i><span>). We employed a growth model to estimate growth rates, age at sexual maturity, and longevity, and an open population model to estimate population size, density, detectability, and survival rates. Furthermore, we examined cover use and evidence of potential predation. Individuals probably reach sexual maturity in 3&ndash;5 years and live at least nine years. Survival rates were generally high (&gt;75%) but declined during the study. More than 30% of captured salamanders had regenerating tails or tail damage, which presumably represent predation attempts by conspecifics or crayfishes. Most salamanders (&gt;90%) were found under cover (e.g., rocks, trash, decaying plant material). Based on 11 surveys during the study, population size estimates ranged from 21 to 104 individuals in the ca. 710 m</span><sup>2</sup><span>&nbsp;study area. Previous surveys indicated that this population experienced a significant decline from the early 1970s through the 1990s, perhaps related to silvicultural and agricultural practices. However, our data suggest that this population has either recovered or stabilized during the past 20 years. Differences in relative abundance between early surveys and our survey could be associated with differences in survey methods or sampling conditions rather than an increase in population size. Regardless, our study demonstrates that this population is larger than previously thought and is in no immediate risk of extirpation, though it does appear to exhibit higher rates of predation than expected for a species believed to be an apex predator of subterranean food webs.</span></p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/OT-14-197","usgsCitation":"Niemiller, M.L., Glorioso, B.M., Fenolio, D.B., Reynolds, R.G., Taylor, S.J., and Miller, B.T., 2016, Growth, survival, longevity, and population size of the Big Mouth Cave salamander (<i>Gyrinophilus palleucus necturoides</i>) from the type locality in Grundy County, Tennessee, USA: Copeia, v. 104, no. 1, p. 35-41, https://doi.org/10.1643/OT-14-197.","productDescription":"7 p.","startPage":"35","endPage":"41","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060758","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":324507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","county":"Grundy County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-85.601,35.5316],[-85.5768,35.5129],[-85.5543,35.4983],[-85.5458,35.4942],[-85.5368,35.4873],[-85.5415,35.4615],[-85.536,35.4315],[-85.5203,35.4219],[-85.5118,35.4228],[-85.5131,35.4078],[-85.4854,35.4063],[-85.4911,35.3996],[-85.4945,35.3955],[-85.4957,35.3937],[-85.4946,35.3869],[-85.489,35.3837],[-85.4952,35.3805],[-85.5003,35.3737],[-85.5037,35.3687],[-85.5032,35.3656],[-85.5072,35.3592],[-85.5145,35.3538],[-85.5174,35.3529],[-85.5264,35.3484],[-85.5281,35.3439],[-85.536,35.3444],[-85.5434,35.3412],[-85.5587,35.3195],[-85.6444,35.3021],[-85.6506,35.3039],[-85.6557,35.3062],[-85.6602,35.303],[-85.6636,35.3012],[-85.6692,35.3008],[-85.6738,35.2981],[-85.6743,35.2931],[-85.6868,35.2886],[-85.6952,35.2895],[-85.7008,35.2913],[-85.7059,35.2918],[-85.7093,35.2891],[-85.6937,35.2396],[-85.74,35.2152],[-85.7715,35.2184],[-85.7855,35.223],[-85.8221,35.2426],[-85.8401,35.2376],[-85.8581,35.2308],[-85.8728,35.2236],[-85.8896,35.2517],[-85.907,35.2753],[-85.9138,35.289],[-85.9076,35.2976],[-85.9087,35.3021],[-85.9076,35.3067],[-85.9047,35.3103],[-85.9042,35.3158],[-85.9008,35.3176],[-85.9014,35.3221],[-85.9047,35.3235],[-85.903,35.3257],[-85.9025,35.3275],[-85.9025,35.3316],[-85.881,35.3489],[-85.8804,35.3607],[-85.8748,35.3688],[-85.8731,35.3711],[-85.8697,35.3806],[-85.886,35.382],[-85.8843,35.3929],[-85.8888,35.4419],[-85.8853,35.4905],[-85.8842,35.4918],[-85.8791,35.4918],[-85.8763,35.5073],[-85.883,35.5077],[-85.8796,35.5127],[-85.8825,35.5168],[-85.8768,35.524],[-85.8644,35.5222],[-85.8576,35.5204],[-85.8327,35.5154],[-85.8175,35.5135],[-85.7542,35.5243],[-85.6971,35.5292],[-85.601,35.5316]]]},\"properties\":{\"name\":\"Grundy\",\"state\":\"TN\"}}]}","volume":"104","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb0e4b07657d1a90ccf","contributors":{"authors":[{"text":"Niemiller, Matthew L.","contributorId":167679,"corporation":false,"usgs":false,"family":"Niemiller","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":623109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":623108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenolio, Dante B.","contributorId":167680,"corporation":false,"usgs":false,"family":"Fenolio","given":"Dante","email":"","middleInitial":"B.","affiliations":[{"id":24805,"text":"Department of Conservation and Research, San Antonio Zoo","active":true,"usgs":false}],"preferred":false,"id":623110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, R. Graham","contributorId":167681,"corporation":false,"usgs":false,"family":"Reynolds","given":"R.","email":"","middleInitial":"Graham","affiliations":[{"id":24806,"text":"Joint Postdoctoral Fellow, Harvard University and the University of Massachusetts Boston","active":true,"usgs":false}],"preferred":false,"id":623111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Steven J.","contributorId":167682,"corporation":false,"usgs":false,"family":"Taylor","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":623112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Brian T.","contributorId":167683,"corporation":false,"usgs":false,"family":"Miller","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":24807,"text":"Department of Biology, Middle Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":623113,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193182,"text":"70193182 - 2016 - NHDPlus as a geospatial framework for SPARROW modeling","interactions":[],"lastModifiedDate":"2018-03-15T10:26:24","indexId":"70193182","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1975,"text":"Impact Assessment Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"NHDPlus as a geospatial framework for SPARROW modeling","docAbstract":"Successful water-resource management requires thorough knowledge and understanding of the relations among water-quality contaminate sources and the factors that affect the transport throughout a hydrologic system. Surface-water modeling is a valuable tool that can be applied to help advance and achieve the understanding of these dynamic relations. Spatially Referenced Regressions on Watershed Attributes (SPARROW) is one such model that uses nonlinear statistical methods to define conceptual and spatial relations among quantities of contaminant sources, monitored contaminant load, aquatic transport processes. NHDPlus Version 2 (V2) is a digital representation of a hydrologic network of streams and associated catchments. The dataset provides the fundamental spatial framework for SPARROW modeling.","language":"English","publisher":"American Water Resources Association","usgsCitation":"Brakebill, J.W., and Schwarz, G., 2016, NHDPlus as a geospatial framework for SPARROW modeling: Impact Assessment Bulletin, v. 18, no. 3.","ipdsId":"IP-073650","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":348610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347782,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"18","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07ea50e4b09af898c8cc73","contributors":{"authors":[{"text":"Brakebill, John W. 0000-0001-9235-6810 jwbrakeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9235-6810","contributorId":1061,"corporation":false,"usgs":true,"family":"Brakebill","given":"John","email":"jwbrakeb@usgs.gov","middleInitial":"W.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":718137,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192938,"text":"70192938 - 2016 - Role of large- and fine-scale variables in predicting catch rates of larval Pacific lamprey in the Willamette Basin, Oregon","interactions":[],"lastModifiedDate":"2017-11-07T12:50:32","indexId":"70192938","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Role of large- and fine-scale variables in predicting catch rates of larval Pacific lamprey in the Willamette Basin, Oregon","docAbstract":"<p><span>Pacific lamprey&nbsp;</span><i>Entosphenus tridentatus</i><span><span>&nbsp;</span>is an anadromous fish native to the Pacific Northwest of the USA. That has declined substantially over the last 40&nbsp;years. Effective conservation of this species will require an understanding of the habitat requirements for each life history stage. Because its life cycle contains extended freshwater rearing (3–8&nbsp;years), the larval stage may be a critical factor limiting abundance of Pacific lamprey. The objective of our study was to estimate the influence of barriers and habitat characteristics on the catch-per-unit-effort (CPUE) of larval Pacific lamprey in the Willamette River Basin, Oregon, USA. We sampled lampreys at multiple locations in wadeable streams throughout the basin in 2011–13 and used an information theoretic approach to examine the relative influence of fine- and large-scale predictors of CPUE. Pacific lamprey was observed across the basin, but its relative abundance appeared to be limited by the presence of natural and artificial barriers in some sub-basins. Lower velocity habitats such as off-channel areas and pools contained higher densities of larval lamprey; mean Pacific lamprey CPUE in off-channel habitats was 4 and 32 times greater than in pools and riffles respectively. Restoration and conservation strategies that improve fish passage, enhance natural hydrologic and depositional processes and increase habitat heterogeneity will likely benefit larval Pacific lamprey.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12207","usgsCitation":"Schultz, L., Mayfield, M.P., Sheoships, G.T., Wyss, L.A., Clemens, B.J., Whitlock, S.L., and Schreck, C.B., 2016, Role of large- and fine-scale variables in predicting catch rates of larval Pacific lamprey in the Willamette Basin, Oregon: Ecology of Freshwater Fish, v. 25, no. 2, p. 261-271, https://doi.org/10.1111/eff.12207.","productDescription":"11 p.","startPage":"261","endPage":"271","ipdsId":"IP-056803","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.50280761718751,\n              43.97700467496408\n            ],\n            [\n              -122.01416015625,\n              43.97700467496408\n            ],\n            [\n              -122.01416015625,\n              45.7176863579072\n            ],\n            [\n              -123.50280761718751,\n              45.7176863579072\n            ],\n            [\n              -123.50280761718751,\n              43.97700467496408\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-19","publicationStatus":"PW","scienceBaseUri":"5a07ea50e4b09af898c8cc75","contributors":{"authors":[{"text":"Schultz, Luke 0000-0002-6751-4626 lschultz@usgs.gov","orcid":"https://orcid.org/0000-0002-6751-4626","contributorId":193171,"corporation":false,"usgs":true,"family":"Schultz","given":"Luke","email":"lschultz@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":720937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayfield, Mariah P.","contributorId":200089,"corporation":false,"usgs":false,"family":"Mayfield","given":"Mariah","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":720938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheoships, Gabe T.","contributorId":200090,"corporation":false,"usgs":false,"family":"Sheoships","given":"Gabe","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":720939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wyss, Lance A.","contributorId":195114,"corporation":false,"usgs":false,"family":"Wyss","given":"Lance","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clemens, Benjamin J.","contributorId":195098,"corporation":false,"usgs":false,"family":"Clemens","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitlock, Steven L.","contributorId":171705,"corporation":false,"usgs":false,"family":"Whitlock","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":720942,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":717382,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193152,"text":"70193152 - 2016 - Occupancy dynamics in human-modified landscapes in a tropical island: implications for conservation design","interactions":[],"lastModifiedDate":"2017-11-21T12:36:29","indexId":"70193152","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy dynamics in human-modified landscapes in a tropical island: implications for conservation design","docAbstract":"<p><strong>Aim</strong></p><p>Avian communities in human-modified landscapes exhibit varying patterns of local colonization and extinction rates, determinants of species occurrence. Our objective was to model these processes to identify habitat features that might enable movements and account for occupancy patterns in habitat matrices between the Guanica and Susua forest reserves. This knowledge is central to conservation design, particularly in ever changing insular landscapes.</p><p><strong>Location</strong></p><p>South-western Puerto Rico.</p><p><strong>Methods</strong></p><p>We used a multiseason occupancy modelling approach to quantify seasonal estimates of occupancy, and colonization and extinction rates of seven resident avian species surveyed over five seasons from January 2010 to June 2011. We modelled parameters by matrix type, expressions of survey station isolation, quality, amount of forest cover and context (embedded in forest patch).</p><p><strong>Results</strong></p><p>Seasonal occupancy remained stable throughout the study for all species, consistent with seasonally constant colonization and extinction probabilities. Occupancy was mediated by matrix type, higher in reserves and forested matrix than in the urban and agricultural matrices. This pattern is in accord with the forest affinities of all but an open-habitat specialist. Puerto Rican Spindalis (<i>Spindalis portoricensis</i>) exhibited high occupancy in the urban matrix, highlighting the adaptability of some insular species to novel environments. Highest colonization rates occurred when perching structures were at ≤&nbsp;500&nbsp;m. Survey stations with at least three fruiting tree species and 61% forest cover exhibited lowest seasonal extinction rates.</p><p><strong>Main conclusions</strong></p><p>Our work identified habitat features that influenced seasonal probabilities of colonization and extinction in a human-modified landscape. Conservation design decisions are better informed with increased knowledge about interpatch distances to improve matrix permeability, and habitat features that increase persistence or continued use of habitat stepping stones. A focus on dynamic processes is valuable because conservation actions directly influence colonization and extinction rates, and thus, a quantitative means to gauge their benefit.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12415","usgsCitation":"Irizarry, J.I., Collazo, J., and Dinsmore, S., 2016, Occupancy dynamics in human-modified landscapes in a tropical island: implications for conservation design: Diversity and Distributions, v. 22, no. 4, p. 410-421, https://doi.org/10.1111/ddi.12415.","productDescription":"12 p.","startPage":"410","endPage":"421","ipdsId":"IP-065011","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12415","text":"Publisher Index Page"},{"id":349195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.99943542480469,\n              17.960444861640777\n            ],\n            [\n              -66.80477142333984,\n              17.960444861640777\n            ],\n            [\n              -66.80477142333984,\n              18.10865552119356\n            ],\n            [\n              -66.99943542480469,\n              18.10865552119356\n            ],\n            [\n              -66.99943542480469,\n              17.960444861640777\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-04","publicationStatus":"PW","scienceBaseUri":"5a60fd5ae4b06e28e9c24b9b","contributors":{"authors":[{"text":"Irizarry, Julissa I.","contributorId":141056,"corporation":false,"usgs":false,"family":"Irizarry","given":"Julissa","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":723028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":718100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinsmore, Stephen J.","contributorId":61718,"corporation":false,"usgs":true,"family":"Dinsmore","given":"Stephen J.","affiliations":[],"preferred":false,"id":723029,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190336,"text":"70190336 - 2016 - Seasonal habitat use of brook trout and juvenile steelhead in a Lake Ontario tributary","interactions":[],"lastModifiedDate":"2017-08-26T13:47:28","indexId":"70190336","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal habitat use of brook trout and juvenile steelhead in a Lake Ontario tributary","docAbstract":"<p><span>Brook trout (</span><i>Salvelinus fontinalis</i><span>) are generally restricted to headwaters in New York tributaries of Lake Ontario. In only a few streams are brook trout abundant in lower stream reaches that are accessible to adult Pacific salmonids migrating from the lake. Consequently, because of the rarity of native brook trout populations in these lower stream reaches it is important to understand how they use stream habitat in sympatry with juvenile Pacific salmonids which are now naturalized in several Lake Ontario tributaries. In this study, we examined the seasonal (spring, summer, and fall) habitat use of brook trout and juvenile steelhead (</span><i>Oncorhynchus mykiss</i><span>) in Hart Brook, a tributary of eastern Lake Ontario. We found interspecific, intraspecific, and seasonal variation in habitat use. Subyearling steelhead were associated with faster water velocities than subyearling brook trout and, overall, had the least habitat similarity to the other salmonid groups examined. Overyearling brook trout and yearling steelhead exhibited the greatest degree of habitat selection and habitat selection by all four salmonid groups was greatest in summer. The availability of pool habitat for overyearling salmonids may pose the largest impediment to these species in Hart Brook.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2015.1123655","usgsCitation":"Johnson, J.H., Abbett, R., Chalupnicki, M.A., and Verdoliva, F., 2016, Seasonal habitat use of brook trout and juvenile steelhead in a Lake Ontario tributary: Journal of Freshwater Ecology, v. 31, no. 2, p. 239-249, https://doi.org/10.1080/02705060.2015.1123655.","productDescription":"11 p.","startPage":"239","endPage":"249","ipdsId":"IP-070095","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":471366,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2015.1123655","text":"Publisher Index Page"},{"id":345159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2016-01-27","publicationStatus":"PW","scienceBaseUri":"59a288c9e4b077f0056692af","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":708508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbett, Ross 0000-0001-6276-5541 rabbett@usgs.gov","orcid":"https://orcid.org/0000-0001-6276-5541","contributorId":4359,"corporation":false,"usgs":true,"family":"Abbett","given":"Ross","email":"rabbett@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":708509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalupnicki, Marc A. mchalupnicki@usgs.gov","contributorId":3236,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":708510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verdoliva, Francis","contributorId":150381,"corporation":false,"usgs":false,"family":"Verdoliva","given":"Francis","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":708511,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193717,"text":"70193717 - 2016 - Volcano deformation source parameters estimated from InSAR: Sensitivities to uncertainties in seismic tomography","interactions":[],"lastModifiedDate":"2017-11-05T17:35:45","indexId":"70193717","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Volcano deformation source parameters estimated from InSAR: Sensitivities to uncertainties in seismic tomography","docAbstract":"<p>The eruption cycle of a volcano is controlled in part by the upward migration of magma. The characteristics of the magma flux produce a deformation signature at the Earth's surface. Inverse analyses use geodetic data to estimate strategic controlling parameters that describe the position and pressurization of a magma chamber at depth. The specific distribution of material properties controls how observed surface deformation translates to source parameter estimates. Seismic tomography models describe the spatial distributions of material properties that are necessary for accurate models of volcano deformation. This study investigates how uncertainties in seismic tomography models propagate into variations in the estimates of volcano deformation source parameters inverted from geodetic data. We conduct finite element model-based nonlinear inverse analyses of interferometric synthetic aperture radar (InSAR) data for Okmok volcano, Alaska, as an example. We then analyze the estimated parameters and their uncertainties to characterize the magma chamber. Analyses are performed separately for models simulating a pressurized chamber embedded in a homogeneous domain as well as for a domain having a heterogeneous distribution of material properties according to seismic tomography. The estimated depth of the source is sensitive to the distribution of material properties. The estimated depths for the homogeneous and heterogeneous domains are 2666 ± 42 and 3527 ± 56 m below mean sea level, respectively (99% confidence). A Monte Carlo analysis indicates that uncertainties of the seismic tomography cannot account for this discrepancy at the 99% confidence level. Accounting for the spatial distribution of elastic properties according to seismic tomography significantly improves the fit of the deformation model predictions and significantly influences estimates for parameters that describe the location of a pressurized magma chamber.</p>","language":"English","publisher":"AGU","doi":"10.1002/2015JB012656","usgsCitation":"Masterlark, T., Donovan, T., Feigl, K.L., Haney, M.M., Thurber, C.H., and Tung, S., 2016, Volcano deformation source parameters estimated from InSAR: Sensitivities to uncertainties in seismic tomography: Journal of Geophysical Research B: Solid Earth, v. 121, no. 4, p. 3002-3016, https://doi.org/10.1002/2015JB012656.","productDescription":"15 p.","startPage":"3002","endPage":"3016","ipdsId":"IP-070835","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012656","text":"Publisher Index Page"},{"id":348198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-15","publicationStatus":"PW","scienceBaseUri":"5a003152e4b0531197b5a754","contributors":{"authors":[{"text":"Masterlark, Timothy","contributorId":92829,"corporation":false,"usgs":false,"family":"Masterlark","given":"Timothy","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":720036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Theodore","contributorId":199783,"corporation":false,"usgs":false,"family":"Donovan","given":"Theodore","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":720037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feigl, Kurt L.","contributorId":147758,"corporation":false,"usgs":false,"family":"Feigl","given":"Kurt","email":"","middleInitial":"L.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":720038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":720035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":720039,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tung, Sui","contributorId":199785,"corporation":false,"usgs":false,"family":"Tung","given":"Sui","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":720040,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194315,"text":"70194315 - 2016 - Isotopic incorporation and the effects of fasting and dietary lipid content on isotopic discrimination in large carnivorous mammals","interactions":[],"lastModifiedDate":"2017-11-22T11:36:42","indexId":"70194315","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3075,"text":"Physiological and Biochemical Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic incorporation and the effects of fasting and dietary lipid content on isotopic discrimination in large carnivorous mammals","docAbstract":"<p><span>There has been considerable emphasis on understanding isotopic discrimination for diet estimation in omnivores. However, discrimination may differ for carnivores, particularly species that consume lipid-rich diets. Here, we examined the potential implications of several factors when using stable isotopes to estimate the diets of bears, which can consume lipid-rich diets and, alternatively, fast for weeks to months. We conducted feeding trials with captive brown bears (</span><i>Ursus arctos</i><span>) and polar bears (</span><i>Ursus maritimus</i><span>). As dietary lipid content increased to ∼90%, we observed increasing differences between blood plasma and diets that had not been lipid extracted (∆</span><sup>13</sup><span>C</span><sub>tissue-bulk diet</sub><span>) and slightly decreasing differences between plasma δ</span><sup>13</sup><span>C and lipid-extracted diet. Plasma Δ</span><sup>15</sup><span>N</span><sub>tissue-bulk diet</sub><span><span>&nbsp;</span>increased with increasing protein content for the four polar bears in this study and data for other mammals from previous studies that were fed purely carnivorous diets. Four adult and four yearling brown bears that fasted 120 d had plasma δ</span><sup>15</sup><span>N values that changed by &lt;±2‰. Fasting bears exhibited no trend in plasma δ</span><sup>13</sup><span>C. Isotopic incorporation in red blood cells and whole blood was ≥6 mo in subadult and adult bears, which is considerably longer than previously measured in younger and smaller black bears (</span><i>Ursus americanus</i><span>). Our results suggest that short-term fasting in carnivores has minimal effects on δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N discrimination between predators and their prey but that dietary lipid content is an important factor directly affecting δ</span><sup>13</sup><span>C discrimination and indirectly affecting δ</span><sup>15</sup><span>N discrimination via the inverse relationship with dietary protein content.</span></p>","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/686490","usgsCitation":"Rode, K.D., Stricker, C.A., Erlenbach, J., Robbins, C.T., Cherry, S., Newsome, S.D., Cutting, A., Jensen, S., Stenhouse, G., Brooks, M., Hash, A., and Nicassio, N., 2016, Isotopic incorporation and the effects of fasting and dietary lipid content on isotopic discrimination in large carnivorous mammals: Physiological and Biochemical Zoology, v. 89, no. 3, p. 182-197, https://doi.org/10.1086/686490.","productDescription":"16 p.","startPage":"182","endPage":"197","ipdsId":"IP-064971","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":438622,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79W0CJ3","text":"USGS data release","linkHelpText":"Stable Isotope Data from Diets and Tissues of Captive Bears Fed Experimental Diets"},{"id":349267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd5ae4b06e28e9c24b97","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":723248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erlenbach, Joy","contributorId":200750,"corporation":false,"usgs":false,"family":"Erlenbach","given":"Joy","affiliations":[],"preferred":false,"id":723249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Charles T.","contributorId":124585,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":723250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cherry, Seth","contributorId":200753,"corporation":false,"usgs":false,"family":"Cherry","given":"Seth","email":"","affiliations":[],"preferred":false,"id":723254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newsome, Seth D.","contributorId":81640,"corporation":false,"usgs":false,"family":"Newsome","given":"Seth","email":"","middleInitial":"D.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":723253,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cutting, Amy","contributorId":200751,"corporation":false,"usgs":false,"family":"Cutting","given":"Amy","email":"","affiliations":[],"preferred":false,"id":723251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jensen, Shannon","contributorId":200752,"corporation":false,"usgs":false,"family":"Jensen","given":"Shannon","affiliations":[],"preferred":false,"id":723252,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stenhouse, Gordon","contributorId":167054,"corporation":false,"usgs":false,"family":"Stenhouse","given":"Gordon","email":"","affiliations":[{"id":24604,"text":"Foothills Research Institute","active":true,"usgs":false}],"preferred":false,"id":723255,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brooks, Matt","contributorId":200754,"corporation":false,"usgs":false,"family":"Brooks","given":"Matt","affiliations":[],"preferred":false,"id":723256,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hash, Amy","contributorId":200755,"corporation":false,"usgs":false,"family":"Hash","given":"Amy","email":"","affiliations":[],"preferred":false,"id":723257,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nicassio, Nicole","contributorId":200756,"corporation":false,"usgs":false,"family":"Nicassio","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":723258,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70189237,"text":"70189237 - 2016 - Evidence for partial melt in the crust beneath Mt. Paektu (Changbaishan), Democratic People’s Republic of Korea and China","interactions":[],"lastModifiedDate":"2017-07-06T13:21:12","indexId":"70189237","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for partial melt in the crust beneath Mt. Paektu (Changbaishan), Democratic People’s Republic of Korea and China","docAbstract":"<p><span>Mt. Paektu (also known as Changbaishan) is an enigmatic volcano on the border between the Democratic People’s Republic of Korea (DPRK) and China. Despite being responsible for one of the largest eruptions in history, comparatively little is known about its magmatic evolution, geochronology, or underlying structure. We present receiver function results from an unprecedented seismic deployment in the DPRK. These are the first estimates of the crustal structure on the DPRK side of the volcano and, indeed, for anywhere beneath the DPRK. The crust 60 km from the volcano has a thickness of 35 km and a bulk&nbsp;</span><i>V</i><sub>P</sub><span>/</span><i>V</i><sub>S</sub><span><span>&nbsp;</span>of 1.76, similar to that of the Sino-Korean craton. The<span>&nbsp;</span></span><i>V</i><sub>P</sub><span>/</span><i>V</i><sub>S</sub><span><span>&nbsp;</span>ratio increases ~20 km from the volcano, rising to &gt;1.87 directly beneath the volcano. This shows that a large region of the crust has been modified by magmatism associated with the volcanism. Such high values of<span>&nbsp;</span></span><i>V</i><sub>P</sub><span>/</span><i>V</i><sub>S</sub><span><span>&nbsp;</span>suggest that partial melt is present in the crust beneath Mt. Paektu. This region of melt represents a potential source for magmas erupted in the last few thousand years and may be associated with an episode of volcanic unrest observed between 2002 and 2005.</span></p>","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.1501513","usgsCitation":"Kyong-Song, R., Hammond, J., Chol-Nam, K., Hyok, K., Yong-Gun, Y., Gil-Jong, P., Chong-Song, R., Oppenheimer, C., Liu, K.W., Iacovino, K.D., and Kum-Ran, R., 2016, Evidence for partial melt in the crust beneath Mt. Paektu (Changbaishan), Democratic People’s Republic of Korea and China: Science Advances, v. 2, no. 4, e1501513; 6 p., https://doi.org/10.1126/sciadv.1501513.","productDescription":"e1501513; 6 p.","ipdsId":"IP-071512","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1501513","text":"Publisher Index Page"},{"id":343418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China,  Democratic People’s Republic of Korea","otherGeospatial":"Mt. Paektu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              129,\n              41.8\n            ],\n            [\n              127.8,\n              41.8\n            ],\n            [\n              127.8,\n              42.2\n            ],\n            [\n              129,\n              42.2\n            ],\n            [\n              129,\n              41.8\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c3fe4b0d1f9f057e34c","contributors":{"authors":[{"text":"Kyong-Song, Ri","contributorId":194279,"corporation":false,"usgs":false,"family":"Kyong-Song","given":"Ri","email":"","affiliations":[],"preferred":false,"id":703651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammond, James O. S.","contributorId":194280,"corporation":false,"usgs":false,"family":"Hammond","given":"James O. S.","affiliations":[],"preferred":false,"id":703652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chol-Nam, Ko","contributorId":194281,"corporation":false,"usgs":false,"family":"Chol-Nam","given":"Ko","email":"","affiliations":[],"preferred":false,"id":703653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyok, Kim","contributorId":194282,"corporation":false,"usgs":false,"family":"Hyok","given":"Kim","email":"","affiliations":[],"preferred":false,"id":703654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yong-Gun, Yun","contributorId":194283,"corporation":false,"usgs":false,"family":"Yong-Gun","given":"Yun","email":"","affiliations":[],"preferred":false,"id":703655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gil-Jong, Pak","contributorId":194284,"corporation":false,"usgs":false,"family":"Gil-Jong","given":"Pak","email":"","affiliations":[],"preferred":false,"id":703656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chong-Song, Ri","contributorId":194285,"corporation":false,"usgs":false,"family":"Chong-Song","given":"Ri","email":"","affiliations":[],"preferred":false,"id":703657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oppenheimer, Clive","contributorId":174445,"corporation":false,"usgs":false,"family":"Oppenheimer","given":"Clive","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":703658,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Kosima W.","contributorId":194287,"corporation":false,"usgs":false,"family":"Liu","given":"Kosima","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":703659,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Iacovino, Kayla D. kiacovino@usgs.gov","contributorId":5737,"corporation":false,"usgs":true,"family":"Iacovino","given":"Kayla","email":"kiacovino@usgs.gov","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":703650,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kum-Ran, Ryu","contributorId":194288,"corporation":false,"usgs":false,"family":"Kum-Ran","given":"Ryu","email":"","affiliations":[],"preferred":false,"id":703660,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70189512,"text":"70189512 - 2016 - Aeshnid dragonfly larvae as bioindicators of methylmercury contamination in aquatic systems impacted by elevated sulfate loading","interactions":[],"lastModifiedDate":"2017-07-14T10:36:43","indexId":"70189512","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Aeshnid dragonfly larvae as bioindicators of methylmercury contamination in aquatic systems impacted by elevated sulfate loading","docAbstract":"<p><span>Methylmercury (MeHg) levels in dragonfly larvae and water were measured over two years in aquatic systems impacted to varying degrees by sulfate releases related to iron mining activity. This study examined the impact of elevated sulfate loads on MeHg concentrations and tested the use of MeHg in dragonfly larvae as an indicator of MeHg levels in a range of aquatic systems including 16 river/stream sites and two lakes. MeHg concentrations in aeshnid dragonfly larvae were positively correlated (</span><i class=\"EmphasisTypeItalic \">R</i><sup>2</sup><span>&nbsp;=&nbsp;0.46,<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">p</i><span>&nbsp;&lt;&nbsp;0.01) to peak MeHg concentrations in the dissolved phase for the combined years of 2012 and 2013. This relation was strong in 2012 (</span><i class=\"EmphasisTypeItalic \">R</i><sup>2</sup><span>&nbsp;=&nbsp;0.85,<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">p</i><span>&nbsp;&lt;&nbsp;0.01), but showed no correlation in 2013 (</span><i class=\"EmphasisTypeItalic \">R</i><sup>2</sup><span>&nbsp;=&nbsp;0.02,<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">p</i><span>&nbsp;&gt;&nbsp;0.05). MeHg in dragonfly larvae were not elevated at the highest sulfate sites, but rather the reverse was generally observed. Record rainfall events in 2012 and above average rainfall in 2013 likely delivered the majority of Hg and MeHg to these systems via interflow and activated groundwater flow through reduced sediments. As a result, the impacts of elevated sulfate releases due to mining activities were not apparent in these systems where little of the sulfate is reduced. Lower bioaccumulation factors for MeHg in aeshnid dragonfly larvae were observed with increasing dissolved organic carbon (DOC) concentrations. This finding is consistent with previous studies showing that MeHg in high DOC systems is less bioavailable; an equilibrium model shows that more MeHg being associated with DOC rather than algae at the base of the food chain readily explains the lower bioaccumulation factors.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-015-1603-9","usgsCitation":"Jeremiason, J.D., Reiser, T.K., Weitz, R.A., Berndt, M., and Aiken, G.R., 2016, Aeshnid dragonfly larvae as bioindicators of methylmercury contamination in aquatic systems impacted by elevated sulfate loading: Ecotoxicology, v. 25, no. 3, p. 456-468, https://doi.org/10.1007/s10646-015-1603-9.","productDescription":"13 p.","startPage":"456","endPage":"468","ipdsId":"IP-071234","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2016-01-06","publicationStatus":"PW","scienceBaseUri":"5969d82be4b0d1f9f060a18c","contributors":{"authors":[{"text":"Jeremiason, Jeffrey D.","contributorId":7146,"corporation":false,"usgs":true,"family":"Jeremiason","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":704977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reiser, T. K.","contributorId":194673,"corporation":false,"usgs":false,"family":"Reiser","given":"T.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":704978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weitz, R. A.","contributorId":194674,"corporation":false,"usgs":false,"family":"Weitz","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berndt, M.E.","contributorId":78487,"corporation":false,"usgs":true,"family":"Berndt","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":704980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":704981,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189239,"text":"70189239 - 2016 - Erratum to Surface‐wave green’s tensors in the near field","interactions":[],"lastModifiedDate":"2017-07-06T12:45:16","indexId":"70189239","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Erratum to Surface‐wave green’s tensors in the near field","docAbstract":"<p>Haney and Nakahara (2014) derived expressions for surface‐wave Green’s tensors that included near‐field behavior. Building on the result for a force source, Haney and Nakahara (2014) further derived expressions for a general point moment tensor source using the exact Green’s tensors. However, it has come to our attention that, although the Green’s tensors were correct, the resulting expressions for a general point moment tensor source were missing some terms. In this erratum, we provide updated expressions with these missing terms. The inclusion of the missing terms changes the example given in Haney and Nakahara (2014).</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150349","usgsCitation":"Haney, M.M., and Hisashi Nakahara, 2016, Erratum to Surface‐wave green’s tensors in the near field: Bulletin of the Seismological Society of America, v. 106, no. 2, p. 816-818, https://doi.org/10.1785/0120150349.","productDescription":"3 p.","startPage":"816","endPage":"818","ipdsId":"IP-071737","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":343410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-16","publicationStatus":"PW","scienceBaseUri":"595f4c3ee4b0d1f9f057e348","contributors":{"authors":[{"text":"Haney, Matthew M. mhaney@usgs.gov","contributorId":2943,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":703668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hisashi Nakahara","contributorId":194295,"corporation":false,"usgs":false,"family":"Hisashi Nakahara","affiliations":[],"preferred":false,"id":703669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188443,"text":"70188443 - 2016 - A multiagency and multijurisdictional approach to mapping the glacial deposits of the Great Lakes region in three dimensions","interactions":[],"lastModifiedDate":"2017-06-09T13:48:14","indexId":"70188443","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"A multiagency and multijurisdictional approach to mapping the glacial deposits of the Great Lakes region in three dimensions","docAbstract":"<p><span>The Great Lakes Geologic Mapping Coalition (GLGMC), consisting of state geological surveys from all eight Great Lakes states, the Ontario Geological Survey, and the U.S. Geological Survey, was conceived out of a societal need for unbiased and scientifically defensible geologic information on the shallow subsurface, particularly the delineation, interpretation, and viability of groundwater resources. Only a small percentage (&lt;10%) of the region had been mapped in the subsurface, and there was recognition that no single agency had the financial, intellectual, or physical resources to conduct such a massive geologic mapping effort at a detailed scale over a wide jurisdiction. The GLGMC provides a strategy for generating financial and stakeholder support for three-dimensional (3-D) geologic mapping, pooling of physical and personnel resources, and sharing of mapping and technological expertise to characterize the thick cover of glacial sediments. Since its inception in 1997, the GLGMC partners have conducted detailed surficial and 3-D geologic mapping within all jurisdictions, and concurrent significant scientific advancements have been made to increase understanding of the history and framework of geologic processes. More importantly, scientific information has been provided to public policymakers in understandable formats, emphasis has been placed on training early-career scientists in new mapping techniques and emerging technologies, and a successful model has been developed of state/provincial and federal collaboration focused on geologic mapping, as evidenced by this program's unprecedented and long-term successful experiment of 10 geological surveys working together to address common issues.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.2520(37)","usgsCitation":"Berg, R.C., Brown, S.E., Thomason, J.F., Hasenmueller, N.R., Letsinger, S.L., Kincare, K.A., Esch, J.M., Kehew, A.E., Thorleifson, H., Kozlowski, A., Bird, B.C., Pavey, R.R., Bajc, A.F., Burt, A.K., Fleeger, G.M., and Carson, E.C., 2016, A multiagency and multijurisdictional approach to mapping the glacial deposits of the Great Lakes region in three dimensions: GSA Special Papers, v. 520, p. 415-447, https://doi.org/10.1130/2016.2520(37).","productDescription":"33 p.","startPage":"415","endPage":"447","ipdsId":"IP-061912","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"520","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593bb3a4e4b0764e6c60e7c5","contributors":{"authors":[{"text":"Berg, Richard C.","contributorId":192821,"corporation":false,"usgs":false,"family":"Berg","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":697783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Steven E.","contributorId":192822,"corporation":false,"usgs":false,"family":"Brown","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":697784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomason, Jason F.","contributorId":192823,"corporation":false,"usgs":false,"family":"Thomason","given":"Jason","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":697785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hasenmueller, Nancy R.","contributorId":192824,"corporation":false,"usgs":false,"family":"Hasenmueller","given":"Nancy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":697786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Letsinger, Sally L.","contributorId":192825,"corporation":false,"usgs":false,"family":"Letsinger","given":"Sally","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":697787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kincare, Kevin A. 0000-0002-1050-3627 kkincare@usgs.gov","orcid":"https://orcid.org/0000-0002-1050-3627","contributorId":2106,"corporation":false,"usgs":true,"family":"Kincare","given":"Kevin","email":"kkincare@usgs.gov","middleInitial":"A.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":697782,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Esch, John M.","contributorId":192826,"corporation":false,"usgs":false,"family":"Esch","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":697788,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kehew, Alan E.","contributorId":192827,"corporation":false,"usgs":false,"family":"Kehew","given":"Alan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":697789,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorleifson, Harvey 0000-0001-7160-255X","orcid":"https://orcid.org/0000-0001-7160-255X","contributorId":192828,"corporation":false,"usgs":false,"family":"Thorleifson","given":"Harvey","email":"","affiliations":[{"id":38105,"text":"Minnesota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":697790,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kozlowski, Andrew","contributorId":192829,"corporation":false,"usgs":false,"family":"Kozlowski","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":697791,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bird, Brian C.","contributorId":192830,"corporation":false,"usgs":false,"family":"Bird","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":697792,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pavey, Richard R.","contributorId":192831,"corporation":false,"usgs":false,"family":"Pavey","given":"Richard","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":697793,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bajc, Andy F.","contributorId":192832,"corporation":false,"usgs":false,"family":"Bajc","given":"Andy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":697794,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Burt, Abigail K.","contributorId":192833,"corporation":false,"usgs":false,"family":"Burt","given":"Abigail","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":697795,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Fleeger, Gary M.","contributorId":192834,"corporation":false,"usgs":false,"family":"Fleeger","given":"Gary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":697796,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Carson, Eric C.","contributorId":192835,"corporation":false,"usgs":false,"family":"Carson","given":"Eric","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":697797,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70186184,"text":"70186184 - 2016 - Late Holocene expansion of Ponderosa pine (Pinus ponderosa) in the Central Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2017-03-31T10:27:47","indexId":"70186184","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","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":"Late Holocene expansion of Ponderosa pine (Pinus ponderosa) in the Central Rocky Mountains, USA","docAbstract":"\"Aim: Ponderosa pine (Pinus ponderosa) experienced one of the most extensive and rapid post-glacial plant migrations in western North America. We used plant macrofossils from woodrat (Neotoma) middens to reconstruct its spread in the Central Rocky Mountains, identify other vegetation changes coinciding with P. ponderosa expansion at the same sites, and relate P. ponderosa migrational history to both its modern phylogeography and to a parallel expansion by Utah juniper (Juniperus osteosperma).\nLocation: Central Rocky Mountains, Wyoming and Montana, and Black Hills, Wyoming and South Dakota, USA.\nMethods: Plant macrofossils were analyzed in 90 middens collected at 14 widely separated sites in the northern part of the range of P. ponderosa var. scopulorum. Middens with and without P. ponderosa were 14C dated to pinpoint time of appearance at each site. Sensitivity experiments using a bioclimatic model were used to evaluate potential climatic drivers of late Holocene expansion.\nResults: P. ponderosa colonized the Black Hills region by at least 3850 yr BP (all ages given in calendar years before present).  It expanded into the eastern Bighorn Mountains of northern Wyoming by 2630 yr BP, quickly spreading north in the western Bighorns from 1400 to 1000 yr BP. Concurrent with the latter expansion, P. ponderosa spread c. ~350 km to the Little Belt and Big Belt Mountains in western Montana, establishing its northern limit and the modern introgression zone between var. scopulorum and var. ponderosa. Expansion in the Central Rockies of P. ponderosa involved two known haplotypes.\nMain conclusions: P. ponderosa expanded its range across large parts of northern Wyoming and central Montana during the late Holocene, probably in response to both northward and westward increases in summer temperature and rainfall. The underlying climatic driver may be the same as for the contemporaneous expansion of J. osteosperma, but will remain undetermined without focused development and integration of independent palaeoclimate records in the region.\"","language":"English","publisher":"Wiley","doi":"10.1111/jbi.12670","usgsCitation":"Norris, J.R., Betancourt, J.L., and Jackson, S., 2016, Late Holocene expansion of Ponderosa pine (Pinus ponderosa) in the Central Rocky Mountains, USA: Journal of Biogeography, v. 43, no. 4, p. 778-790, https://doi.org/10.1111/jbi.12670.","productDescription":"3 p.","startPage":"778","endPage":"790","ipdsId":"IP-065920","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338875,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/jbi.12670/full"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, South Dakota, Oregon, Utah, Washington, Wyoming","otherGeospatial":"Central Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.150390625,\n              47.18971246448421\n            ],\n            [\n              -104.501953125,\n              47.21956811231547\n            ],\n            [\n              -112.2802734375,\n              49.06666839558117\n            ],\n            [\n              -121.86035156249999,\n              49.009050809382046\n            ],\n            [\n              -124.541015625,\n              47.635783590864854\n            ],\n            [\n              -124.8486328125,\n              43.644025847699496\n            ],\n            [\n              -123.22265625000001,\n              36.80928470205937\n            ],\n            [\n              -116.93847656250001,\n              32.69486597787505\n            ],\n            [\n              -115.09277343749999,\n              32.731840896865684\n            ],\n            [\n              -103.095703125,\n              32.58384932565662\n            ],\n            [\n              -103.271484375,\n              36.94989178681327\n            ],\n            [\n              -101.162109375,\n              40.1452892956766\n            ],\n            [\n              -101.29394531249999,\n              47.07012182383309\n            ],\n            [\n              -104.150390625,\n              47.18971246448421\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-14","publicationStatus":"PW","scienceBaseUri":"58df6ac1e4b02ff32c6aea3d","contributors":{"authors":[{"text":"Norris, Jodi R.","contributorId":190196,"corporation":false,"usgs":false,"family":"Norris","given":"Jodi","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":687784,"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":687783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, Stephen T.","contributorId":127411,"corporation":false,"usgs":false,"family":"Jackson","given":"Stephen T.","affiliations":[],"preferred":false,"id":687785,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160859,"text":"70160859 - 2016 - Seismic site characterization of an urban dedimentary basin, Livermore Valley, California:  Site tesponse, basin-edge-induced surface waves, and 3D simulations","interactions":[],"lastModifiedDate":"2016-06-29T11:05:08","indexId":"70160859","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Seismic site characterization of an urban dedimentary basin, Livermore Valley, California:  Site tesponse, basin-edge-induced surface waves, and 3D simulations","docAbstract":"<p><span>Thirty‐two accelerometers were deployed in the Livermore Valley, California, for approximately one year to study sedimentary basin effects. Many local and near‐regional earthquakes were recorded, including the 24 August 2014&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;6.0 Napa, California, earthquake. The resulting ground‐motion data set is used to quantify the seismic response of the Livermore basin, a major structural depression in the California Coast Range Province bounded by active faults. Site response is calculated by two methods: the reference‐site spectral ratio method and a source‐site spectral inversion method. Longer‐period (&ge;1&thinsp;&thinsp;s) amplification factors follow the same general pattern as Bouguer gravity anomaly contours. Site response spectra are inverted for shallow shear‐wave velocity profiles, which are consistent with independent information. Frequency&ndash;wavenumber analysis is used to analyze plane‐wave propagation across the Livermore Valley and to identify basin‐edge‐induced surface waves with back azimuths different from the source back azimuth. Finite‐element simulations in a 3D velocity model of the region illustrate the generation of basin‐edge‐induced surface waves and point out strips of elevated ground velocities along the margins of the basin.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150289","usgsCitation":"Hartzell, S.H., Leeds, A.L., Ramirez-Guzman, L., Allen, J.P., and Schmitt, R.G., 2016, Seismic site characterization of an urban dedimentary basin, Livermore Valley, California:  Site tesponse, basin-edge-induced surface waves, and 3D simulations: Bulletin of the Seismological Society of America, v. 103, no. 2, p. 609-631, https://doi.org/10.1785/0120150289.","productDescription":"23 p.","startPage":"609","endPage":"631","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071579","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":324604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-06","publicationStatus":"PW","scienceBaseUri":"5774f2c6e4b07dd077c6aa3f","contributors":{"authors":[{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":584071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leeds, Alena L. 0000-0002-8756-3687 aleeds@usgs.gov","orcid":"https://orcid.org/0000-0002-8756-3687","contributorId":4077,"corporation":false,"usgs":true,"family":"Leeds","given":"Alena","email":"aleeds@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":584072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez-Guzman, Leonardo","contributorId":151026,"corporation":false,"usgs":false,"family":"Ramirez-Guzman","given":"Leonardo","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":584073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, James P. jallen@usgs.gov","contributorId":4797,"corporation":false,"usgs":true,"family":"Allen","given":"James","email":"jallen@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":584074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmitt, Robert G. 0000-0001-8060-1954 rschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-1954","contributorId":5611,"corporation":false,"usgs":true,"family":"Schmitt","given":"Robert","email":"rschmitt@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":584075,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179445,"text":"70179445 - 2016 - Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity","interactions":[],"lastModifiedDate":"2017-01-03T11:21:55","indexId":"70179445","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity","docAbstract":"<p><span>The imminent demise of montane species is a recurrent theme in the climate change literature, particularly for aquatic species that are constrained to networks and elevational rather than latitudinal retreat as temperatures increase. Predictions of widespread species losses, however, have yet to be fulfilled despite decades of climate change, suggesting that trends are much weaker than anticipated and may be too subtle for detection given the widespread use of sparse water temperature datasets or imprecise surrogates like elevation and air temperature. Through application of large water-temperature databases evaluated for sensitivity to historical air-temperature variability and computationally interpolated to provide high-resolution thermal habitat information for a 222,000-km network, we estimate a less dire thermal plight for cold-water species within mountains of the northwestern United States. Stream warming rates and climate velocities were both relatively low for 1968–2011 (average warming rate = 0.101 °C/decade; median velocity = 1.07 km/decade) when air temperatures warmed at 0.21 °C/decade. Many cold-water vertebrate species occurred in a subset of the network characterized by low climate velocities, and three native species of conservation concern occurred in extremely cold, slow velocity environments (0.33–0.48 km/decade). Examination of aggressive warming scenarios indicated that although network climate velocities could increase, they remain low in headwaters because of strong local temperature gradients associated with topographic controls. Better information about changing hydrology and disturbance regimes is needed to complement these results, but rather than being climatic cul-de-sacs, many mountain streams appear poised to be redoubts for cold-water biodiversity this century.</span></p>","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1522429113","usgsCitation":"Isaak, D.J., Young, M.K., Luce, C.H., Hostetler, S.W., Wenger, S., Peterson, E.E., Ver Hoef, J., Groce, M.C., Horan, D.L., and Nagel, D.E., 2016, Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 16, p. 4374-4379, https://doi.org/10.1073/pnas.1522429113.","productDescription":"6 p.","startPage":"4374","endPage":"4379","ipdsId":"IP-072844","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":471098,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4843441","text":"External Repository"},{"id":332732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"16","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-04","publicationStatus":"PW","scienceBaseUri":"586cc697e4b0f5ce109fa957","contributors":{"authors":[{"text":"Isaak, Daniel J.","contributorId":177835,"corporation":false,"usgs":false,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":657245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Michael K.","contributorId":177836,"corporation":false,"usgs":false,"family":"Young","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":657246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luce, Charles H.","contributorId":177837,"corporation":false,"usgs":false,"family":"Luce","given":"Charles","email":"","middleInitial":"H.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":657247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":657244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":657248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Erin E.","contributorId":177839,"corporation":false,"usgs":false,"family":"Peterson","given":"Erin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ver Hoef, Jay","contributorId":177840,"corporation":false,"usgs":false,"family":"Ver Hoef","given":"Jay","affiliations":[],"preferred":false,"id":657250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Groce, Matthew C.","contributorId":177841,"corporation":false,"usgs":false,"family":"Groce","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":657251,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Horan, Dona L.","contributorId":36672,"corporation":false,"usgs":true,"family":"Horan","given":"Dona","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":657252,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nagel, David E.","contributorId":86887,"corporation":false,"usgs":true,"family":"Nagel","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657253,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70179162,"text":"70179162 - 2016 - 2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation","interactions":[],"lastModifiedDate":"2016-12-20T12:55:05","indexId":"70179162","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/EQD/NRR—2016/1200","title":"2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation","docAbstract":"<p>The National Park Service (NPS) manages the Nation’s most iconic destinations that attract millions of visitors from across the Nation and around the world. Trip-related spending by NPS visitors generates and supports a considerable amount of economic activity within park gateway communities. This economic effects analysis measures how NPS visitor spending cycles through local economies, generating business sales and supporting jobs and income.</p><p>In 2015, the National Park System received over 307.2 million recreation visits. NPS visitors spent \\$16.9 billion in local gateway regions (defined as communities within 60 miles of a park). The contribution of this spending to the national economy was 295 thousand jobs, \\$11.1 billion in labor income, \\$18.4 billion in value added, and \\$32.0 billion in economic output. The lodging sector saw the highest direct contributions with \\$5.2 billion in economic output directly contributed to local gateway economies nationally. The sector with the next greatest direct contributions was the restaurants and bar sector, with \\$3.4 billion in economic output directly contributed to local gateway economies nationally.</p><p>Results from the Visitor Spending Effects report series are available online via an interactive tool. Users can view year-by-year trend data and explore current year visitor spending, jobs, labor income, value added, and economic output effects by sector for national, state, and local economies. This interactive tool is available at http://go.nps.gov/vse.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Cullinane Thomas, C., and Koontz, L., 2016, 2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation: Natural Resource Report NPS/NRSS/EQD/NRR—2016/1200, v, 53 p.","productDescription":"v, 53 p.","numberOfPages":"62","ipdsId":"IP-074337","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":332338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332309,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/subjects/socialscience/vse.htm"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51bee4b01224f329b5eb","contributors":{"authors":[{"text":"Cullinane Thomas, Catherine M. 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":5281,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine M.","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":656250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":656251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178117,"text":"70178117 - 2016 - Evaluation of six NEHRP B/C crustal amplification models proposed for use in western North America","interactions":[],"lastModifiedDate":"2016-11-03T11:20:58","indexId":"70178117","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of six NEHRP B/C crustal amplification models proposed for use in western North America","docAbstract":"<p><span>We evaluate six crustal amplification models based on National Earthquake Hazards Reduction Program (NEHRP) B/C crustal profiles proposed for use in western North America (WNA) and often used in other active crustal regions where crustal properties are unknown. One of the models is based on an interpolation of generic rock velocity profiles previously proposed for WNA and central and eastern North America (CENA), in conjunction with material densities based on an updated velocity–density relationship. A second model is based on the velocity profile used to develop amplification factors for the Next Generation Attenuation (NGA)‐West2 project. A third model is based on a near‐surface velocity profile developed from the NGA‐West2 site database. A fourth model is based on velocity and density profiles originally proposed for use in CENA but recently used to represent crustal properties in California. We propose two alternatives to this latter model that more closely represent WNA crustal properties. We adopt a value of site attenuation (</span><i>κ</i><sub>0</sub><span>) for each model that is either recommended by the author of the model or proposed by us. Stochastic simulation is used to evaluate the Fourier amplification factors and their impact on response spectra associated with each model. Based on this evaluation, we conclude that among the available models evaluated in this study the NEHRP B/C amplification model of </span><span id=\"xref-ref-19-1\" class=\"xref-bibr\">Boore (2016)</span><span> best represents median crustal amplification in WNA, although the amplification models based on the crustal profiles of </span><span id=\"xref-ref-57-1\" class=\"xref-bibr\">Kamai <i>et&nbsp;al.</i> (2013</span><span>, 2016, unpublished manuscript, see </span><a id=\"xref-sec-9-1\" class=\"xref-sec\" href=\"http://www.bssaonline.org/content/106/2/673#sec-9\" data-mce-href=\"http://www.bssaonline.org/content/106/2/673#sec-9\">Data and Resources</a><span>) and </span><span id=\"xref-ref-81-1\" class=\"xref-bibr\">Yenier and Atkinson (2015)</span><span>, the latter adjusted to WNA crustal properties, can be used to represent epistemic uncertainty.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150242","usgsCitation":"Boore, D., and Campbell, K.W., 2016, Evaluation of six NEHRP B/C crustal amplification models proposed for use in western North America: Bulletin of the Seismological Society of America, v. 106, no. 2, p. 673-686, https://doi.org/10.1785/0120150242.","productDescription":"14 p.","startPage":"673","endPage":"686","ipdsId":"IP-069474","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":330686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-16","publicationStatus":"PW","scienceBaseUri":"581c4cc3e4b09688d6e90fbd","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":652849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Kenneth W.","contributorId":74391,"corporation":false,"usgs":false,"family":"Campbell","given":"Kenneth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":652850,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179637,"text":"70179637 - 2016 - Basin scale controls on CO<sub>2</sub> and CH<sub>4</sub> emissions from the Upper Mississippi River","interactions":[],"lastModifiedDate":"2017-01-09T11:30:46","indexId":"70179637","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","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":"Basin scale controls on CO<sub>2</sub> and CH<sub>4</sub> emissions from the Upper Mississippi River","docAbstract":"<p><span>The Upper Mississippi River, engineered for river navigation in the 1930s, includes a series of low-head dams and navigation pools receiving elevated sediment and nutrient loads from the mostly agricultural basin. Using high-resolution, spatially resolved water quality sensor measurements along 1385 river kilometers, we show that primary productivity and organic matter accumulation affect river carbon dioxide and methane emissions to the atmosphere. Phytoplankton drive CO</span><sub>2</sub><span>to near or below atmospheric equilibrium during the growing season, while anaerobic carbon oxidation supports a large proportion of the CO</span><sub>2</sub><span> and CH</span><sub>4</sub><span> production. Reductions of suspended sediment load, absent of dramatic reductions in nutrients, will likely further reduce net CO</span><sub>2</sub><span>emissions from the river. Large river pools, like Lake Pepin, which removes the majority of upstream sediments, and large agricultural tributaries downstream that deliver significant quantities of sediments and nutrients, are likely to persist as major geographical drivers of greenhouse gas emissions.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2015GL067599","usgsCitation":"Crawford, J.T., Loken, L., Stanley, E.H., Stets, E., Dornblaser, M.M., and Striegl, R.G., 2016, Basin scale controls on CO<sub>2</sub> and CH<sub>4</sub> emissions from the Upper Mississippi River: Geophysical Research Letters, v. 43, no. 5, p. 1973-1979, https://doi.org/10.1002/2015GL067599.","productDescription":"7 p.","startPage":"1973","endPage":"1979","ipdsId":"IP-071715","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471101,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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