{"pageNumber":"929","pageRowStart":"23200","pageSize":"25","recordCount":184904,"records":[{"id":70195102,"text":"70195102 - 2017 - Investigating seagrass in Toxoplasma gondii transmission in Florida (Trichechus manatus latirostris) and Antillean (T. m. manatus) manatees","interactions":[],"lastModifiedDate":"2018-02-07T13:38:45","indexId":"70195102","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Investigating seagrass in Toxoplasma gondii transmission in Florida (Trichechus manatus latirostris) and Antillean (T. m. manatus) manatees","title":"Investigating seagrass in Toxoplasma gondii transmission in Florida (Trichechus manatus latirostris) and Antillean (T. m. manatus) manatees","docAbstract":"Toxoplasma gondii is a feline protozoan reported to cause morbidity and mortality in manatees and other marine mammals. Given the herbivorous nature of manatees, ingestion of oocysts from contaminated water or seagrass is presumed to be their primary mode of infection. The objectives of this study were to investigate oocyst contamination of seagrass beds in Puerto Rico and determine the seroprevalence of T. gondii in Antillean (Trichechus manatus manatus) and Florida (T. m. latirostris) manatees. Sera or plasma from Antillean (n = 5) and Florida (n = 351) manatees were tested for T. gondii antibodies using the modified agglutination test. No T. gondii DNA was detected via PCR in seagrass samples (n = 33) collected from Puerto Rico. Seroprevalence was 0%, suggesting a lower prevalence of T. gondii in these manatee populations than previously reported. This was the first study to investigate the potential oocyst contamination of the manatee diet, and similar studies are important for understanding the epidemiology of T. gondii in herbivorous marine mammals.
","language":"English","publisher":"Inter-Research","doi":"10.3354/dao03181","usgsCitation":"Wyrosdick, H.M., Gerhold, R.W., Su, C., Mignucci-Giannoni, A.A., Bonde, R.K., Chapman, A., Riviera-Perez, C., Martinez, J., and Miller, D.L., 2017, Investigating seagrass in Toxoplasma gondii transmission in Florida (Trichechus manatus latirostris) and Antillean (T. m. manatus) manatees: Diseases of Aquatic Organisms, v. 127, no. 1, p. 65-69, https://doi.org/10.3354/dao03181.","productDescription":"5 p.","startPage":"65","endPage":"69","ipdsId":"IP-086147","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469270,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao03181","text":"Publisher Index Page"},{"id":351276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e7ae4b00f54eb229330","contributors":{"authors":[{"text":"Wyrosdick, Heidi M.","contributorId":201769,"corporation":false,"usgs":false,"family":"Wyrosdick","given":"Heidi","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":726932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerhold, Richard W.","contributorId":201770,"corporation":false,"usgs":false,"family":"Gerhold","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":726933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Su, Chunlei","contributorId":167590,"corporation":false,"usgs":false,"family":"Su","given":"Chunlei","email":"","affiliations":[{"id":24765,"text":"University of Tennessee, Department of Microbiology, Knoxville, TN 37996-0845","active":true,"usgs":false}],"preferred":false,"id":726934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mignucci-Giannoni, Antonio A.","contributorId":201773,"corporation":false,"usgs":false,"family":"Mignucci-Giannoni","given":"Antonio","email":"","middleInitial":"A.","affiliations":[{"id":36251,"text":"Interamerican University of Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":726938,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chapman, Alycia","contributorId":201771,"corporation":false,"usgs":false,"family":"Chapman","given":"Alycia","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":726935,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riviera-Perez, Carla","contributorId":201774,"corporation":false,"usgs":false,"family":"Riviera-Perez","given":"Carla","affiliations":[{"id":36251,"text":"Interamerican University of Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":726939,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martinez, Jessica","contributorId":201772,"corporation":false,"usgs":false,"family":"Martinez","given":"Jessica","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":726936,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Debra L.","contributorId":192524,"corporation":false,"usgs":false,"family":"Miller","given":"Debra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":726937,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70195067,"text":"70195067 - 2017 - Using carbon dioxide in fisheries and aquatic invasive species management","interactions":[],"lastModifiedDate":"2018-02-28T14:27:19","indexId":"70195067","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Using carbon dioxide in fisheries and aquatic invasive species management","docAbstract":"To restore native fish populations, fisheries programs often depend on active removal of aquatic invasive species. Chemical removal can be an effective method of eliminating aquatic invasive species, but chemicals can induce mortality in nontarget organisms and persist in the environment. Carbon dioxide (CO2) is an emerging alternative to traditional chemical control agents because it has been demonstrated to be toxic to fish, but is naturally occurring and readily neutralized. In addition, CO2 is a commercially available gas, is highly soluble, and has high absorption efficiency. When these characteristics are paired with advances in modern, large-scale gas delivery technologies, opportunities to use CO2 in natural or artificial (e.g., canals) waters to manage fish become increasingly feasible. Our objective is to describe the history of CO2 use in fisheries and outline potential future applications of CO2 to suppress and manipulate aquatic species in field and aquaculture settings.
","language":"English","publisher":"Wiley","doi":"10.1080/03632415.2017.1383903","usgsCitation":"Treanor, H.B., Ray, A.M., Layhee, M., Watten, B.J., Gross, J.A., Gresswell, R.E., and Webb, M.A., 2017, Using carbon dioxide in fisheries and aquatic invasive species management: Fisheries, v. 42, no. 12, p. 621-628, https://doi.org/10.1080/03632415.2017.1383903.","productDescription":"8 p.","startPage":"621","endPage":"628","ipdsId":"IP-073368","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":438138,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U3X5XW","text":"USGS data release","linkHelpText":"Carbon dioxide-induced mortality of four species of North American fishes data"},{"id":351342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-12","publicationStatus":"PW","scienceBaseUri":"5a7d7001e4b00f54eb2441e9","contributors":{"authors":[{"text":"Treanor, Hilary B.","contributorId":200249,"corporation":false,"usgs":false,"family":"Treanor","given":"Hilary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":726785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":726786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Layhee, Megan J.","contributorId":201692,"corporation":false,"usgs":false,"family":"Layhee","given":"Megan J.","affiliations":[{"id":36231,"text":"Central Sierra Environmental Resource Center","active":true,"usgs":false}],"preferred":false,"id":726787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watten, Barnaby J. 0000-0002-2227-8623 bwatten@usgs.gov","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":2002,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","email":"bwatten@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":726788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gross, Jason A.","contributorId":201693,"corporation":false,"usgs":false,"family":"Gross","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":27848,"text":"Smith-Root, Inc.","active":true,"usgs":false}],"preferred":false,"id":726789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":147914,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":726784,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Webb, Molly A. H.","contributorId":152118,"corporation":false,"usgs":false,"family":"Webb","given":"Molly","email":"","middleInitial":"A. H.","affiliations":[{"id":18870,"text":"Bozeman Fish Technology Center, U.S. Fish and Wildlife Service, Bozeman, Montana 59715","active":true,"usgs":false}],"preferred":false,"id":726790,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70195007,"text":"70195007 - 2017 - Domestic cat","interactions":[],"lastModifiedDate":"2018-02-13T15:04:19","indexId":"70195007","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Domestic cat","docAbstract":"The familiar domestic cat is not native to southern California and is considered an invasive spe-cies by biologists and conservation organizations. When owners abandon their cats, wild or feral populations may arise, as they have in San Diego County. Cats’ pelage color, tail length, and hair thickness vary widely, given human fascination with breeding diverse phenotypes, but all have a typical felid body with upright ears, forward-looking eyes adapted for nocturnal foraging, protractible claws, and a sinuous, flexible body. Cats allowed outdoors and feral cats kill and eat a wide variety of vertebrates such as small mammals, birds, and reptiles","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"San Diego County Mammal Atlas","language":"English","publisher":"San Diego Society of Natural History","usgsCitation":"Diffendorfer, J., 2017, Domestic cat, chap. of San Diego County Mammal Atlas, p. 272-275.","productDescription":"4 p.","startPage":"272","endPage":"275","ipdsId":"IP-075095","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":351550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351549,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://shop.sdnhm.org/a567/san-diego-county-mammal-atlas.html"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7abe4b0da30c1bfc347","contributors":{"authors":[{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726548,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources","language":"English","publisher":"University of Alaska, Fairbanks","usgsCitation":"Price, R.A., 2017, How the solid earth works, chap. of Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources, E-book.","productDescription":"E-book","ipdsId":"IP-074022","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":354953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354207,"type":{"id":15,"text":"Index Page"},"url":"https://scholarworks.alaska.edu/handle/11122/7994"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e62fe4b060350a15d266","contributors":{"editors":[{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":737767,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737768,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737769,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Scholl, David W. 0000-0001-6500-6962 dscholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":3738,"corporation":false,"usgs":true,"family":"Scholl","given":"David","email":"dscholl@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":737770,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Stone, David B.","contributorId":65324,"corporation":false,"usgs":true,"family":"Stone","given":"David B.","affiliations":[],"preferred":false,"id":737771,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737766,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70197073,"text":"70197073 - 2017 - Multi-level multi-task learning for modeling cross-scale interactions in nested geospatial data","interactions":[],"lastModifiedDate":"2018-05-21T14:18:05","indexId":"70197073","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multi-level multi-task learning for modeling cross-scale interactions in nested geospatial data","docAbstract":"Predictive modeling of nested geospatial data is a challenging problem as the models must take into account potential interactions among variables defined at different spatial scales. These cross-scale interactions, as they are commonly known, are particularly important to understand relationships among ecological properties at macroscales. In this paper, we present a novel, multi-level multi-task learning framework for modeling nested geospatial data in the lake ecology domain. Specifically, we consider region-specific models to predict lake water quality from multi-scaled factors. Our framework enables distinct models to be developed for each region using both its local and regional information. The framework also allows information to be shared among the region-specific models through their common set of latent factors. Such information sharing helps to create more robust models especially for regions with limited or no training data. In addition, the framework can automatically determine cross-scale interactions between the regional variables and the local variables that are nested within them. Our experimental results show that the proposed framework outperforms all the baseline methods in at least 64% of the regions for 3 out of 4 lake water quality datasets evaluated in this study. Furthermore, the latent factors can be clustered to obtain a new set of regions that is more aligned with the response variables than the original regions that were defined a priori from the ecology domain.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2017 IEEE International Conference on Data Mining (ICDM)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IEEE","doi":"10.1109/ICDM.2017.154","usgsCitation":"Yuan, S., Zhou, J., Tan, P., Fergus, E., Wagner, T., and Sorrano, P., 2017, Multi-level multi-task learning for modeling cross-scale interactions in nested geospatial data, in 2017 IEEE International Conference on Data Mining (ICDM), https://doi.org/10.1109/ICDM.2017.154.","ipdsId":"IP-084708","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155e00e4b092d9651e1ba4","contributors":{"authors":[{"text":"Yuan, Shuai","contributorId":204925,"corporation":false,"usgs":false,"family":"Yuan","given":"Shuai","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":735482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhou, Jiayu","contributorId":204926,"corporation":false,"usgs":false,"family":"Zhou","given":"Jiayu","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":735483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tan, Pang-Ning","contributorId":204927,"corporation":false,"usgs":false,"family":"Tan","given":"Pang-Ning","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":735484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fergus, Emi","contributorId":204928,"corporation":false,"usgs":false,"family":"Fergus","given":"Emi","email":"","affiliations":[{"id":37008,"text":"National Research Council","active":true,"usgs":false}],"preferred":false,"id":735485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sorrano, Patricia","contributorId":204929,"corporation":false,"usgs":false,"family":"Sorrano","given":"Patricia","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":735486,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196549,"text":"70196549 - 2017 - Early-career experts essential for planetary sustainability","interactions":[],"lastModifiedDate":"2018-04-24T12:07:29","indexId":"70196549","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5061,"text":"Current Opinion in Environmental Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Early-career experts essential for planetary sustainability","docAbstract":"Early-career experts can play a fundamental role in achieving planetary sustainability by bridging generational divides and developing novel solutions to complex problems. We argue that intergenerational partnerships and interdisciplinary collaboration among early-career experts will enable emerging sustainability leaders to contribute fully to a sustainable future. We review 16 international, interdisciplinary, and sustainability-focused early-career capacity building programs. We conclude that such programs are vital to developing sustainability leaders of the future and that decision-making for sustainability is likely to be best served by strong institutional cultures that promote intergenerational learning and involvement.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cosust.2018.02.004","usgsCitation":"Lim, M., Lynch, A.J., Fernandez-Llamazares, A., Balint, L., Basher, Z., Chan, I., Jaureguiberry, P., Mohamed, A., Mwampamba, T.H., Palomo, I., Pliscoff, P., Salimov, R., Samakov, A., Selomane, O., Shrestha, U.B., and Sidorovich, A.A., 2017, Early-career experts essential for planetary sustainability: Current Opinion in Environmental Sustainability, v. 29, p. 151-157, https://doi.org/10.1016/j.cosust.2018.02.004.","productDescription":"7 p.","startPage":"151","endPage":"157","ipdsId":"IP-085650","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":469261,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.cosust.2018.02.004","text":"External 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Aibek","contributorId":204282,"corporation":false,"usgs":false,"family":"Samakov","given":"Aibek","email":"","affiliations":[{"id":36903,"text":"University of Tübingen","active":true,"usgs":false}],"preferred":false,"id":733592,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Selomane, Odirilwe","contributorId":204283,"corporation":false,"usgs":false,"family":"Selomane","given":"Odirilwe","email":"","affiliations":[{"id":36904,"text":"Council for Scientific and Industrial Research","active":true,"usgs":false}],"preferred":false,"id":733559,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shrestha, Uttam B.","contributorId":204285,"corporation":false,"usgs":false,"family":"Shrestha","given":"Uttam","email":"","middleInitial":"B.","affiliations":[{"id":36906,"text":"University of Southern Queensland","active":true,"usgs":false}],"preferred":false,"id":733561,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sidorovich, Anna A.","contributorId":204286,"corporation":false,"usgs":false,"family":"Sidorovich","given":"Anna","email":"","middleInitial":"A.","affiliations":[{"id":36907,"text":"National Academy of Sciences of Belarus","active":true,"usgs":false}],"preferred":false,"id":733562,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70197079,"text":"70197079 - 2017 - Meeting the challenge of interacting threats in freshwater ecosystems: A call to scientists and managers","interactions":[],"lastModifiedDate":"2018-05-16T16:26:16","indexId":"70197079","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Meeting the challenge of interacting threats in freshwater ecosystems: A call to scientists and managers","docAbstract":"Human activities create threats that have consequences for freshwater ecosystems and, in most watersheds, observed ecological responses are the result of complex interactions among multiple threats and their associated ecological alterations. Here we discuss the value of considering multiple threats in research and management, offer suggestions for filling knowledge gaps, and provide guidance for addressing the urgent management challenges posed by multiple threats in freshwater ecosystems. There is a growing literature assessing responses to multiple alterations, and we build off this background to identify three areas that require greater attention: linking observed alterations to threats, understanding when and where threats overlap, and choosing metrics that best quantify the effects of multiple threats. Advancing science in these areas will help us understand existing ecosystem conditions and predict future risk from multiple threats. Because addressing the complex issues and novel ecosystems that arise from the interaction of multiple threats in freshwater ecosystems represents a significant management challenge, and the risks of management failure include loss of biodiversity, ecological goods, and ecosystem services, we also identify actions that could improve decision-making and management outcomes. These actions include drawing insights from management of individual threats, using threat attributes (e.g., causes and spatio-temporal dynamics) to identify suitable management approaches, testing management strategies that are likely to be successful despite uncertainties about the nature of interactions among threats, avoiding unintended consequences, and maximizing conservation benefits. We also acknowledge the broadly applicable challenges of decision-making within a socio-political and economic framework, and suggest that multidisciplinary teams will be needed to innovate solutions to meet the current and future challenge of interacting threats in freshwater ecosystems.
","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.256","usgsCitation":"Craig, L.S., Olden, J., Arthington, A., Entrekin, S., Hawkins, C.P., Kelly, J.J., Kennedy, T., Maitland, B.M., Rosi, E.J., Roy, A.H., Strayer, D.L., Tank, J., West, A.O., and Wooten, M.S., 2017, Meeting the challenge of interacting threats in freshwater ecosystems: A call to scientists and managers: Elementa: Science of the Anthropocene, Article 72; 15 p., https://doi.org/10.1525/elementa.256.","productDescription":"Article 72; 15 p.","ipdsId":"IP-088263","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469284,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.256","text":"Publisher Index Page"},{"id":354229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston 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Sally","contributorId":147949,"corporation":false,"usgs":false,"family":"Entrekin","given":"Sally","affiliations":[{"id":16964,"text":"University of Central Arkansas","active":true,"usgs":false}],"preferred":false,"id":735548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hawkins, Charles P.","contributorId":198331,"corporation":false,"usgs":false,"family":"Hawkins","given":"Charles","email":"","middleInitial":"P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":735549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, John J.","contributorId":204954,"corporation":false,"usgs":false,"family":"Kelly","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":3320,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore 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aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735499,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Strayer, David L.","contributorId":90682,"corporation":false,"usgs":true,"family":"Strayer","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":735554,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tank, Jennifer L.","contributorId":103870,"corporation":false,"usgs":true,"family":"Tank","given":"Jennifer L.","affiliations":[],"preferred":false,"id":735555,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"West, Amie O.","contributorId":204955,"corporation":false,"usgs":false,"family":"West","given":"Amie","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":735556,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wooten, Matthew S.","contributorId":204956,"corporation":false,"usgs":false,"family":"Wooten","given":"Matthew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735557,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70196260,"text":"70196260 - 2017 - Developing a translational ecology workforce","interactions":[],"lastModifiedDate":"2018-03-28T17:07:38","indexId":"70196260","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Developing a translational ecology workforce","docAbstract":"We define a translational ecologist as a professional ecologist with diverse disciplinary expertise and skill sets, as well as a suitable personal disposition, who engages across social, professional, and disciplinary boundaries to partner with decision makers to achieve practical environmental solutions. Becoming a translational ecologist requires specific attention to obtaining critical non‐scientific disciplinary breadth and skills that are not typically gained through graduate‐level education. Here, we outline a need for individuals with broad training in interdisciplinary skills, use our personal experiences as a basis for assessing the types of interdisciplinary skills that would benefit potential translational ecologists, and present steps that interested ecologists may take toward becoming translational. Skills relevant to translational ecologists may be garnered through personal experiences, informal training, short courses, fellowships, and graduate programs, among others. We argue that a translational ecology workforce is needed to bridge the gap between science and natural resource decisions. Furthermore, we argue that this task is a cooperative responsibility of individuals interested in pursuing these careers, educational institutions interested in training scientists for professional roles outside of academia, and employers seeking to hire skilled workers who can foster stakeholder‐engaged decision making.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1732","usgsCitation":"Schwartz, M.W., Hiers, J.K., Davis, F.W., Garfin, G., Jackson, S.T., Terando, A.J., Woodhouse, C.A., Morelli, T.L., Williamson, M.A., and Brunson, M.W., 2017, Developing a translational ecology workforce: Frontiers in Ecology and the Environment, v. 15, no. 10, p. 587-596, https://doi.org/10.1002/fee.1732.","productDescription":"10 p.","startPage":"587","endPage":"596","ipdsId":"IP-084781","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":482053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.1732","text":"Publisher Index Page"},{"id":352888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee79ee4b0da30c1bfc31e","contributors":{"authors":[{"text":"Schwartz, Mark W.","contributorId":145938,"corporation":false,"usgs":false,"family":"Schwartz","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":731915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hiers, J. Kevin","contributorId":173986,"corporation":false,"usgs":false,"family":"Hiers","given":"J.","email":"","middleInitial":"Kevin","affiliations":[{"id":27330,"text":"University of the South; Sewanee, TN","active":true,"usgs":false}],"preferred":false,"id":731916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Frank W.","contributorId":150406,"corporation":false,"usgs":false,"family":"Davis","given":"Frank","email":"","middleInitial":"W.","affiliations":[{"id":18015,"text":"Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":731917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garfin, Gregg","contributorId":97740,"corporation":false,"usgs":true,"family":"Garfin","given":"Gregg","affiliations":[],"preferred":false,"id":731918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":731914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":731919,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":731985,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":731920,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williamson, Matthew A.","contributorId":201232,"corporation":false,"usgs":false,"family":"Williamson","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":731986,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brunson, Mark W.","contributorId":195697,"corporation":false,"usgs":false,"family":"Brunson","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":731987,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70196540,"text":"70196540 - 2017 - Wildlife value orientation stability among South Dakota residents: Setting the stage for a longitudinal analysis","interactions":[],"lastModifiedDate":"2018-04-16T16:48:50","indexId":"70196540","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3176,"text":"Proceedings of the South Dakota Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Wildlife value orientation stability among South Dakota residents: Setting the stage for a longitudinal analysis","docAbstract":"The concept of wildlife value orientations (WVOs) has been useful for understanding the diversity of public interests in wildlife management and has been shown to be a strong predictor of public attitudes towards a wide range of wildlife management actions and policies. WVOs consist of two predominant value orientations (domination and mutualism) defined by how people view their relationship with wildlife. WVO assessment, which analyzes response patterns on a series of scaled agree/disagree statements representing these two orientations, has led to the identification of four distinct types of people: a) utilitarian (high score on domination and low score on mutualism); (b) mutualist (low score on domination and high score on mutualism); (c) pluralist (high score on both WVO scales); and (d) distanced (low score on both WVO scales). The theoretical framework of WVOs is based on evidence that changing lifestyles arising from modernization contribute to a gradual shift away from domination toward mutualism. This theory suggests a longitudinal process of change that was tested in 2004 by cross-sectional analyses in 19 western states. More recent replications of WVO assessment in South Dakota in 2012 measured relatively similar proportions of WVO types (50% and 49% utilitarian, 15% and 16% mutualist, 29% and 25% pluralist, and 6% and 10% distanced in 2004 and 2012, respectively). Also, we identified similar proportions of WVO types and recreation participation comparing two counties with the largest urban populations (Minnehaha and Pennington) to the remainder of the state. Our results illustrate opportunities for continuing longitudinal analyses of WVO with an additional focus on within state changes.
","language":"English","publisher":"South Dakota Academy of Science","usgsCitation":"Gigliotti, L.M., and Don Carlos, A.W., 2017, Wildlife value orientation stability among South Dakota residents: Setting the stage for a longitudinal analysis: Proceedings of the South Dakota Academy of Science, v. 96, p. 77-93.","productDescription":"17 p.","startPage":"77","endPage":"93","ipdsId":"IP-074920","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":353471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353432,"type":{"id":15,"text":"Index Page"},"url":"https://sdaos.org/?s=Year%3A+2017"}],"volume":"96","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee79de4b0da30c1bfc310","contributors":{"authors":[{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":733505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Don Carlos, Andrew W.","contributorId":89755,"corporation":false,"usgs":true,"family":"Don Carlos","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":733590,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191050,"text":"70191050 - 2017 - Vulnerability of coral reefs to bioerosion from land-based sources of pollution","interactions":[],"lastModifiedDate":"2022-11-14T16:57:56.217623","indexId":"70191050","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of coral reefs to bioerosion from land-based sources of pollution","docAbstract":"Ocean acidification (OA), the gradual decline in ocean pH and [ ![\"math](\"http://onlinelibrary.wiley.com/store/10.1002/2017JC013264/asset/equation/jgrc22505-math-0001.png?v=1&s=072cd767753a34f47b463713a2956f9820b549ae\")
] caused by rising levels of atmospheric CO2, poses a significant threat to coral reef ecosystems, depressing rates of calcium carbonate (CaCO3) production, and enhancing rates of bioerosion and dissolution. As ocean pH and [ ![\"math](\"http://onlinelibrary.wiley.com/store/10.1002/2017JC013264/asset/equation/jgrc22505-math-0002.png?v=1&s=8d7349d4f1044b6572dca5422a94b5c951e16126\")
] decline globally, there is increasing emphasis on managing local stressors that can exacerbate the vulnerability of coral reefs to the effects of OA. We show that sustained, nutrient rich, lower pH submarine groundwater discharging onto nearshore coral reefs off west Maui lowers the pH of seawater and exposes corals to nitrate concentrations 50 times higher than ambient. Rates of coral calcification are substantially decreased, and rates of bioerosion are orders of magnitude higher than those observed in coral cores collected in the Pacific under equivalent low pH conditions but living in oligotrophic waters. Heavier coral nitrogen isotope (δ15N) values pinpoint not only site-specific eutrophication, but also a sewage nitrogen source enriched in 15N. Our results show that eutrophication of reef seawater by land-based sources of pollution can magnify the effects of OA through nutrient driven-bioerosion. These conditions could contribute to the collapse of coastal coral reef ecosystems sooner than current projections predict based only on ocean acidification.
","language":"English","publisher":"Wiley","doi":"10.1002/2017JC013264","usgsCitation":"Prouty, N.G., Anne Cohen, Yates, K.K., Storlazzi, C.D., Swarzenski, P.W., and White, D., 2017, Vulnerability of coral reefs to bioerosion from land-based sources of pollution: Journal of Geophysical Research C: Oceans, v. 122, no. 12, p. 9319-9331, https://doi.org/10.1002/2017JC013264.","productDescription":"13 p.","startPage":"9319","endPage":"9331","ipdsId":"IP-083486","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jc013264","text":"Publisher Index Page"},{"id":349902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.6944,\n 20.9361\n ],\n [\n -156.6889,\n 20.9361\n ],\n [\n -156.6889,\n 20.9472\n ],\n [\n -156.6944,\n 20.9472\n ],\n [\n -156.6944,\n 20.9361\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a67","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anne Cohen","contributorId":191409,"corporation":false,"usgs":false,"family":"Anne Cohen","affiliations":[],"preferred":false,"id":711060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711062,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711063,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Darla","contributorId":194122,"corporation":false,"usgs":false,"family":"White","given":"Darla","affiliations":[],"preferred":false,"id":711064,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195756,"text":"70195756 - 2017 - Effects of thermal variability on broadband seismometers: Controlled experiments, observations, and implications","interactions":[],"lastModifiedDate":"2018-07-03T11:34:14","indexId":"70195756","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","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":"Effects of thermal variability on broadband seismometers: Controlled experiments, observations, and implications","docAbstract":"Isolating seismic instruments from temperature fluctuations is routine practice within the seismological community. However, the necessary degree of thermal stability required in broadband installations to avoid generating noise or compromising the fidelity in the seismic records is largely unknown and likely application dependent. To quantify the temperature sensitivity of seismometers over a broad range of frequencies, we artificially induced local temperature changes on three different models of seismometers to measure the effect of thermal variations on seismometer output. We found that diurnal temperature changes above 0.002°C root mean square (rms) showed significant changes in velocity and acceleration output in comparison to thermally stable reference measurements. We also found that sensor incoherent self‐noise increased with temperature variation; these increases in noise can be modeled as 1/f\">1/f noise (pink noise), and are unlikely to be easily corrected for. These experimental results are compared with the data from Incorporated Research Institutions for Seismology (IRIS) U.S. Geological Survey (USGS) Global Seismographic Network (GSN) station TUC (Tucson, Arizona). This station is well instrumented with temperature sensors and has three different broadband seismometers, each of which uses a different method of thermal isolation. We show that the water bricks and borehole installations give ample temperature attenuation to thermally isolate seismometers from diurnal thermal variability that would compromise seismic data. We find that seismometer installations that provide thermal stability below 0.002°C rms could help to improve long‐period vertical seismic data across the GSN by decreasing temperature‐driven 1/f\">1/f noise.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170233","usgsCitation":"Doody, C., Ringler, A.T., Anthony, R.E., Wilson, D.C., Holland, A., Hutt, C.R., and Sandoval, L., 2017, Effects of thermal variability on broadband seismometers: Controlled experiments, observations, and implications: Bulletin of the Seismological Society of America, v. 108, no. 1, p. 493-502, https://doi.org/10.1785/0120170233.","productDescription":"10 p.","startPage":"493","endPage":"502","ipdsId":"IP-091363","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-26","publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc333","contributors":{"authors":[{"text":"Doody, Claire","contributorId":202828,"corporation":false,"usgs":false,"family":"Doody","given":"Claire","email":"","affiliations":[],"preferred":false,"id":729802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holland, Austin 0000-0002-7843-1981 aaholland@usgs.gov","orcid":"https://orcid.org/0000-0002-7843-1981","contributorId":173969,"corporation":false,"usgs":true,"family":"Holland","given":"Austin","email":"aaholland@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sandoval, Leo lsandoval@usgs.gov","contributorId":202830,"corporation":false,"usgs":true,"family":"Sandoval","given":"Leo","email":"lsandoval@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729808,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196869,"text":"70196869 - 2017 - Conservation status assessment of an endangered insular raptor: the Sharp-shinned Hawk in Puerto Rico","interactions":[],"lastModifiedDate":"2018-05-08T13:26:23","indexId":"70196869","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Conservation status assessment of an endangered insular raptor: the Sharp-shinned Hawk in Puerto Rico","docAbstract":"Sharp‐shinned Hawks (Accipiter striatus) are forest raptors that are widely distributed in the Americas. A subspecies endemic to Puerto Rico (A. s. venator) is listed as endangered and restricted to mature and old secondary montane forests and shade coffee plantations. However, recent information about the population status and distribution of Puerto Rican Sharp‐shinned Hawks is lacking. We developed a spatial geographic distribution model for Sharp‐shinned Hawks in Puerto Rico from 33 locations collected during four breeding seasons (2013–2016) using biologically relevant landscape variables (aspect, canopy closure, elevation, rainfall, slope, and terrain roughness). Elevation accounted for 89.8% of the model fit and predicted that the greatest probability of occurrence of Sharp‐shinned Hawks in Puerto Rico (> 60%) was at elevations above 900 m. Based on our model, an estimated 56.1 km2 of habitat exists in Puerto Rico with a high probability of occurrence. This total represents ~0.6% of the island's area. Public lands included 43.8% of habitat with high probability of occurrence (24.6 km2), 96% of which was located within four protected areas. Our results suggest that Sharp‐shinned Hawks are rare in Puerto Rico and restricted to the higher elevations of the Cordillera Central. Additional research is needed to identify and address ecological limiting factors, and recovery actions are needed to avoid the extinction of this endemic island raptor.
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,{"id":70196756,"text":"70196756 - 2017 - Spatial genetic structure of muskellunge in the Great Lakes region and the effects of supplementation on genetic integrity of remnant stocks","interactions":[],"lastModifiedDate":"2018-05-03T09:56:27","indexId":"70196756","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Spatial genetic structure of muskellunge in the Great Lakes region and the effects of supplementation on genetic integrity of remnant stocks","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Muskellunge management: Fifty years of cooperation among anglers, scientists, and fisheries biologists\t","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2016 Hugh C. Becker Memorial Muskellunge Symposium","language":"English","publisher":"American Fisheries Society","isbn":"978-1-934874-46-2","usgsCitation":"Turnquist, K.N., Larson, W., Farrell, J.M., Hanchin, P., Kapuscinski, K.L., Miller, L.M., Scribner, K.T., Wilson, C.C., and Sloss, B.L., 2017, Spatial genetic structure of muskellunge in the Great Lakes region and the effects of supplementation on genetic integrity of remnant stocks, in Muskellunge management: Fifty years of cooperation among anglers, scientists, and fisheries biologists\t.","ipdsId":"IP-083390","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":353930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353929,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/54085c/"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee79de4b0da30c1bfc30a","contributors":{"authors":[{"text":"Turnquist, Keith N.","contributorId":139517,"corporation":false,"usgs":false,"family":"Turnquist","given":"Keith","email":"","middleInitial":"N.","affiliations":[{"id":12787,"text":"Molecular Conservation Genetics Laboratory, University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":734616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farrell, John M.","contributorId":172505,"corporation":false,"usgs":false,"family":"Farrell","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":27058,"text":"State University of New York, College of Environmental Science and Forestry, Department of Environmental and Forest Biology, 250 Illick Hall, 1 Forestry Drive, Syracuse, NY 13210, USA","active":true,"usgs":false}],"preferred":false,"id":734617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanchin, P.A.","contributorId":56484,"corporation":false,"usgs":true,"family":"Hanchin","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":734618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kapuscinski, Kevin L.","contributorId":172506,"corporation":false,"usgs":false,"family":"Kapuscinski","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":27059,"text":"State University of New York, College of Environmental Science and Forestry, Department of Environmental and Forest Biology, 304 Illick Hall, 1 Forestry Drive, Syracuse, NY 13210, USA","active":true,"usgs":false}],"preferred":false,"id":734619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Loren M.","contributorId":172059,"corporation":false,"usgs":false,"family":"Miller","given":"Loren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":734620,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scribner, Kim T.","contributorId":146113,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim","email":"","middleInitial":"T.","affiliations":[{"id":16582,"text":"Department of Fisheries and Wildlife and Department of Zoology, 480 Wilson Rd. 13 Natural Resources Building, Michigan State University, East Lansing, MI 48824","active":true,"usgs":false},{"id":135,"text":"Biological Resources Division","active":false,"usgs":true}],"preferred":false,"id":734621,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Chris C.","contributorId":149385,"corporation":false,"usgs":false,"family":"Wilson","given":"Chris","email":"","middleInitial":"C.","affiliations":[{"id":17723,"text":"3Aquatic Research Section, Ontario Ministry of Natural Resources, Trent University","active":true,"usgs":false}],"preferred":false,"id":734622,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":734623,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70196823,"text":"70196823 - 2017 - Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2018-05-03T13:40:46","indexId":"70196823","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes","docAbstract":"Freshwater ecosystems provide many ecosystem services; however, they are often degraded as a result of human activity. To address ecosystem degradation in the Laurentian Great Lakes, Canada and the United States of America established the Great Lakes Water Quality Agreement (GLWQA). In 1987, 43 highly polluted and impacted areas were identified under the GLWQA as having one or more of 14 Beneficial Use Impairments (BUIs) to the physical and chemical habitat for fish, wildlife and humans, and were designated as Areas of Concern (AOC). Subnational jurisdictions combined with local stakeholders, with support from federal governments, developed plans to remediate and restore these sites. Biotelemetry (the tracking of animals using electronic tags) provides information on the spatial ecology of fish in the wild relevant to habitat management and stock assessment. Here, seven case studies are presented where biotelemetry data were directly incorporated within the AOC Remedial Action Plan (RAP) process. Specific applications include determining seasonal fish–habitat associations to inform habitat restoration plans, identifying the distribution of pollutant-indicator species to identify exposure risk to contamination sources, informing the development of fish passage facilities to enable fish to access fragmented upstream habitats, and assessing fish use of created or restored habitats. With growing capacity for fish biotelemetry research in the Great Lakes, we discuss the strengths and weaknesses of incorporating biotelemetry into AOC RAP processes to improve the science and practice of restoration and to facilitate the delisting of AOCs.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-017-0937-x","usgsCitation":"Brooks, J., Boston, C., Doka, S.E., Gorsky, D., Gustavson, K., Hondorp, D.W., Isermann, D.A., Midwood, J.D., Pratt, T., Rous, A.M., Withers, J.L., Krueger, C., and Cooke, S.J., 2017, Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes: Environmental Management, v. 60, no. 6, p. 1139-1154, https://doi.org/10.1007/s00267-017-0937-x.","productDescription":"16 p.","startPage":"1139","endPage":"1154","ipdsId":"IP-087436","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":353940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"60","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-22","publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc2fe","contributors":{"authors":[{"text":"Brooks, J.L.","contributorId":10759,"corporation":false,"usgs":true,"family":"Brooks","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":734637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boston, C.","contributorId":204672,"corporation":false,"usgs":false,"family":"Boston","given":"C.","email":"","affiliations":[],"preferred":false,"id":734638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doka, Susan E.","contributorId":173419,"corporation":false,"usgs":false,"family":"Doka","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":734639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":734640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gustavson, K.","contributorId":204674,"corporation":false,"usgs":false,"family":"Gustavson","given":"K.","email":"","affiliations":[],"preferred":false,"id":734641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":734615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734614,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Midwood, Jonathan D.","contributorId":74659,"corporation":false,"usgs":true,"family":"Midwood","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":734642,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pratt, T. C.","contributorId":203589,"corporation":false,"usgs":false,"family":"Pratt","given":"T. C.","affiliations":[{"id":34798,"text":"DFO Canada","active":true,"usgs":false}],"preferred":false,"id":734643,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rous, Andrew M.","contributorId":203583,"corporation":false,"usgs":false,"family":"Rous","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36663,"text":"Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada","active":true,"usgs":false}],"preferred":false,"id":734644,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Withers, J. L.","contributorId":204675,"corporation":false,"usgs":false,"family":"Withers","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":734645,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Krueger, C.C.","contributorId":97042,"corporation":false,"usgs":true,"family":"Krueger","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":734646,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cooke, S. J.","contributorId":55645,"corporation":false,"usgs":false,"family":"Cooke","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":16718,"text":"Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada","active":true,"usgs":false}],"preferred":false,"id":734647,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70194520,"text":"70194520 - 2017 - Miocene−Pleistocene deformation of the Saddle Mountains: Implications for seismic hazard in central Washington, USA","interactions":[],"lastModifiedDate":"2018-03-05T15:39:49","indexId":"70194520","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Miocene−Pleistocene deformation of the Saddle Mountains: Implications for seismic hazard in central Washington, USA","docAbstract":"The Yakima fold province, located in the backarc of the Cascadia subduction zone, is a region of active strain accumulation and deformation distributed across a series of fault-cored folds. The geodetic network in central Washington has been used to interpret large-scale N-S shortening and westward-increasing strain; however, geodetic data are unable to resolve shortening rates across individual structures in this low-strain-rate environment. Resolving fault geometries, slip rates, and timing of faulting in the Yakima fold province is critically important to seismic hazard assessment for nearby infrastructure and population centers.
The Saddle Mountains anticline is one of the most prominent Yakima folds. It is unique within the Yakima fold province in that the syntectonic strata of the Ringold Formation are preserved and provide a record of deformation and drainage reorganization. Here, we present new stratigraphic columns, U-Pb zircon tephra ages, U-series caliche ages, and geophysical modeling that constrain two line-balanced and retrodeformed cross sections. These new constraints indicate that the Saddle Mountains anticline has accommodated 1.0−1.3 km of N-S shortening since 10 Ma, that shortening increases westward along the anticline, and that the average slip rate has increased 6-fold since 6.8 Ma. Provenance analysis suggests that the source terrane for the Ringold Formation was similar to that of the modern Snake River Plain. Using new slip rates and structural constraints, we calculate the strain accumulation time, interpretable as a recurrence interval, for earthquakes on the Saddle Mountains fault and find that large-magnitude earthquakes could rupture along the Saddle Mountains fault every 2−11 k.y.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31783.1","usgsCitation":"Staisch, L.M., Kelsey, H., Sherrod, B.L., Moller, A., Paces, J.B., Blakely, R.J., and Styron, R., 2017, Miocene−Pleistocene deformation of the Saddle Mountains: Implications for seismic hazard in central Washington, USA: GSA Bulletin, v. 130, no. 3-4, p. 411-437, https://doi.org/10.1130/B31783.1.","productDescription":"27 p.","startPage":"411","endPage":"437","ipdsId":"IP-084555","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120,\n 46.5\n ],\n [\n -119,\n 46.5\n ],\n [\n -119,\n 47\n ],\n [\n -120,\n 47\n ],\n [\n -120,\n 46.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"130","issue":"3-4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-10","publicationStatus":"PW","scienceBaseUri":"5a60faf7e4b06e28e9c22a29","contributors":{"authors":[{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelsey, Harvey","contributorId":106978,"corporation":false,"usgs":true,"family":"Kelsey","given":"Harvey","affiliations":[],"preferred":false,"id":724270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":724271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moller, Andreas","contributorId":201081,"corporation":false,"usgs":false,"family":"Moller","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":724272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":724273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724274,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Styron, Richard","contributorId":201082,"corporation":false,"usgs":false,"family":"Styron","given":"Richard","email":"","affiliations":[],"preferred":false,"id":724275,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70195081,"text":"70195081 - 2017 - Dynamic rupture modeling of the M7.2 2010 El Mayor-Cucapah earthquake: Comparison with a geodetic model","interactions":[],"lastModifiedDate":"2018-02-08T12:43:29","indexId":"70195081","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","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":"Dynamic rupture modeling of the M7.2 2010 El Mayor-Cucapah earthquake: Comparison with a geodetic model","docAbstract":"The 2010 Mw 7.2 El Mayor-Cucapah earthquake is the largest event recorded in the broader Southern California-Baja California region in the last 18 years. Here we try to analyze primary features of this type of event by using dynamic rupture simulations based on a multifault interface and later compare our results with space geodetic models. Our results show that starting from homogeneous prestress conditions, slip heterogeneity can be achieved as a result of variable dip angle along strike and the modulation imposed by step over segments. We also considered effects from a topographic free surface and find that although this does not produce significant first-order effects for this earthquake, even a low topographic dome such as the Cucapah range can affect the rupture front pattern and fault slip rate. Finally, we inverted available interferometric synthetic aperture radar data, using the same geometry as the dynamic rupture model, and retrieved the space geodetic slip distribution that serves to constrain the dynamic rupture models. The one to one comparison of the final fault slip pattern generated with dynamic rupture models and the space geodetic inversion show good agreement. Our results lead us to the following conclusion: in a possible multifault rupture scenario, and if we have first-order geometry constraints, dynamic rupture models can be very efficient in predicting large-scale slip heterogeneities that are important for the correct assessment of seismic hazard and the magnitude of future events. Our work contributes to understanding the complex nature of multifault systems.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB014294","usgsCitation":"Kyriakopoulos, C., Oglesby, D.D., Funning, G.J., and Ryan, K., 2017, Dynamic rupture modeling of the M7.2 2010 El Mayor-Cucapah earthquake: Comparison with a geodetic model: Journal of Geophysical Research B: Solid Earth, v. 122, no. 12, p. 10263-10279, https://doi.org/10.1002/2017JB014294.","productDescription":"17 p.","startPage":"10263","endPage":"10279","ipdsId":"IP-085833","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469265,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jb014294","text":"Publisher Index Page"},{"id":351348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.5,\n 33\n ],\n [\n -114.5,\n 33\n ],\n [\n -114.5,\n 31.5\n ],\n [\n -116.5,\n 31.5\n ],\n [\n -116.5,\n 33\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-19","publicationStatus":"PW","scienceBaseUri":"5a7d7000e4b00f54eb2441db","contributors":{"authors":[{"text":"Kyriakopoulos, Christos","contributorId":201722,"corporation":false,"usgs":false,"family":"Kyriakopoulos","given":"Christos","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":726852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oglesby, David D.","contributorId":201723,"corporation":false,"usgs":false,"family":"Oglesby","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":726853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funning, Gareth J. 0000-0002-8247-0545","orcid":"https://orcid.org/0000-0002-8247-0545","contributorId":172418,"corporation":false,"usgs":false,"family":"Funning","given":"Gareth","email":"","middleInitial":"J.","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":726854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryan, Kenneth 0000-0003-3933-3163 kryan@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-3163","contributorId":191921,"corporation":false,"usgs":true,"family":"Ryan","given":"Kenneth","email":"kryan@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":726851,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195163,"text":"70195163 - 2017 - Crustal permeability","interactions":[],"lastModifiedDate":"2018-02-07T14:38:15","indexId":"70195163","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Crustal permeability","docAbstract":"Permeability is the dominant parameter in most hydrogeologic studies. There is abundant evidence for dynamic variations in permeability in time as well as space, and throughout the crust. Whether this dynamic behavior should be included in quantitative models depends on the problem at hand.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-017-1663-4","usgsCitation":"Ingebritsen, S.E., and Gleeson, T., 2017, Crustal permeability: Hydrogeology Journal, v. 25, no. 8, p. 2221-2224, https://doi.org/10.1007/s10040-017-1663-4.","productDescription":"4 p.","startPage":"2221","endPage":"2224","ipdsId":"IP-087288","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469258,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-017-1663-4","text":"Publisher Index Page"},{"id":351288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-02","publicationStatus":"PW","scienceBaseUri":"5a7c1e78e4b00f54eb229317","contributors":{"authors":[{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":727263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gleeson, Tom","contributorId":42694,"corporation":false,"usgs":false,"family":"Gleeson","given":"Tom","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":727264,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195142,"text":"70195142 - 2017 - Earthquake Early Warning ShakeAlert System: Testing and certification platform","interactions":[],"lastModifiedDate":"2018-02-08T13:34:56","indexId":"70195142","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake Early Warning ShakeAlert System: Testing and certification platform","docAbstract":"Earthquake early warning systems provide warnings to end users of incoming moderate to strong ground shaking from earthquakes. An earthquake early warning system, ShakeAlert, is providing alerts to beta end users in the western United States, specifically California, Oregon, and Washington. An essential aspect of the earthquake early warning system is the development of a framework to test modifications to code to ensure functionality and assess performance. In 2016, a Testing and Certification Platform (TCP) was included in the development of the Production Prototype version of ShakeAlert. The purpose of the TCP is to evaluate the robustness of candidate code that is proposed for deployment on ShakeAlert Production Prototype servers. TCP consists of two main components: a real‐time in situ test that replicates the real‐time production system and an offline playback system to replay test suites. The real‐time tests of system performance assess code optimization and stability. The offline tests comprise a stress test of candidate code to assess if the code is production ready. The test suite includes over 120 events including local, regional, and teleseismic historic earthquakes, recentering and calibration events, and other anomalous and potentially problematic signals. Two assessments of alert performance are conducted. First, point‐source assessments are undertaken to compare magnitude, epicentral location, and origin time with the Advanced National Seismic System Comprehensive Catalog, as well as to evaluate alert latency. Second, we describe assessment of the quality of ground‐motion predictions at end‐user sites by comparing predicted shaking intensities to ShakeMaps for historic events and implement a threshold‐based approach that assesses how often end users initiate the appropriate action, based on their ground‐shaking threshold. TCP has been developed to be a convenient streamlined procedure for objectively testing algorithms, and it has been designed with flexibility to accommodate significant changes in development of new or modified system code. It is expected that the TCP will continue to evolve along with the ShakeAlert system, and the framework we describe here provides one example of how earthquake early warning systems can be evaluated.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170138","usgsCitation":"Cochran, E.S., Kohler, M.D., Given, D.D., Guiwits, S., Andrews, J., Meier, M., Ahmad, M., Henson, I., Hartog, J.R., and Smith, D., 2017, Earthquake Early Warning ShakeAlert System: Testing and certification platform: Seismological Research Letters, v. 89, no. 1, p. 108-117, https://doi.org/10.1785/0220170138.","productDescription":"10 p.","startPage":"108","endPage":"117","ipdsId":"IP-087135","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469263,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20171208-083947727","text":"External Repository"},{"id":351359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, 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\"}}]}","volume":"89","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-06","publicationStatus":"PW","scienceBaseUri":"5a7d6fffe4b00f54eb2441d1","contributors":{"authors":[{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":727137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kohler, Monica D.","contributorId":57054,"corporation":false,"usgs":true,"family":"Kohler","given":"Monica","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":727138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Given, Douglas D. 0000-0002-3277-5121 doug@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-5121","contributorId":201870,"corporation":false,"usgs":true,"family":"Given","given":"Douglas","email":"doug@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":727139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guiwits, Stephen 0000-0002-6481-6231","orcid":"https://orcid.org/0000-0002-6481-6231","contributorId":201879,"corporation":false,"usgs":true,"family":"Guiwits","given":"Stephen","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":727145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrews, Jennifer","contributorId":187764,"corporation":false,"usgs":false,"family":"Andrews","given":"Jennifer","affiliations":[],"preferred":false,"id":727140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meier, Men-Andrin","contributorId":201882,"corporation":false,"usgs":false,"family":"Meier","given":"Men-Andrin","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":727141,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ahmad, Mohammad","contributorId":201883,"corporation":false,"usgs":false,"family":"Ahmad","given":"Mohammad","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":727142,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Henson, Ivan","contributorId":201884,"corporation":false,"usgs":false,"family":"Henson","given":"Ivan","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":727143,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hartog, J. Renate","contributorId":171724,"corporation":false,"usgs":false,"family":"Hartog","given":"J.","email":"","middleInitial":"Renate","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":727144,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Deborah 0000-0002-8317-7762","orcid":"https://orcid.org/0000-0002-8317-7762","contributorId":201885,"corporation":false,"usgs":true,"family":"Smith","given":"Deborah","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":727146,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70195367,"text":"70195367 - 2017 - Community tools for cartographic and photogrammetric processing of Mars Express HRSC images","interactions":[],"lastModifiedDate":"2018-03-13T17:19:41","indexId":"70195367","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5650,"text":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","onlineIssn":"2194-9034","printIssn":"1682-1750","active":true,"publicationSubtype":{"id":19}},"title":"Community tools for cartographic and photogrammetric processing of Mars Express HRSC images","docAbstract":"The High Resolution Stereo Camera (HRSC) on the Mars Express orbiter (Neukum et al. 2004) is a multi-line pushbroom scanner that can obtain stereo and color coverage of targets in a single overpass, with pixel scales as small as 10 m at periapsis. Since commencing operations in 2004 it has imaged ~ 77 % of Mars at 20 m/pixel or better. The instrument team uses the Video Image Communication And Retrieval (VICAR) software to produce and archive a range of data products from uncalibrated and radiometrically calibrated images to controlled digital topographic models (DTMs) and orthoimages and regional mosaics of DTM and orthophoto data (Gwinner et al. 2009; 2010b; 2016). Alternatives to this highly effective standard processing pipeline are nevertheless of interest to researchers who do not have access to the full VICAR suite and may wish to make topographic products or perform other (e. g., spectrophotometric) analyses prior to the release of the highest level products. We have therefore developed software to ingest HRSC images and model their geometry in the USGS Integrated Software for Imagers and Spectrometers (ISIS3), which can be used for data preparation, geodetic control, and analysis, and the commercial photogrammetric software SOCET SET (® BAE Systems; Miller and Walker 1993; 1995) which can be used for independent production of DTMs and orthoimages.
The initial implementation of this capability utilized the then-current ISIS2 system and the generic pushbroom sensor model of SOCET SET, and was described in the DTM comparison of independent photogrammetric processing by different elements of the HRSC team (Heipke et al. 2007). A major drawback of this prototype was that neither software system then allowed for pushbroom images in which the exposure time changes from line to line. Except at periapsis, HRSC makes such timing changes every few hundred lines to accommodate changes of altitude and velocity in its elliptical orbit. As a result, it was necessary to split observations into blocks of constant exposure time, greatly increasing the effort needed to control the images and collect DTMs.
Here, we describe a substantially improved HRSC processing capability that incorporates sensor models with varying line timing in the current ISIS3 system (Sides 2017) and SOCET SET. This enormously reduces the work effort for processing most images and eliminates the artifacts that arose from segmenting them. In addition, the software takes advantage of the continuously evolving capabilities of ISIS3 and the improved image matching module NGATE (Next Generation Automatic Terrain Extraction, incorporating area and feature based algorithms, multi-image and multi-direction matching) of SOCET SET, thus greatly reducing the need for manual editing of DTM errors. We have also developed a procedure for geodetically controlling the images to Mars Orbiter Laser Altimeter (MOLA) data by registering a preliminary stereo topographic model to MOLA by using the point cloud alignment (pc_align) function of the NASA Ames Stereo Pipeline (ASP; Moratto et al. 2010). This effectively converts inter-image tiepoints into ground control points in the MOLA coordinate system. The result is improved absolute accuracy and a significant reduction in work effort relative to manual measurement of ground control. The ISIS and ASP software used are freely available; SOCET SET, is a commercial product. By the end of 2017 we expect to have ported our SOCET SET HRSC sensor model to the Community Sensor Model (CSM; Community Sensor Model Working Group 2010; Hare and Kirk 2017) standard utilized by the successor photogrammetric system SOCET GXP that is currently offered by BAE. In early 2018, we are also working with BAE to release the CSM source code under a BSD or MIT open source license.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: 2017 international symposium on planetary remote sensing and mapping (Volume XLII-3/W1)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2017 International Symposium on Planetary Remote Sensing and Mapping","conferenceDate":"August 13-16, 2017","conferenceLocation":"Hong Kong","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","doi":"10.5194/isprs-archives-XLII-3-W1-69-2017","usgsCitation":"Kirk, R.L., Howington-Kraus, E., Edmundson, K., Redding, B.L., Galuszka, D.M., Hare, T.M., and Gwinner, K., 2017, Community tools for cartographic and photogrammetric processing of Mars Express HRSC images, in Proceedings: 2017 international symposium on planetary remote sensing and mapping (Volume XLII-3/W1), v. XLII-3/W1, Hong Kong, August 13-16, 2017, p. 69-76, https://doi.org/10.5194/isprs-archives-XLII-3-W1-69-2017.","productDescription":"8 p.","startPage":"69","endPage":"76","ipdsId":"IP-088472","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":461329,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xlii-3-w1-69-2017","text":"Publisher Index Page"},{"id":351461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"XLII-3/W1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-25","publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc341","contributors":{"editors":[{"text":"Wu, B.","contributorId":23362,"corporation":false,"usgs":true,"family":"Wu","given":"B.","email":"","affiliations":[],"preferred":false,"id":730979,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Di, K.","contributorId":61936,"corporation":false,"usgs":true,"family":"Di","given":"K.","email":"","affiliations":[],"preferred":false,"id":730980,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Oberst, J.","contributorId":103427,"corporation":false,"usgs":true,"family":"Oberst","given":"J.","email":"","affiliations":[],"preferred":false,"id":730981,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Karachevtseva, I.","contributorId":147166,"corporation":false,"usgs":false,"family":"Karachevtseva","given":"I.","email":"","affiliations":[],"preferred":false,"id":730982,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howington-Kraus, Elpitha 0000-0001-5787-6554 ahowington@usgs.gov","orcid":"https://orcid.org/0000-0001-5787-6554","contributorId":2815,"corporation":false,"usgs":true,"family":"Howington-Kraus","given":"Elpitha","email":"ahowington@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmundson, Kenneth L. kedmundson@usgs.gov","contributorId":4725,"corporation":false,"usgs":true,"family":"Edmundson","given":"Kenneth L.","email":"kedmundson@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Redding, Bonnie L. 0000-0001-8178-1467 bredding@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-1467","contributorId":4798,"corporation":false,"usgs":true,"family":"Redding","given":"Bonnie","email":"bredding@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728237,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gwinner, K.","contributorId":83737,"corporation":false,"usgs":true,"family":"Gwinner","given":"K.","affiliations":[],"preferred":false,"id":728238,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70195170,"text":"70195170 - 2017 - Developing enterprise tools and capacities for large-scale natural resource monitoring: A visioning workshop","interactions":[],"lastModifiedDate":"2018-02-08T16:05:38","indexId":"70195170","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Developing enterprise tools and capacities for large-scale natural resource monitoring: A visioning workshop","docAbstract":"In October 2016, the U.S. Geological Survey (USGS), in collaboration with the Pacific Northwest Aquatic Monitoring Partnership (PNAMP, www.pnamp.org), convened a 30-person workshop, https://www.pnamp.org/event/5509, to identify and prioritize development of enterprise systems for programs that monitor the status and trends of species populations and their terrestrial, aquatic, and marine habitats. Participants included representatives from federal natural resource research and land management organizations and nongovernmental organizations that manage natural resource monitoring programs.\nObjectives of the workshop were: 1) identify resources that support natural resource monitoring programs working across the data life cycle; 2) prioritize desired capacities and tools to facilitate monitoring design and implementation; 3) identify standards and best practices that improve discovery, accessibility, and interoperability of data across programs and jurisdictions; and 4) contribute to an emerging community of practice focused on natural resource monitoring.","language":"English","publisher":"Pacific Northwest Aquatic Monitoring Partnership","usgsCitation":"Bayer, J.M., Weltzin, J., and Scully, R.A., 2017, Developing enterprise tools and capacities for large-scale natural resource monitoring: A visioning workshop, v, 44 p.","productDescription":"v, 44 p.","numberOfPages":"49","ipdsId":"IP-092921","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":351384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351133,"type":{"id":15,"text":"Index Page"},"url":"https://www.pnamp.org/document/5990"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7d6ffee4b00f54eb2441c6","contributors":{"authors":[{"text":"Bayer, Jennifer M. 0000-0001-9564-3110 jbayer@usgs.gov","orcid":"https://orcid.org/0000-0001-9564-3110","contributorId":3393,"corporation":false,"usgs":true,"family":"Bayer","given":"Jennifer","email":"jbayer@usgs.gov","middleInitial":"M.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":727287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":727286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scully, Rebecca A. 0000-0003-0704-8907 rscully@usgs.gov","orcid":"https://orcid.org/0000-0003-0704-8907","contributorId":191891,"corporation":false,"usgs":true,"family":"Scully","given":"Rebecca","email":"rscully@usgs.gov","middleInitial":"A.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":727288,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195381,"text":"70195381 - 2017 - Reviews and syntheses: Field data to benchmark the carbon cycle models for tropical forests","interactions":[],"lastModifiedDate":"2020-09-01T14:26:56.11934","indexId":"70195381","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Reviews and syntheses: Field data to benchmark the carbon cycle models for tropical forests","docAbstract":"For more accurate projections of both the global carbon (C) cycle and the changing climate, a critical current need is to improve the representation of tropical forests in Earth system models. Tropical forests exchange more C, energy, and water with the atmosphere than any other class of land ecosystems. Further, tropical-forest C cycling is likely responding to the rapid global warming, intensifying water stress, and increasing atmospheric CO2 levels. Projections of the future C balance of the tropics vary widely among global models. A current effort of the modeling community, the ILAMB (International Land Model Benchmarking) project, is to compile robust observations that can be used to improve the accuracy and realism of the land models for all major biomes. Our goal with this paper is to identify field observations of tropical-forest ecosystem C stocks and fluxes, and of their long-term trends and climatic and CO2 sensitivities, that can serve this effort. We propose criteria for reference-level field data from this biome and present a set of documented examples from old-growth lowland tropical forests. We offer these as a starting point towards the goal of a regularly updated consensus set of benchmark field observations of C cycling in tropical forests.
","language":"English","publisher":"EGU","doi":"10.5194/bg-14-4663-2017","usgsCitation":"Clark, D., Asao, S., Fisher, R.A., Reed, S.C., Reich, P.B., Ryan, M.G., Wood, T.E., and Yang, X., 2017, Reviews and syntheses: Field data to benchmark the carbon cycle models for tropical forests: Biogeosciences, v. 14, p. 4663-4690, https://doi.org/10.5194/bg-14-4663-2017.","productDescription":"28 p.","startPage":"4663","endPage":"4690","ipdsId":"IP-086986","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469257,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-14-4663-2017","text":"Publisher Index Page"},{"id":351527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-23","publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc33d","contributors":{"authors":[{"text":"Clark, Deborah A.","contributorId":202368,"corporation":false,"usgs":false,"family":"Clark","given":"Deborah A.","affiliations":[{"id":36397,"text":"Department of Biology, University of Missouri-St. Louis","active":true,"usgs":false}],"preferred":false,"id":728279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asao, Shinichi","contributorId":202369,"corporation":false,"usgs":false,"family":"Asao","given":"Shinichi","email":"","affiliations":[{"id":7230,"text":"Natural Resource Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":728280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Rosie A.","contributorId":147090,"corporation":false,"usgs":false,"family":"Fisher","given":"Rosie","email":"","middleInitial":"A.","affiliations":[{"id":16785,"text":"National Center for Atmospheric Research, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":728281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":728278,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reich, Peter B.","contributorId":202370,"corporation":false,"usgs":false,"family":"Reich","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":36398,"text":"Department of Forest Resources, University of Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":728282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryan, Michael G.","contributorId":202371,"corporation":false,"usgs":false,"family":"Ryan","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":33176,"text":"Rocky Mountain Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":728283,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Tana E.","contributorId":202372,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","email":"","middleInitial":"E.","affiliations":[{"id":36399,"text":"International Institute of Tropical Forestry, USDA Forest Service, Rio Piedras, PR","active":true,"usgs":false}],"preferred":false,"id":728284,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yang, Xiaojuan","contributorId":146256,"corporation":false,"usgs":false,"family":"Yang","given":"Xiaojuan","email":"","affiliations":[{"id":16649,"text":"Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN 37831-6335, USA","active":true,"usgs":false}],"preferred":false,"id":728285,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70195364,"text":"70195364 - 2017 - Correcting spacecraft jitter in HiRISE images","interactions":[],"lastModifiedDate":"2018-03-13T17:21:17","indexId":"70195364","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5650,"text":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","onlineIssn":"2194-9034","printIssn":"1682-1750","active":true,"publicationSubtype":{"id":19}},"title":"Correcting spacecraft jitter in HiRISE images","docAbstract":"Mechanical oscillations or vibrations on spacecraft, also called pointing jitter, cause geometric distortions and/or smear in high resolution digital images acquired from orbit. Geometric distortion is especially a problem with pushbroom type sensors, such as the High Resolution Imaging Science Experiment (HiRISE) instrument on board the Mars Reconnaissance Orbiter (MRO). Geometric distortions occur at a range of frequencies that may not be obvious in the image products, but can cause problems with stereo image correlation in the production of digital elevation models, and in measuring surface changes over time in orthorectified images. The HiRISE focal plane comprises a staggered array of fourteen charge-coupled devices (CCDs) with pixel IFOV of 1 microradian. The high spatial resolution of HiRISE makes it both sensitive to, and an excellent recorder of jitter. We present an algorithm using Fourier analysis to resolve the jitter function for a HiRISE image that is then used to update instrument pointing information to remove geometric distortions from the image. Implementation of the jitter analysis and image correction is performed on selected HiRISE images. Resulting corrected images and updated pointing information are made available to the public. Results show marked reduction of geometric distortions. This work has applications to similar cameras operating now, and to the design of future instruments (such as the Europa Imaging System).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: 2017 international symposium on planetary remote sensing and mapping (Volume XLII-3/W1)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2017 International Symposium on Planetary Remote Sensing and Mapping","conferenceDate":"August 13-16, 2017","conferenceLocation":"Hong Kong","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","doi":"10.5194/isprs-archives-XLII-3-W1-141-2017","usgsCitation":"Sutton, S.S., Boyd, A., Kirk, R.L., Cook, D., Backer, J., Fennema, A., Heyd, R., McEwen, A., and Mirchandani, S., 2017, Correcting spacecraft jitter in HiRISE images, in Proceedings: 2017 international symposium on planetary remote sensing and mapping (Volume XLII-3/W1), v. XLII-3/W1, Hong Kong, August 13-16, 2017, p. 141-148, https://doi.org/10.5194/isprs-archives-XLII-3-W1-141-2017.","productDescription":"8 p.","startPage":"141","endPage":"148","ipdsId":"IP-088316","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":461337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xlii-3-w1-141-2017","text":"Publisher Index Page"},{"id":351462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"XLII-3/W1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-25","publicationStatus":"PW","scienceBaseUri":"5afee7abe4b0da30c1bfc343","contributors":{"editors":[{"text":"Wu, B.","contributorId":23362,"corporation":false,"usgs":true,"family":"Wu","given":"B.","email":"","affiliations":[],"preferred":false,"id":730983,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Di, K.","contributorId":61936,"corporation":false,"usgs":true,"family":"Di","given":"K.","email":"","affiliations":[],"preferred":false,"id":730984,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Oberst, J.","contributorId":103427,"corporation":false,"usgs":true,"family":"Oberst","given":"J.","email":"","affiliations":[],"preferred":false,"id":730985,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Karachevtseva, I.","contributorId":147166,"corporation":false,"usgs":false,"family":"Karachevtseva","given":"I.","email":"","affiliations":[],"preferred":false,"id":730986,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Sutton, S. S.","contributorId":202341,"corporation":false,"usgs":false,"family":"Sutton","given":"S.","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, A.K.","contributorId":202342,"corporation":false,"usgs":false,"family":"Boyd","given":"A.K.","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":728154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Debbie 0000-0001-9973-9929","orcid":"https://orcid.org/0000-0001-9973-9929","contributorId":202343,"corporation":false,"usgs":true,"family":"Cook","given":"Debbie","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Backer, Jean 0000-0002-6010-3867","orcid":"https://orcid.org/0000-0002-6010-3867","contributorId":202344,"corporation":false,"usgs":true,"family":"Backer","given":"Jean","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fennema, A.","contributorId":202345,"corporation":false,"usgs":false,"family":"Fennema","given":"A.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728157,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heyd, R.","contributorId":202346,"corporation":false,"usgs":false,"family":"Heyd","given":"R.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728158,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McEwen, A.S.","contributorId":202347,"corporation":false,"usgs":false,"family":"McEwen","given":"A.S.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728159,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mirchandani, S.D.","contributorId":202348,"corporation":false,"usgs":false,"family":"Mirchandani","given":"S.D.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728160,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70195141,"text":"70195141 - 2017 - Earthquake early Warning ShakeAlert system: West coast wide production prototype","interactions":[],"lastModifiedDate":"2018-02-08T13:31:36","indexId":"70195141","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake early Warning ShakeAlert system: West coast wide production prototype","docAbstract":"Earthquake early warning (EEW) is an application of seismological science that can give people, as well as mechanical and electrical systems, up to tens of seconds to take protective actions before peak earthquake shaking arrives at a location. Since 2006, the U.S. Geological Survey has been working in collaboration with several partners to develop EEW for the United States. The goal is to create and operate an EEW system, called ShakeAlert, for the highest risk areas of the United States, starting with the West Coast states of California, Oregon, and Washington. In early 2016, the Production Prototype v.1.0 was established for California; then, in early 2017, v.1.2 was established for the West Coast, with earthquake notifications being distributed to a group of beta users in California, Oregon, and Washington. The new ShakeAlert Production Prototype was an outgrowth from an earlier demonstration EEW system that began sending test notifications to selected users in California in January 2012. ShakeAlert leverages the considerable physical, technical, and organizational earthquake monitoring infrastructure of the Advanced National Seismic System, a nationwide federation of cooperating seismic networks. When fully implemented, the ShakeAlert system may reduce damage and injury caused by large earthquakes, improve the nation’s resilience, and speed recovery.
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,{"id":70195185,"text":"70195185 - 2017 - The effect of beaver ponds on water quality in rural coastal plain streams","interactions":[],"lastModifiedDate":"2018-02-07T13:29:53","indexId":"70195185","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"The effect of beaver ponds on water quality in rural coastal plain streams","docAbstract":"We compared water-quality effects of 13 beaver ponds on adjacent free-flowing control reaches in the Coastal Plain of rural North Carolina. We measured concentrations of nitrate, ammonium, soluble reactive phosphorus (SRP), and suspended sediment (SS) upstream and downstream of paired ponds and control reaches. Nitrate and SS concentrations decreased, ammonium concentrations increased, and SRP concentrations were unaffected downstream of the ponds and relative to the control reaches. The pond effect on nitrate concentration was a reduction of 112 ± 55 μg-N/L (19%) compared to a control-reach—influenced reduction of 28 ± 17 μg-N/L. The pond effect on ammonium concentration was an increase of 9.47 ± 10.9 μg-N/L (59%) compared to the control-reach—influenced reduction of 1.49 ± 1.37 μg-N/L. The pond effect on SS concentration was a decrease of 3.41 ± 1.68 mg/L (40%) compared to a control-reach—influenced increase of 0.56 ± 0.27 mg/L. Ponds on lower-order streams reduced nitrate concentrations by greater amounts compared to those in higher-order streams. Older ponds reduced SS concentrations by greater amounts compared to younger ponds. The findings of this study indicate that beaver ponds provide water-quality benefits to rural Coastal Plain streams by reducing concentrations of nitrate and suspended sediment.
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