{"pageNumber":"564","pageRowStart":"14075","pageSize":"25","recordCount":40783,"records":[{"id":70160115,"text":"ofr20131280A1 - 2015 - Geologic map of Mauritania (phase V, deliverables 51a, 51b, and 51c)","interactions":[{"subject":{"id":70160115,"text":"ofr20131280A1 - 2015 - Geologic map of Mauritania (phase V, deliverables 51a, 51b, and 51c)","indexId":"ofr20131280A1","publicationYear":"2015","noYear":false,"chapter":"A1","title":"Geologic map of Mauritania (phase V, deliverables 51a, 51b, and 51c)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V"},"id":1}],"isPartOf":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V"},"lastModifiedDate":"2022-12-08T15:49:09.931377","indexId":"ofr20131280A1","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1280","chapter":"A1","title":"Geologic map of Mauritania (phase V, deliverables 51a, 51b, and 51c)","docAbstract":"<p>In 1996, at the request of the Government of the Islamic Republic of Mauritania, a team of U.S. Geological Survey (USGS) scientists produced a strategic plan for the acquisition, improvement and modernization of multidisciplinary sets of data to support the growth of the Mauritanian minerals sector and to highlight the geological and mineral exploration potential of the country. In 1999, the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania implemented a program for the acquisition of the recommended basic geoscientific information, termed the first Projet de Renforcement Institutionnel du Secteur Minier (Project for Institutional Capacity Building in the Mining Sector, PRISM-I). As a result of the PRISM-I efforts, a great deal of new geological, geophysical, geochemical, remote sensing, and hydrological data became available for evaluation and synthesis. However, the Ministry of Petroleum, Energy, and Mines recognized that additional work was required to extract the full benefit of the data before it could be of greatest use to the international community and of benefit to the Mauritanian minerals and development sector.</p>\n<p>To achieve this benefit, the Ministry of Petroleum, Energy, and Mines implemented a second Projet de Renforcement Institutionnel du Secteur Minier (PRISM-II) in 2006 to consolidate, synthesize, and interpret all of the existing data, create a new 1:1,000,000 scale geologic map, and define the mineral resource potential of the country. A consortium in which the USGS was the lead scientific agency carried out the majority of the PRISM-II work. In 2008, the USGS Mauritania Minerals Project was interrupted due to political changes in Mauritania. PRISM-II work resumed in 2011, and was completed in 2013 with the delivery of over 40 separate written reports and plates, an access file containing the Mauritanian National Mineral Deposits Database, and an interactive GIS containing all of the multi-disciplinary data and interpretive areas of mineral resource potential in Mauritania.</p>\n<p>This report contains the USGS results of the PRISM-II Mauritania Minerals Project and is presented in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania. The Report is composed of separate chapters consisting of multidisciplinary interpretive reports with accompanying plates on the geology, structure, geochronology, geophysics, hydrogeology, geochemistry, remote sensing (Landsat TM and ASTER), and SRTM and ASTER digital elevation models of Mauritania. The syntheses of these multidisciplinary data formed the basis for additional chapters containing interpretive reports on 12 different commodities and deposit types known to occur in Mauritania, accompanied by countrywide mineral resource potential maps of each commodity/deposit type. The commodities and deposit types represented include: (1) Ni, Cu, PGE, and Cr deposits hosted in ultramafic rocks; (2) orogenic, Carlin-like, and epithermal gold deposits; (3) polymetallic Pb-Zn-Cu vein deposits; (4) sediment-hosted Pb-Zn-Ag deposits of the SEDEX and Mississippi Valley-type; (5) sediment-hosted copper deposits; ( 6) volcanogenic massive sulfide deposits; (7) iron oxide copper-gold deposits; (8) uranium deposits; (9) Algoma-, Superior-, and oolitic-type iron deposits; (10) shoreline Ti-Zr placer deposits; (11) incompatible element deposits hosted in pegmatites, alkaline rocks, and carbonatites, and; (12) industrial mineral deposits. Additional chapters include the Mauritanian National Mineral Deposits Database are accompanied by an explanatory text and the Mauritania Minerals Project GIS that contains all of the interpretive layers created by USGS scientists. Raw data not in the public domain may be obtained from the Ministry of Petroleum, Energy, and Mines in Nouakchott, Mauritania.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Second projet de renforcement institutionnel du secteur minier de la République  Islamique de Mauritanie (PRISM-II) (Open File Report 2013-1280)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131280A1","collaboration":"Prepared in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania","usgsCitation":"Bradley, D., Motts, H., Horton, J.D., Giles, S.A., and Taylor, C.D., 2015, Geologic map of Mauritania (phase V, deliverables 51a, 51b, and 51c): U.S. Geological Survey Open-File Report 2013-1280, 3 Plates: 57.99 x 60.00 inches or smaller; Data; Metadata, https://doi.org/10.3133/ofr20131280A1.","productDescription":"3 Plates: 57.99 x 60.00 inches or smaller; Data; Metadata","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056943","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":319009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":319008,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1280/GIS_and_Maps/Chapter_A1_deliverable_51-Geology/","text":"Map, Data, and Metadata"}],"country":"Mauritania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-12.17075,14.61683],[-12.83066,15.30369],[-13.43574,16.03938],[-14.09952,16.3043],[-14.57735,16.59826],[-15.13574,16.58728],[-15.62367,16.36934],[-16.12069,16.45566],[-16.4631,16.13504],[-16.54971,16.67389],[-16.27055,17.16696],[-16.14635,18.10848],[-16.25688,19.09672],[-16.37765,19.59382],[-16.27784,20.09252],[-16.53632,20.56787],[-17.06342,20.99975],[-16.84519,21.33332],[-12.9291,21.32707],[-13.11875,22.77122],[-12.87422,23.28483],[-11.93722,23.37459],[-11.96942,25.93335],[-8.68729,25.88106],[-8.6844,27.39574],[-4.92334,24.97457],[-6.45379,24.95659],[-5.97113,20.64083],[-5.48852,16.3251],[-5.31528,16.20185],[-5.53774,15.50169],[-9.55024,15.4865],[-9.70026,15.26411],[-10.08685,15.33049],[-10.65079,15.13275],[-11.3491,15.41126],[-11.66608,15.38821],[-11.83421,14.7991],[-12.17075,14.61683]]]},\"properties\":{\"name\":\"Mauritania\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56ed26b3e4b0f59b85db0a0c","contributors":{"authors":[{"text":"Bradley, Dwight 0000-0001-9116-5289 bradleyorchard2@gmail.com","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":2358,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","email":"bradleyorchard2@gmail.com","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":581945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Motts, Holly","contributorId":149746,"corporation":false,"usgs":false,"family":"Motts","given":"Holly","affiliations":[{"id":17810,"text":"Previously USGS, Anchorage, Alaska","active":true,"usgs":false}],"preferred":false,"id":581946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, John D. 0000-0003-2969-9073 jhorton@usgs.gov","orcid":"https://orcid.org/0000-0003-2969-9073","contributorId":1227,"corporation":false,"usgs":true,"family":"Horton","given":"John","email":"jhorton@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":581947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giles, Stuart A. 0000-0002-8696-5078 sgiles@usgs.gov","orcid":"https://orcid.org/0000-0002-8696-5078","contributorId":1233,"corporation":false,"usgs":true,"family":"Giles","given":"Stuart","email":"sgiles@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":581948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Cliff D. 0000-0001-6376-6298 ctaylor@usgs.gov","orcid":"https://orcid.org/0000-0001-6376-6298","contributorId":1283,"corporation":false,"usgs":true,"family":"Taylor","given":"Cliff","email":"ctaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":581949,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193264,"text":"70193264 - 2015 - Reaction modeling of drainage quality in the Duluth Complex, northern Minnesota, USA","interactions":[],"lastModifiedDate":"2017-11-20T14:22:53","indexId":"70193264","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reaction modeling of drainage quality in the Duluth Complex, northern Minnesota, USA","docAbstract":"<p>Reaction modeling can be a valuable tool in predicting the long-term behavior of waste material if representative rate constants can be derived from long-term leaching tests or other approaches. Reaction modeling using the REACT program of the Geochemist’s Workbench was conducted to evaluate long-term drainage quality affected by disseminated Cu-Ni-(Co-)-PGM sulfide mineralization in the basal zone of the Duluth Complex where significant resources have been identified. Disseminated sulfide minerals, mostly pyrrhotite and Cu-Fe sulfides, are hosted by clinopyroxene-bearing troctolites. Carbonate minerals are scarce to non-existent. Long-term simulations of up to 20 years of weathering of tailings used two different sets of rate constants: one based on published laboratory single-mineral dissolution experiments, and one based on leaching experiments using bulk material from the Duluth Complex conducted by the Minnesota Department of Natural Resources (MNDNR). The simulations included only plagioclase, olivine, clinopyroxene, pyrrhotite, and water as starting phases. Dissolved oxygen concentrations were assumed to be in equilibrium with atmospheric oxygen. The simulations based on the published single-mineral rate constants predicted that pyrrhotite would be effectively exhausted in less than two years and pH would rise accordingly. In contrast, only 20 percent of the pyrrhotite was depleted after two years using the MNDNR rate constants. Predicted pyrrhotite depletion by the simulation based on the MNDNR rate constant matched well with published results of laboratory tests on tailings. Modeling long-term weathering of mine wastes also can provide important insights into secondary reactions that may influence the permeability of tailings and thereby affect weathering behavior. Both models predicted the precipitation of a variety of secondary phases including goethite, gibbsite, and clay (nontronite).</p>","conferenceTitle":"10th International Conference on Acid Rock Drainage & IMWA Annual Conference","language":"English","publisher":"IRWA","usgsCitation":"Seal, R.R., Lapakko, K., Piatak, N.M., and Woodruff, L.G., 2015, Reaction modeling of drainage quality in the Duluth Complex, northern Minnesota, USA, 10th International Conference on Acid Rock Drainage & IMWA Annual Conference, 10 p.","productDescription":"10 p.","ipdsId":"IP-063220","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fec7e4b06e28e9c25357","contributors":{"authors":[{"text":"Seal, Robert R. 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":193011,"corporation":false,"usgs":true,"family":"Seal","given":"Robert","email":"rseal@usgs.gov","middleInitial":"R.","affiliations":[{"id":250,"text":"Eastern Water Science Field Team","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lapakko, Kim","contributorId":199239,"corporation":false,"usgs":false,"family":"Lapakko","given":"Kim","email":"","affiliations":[],"preferred":false,"id":718474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718476,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192552,"text":"70192552 - 2015 - An assessment of sauger population characteristics on two Tennessee River reservoirs","interactions":[],"lastModifiedDate":"2017-10-26T11:44:28","indexId":"70192552","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of sauger population characteristics on two Tennessee River reservoirs","docAbstract":"<p> In 1992, a 356-mm minimum length limit (MLL) was enacted on Kentucky Lake and a 381-mm MLL was enacted on Watts Bar Lake, two mainstem reservoirs on the Tennessee River, in an attempt to reduce exploitation and improve the size structure of the sauger (Sander canadensis) populations. The objectives of this study were to compare sauger population characteristics immediately following (1993–1994) and 15 years after (2008–2009) the regulations took effect, examine spatial and temporal patterns in growth, examine recruitment patterns in each reservoir using a recruitment variability index (RVI), and assess the current likelihood of overfishing. Saugers were collected with experimental gill nets in each reservoir and aged using otoliths. A Beverton-Holt yield-per-recruit model was used to simulate angler yields and estimate the likelihood of growth overfishing. Recruitment overfishing was assessed by examining spawning potential ratios under various MLL and exploitation rate scenarios. The sauger population in Kentucky Lake experienced modest improvements in size and age structure over the 15 years following enactment of more restrictive harvest regulations, whereas the population in Watts Bar Lake changed very little, if at all, in terms of size and age structure. Mean lengths of age-3 sauger were significantly greater in Watts Bar Lake than in Kentucky Lake in both time periods. The RVI values indicated that between 1993 and 2009 the sauger in Kentucky Lake displayed more stable recruitment than the Watts Bar Lake population. Neither population exhibited signs of growth overfishing in 2008–09 under the current length limits; however, the Watts Bar Lake population would be susceptible to recruitment overfishing at high (&gt;40%) exploitation rates if natural mortality was as low as 20%. These analyses have demonstrated that the Watts Bar Lake and Kentucky Lake populations, in terms of size and age structure, have remained relatively stable over 15+ years and the MLLs appear to be conserving the stocks.</p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Graham, C.L., Bettoli, P.W., and Churchill, T.N., 2015, An assessment of sauger population characteristics on two Tennessee River reservoirs: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 2, p. 101-108.","productDescription":"8 p.","startPage":"101","endPage":"108","ipdsId":"IP-057497","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347454,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.seafwa.org/publications/journal/?id=94"}],"country":"United States","otherGeospatial":"Tennessee River","volume":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07eb8ce4b09af898c8ccf4","contributors":{"authors":[{"text":"Graham, Christy L.","contributorId":198476,"corporation":false,"usgs":false,"family":"Graham","given":"Christy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettoli, Phillip William pbettoli@usgs.gov","contributorId":1919,"corporation":false,"usgs":true,"family":"Bettoli","given":"Phillip","email":"pbettoli@usgs.gov","middleInitial":"William","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Churchill, Timothy N.","contributorId":190276,"corporation":false,"usgs":false,"family":"Churchill","given":"Timothy","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":716189,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148463,"text":"70148463 - 2015 - Lake Ontario benthic prey fish assessment, 2014","interactions":[],"lastModifiedDate":"2020-03-05T12:10:03","indexId":"70148463","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"title":"Lake Ontario benthic prey fish assessment, 2014","docAbstract":"<p>Benthic prey fishes are an important component of the Lake Ontario fish community and serve as vectors that move energy from benthic invertebrates into native and introduced sport fishes. Since the 1970’s, the USGS Lake Ontario Biological Station has assessed benthic fish populations and community dynamics with bottom trawls at depths ranging from 8 m out to depths of 150-225 m along the south and eastern shores of Lake Ontario. From the late 1970’s through the early 2000’s the benthic fish community was dominated by Slimy Sculpin <i>Cottus cognatus</i>, but in 2004 non-native Round Goby <i>Neogobius melanostomus</i> abundance increased and, since then Round Goby have generally been the dominant benthic species. Over the past 10 years the native Deepwater Sculpin <i>Myoxocephalus</i> <i>thompsonii</i>, once considered absent from the lake, have increased. Presently their lake-wide biomass density is equal to, or larger than, Slimy Sculpin. Species-specific assessments found Slimy and Deepwater Sculpin abundance increased slightly in 2014 relative to 2013, while changes in Round Goby abundance differed between spring and fall survey. Recent survey modifications have increased our understanding of benthic prey fish abundance and behavior in Lake Ontario. For instance, increasing the maximum tow depth to 225 m in 2014 improved our understanding of Deepwater Sculpin distribution in this rarely sampled lake habitat.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2014 Annual Report Bureau of Fisheries Lake Ontario Unit and St. Lawrence River Unit to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 24-25, 2015","conferenceLocation":"Ypsilanti, MI","language":"English","publisher":"New York State Department of Environmental Conservation Division of Fish, Wildlife and Marine Resources","publisherLocation":"Albany, NY","usgsCitation":"Weidel, B., and Walsh, M., 2015, Lake Ontario benthic prey fish assessment, 2014: NYSDEC Lake Ontario Annual Report , 6 p.","productDescription":"6 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]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a8012cfe4b00f54eb298eec","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":548329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":728180,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70162056,"text":"70162056 - 2015 - Asteroid photometry","interactions":[],"lastModifiedDate":"2017-04-20T14:09:38","indexId":"70162056","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Asteroid photometry","docAbstract":"Asteroid photometry has three major applications: providing clues about asteroid surface physical properties and compositions, facilitating photometric corrections, and helping design and plan ground-based and spacecraft observations.  The most significant advances in asteroid photometry in the past decade were driven by spacecraft observations that collected spatially resolved imaging and spectroscopy data.  In the mean time, laboratory measurements and theoretical developments are revealing controversies regarding the physical interpretations of models and model parameter values.  We will review the new developments in asteroid photometry that have occurred over the past decade in the three complementary areas of observations, laboratory work, and theory.  Finally we will summarize and discuss the implications of recent findings.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Asteroids IV","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Univ. of Arizona Press","publisherLocation":"Tuscon, AZ","doi":"10.2458/azu_uapress_9780816532131-ch007","isbn":"978-0-8165-3213-1","usgsCitation":"Li, J., Helfenstein, P., Buratti, B.J., Takir, D., and Clark, B.E., 2015, Asteroid photometry, chap. <i>of</i> Asteroids IV, p. 129-150, https://doi.org/10.2458/azu_uapress_9780816532131-ch007.","productDescription":"32 p.","startPage":"129","endPage":"150","ipdsId":"IP-066967","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":472574,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1502.06302","text":"External Repository"},{"id":340053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340052,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.uapress.arizona.edu/Books/bid2555.htm","text":"Book"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f9c8cee4b0b7ea545240f1","contributors":{"editors":[{"text":"Michel, Patrick","contributorId":190874,"corporation":false,"usgs":false,"family":"Michel","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":692323,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"DeMeo, Francesca E.","contributorId":190875,"corporation":false,"usgs":false,"family":"DeMeo","given":"Francesca","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":692324,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Bottke, William F.","contributorId":191219,"corporation":false,"usgs":false,"family":"Bottke","given":"William","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":692325,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Li, Jian-Yang","contributorId":152191,"corporation":false,"usgs":false,"family":"Li","given":"Jian-Yang","email":"","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":588415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helfenstein, Paul","contributorId":152193,"corporation":false,"usgs":false,"family":"Helfenstein","given":"Paul","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":588417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buratti, Bonnie J.","contributorId":152192,"corporation":false,"usgs":false,"family":"Buratti","given":"Bonnie","email":"","middleInitial":"J.","affiliations":[{"id":18876,"text":"California Institute of Technology, Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":588416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takir, Driss dtakir@usgs.gov","contributorId":152190,"corporation":false,"usgs":true,"family":"Takir","given":"Driss","email":"dtakir@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":588414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Beth Ellen","contributorId":152194,"corporation":false,"usgs":false,"family":"Clark","given":"Beth","email":"","middleInitial":"Ellen","affiliations":[{"id":18877,"text":"Ithaca College","active":true,"usgs":false}],"preferred":false,"id":588418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194118,"text":"70194118 - 2015 - Seafloor geomorphic manifestations of gas venting and shallow subbottom gas hydrate occurrences","interactions":[],"lastModifiedDate":"2017-11-17T10:31:31","indexId":"70194118","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seafloor geomorphic manifestations of gas venting and shallow subbottom gas hydrate occurrences","docAbstract":"<p><span>High-resolution multibeam bathymetry data collected with an autonomous underwater vehicle (AUV) complemented by compressed high-intensity radar pulse (Chirp) profiles and remotely operated vehicle (ROV) observations and sediment sampling reveal a distinctive rough topography associated with seafloor gas venting and/or near-subsurface gas hydrate accumulations. The surveys provide 1 m bathymetric grids of deep-water gas venting sites along the best-known gas venting areas along the Pacific margin of North America, which is an unprecedented level of resolution. Patches of conspicuously rough seafloor that are tens of meters to hundreds of meters across and occur on larger seafloor topographic highs characterize seepage areas. Some patches are composed of multiple depressions that range from 1 to 100 m in diameter and are commonly up to 10 m deeper than the adjacent seafloor. Elevated mounds with relief of &gt;10 m and fractured surfaces suggest that seafloor expansion also occurs. Ground truth observations show that these areas contain broken pavements of methane-derived authigenic carbonates with intervening topographic lows. Patterns seen in Chirp profiles, ROV observations, and core data suggest that the rough topography is produced by a combination of diagenetic alteration, focused erosion, and inflation of the seafloor. This characteristic texture allows previously unknown gas venting areas to be identified within these surveys. A conceptual model for the evolution of these features suggests that these morphologies develop slowly over protracted periods of slow seepage and shows the impact of gas venting and gas hydrate development on the seafloor morphology.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01012.1","usgsCitation":"Paull, C.K., Caress, D.W., Thomas, H., Lundsten, E.M., Anderson, K., Gwiazda, R., Riedel, M., McGann, M., and Herguera, J., 2015, Seafloor geomorphic manifestations of gas venting and shallow subbottom gas hydrate occurrences: Geosphere, v. 11, no. 2, p. 491-513, https://doi.org/10.1130/GES01012.1.","productDescription":"23 p.","startPage":"491","endPage":"513","ipdsId":"IP-053379","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01012.1","text":"Publisher Index Page"},{"id":349049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60febde4b06e28e9c25347","contributors":{"authors":[{"text":"Paull, C. K.","contributorId":200384,"corporation":false,"usgs":false,"family":"Paull","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caress, D. W.","contributorId":200385,"corporation":false,"usgs":false,"family":"Caress","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":722147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Hans","contributorId":167475,"corporation":false,"usgs":false,"family":"Thomas","given":"Hans","email":"","affiliations":[{"id":24714,"text":"Monterey Bay Aquarium Research Institite","active":true,"usgs":false}],"preferred":false,"id":722148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lundsten, Eve M.","contributorId":147191,"corporation":false,"usgs":false,"family":"Lundsten","given":"Eve","email":"","middleInitial":"M.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":722149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Kayce","contributorId":173761,"corporation":false,"usgs":false,"family":"Anderson","given":"Kayce","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":722150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gwiazda, Roberto","contributorId":147193,"corporation":false,"usgs":false,"family":"Gwiazda","given":"Roberto","email":"","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":722151,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riedel, M","contributorId":200386,"corporation":false,"usgs":false,"family":"Riedel","given":"M","affiliations":[],"preferred":false,"id":722152,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","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":722145,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herguera, J C","contributorId":200387,"corporation":false,"usgs":false,"family":"Herguera","given":"J C","affiliations":[],"preferred":false,"id":722153,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70189209,"text":"70189209 - 2015 - Processes limiting depth of arroyo incision: Examples from the Rio Puerco, New Mexico","interactions":[],"lastModifiedDate":"2017-07-06T15:38:26","indexId":"70189209","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Processes limiting depth of arroyo incision: Examples from the Rio Puerco, New Mexico","docAbstract":"We examined channel flow and suspended sediment transport processes within the lower Rio Puerco arroyo, located in semi-arid north-central New Mexico, in an attempt to answer the question: Why did arroyo incision stop by about 1936? Channel flow model results show that in the narrow, incised channel of 1936, the boundary shear stress during a large flood was highest over the lower banks and bank toes, causing a higher potential for erosion of these surfaces than of the channel bed. This would have caused the channel (and arroyo) to widen, and the higher sediment fluxes from those surfaces would have inhibited the capacity of the flow to erode the bed. We found that volumes of sediment delivered to the channel from local erosion of the arroyo wall did not exceed the capacity of the flow to transport sediment, including sand, in suspension. However, sediment supplied from erosion upstream of our study reach may have reduced the capacity of the flow to erode the bed. Our results suggest that arroyo incision ended with the observed reduction in flood peak magnitude, frequency, and duration after 1941.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, Nevada","language":"English","publisher":"ACWI Subcommittee on Sedimentation and Subcommittee on Hydrology","usgsCitation":"Griffin, E.R., and Friedman, J.M., 2015, Processes limiting depth of arroyo incision: Examples from the Rio Puerco, New Mexico, <i>in</i> Proceedings of the 5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference, Reno, Nevada, April 19-23, 2015, p. 797-808.","productDescription":"12 p.","startPage":"797","endPage":"808","ipdsId":"IP-061060","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343368,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c41e4b0d1f9f057e35a","contributors":{"authors":[{"text":"Griffin, Eleanor R. 0000-0001-6724-9853 egriffin@usgs.gov","orcid":"https://orcid.org/0000-0001-6724-9853","contributorId":1775,"corporation":false,"usgs":true,"family":"Griffin","given":"Eleanor","email":"egriffin@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":703507,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188386,"text":"70188386 - 2015 - Kinematics of shallow backthrusts in the Seattle fault zone, Washington State","interactions":[],"lastModifiedDate":"2017-06-07T14:28:11","indexId":"70188386","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Kinematics of shallow backthrusts in the Seattle fault zone, Washington State","docAbstract":"<p><span>Near-surface thrust fault splays and antithetic backthrusts at the tips of major thrust fault systems can distribute slip across multiple shallow fault strands, complicating earthquake hazard analyses based on studies of surface faulting. The shallow expression of the fault strands forming the Seattle fault zone of Washington State shows the structural relationships and interactions between such fault strands. Paleoseismic studies document an ∼7000 yr history of earthquakes on multiple faults within the Seattle fault zone, with some backthrusts inferred to rupture in small (M ∼5.5–6.0) earthquakes at times other than during earthquakes on the main thrust faults. We interpret seismic-reflection profiles to show three main thrust faults, one of which is a blind thrust fault directly beneath downtown Seattle, and four small backthrusts within the Seattle fault zone. We then model fault slip, constrained by shallow deformation, to show that the Seattle fault forms a fault propagation fold rather than the alternatively proposed roof thrust system. Fault slip modeling shows that back-thrust ruptures driven by moderate (M ∼6.5–6.7) earthquakes on the main thrust faults are consistent with the paleoseismic data. The results indicate that paleoseismic data from the back-thrust ruptures reveal the times of moderate earthquakes on the main fault system, rather than indicating smaller (M ∼5.5–6.0) earthquakes involving only the backthrusts. Estimates of cumulative shortening during known Seattle fault zone earthquakes support the inference that the Seattle fault has been the major seismic hazard in the northern Cascadia forearc in the late Holocene.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01179.1","usgsCitation":"Pratt, T.L., Troost, K., Odum, J., and Stephenson, W.J., 2015, Kinematics of shallow backthrusts in the Seattle fault zone, Washington State: Geosphere, v. 11, no. 6, p. 1948-1974, https://doi.org/10.1130/GES01179.1.","productDescription":"27 p. ","startPage":"1948","endPage":"1974","ipdsId":"IP-066951","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":472440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01179.1","text":"Publisher Index Page"},{"id":342255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Seattle ","otherGeospatial":"Seattle Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.365234375,\n              46.604167162931844\n            ],\n            [\n              -121.61865234375,\n              46.604167162931844\n            ],\n            [\n              -121.61865234375,\n              48.23930899024907\n            ],\n            [\n              -124.365234375,\n              48.23930899024907\n            ],\n            [\n              -124.365234375,\n              46.604167162931844\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-12","publicationStatus":"PW","scienceBaseUri":"593910b3e4b0764e6c5e88bb","contributors":{"authors":[{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Troost, K.G.","contributorId":192716,"corporation":false,"usgs":false,"family":"Troost","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":697489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Odum, Jackson K. 0000-0003-4697-2430 odum@usgs.gov","orcid":"https://orcid.org/0000-0003-4697-2430","contributorId":1365,"corporation":false,"usgs":true,"family":"Odum","given":"Jackson K.","email":"odum@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697491,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187172,"text":"70187172 - 2015 - Drought monitoring and assessment: Remote sensing and modeling approaches for the Famine Early Warning Systems Network","interactions":[],"lastModifiedDate":"2017-04-25T15:44:02","indexId":"70187172","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Drought monitoring and assessment: Remote sensing and modeling approaches for the Famine Early Warning Systems Network","docAbstract":"<p><span>Drought monitoring is an essential component of drought risk management. It is usually carried out using drought indices/indicators that are continuous functions of rainfall and other hydrometeorological variables. This chapter presents a few examples of how remote sensing and hydrologic modeling techniques are being used to generate a suite of drought monitoring indicators at dekadal (10-day), monthly, seasonal, and annual time scales for several selected regions around the world. Satellite-based rainfall estimates are being used to produce drought indicators such as standardized precipitation index, dryness indicators, and start of season analysis. The Normalized Difference Vegetation Index is being used to monitor vegetation condition. Several satellite data products are combined using agrohydrologic models to produce multiple short- and long-term indicators of droughts. All the data sets are being produced and updated in near-real time to provide information about the onset, progression, extent, and intensity of drought conditions. The data and products produced are available for download from the Famine Early Warning Systems Network (FEWS NET) data portal at </span><span id=\"interref1\" class=\"interref\" data-locatortype=\"url\" data-locatorkey=\"http://earlywarning.usgs.gov\"><a class=\"cExLink\" onclick=\"var newWidth=((window.screen.availWidth*90)/100);var newHeight=((window.screen.availHeight*90)/100);var parms = 'status=yes,location=yes,' + 'scrollbars=yes,resizable=yes,directories=yes,' + 'toolbar=yes,menubar=yes,' + 'width=' + newWidth + ',height=' + newHeight + ',screenX=10,screenY=10';var externalWin; externalWin=window.open('','externObjLink',parms); externalWin.focus()\" href=\"http://earlywarning.usgs.gov/\" target=\"externObjLink\" data-url=\"/science/RedirectURL?_method=externObjLink&amp;_locator=url&amp;_cdi=311605&amp;_isbn=9780123948465&amp;_origin=article&amp;_zone=art_page&amp;_targetURL=http%253A%252F%252Fearlywarning.usgs.gov\" data-itrprs=\"Y\" data-mce-href=\"http://earlywarning.usgs.gov/\">http://earlywarning.usgs.gov</a></span><span>. The availability of timely information and products support the decision-making processes in drought-related hazard assessment, monitoring, and management with the FEWS NET. The drought-hazard monitoring approach perfected by the U.S. Geological Survey for FEWS NET through the integration of satellite data and hydrologic modeling can form the basis for similar decision support systems. Such</span><span id=\"p234\"></span><span> systems can operationally produce reliable and useful regional information that is relevant for local, district-level decision making.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-394846-5.00009-6","usgsCitation":"Senay, G., Velpuri, N.M., Bohms, S., Budde, M., Young, C., Rowland, J., and Verdin, J., 2015, Drought monitoring and assessment: Remote sensing and modeling approaches for the Famine Early Warning Systems Network, p. 233-262, https://doi.org/10.1016/B978-0-12-394846-5.00009-6.","productDescription":"30 p.","startPage":"233","endPage":"262","ipdsId":"IP-055782","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":340409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006064e4b0e85db3a5dde3","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":692915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":692916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":692917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budde, Michael 0000-0002-9098-2751 mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":166756,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":692918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Claudia 0000-0002-0859-7206 claudia.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":191382,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"claudia.young.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":692919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":692920,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Verdin, James 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":145830,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":692921,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70186003,"text":"70186003 - 2015 - Beyond temperature: Clumped isotope signatures in dissolved inorganic carbon species and the influence of solution chemistry on carbonate mineral composition","interactions":[],"lastModifiedDate":"2017-03-30T12:10:35","indexId":"70186003","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Beyond temperature: Clumped isotope signatures in dissolved inorganic carbon species and the influence of solution chemistry on carbonate mineral composition","docAbstract":"<p><span>“Clumped-isotope” thermometry is an emerging tool to probe the temperature history of surface and subsurface environments based on measurements of the proportion of </span><sup>13</sup><span>C and </span><sup>18</sup><span>O isotopes bound to each other within carbonate minerals in </span><sup>13</sup><span>C</span><sup>18</sup><span>O</span><sup>16</sup><span>O</span><sub>2</sub><sup>2-</sup><span>&nbsp;groups (heavy isotope “clumps”). Although most clumped isotope geothermometry implicitly presumes carbonate crystals have attained lattice equilibrium (i.e., thermodynamic equilibrium for a mineral, which is independent of solution chemistry), several factors other than temperature, including dissolved inorganic carbon (DIC) speciation may influence mineral isotopic signatures. Therefore we used a combination of approaches to understand the potential influence of different variables on the clumped isotope (and oxygen isotope) composition of minerals.</span></p><p><span>We conducted witherite precipitation experiments at a single temperature and at varied pH to empirically determine <sup>13</sup><span>C-</span><sup>18</sup><span>O bond ordering (Δ</span><sub>47</sub><span>) and δ</span><sup>18</sup><span>O of CO</span><sub>3</sub><sup>2-</sup><span>&nbsp;and HCO</span><sub>3</sub><sup>-&nbsp;</sup><span>molecules at a 25&nbsp;°C equilibrium. </span><i>Ab initio</i><span> cluster models based on density functional theory were used to predict equilibrium </span><sup>13</sup><span>C-</span><sup>18</sup><span>O bond abundances and δ</span><sup>18</sup><span>O of different DIC species and minerals as a function of temperature. Experiments and theory indicate Δ</span><sub>47</sub><span> and δ</span><sup>18</sup><span>O compositions of CO</span><sub>3</sub><sup>2-</sup><span>&nbsp;and HCO</span><sub>3-</sub><span>&nbsp;ions are significantly different from each other. Experiments constrain the Δ</span><sub>47-</sub><span>δ</span><sup>18</sup><span>O slope for a pH effect (0.011&nbsp;±&nbsp;0.001; 12&nbsp;⩾&nbsp;pH&nbsp;⩾&nbsp;7). Rapidly-growing temperate corals exhibit disequilibrium mineral isotopic signatures with a Δ</span><sub>47-</sub><span>δ</span><sup>18</sup><span>O slope of 0.011&nbsp;±&nbsp;0.003, consistent with a pH effect.</span></span></p><p><span><span>Our theoretical calculations for carbonate minerals indicate equilibrium lattice calcite values for Δ<sub>47</sub><span> and δ</span><sup>18</sup><span>O are intermediate between HCO</span><sub>3</sub><sup>−</sup><span> and CO</span><sub>3</sub><sup>2−</sup><span>. We analyzed synthetic calcites grown at temperatures ranging from 0.5 to 50&nbsp;°C with and without the enzyme carbonic anhydrase present. This enzyme catalyzes oxygen isotopic exchange between DIC species and is present in many natural systems. The two types of experiments yielded statistically indistinguishable results, and these measurements yield a calibration that overlaps with our theoretical predictions for calcite at equilibrium. The slow-growing Devils Hole calcite exhibits Δ</span><sub>47</sub><span> and δ</span><sup>18</sup><span>O values consistent with lattice equilibrium.</span></span></span></p><p><span><span><span>Factors influencing DIC speciation (pH, salinity) and the timescale for DIC equilibration, as well as reactions at the mineral–solution interface, have the potential to influence clumped-isotope signatures and the δ<sup>18</sup><span>O of carbonate minerals. In fast-growing carbonate minerals, solution chemistry may be an important factor, particularly over extremes of pH and salinity. If a crystal grows too rapidly to reach an internal equilibrium (i.e., achieve the value for the temperature-dependent mineral lattice equilibrium), it may record the clumped-isotope signature of a DIC species (e.g., the temperature-dependent equilibrium of HCO</span><sub>3</sub><sup>−</sup><span>) or a mixture of DIC species, and hence record a disequilibrium mineral composition. For extremely slow-growing crystals, and for rapidly-grown samples grown at a pH where HCO</span><sub>3</sub><sup>-</sup><span>&nbsp;dominates the DIC pool at equilibrium, effects of solution chemistry are likely to be relatively small or negligible. In summary, growth environment, solution chemistry, surface equilibria, and precipitation rate may all play a role in dictating whether a crystal achieves equilibrium or disequilibrium clumped-isotope signatures.</span></span></span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2015.06.021","usgsCitation":"Tripati, A.K., Hill, P.S., Eagle, R.A., Mosenfelder, J.L., Tang, J., Schauble, E.A., Eiler, J.M., Zeebe, R.E., Uchikawa, J., Coplen, T.B., Ries, J.B., and Henry, D., 2015, Beyond temperature: Clumped isotope signatures in dissolved inorganic carbon species and the influence of solution chemistry on carbonate mineral composition: Geochimica et Cosmochimica Acta, v. 166, p. 344-371, https://doi.org/10.1016/j.gca.2015.06.021.","productDescription":"28 p.","startPage":"344","endPage":"371","ipdsId":"IP-053527","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472407,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2015.06.021","text":"Publisher Index Page"},{"id":338821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"166","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de1950e4b02ff32c699cab","contributors":{"authors":[{"text":"Tripati, Aradhna K.","contributorId":190120,"corporation":false,"usgs":false,"family":"Tripati","given":"Aradhna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":687317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Pamela S.","contributorId":190121,"corporation":false,"usgs":false,"family":"Hill","given":"Pamela","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":687318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagle, Robert A.","contributorId":190122,"corporation":false,"usgs":false,"family":"Eagle","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":687319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mosenfelder, Jed L.","contributorId":190123,"corporation":false,"usgs":false,"family":"Mosenfelder","given":"Jed","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":687320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Jianwu","contributorId":174890,"corporation":false,"usgs":false,"family":"Tang","given":"Jianwu","email":"","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":687325,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schauble, Edwin A.","contributorId":190124,"corporation":false,"usgs":false,"family":"Schauble","given":"Edwin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":687321,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eiler, John M.","contributorId":190125,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":687322,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zeebe, Richard E.","contributorId":190126,"corporation":false,"usgs":false,"family":"Zeebe","given":"Richard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":687323,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Uchikawa, Joji","contributorId":190127,"corporation":false,"usgs":false,"family":"Uchikawa","given":"Joji","email":"","affiliations":[],"preferred":false,"id":687324,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":687316,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ries, Justin B. 0000-0001-8427-206X","orcid":"https://orcid.org/0000-0001-8427-206X","contributorId":190128,"corporation":false,"usgs":false,"family":"Ries","given":"Justin","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":687326,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Henry, Drew","contributorId":190129,"corporation":false,"usgs":false,"family":"Henry","given":"Drew","email":"","affiliations":[],"preferred":false,"id":687327,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70126599,"text":"70126599 - 2015 - Spatial patterns of atmospheric deposition of nitrogen and sulfur using ion-exchange resin collectors in Rocky Mountain National Park, USA","interactions":[],"lastModifiedDate":"2016-07-08T15:10:40","indexId":"70126599","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of atmospheric deposition of nitrogen and sulfur using ion-exchange resin collectors in Rocky Mountain National Park, USA","docAbstract":"<p><span>Lakes and streams in Class 1 wilderness areas in the western United States (U.S.) are at risk from atmospheric deposition of nitrogen (N) and sulfur (S), and protection of these resources is mandated under the Federal Clean Air Act and amendments. Assessment of critical loads, which are the maximum exposure to pollution an area can receive without adverse effects on sensitive ecosystems, requires accurate deposition estimates. However, deposition is difficult and expensive to measure in high-elevation wilderness, and spatial patterns in N and S deposition in these areas remain poorly quantified. In this study, ion-exchange resin (IER) collectors were used to measure dissolved inorganic N (DIN) and S deposition during June 2006&ndash;September 2007 at approximately 20 alpine/subalpine sites spanning the Continental Divide in Rocky Mountain National Park. Results indicated good agreement between deposition estimated from IER collectors and commonly used wet&nbsp;+&nbsp;dry methods during summer, but poor agreement during winter. Snowpack sampling was found to be a more accurate way of quantifying DIN and S deposition during winter. Summer DIN deposition was significantly greater on the east side of the park than on the west side (25&ndash;50%;&nbsp;</span><i>p</i><span>&nbsp;&le;&nbsp;0.03), consistent with transport of pollutants to the park from urban and agricultural areas to the east. Sources of atmospheric nitrate (NO</span><sub>3</sub><sup>&minus;</sup><span>) were examined using N isotopes. The average &delta;</span><sup>15</sup><span>N of NO</span><sub>3</sub><sup>&minus;</sup><span>&nbsp;from IER collectors was 3.5&permil; higher during winter than during summer (</span><i>p</i><span>&nbsp;&lt;&nbsp;0.001), indicating a seasonal shift in the relative importance of regional NO</span><sub>x</sub><span>sources, such as coal combustion and vehicular sources of atmospheric NO</span><sub>3</sub><sup>&minus;</sup><span>. There were no significant differences in &delta;</span><sup>15</sup><span>N of NO</span><sub>3</sub><sup>&minus;</sup><span>&nbsp;between east and west sides of the park during summer or winter (</span><i>p</i><span>&nbsp;=&nbsp;0.83), indicating that the two areas may have similar sources of atmospheric NO</span><sub>3</sub><sup>&minus;</sup><span>. Results from this study indicate that a combination of IER collectors and snowpack sampling can be used to characterize spatial variability in DIN and S deposition in high-elevation wilderness areas. These data can improve our ability to model critical loads by filling gaps in geographic coverage of deposition monitoring/modeling programs and thus may enable policy makers to better protect sensitive natural resources in Class 1 Wilderness areas.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2014.11.027","usgsCitation":"Clow, D.W., Roop, H., Nanus, L., Fenn, M., and Sexstone, G.A., 2015, Spatial patterns of atmospheric deposition of nitrogen and sulfur using ion-exchange resin collectors in Rocky Mountain National Park, USA: Atmospheric Environment, v. 101, p. 149-157, https://doi.org/10.1016/j.atmosenv.2014.11.027.","productDescription":"9 p.","startPage":"149","endPage":"157","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059891","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":472435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2014.11.027","text":"Publisher Index Page"},{"id":324950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.90545654296875,\n              40.12429084831405\n            ],\n            [\n              -105.90545654296875,\n              40.561807971278185\n            ],\n            [\n              -105.4522705078125,\n              40.561807971278185\n            ],\n            [\n              -105.4522705078125,\n              40.12429084831405\n            ],\n            [\n              -105.90545654296875,\n              40.12429084831405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"101","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cebfe4b08116168223c1","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roop, Heidi","contributorId":64581,"corporation":false,"usgs":true,"family":"Roop","given":"Heidi","email":"","affiliations":[],"preferred":false,"id":519581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nanus, Leora","contributorId":27930,"corporation":false,"usgs":true,"family":"Nanus","given":"Leora","email":"","affiliations":[],"preferred":false,"id":519580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fenn, Mark","contributorId":119427,"corporation":false,"usgs":true,"family":"Fenn","given":"Mark","affiliations":[],"preferred":false,"id":519582,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sexstone, Graham A. 0000-0001-8913-0546 sexstone@usgs.gov","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":5159,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham","email":"sexstone@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":641979,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70128767,"text":"70128767 - 2015 - Correspondence of biological condition models of California streams at statewide and regional scales","interactions":[],"lastModifiedDate":"2016-07-12T09:41:38","indexId":"70128767","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Correspondence of biological condition models of California streams at statewide and regional scales","docAbstract":"<p><span>We used boosted regression trees (BRT) to model stream biological condition as measured by benthic macroinvertebrate taxonomic completeness, the ratio of observed to expected (O/E) taxa. Models were developed with and without exclusion of rare taxa at a site. BRT models are robust, requiring few assumptions compared with traditional modeling techniques such as multiple linear regression. The BRT models were constructed to provide baseline support to stressor delineation by identifying natural physiographic and human land use gradients affecting stream biological condition statewide and for eight ecological regions within the state, as part of the development of numerical biological objectives for California&rsquo;s wadeable streams. Regions were defined on the basis of ecological, hydrologic, and jurisdictional factors and roughly corresponded with ecoregions. Physiographic and land use variables were derived from geographic information system coverages. The model for the entire state (</span><i class=\"EmphasisTypeItalic \">n</i><span>&thinsp;=&thinsp;1,386) identified a composite measure of anthropogenic disturbance (the sum of urban, agricultural, and unmanaged roadside vegetation land cover) within the local watershed as the most important variable, explaining 56&nbsp;% of the variance in O/E values. Models for individual regions explained between 51 and 84&nbsp;% of the variance in O/E values. Measures of human disturbance were important in the three coastal regions. In the South Coast and Coastal Chaparral, local watershed measures of urbanization were the most important variables related to biological condition, while in the North Coast the composite measure of human disturbance at the watershed scale was most important. In the two mountain regions, natural gradients were most important, including slope, precipitation, and temperature. The remaining three regions had relatively small sample sizes (</span><i class=\"EmphasisTypeItalic \">n</i><span>&thinsp;&le;&thinsp;75 sites) and had models that gave mixed results. Understanding the spatial scale at which land use and land cover affect taxonomic completeness is imperative for sound management. Our results suggest that invertebrate taxonomic completeness is affected by human disturbance at the statewide and regional levels, with some differences among regions in the importance of natural gradients and types of human disturbance. The construction and application of models similar to the ones presented here could be useful in the planning and prioritization of actions for protection and conservation of biodiversity in California streams.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-014-4086-x","usgsCitation":"May, J.T., Brown, L.R., Rehn, A.C., Waite, I.R., Ode, P., Mazor, R., and Schiff, K., 2015, Correspondence of biological condition models of California streams at statewide and regional scales: Environmental Monitoring and Assessment, v. 187, Article 4086; 21 p., https://doi.org/10.1007/s10661-014-4086-x.","productDescription":"Article 4086; 21 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051366","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472437,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-014-4086-x","text":"Publisher Index Page"},{"id":325078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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R","affiliations":[],"preferred":false,"id":519766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazor, Raphael D","contributorId":120256,"corporation":false,"usgs":true,"family":"Mazor","given":"Raphael D","affiliations":[],"preferred":false,"id":519765,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schiff, Kenneth C","contributorId":117688,"corporation":false,"usgs":true,"family":"Schiff","given":"Kenneth C","affiliations":[],"preferred":false,"id":519764,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70188440,"text":"70188440 - 2015 - Thermokarst lake methanogenesis along a complete talik profile","interactions":[],"lastModifiedDate":"2017-06-09T14:07:53","indexId":"70188440","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Thermokarst lake methanogenesis along a complete talik profile","docAbstract":"<p><span>Thermokarst (thaw) lakes emit methane (CH</span><sub>4</sub><span>) to the atmosphere formed from thawed permafrost organic matter (OM), but the relative magnitude of CH</span><sub>4</sub><span> production in surface lake sediments vs. deeper thawed permafrost horizons is not well understood. We assessed anaerobic CH</span><sub>4</sub><span> production potentials from various depths along a 590 cm long lake sediment core that captured the entire sediment package of the talik (thaw bulb) beneath the center of an interior Alaska thermokarst lake, Vault Lake, and the top 40 cm of thawing permafrost beneath the talik. We also studied the adjacent Vault Creek permafrost tunnel that extends through ice-rich yedoma permafrost soils surrounding the lake and into underlying gravel. Our results showed CH</span><sub>4</sub><span> production potentials were highest in the organic-rich surface lake sediments, which were 151 cm thick (mean ± SD: 5.95 ± 1.67 μg C–CH</span><sub>4</sub><span> g dw</span><sup>−1</sup><span> d</span><sup>−1</sup><span>; 125.9 ± 36.2 μg C–CH</span><sub>4</sub><span> g C</span><sup>−1</sup><sub>org</sub><span> d</span><sup>−1</sup><span>). High CH</span><sub>4</sub><span> production potentials were also observed in recently thawed permafrost (1.18 ± 0.61 μg C–CH</span><sub>4</sub><span>g dw</span><sup>−1</sup><span> d</span><sup>−1</sup><span>; 59.60± 51.5 μg C–CH</span><sub>4</sub><span> g C</span><sup>−1</sup><sub>org</sub><span> d</span><sup>−1</sup><span>) at the bottom of the talik, but the narrow thicknesses (43 cm) of this horizon limited its overall contribution to total sediment column CH</span><sub>4</sub><span> production in the core. Lower rates of CH</span><sub>4</sub><span> production were observed in sediment horizons representing permafrost that has been thawing in the talik for a longer period of time. No CH</span><sub>4</sub><span> production was observed in samples obtained from the permafrost tunnel, a non-lake environment. Our findings imply that CH</span><sub>4</sub><span>production is highly variable in thermokarst lake systems and that both modern OM supplied to surface sediments and ancient OM supplied to both surface and deep lake sediments by in situ thaw and shore erosion of yedoma permafrost are important to lake CH</span><sub>4</sub><span> production.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-12-4317-2015","usgsCitation":"Heslop, J., Walter Anthony, K., Sepulveda-Jauregui, A., Martinez-Cruz, K., Bondurant, A., Grosse, G., and Jones, M.C., 2015, Thermokarst lake methanogenesis along a complete talik profile: Biogeosciences, v. 12, p. 4317-4331, https://doi.org/10.5194/bg-12-4317-2015.","productDescription":"15 p.","startPage":"4317","endPage":"4331","ipdsId":"IP-064594","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":488681,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-12-4317-2015","text":"Publisher Index Page"},{"id":342339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-24","publicationStatus":"PW","scienceBaseUri":"593bb3a9e4b0764e6c60e7eb","contributors":{"authors":[{"text":"Heslop, J.K.","contributorId":192801,"corporation":false,"usgs":false,"family":"Heslop","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":697757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walter Anthony, K.M.","contributorId":169384,"corporation":false,"usgs":false,"family":"Walter Anthony","given":"K.M.","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":697758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sepulveda-Jauregui, A.","contributorId":192802,"corporation":false,"usgs":false,"family":"Sepulveda-Jauregui","given":"A.","email":"","affiliations":[],"preferred":false,"id":697759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martinez-Cruz, K.","contributorId":192803,"corporation":false,"usgs":false,"family":"Martinez-Cruz","given":"K.","email":"","affiliations":[],"preferred":false,"id":697760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bondurant, A.","contributorId":192804,"corporation":false,"usgs":false,"family":"Bondurant","given":"A.","affiliations":[],"preferred":false,"id":697761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grosse, G.","contributorId":192805,"corporation":false,"usgs":false,"family":"Grosse","given":"G.","email":"","affiliations":[],"preferred":false,"id":697762,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":697756,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70155117,"text":"70155117 - 2015 - An integrated approach to conjunctive-use analysis with the one-water hydrologic flow model, MODFLOW-OWHM","interactions":[],"lastModifiedDate":"2017-05-17T12:11:59","indexId":"70155117","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An integrated approach to conjunctive-use analysis with the one-water hydrologic flow model, MODFLOW-OWHM","docAbstract":"<p>The MODFLOW-2005 (MF) family of hydrologic simulators has diverged into multiple versions designed for specific needs, thus limiting their use to their respective designs. The One-Water Hydrologic Flow Model (MF-OWHM v1.0) is an integrated hydrologic flow model that is an enhanced fusion of multiple MF versions. While maintaining compatibility with existing MF versions, MF-OWHM includes: linkages for coupled heads, flows, and deformation; facilitation of self-updating models, additional observation and parameter options for higher-order calibrations; and redesigned code for faster simulations. This first release of MF-OWHM incorporates MODFLOW-2005 and the Farm Process (MF-FMP2), with new features (FMP3), combined with Local Grid Refinement (MF-LGR), Streamflow Routing (SFR), Surfacewater Routing Process (SWR), Seawater Intrusion (SWI), Riparian Evapotranspiration (RIP-ET), the Newton Formulation (MF-NWT), and more. MF-OWHM represents a complete integrated hydrologic model that fully links the movement and use of groundwater, surface water, and imported water for consumption by agriculture and natural vegetation on the landscape, and for potable and other uses. By retaining and keeping track of the water during simulation of the hydrosphere, MF-OWHM accounts for “all of the water everywhere and all of the time.” This provides the foundation needed to address integrated hydrologic problems such as evaluation of conjunctive-use alternatives and sustainability analysis, including potential adaptation and mitigation strategies, and best management practices. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: MODFLOW and more 2015: Modeling a complex world","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"MODFLOW and More 2015: Modeling a Complex World","conferenceDate":"May 31 - June 3, 2015","conferenceLocation":"Golden, CO","language":"English","publisher":"Colorado School of Mines","usgsCitation":"Boyce, S.E., and Hanson, R.T., 2015, An integrated approach to conjunctive-use analysis with the one-water hydrologic flow model, MODFLOW-OWHM, <i>in</i> Proceedings: MODFLOW and more 2015: Modeling a complex world, Golden, CO, May 31 - June 3, 2015, p. 6-10.","productDescription":"5 p.","startPage":"6","endPage":"10","ipdsId":"IP-064540","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":341437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341445,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://igwmc.mines.edu/conference/modflow2015.html"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593e26ede4b0764e6c61b765","contributors":{"authors":[{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564814,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70143409,"text":"70143409 - 2015 - Causes and consequences of ecosystem service regionalization in a coastal suburban watershed","interactions":[],"lastModifiedDate":"2015-03-19T09:06:03","indexId":"70143409","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Causes and consequences of ecosystem service regionalization in a coastal suburban watershed","docAbstract":"<p><span>The demand for ecosystem services and the ability of natural ecosystems to provide those services evolve over time as population, land use, and management practices change. Regionalization of ecosystem service activity, or the expansion of the area providing ecosystem services to a population, is a common response in densely populated coastal regions, with important consequences for watershed water and nitrogen (N) fluxes to the coastal zone. We link biophysical and historical information to explore the causes and consequences of change in ecosystem service activity&mdash;focusing on water provisioning and N regulation&mdash;from 1850 to 2010 in a coastal suburban watershed, the Ipswich River watershed in northeastern Massachusetts, USA. Net interbasin water transfers started in the late 1800s due to regionalization of water supply for use by larger populations living outside the Ipswich watershed boundaries, reaching a peak in the mid-1980s. Over much of the twentieth century, about 20&nbsp;% of river runoff was diverted from reaching the estuary, with greater proportions during drought years. Ongoing regionalization of water supply has contributed to recent declines in diversions, influenced by socioecological feedbacks resulting from the river drying and fish kills. Similarly, the N budget has been greatly perturbed since the suburban era began in the 1950s due to food and lawn fertilizer imports and human waste release. However, natural ecosystems are able to remove most of this anthropogenic N, mitigating impacts on the coastal zone. We propose a conceptual model whereby the amount and type of ecosystem services provided by coastal watersheds in urban regions expand and contract over time as regional population expands and ecosystem services are regionalized. We hypothesize that suburban watersheds can be hotspots of ecosystem service sources because they retain sufficient ecosystem function to still produce services that meet increasing demand from the local population and nearby urban centers. Historical reconstruction of ecosystem service activity provides a perspective that may help to better understand coupled human&ndash;natural system processes and lead to more sustainable management of coastal ecosystems.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-013-9646-8","usgsCitation":"Wollheim, W.M., Green, M.B., Pellerin, B.A., Morse, N.B., and Hopkinson, C.S., 2015, Causes and consequences of ecosystem service regionalization in a coastal suburban watershed: Estuaries and Coasts, v. 1, no. 38, p. 19-34, https://doi.org/10.1007/s12237-013-9646-8.","productDescription":"16 p.","startPage":"19","endPage":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043983","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-013-9646-8","text":"Publisher Index Page"},{"id":298737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Ipswich River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.02159023284912,\n              42.562879746999684\n            ],\n            [\n              -71.02159023284912,\n              42.56935918843573\n            ],\n            [\n              -71.00137710571288,\n              42.56935918843573\n            ],\n            [\n              -71.00137710571288,\n              42.562879746999684\n            ],\n            [\n              -71.02159023284912,\n              42.562879746999684\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","issue":"38","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-07","publicationStatus":"PW","scienceBaseUri":"550bf32be4b02e76d759cddd","contributors":{"authors":[{"text":"Wollheim, Wilfred M.","contributorId":139742,"corporation":false,"usgs":false,"family":"Wollheim","given":"Wilfred","email":"","middleInitial":"M.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":542725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Mark B.","contributorId":139746,"corporation":false,"usgs":false,"family":"Green","given":"Mark","email":"","middleInitial":"B.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morse, Nathaniel B.","contributorId":139747,"corporation":false,"usgs":false,"family":"Morse","given":"Nathaniel","email":"","middleInitial":"B.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hopkinson, Charles S.","contributorId":139745,"corporation":false,"usgs":false,"family":"Hopkinson","given":"Charles","email":"","middleInitial":"S.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542722,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188389,"text":"70188389 - 2015 - Thin‐ or thick‐skinned faulting in the Yakima fold and thrust belt (WA)? Constraints from kinematic modeling of the saddle mountains anticline","interactions":[],"lastModifiedDate":"2017-06-07T15:03:37","indexId":"70188389","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","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":"Thin‐ or thick‐skinned faulting in the Yakima fold and thrust belt (WA)? Constraints from kinematic modeling of the saddle mountains anticline","docAbstract":"<p><span>The Yakima fold and thrust belt (YFTB) deforms the Columbia River Basalt Group flows of Washington State. The YFTB fault geometries and slip rates are crucial parameters for seismic‐hazard assessments of nearby dams and nuclear facilities, yet there are competing models for the subsurface fault geometry involving shallowly rooted versus deeply rooted fault systems. The YFTB is also thought to be analogous to the evenly spaced wrinkle ridges found on other terrestrial planets. Using seismic reflection data, borehole logs, and surface geologic data, we tested two proposed kinematic end‐member thick‐ and thin‐skinned fault models beneath the Saddle Mountains anticline of the YFTB. Observed subsurface geometry can be produced by 600–800&nbsp;m of heave along a single listric‐reverse fault or ∼3.5  km of slip along two superposed low‐angle thrust faults. Both models require decollement slip between 7 and 9&nbsp;km depth, resulting in greater fault areas than sometimes assumed in hazard assessments. Both models require initial slip much earlier than previously thought and may provide insight into the subsurface geometry of analogous comparisons to wrinkle ridges observed on other planets.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140207","usgsCitation":"Casale, G., and Pratt, T.L., 2015, Thin‐ or thick‐skinned faulting in the Yakima fold and thrust belt (WA)? Constraints from kinematic modeling of the saddle mountains anticline: Bulletin of the Seismological Society of America, v. 105, no. 2A, p. 745-752, https://doi.org/10.1785/0120140207.","productDescription":"7 p.","startPage":"745","endPage":"752","ipdsId":"IP-051433","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima fold and thrust belt","volume":"105","issue":"2A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-27","publicationStatus":"PW","scienceBaseUri":"593910b2e4b0764e6c5e88af","contributors":{"authors":[{"text":"Casale, Gabriele 0000-0003-1371-753X","orcid":"https://orcid.org/0000-0003-1371-753X","contributorId":192726,"corporation":false,"usgs":false,"family":"Casale","given":"Gabriele","email":"","affiliations":[{"id":27675,"text":"Appalachian State University, Boone, NC","active":true,"usgs":false}],"preferred":false,"id":697513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697512,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70134263,"text":"70134263 - 2015 - Hyperspectral remote sensing for terrestrial applications","interactions":[],"lastModifiedDate":"2016-12-15T13:32:56","indexId":"70134263","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hyperspectral remote sensing for terrestrial applications","docAbstract":"<p><span>Remote sensing data are considered hyperspectral when the data are gathered from numerous wavebands, contiguously over an entire range of the spectrum (e.g., 400–2500 nm). Goetz (1992) defines hyperspectral remote sensing as “The acquisition of images in hundreds of registered, contiguous spectral bands such that for each picture element of an image it is possible to derive a complete reflectance spectrum.” However, Jensen (2004) defines hyperspectral remote sensing as “The simultaneous acquisition of images in many relatively narrow, contiguous and/or non contiguous spectral bands throughout the ultraviolet, visible, and infrared portions of the electromagnetic spectrum.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Land resources monitoring, modeling, and mapping with remote sensing","language":"English","publisher":"CRC ","usgsCitation":"Thenkabail, P.S., Teluguntla, P.G., Gumma, M.K., and Dheeravath, V., 2015, Hyperspectral remote sensing for terrestrial applications, chap. <i>of</i> Land resources monitoring, modeling, and mapping with remote sensing, p. 201-233.","productDescription":"33 p. ","startPage":"201","endPage":"233","ipdsId":"IP-060632","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":332168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332166,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcnetbase.com/doi/abs/10.1201/b19322-12"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba43e4b0e2663625f2ca","contributors":{"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":525772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teluguntla, Pardhasaradhi G. 0000-0001-8060-9841 pteluguntla@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":5275,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","email":"pteluguntla@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":525774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gumma, Murali Krishna","contributorId":127590,"corporation":false,"usgs":false,"family":"Gumma","given":"Murali","email":"","middleInitial":"Krishna","affiliations":[{"id":7069,"text":"International Crops Research Institute for the Semi Arid Tropics (ICRISAT)","active":true,"usgs":false}],"preferred":false,"id":525775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dheeravath, Venkateswarlu","contributorId":127591,"corporation":false,"usgs":false,"family":"Dheeravath","given":"Venkateswarlu","email":"","affiliations":[{"id":7070,"text":"UN World Food Program","active":true,"usgs":false}],"preferred":false,"id":525776,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70177814,"text":"70177814 - 2015 - Estimating sturgeon abundance in the Carolinas using side-scan sonar","interactions":[],"lastModifiedDate":"2016-10-21T16:26:31","indexId":"70177814","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Estimating sturgeon abundance in the Carolinas using side-scan sonar","docAbstract":"<p><span>Sturgeons (Acipenseridae) are one of the most threatened taxa worldwide, including species in North Carolina and South Carolina. Populations of Atlantic Sturgeon </span><i>Acipenser oxyrinchus</i><span> in the Carolinas have been significantly reduced from historical levels by a combination of intense fishing and habitat loss. There is a need for estimates of current abundance, to describe status, and for estimates of historical abundance in order to provide realistic recovery goals. In this study we used </span><i>N</i><span>-mixture and distance models with data acquired from side-scan sonar surveys to estimate abundance of sturgeon in six major sturgeon rivers in North Carolina and South Carolina. Estimated abundances of sturgeon greater than 1&nbsp;m TL in the Carolina distinct population segment (DPS) were 2,031 using the count model and 1,912 via the distance model. The Pee Dee River had the highest overall abundance of any river at 1,944 (count model) or 1,823 (distance model). These estimates do not account for sturgeon less than 1&nbsp;m TL or occurring in riverine reaches not surveyed or in marine waters. Comparing the two models, the </span><i>N</i><span>-mixture model produced similar estimates using less data than the distance model with only a slight reduction of estimated precision.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19425120.2014.982334","usgsCitation":"Flowers, H.J., and Hightower, J.E., 2015, Estimating sturgeon abundance in the Carolinas using side-scan sonar: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 7, no. 1, p. 1-9, https://doi.org/10.1080/19425120.2014.982334.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-055971","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472567,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2014.982334","text":"Publisher Index Page"},{"id":330333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-11","publicationStatus":"PW","scienceBaseUri":"5810c700e4b0f497e79734bf","contributors":{"authors":[{"text":"Flowers, H. Jared","contributorId":140974,"corporation":false,"usgs":false,"family":"Flowers","given":"H.","email":"","middleInitial":"Jared","affiliations":[],"preferred":false,"id":651861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":651860,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187015,"text":"70187015 - 2015 - Stable-isotope and solute-chemistry approaches to flow characterization in a forested tropical watershed, Luquillo Mountains, Puerto Rico","interactions":[],"lastModifiedDate":"2017-04-19T10:34:45","indexId":"70187015","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Stable-isotope and solute-chemistry approaches to flow characterization in a forested tropical watershed, Luquillo Mountains, Puerto Rico","docAbstract":"<p><span>The prospect of changing climate has led to uncertainty about the resilience of forested mountain watersheds in the tropics. In watersheds where frequent, high rainfall provides ample runoff, we often lack understanding of how the system will respond under conditions of decreased rainfall or drought. Factors that govern water supply, such as recharge rates and groundwater storage capacity, may be poorly quantified. This paper describes 8-year data sets of water stable isotope composition (</span><i>δ</i><sup>2</sup><span>H and </span><i>δ</i><sup>18</sup><span>O) of precipitation (4 sites) and a stream (1 site), and four contemporaneous stream sample sets of solute chemistry and isotopes, used to investigate watershed response to precipitation inputs in the 1780-ha Río Mameyes basin in the Luquillo Mountains of northeastern Puerto Rico. Extreme </span><i>δ</i><sup>2</sup><span>H and </span><i>δ</i><sup>18</sup><span>O values from low-pressure storm systems and the deuterium excess (</span><i>d</i><span>-excess) were useful tracers of watershed response in this tropical system. A hydrograph separation experiment performed in June 2011 yielded different but complementary information from stable isotope and solute chemistry data. The hydrograph separation results indicated that 36% of the storm rain that reached the soil surface left the watershed in a very short time as runoff. Weathering-derived solutes indicated near-stream groundwater was displaced into the stream at the beginning of the event, followed by significant dilution. The more biologically active solutes exhibited a net flushing behavior. The </span><i>d-</i><span>excess analysis suggested that streamflow typically has a recent rainfall component (∼25%) with transit time less than the sampling resolution of 7&nbsp;days, and a more well-mixed groundwater component (∼75%). The contemporaneous stream sample sets showed an overall increase in dissolved solute concentrations with decreasing elevation that may be related to groundwater inputs, different geology, and slope position. A considerable amount of water from rain events runs off as quickflow and bypasses subsurface watershed flowpaths, and better understanding of shallow hillslope and deeper groundwater processes in the watershed will require sub-weekly data and detailed transit time modeling. A combined isotopic and solute chemistry approach can guide further studies to a more comprehensive model of the hydrology, and inform decisions for managing water supply with future changes in climate and land use.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2015.03.008","usgsCitation":"Scholl, M.A., Shanley, J.B., Murphy, S.F., Willenbring, J.K., Occhi, M., and Gonzalez, G., 2015, Stable-isotope and solute-chemistry approaches to flow characterization in a forested tropical watershed, Luquillo Mountains, Puerto Rico: Applied Geochemistry, v. 63, p. 484-497, https://doi.org/10.1016/j.apgeochem.2015.03.008.","productDescription":"14 p.","startPage":"484","endPage":"497","ipdsId":"IP-063619","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472425,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/4rh0q3tv","text":"External Repository"},{"id":339930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -65.96397399902344,\n              18.173254472950752\n            ],\n            [\n              -65.6048583984375,\n              18.173254472950752\n            ],\n            [\n              -65.6048583984375,\n              18.394927021680232\n            ],\n            [\n              -65.96397399902344,\n              18.394927021680232\n            ],\n            [\n              -65.96397399902344,\n              18.173254472950752\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877bbe4b0b7ea54521c32","contributors":{"authors":[{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":691897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":691898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":691899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willenbring, Jane K","contributorId":191115,"corporation":false,"usgs":false,"family":"Willenbring","given":"Jane","email":"","middleInitial":"K","affiliations":[],"preferred":false,"id":691900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Occhi, Marcie","contributorId":191116,"corporation":false,"usgs":false,"family":"Occhi","given":"Marcie","affiliations":[],"preferred":false,"id":691901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzalez, Grizelle","contributorId":191117,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Grizelle","email":"","affiliations":[],"preferred":false,"id":691902,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70180672,"text":"70180672 - 2015 - Implementation of a framework for multi-species, multi-objective adaptive management in Delaware Bay","interactions":[],"lastModifiedDate":"2017-04-25T16:41:20","indexId":"70180672","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Implementation of a framework for multi-species, multi-objective adaptive management in Delaware Bay","docAbstract":"<p><span>Decision analytic approaches have been widely recommended as well suited to solving disputed and ecologically complex natural resource management problems with multiple objectives and high uncertainty. However, the difference between theory and practice is substantial, as there are very few actual resource management programs that represent formal applications of decision analysis. We applied the process of structured decision making to Atlantic horseshoe crab harvest decisions in the Delaware Bay region to develop a multispecies adaptive management (AM) plan, which is currently being implemented. Horseshoe crab harvest has been a controversial management issue since the late 1990s. A largely unregulated horseshoe crab harvest caused a decline in crab spawning abundance. That decline coincided with a major decline in migratory shorebird populations that consume horseshoe crab eggs on the sandy beaches of Delaware Bay during spring migration. Our approach incorporated multiple stakeholders, including fishery and shorebird conservation advocates, to account for diverse management objectives and varied opinions on ecosystem function. Through consensus building, we devised an objective statement and quantitative objective function to evaluate alternative crab harvest policies. We developed a set of competing ecological models accounting for the leading hypotheses on the interaction between shorebirds and horseshoe crabs. The models were initially weighted based on stakeholder confidence in these hypotheses, but weights will be adjusted based on monitoring and Bayesian model weight updating. These models were used together to predict the effects of management actions on the crab and shorebird populations. Finally, we used a dynamic optimization routine to identify the state dependent optimal harvest policy for horseshoe crabs, given the possible actions, the stated objectives and our competing hypotheses about system function. The AM plan was reviewed, accepted and implemented by the Atlantic States Marine Fisheries Commission in 2012 and 2013. While disagreements among stakeholders persist, structured decision making enabled unprecedented progress towards a transparent and consensus driven management plan for crabs and shorebirds in Delaware Bay.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2015.08.038","usgsCitation":"McGowan, C., Smith, D., Nichols, J., Lyons, J.E., Sweka, J.A., Kalasz, K., Niles, L.J., Wong, R., Brust, J., Davis, M.C., and Spear, B., 2015, Implementation of a framework for multi-species, multi-objective adaptive management in Delaware Bay: Biological Conservation, v. 191, p. 759-769, https://doi.org/10.1016/j.biocon.2015.08.038.","productDescription":"11 p.","startPage":"759","endPage":"769","ipdsId":"IP-028202","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":334459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"191","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5891b0a9e4b072a7ac1298f3","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":661944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R.","contributorId":173756,"corporation":false,"usgs":false,"family":"Smith","given":"David R.","affiliations":[],"preferred":false,"id":661945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":661946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":661947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sweka, John A.","contributorId":80945,"corporation":false,"usgs":true,"family":"Sweka","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":661948,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalasz, Kevin","contributorId":7121,"corporation":false,"usgs":true,"family":"Kalasz","given":"Kevin","affiliations":[],"preferred":false,"id":661949,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niles, Lawrence J.","contributorId":25289,"corporation":false,"usgs":true,"family":"Niles","given":"Lawrence","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":661950,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wong, Richard","contributorId":54840,"corporation":false,"usgs":true,"family":"Wong","given":"Richard","affiliations":[],"preferred":false,"id":661951,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brust, Jeffrey","contributorId":35167,"corporation":false,"usgs":true,"family":"Brust","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":661952,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Davis, Michelle C. mcdavis@usgs.gov","contributorId":5865,"corporation":false,"usgs":true,"family":"Davis","given":"Michelle","email":"mcdavis@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":661953,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Spear, Braddock","contributorId":47220,"corporation":false,"usgs":true,"family":"Spear","given":"Braddock","email":"","affiliations":[],"preferred":false,"id":661954,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70187042,"text":"70187042 - 2015 - The origin of Mauna Loa's Nīnole Hills: Evidence of rift zone reorganization","interactions":[],"lastModifiedDate":"2017-04-19T15:59:37","indexId":"70187042","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The origin of Mauna Loa's Nīnole Hills: Evidence of rift zone reorganization","docAbstract":"<p><span>In order to identify the origin of Mauna Loa volcano's Nīnole Hills, Bouguer gravity was used to delineate density contrasts within the edifice. Our survey identified two residual anomalies beneath the Southwest Rift Zone (SWRZ) and the Nīnole Hills. The Nīnole Hills anomaly is elongated, striking northeast, and in inversions both anomalies merge at approximately −7 km above sea level. The positive anomaly, modeled as a rock volume of ~1200 km</span><sup>3</sup><span> beneath the Nīnole Hills, is associated with old eruptive vents. Based on the geologic and geophysical data, we propose that the gravity anomaly under the Nīnole Hills records an early SWRZ orientation, now abandoned due to geologically rapid rift-zone reorganization. Catastrophic submarine landslides from Mauna Loa's western flank are the most likely cause for the concurrent abandonment of the Nīnole Hills section of the SWRZ. Rift zone reorganization induced by mass wasting is likely more common than currently recognized.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL065863","usgsCitation":"Zurek, J., Williams-Jones, G., Trusdell, F., and Martin, S., 2015, The origin of Mauna Loa's Nīnole Hills: Evidence of rift zone reorganization: Geophysical Research Letters, v. 42, no. 20, p. 8358-8366, https://doi.org/10.1002/2015GL065863.","productDescription":"9 p.","startPage":"8358","endPage":"8366","ipdsId":"IP-066614","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472586,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl065863","text":"Publisher Index Page"},{"id":340000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa, Nīnole Hills","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.1871337890625,\n              18.851711132087274\n            ],\n            [\n              -154.75067138671875,\n              18.851711132087274\n            ],\n            [\n              -154.75067138671875,\n              19.84939395842279\n            ],\n            [\n              -156.1871337890625,\n              19.84939395842279\n            ],\n            [\n              -156.1871337890625,\n              18.851711132087274\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-24","publicationStatus":"PW","scienceBaseUri":"58f877bae4b0b7ea54521c26","contributors":{"authors":[{"text":"Zurek, Jeffrey","contributorId":191169,"corporation":false,"usgs":false,"family":"Zurek","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":692110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams-Jones, Glyn","contributorId":147765,"corporation":false,"usgs":false,"family":"Williams-Jones","given":"Glyn","email":"","affiliations":[{"id":16928,"text":"Department of Earth Sciences, Simon Fraser University, Canada","active":true,"usgs":false}],"preferred":false,"id":692111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":692109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Simon","contributorId":191170,"corporation":false,"usgs":false,"family":"Martin","given":"Simon","email":"","affiliations":[],"preferred":false,"id":692112,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70140618,"text":"70140618 - 2015 - Impacts of fire management on aboveground tree carbon stocks in Yosemite and Sequoia & Kings Canyon National Parks","interactions":[],"lastModifiedDate":"2016-09-04T15:23:44","indexId":"70140618","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Impacts of fire management on aboveground tree carbon stocks in Yosemite and Sequoia & Kings Canyon National Parks","docAbstract":"<p>Forest biomass on Sierra Nevada landscapes constitutes one of the largest carbon stocks in California, and its stability is tightly linked to the factors driving fire regimes. Research suggests that fire suppression, logging, climate change, and present management practices in Sierra Nevada forests have altered historic patterns of landscape carbon storage, and over a century of fire suppression and the resulting accumulation in surface fuels have been implicated in contributing to recent increases in high severity, stand-replacing fires. For over 30 years, fire management at Yosemite (YOSE) and Sequoia &amp; Kings Canyon (SEKI) national parks has led the nation in restoring fire to park landscapes; however, the impacts on the stability and magnitude of carbon stocks have not been thoroughly examined.</p>\n<p>The purpose of this study is to quantify relationships between recent fire patterns and aboveground tree carbon stocks in YOSE and SEKI. Our approach focuses on evaluating fire effects on 1) amounts of aboveground tree carbon on the landscape, and 2) rates of carbon accumulation by individual trees. In 2010, we compiled a database of existing plot data for our analyses. In 2011, our field crews acquired vegetation data and collected tree growth cores from 105 plots. In 2012, we completed an interpretive component and began data analyses. In 2013, processing of tree cores began. In 2014, final processing of tree cores, data analyses, and manuscript preparation was conducted. The work for this project was facilitated through an interagency agreement between the National Park Service and the U.S. Geological Survey, and through a Cooperative Ecosystems Studies Unit (CESU) agreement with the University of Washington.</p>\n<p>In order to accurately quantify landscape-level carbon stocks, our analyses accounted for major sources of measurement errors, propagating those errors as we scaled plot-based carbon density estimates up to landscape-level totals. Using Monte Carlo simulation methods, we found that vegetation type mapping error was the largest source of uncertainty, while measurement uncertainties contributed by tree diameter measurements and tree diameter&ndash;biomass allometry equations were relatively minor.</p>\n<p>For some forest types, we found differences in aboveground tree carbon densities between burned and unburned areas. For example, mean carbon density in burned red fir forests was estimated to be ~29% lower versus unburned areas. Alternative measures of fire history, such as time since fire and number of times burned, were poorly related to carbon densities.</p>\n<p>Within YOSE, we evaluated the stability of landscape carbon pools by quantifying carbon stocks in areas of varying degrees of departure from historic fire return intervals. Of the ~25 Tg of total aboveground tree carbon in YOSE, ~10 Tg is contained within relatively stable areas (the next fire is unlikely to be high severity and stand-replacing), ~10 Tg occurs in areas deemed moderately stable, and the remaining ~5 Tg within relatively unstable areas.</p>\n<p>We compared our landscape carbon estimates in YOSE to remotely-sensed carbon estimates from the NASA&ndash;CASA project and found that the two methods roughly agree. Our analysis and comparisons suggest, however, that fire severity should be integrated into future carbon mapping efforts. We illustrate this with an example using the 2013 Rim Fire, which we estimate burned an area containing over 5 Tg of aboveground tree carbon, but likely left a large fraction of that carbon on the landscape if one accounts for fire severity.</p>","largerWorkTitle":"Natural Resource Report NPS/SIEN/NRR—2015/910","language":"English","publisher":"National Park Service","usgsCitation":"Matchett, J.R., Lutz, J.A., Tarnay, L.W., Smith, D.G., Becker, K.M., and Brooks, M.L., 2015, Impacts of fire management on aboveground tree carbon stocks in Yosemite and Sequoia & Kings Canyon National Parks, Report: ix, 29 p.; Appendixes A-C.","productDescription":"Report: ix, 29 p.; Appendixes A-C","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053961","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":312660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297885,"type":{"id":15,"text":"Index Page"},"url":"https://www.werc.usgs.gov/ProductDetails.aspx?ID=5177"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park, Sequoia National Park ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.531494140625,\n              36.9795180188502\n            ],\n            [\n              -118.64547729492188,\n              36.986100060204095\n            ],\n            [\n              -118.70315551757812,\n              36.887309668681155\n            ],\n            [\n              -118.76083374023436,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":540256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lutz, James A.","contributorId":139178,"corporation":false,"usgs":false,"family":"Lutz","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":540257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tarnay, Leland W.","contributorId":139179,"corporation":false,"usgs":false,"family":"Tarnay","given":"Leland","email":"","middleInitial":"W.","affiliations":[{"id":12683,"text":"National Park Service, Yosemite National Park, El Portal, CA","active":true,"usgs":false}],"preferred":false,"id":540258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Douglas G. dgsmith@usgs.gov","contributorId":1532,"corporation":false,"usgs":true,"family":"Smith","given":"Douglas","email":"dgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Becker, Kendall M.L.","contributorId":139180,"corporation":false,"usgs":false,"family":"Becker","given":"Kendall","email":"","middleInitial":"M.L.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":540260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540255,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187370,"text":"70187370 - 2015 - Variables associated with nest survival of Golden-winged Warblers (<i>Vermivora chrysoptera</i>) among vegetation communities commonly used for nesting","interactions":[],"lastModifiedDate":"2017-05-08T14:15:00","indexId":"70187370","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Variables associated with nest survival of Golden-winged Warblers (<i>Vermivora chrysoptera</i>) among vegetation communities commonly used for nesting","docAbstract":"<p>A<span>mong shrubland- and young forest-nesting bird species in North America, Golden-winged Warblers (</span><i>Vermivora chrysoptera</i><span>) are one of the most rapidly declining partly because of limited nesting habitat. Creation and management of high quality vegetation communities used for nesting are needed to reduce declines. Thus, we examined whether common characteristics could be managed across much of the Golden-winged Warbler’s breeding range to increase daily survival rate (DSR) of nests. We monitored 388 nests on 62 sites throughout Minnesota, Wisconsin, New York, North Carolina, Pennsylvania, Tennessee, and West Virginia. We evaluated competing DSR models in spatial-temporal (dominant vegetation type, population segment, state, and year), intraseasonal (nest stage and time-within-season), and vegetation model suites. The best-supported DSR models among the three model suites suggested potential associations between daily survival rate of nests and state, time-within-season, percent grass and </span><i>Rubus</i><span> cover within 1 m of the nest, and distance to later successional forest edge. Overall, grass cover (negative association with DSR above 50%) and </span><i>Rubus</i><span> cover (DSR lowest at about 30%) within 1 m of the nest and distance to later successional forest edge (negative association with DSR) may represent common management targets across our states for increasing Golden-winged Warbler DSR, particularly in the Appalachian Mountains population segment. Context-specific adjustments to management strategies, such as in wetlands or areas of overlap with Blue-winged Warblers (</span><i>Vermivora cyanoptera</i><span>), may be necessary to increase DSR for Golden-winged Warblers.</span></p>","language":"English","publisher":" Society of Canadian Ornithologists; Bird Studies Canada","doi":"10.5751/ACE-00748-100106","usgsCitation":"Aldinger, K.R., Terhune, T.M., Wood, P.B., Buehler, D.A., Bakermans, M.H., Confer,  ., Flaspohler, D.J., Larkin, J.L., Loegering, J.P., Percy, K.L., Roth, A.M., and Smalling, C.G., 2015, Variables associated with nest survival of Golden-winged Warblers (<i>Vermivora chrysoptera</i>) among vegetation communities commonly used for nesting: Avian Conservation and Ecology, v. 10, no. 1, Article 6; 12 p., https://doi.org/10.5751/ACE-00748-100106.","productDescription":"Article 6; 12 p.","ipdsId":"IP-052129","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472433,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-00748-100106","text":"Publisher Index Page"},{"id":340819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"10","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590c3dcbe4b0e541a038dd2b","contributors":{"authors":[{"text":"Aldinger, Kyle R.","contributorId":171892,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":693619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terhune, Theron M. II","contributorId":191720,"corporation":false,"usgs":false,"family":"Terhune","given":"Theron","suffix":"II","email":"","middleInitial":"M.","affiliations":[{"id":33355,"text":"Tall Timbers Research Station and Land Conservancy","active":true,"usgs":false}],"preferred":false,"id":694123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Petra Bohall pbwood@usgs.gov","contributorId":1791,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"Bohall","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":694124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buehler, David A.","contributorId":169746,"corporation":false,"usgs":false,"family":"Buehler","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":694125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bakermans, Marja H.","contributorId":169752,"corporation":false,"usgs":false,"family":"Bakermans","given":"Marja","email":"","middleInitial":"H.","affiliations":[{"id":33354,"text":"Worcester Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":694126,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Confer,  John L.","contributorId":191748,"corporation":false,"usgs":false,"family":"Confer","given":" John L.","affiliations":[{"id":18877,"text":"Ithaca College","active":true,"usgs":false}],"preferred":false,"id":694127,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flaspohler, David J.","contributorId":191721,"corporation":false,"usgs":false,"family":"Flaspohler","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":18877,"text":"Ithaca College","active":true,"usgs":false},{"id":16650,"text":"School of Forest Resources & Environmental Science, Michigan Technological University, 1400 Townsend Dr., Houghton, MI 49931","active":true,"usgs":false}],"preferred":false,"id":694128,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Larkin, Jeffrey L.","contributorId":169747,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false},{"id":34542,"text":"Department of Biology. Indiana University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":694129,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Loegering, John P.","contributorId":166933,"corporation":false,"usgs":false,"family":"Loegering","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":33353,"text":"University of Minnesota, Crookston","active":true,"usgs":false}],"preferred":false,"id":694130,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Percy, Katie L.","contributorId":191722,"corporation":false,"usgs":false,"family":"Percy","given":"Katie","email":"","middleInitial":"L.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":694131,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Roth, Amber M.","contributorId":191723,"corporation":false,"usgs":false,"family":"Roth","given":"Amber","email":"","middleInitial":"M.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false},{"id":27866,"text":"University of Maine, Department of Wildlife, Fisheries, and Conservation Biology, Orono, ME","active":true,"usgs":false},{"id":25614,"text":"School of Forest Resources, University of Maine","active":true,"usgs":false}],"preferred":false,"id":694132,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smalling, Curtis G.","contributorId":191724,"corporation":false,"usgs":false,"family":"Smalling","given":"Curtis","email":"","middleInitial":"G.","affiliations":[{"id":33352,"text":"Audubon North Carolina","active":true,"usgs":false}],"preferred":false,"id":694133,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70150368,"text":"70150368 - 2015 - Hydrodynamic modeling to evaluate the influence of constructed side-channel habitat on larval drift of pallid strugeon in the Lower Missouri River","interactions":[],"lastModifiedDate":"2017-05-16T12:10:20","indexId":"70150368","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrodynamic modeling to evaluate the influence of constructed side-channel habitat on larval drift of pallid strugeon in the Lower Missouri River","docAbstract":"<p>Larval drift is a critical phase of ontogeny for many species of lotic fishes. Downstream advection and dispersion of drifting larvae or eggs is controlled by the complex interaction of flow regime, channel planform, local channel morphology, and the resulting hydraulic gradients. In many regulated rivers, channel engineering and perturbations to the flow regime may disrupt natural dispersal processes and prevent successful recruitment of native fishes. Here, we explore the influence of flow regime and channel morphology on the downstream transport, dispersion, and retention of free embryos of pallid sturgeon (Scaphirhychus albus), an endangered species endemic to the Mississippi River basin and the focus of significant conservation effort on the Missouri River. The transition from drifting free embryo to exogenously feeding larvae has been identified as a potential life stage bottleneck for the pallid sturgeon. We use a two-dimensional hydrodynamic model to evaluate the sensitivity of drift and dispersion to in-channel navigation structures, constructed shallow-water habitat, and flood hydrology. In the simulations, larvae were treated as passively drifting particles and calculated retention times were used as an index of potential for settling and retention within specific environments. During low flows, retention of larvae is promoted by shallow, low velocity conditions provided by constructed side-channel habitats. At higher flows, retention is driven by overbank flows that inundate the floodplain. Based on insights gained from the analysis of field data and modeling outputs, we consider the effects of flow regime modifications or channel re-engineering on the distribution and retention of free embryos within the Lower Missouri River. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the joint federal interagency conference 2015: Proceedings of papers of the 5th federal interagency hydrologic modeling conference and the 10th federal interagency sedimentation conference (Proceedings of the 3rd joint federal interagency conference on sedimentation and hydrologic modeling)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"Advisory Committee on Water Information","usgsCitation":"Erwin, S.O., and Jacobson, R.B., 2015, Hydrodynamic modeling to evaluate the influence of constructed side-channel habitat on larval drift of pallid strugeon in the Lower Missouri River, <i>in</i> Proceedings of the joint federal interagency conference 2015: Proceedings of papers of the 5th federal interagency hydrologic modeling conference and the 10th federal interagency sedimentation conference (Proceedings of the 3rd joint federal interagency conference on sedimentation and hydrologic modeling), Reno, NV, April 19-23, 2015, p. 751-760.","productDescription":"10 p.","startPage":"751","endPage":"760","ipdsId":"IP-061797","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":302264,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/index.html"},{"id":341351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Missouri River","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591c0fcbe4b0a7fdb43ddefc","contributors":{"authors":[{"text":"Erwin, Susannah O. 0000-0002-2799-0118 serwin@usgs.gov","orcid":"https://orcid.org/0000-0002-2799-0118","contributorId":5183,"corporation":false,"usgs":true,"family":"Erwin","given":"Susannah","email":"serwin@usgs.gov","middleInitial":"O.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":556740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":556741,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70140316,"text":"70140316 - 2015 - To predict the niche, model colonization and extinction","interactions":[],"lastModifiedDate":"2015-02-06T10:59:10","indexId":"70140316","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"To predict the niche, model colonization and extinction","docAbstract":"<p><span>Ecologists frequently try to predict the future geographic distributions of species. Most studies assume that the current distribution of a species reflects its environmental requirements (i.e., the species' niche). However, the current distributions of many species are unlikely to be at equilibrium with the current distribution of environmental conditions, both because of ongoing invasions and because the distribution of suitable environmental conditions is always changing. This mismatch between the equilibrium assumptions inherent in many analyses and the disequilibrium conditions in the real world leads to inaccurate predictions of species' geographic distributions and suggests the need for theory and analytical tools that avoid equilibrium assumptions. Here, we develop a general theory of environmental associations during periods of transient dynamics. We show that time-invariant relationships between environmental conditions and rates of local colonization and extinction can produce substantial temporal variation in occupancy&ndash;environment relationships. We then estimate occupancy&ndash;environment relationships during three avian invasions. Changes in occupancy&ndash;environment relationships over time differ among species but are predicted by dynamic occupancy models. Since estimates of the occupancy&ndash;environment relationships themselves are frequently poor predictors of future occupancy patterns, research should increasingly focus on characterizing how rates of local colonization and extinction vary with environmental conditions.</span></p>","language":"English","publisher":"Ecology","doi":"10.1890/14-1361.1","usgsCitation":"Yackulic, C.B., Nichols, J., Reid, J., and Der, R., 2015, To predict the niche, model colonization and extinction: Ecology, v. 96, no. 1, p. 16-23, https://doi.org/10.1890/14-1361.1.","productDescription":"8 p.","startPage":"16","endPage":"23","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054448","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/14-1361.1","text":"Publisher Index Page"},{"id":297778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac3e4b08de9379b31e9","contributors":{"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":539954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139082,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":539955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, Janice","contributorId":89391,"corporation":false,"usgs":false,"family":"Reid","given":"Janice","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":539956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Der, Ricky","contributorId":139084,"corporation":false,"usgs":false,"family":"Der","given":"Ricky","email":"","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":539957,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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