{"pageNumber":"1114","pageRowStart":"27825","pageSize":"25","recordCount":165459,"records":[{"id":70191463,"text":"70191463 - 2016 - The role of science through a century of elk and habitat management at Rocky Mountain National Park","interactions":[],"lastModifiedDate":"2017-10-13T11:27:27","indexId":"70191463","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"The role of science through a century of elk and habitat management at Rocky Mountain National Park","docAbstract":"<p><span><span>Over the past century&nbsp;</span>elk (</span><i>Cervus elaphus</i><span>) management in Rocky Mountain National Park has evolved along with NPS policy, social values, and an improved understanding of the role of elk in the ecosystem. Science has played an important part in shaping management approaches through the application of monitoring and research (Monello et al. 2006).</span></p>","language":"English","publisher":"National Park Service","usgsCitation":"Johnson, T., Zeigenfuss, L., Hobbs, N., and Mack, J., 2016, The role of science through a century of elk and habitat management at Rocky Mountain National Park: Park Science, v. 32, no. 2, p. 70-72.","productDescription":"3 p.","startPage":"70","endPage":"72","ipdsId":"IP-065603","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346577,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/ParkScience/articles/parkscience32_2_70-72_johnson_et_al_3841.htm"}],"country":"United States","otherGeospatial":"Rocky Mountain National Park","volume":"32","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e1d09ae4b05fe04cd117be","contributors":{"authors":[{"text":"Johnson, Therese L.","contributorId":197040,"corporation":false,"usgs":false,"family":"Johnson","given":"Therese L.","affiliations":[],"preferred":false,"id":712362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zeigenfuss, Linda 0000-0002-6700-8563 linda_zeigenfuss@usgs.gov","orcid":"https://orcid.org/0000-0002-6700-8563","contributorId":2079,"corporation":false,"usgs":true,"family":"Zeigenfuss","given":"Linda","email":"linda_zeigenfuss@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":712361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobbs, N. Thompson","contributorId":197041,"corporation":false,"usgs":false,"family":"Hobbs","given":"N. Thompson","affiliations":[],"preferred":false,"id":712363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, John A.","contributorId":197042,"corporation":false,"usgs":false,"family":"Mack","given":"John A.","affiliations":[],"preferred":false,"id":712364,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196351,"text":"70196351 - 2016 - Estimating abundance","interactions":[],"lastModifiedDate":"2018-04-03T11:48:19","indexId":"70196351","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimating abundance","docAbstract":"<p><span>This chapter provides a non-technical overview of ‘closed population capture–recapture’ models, a class of well-established models that are widely applied in ecology, such as removal sampling, covariate models, and distance sampling. These methods are regularly adopted for studies of reptiles, in order to estimate abundance from counts of marked individuals while accounting for imperfect detection. Thus, the chapter describes some classic closed population models for estimating abundance, with considerations for some recent extensions that provide a spatial context for the estimation of abundance, and therefore density. Finally, the chapter suggests some software for use in data analysis, such as the Windows-based program MARK, and provides an example of estimating abundance and density of reptiles using an artificial cover object survey of Slow Worms (</span><i>Anguis fragilis</i><span>).</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reptile ecology and conservation: A handbook of techniques","language":"English","publisher":"Oxford University Press","doi":"10.1093/acprof:oso/9780198726135.003.0027","usgsCitation":"Sutherland, C., and Royle, A., 2016, Estimating abundance, chap. <i>of</i> Reptile ecology and conservation: A handbook of techniques, p. 388-401, https://doi.org/10.1093/acprof:oso/9780198726135.003.0027.","productDescription":"14 p.","startPage":"388","endPage":"401","ipdsId":"IP-070653","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":353097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4be4b0da30c1bfc5dd","contributors":{"authors":[{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":732536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732535,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191522,"text":"70191522 - 2016 - Estimating abundance: Chapter 27","interactions":[],"lastModifiedDate":"2017-11-30T12:58:43","indexId":"70191522","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimating abundance: Chapter 27","docAbstract":"<p><span>This chapter provides a non-technical overview of ‘closed population capture–recapture’ models, a class of well-established models that are widely applied in ecology, such as removal sampling, covariate models, and distance sampling. These methods are regularly adopted for studies of reptiles, in order to estimate abundance from counts of marked individuals while accounting for imperfect detection. Thus, the chapter describes some classic closed population models for estimating abundance, with considerations for some recent extensions that provide a spatial context for the estimation of abundance, and therefore density. Finally, the chapter suggests some software for use in data analysis, such as the Windows-based program MARK, and provides an example of estimating abundance and density of reptiles using an artificial cover object survey of Slow Worms (</span><i>Anguis fragilis</i><span>).</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reptile ecology and conservation: A handbook of techniques","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/acprof:oso/9780198726135.003.0027","usgsCitation":"Royle, J., 2016, Estimating abundance: Chapter 27, chap. <i>of</i> Reptile ecology and conservation: A handbook of techniques, p. 388-401, https://doi.org/10.1093/acprof:oso/9780198726135.003.0027.","productDescription":"14 p.","startPage":"388","endPage":"401","ipdsId":"IP-066002","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":349590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fdf","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":712610,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70186653,"text":"70186653 - 2016 - Proceedings of the 2015 international summit on fibropapillomatosis: Global status, trends, and population impacts","interactions":[],"lastModifiedDate":"2017-04-25T16:34:06","indexId":"70186653","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":269,"text":"NOAA Technical Memorandum","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NMFS-PIFSC-54","title":"Proceedings of the 2015 international summit on fibropapillomatosis: Global status, trends, and population impacts","docAbstract":"<p><span>The 2015 International Summit on Fibropapillomatosis (FP) was convened in Honolulu, Hawaii June 11-14, 2015. Scientists from around the world were invited to present results from sea turtle monitoring and research programs as they relate to the global status, trends, and population impacts of FP on green turtles. The participants engaged in discussions that resulted in the following conclusions: 1.Globally, FP has long been present in wild sea turtle populations the earliest mention was in the late 1800s in the Florida Keys. 2.FP primarily affects medium-sized immature turtles in coastal foraging pastures. 3.Expression of FP differs across ocean basins and to some degree within basins. Turtles in the Southeast US, Caribbean, Brazil, and Australia rarely have oral tumors (inside the mouth cavity), whereas they are common and often severe in Hawaii. Internal tumors (on vital organs) occur in the Atlantic and Hawaii, but only rarely in Australia. Liver tumors are common in Florida but not in Hawaii. 4.Recovery from FP through natural processes, when the affliction is not severe, has been documented in wild populations globally. 5.FP causes reduced survivorship, but documented mortality rates in Australia and Hawaii are low. The mortality impact of FP is not currently exceeding population growth rates in some intensively monitored populations (e.g., Florida, Hawaii) as evidenced by increasing nesting trends despite the incidence of FP in immature foraging populations. 6.Pathogens, hosts, and potential disease and environmental cofactors have the capacity to change; while we are having success now, there needs to be continued monitoring to detect changes in the distribution, occurrence, and severity of the disease. 7.While we do not have clear evidence to provide the direct link, globally, the preponderance of sites with a high frequency of FP tumors are areas with some degree of degradation resulting from altered watersheds. Watershed management and responsible coastal development may be the best approach for reducing the spread and prevalence of the disease. 8.Future research efforts should employ a multi-factorial ecological approach (e.g., virology, parasitology, genetics, health, diet, habitat use, water quality, etc.) since there are likely several environmental cofactors involved in the expression of the disease, which is still thought to be caused by a herpesvirus. 9.Minimum FP data collection in new areas should include: individual identification (photo ID, PIT tags, etc.), standard measurements (length and weight), presence/absence of tumors, tumor severity, body condition, oral examination, method of capture, and effort</span></p>","conferenceTitle":"2015 International Summit on Fibropapillomatosis","conferenceDate":"June 11-14, 2015","conferenceLocation":"Honolulu, HI","language":"English","publisher":"NOAA","doi":"10.7289/V5/TM-PIFSC-54","usgsCitation":"Hargrove, S.A., Work, T.M., Brunson, S., Foley, A., and Balazs, G.H., 2016, Proceedings of the 2015 international summit on fibropapillomatosis: Global status, trends, and population impacts: NOAA Technical Memorandum NMFS-PIFSC-54, v, 79 p., https://doi.org/10.7289/V5/TM-PIFSC-54.","productDescription":"v, 79 p.","numberOfPages":"87","ipdsId":"IP-077988","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":339356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e753ede4b09da6799c0c51","contributors":{"authors":[{"text":"Hargrove, Stacy A.","contributorId":190643,"corporation":false,"usgs":false,"family":"Hargrove","given":"Stacy","email":"","middleInitial":"A.","affiliations":[{"id":16685,"text":"National Oceanic and Atmopheric Administration","active":true,"usgs":false}],"preferred":false,"id":690182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":690183,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brunson, Shandell","contributorId":190647,"corporation":false,"usgs":false,"family":"Brunson","given":"Shandell","email":"","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":690184,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foley, Allen M.","contributorId":80178,"corporation":false,"usgs":true,"family":"Foley","given":"Allen M.","affiliations":[],"preferred":false,"id":690185,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balazs, George H.","contributorId":127680,"corporation":false,"usgs":false,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":690186,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70171244,"text":"70171244 - 2016 - Volcanogenic massive sulphide and orogenic gold deposits of northern southeast Alaska","interactions":[],"lastModifiedDate":"2017-04-20T12:33:34","indexId":"70171244","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Volcanogenic massive sulphide and orogenic gold deposits of northern southeast Alaska","docAbstract":"<p>This five-day field trip visits the most significant mineral deposits in northern southeast Alaska. The trip begins and ends with regional transects in the interior Intermontane terranes around Whitehorse, Yukon, and the Insular terranes along the northern Chatham Strait region of southeast Alaska (Fig. A-1 and Fig. A-2; Plate-1). To put the deposits in a regional tectonic framework, the guidebook begins with an introduction to northern Cordilleran geology, tectonics and metallogeny. The foci of the deposit portion of the field trip are Late Triassic volcanogenic massive sulphide (VMS) deposits of the Alexander Triassic metallogenic belt and Paleogene orogenic gold deposits of the Juneau gold belt. Details of the local geology are further elaborated in each segment of the guide book (Days 1-5). The data that provide the basis for the VMS deposit interpretations come from a series of PhD and MSc studies by the Centre of Excellence in Ore Deposit Research (CODES) at the University of Tasmania and the University of Ottawa. These deposit-scale studies are complimented by a long history of regional mapping and research by the U.S. Geological Survey (USGS). </p>","language":"English","publisher":"Yukon Geological Survey","usgsCitation":"Sack, P.J., Karl, S.M., Steeves, N., and Gemmell, J., 2016, Volcanogenic massive sulphide and orogenic gold deposits of northern southeast Alaska, Report: 78 p.; 1 Plate: 43.0 x 42.0 inches.","productDescription":"Report: 78 p.; 1 Plate: 43.0 x 42.0 inches","numberOfPages":"82","ipdsId":"IP-075081","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":340038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340037,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://data.geology.gov.yk.ca/Reference/78493"}],"publicComments":"Guidebook for the Whitehorse 2016 Annual conference of the Geological Association of Canada (GAC) - Mineralogical Association of Canada (MAC)","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f9c8cee4b0b7ea545240ed","contributors":{"authors":[{"text":"Sack, Patrick J","contributorId":169625,"corporation":false,"usgs":false,"family":"Sack","given":"Patrick","email":"","middleInitial":"J","affiliations":[{"id":25565,"text":"Yukon Geological Survey, Whitehorse","active":true,"usgs":false}],"preferred":false,"id":630353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":630352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steeves, Nathan","contributorId":169626,"corporation":false,"usgs":false,"family":"Steeves","given":"Nathan","email":"","affiliations":[{"id":25566,"text":"Centre of Excellence in Ore Deposit Research, University of Tasmania, Hobart","active":true,"usgs":false}],"preferred":false,"id":630354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gemmell, J Bruce","contributorId":169627,"corporation":false,"usgs":false,"family":"Gemmell","given":"J Bruce","affiliations":[{"id":25566,"text":"Centre of Excellence in Ore Deposit Research, University of Tasmania, Hobart","active":true,"usgs":false}],"preferred":false,"id":630355,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159609,"text":"70159609 - 2016 - Hydrologic response of desert wetlands to Holocene climate change: preliminary results from the Soda Springs area, Mojave National Preserve, California","interactions":[],"lastModifiedDate":"2017-04-28T09:33:15","indexId":"70159609","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrologic response of desert wetlands to Holocene climate change: preliminary results from the Soda Springs area, Mojave National Preserve, California","docAbstract":"Desert wetlands are common features in arid environments and include a variety of hydrologic facies, including seeps, springs, marshes, wet meadows, ponds, and spring pools.  Wet ground conditions and dense stands of vegetation in these settings combine to trap eolian, alluvial, and fluvial sediments that accumulate over time.  The resulting deposits are collectively called ground-water discharge (GWD) deposits, and contain information on how small desert watersheds responded to climate change in the past.  Most GWD studies in the southwestern U.S. have focused on the late Pleistocene because the Holocene was too dry to support the extensive wetland systems that were so pervasive just a few millennia earlier.  Here we describe the results of a pilot project that involves coring extant wetlands and analyzing the sedimentology and microfauna of the recovered sediment to infer Holocene hydrologic conditions.  In 2011, a series of cores were taken near wetlands situated along the western margin of the Soda Lake basin in the Mojave National Preserve of southern California.  The core sediments appear to show that the wetlands responded to the relatively minor climate fluctuations that characterized the Holocene.  However, our analysis was limited by relatively low sediment recovery (which only averaged 70-80%) and a general paucity of datable materials in the cores.  Additional studies aimed at improving recovery and developing new techniques for concentrating plant microfossils (plant remains that are <150 m in diameter) for radiocarbon dating are ongoing.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 1st Death Valley Natural History Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"First Death Valley Natural History Conference","language":"English","publisher":"Death Valley Natural History Association","usgsCitation":"Pigati, J., Reheis, M.C., McGeehin, J.P., Honke, J., and Bright, J., 2016, Hydrologic response of desert wetlands to Holocene climate change: preliminary results from the Soda Springs area, Mojave National Preserve, California, <i>in</i> Proceedings of the 1st Death Valley Natural History Conference, p. 2-19.","productDescription":"18 p.","startPage":"2","endPage":"19","ipdsId":"IP-052618","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a6e4b022cee40dc246","contributors":{"authors":[{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":149825,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":579703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":1196,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":693378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGeehin, John P. mcgeehin@usgs.gov","contributorId":140956,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":693379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Honke, Jeffrey S.","contributorId":46412,"corporation":false,"usgs":true,"family":"Honke","given":"Jeffrey S.","affiliations":[],"preferred":false,"id":693380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bright, J.","contributorId":191525,"corporation":false,"usgs":false,"family":"Bright","given":"J.","affiliations":[],"preferred":false,"id":693381,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70170995,"text":"70170995 - 2016 - Coupling centennial-scale shoreline change to sea-level rise and coastal morphology in the Gulf of Mexico using a Bayesian network","interactions":[],"lastModifiedDate":"2016-06-20T10:25:01","indexId":"70170995","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Coupling centennial-scale shoreline change to sea-level rise and coastal morphology in the Gulf of Mexico using a Bayesian network","docAbstract":"<p>Predictions of coastal evolution driven by episodic and persistent processes associated with storms and relative sea-level rise (SLR) are required to test our understanding, evaluate our predictive capability, and to provide guidance for coastal management decisions. Previous work demonstrated that the spatial variability of long-term shoreline change can be predicted using observed SLR rates, tide range, wave height, coastal slope, and a characterization of the geomorphic setting. The shoreline is not suf- ficient to indicate which processes are important in causing shoreline change, such as overwash that depends on coastal dune elevations. Predicting dune height is intrinsically important to assess future storm vulnerability. Here, we enhance shoreline-change predictions by including dune height as a vari- able in a statistical modeling approach. Dune height can also be used as an input variable, but it does not improve the shoreline-change prediction skill. Dune-height input does help to reduce prediction uncer- tainty. That is, by including dune height, the prediction is more precise but not more accurate. Comparing hindcast evaluations, better predictive skill was found when predicting dune height (0.8) compared with shoreline change (0.6). The skill depends on the level of detail of the model and we identify an optimized model that has high skill and minimal overfitting. The predictive model can be implemented with a range of forecast scenarios, and we illustrate the impacts of a higher future sea-level. This scenario shows that the shoreline change becomes increasingly erosional and more uncertain. Predicted dune heights are lower and the dune height uncertainty decreases.</p>","language":"English","publisher":"Earth's Future","doi":"10.1002/2015EF000331","usgsCitation":"Plant, N.G., 2016, Coupling centennial-scale shoreline change to sea-level rise and coastal morphology in the Gulf of Mexico using a Bayesian network: Earth's Future, v. 4, https://doi.org/10.1002/2015EF000331.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070872","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471382,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015ef000331","text":"Publisher Index Page"},{"id":323954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321270,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/info:doi/10.1002/2015EF000331"}],"volume":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-02","publicationStatus":"PW","scienceBaseUri":"576913b5e4b07657d19ff006","contributors":{"authors":[{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":629372,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70195945,"text":"70195945 - 2016 - Influence of basin- and local-scale environmental conditions on nearshore production in the northeast Pacific Ocean","interactions":[],"lastModifiedDate":"2018-03-09T10:10:34","indexId":"70195945","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","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":"Influence of basin- and local-scale environmental conditions on nearshore production in the northeast Pacific Ocean","docAbstract":"<p><span>Nearshore marine habitats are productive and vulnerable owing to their connections to pelagic and terrestrial landscapes. To understand how ocean basin- and local-scale conditions may influence nearshore species, we developed an annual index of nearshore production (spanning the period 1972–2010) from growth increments recorded in otoliths of representative pelagic-feeding (Black Rockfish&nbsp;</span><i>Sebastes melanops</i><span>) and benthic-feeding (Kelp Greenling<span>&nbsp;</span></span><i>Hexagrammos decagrammus</i><span>) nearshore-resident fishes at nine sites in the California Current and Alaska Coastal Current systems. We explored the influence of basin- and local-scale conditions across all seasons at lags of up to 2 years to represent changes in prey quantity (1- or 2-year time lags) and quality (within-year relationships). Relationships linking fish growth to basin-scale (Pacific Decadal Oscillation, North Pacific Gyre Oscillation, and multivariate El Niño–Southern Oscillation index) and local-scale (sea surface temperature, sea surface height anomalies, upwelling index, photosynthetically active radiation, and freshwater discharge) environmental conditions varied by species and current system. Growth of Black Rockfish increased with cool basin-scale conditions in the California Current and warm local-scale conditions in the Alaska Coastal Current, consistent with existing hypotheses linking climate to pelagic production on continental shelves in the respective regions. Relationships for Kelp Greenlings in the California Current were complex, with faster growth related to within-year warm conditions and lagged-year cool conditions. These opposing, lag-dependent relationships may reflect differences in conditions that promote quantity versus quality of benthic invertebrate prey in the California Current. Thus, we hypothesize that benthic production is maximized by alternating cool and warm years, as benthic invertebrate recruitment is food limited during warm years while growth is temperature limited by cool years in the California Current. On the other hand, Kelp Greenlings grew faster during and subsequent to warm conditions at basin and local scales in the Alaska Coastal Current.</span></p>","language":"English","publisher":"Wiley","doi":"10.1080/19425120.2016.1194919","usgsCitation":"von Biela, V.R., Zimmerman, C.E., Kruse, G.H., Mueter, F.J., Black, B.A., Douglas, D.C., and Bodkin, J.L., 2016, Influence of basin- and local-scale environmental conditions on nearshore production in the northeast Pacific Ocean: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 8, no. 1, p. 502-521, https://doi.org/10.1080/19425120.2016.1194919.","productDescription":"20 p.","startPage":"502","endPage":"521","ipdsId":"IP-070244","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":471559,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2016.1194919","text":"Publisher Index Page"},{"id":352356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.400390625,\n              36.10237644873644\n            ],\n            [\n              -121.55273437499999,\n              36.10237644873644\n            ],\n            [\n              -121.55273437499999,\n              60.54377524118842\n            ],\n            [\n              -160.400390625,\n              60.54377524118842\n            ],\n            [\n              -160.400390625,\n              36.10237644873644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-18","publicationStatus":"PW","scienceBaseUri":"5afeea4be4b0da30c1bfc5df","contributors":{"authors":[{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":730633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":730634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kruse, Gordon H.","contributorId":187450,"corporation":false,"usgs":false,"family":"Kruse","given":"Gordon","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":730635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueter, Franz J.","contributorId":131144,"corporation":false,"usgs":false,"family":"Mueter","given":"Franz","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":730636,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":730637,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":730638,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":730639,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178775,"text":"70178775 - 2016 - Exploration and geology of the Karangahake and Rahu epithermal Au-Ag deposits, Hauraki Goldfield","interactions":[],"lastModifiedDate":"2017-03-16T14:35:41","indexId":"70178775","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Exploration and geology of the Karangahake and Rahu epithermal Au-Ag deposits, Hauraki Goldfield","docAbstract":"Karangahake was the third largest gold producer in the Hauraki goldfield. In 2009, New Talisman Gold mines was granted a mining permit, and plans are underway to commence underground mine development of the Maria vein, which has a maiden Ore Reserve (consistent with the 2012 JORC Code) of 28 800 oz Au and 127 800 oz Ag. Exploration drilling at Rahu, located 2 km north of Karangahake has identified polymictic hydrothermal breccias and quartz veins that are strongly gold anomalous. Some quartz vein clasts within the breccia have up to 8.7 g/t Au, suggesting the presence of higher grade quartz vein(s) either below or directly adjacent to the breccias. A controlled source audio-frequency magnetotelluric (CSAMT) survey at Rahu revealed that strongly resistive zones extend below the Barbara and Eunice anomalies to at least 300 m depth and likely correspond to areas of increased silicification, breccias and/or veins. Future drilling will focus on these targets. \nDetailed geophysical, alteration and fluid inclusion studies have been undertaken at Karangahake, Rahu and Ascot (c 1 km NW of Rahu). Karangahake and Rahu both occur within a broad demagnetised zone, c 4.2 × 2.7 km, in which magnetite has been destroyed by strong hydrothermal alteration. At Karangahake, andesite and overlying minor rhyolite are replaced by adularia, chlorite, illite, pyrite, plus minor albite, epidote and calcite, which have formed from upwelling chloride waters that at depth were hotter than 280°C. At Rahu, localised adularia coupled with complex distributions of illite and interstratified illite-smectite, suggest cooler (c 180° to 240°C) and more focused fluid flow, as well as inferred cool groundwater influx. Fluid inclusion data suggest veins at Karangahake, Rahu and Ascot formed beneath palaeowater tables at 920 m, 440 m and 430 m relative to current sea level (asl), respectively. At Ascot, the presence of silica sinter at 135 m asl, which formed at the palaeosurface, is shallower compared to the fluid inclusion depth estimate and suggests that the palaeowater table here rose some 300 m during hydrothermal activity due to burial, resulting in overprinting. This overprint may also have occurred at Karangahake and Rahu, but the evidence is inconclusive; although burial during hydrothermal activity could explain the exceptional 700 m vertical range of mineralisation at Karangahake and raises the possibility of concealed mineralisation at depth elsewhere within the Karangahake alteration envelope.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"AusIMM Monograph 31: Mineral deposits of New Zealand—Exploration and research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"The Australasian Institute of Mining and Metallurgy","usgsCitation":"Simpson, M.P., Stevens, M.R., Mauk, J.L., Harris, M.C., and Stuart, A.G., 2016, Exploration and geology of the Karangahake and Rahu epithermal Au-Ag deposits, Hauraki Goldfield, chap. <i>of</i> AusIMM Monograph 31: Mineral deposits of New Zealand—Exploration and research, p. 283-292.","productDescription":"10 p.","startPage":"283","endPage":"292","ipdsId":"IP-071527","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":337764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41ce4b0849ce97dc74e","contributors":{"authors":[{"text":"Simpson, Mark P.","contributorId":140072,"corporation":false,"usgs":false,"family":"Simpson","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":13376,"text":"The University of Auckland","active":true,"usgs":false}],"preferred":false,"id":655110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Murray R","contributorId":177236,"corporation":false,"usgs":false,"family":"Stevens","given":"Murray","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":655111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":655109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Matthew C","contributorId":177237,"corporation":false,"usgs":false,"family":"Harris","given":"Matthew","email":"","middleInitial":"C","affiliations":[],"preferred":false,"id":655112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stuart, Alistair G J","contributorId":177238,"corporation":false,"usgs":false,"family":"Stuart","given":"Alistair","email":"","middleInitial":"G J","affiliations":[],"preferred":false,"id":655113,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162631,"text":"70162631 - 2016 - Estuaries: Life on the edge: Chapter 19","interactions":[],"lastModifiedDate":"2017-04-17T14:58:12","indexId":"70162631","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estuaries: Life on the edge: Chapter 19","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecosystems of California","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","publisherLocation":"Oakland, CA","usgsCitation":"Cloern, J.E., Barnard, P., Beller, E., Callaway, J.C., Grenier, L., Grosholz, E., Grossinger, R., Hieb, K., Holligaugh, J.T., Knowles, N., Sutula, M., Veloz, S., Wasson, K., and Whipple, A., 2016, Estuaries: Life on the edge: Chapter 19, chap. <i>of</i> Ecosystems of California, p. 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,{"id":70182743,"text":"70182743 - 2016 - Stronger or longer: Discriminating between Hawaiian and Strombolian eruption styles","interactions":[],"lastModifiedDate":"2017-11-03T18:33:48","indexId":"70182743","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Stronger or longer: Discriminating between Hawaiian and Strombolian eruption styles","docAbstract":"The weakest explosive volcanic eruptions globally, Strombolian explosions and Hawaiian fountaining, are also the most common. Yet, despite over a hundred years of observations, no classifications have offered a convincing, quantitative way of demarcating these two styles. New observations show that the two styles are distinct in their eruptive timescale, with the duration of Hawaiian fountaining exceeding Strombolian explosions by about 300 to 10,000 seconds. This reflects the underlying process of whether shallow-exsolved gas remains trapped in the erupting magma or whether it is decoupled from it. We propose here a classification scheme based on the duration of events (brief explosions versus prolonged fountains) with a cutoff at 300 seconds that separates transient Strombolian explosions from sustained Hawaiian fountains.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G37423.1","usgsCitation":"Houghton, B.F., Taddeucci, J., Andronico, D., Gonnerman, H., Pistolesi, M., Patrick, M.R., Orr, T.R., Swanson, D., Edmonds, M., Carey, R.J., and Scarlato, P., 2016, Stronger or longer: Discriminating between Hawaiian and Strombolian eruption styles: Geology, v. 44, no. 2, p. 163-166, https://doi.org/10.1130/G37423.1.","productDescription":"4 p. 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,{"id":70189206,"text":"70189206 - 2016 - Implications of the methodological choices for hydrologic portrayals of climate change over the contiguous United States: Statistically downscaled forcing data and hydrologic models","interactions":[],"lastModifiedDate":"2017-07-05T16:25:03","indexId":"70189206","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Implications of the methodological choices for hydrologic portrayals of climate change over the contiguous United States: Statistically downscaled forcing data and hydrologic models","docAbstract":"<p><span>Continental-domain assessments of climate change impacts on water resources typically rely on statistically downscaled climate model outputs to force hydrologic models at a finer spatial resolution. This study examines the effects of four statistical downscaling methods [bias-corrected constructed analog (BCCA), bias-corrected spatial disaggregation applied at daily (BCSDd) and monthly scales (BCSDm), and asynchronous regression (AR)] on retrospective hydrologic simulations using three hydrologic models with their default parameters (the Community Land Model, version 4.0; the Variable Infiltration Capacity model, version 4.1.2; and the Precipitation–Runoff Modeling System, version 3.0.4) over the contiguous United States (CONUS). Biases of hydrologic simulations forced by statistically downscaled climate data relative to the simulation with observation-based gridded data are presented. Each statistical downscaling method produces different meteorological portrayals including precipitation amount, wet-day frequency, and the energy input (i.e., shortwave radiation), and their interplay affects estimations of precipitation partitioning between evapotranspiration and runoff, extreme runoff, and hydrologic states (i.e., snow and soil moisture). The analyses show that BCCA underestimates annual precipitation by as much as −250 mm, leading to unreasonable hydrologic portrayals over the CONUS for all models. Although the other three statistical downscaling methods produce a comparable precipitation bias ranging from −10 to 8 mm across the CONUS, BCSDd severely overestimates the wet-day fraction by up to 0.25, leading to different precipitation partitioning compared to the simulations with other downscaled data. Overall, the choice of downscaling method contributes to less spread in runoff estimates (by a factor of 1.5–3) than the choice of hydrologic model with use of the default parameters if BCCA is excluded.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-14-0187.1","usgsCitation":"Mizukami, N., Clark, M.P., Gutmann, E.D., Mendoza, P.A., Newman, A.J., Nijssen, B., Livneh, B., Hay, L.E., Arnold, J.R., and Brekke, L.D., 2016, Implications of the methodological choices for hydrologic portrayals of climate change over the contiguous United States: Statistically downscaled forcing data and hydrologic models: Journal of Hydrometeorology, v. 17, p. 75-98, https://doi.org/10.1175/JHM-D-14-0187.1.","productDescription":"24 p.","startPage":"75","endPage":"98","ipdsId":"IP-064865","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471387,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-14-0187.1","text":"Publisher Index Page"},{"id":343367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-17","publicationStatus":"PW","scienceBaseUri":"595dfab0e4b0d1f9f056a763","contributors":{"authors":[{"text":"Mizukami, Naoki","contributorId":178120,"corporation":false,"usgs":false,"family":"Mizukami","given":"Naoki","email":"","affiliations":[],"preferred":false,"id":703484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Martyn P.","contributorId":194183,"corporation":false,"usgs":false,"family":"Clark","given":"Martyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":703485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gutmann, Ethan D.","contributorId":194227,"corporation":false,"usgs":false,"family":"Gutmann","given":"Ethan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":703486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mendoza, Pablo A.","contributorId":194228,"corporation":false,"usgs":false,"family":"Mendoza","given":"Pablo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":703487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, Andrew J.","contributorId":194229,"corporation":false,"usgs":false,"family":"Newman","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":703488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nijssen, Bart","contributorId":178123,"corporation":false,"usgs":false,"family":"Nijssen","given":"Bart","email":"","affiliations":[],"preferred":false,"id":703490,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Livneh, Ben","contributorId":145804,"corporation":false,"usgs":false,"family":"Livneh","given":"Ben","email":"","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":703491,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703502,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arnold, Jeffrey R.","contributorId":178125,"corporation":false,"usgs":false,"family":"Arnold","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":703492,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brekke, Levi D.","contributorId":6776,"corporation":false,"usgs":true,"family":"Brekke","given":"Levi","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":703493,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70188068,"text":"70188068 - 2016 - Status and trends of land change in selected U.S. ecoregions - 2000 to 2011","interactions":[],"lastModifiedDate":"2017-05-30T12:59:37","indexId":"70188068","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Status and trends of land change in selected U.S. ecoregions - 2000 to 2011","docAbstract":"<p><span>U.S. Geological Survey scientists developed a dataset of 2006 and 2011 land-use and land-cover (</span><small>LULC</small><span>) information for selected 100-km</span><sup>2</sup><span> sample blocks within 29 U.S. Environmental Protection Agency (</span><small>EPA</small><span>) Level III ecoregions across the conterminous United States. The data can be used with the previously published Land Cover Trends Dataset: 1973 to 2000 to assess landuse/land-cover change across a 37-year study period. Results from analysis of these data include ecoregion-based statistical estimates of the amount of </span><small>LULC</small><span> change per time period, ranking of the most common types of conversions, rates of change, and percent composition. Overall estimated amount of change per ecoregion from 2001 to 2011 ranged from a low of 370 km</span><sup>2</sup><span> in the Northern Basin and Range Ecoregion to a high of 78,782 km</span><sup>2</sup><span> in the Southeastern Plains Ecoregion. The Southeastern Plains continues to encompass one of the most intense forest harvesting and regrowth regions in the country, with 16.6 percent of the ecoregion changing between 2001 and 2011. These </span><small>LULC</small><span> change statistics provide a new, valuable resource that complements other reference data and field-verified </span><small>LULC</small><span> data. Researchers can use this resource to independently validate other land change products or to conduct regional land change assessments.</span></p>","language":"English","publisher":"Ingenta","doi":"10.14358/pers.82.9.687","usgsCitation":"Sayler, K., Acevedo, W., and Taylor, J., 2016, Status and trends of land change in selected U.S. ecoregions - 2000 to 2011: Photogrammetric Engineering and Remote Sensing, v. 82, no. 9, p. 687-697, https://doi.org/10.14358/pers.82.9.687.","productDescription":"11 p.","startPage":"687","endPage":"697","ipdsId":"IP-073747","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":488668,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.82.9.687","text":"Publisher Index Page"},{"id":341850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"9","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84bae4b092b266f10d3a","contributors":{"authors":[{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":696384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Janis  0000-0002-9418-5215 jltaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":3869,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis ","email":"jltaylor@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696385,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176420,"text":"70176420 - 2016 - Seasonal electrical resistivity surveys of a coastal bluff, Barter Island, North Slope Alaska","interactions":[],"lastModifiedDate":"2017-04-11T12:45:05","indexId":"70176420","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal electrical resistivity surveys of a coastal bluff, Barter Island, North Slope Alaska","docAbstract":"<p><span>Select coastal regions of the North Slope of Alaska are experiencing high erosion rates that can be attributed in part to recent warming trends and associated increased storm intensity and frequency. The upper sediment column of the coastal North Slope of Alaska can be described as continuous permafrost underlying a thin (typically less than 1–2 m) active layer that responds variably to seasonal thaw cycles. Assessing the temporal and spatial variability of the active layer and underlying permafrost is essential to better constrain how heightened erosion may impact material fluxes to the atmosphere and the coastal ocean, and how enhanced thaw cycles may impact the stability of the coastal bluffs. In this study, multi-channel electrical resistivity tomography (ERT) was used to image shallow subsurface features of a coastal bluff west of Kaktovik, on Barter Island, northeast Alaska. A comparison of a suite of paired resistivity surveys conducted in early and late summer 2014 provided detailed information on how the active layer and permafrost are impacted during the short Arctic summer. Such results are useful in the development of coastal resilience models that tie together fluvial, terrestrial, climatic, geologic, and oceanographic forcings on shoreline stability.</span></p>","language":"English","publisher":"Environmental & Engineering Geophysical Society","doi":"10.2113/JEEG21.1.37","usgsCitation":"Swarzenski, P.W., Johnson, C., Lorenson, T., Conaway, C.H., Gibbs, A.E., Erikson, L.H., Richmond, B.M., and Waldrop, M.P., 2016, Seasonal electrical resistivity surveys of a coastal bluff, Barter Island, North Slope Alaska: Journal of Environmental & Engineering Geophysics, v. 21, no. 1, p. 37-42, https://doi.org/10.2113/JEEG21.1.37.","productDescription":"6 p.","startPage":"37","endPage":"42","ipdsId":"IP-063158","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":339571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Barter Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -143.84811401367188,\n              70.07354279874802\n            ],\n            [\n              -143.4100341796875,\n              70.07354279874802\n            ],\n            [\n              -143.4100341796875,\n              70.16321163823721\n            ],\n            [\n              -143.84811401367188,\n              70.16321163823721\n            ],\n            [\n              -143.84811401367188,\n              70.07354279874802\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58edba76e4b0eed1ab8c6f33","contributors":{"authors":[{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Cordell 0000-0001-8353-8030 cordell_johnson@usgs.gov","orcid":"https://orcid.org/0000-0001-8353-8030","contributorId":147437,"corporation":false,"usgs":true,"family":"Johnson","given":"Cordell","email":"cordell_johnson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conaway, Christopher H. 0000-0002-0991-033X cconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":5074,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher","email":"cconaway@usgs.gov","middleInitial":"H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":648699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648700,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648701,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648702,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":648703,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178749,"text":"70178749 - 2016 - Geology and geomorphology of the Carolina Sandhills, Chesterfield County, South Carolina","interactions":[],"lastModifiedDate":"2018-03-29T11:06:08","indexId":"70178749","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"seriesTitle":{"id":5369,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":15}},"title":"Geology and geomorphology of the Carolina Sandhills, Chesterfield County, South Carolina","docAbstract":"<p><span>This two-day field trip focuses on the geology and geomorphology of the Carolina Sandhills in Chesterfield County, South Carolina. This area is located in the updip portion of the U.S. Atlantic Coastal Plain province, supports an ecosystem of longleaf pine (</span><i>Pinus palustris</i><span>) and wiregrass (</span><i>Aristida stricta</i><span>), and contains three major geologic map units: (1) An ~60–120-m-thick unit of weakly consolidated sand, sandstone, mud, and gravel is mapped as the Upper Cretaceous Middendorf Formation and is interpreted as a fluvial deposit. This unit is capped by an unconformity, and displays reticulate mottling, plinthite, and other paleosol features at the unconformity. The Middendorf Formation is the largest aquifer in South Carolina. (2) A 0.3–10-m-thick unit of unconsolidated sand is mapped as the Quaternary Pinehurst Formation and is interpreted as deposits of eolian sand sheets and dunes derived via remobilization of sand from the underlying Cretaceous strata. This unit displays argillic horizons and abundant evidence of bioturbation by vegetation. (3) A &lt;3-m-thick unit of sand, pebbly sand, sandy mud, and mud is mapped as Quaternary terrace deposits adjacent to modern drainages. In addition to the geologic units listed above, a prominent geomorphologic feature in the study area is a north-trending escarpment (incised by headwater streams) that forms a markedly asymmetric drainage divide. This drainage divide, as well as the Quaternary terraces deposits, are interpreted as evidence of landscape disequilibrium (possibly geomorphic responses to Quaternary climate changes).</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.0042(02)","usgsCitation":"Swezey, C.S., Fitzwater, B.A., and Whittecar, G.R., 2016, Geology and geomorphology of the Carolina Sandhills, Chesterfield County, South Carolina: GSA Field Guides, v. 43, 28 p., https://doi.org/10.1130/2016.0042(02).","productDescription":"28 p.","startPage":"9","endPage":"36","ipdsId":"IP-070960","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":339728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Carolina Sandhills","volume":"43","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f1e0cae4b08144348b7e01","contributors":{"authors":[{"text":"Swezey, Christopher S. 0000-0003-4019-9264 cswezey@usgs.gov","orcid":"https://orcid.org/0000-0003-4019-9264","contributorId":173033,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher","email":"cswezey@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":655035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzwater, Bradley A.","contributorId":177211,"corporation":false,"usgs":false,"family":"Fitzwater","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittecar, G. Richard","contributorId":177212,"corporation":false,"usgs":false,"family":"Whittecar","given":"G.","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":655037,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156652,"text":"70156652 - 2016 - Forest structure of oak plantations after silvicultural treatment to enhance habitat for wildlife","interactions":[],"lastModifiedDate":"2017-03-06T14:13:16","indexId":"70156652","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Forest structure of oak plantations after silvicultural treatment to enhance habitat for wildlife","docAbstract":"During the past 30 years, thousands of hectares of oak-dominated bottomland hardwood plantations have been planted on agricultural fields in the Mississippi Alluvial Valley.   Many of these plantations now have closed canopies and sparse understories. Silvicultural treatments could create a more heterogeneous forest structure, with canopy gaps and increased understory vegetation for wildlife.   Lack of volume sufficient for commercial harvest in hardwood plantations has impeded treatments, but demand for woody biomass for energy production may provide a viable means to introduce disturbance beneficial for wildlife.   We assessed forest structure in response to prescribed pre-commercial perturbations in hardwood plantations resulting from silvicultural treatments: 1) row thinning by felling every fourth planted row; 2) multiple patch cuts with canopy gaps of <1 0.25 – 2 ha; and 3) tree removal on intersecting corridors diagonal to planted rows. These 3 treatments, and an untreated control, were applied to oak plantations (20 - 30 years post-planting) on three National Wildlife Refuges (Cache River, AR; Grand Cote, LA; and Yazoo, MS) during summer 2010. We sampled habitat using fixed-radius plots in 2009 (pre-treatment) and in 2012 (post-treatment) at random locations.   Retained basal area was least in diagonal corridor treatments but had greater variance in patch-cut treatments. All treatments increased canopy openness and the volume of coarse woody debris. Occurrence of birds using early successional habitats was greater on sites treated with patch cuts and diagonal intersections. Canopy openings on row-thinned stands are being filled by lateral crown growth of retained trees whereas patch cut and diagonal intersection gaps appear likely to be filled by regenerating saplings.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 18th Biennial Southern Silvicultural Research Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"18th Biennial Southern Silvicultural Research Conference","language":"English","publisher":"USDA Forest Service, Southern Research Station","usgsCitation":"Twedt, D.J., Phillip, C.P., Guilfoyle, M.P., and Wilson, R.R., 2016, Forest structure of oak plantations after silvicultural treatment to enhance habitat for wildlife, <i>in</i> Proceedings of the 18th Biennial Southern Silvicultural Research Conference, p. 113-121.","productDescription":"9 p.","startPage":"113","endPage":"121","ipdsId":"IP-065562","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":336884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58be833be4b014cc3a3a99ed","contributors":{"editors":[{"text":"Schweitzer, Callie Jo","contributorId":172250,"corporation":false,"usgs":false,"family":"Schweitzer","given":"Callie","email":"","middleInitial":"Jo","affiliations":[],"preferred":false,"id":680817,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Clatterbuck, Wayne K.","contributorId":172251,"corporation":false,"usgs":false,"family":"Clatterbuck","given":"Wayne","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":680818,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Oswalt, Christopher M.","contributorId":172252,"corporation":false,"usgs":false,"family":"Oswalt","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":680819,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":569808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillip, Cherrie-Lee P.","contributorId":146996,"corporation":false,"usgs":false,"family":"Phillip","given":"Cherrie-Lee","email":"","middleInitial":"P.","affiliations":[{"id":16769,"text":"Natural Resource Specialist, U.S Army Corps of Engineers, Hords Creek Lake, 230 Friendship Park Rd, Coleman, TX 76834","active":true,"usgs":false}],"preferred":false,"id":569809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guilfoyle, Michael P.","contributorId":113717,"corporation":false,"usgs":true,"family":"Guilfoyle","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":569810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, R. Randy","contributorId":100287,"corporation":false,"usgs":true,"family":"Wilson","given":"R.","email":"","middleInitial":"Randy","affiliations":[],"preferred":false,"id":569811,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187248,"text":"70187248 - 2016 - Evidence for range contraction of snowshoe hare in Pennsylvania","interactions":[],"lastModifiedDate":"2017-04-27T11:32:15","indexId":"70187248","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for range contraction of snowshoe hare in Pennsylvania","docAbstract":"<p><span>In Pennsylvania, </span><i>Lepus americanus</i><span> (Snowshoe Hare) is near the southern limits of its range and at risk of range contraction because of loss of early-successional forest and impacts of climate change. We used hunter-harvest data to investigate changes in the distribution of Snowshoe Hare in Pennsylvania (1983–2011), forest inventory and land-use data to assess changes in amount and distribution of early-successional forest (1988–2011), and occupancy modeling (2004) to identify habitat and climate variables that explain the current distribution of Snowshoe Hare. We determined presence of Snowshoe Hare based on visual sightings, observations of tracks, and DNA analysis of fecal pellets, and used repeated visits to sampling sites and occupancy models to estimate occupancy rates (Ψ). Hunter-harvest data indicated the range of Snowshoe Hare in Pennsylvania contracted towards northwestern and northeastern portions of the state. Based on occupancy modeling, Snowshoe Hare were most likely to occupy early-successional and mixed deciduous-coniferous forest types and areas with colder winter temperatures, which coincided with the distribution of hunter harvests. Among the 4 forest types, we estimated Ψ = 0.52-0.79 and Ψ = 0.10-0.32 where winter temperatures were coldest and warmest, respectively. Total forest loss was &lt;1% during 1988-2011, and the loss of early-successional forest in the current and former range of Snowshoe Hares was similar as were mean patch size and a fragmentation metric of early-successional habitat. Thus, changes in forest characteristics did not explain the range contraction we observed. We used climate-model predictions and our occupancy model to predict that average occupancy probability across northern Pennsylvania may decline from 0.27 in 2004 to 0.10–0.18 by 2050–2059, depending on the climate model. The range of Snowshoe Hare in Pennsylvania has contracted to regions of Pennsylvania with the coldest winter temperatures and most persistent snowpack, and based on projected climate change, our results suggest further range contraction of Snowshoe Hare in Pennsylvania.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.023.0205","usgsCitation":"Diefenbach, D.R., Rathbun, S.L., Vreeland, J., Grove, D., and Kanapaux, W.J., 2016, Evidence for range contraction of snowshoe hare in Pennsylvania: Northeastern Naturalist, v. 23, no. 2, p. 229-248, https://doi.org/10.1656/045.023.0205.","productDescription":"10 p.","startPage":"229","endPage":"248","ipdsId":"IP-045448","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","volume":"23","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-07","publicationStatus":"PW","scienceBaseUri":"59030326e4b0e862d230f731","contributors":{"authors":[{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rathbun, Stephen L.","contributorId":191483,"corporation":false,"usgs":false,"family":"Rathbun","given":"Stephen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vreeland, J.K.","contributorId":22528,"corporation":false,"usgs":true,"family":"Vreeland","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":693205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grove, Deborah","contributorId":191484,"corporation":false,"usgs":false,"family":"Grove","given":"Deborah","email":"","affiliations":[],"preferred":false,"id":693206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanapaux, William J.","contributorId":191485,"corporation":false,"usgs":false,"family":"Kanapaux","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":693207,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192558,"text":"70192558 - 2016 - Discontinuities concentrate mobile predators: Quantifying organism-environment interactions at a seascape scale","interactions":[],"lastModifiedDate":"2017-10-26T15:19:19","indexId":"70192558","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Discontinuities concentrate mobile predators: Quantifying organism-environment interactions at a seascape scale","docAbstract":"<p>Understanding environmental drivers of spatial patterns is an enduring ecological problem that is critical for effective biological conservation. Discontinuities (ecologically meaningful habitat breaks), both naturally occurring (e.g., river confluence, forest edge, drop-off) and anthropogenic (e.g., dams, roads), can influence the distribution of highly mobile organisms that have land- or seascape scale ranges. A geomorphic discontinuity framework, expanded to include ecological patterns, provides a way to incorporate important but irregularly distributed physical features into organism–environment relationships. Here, we test if migratory striped bass (<i>Morone saxatilis</i>) are consistently concentrated by spatial discontinuities and why. We quantified the distribution of 50 acoustically tagged striped bass at 40 sites within Plum Island Estuary, Massachusetts during four-monthly surveys relative to four physical discontinuities (sandbar, confluence, channel network, drop-off), one continuous physical feature (depth variation), and a geographic location variable (region). Despite moving throughout the estuary, striped bass were consistently clustered in the middle geographic region at sites with high sandbar area, close to channel networks, adjacent to complex confluences, with intermediate levels of bottom unevenness, and medium sized drop-offs. In addition, the highest striped bass concentrations occurred at sites with the greatest additive physical heterogeneity (i.e., where multiple discontinuities co-occurred). The need to incorporate irregularly distributed features in organism–environment relationships will increase as high-quality telemetry and GIS data accumulate for mobile organisms. The spatially explicit approach we used to address this challenge can aid both researchers who seek to understand the impact of predators on ecosystems and resource managers who require new approaches for biological conservation.</p>","language":"English","publisher":"ESA","doi":"10.1002/ecs2.1226","usgsCitation":"Kennedy, C., Mather, M.E., Smith, J.M., Finn, J.T., and Deegan, L.A., 2016, Discontinuities concentrate mobile predators: Quantifying organism-environment interactions at a seascape scale: Ecosphere, v. 7, no. 2, Article e01226; 17 p., https://doi.org/10.1002/ecs2.1226.","productDescription":"Article e01226; 17 p.","ipdsId":"IP-059506","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471364,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1226","text":"Publisher Index Page"},{"id":347507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-26","publicationStatus":"PW","scienceBaseUri":"5a07ea76e4b09af898c8cc8b","contributors":{"authors":[{"text":"Kennedy, Christina G.","contributorId":145646,"corporation":false,"usgs":false,"family":"Kennedy","given":"Christina G.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":716465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":716469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, John T.","contributorId":43398,"corporation":false,"usgs":false,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":716492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deegan, Linda A.","contributorId":34094,"corporation":false,"usgs":false,"family":"Deegan","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":716493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186879,"text":"70186879 - 2016 - CDMetaPOP: An individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics","interactions":[],"lastModifiedDate":"2017-11-22T17:38:20","indexId":"70186879","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"CDMetaPOP: An individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics","docAbstract":"<p>1. Combining landscape demographic and genetics models offers powerful methods for addressing questions for eco-evolutionary applications.<br data-mce-bogus=\"1\"></p><p>2. Using two illustrative examples, we present Cost–Distance Meta-POPulation, a program to simulate changes in neutral and/or selection-driven genotypes through time as a function of individual-based movement, complex spatial population dynamics, and multiple and changing landscape drivers.<br data-mce-bogus=\"1\"></p><p>3. Cost–Distance Meta-POPulation provides a novel tool for questions in landscape genetics by incorporating population viability analysis, while linking directly to conservation applications.<br data-mce-bogus=\"1\"></p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12608","usgsCitation":"Landguth, E.L., Bearlin, A., Day, C., and Dunham, J.B., 2016, CDMetaPOP: An individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics: Methods in Ecology and Evolution, v. 8, no. 1, p. 4-11, https://doi.org/10.1111/2041-210X.12608.","productDescription":"7 p.","startPage":"4","endPage":"11","ipdsId":"IP-076690","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471370,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12608","text":"Publisher Index Page"},{"id":339648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-16","publicationStatus":"PW","scienceBaseUri":"58ef3dabe4b0eed1ab8e3be0","contributors":{"authors":[{"text":"Landguth, Erin L.","contributorId":190821,"corporation":false,"usgs":false,"family":"Landguth","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":690795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bearlin, Andrew","contributorId":190822,"corporation":false,"usgs":false,"family":"Bearlin","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":690796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Casey","contributorId":190823,"corporation":false,"usgs":false,"family":"Day","given":"Casey","affiliations":[],"preferred":false,"id":690797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":690794,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192836,"text":"70192836 - 2016 - Site effects in Port-au-Prince (Haiti) from the analysis of spectral ratio and numerical simulations.","interactions":[],"lastModifiedDate":"2017-10-30T16:11:14","indexId":"70192836","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Site effects in Port-au-Prince (Haiti) from the analysis of spectral ratio and numerical simulations.","docAbstract":"<p><span>To provide better insight into seismic ground motion in the Port‐au‐Prince metropolitan area, we investigate site effects at 12 seismological stations by analyzing 78 earthquakes with magnitude smaller than 5 that occurred between 2010 and 2013. Horizontal‐to‐vertical spectral ratio on earthquake recordings and a standard spectral ratio were applied to the seismic data. We also propose a simplified lithostratigraphic map and use available geotechnical and geophysical data to construct representative soil columns in the vicinity of each station that allow us to compute numerical transfer functions using 1D simulations. At most of the studied sites, spectral ratios are characterized by weak‐motion amplification at frequencies above 5&nbsp;Hz, in good agreement with the numerical transfer functions. A mismatch between the observed amplifications and simulated response at lower frequencies shows that the considered soil columns could be missing a deeper velocity contrast. Furthermore, strong amplification between 2 and 10&nbsp;Hz linked to local topographic features is found at one station located in the south of the city, and substantial amplification below 5&nbsp;Hz is detected near the coastline, which we attribute to deep and soft sediments as well as the presence of surface waves. We conclude that for most investigated sites in Port‐au‐Prince, seismic amplifications due to site effects are highly variable but seem not to be important at high frequencies. At some specific locations, however, they could strongly enhance the low‐frequency content of the seismic ground shaking. Although our analysis does not consider nonlinear effects, we thus conclude that, apart from sites close to the coast, sediment‐induced amplification probably had only a minor impact on the level of strong ground motion, and was not the main reason for the high level of damage in Port‐au‐Prince.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150238","usgsCitation":"St. Fleur, S., Bertrand, E., Courboulex, F., Mercier de Lepinay, B., Deschamps, A., Hough, S.E., Cultrera, G., Boisson, D., and Prepetit, C., 2016, Site effects in Port-au-Prince (Haiti) from the analysis of spectral ratio and numerical simulations.: Bulletin of the Seismological Society of America, v. 106, no. 3, p. 1298-1315, https://doi.org/10.1785/0120150238.","productDescription":"18 p.","startPage":"1298","endPage":"1315","ipdsId":"IP-073232","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Haiti","city":"Port-au-Prince","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73,\n              18.127580917219024\n            ],\n            [\n              -72,\n              18.127580917219024\n            ],\n            [\n              -72,\n              18.80751806940863\n            ],\n            [\n              -73,\n              18.80751806940863\n            ],\n            [\n              -73,\n              18.127580917219024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"59f83a3de4b063d5d3098111","contributors":{"authors":[{"text":"St. Fleur, Sadrac","contributorId":198793,"corporation":false,"usgs":false,"family":"St. Fleur","given":"Sadrac","email":"","affiliations":[],"preferred":false,"id":717135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertrand, Etienne","contributorId":198794,"corporation":false,"usgs":false,"family":"Bertrand","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":717136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Courboulex, Francoise","contributorId":198795,"corporation":false,"usgs":false,"family":"Courboulex","given":"Francoise","email":"","affiliations":[],"preferred":false,"id":717137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mercier de Lepinay, Bernard","contributorId":10322,"corporation":false,"usgs":true,"family":"Mercier de Lepinay","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":717138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deschamps, Anne","contributorId":24269,"corporation":false,"usgs":true,"family":"Deschamps","given":"Anne","email":"","affiliations":[],"preferred":false,"id":717139,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717134,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cultrera, Giovanna","contributorId":198798,"corporation":false,"usgs":false,"family":"Cultrera","given":"Giovanna","email":"","affiliations":[],"preferred":false,"id":717140,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boisson, Dominique","contributorId":198799,"corporation":false,"usgs":false,"family":"Boisson","given":"Dominique","email":"","affiliations":[],"preferred":false,"id":717141,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Prepetit, Claude","contributorId":198800,"corporation":false,"usgs":false,"family":"Prepetit","given":"Claude","email":"","affiliations":[],"preferred":false,"id":717142,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70193060,"text":"70193060 - 2016 - Upper bound of pier scour in laboratory and field data","interactions":[],"lastModifiedDate":"2017-11-21T13:07:57","indexId":"70193060","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3647,"text":"Transportation Research Record","active":true,"publicationSubtype":{"id":10}},"title":"Upper bound of pier scour in laboratory and field data","docAbstract":"<p><span>The U.S. Geological Survey (USGS), in cooperation with the South Carolina Department of Transportation, conducted several field investigations of pier scour in South Carolina and used the data to develop envelope curves defining the upper bound of pier scour. To expand on this previous work, an additional cooperative investigation was initiated to combine the South Carolina data with pier scour data from other sources and to evaluate upper-bound relations with this larger data set. To facilitate this analysis, 569 laboratory and 1,858 field measurements of pier scour were compiled to form the 2014 USGS Pier Scour Database. This extensive database was used to develop an envelope curve for the potential maximum pier scour depth encompassing the laboratory and field data. The envelope curve provides a simple but useful tool for assessing the potential maximum pier scour depth for effective pier widths of about 30 ft or less.</span></p>","language":"English","publisher":"Transportation Research Board","doi":"10.3141/2588-16","usgsCitation":"Benedict, S., and Caldwell, A., 2016, Upper bound of pier scour in laboratory and field data: Transportation Research Record, v. 2588, p. 145-153, https://doi.org/10.3141/2588-16.","productDescription":"9 p.","startPage":"145","endPage":"153","ipdsId":"IP-070566","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":349206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South 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Carolina\",\"nation\":\"USA  \"}}]}","volume":"2588","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-01","publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fca","contributors":{"authors":[{"text":"Benedict, Stephen benedict@usgs.gov","contributorId":127829,"corporation":false,"usgs":true,"family":"Benedict","given":"Stephen","email":"benedict@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":138690,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral W.","email":"acaldwel@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":717785,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70169884,"text":"70169884 - 2016 - Fire as an ecosystem process: Chapter 3","interactions":[],"lastModifiedDate":"2016-07-12T16:13:55","indexId":"70169884","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fire as an ecosystem process: Chapter 3","docAbstract":"<p>This long-anticipated reference and sourcebook for California&rsquo;s remarkable ecological abundance provides an integrated assessment of each major ecosystem type&mdash;its distribution, structure, function, and management. A comprehensive synthesis of our knowledge about this biologically diverse state, Ecosystems of California covers the state from oceans to mountaintops using multiple lenses: past and present, flora and fauna, aquatic and terrestrial, natural and managed. Each chapter evaluates natural processes for a specific ecosystem, describes drivers of change, and discusses how that ecosystem may be altered in the future. This book also explores the drivers of California&rsquo;s ecological patterns and the history of the state&rsquo;s various ecosystems, outlining how the challenges of climate change and invasive species and opportunities for regulation and stewardship could potentially affect the state&rsquo;s ecosystems. The text explicitly incorporates both human impacts and conservation and restoration efforts and shows how ecosystems support human well-being. Edited by two esteemed ecosystem ecologists and with overviews by leading experts on each ecosystem, this definitive work will be indispensable for natural resource management and conservation professionals as well as for undergraduate or graduate students of California&rsquo;s environment and curious naturalists.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecosystems of California","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","isbn":"9780520278806","usgsCitation":"Keeley, J.E., and Safford, H.D., 2016, Fire as an ecosystem process: Chapter 3, chap. <i>of</i> Ecosystems of California.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051438","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":325127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319563,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520278806"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dcfe4e4b0589fa1cbd874","contributors":{"editors":[{"text":"Mooney, Harold A.","contributorId":172852,"corporation":false,"usgs":false,"family":"Mooney","given":"Harold","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":642269,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Zavaleta, Erika S.","contributorId":43233,"corporation":false,"usgs":true,"family":"Zavaleta","given":"Erika","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":642270,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":625451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Safford, Hugh D.","contributorId":112922,"corporation":false,"usgs":true,"family":"Safford","given":"Hugh","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":625452,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173925,"text":"70173925 - 2016 - Cascade Mountain Range in Oregon","interactions":[],"lastModifiedDate":"2016-06-21T11:19:40","indexId":"70173925","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Cascade Mountain Range in Oregon","docAbstract":"<p>The Cascade mountain system extends from northern California to central British Columbia. In Oregon, it comprises the Cascade Range, which is 260 miles long and, at greatest breadth, 90 miles wide&nbsp;<a href=\"http://oregonencyclopedia.org/media/uploads/Table_1.pdf\" target=\"_blank\">(fig. 1</a>). Oregon&rsquo;s Cascade Range covers roughly 17,000 square miles, or about 17 percent of the state, an area larger than each of the smallest nine of the fifty United States. The range is bounded on the east by U.S. Highways 97 and 197. On the west it reaches nearly to Interstate 5<i>,</i>&nbsp;forming the eastern margin of the Willamette Valley and, farther south, abutting the Coast Ranges.&nbsp;</p>\n<p><span>Along its Oregon segment, the Cascade Range is almost entirely volcanic in origin. The volcanoes and their eroded remnants are the visible magmatic expression of the Cascadia subduction zone, where the offshore Juan de Fuca tectonic plate is subducted beneath North America.&nbsp;Subduction occurs as two lithospheric plates collide, and an underthrusted oceanic plate is commonly dragged into the mantle by the pull of gravity, carrying&nbsp;ocean-bottom rock and sediment down to where heat and pressure expel water. As this water rises, it lowers the melting temperature in the overlying hot mantle rocks, thereby promoting melting. The molten rock supplies the volcanic arcs with heat and magma.&nbsp;Cascade Range volcanoes are part of the Ring of Fire, a popular term for the numerous volcanic arcs that encircle the Pacific Ocean.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Oregon Encyclopedia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oregon Historical Society","publisherLocation":"Portland, OR","usgsCitation":"Sherrod, D.R., 2016, Cascade Mountain Range in Oregon, chap. <i>of</i> The Oregon Encyclopedia, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070440","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":324093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324092,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://oregonencyclopedia.org/articles/cascade_mountain_range/#.V2lopvkrJhF"}],"country":"United States","state":"Oregon","otherGeospatial":"Cascade Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.4423828125,\n              41.97582726102573\n            ],\n            [\n              -123.4423828125,\n              45.69083283645816\n            ],\n            [\n              -121.03637695312499,\n              45.69083283645816\n            ],\n            [\n              -121.03637695312499,\n              41.97582726102573\n            ],\n            [\n              -123.4423828125,\n              41.97582726102573\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a6532e4b07657d1a11d19","contributors":{"authors":[{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":639374,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174295,"text":"70174295 - 2016 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2015","interactions":[],"lastModifiedDate":"2016-10-20T09:53:31","indexId":"70174295","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2015","docAbstract":"<p>In 2015, the U.S. Geological Survey’s (USGS) Lake Erie Biological Station (LEBS) successfully completed large vessel surveys in all three of Lake Erie’s basins. Lake Erie Biological Station’s primary vessel surveys included the Western Basin Forage Fish Assessment and East Harbor Fish Community Assessment as well as contributing to the cooperative multi-agency Central Basin Hydroacoustics Assessment, the Eastern Basin Coldwater Community Assessment, and Lower Trophic Level Assessment (see Forage and Coldwater Task Group reports). In 2015, LEBS also initiated a Lake Erie Central Basin Trawling survey in response to the need for forage fish data from Management Unit 3 (as defined by the Yellow Perch Task Group). Results from these surveys contribute to Lake Erie Committee Fish Community Goals and Objectives. Our 2015 vessel operations were initiated in early April and continued into late November. During this time, crews of the R/V Muskie and R/V Bowfin deployed 121 bottom trawls covering 83.2 ha of lake-bottom and catching 105,600 fish totaling 4,065 kg during four separate trawl surveys in the western and central basins of Lake Erie. We deployed and lifted 9.5 km of gillnet, which caught an additional 805 fish, 100 (337 kg) of which were the native coldwater predators Lake Trout, Burbot, and Lake Whitefish (these data are reported in the 2016 Coldwater Task Group report). We also conducted 317 km of hydroacoustic survey transects (reported in the 2016 Forage Task Group report), collected 114 lower trophic (i.e. zooplankton and benthos) samples, and obtained 216 water quality observations (e.g., temperature profiles, and water samples). The LEBS also assisted CLC member agencies with the maintenance and expansion of GLATOS throughout all three Lake Erie sub-basins. Within the following report sections, we describe results from three trawl surveys – the spring and autumn Western Basin Forage Fish Assessment and the East Harbor Forage Fish Assessment – and the Lower Trophic Level Assessment conducted in 2015, and examine trends in the fish community structure and trophic status of Lake Erie. Results of our central basin trawl survey are reported in the 2016 Yellow Perch Task Group report.</p>","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Bodamer Scarbro, B.L., Edwards, W., Kocovsky, P.M., Kraus, R.T., Rogers, M.R., Schoonyan, A., and Stewart, T.R., 2016, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2015, 35 p.","productDescription":"35 p.","ipdsId":"IP-074455","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":330102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publicComments":"Report of the Lake Erie Biological Station (LEBS) to the Great Lakes Fishery Commission at the Annual Meeting of Lake Committees, Niagara, Ontario.","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5809d7c4e4b0f497e78fca6c","contributors":{"authors":[{"text":"Bodamer Scarbro, Betsy L. 0000-0002-9022-7027 bbodamerscarbro@usgs.gov","orcid":"https://orcid.org/0000-0002-9022-7027","contributorId":5857,"corporation":false,"usgs":true,"family":"Bodamer Scarbro","given":"Betsy","email":"bbodamerscarbro@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":651543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, W.H.","contributorId":43718,"corporation":false,"usgs":true,"family":"Edwards","given":"W.H.","affiliations":[],"preferred":false,"id":651544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true}],"preferred":true,"id":651545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":651546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rogers, M. R.","contributorId":176024,"corporation":false,"usgs":false,"family":"Rogers","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":651547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schoonyan, A. L.","contributorId":176025,"corporation":false,"usgs":false,"family":"Schoonyan","given":"A. L.","affiliations":[],"preferred":false,"id":651548,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stewart, T. R.","contributorId":176026,"corporation":false,"usgs":false,"family":"Stewart","given":"T.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":651549,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192536,"text":"70192536 - 2016 - A simple prioritization tool to diagnose impairment of stream temperature for coldwater fishes in the Great Basin","interactions":[],"lastModifiedDate":"2017-11-27T09:40:19","indexId":"70192536","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A simple prioritization tool to diagnose impairment of stream temperature for coldwater fishes in the Great Basin","docAbstract":"<p><span>We provide a simple framework for diagnosing the impairment of stream water temperature for coldwater fishes across broad spatial extents based on a weight-of-evidence approach that integrates biological criteria, species distribution models, and geostatistical models of stream temperature. As a test case, we applied our approach to identify stream reaches most likely to be thermally impaired for Lahontan Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii henshawi</i><span><span>&nbsp;</span>in the upper Reese River, located in the northern Great Basin, Nevada. We first evaluated the capability of stream thermal regime descriptors to explain variation across 170 sites, and we found that the 7-d moving average of daily maximum stream temperatures (7DADM) provided minimal among-descriptor redundancy and, based on an upper threshold of 20°C, was also a good indicator of acute and chronic thermal stress. Next, we quantified the range of Lahontan Cutthroat Trout within our study area using a geographic distribution model. Finally, we used a geostatistical model to assess spatial variation in 7DADM and predict potential thermal impairment at the stream reach scale. We found that whereas 38% of reaches in our study area exceeded a 7DADM of 20°C and 35% were significantly warmer than predicted, only 17% both exceeded the biological criterion and were significantly warmer than predicted. This filtering allowed us to identify locations where physical<span>&nbsp;</span></span><i>and</i><span><span>&nbsp;</span>biological impairment were most likely within the network and that would represent the highest management priorities. Although our approach lacks the precision of more comprehensive approaches, it provides a broader context for diagnosing impairment and is a useful means of identifying priorities for more detailed evaluations across broad and heterogeneous stream networks.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2015.1115449","usgsCitation":"Falke, J.A., Dunham, J., Hockman-Wert, D., and Pahl, R.A., 2016, A simple prioritization tool to diagnose impairment of stream temperature for coldwater fishes in the Great Basin: North American Journal of Fisheries Management, v. 36, no. 1, p. 147-160, https://doi.org/10.1080/02755947.2015.1115449.","productDescription":"14 p.","startPage":"147","endPage":"160","ipdsId":"IP-057867","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471386,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/A_Simple_Prioritization_Tool_to_Diagnose_Impairment_of_Stream_Temperature_for_Coldwater_Fishes_in_the_Great_Basin/2069493","text":"External Repository"},{"id":347448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin","volume":"36","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-01","publicationStatus":"PW","scienceBaseUri":"5a07ea76e4b09af898c8cc8d","contributors":{"authors":[{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. jdunham@usgs.gov","contributorId":147527,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":716150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hockman-Wert, David 0000-0003-2436-6237 dhockman-wert@usgs.gov","orcid":"https://orcid.org/0000-0003-2436-6237","contributorId":3891,"corporation":false,"usgs":true,"family":"Hockman-Wert","given":"David","email":"dhockman-wert@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":716151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pahl, Randy A.","contributorId":198468,"corporation":false,"usgs":false,"family":"Pahl","given":"Randy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716152,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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